From 9077b86de86c8ffb4da874c1b781be3f26275cb0 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Tue, 17 Oct 2023 15:40:07 +0800
Subject: [PATCH 01/27] build(deps-dev): bump urllib3 from 1.26.12 to 1.26.17
 in /docs (#3538)

---
 docs/poetry.lock | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/poetry.lock b/docs/poetry.lock
index b2e0c52c7c0..fa522bb44da 100644
--- a/docs/poetry.lock
+++ b/docs/poetry.lock
@@ -670,17 +670,17 @@ test = ["coverage", "pytest", "pytest-cov"]
 
 [[package]]
 name = "urllib3"
-version = "1.26.12"
+version = "1.26.17"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
-    {file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
+    {file = "urllib3-1.26.17-py2.py3-none-any.whl", hash = "sha256:94a757d178c9be92ef5539b8840d48dc9cf1b2709c9d6b588232a055c524458b"},
+    {file = "urllib3-1.26.17.tar.gz", hash = "sha256:24d6a242c28d29af46c3fae832c36db3bbebcc533dd1bb549172cd739c82df21"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
+brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
 secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 

From 3bb9df7495b31fff60e14e60ee7a7f93fad3a496 Mon Sep 17 00:00:00 2001
From: aceforeverd <teapot@aceforeverd.com>
Date: Tue, 17 Oct 2023 17:50:28 +0800
Subject: [PATCH 02/27] ci: reduce disk usage for java jobs  (#3556)

* build(java): dont pack resouces for source-jars

Github runner has the limitation of disk usage of 14G, this should help
reduce the disk usage on CI.

* ci(sdk): reduce cache size for maven

1. don't include local installed openmldb jars, they are not dependency
2. don't fallback cache if key miss-match

* fix: rm if dir not exists
---
 .github/workflows/sdk.yml | 9 +++++----
 java/pom.xml              | 5 ++++-
 2 files changed, 9 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/sdk.yml b/.github/workflows/sdk.yml
index ed78524a9f6..8f4dc6bd628 100644
--- a/.github/workflows/sdk.yml
+++ b/.github/workflows/sdk.yml
@@ -68,8 +68,6 @@ jobs:
         with:
           path: ~/.m2/repository
           key: ${{ runner.os }}-maven-${{ hashFiles('java/**/pom.xml') }}
-          restore-keys: |
-            ${{ runner.os }}-maven-
 
       - name: prepare release
         if: github.event_name == 'push'
@@ -124,6 +122,7 @@ jobs:
       - name: maven coverage
         working-directory: java
         run: |
+          rm -rfv ~/.m2/repository/com/4paradigm/
           ./mvnw --batch-mode prepare-package
           ./mvnw --batch-mode scoverage:report
 
@@ -160,8 +159,6 @@ jobs:
         with:
           path: ~/.m2/repository
           key: ${{ runner.os }}-maven-${{ hashFiles('java/**/pom.xml') }}
-          restore-keys: |
-            ${{ runner.os }}-maven-
 
       - name: Cache thirdparty
         uses: actions/cache@v3
@@ -236,6 +233,10 @@ jobs:
           MAVEN_USERNAME: ${{ secrets.OSSRH_USERNAME }}
           MAVEN_TOKEN: ${{ secrets.OSSRH_TOKEN }}
           GPG_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
+      - name: cleanup
+        run: |
+          rm -rfv ~/.m2/repository/com/4paradigm/
+
 
   python-sdk:
     runs-on: ubuntu-latest
diff --git a/java/pom.xml b/java/pom.xml
index 00c893a4201..42ba84c34b8 100644
--- a/java/pom.xml
+++ b/java/pom.xml
@@ -355,7 +355,7 @@
                 <plugin>
                     <groupId>org.apache.maven.plugins</groupId>
                     <artifactId>maven-source-plugin</artifactId>
-                    <version>2.2.1</version>
+                    <version>3.3.0</version>
                     <executions>
                         <execution>
                             <id>attach-sources</id>
@@ -364,6 +364,9 @@
                             </goals>
                         </execution>
                     </executions>
+                    <configuration>
+                        <excludeResources>true</excludeResources>
+                    </configuration>
                 </plugin>
                 <plugin>
                     <groupId>org.apache.maven.plugins</groupId>

From 190992d3ce02067baab962c5c5bdd0d673503581 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Fri, 20 Oct 2023 14:57:55 +0800
Subject: [PATCH 03/27] fix: python mac sdk run failed (#3518)

* fix: python mac

* fix: fix  comment
---
 onebox/stop_all.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/onebox/stop_all.sh b/onebox/stop_all.sh
index 747adcdf929..7ba340228f3 100755
--- a/onebox/stop_all.sh
+++ b/onebox/stop_all.sh
@@ -17,7 +17,7 @@
 set -x -e
 
 if [[ "$OSTYPE" = "darwin"* ]]; then
-    pkill -9 -x -l openmldb
+    pkill -9 -x -l openmldb || exit 0
 else
     pgrep -a -f "openmldb.*onebox.*" | awk '{print $1}' | xargs -I {} kill -9 {}
 fi

From 6fe2a30e5679e55e8ac6480a3df5c981e01ee8ca Mon Sep 17 00:00:00 2001
From: aceforeverd <teapot@aceforeverd.com>
Date: Mon, 23 Oct 2023 21:43:22 +0800
Subject: [PATCH 04/27] fix(codegen): handle nullable for date type (#3543)

* fix(codegen): handle nullable for date type

Also fix include headers

* fix(codegen): handle nulls for date and timestamp

always returns allocated structure even it is null, for the cases:
1. construct timestamp from number, even number is < 0
2. construct date from timestamp, even timestamp is null
---
 cases/query/const_query.yaml                  | 12 +++++++++
 hybridse/src/codegen/array_ir_builder.cc      |  1 +
 hybridse/src/codegen/cast_expr_ir_builder.cc  |  5 ++++
 hybridse/src/codegen/date_ir_builder.cc       | 19 ++++++++++----
 hybridse/src/codegen/date_ir_builder.h        | 22 +++++++---------
 hybridse/src/codegen/ir_base_builder.h        |  1 -
 hybridse/src/codegen/native_value.cc          |  1 -
 .../src/codegen/predicate_expr_ir_builder.cc  |  1 +
 hybridse/src/codegen/struct_ir_builder.h      |  6 ++---
 hybridse/src/codegen/timestamp_ir_builder.cc  | 26 ++++++++++---------
 hybridse/src/codegen/timestamp_ir_builder.h   |  9 +++----
 hybridse/src/codegen/type_ir_builder.cc       |  1 +
 hybridse/src/codegen/type_ir_builder.h        |  7 +++--
 hybridse/src/codegen/udf_ir_builder.cc        | 12 ++++-----
 hybridse/src/codegen/udf_ir_builder.h         |  4 ---
 hybridse/src/udf/default_udf_library.cc       | 13 ++--------
 hybridse/src/udf/udf.cc                       | 15 +++--------
 hybridse/src/udf/udf.h                        |  4 ---
 18 files changed, 76 insertions(+), 83 deletions(-)

diff --git a/cases/query/const_query.yaml b/cases/query/const_query.yaml
index 38bbbeb5e47..5efe6fa3c29 100644
--- a/cases/query/const_query.yaml
+++ b/cases/query/const_query.yaml
@@ -126,3 +126,15 @@ cases:
       columns: ['c1 bool', 'c2 int16', 'c3 int', 'c4 double', 'c5 string', 'c6 date', 'c7 timestamp' ]
       rows:
         - [ true, 3, 13, 10.0, 'a string', '2020-05-22', 1590115420000 ]
+  - id: 10
+    mode: procedure-unsupport
+    sql: |
+      select
+        datediff(Date(timestamp(-1)), Date("2021-05-01")) as out1,
+        datediff(Date(timestamp(-2177481600)), Date("2021-05-01")) as out2,
+        datediff(cast(NULL as date), Date("2021-05-01")) as out3
+        ;
+    expect:
+      columns: ["out1 int", "out2 int", "out3 int"]
+      data: |
+        NULL, NULL, NULL
diff --git a/hybridse/src/codegen/array_ir_builder.cc b/hybridse/src/codegen/array_ir_builder.cc
index f07f551caf1..0788c1ba8aa 100644
--- a/hybridse/src/codegen/array_ir_builder.cc
+++ b/hybridse/src/codegen/array_ir_builder.cc
@@ -17,6 +17,7 @@
 #include "codegen/array_ir_builder.h"
 
 #include <string>
+#include "codegen/ir_base_builder.h"
 
 namespace hybridse {
 namespace codegen {
diff --git a/hybridse/src/codegen/cast_expr_ir_builder.cc b/hybridse/src/codegen/cast_expr_ir_builder.cc
index 526a686ae66..bdb6329c6c8 100644
--- a/hybridse/src/codegen/cast_expr_ir_builder.cc
+++ b/hybridse/src/codegen/cast_expr_ir_builder.cc
@@ -126,6 +126,11 @@ Status CastExprIRBuilder::UnSafeCast(const NativeValue& value,
             StringIRBuilder string_ir_builder(block_->getModule());
             CHECK_STATUS(string_ir_builder.CreateNull(block_, output));
             return base::Status::OK();
+
+        } else if (TypeIRBuilder::IsDatePtr(type)) {
+            DateIRBuilder date_ir(block_->getModule());
+            CHECK_STATUS(date_ir.CreateNull(block_, output));
+            return base::Status::OK();
         } else {
             *output = NativeValue::CreateNull(type);
         }
diff --git a/hybridse/src/codegen/date_ir_builder.cc b/hybridse/src/codegen/date_ir_builder.cc
index 65c439fd143..3a60147bd9a 100644
--- a/hybridse/src/codegen/date_ir_builder.cc
+++ b/hybridse/src/codegen/date_ir_builder.cc
@@ -19,6 +19,7 @@
 #include <vector>
 #include "codegen/arithmetic_expr_ir_builder.h"
 #include "codegen/ir_base_builder.h"
+#include "codegen/null_ir_builder.h"
 
 namespace hybridse {
 namespace codegen {
@@ -43,6 +44,15 @@ void DateIRBuilder::InitStructType() {
     struct_type_ = stype;
     return;
 }
+
+base::Status DateIRBuilder::CreateNull(::llvm::BasicBlock* block, NativeValue* output) {
+    ::llvm::Value* value = nullptr;
+    CHECK_TRUE(CreateDefault(block, &value), common::kCodegenError, "Fail to construct string")
+    ::llvm::IRBuilder<> builder(block);
+    *output = NativeValue::CreateWithFlag(value, builder.getInt1(true));
+    return base::Status::OK();
+}
+
 bool DateIRBuilder::CreateDefault(::llvm::BasicBlock* block,
                                   ::llvm::Value** output) {
     return NewDate(block, output);
@@ -123,11 +133,10 @@ base::Status DateIRBuilder::CastFrom(::llvm::BasicBlock* block,
         auto cast_func = m_->getOrInsertFunction(
             fn_name,
             ::llvm::FunctionType::get(builder.getVoidTy(),
-                                      {src.GetType(), dist->getType(),
-                                       builder.getInt1Ty()->getPointerTo()},
-                                      false));
-        builder.CreateCall(cast_func,
-                           {src.GetValue(&builder), dist, is_null_ptr});
+                                      {src.GetType(), dist->getType(), builder.getInt1Ty()->getPointerTo()}, false));
+
+        builder.CreateCall(cast_func, {src.GetValue(&builder), dist, is_null_ptr});
+
         ::llvm::Value* should_return_null = builder.CreateLoad(is_null_ptr);
         null_ir_builder.CheckAnyNull(block, src, &should_return_null);
         *output = NativeValue::CreateWithFlag(dist, should_return_null);
diff --git a/hybridse/src/codegen/date_ir_builder.h b/hybridse/src/codegen/date_ir_builder.h
index cb41dc5f263..b44b039d57d 100644
--- a/hybridse/src/codegen/date_ir_builder.h
+++ b/hybridse/src/codegen/date_ir_builder.h
@@ -16,13 +16,9 @@
 
 #ifndef HYBRIDSE_SRC_CODEGEN_DATE_IR_BUILDER_H_
 #define HYBRIDSE_SRC_CODEGEN_DATE_IR_BUILDER_H_
+
 #include "base/fe_status.h"
-#include "codegen/cast_expr_ir_builder.h"
-#include "codegen/null_ir_builder.h"
-#include "codegen/scope_var.h"
 #include "codegen/struct_ir_builder.h"
-#include "llvm/IR/IRBuilder.h"
-#include "proto/fe_type.pb.h"
 
 namespace hybridse {
 namespace codegen {
@@ -31,17 +27,17 @@ class DateIRBuilder : public StructTypeIRBuilder {
  public:
     explicit DateIRBuilder(::llvm::Module* m);
     ~DateIRBuilder();
-    void InitStructType();
-    bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output);
+    void InitStructType() override;
+
+    base::Status CreateNull(::llvm::BasicBlock* block, NativeValue* output);
+    bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output) override;
+
     bool NewDate(::llvm::BasicBlock* block, ::llvm::Value** output);
     bool NewDate(::llvm::BasicBlock* block, ::llvm::Value* date,
                  ::llvm::Value** output);
-    bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src,
-                  ::llvm::Value* dist);
-    base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src,
-                          NativeValue* output);
-    base::Status CastFrom(::llvm::BasicBlock* block, ::llvm::Value* src,
-                          ::llvm::Value** output);
+    bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value* dist);
+    base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src, NativeValue* output);
+
     bool GetDate(::llvm::BasicBlock* block, ::llvm::Value* date,
                  ::llvm::Value** output);
     bool SetDate(::llvm::BasicBlock* block, ::llvm::Value* date,
diff --git a/hybridse/src/codegen/ir_base_builder.h b/hybridse/src/codegen/ir_base_builder.h
index c52bba23431..db2075289cf 100644
--- a/hybridse/src/codegen/ir_base_builder.h
+++ b/hybridse/src/codegen/ir_base_builder.h
@@ -19,7 +19,6 @@
 
 #include <string>
 #include <vector>
-#include "glog/logging.h"
 #include "llvm/IR/IRBuilder.h"
 #include "node/sql_node.h"
 #include "node/type_node.h"
diff --git a/hybridse/src/codegen/native_value.cc b/hybridse/src/codegen/native_value.cc
index c4c6e2e562a..fce4f0bb5bb 100644
--- a/hybridse/src/codegen/native_value.cc
+++ b/hybridse/src/codegen/native_value.cc
@@ -17,7 +17,6 @@
 #include "codegen/native_value.h"
 #include <dlfcn.h>
 #include <execinfo.h>
-#include <signal.h>
 #include "codegen/context.h"
 #include "codegen/ir_base_builder.h"
 
diff --git a/hybridse/src/codegen/predicate_expr_ir_builder.cc b/hybridse/src/codegen/predicate_expr_ir_builder.cc
index aaf0fb0753c..45ed8f7ec21 100644
--- a/hybridse/src/codegen/predicate_expr_ir_builder.cc
+++ b/hybridse/src/codegen/predicate_expr_ir_builder.cc
@@ -17,6 +17,7 @@
 #include "codegen/predicate_expr_ir_builder.h"
 #include "codegen/date_ir_builder.h"
 #include "codegen/ir_base_builder.h"
+#include "codegen/null_ir_builder.h"
 #include "codegen/string_ir_builder.h"
 #include "codegen/timestamp_ir_builder.h"
 #include "codegen/type_ir_builder.h"
diff --git a/hybridse/src/codegen/struct_ir_builder.h b/hybridse/src/codegen/struct_ir_builder.h
index 2f1f94d036c..e306dfe869e 100644
--- a/hybridse/src/codegen/struct_ir_builder.h
+++ b/hybridse/src/codegen/struct_ir_builder.h
@@ -16,12 +16,10 @@
 
 #ifndef HYBRIDSE_SRC_CODEGEN_STRUCT_IR_BUILDER_H_
 #define HYBRIDSE_SRC_CODEGEN_STRUCT_IR_BUILDER_H_
+
 #include "base/fe_status.h"
-#include "codegen/cast_expr_ir_builder.h"
-#include "codegen/scope_var.h"
+#include "codegen/native_value.h"
 #include "codegen/type_ir_builder.h"
-#include "llvm/IR/IRBuilder.h"
-#include "proto/fe_type.pb.h"
 
 namespace hybridse {
 namespace codegen {
diff --git a/hybridse/src/codegen/timestamp_ir_builder.cc b/hybridse/src/codegen/timestamp_ir_builder.cc
index 13d6e065f39..f14952f455c 100644
--- a/hybridse/src/codegen/timestamp_ir_builder.cc
+++ b/hybridse/src/codegen/timestamp_ir_builder.cc
@@ -15,14 +15,15 @@
  */
 
 #include "codegen/timestamp_ir_builder.h"
+
 #include <string>
 #include <vector>
+
 #include "codegen/arithmetic_expr_ir_builder.h"
 #include "codegen/ir_base_builder.h"
 #include "codegen/null_ir_builder.h"
 #include "codegen/predicate_expr_ir_builder.h"
 #include "glog/logging.h"
-#include "node/sql_node.h"
 
 using hybridse::common::kCodegenError;
 
@@ -70,29 +71,30 @@ base::Status TimestampIRBuilder::CastFrom(::llvm::BasicBlock* block,
     CondSelectIRBuilder cond_ir_builder;
     PredicateIRBuilder predicate_ir_builder(block);
     NullIRBuilder null_ir_builder;
+
+    // always allocate for returned timestmap even it is null
+    ::llvm::Value* dist = nullptr;
+    if (!CreateDefault(block, &dist)) {
+        status.code = common::kCodegenError;
+        status.msg = "Fail to cast date: create default date fail";
+        return status;
+    }
+
     if (IsNumber(src.GetType())) {
         CHECK_STATUS(cast_builder.Cast(src, builder.getInt64Ty(), &ts));
         NativeValue cond;
         CHECK_STATUS(predicate_ir_builder.BuildGeExpr(
             ts, NativeValue::Create(builder.getInt64(0)), &cond));
-        ::llvm::Value* timestamp;
-        CHECK_TRUE(NewTimestamp(block, ts.GetValue(&builder), &timestamp),
+        CHECK_TRUE(SetTs(block, dist, ts.GetValue(&builder)),
                    kCodegenError,
                    "Fail to cast timestamp: new timestamp(ts) fail");
-        CHECK_STATUS(
-            cond_ir_builder.Select(block, cond, NativeValue::Create(timestamp),
-                                   NativeValue::CreateNull(GetType()), output));
+        CHECK_STATUS(cond_ir_builder.Select(block, cond, NativeValue::Create(dist),
+                                            NativeValue::CreateWithFlag(dist, builder.getInt1(true)), output));
 
     } else if (IsStringPtr(src.GetType()) || IsDatePtr(src.GetType())) {
         ::llvm::IRBuilder<> builder(block);
-        ::llvm::Value* dist = nullptr;
         ::llvm::Value* is_null_ptr = CreateAllocaAtHead(
             &builder, builder.getInt1Ty(), "timestamp_is_null_alloca");
-        if (!CreateDefault(block, &dist)) {
-            status.code = common::kCodegenError;
-            status.msg = "Fail to cast date: create default date fail";
-            return status;
-        }
         ::std::string fn_name = "timestamp." + TypeName(src.GetType());
 
         auto cast_func = m_->getOrInsertFunction(
diff --git a/hybridse/src/codegen/timestamp_ir_builder.h b/hybridse/src/codegen/timestamp_ir_builder.h
index 33de3cce2e5..84051979597 100644
--- a/hybridse/src/codegen/timestamp_ir_builder.h
+++ b/hybridse/src/codegen/timestamp_ir_builder.h
@@ -16,12 +16,9 @@
 
 #ifndef HYBRIDSE_SRC_CODEGEN_TIMESTAMP_IR_BUILDER_H_
 #define HYBRIDSE_SRC_CODEGEN_TIMESTAMP_IR_BUILDER_H_
+
 #include "base/fe_status.h"
-#include "codegen/cast_expr_ir_builder.h"
-#include "codegen/scope_var.h"
 #include "codegen/struct_ir_builder.h"
-#include "llvm/IR/IRBuilder.h"
-#include "proto/fe_type.pb.h"
 
 namespace hybridse {
 namespace codegen {
@@ -33,8 +30,8 @@ class TimestampIRBuilder : public StructTypeIRBuilder {
     void InitStructType();
     bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output);
     bool NewTimestamp(::llvm::BasicBlock* block, ::llvm::Value** output);
-    bool NewTimestamp(::llvm::BasicBlock* block, ::llvm::Value* ts,
-                      ::llvm::Value** output);
+    bool NewTimestamp(::llvm::BasicBlock* block, ::llvm::Value* ts, ::llvm::Value** output);
+
     bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src,
                   ::llvm::Value* dist);
     base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src,
diff --git a/hybridse/src/codegen/type_ir_builder.cc b/hybridse/src/codegen/type_ir_builder.cc
index 3fcd5891c4c..bbdf1346995 100644
--- a/hybridse/src/codegen/type_ir_builder.cc
+++ b/hybridse/src/codegen/type_ir_builder.cc
@@ -15,6 +15,7 @@
  */
 
 #include "codegen/type_ir_builder.h"
+
 #include "codegen/ir_base_builder.h"
 #include "glog/logging.h"
 #include "node/node_manager.h"
diff --git a/hybridse/src/codegen/type_ir_builder.h b/hybridse/src/codegen/type_ir_builder.h
index e06e77244e6..ad7d5f225b9 100644
--- a/hybridse/src/codegen/type_ir_builder.h
+++ b/hybridse/src/codegen/type_ir_builder.h
@@ -18,11 +18,10 @@
 #define HYBRIDSE_SRC_CODEGEN_TYPE_IR_BUILDER_H_
 
 #include <string>
-#include <vector>
+
 #include "base/fe_status.h"
-#include "codec/fe_row_codec.h"
-#include "codegen/ir_base_builder.h"
-#include "node/node_enum.h"
+#include "llvm/IR/Module.h"
+#include "llvm/IR/Type.h"
 #include "node/sql_node.h"
 #include "node/type_node.h"
 
diff --git a/hybridse/src/codegen/udf_ir_builder.cc b/hybridse/src/codegen/udf_ir_builder.cc
index 6d6f967a83e..5030f3cd8ae 100644
--- a/hybridse/src/codegen/udf_ir_builder.cc
+++ b/hybridse/src/codegen/udf_ir_builder.cc
@@ -15,19 +15,17 @@
  */
 
 #include "codegen/udf_ir_builder.h"
-#include <iostream>
-#include <utility>
+
 #include <vector>
+
 #include "codegen/context.h"
-#include "codegen/date_ir_builder.h"
 #include "codegen/fn_ir_builder.h"
+#include "codegen/ir_base_builder.h"
 #include "codegen/list_ir_builder.h"
 #include "codegen/null_ir_builder.h"
-#include "codegen/timestamp_ir_builder.h"
+#include "codegen/type_ir_builder.h"
 #include "llvm/IR/Attributes.h"
-#include "node/node_manager.h"
 #include "node/sql_node.h"
-#include "udf/udf.h"
 #include "udf/udf_registry.h"
 
 using ::hybridse::common::kCodegenError;
@@ -162,7 +160,7 @@ Status UdfIRBuilder::BuildLambdaCall(
 Status UdfIRBuilder::BuildCodeGenUdfCall(
     const node::UdfByCodeGenDefNode* fn,
     const std::vector<NativeValue>& args, NativeValue* output) {
-    auto gen_impl = fn->GetGenImpl();
+    std::shared_ptr<udf::LlvmUdfGenBase> gen_impl = fn->GetGenImpl();
 
     ::llvm::Value* ret_null = nullptr;
     for (size_t i = 0; i < fn->GetArgSize(); ++i) {
diff --git a/hybridse/src/codegen/udf_ir_builder.h b/hybridse/src/codegen/udf_ir_builder.h
index ed15b6432c7..9e33837bf96 100644
--- a/hybridse/src/codegen/udf_ir_builder.h
+++ b/hybridse/src/codegen/udf_ir_builder.h
@@ -17,13 +17,9 @@
 #ifndef HYBRIDSE_SRC_CODEGEN_UDF_IR_BUILDER_H_
 #define HYBRIDSE_SRC_CODEGEN_UDF_IR_BUILDER_H_
 
-#include <map>
-#include <string>
 #include <vector>
 #include "base/fe_status.h"
 #include "codegen/expr_ir_builder.h"
-#include "codegen/scope_var.h"
-#include "llvm/IR/Module.h"
 
 #include "node/sql_node.h"
 namespace hybridse {
diff --git a/hybridse/src/udf/default_udf_library.cc b/hybridse/src/udf/default_udf_library.cc
index 8b98212fffb..fef776d3ffd 100644
--- a/hybridse/src/udf/default_udf_library.cc
+++ b/hybridse/src/udf/default_udf_library.cc
@@ -26,7 +26,6 @@
 #include <queue>
 #include <functional>
 
-#include "absl/strings/str_cat.h"
 #include "codegen/date_ir_builder.h"
 #include "codegen/string_ir_builder.h"
 #include "codegen/timestamp_ir_builder.h"
@@ -2169,11 +2168,7 @@ void DefaultUdfLibrary::InitTypeUdf() {
         )");
 
     RegisterExternal("date")
-        .args<Timestamp>(reinterpret_cast<void*>(
-            static_cast<void (*)(Timestamp*, Date*, bool*)>(
-                v1::timestamp_to_date)))
-        .return_by_arg(true)
-        .returns<Nullable<Date>>()
+        .args<Timestamp>(v1::timestamp_to_date)
         .doc(R"(
             @brief Cast timestamp or string expression to date (date >= 1900-01-01)
 
@@ -2192,11 +2187,7 @@ void DefaultUdfLibrary::InitTypeUdf() {
             @endcode
             @since 0.1.0)");
     RegisterExternal("date")
-        .args<StringRef>(reinterpret_cast<void*>(
-            static_cast<void (*)(StringRef*, Date*, bool*)>(
-                v1::string_to_date)))
-        .return_by_arg(true)
-        .returns<Nullable<Date>>();
+        .args<StringRef>(v1::string_to_date);
 
     RegisterExternal("timestamp")
         .args<Date>(reinterpret_cast<void*>(
diff --git a/hybridse/src/udf/udf.cc b/hybridse/src/udf/udf.cc
index 2ec7033472f..9326d576685 100644
--- a/hybridse/src/udf/udf.cc
+++ b/hybridse/src/udf/udf.cc
@@ -20,8 +20,6 @@
 #include <time.h>
 
 #include <ctime>
-#include <map>
-#include <set>
 #include <utility>
 
 #include "absl/strings/ascii.h"
@@ -29,20 +27,17 @@
 #include "absl/time/civil_time.h"
 #include "absl/time/time.h"
 #include "base/iterator.h"
-#include "boost/date_time.hpp"
+#include "boost/date_time/gregorian/conversion.hpp"
 #include "boost/date_time/gregorian/parsers.hpp"
-#include "boost/date_time/posix_time/posix_time.hpp"
 #include "bthread/types.h"
-#include "codec/list_iterator_codec.h"
 #include "codec/row.h"
 #include "codec/type_codec.h"
-#include "codegen/fn_ir_builder.h"
 #include "farmhash.h"
 #include "node/node_manager.h"
 #include "node/sql_node.h"
 #include "re2/re2.h"
-#include "udf/default_udf_library.h"
 #include "udf/literal_traits.h"
+#include "udf/udf_library.h"
 #include "vm/jit_runtime.h"
 
 namespace hybridse {
@@ -394,8 +389,7 @@ void bool_to_string(bool v, StringRef *output) {
     }
 }
 
-void timestamp_to_date(Timestamp *timestamp,
-                       Date *output, bool *is_null) {
+void timestamp_to_date(Timestamp *timestamp, Date *output, bool *is_null) {
     time_t time = (timestamp->ts_ + TZ_OFFSET) / 1000;
     struct tm t;
     memset(&t, 0, sizeof(struct tm));
@@ -771,8 +765,7 @@ void string_to_double(StringRef *str, double *out, bool *is_null_ptr) {
     }
     return;
 }
-void string_to_date(StringRef *str, Date *output,
-                    bool *is_null) {
+void string_to_date(StringRef *str, Date *output, bool *is_null) {
     if (19 == str->size_) {
         struct tm timeinfo;
         memset(&timeinfo, 0, sizeof(struct tm));
diff --git a/hybridse/src/udf/udf.h b/hybridse/src/udf/udf.h
index a761e99f88b..c91b78d1c90 100644
--- a/hybridse/src/udf/udf.h
+++ b/hybridse/src/udf/udf.h
@@ -26,10 +26,6 @@
 #include "absl/strings/ascii.h"
 #include "base/string_ref.h"
 #include "base/type.h"
-#include "codec/list_iterator_codec.h"
-#include "codec/type_codec.h"
-#include "node/node_manager.h"
-#include "proto/fe_type.pb.h"
 #include "udf/literal_traits.h"
 #include "udf/openmldb_udf.h"
 

From d2467ea45abcffa109745e7a704143dc838764fd Mon Sep 17 00:00:00 2001
From: TanZiYen <104113819+TanZiYen@users.noreply.github.com>
Date: Thu, 26 Oct 2023 14:27:31 +0800
Subject: [PATCH 05/27] docs: remove the export tool doc from the maintain
 folder (en)

---
 docs/en/maintain/data_export.md | 58 ---------------------------------
 1 file changed, 58 deletions(-)
 delete mode 100644 docs/en/maintain/data_export.md

diff --git a/docs/en/maintain/data_export.md b/docs/en/maintain/data_export.md
deleted file mode 100644
index 0916a8bc553..00000000000
--- a/docs/en/maintain/data_export.md
+++ /dev/null
@@ -1,58 +0,0 @@
-# Data Export Tool
-
-Data Export Tool locates in [src/tools](https://github.com/4paradigm/OpenMLDB/tree/main/src/tools)。It supports exporting data from remote machines in standalone mode or cluster mode.
-
-## 1. Build
-
-Generate the Unix Executable file：`make` under src folder.
-
-## 2. Data Export Usage
-
-### 2.1 Command Line Arguments
-
-All configurations are showed as follows, * indicates required configurations.
-
-```
-Usage: ./data_exporter [--delimiter=<delimiter>] --db_name=<dbName> 
-                     [--user_name=<userName>] --table_name=<tableName>
-                     --config_path=<configPath>
-      
-*     --db_name=<dbName>          openmldb database name
-*     --table_name=<tableName>    openmldb table name of the selected database
-*     --config_path=<configPath>  absolute or relative path of the config file
-      --delimiter=<delimiter>     delimiter for the output csv, default is ','
-      --user_name=<userName>      user name of the remote machine
-```
-
-### 2.2 Important Configurations Instructions
-
-Descriptions of the important configurations:
-
-- `--db_name=<dbName>`: OpenMLDB database name. The database must exist, otherwise would return an error message: database not found.
-- `--table_name=<tableName>`: table name. The table must exist in the selected database, otherwise would return an error message: table not found.
-- `--config_path=<configPath]`: configuration file of the distrubution of OpenMLDB. The format of this file is yaml.
-
-### 2.3 Example of the Config File:
-
-     mode: cluster
-     zookeeper:
-         zk_cluster: 172.17.0.2:2181
-         zk_root_path: /openmldb
-     nameserver:
-     - 
-         endpoint: 172.17.0.2:6527
-         path: /work/ns1
-     - 
-         endpoint: 172.17.0.2:6528
-         path: /work/ns2
-     tablet:
-     - 
-         endpoint: 172.17.0.2:10921
-         path: /work/openmldb
-     - 
-         endpoint: 172.17.0.2:10922
-         path: /work/openmldb
-
-## 3. Error Handling
-
-If data export fails, Glog would print possible causes of the errors.

From 19a8c9af5c15c6be18c4a87411a91a871bc53eb4 Mon Sep 17 00:00:00 2001
From: TanZiYen <104113819+TanZiYen@users.noreply.github.com>
Date: Thu, 26 Oct 2023 14:39:45 +0800
Subject: [PATCH 06/27] docs: update the figure of feature extraction example
 (en) (#3487)

---
 .../concepts/images/modes-request.png          | Bin 0 -> 238845 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 docs/en/quickstart/concepts/images/modes-request.png

diff --git a/docs/en/quickstart/concepts/images/modes-request.png b/docs/en/quickstart/concepts/images/modes-request.png
new file mode 100644
index 0000000000000000000000000000000000000000..f7dd94e57598a472a1de80572e48503f137a5e94
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HcmV?d00001


From bba4e51422b7412d4b691f2fc2e89048d6479216 Mon Sep 17 00:00:00 2001
From: TanZiYen <104113819+TanZiYen@users.noreply.github.com>
Date: Thu, 26 Oct 2023 14:50:09 +0800
Subject: [PATCH 07/27] docs: update the quickstart and sdk folder (#3537)

* Docs: Update-quickstart-sdk-folder

* Docs: update-quickstart-sdk-index-file

* Update compile.md

Update referred document to the latest

* Update cxx_sdk.md with recent updates

* Update go_sdk.md

* Update rest_api.md

* Update java_sdk.md to most recent upate

* Update python_sdk.md to most recent updates

* Update python_sdk.md image reference link

---------

Co-authored-by: Siqi Wang <sqwang9999@gmail.com>
---
 docs/en/deploy/compile.md            | 105 ++++++++----
 docs/en/quickstart/sdk/cpp_sdk.md    | 117 --------------
 docs/en/quickstart/sdk/cxx_sdk.md    | 138 ++++++++++++++++
 docs/en/quickstart/sdk/go_sdk.md     |  12 +-
 docs/en/quickstart/sdk/index.rst     |   4 +-
 docs/en/quickstart/sdk/java_sdk.md   | 234 +++++++++++++++++++++------
 docs/en/quickstart/sdk/python_sdk.md |  91 ++++++-----
 docs/en/quickstart/sdk/rest_api.md   |  31 ++--
 8 files changed, 476 insertions(+), 256 deletions(-)
 delete mode 100644 docs/en/quickstart/sdk/cpp_sdk.md
 create mode 100644 docs/en/quickstart/sdk/cxx_sdk.md

diff --git a/docs/en/deploy/compile.md b/docs/en/deploy/compile.md
index a20c921b4ac..3fdd9826726 100644
--- a/docs/en/deploy/compile.md
+++ b/docs/en/deploy/compile.md
@@ -1,11 +1,9 @@
-# Build
+# Compilation from Source Code
 
-## 1. Quick Start
+## Compile and Use in Docker Container
 
-[quick-start]: quick-start
-
-This section describes the steps to compile and use OpenMLDB inside its official docker image [hybridsql](https://hub.docker.com/r/4pdosc/hybridsql).
-The docker image has packed required tools and dependencies, so there is no need to set them up separately. To compile without the official docker image, refer to the section [Detailed Instructions for Build](#detailed-instructions-for-build) below.
+This section describes the steps to compile and use OpenMLDB inside its official docker image [hybridsql](https://hub.docker.com/r/4pdosc/hybridsql), mainly for quick start and development purposes in the docker container.
+The docker image has packed the required tools and dependencies, so there is no need to set them up separately. To compile without the official docker image, refer to the section [Detailed Instructions for Build](#detailed-instructions-for-build) below.
 
 Keep in mind that you should always use the same version of both compile image and [OpenMLDB version](https://github.com/4paradigm/OpenMLDB/releases). This section demonstrates compiling for [OpenMLDB v0.8.3](https://github.com/4paradigm/OpenMLDB/releases/tag/v0.8.3) under `hybridsql:0.8.3` ，If you prefer to compile on the latest code in `main` branch, pull `hybridsql:latest` image instead.
 
@@ -15,13 +13,13 @@ Keep in mind that you should always use the same version of both compile image a
     docker pull 4pdosc/hybridsql:0.8
    ```
 
-2. Create a docker container with the hybridsql docker image
+2. Create a docker container
 
    ```bash
    docker run -it 4pdosc/hybridsql:0.8 bash
    ```
 
-3. Download the OpenMLDB source code inside the docker container, and setting the branch into v0.8.3
+3. Download the OpenMLDB source code inside the docker container, and set the branch into v0.8.3
 
    ```bash
    cd ~
@@ -41,52 +39,49 @@ Keep in mind that you should always use the same version of both compile image a
    make install
    ```
 
-Now you've finished the compilation job, and you may try run OpenMLDB inside the docker container.
+Now you've finished the compilation job, you may try running OpenMLDB inside the docker container.
 
-## 2. Detailed Instructions for Build
+## Detailed Instructions for Build
 
-[build]: build
+This chapter discusses compiling source code without relying on pre-built container environments.
 
-### 2.1. Hardware Requirements
+### Hardware Requirements
 
 - **Memory**: 8GB+ recommended.
 - **Disk Space**: >=25GB of free disk space for full compilation.
 - **Operating System**: CentOS 7, Ubuntu 20.04 or macOS >= 10.15, other systems are not carefully tested but issue/PR welcome
+- **CPU Architecture**: Currently, only x86 architecture is supported, and other architectures like ARM are not supported at the moment (please note that running x86 images on heterogeneous systems like M1 Mac is also not supported at this time).
 
-Note: By default, the parallel build is disabled, and it usually takes an hour to finish all the compile jobs. You can enable the parallel build by tweaking the `NPROC` option if your machine's resource is enough. This will reduce the compile time but also consume more memory. For example, the following command set the number of concurrent build jobs to 4:
+💡 Note: By default, the parallel build is disabled, and it usually takes an hour to finish all the compile jobs. You can enable the parallel build by tweaking the `NPROC` option if your machine's resource is enough. This will reduce the compile time but also consume more memory. For example, the following command sets the number of concurrent build jobs to 4:
 
 ```bash
 make NPROC=4
 ```
 
-### 2.2. Prerequisites
-
-Make sure those tools are installed
-
+### Dependencies
 - gcc >= 8 or AppleClang >= 12.0.0
-- cmake 3.20 or later ( < cmake 3.24 is better)
+- cmake 3.20 or later ( recommended < cmake 3.24)
 - jdk 8
 - python3, python setuptools, python wheel
 - If you'd like to compile thirdparty from source, checkout the [third-party's requirement](../../third-party/README.md) for extra dependencies
 
-### 2.3. Build and Install OpenMLDB
+### Build and Install OpenMLDB
 
 Building OpenMLDB requires certain thirdparty dependencies. Hence a Makefile is provided as a convenience to setup thirdparty dependencies automatically and run CMake project in a single command `make`. The `make` command offers three methods to compile, each manages thirdparty differently:
 
-- **Method One: Build and Run Inside Docker:** Using [hybridsql](https://hub.docker.com/r/4pdosc/hybridsql) docker image, the thirdparty is already bundled inside the image and no extra steps are required, refer to above section [Quick Start](#quick-start)
-- **Method Two: Download Pre-Compiled Thirdparty:**  Command is `make && make install`. It downloads necessary prebuild libraries from [hybridsql-assert](https://github.com/4paradigm/hybridsql-asserts/releases) and [zetasql](https://github.com/4paradigm/zetasql/releases).  Currently it supports CentOS 7, Ubuntu 20.04 and macOS.
-- **Method Three: Compile Thirdparty from Source:** This is the suggested way if the host system is not in the supported list for pre-compiled thirdparty (CentOS 7, Ubuntu 20.04 and macOS). Note that when compiling thirdparty for the first time requires extra time to finish, approximately 1 hour on a 2 core & 7 GB machine. To compile thirdparty from source, please pass `BUILD_BUNDLED=ON` to `make`:
+- **Method One: Download Pre-Compiled Thirdparty:**  Command is `make && make install`. It downloads necessary prebuild libraries from [hybridsql-assert](https://github.com/4paradigm/hybridsql-asserts/releases) and [zetasql](https://github.com/4paradigm/zetasql/releases).  Currently it supports CentOS 7, Ubuntu 20.04 and macOS.
+- **Method Two: Compile Thirdparty from Source:** This is the suggested way if the host system is not in the supported list for pre-compiled thirdparty (CentOS 7, Ubuntu 20.04 and macOS). Note that when compiling thirdparty for the first time requires extra time to finish, approximately 1 hour on a 2 core & 8 GB machine. To compile thirdparty from source, please pass `BUILD_BUNDLED=ON` to `make`:
   
    ```bash
    make BUILD_BUNDLED=ON
    make install
    ```
 
-All of the three methods above will install OpenMLDB binaries into `${PROJECT_ROOT}/openmldb` by default, you may tweak the installation directory with the option `CMAKE_INSTALL_PREFIX` (refer the following section [Extra options for `make`](#24-extra-options-for-make)).
+All of the three methods above will install OpenMLDB binaries into `${PROJECT_ROOT}/openmldb` by default, you may tweak the installation directory with the option `CMAKE_INSTALL_PREFIX` (refer to the following section [Extra Parameters for `make`](#extra-parameters-for-make) ).
 
-### 2.4. Extra Options for `make`
+### Extra Parameters for `make`
 
-You can customize the `make` behavior by passing following arguments, e.g., changing the build mode to `Debug` instead of `Release`:
+You can customize the `make` behavior by passing the following arguments, e.g., changing the build mode to `Debug` instead of `Release`:
 
 ```bash
 make CMAKE_BUILD_TYPE=Debug
@@ -132,10 +127,14 @@ make CMAKE_BUILD_TYPE=Debug
 
   Default: ON
 
-- OPENMLDB_BUILD_TARGET: If you only want to build some targets, not all, e.g. only build a test `ddl_parser_test`, you can set it to `ddl_parser_test`. Multiple targets may be given, separated by spaces. It can reduce the build time, reduce the build output, save the storage space.
+- OPENMLDB_BUILD_TARGET: If you only want to build some targets, not all, e.g. only build a test `ddl_parser_test`, you can set it to `ddl_parser_test`. Multiple targets may be given, separated by spaces. It can reduce build time, reduce build output, and save storage space.
 
   Default: all
 
+- THIRD_PARTY_CMAKE_FLAGS: You can use this to configure additional parameters when compiling third-party dependencies. For instance, to specify concurrent compilation for each third-party project, you can set` THIRD_PARTY_CMAKE_FLAGS` to `-DMAKEOPTS=-j8`. Please note that NPROC does not affect third-party compilation; multiple third-party projects will be executed sequentially.
+  
+  Default: ''
+
 ### Build Java SDK with Multi Processes
 
 ```
@@ -144,7 +143,7 @@ make SQL_JAVASDK_ENABLE=ON NPROC=4
 
 The built jar packages are in the `target` path of each submodule. If you want to use the jar packages built by yourself, please DO NOT add them by systemPath(may get `ClassNotFoundException` about Protobuf and so on, requires a little work in compile and runtime phase). The better way is, use `mvn install -DskipTests=true -Dscalatest.skip=true -Dwagon.skip=true -Dmaven.test.skip=true -Dgpg.skip` to install them in local m2 repository, your project will use them.
 
-## 3. Optimized Spark Distribution for OpenMLDB
+## Optimized Spark Distribution for OpenMLDB
 
 [OpenMLDB Spark Distribution](https://github.com/4paradigm/spark) is the fork of [Apache Spark](https://github.com/apache/spark). It adopts specific optimization techniques for OpenMLDB. It provides native `LastJoin` implementation and achieves 10x~100x performance improvement compared with the original Spark distribution. The Java/Scala/Python/SQL APIs of the OpenMLDB Spark distribution are fully compatible with the standard Spark distribution.
 
@@ -171,3 +170,55 @@ export SPARK_HOME=`pwd`
 ```
 
 3. Now you are all set to run OpenMLDB by enjoying the performance speedup from this optimized Spark distribution.
+
+
+## Build for Other OS
+As previously mentioned, if you want to run OpenMLDB or the SDK on a different OS, you will need to compile from the source code. We provide quick compilation solutions for several operating systems. For other OS, you'll need to perform source code compilation on your own.
+
+### Centos 6 or other glibc Linux OS
+#### Local Compilation
+To compile a version compatible with CentOS 6, you can use Docker and the `steps/centos6_build.sh` script. As shown below, we use the current directory as the mount directory and place the compilation output locally.
+
+```bash
+git clone https://github.com/4paradigm/OpenMLDB.git
+cd OpenMLDB
+docker run -it -v`pwd`:/root/OpenMLDB ghcr.io/4paradigm/centos6_gcc7_hybridsql bash
+```
+Execute the compilation script within the container, and the output will be in the "build" directory. If there are failures while downloading `bazel` or `icu4c` during compilation, you can use the image sources provided by OpenMLDB by configuring the environment variable `OPENMLDB_SOURCE=true`. Various environment variables that can be used with "make" will also work, as shown below.
+
+```bash
+cd OpenMLDB
+bash steps/centos6_build.sh
+# THIRD_PARTY_CMAKE_FLAGS=-DMAKEOPTS=-j8 bash steps/centos6_build.sh # run fast when build single project
+# OPENMLDB_SOURCE=true bash steps/centos6_build.sh
+# SQL_JAVASDK_ENABLE=ON SQL_PYSDK_ENABLE=ON NPROC=8 bash steps/centos6_build.sh # NPROC will build openmldb in parallel, thirdparty should use THIRD_PARTY_CMAKE_FLAGS
+```
+
+For a local compilation with a 2.20GHz CPU, SSD hard drive, and 32 threads to build both third-party libraries and the OpenMLDB core, the approximate timeframes are as follows:
+`THIRD_PARTY_CMAKE_FLAGS=-DMAKEOPTS=-j32 SQL_JAVASDK_ENABLE=ON SQL_PYSDK_ENABLE=ON NPROC=32 bash steps/centos6_build.sh`
+- third-party (excluding source code download time): Approximately 40 minutes:
+  - Zetasql patch: 13 minutes
+  - Compilation of all third-party dependencies: 30 minutes
+- OpenMLDB core, including Python and Java native components: Approximately 12 minutes
+
+Please note that these times can vary depending on your specific hardware and system performance. The provided compilation commands and environment variables are optimized for multi-threaded compilation, which can significantly reduce build times.
+
+#### Cloud Compilation
+
+After forking the OpenMLDB repository, you can trigger the `Other OS Build` workflow in `Actions`, and the output will be available in the `Actions` `Artifacts`. Here's how to configure the workflow:
+
+- Do not change the `Use workflow from` setting to a specific tag; it can be another branch.
+- Choose the desired `OS name`, which in this case is `centos6`.
+- If you are not compiling the main branch, provide the name of the branch, tag (e.g., v0.8.2), or SHA you want to compile in the `The branch, tag, or SHA to checkout, otherwise use the branch` field.
+- The compilation output will be accessible in "runs", as shown in an example [here](https://github.com/4paradigm/OpenMLDB/actions/runs/6044951902).
+  - The workflow will definitely produce the OpenMLDB binary file.
+  - If you don't need the Java or Python SDK, you can configure `java sdk enable` or `python sdk enable` to be "OFF" to save compilation time.
+
+Please note that this compilation process involves building third-party dependencies from source code, and it may take a while to complete due to limited resources. The approximate time for this process is around 3 hours and 5 minutes (2 hours for third-party dependencies and 1 hour for OpenMLDB). However, the workflow caches the compilation output for third-party dependencies, so the second compilation will be much faster, taking approximately 1 hour and 15 minutes for OpenMLDB.
+
+### Macos 10.15, 11
+
+MacOS doesn't require compiling third-party dependencies from source code, so compilation is relatively faster, taking about 1 hour and 15 minutes. Local compilation is similar to the steps outlined in the [Detailed Instructions for Build](#detailed-instructions-for-build) and does not require compiling third-party dependencies (`BUILD_BUNDLED=OFF`). For cloud compilation on macOS, trigger the `Other OS Build` workflow in `Actions` with the specified macOS version (`os name` as `macos10` or `macos11`). You can also disable Java or Python SDK compilation if they are not needed, by setting `java sdk enable` or `python sdk enable` to `OFF`.
+
+
+
diff --git a/docs/en/quickstart/sdk/cpp_sdk.md b/docs/en/quickstart/sdk/cpp_sdk.md
deleted file mode 100644
index 59f4a284a63..00000000000
--- a/docs/en/quickstart/sdk/cpp_sdk.md
+++ /dev/null
@@ -1,117 +0,0 @@
-# C++ SDK
-
-## C++SDK package compilation and installation
-
-```plain
-git clone git@github.com:4paradigm/OpenMLDB.git
-cd OpenMLDB
-make && make install
-```
-
-## Write user code
-
-The following code demonstrates the basic use of C++ SDK. openmldb_api.h and sdk/result_set.h is the header file that must be included.
-
-```c++
-#include <ctime>
-#include <iostream>
-#include <string>
-
-#include "openmldb_api.h"
-#include "sdk/result_set.h"
-
-int main()
-{
-      //Create and initialize the OpenmldbHandler object
-    //Stand-alone version: parameter (ip, port), such as: OpenmldbHandler handler ("127.0.0.1", 6527);
-    //Cluster version: parameters (ip: port, path), such as: OpenmldbHandler handler ("127.0.0.1:6527", "/openmldb");
-    //Take the stand-alone version as an example.
-      OpenmldbHandler handler("127.0.0.1", 6527);
-
-      // Define database name
-      std::time_t t = std::time(0);
-      std::string db = "test_db" + std::to_string(t);
-
-      // Create SQL statement and database
-      std::string sql = "create database " + db + ";";
-      // Execute the SQL statement. The execute() function returns the bool value. A value of true indicates correct execution
-      std::cout << execute(handler, sql);
-
-      // Create SQL statement and use database
-      sql = "use " + db + ";";
-      std::cout << execute(handler, sql);
-
-      // Create SQL statement and create table
-      sql = "create table test_table ("
-            "col1 string, col2 bigint,"
-            "index(key=col1, ts=col2));";
-      std::cout << execute(handler, sql);
-
-      // Create SQL statements and insert rows into the table
-      sql = "insert test_table values(\"hello\", 1)";
-      std::cout << execute(handler, sql);
-      sql = "insert test_table values(\"Hi~\", 2)";
-      std::cout << execute(handler, sql);
-
-      // Basic mode
-      sql = "select * from test_table;";
-      std::cout << execute(handler, sql);
-      
-      // Get the latest SQL execution result
-      auto res = get_resultset();
-      // Output SQL execution results
-      print_resultset(res);
-      // The output in this example should be：
-      //      +-------+--------+
-      //      | col1  | col2 |
-      //      +-------+--------+
-      //      | hello | 1     |
-      //      | Hi~   | 2     |
-      //     +-------+---------+
-
-
-
-      // Band-parameter mode
-    //The position of the parameters to be filled in the SQL statement is set to "?" to express
-      sql = "select * from test_table where col1 = ? ;";
-      // Create a ParameterRow object for filling parameters
-      ParameterRow para(&handler);
-      // Fill in parameters
-      para << "Hi~";
-      // Execute SQL statement execute_parameterized() function returns the bool value. A value of true indicates correct execution
-      execute_parameterized(handler, db, sql, para);
-      res = get_resultset();
-      print_resultset(res);
-      // The output in this example should be：
-      //      +------+--------+
-      //      | col1 | col2 |
-      //      +------+-------+
-      //      | Hi~  | 2      |
-      //      +------+--------+
-
-
-      // Request mode
-      sql = "select col1, sum(col2) over w as w_col2_sum from test_table "
-            "window w as (partition by test_table.col1 order by test_table.col2 "
-            "rows between 2 preceding and current row);";
-      RequestRow req(&handler, db, sql);
-      req << "Hi~" << 3l;
-      execute_request(req);
-      res = get_resultset();
-      print_resultset(res);
-      // The output in this example should be：
-      //      +------+--------------------+
-      //      | col1 | w_col2_sum |
-      //      +------+--------------------+
-      //      | Hi~  | 5                 |
-      //      +------+--------------------+
-}
-```
-
-## Compile and run
-
-```plain
-gcc <user_code>.cxx -o <bin_name> -lstdc++ -std=c++17 -I<install_path>/include  -L<install_path>/lib -lopenmldbsdk -lpthread
-./<bin_name>
-```
-
diff --git a/docs/en/quickstart/sdk/cxx_sdk.md b/docs/en/quickstart/sdk/cxx_sdk.md
new file mode 100644
index 00000000000..77041df9b52
--- /dev/null
+++ b/docs/en/quickstart/sdk/cxx_sdk.md
@@ -0,0 +1,138 @@
+# [Alpha] C++ SDK
+```plain
+The current functionality support of the C++ SDK is not yet complete. It is currently only recommended for development, testing, or specific use cases. It is not recommended for use in a production environment. For production use, we recommend using the Java SDK, which has the most comprehensive feature coverage and has undergone extensive testing for both functionality and performance.
+```
+## C++ SDK Compilation and Installation
+```plain
+The C++ SDK static library is only supported on Linux systems and is not included in the standard release. If you need to use the C++ SDK library, you should compile the source code and enable the compilation option `INSTALL_CXXSDK=ON`.
+```
+To compile, you need to meet the [hardware requirements](../../deploy/compile.md#hardware-requirements) and install the necessary [dependencies](../../deploy/compile.md#dependencies).
+```plain
+git clone git@github.com:4paradigm/OpenMLDB.git
+cd OpenMLDB
+make INSTALL_CXXSDK=ON && make install
+```
+
+## User Code 
+
+The following code demonstrates the basic use of C++ SDK. `openmldb_api.h` and `sdk/result_set.h` is the header file that must be included.
+
+```c++
+#include <ctime>
+#include <iostream>
+#include <string>
+
+#include "openmldb_api.h"
+#include "sdk/result_set.h"
+
+int main()
+{
+      //Create and initialize the OpenmldbHandler object
+      //Stand-alone version: parameter (ip, port), such as: OpenmldbHandler handler ("127.0.0.1", 6527);
+      //Cluster version: parameters (ip: port, path), such as: OpenmldbHandler handler ("127.0.0.1:6527", "/openmldb");
+      //Take the stand-alone version as an example.
+      OpenmldbHandler handler("127.0.0.1", 6527);
+
+      // Define database name
+      std::time_t t = std::time(0);
+      std::string db = "test_db" + std::to_string(t);
+
+      // Create SQL statement and database
+      std::string sql = "create database " + db + ";";
+      // Execute the SQL statement. The execute() function returns bool. true indicates correct execution
+      std::cout << execute(handler, sql);
+
+      // Create SQL statement to use database
+      sql = "use " + db + ";";
+      std::cout << execute(handler, sql);
+
+      // Create SQL statement to create table
+      sql = "create table test_table ("
+            "col1 string, col2 bigint,"
+            "index(key=col1, ts=col2));";
+      std::cout << execute(handler, sql);
+
+      // Create SQL statements to insert rows into the table
+      sql = "insert test_table values(\"hello\", 1)";
+      std::cout << execute(handler, sql);
+      sql = "insert test_table values(\"Hi~\", 2)";
+      std::cout << execute(handler, sql);
+
+      // Basic mode
+      sql = "select * from test_table;";
+      std::cout << execute(handler, sql);
+      
+      // Get the latest SQL execution result
+      auto res = get_resultset();
+      // Output SQL execution results
+      print_resultset(res);
+      // The output in this example should be：
+      //      +-------+--------+
+      //      | col1  | col2 |
+      //      +-------+--------+
+      //      | hello | 1     |
+      //      | Hi~   | 2     |
+      //     +-------+---------+
+
+
+
+      // Parameter mode
+      //The parameters to be filled in the SQL statement is marked as "?"
+      sql = "select * from test_table where col1 = ? ;";
+      // Create a ParameterRow object for filling parameters
+      ParameterRow para(&handler);
+      // Fill in parameters
+      para << "Hi~";
+      // Execute SQL statement, execute_parameterized() function returns bool. true indicates correct execution
+      execute_parameterized(handler, db, sql, para);
+      res = get_resultset();
+      print_resultset(res);
+      // The output in this example should be：
+      //      +------+--------+
+      //      | col1 | col2 |
+      //      +------+-------+
+      //      | Hi~  | 2      |
+      //      +------+--------+
+
+
+      // Request mode
+      sql = "select col1, sum(col2) over w as w_col2_sum from test_table "
+            "window w as (partition by test_table.col1 order by test_table.col2 "
+            "rows between 2 preceding and current row);";
+      RequestRow req(&handler, db, sql);
+      req << "Hi~" << 3l;
+      execute_request(req);
+      res = get_resultset();
+      print_resultset(res);
+      // The output in this example should be：
+      //      +------+--------------------+
+      //      | col1 | w_col2_sum |
+      //      +------+--------------------+
+      //      | Hi~  | 5                 |
+      //      +------+--------------------+
+}
+```
+## Multi-Thread
+The `OpenMLDBHandler` object is not thread-safe, but the internal connection to the `SQLClusterRouter` can be used multi-threaded. You can achieve multi-threading by sharing the Router within the Handler object, which is more efficient than creating multiple independent Handler instances (each with its independent Router). However, in a multi-threaded mode, you should be cautious because interfaces without db depend on the Router's internal cache of used db, which might be modified by other threads. It's advisable to use the db interface in such cases. The following code demonstrates a method for multi-threaded usage:
+
+```c++
+OpenmldbHandler h1("127.0.0.1:2181", "/openmldb");
+OpenmldbHandler h2(h1.get_router());
+
+std::thread t1([&](){ h1.execute("show components;"); print_resultset(h1.get_resultset());});
+
+std::thread t2([&](){ h2.execute("show table status;"); print_resultset(h2.get_resultset());});
+
+t1.join();
+t2.join();
+```
+
+## Compile and run
+You can refer to [Makefile](https://github.com/4paradigm/OpenMLDB/blob/main/demo/cxx_quickstart/Makefile) or use the command below to compile and run the sample code.
+
+```bash
+gcc <user_code>.cxx -o <bin_name> -lstdc++ -std=c++17 -I<install_path>/include  -L<install_path>/lib -lopenmldbsdk -lpthread -lm -ldl -lstdc++fs
+
+./<bin_name>
+```
+
diff --git a/docs/en/quickstart/sdk/go_sdk.md b/docs/en/quickstart/sdk/go_sdk.md
index c30cbb2e502..4c07120a932 100644
--- a/docs/en/quickstart/sdk/go_sdk.md
+++ b/docs/en/quickstart/sdk/go_sdk.md
@@ -1,12 +1,14 @@
-# Go SDK
-
+# [Alpha] Go SDK
+```plain
+The current functionality support of the Go SDK is not yet complete. It is currently only recommended for development, testing, or specific use cases. It is not recommended for use in a production environment. For production use, we recommend using the Java SDK, which has the most comprehensive feature coverage and has undergone extensive testing for both functionality and performance.
+```
 ## Requirement
 
 - OpenMLDB version: >= v0.6.2
 
-- Deploy and run APIServer (refer to [APIServer deployment](https://openmldb.ai/docs/zh/main/deploy/install_deploy.html#apiserver) document)
+- Deploy and run APIServer (refer to [APIServer deployment](../../main/deploy/install_deploy.html#apiserver) document)
 
-## Go SDK package installment
+## Go SDK installation
 
 ```bash
 go get github.com/4paradigm/OpenMLDB/go
@@ -76,7 +78,7 @@ import (
   "context"
   "database/sql"
 
-  // 加载 OpenMLDB SDK
+  // Load OpenMLDB SDK
   _ "github.com/4paradigm/OpenMLDB/go"
 )
 
diff --git a/docs/en/quickstart/sdk/index.rst b/docs/en/quickstart/sdk/index.rst
index 2eec974bee0..d932b7f5442 100644
--- a/docs/en/quickstart/sdk/index.rst
+++ b/docs/en/quickstart/sdk/index.rst
@@ -7,6 +7,6 @@ SDK
 
     java_sdk
     python_sdk
-    rest_api
     go_sdk
-    cpp_sdk
+    cxx_sdk
+    rest_api
\ No newline at end of file
diff --git a/docs/en/quickstart/sdk/java_sdk.md b/docs/en/quickstart/sdk/java_sdk.md
index a74f4c98f3c..489dea47282 100644
--- a/docs/en/quickstart/sdk/java_sdk.md
+++ b/docs/en/quickstart/sdk/java_sdk.md
@@ -1,8 +1,10 @@
 # Java SDK
 
-## Java SDK package installation
+In Java SDK, the default execution mode for JDBC Statements is online, while the default execution mode for SqlClusterExecutor is offline. Please keep this in mind.
 
-- Installing Java SDK package on Linux
+## Java SDK Installation
+
+- Install Java SDK on Linux
 
   Configure the maven pom:
 
@@ -19,7 +21,7 @@
 </dependency>
 ```
 
-- Installing Java SDK package on Mac
+- Install Java SDK on Mac
 
   Configure the maven pom
 
@@ -36,16 +38,14 @@
 </dependency>
 ```
 
-Note: Since the openmldb-native package contains the C++ static library compiled for OpenMLDB, it is defaults to the Linux static library. For macOS, the version of openmldb-native should be changed to `0.8.3-macos`, while the version of openmldb-jdbc should remain unchanged.
-
-The macOS version of openmldb-native only supports macOS 12. To run it on macOS 11 or macOS 10.15, the openmldb-native package needs to be compiled from source code on the corresponding OS. For detailed compilation methods, please refer to [Concurrent Compilation of Java SDK](https://openmldb.ai/docs/zh/main/deploy/compile.html#java-sdk).
-
-To connect to the OpenMLDB service using the Java SDK, you can use JDBC (recommended) or connect directly through SqlClusterExecutor. The following will demonstrate both connection methods in order.
+Note: Since the openmldb-native package contains the C++ static library compiled for OpenMLDB, it defaults to the Linux static library. For macOS, the version of openmldb-native should be changed to `0.8.3-macos`, while the version of openmldb-jdbc remains unchanged.
 
-## JDBC method 
+The macOS version of openmldb-native only supports macOS 12. To run it on macOS 11 or macOS 10.15, the openmldb-native package needs to be compiled from the source code on the corresponding OS. For detailed compilation methods, please refer to [Java SDK](../../deploy/compile.md#Build-java-sdk-with-multi-processes). 
+When using a self-compiled openmldb-native package, it is recommended to install it into your local Maven repository using `mvn install`. After that, you can reference it in your project's pom.xml file. It's not advisable to reference it using `scope=system`.
 
-The connection method using JDBC is as follows:
+To connect to the OpenMLDB service using the Java SDK, you can use JDBC (recommended) or connect directly through SqlClusterExecutor. The following will demonstrate both connection methods.
 
+## Connection with JDBC 
 ```java
 Class.forName("com._4paradigm.openmldb.jdbc.SQLDriver");
 // No database in jdbcUrl
@@ -58,10 +58,10 @@ Connection connection1 = DriverManager.getConnection("jdbc:openmldb:///test_db?z
 The database specified in the Connection address must exist when creating the connection.
 
 ```{caution}
-he default execution mode for JDBC Connection is `online`.
+The default execution mode for JDBC Connection is `online`.
 ```
 
-### Usage overview
+### Statement
 
 All SQL commands can be executed using `Statement`, both in online and offline modes. To switch between offline and online modes, use command `SET @@execute_mode='...';``. For example:
 
@@ -77,17 +77,22 @@ res = stmt.executeQuery("SELECT * from t1"); // For online mode, select or execu
 
 The `LOAD DATA` command is an asynchronous command, and the returned ResultSet contains information such as the job ID and state. You can execute `show job <id>` to check if the job has been completed. Note that the ResultSet needs to execute `next()` method to move the cursor to the first row of data.
 
-It is also possible to change it to a synchronous command:
+In offline mode, the default behavior is asynchronous execution, and the ResultSet returned is a Job Info. You can change this behavior to synchronous execution using `SET @@sync_job=true;`. However, please note that the ResultSet returned can vary depending on the specific SQL command. For more details, please refer to the [Function Boundary](../function_boundary.md). Synchronous execution is recommended when using `LOAD DATA` or `SELECT INTO` commands.
 
-```SQL
-SET @@sync_job=true;
-```
+If synchronous commands are timing out, you can adjust the configuration as described in the [Offline Command Configuration](../../openmldb_sql/ddl/SET_STATEMENT.md).
 
-If the actual execution time of the synchronous command exceeds the default maximum idle wait time of 0.5 hours, please [adjust the configuration](https://openmldb.ai/docs/zh/main/openmldb_sql/ddl/SET_STATEMENT.html#id4).
+```{caution}
+When you execute `SET @@execute_mode='offline'` on a `Statement`, it not only affects the current `Statement` but also impacts all `Statement` objects created, both existing and yet to be created, within the same `Connection`. Therefore, it is not advisable to create multiple `Statement` objects and expect them to execute in different modes. If you need to execute SQL in different modes, it's recommended to create multiple `Connection`.
+```
 
 ### PreparedStatement 
 
-`PreparedStatement` supports `SELECT`, `INSERT`, and `DELETE` operations. Note that `INSERT` only supports online insertion.
+`PreparedStatement` supports `SELECT`, `INSERT`, and `DELETE`.
+```{warning}
+Any `PreparedStatement` executes only in the **online mode** and is not affected by the state before the `PreparedStatement` is created. `PreparedStatement` does not support switching to the offline mode. If you need to execute SQL in the offline mode, you can use a `Statement`.
+
+There are three types of `PreparedStatement` created by a `Connection`, which correspond to `getPreparedStatement`, `getInsertPreparedStmt`, and `getDeletePreparedStm`t in SqlClusterExecutor.
+```
 
 ```java
 PreparedStatement selectStatement = connection.prepareStatement("SELECT * FROM t1 WHERE id=?");
@@ -95,9 +100,10 @@ PreparedStatement insertStatement = connection.prepareStatement("INSERT INTO t1
 PreparedStatement insertStatement = connection.prepareStatement("DELETE FROM t1 WHERE id=?");
 ```
 
-## SqlClusterExecutor method 
+## SqlClusterExecutor 
+`SqlClusterExecutor` is the most comprehensive Java SDK connection method. It not only provides the basic CRUD operations that you can use with JDBC but also offers additional features like request modes and more.
 
-### Creating a SqlClusterExecutor 
+### Create a SqlClusterExecutor 
 
 First, configure the OpenMLDB connection parameters.
 
@@ -108,14 +114,13 @@ option.setZkPath("/openmldb");
 option.setSessionTimeout(10000);
 option.setRequestTimeout(60000);
 ```
-
 Then, use SdkOption to create the Executor.
 
 ```java
 sqlExecutor = new SqlClusterExecutor(option);
 ```
 
-`SqlClusterExecutor` execution of SQL operations is thread-safe, and in actual environments, a single `SqlClusterExecutor` can be created. However, since the execution mode (execute_mode) is an internal variable of `SqlClusterExecutor`, if you want to execute an offline command and an online command at the same time, unexpected results may occur. In this case, please use multiple `SqlClusterExecutors`.
+`SqlClusterExecutor` execution of SQL operations is thread-safe, and in actual environments, a single `SqlClusterExecutor` can be created. However, since the execution mode (`execute_mode`) is an internal variable of `SqlClusterExecutor`, if you want to execute an offline command and an online command at the same time, unexpected results may occur. In this case, please use multiple `SqlClusterExecutors`.
 
 ```{caution}
 The default execution mode for SqlClusterExecutor is offline, which is different from the default mode for JDBC.
@@ -158,7 +163,7 @@ try {
 }
 ```
 
-#### Executing batch SQL queries with Statement 
+#### Execute Batch SQL Queries with Statement 
 
 Use the `Statement::execute` interface to execute batch SQL queries:
 
@@ -200,15 +205,15 @@ try {
 
 ### PreparedStatement
 
-`SqlClusterExecutor` can also obtain `PreparedStatement`, but you need to specify which type of `PreparedStatement` to obtain. For example, when using InsertPreparedStmt for insertion operations, there are three ways to do it.
+`SqlClusterExecutor` can also obtain `PreparedStatement`, but you need to specify which type of `PreparedStatement` to obtain. For example, when using `InsertPreparedStmt` for insertion operations, there are three ways to do it.
 
 ```{note}
-Insert operation only supports online mode and is not affected by execution mode. The data will always be inserted into the online database.
+Any `PreparedStatement` executes exclusively in the **online mode** and is not influenced by the state of the `SqlClusterExecutor` at the time of its creation. `PreparedStatement` does not support switching to the offline mode. If you need to execute SQL in the offline mode, you can use a `Statement`.
 ```
 
 #### Common Insert
 
-1. Use the `SqlClusterExecutor::getInsertPreparedStmt(db, insertSql)` method to get the InsertPrepareStatement.
+1. Use the `SqlClusterExecutor::getInsertPreparedStmt(db, insertSql)` method to get the `InsertPrepareStatement`.
 2. Use the `PreparedStatement::execute()` method to execute the insert statement.
 
 ```java
@@ -232,14 +237,14 @@ try {
 }
 ```
 
-#### Insert With Placeholder
+#### Insert with Placeholder
 
-1. Get InsertPrepareStatement by calling `SqlClusterExecutor::getInsertPreparedStmt(db, insertSqlWithPlaceHolder)` interface.
-2. Use `PreparedStatement::setType(index, value)` interface to fill in data to the InsertPrepareStatement. Note that the index starts from 1.
+1. Get `InsertPrepareStatement` by calling `SqlClusterExecutor::getInsertPreparedStmt(db, insertSqlWithPlaceHolder)` interface.
+2. Use `PreparedStatement::setType(index, value)` interface to fill in data to the `InsertPrepareStatement`. Note that the index starts from 1.
 3. Use `PreparedStatement::execute()` interface to execute the insert statement.
 
 ```{note}
-When the conditions of the PreparedStatement are the same, you can repeatedly call the set method of the same object to fill in data before executing execute(). There is no need to create a new PreparedStatement object.
+When the conditions of the `PreparedStatement` are the same, you can repeatedly call the set method of the same object to fill in data before executing `execute`. There is no need to create a new `PreparedStatement` object.
 ```
 
 ```java
@@ -266,13 +271,13 @@ try {
 ```
 
 ```{note}
-After execute, the cached data will be cleared and it is not possible to retry execute.
+After `execute`, the cached data will be cleared and it is not possible to rerun `execute`.
 ```
 
-#### Batch Insert With Placeholder
+#### Batch Insert with Placeholder
 
-1. To use batch insert, first obtain the InsertPrepareStatement using the `SqlClusterExecutor::getInsertPreparedStmt(db, insertSqlWithPlaceHolder)` interface.
-2. Then use the `PreparedStatement::setType(index, value)` interface to fill data into the InsertPrepareStatement.
+1. To use batch insert, first obtain the `InsertPrepareStatement` using the `SqlClusterExecutor::getInsertPreparedStmt(db, insertSqlWithPlaceHolder)` interface.
+2. Then use the `PreparedStatement::setType(index, value)` interface to fill data into the `InsertPrepareStatement`.
 3. Use the `PreparedStatement::addBatch()` interface to complete filling for one row.
 4. Continue to use `setType(index, value)` and `addBatch()` to fill multiple rows.
 5. Use the `PreparedStatement::executeBatch()` interface to complete the batch insertion.
@@ -305,12 +310,12 @@ try {
 ```
 
 ```{note}
-After executeBatch(), all cached data will be cleared and it's not possible to retry executeBatch().
+After `executeBatch`, all cached data will be cleared and it's not possible to rerun `executeBatch`.
 ```
 
-### Execute SQL request query 
+### Execute SQL Query 
 
-`RequestPreparedStmt` is a unique query mode (not supported by JDBC). This mode requires both the selectSql and a request data, so you need to provide the SQL and set the request data using setType when calling `getRequestPreparedStmt`.
+`RequestPreparedStmt` is a unique query mode (not supported by JDBC). This mode requires both the selectSql and a request data, so you need to provide the SQL and set the request data using `setType` when calling `getRequestPreparedStmt`.
 
 There are three steps to execute a SQL request query:
 
@@ -359,7 +364,7 @@ try {
     Assert.assertEquals(resultSet.getInt(2), 24);
     Assert.assertEquals(resultSet.getLong(3), 34);
     
-    // The return result set of the ordinary request query contains only one row of results. Therefore, the result of the second call to resultSet. next() is false
+    // The return result set of the ordinary request query contains only one row of results. Therefore, the result of the second call to resultSet.next() is false
     Assert.assertFalse(resultSet.next());
   
 } catch (SQLException e) {
@@ -368,7 +373,7 @@ try {
 } finally {
     try {
         if (resultSet != null) {
-        // result用完之后需要close
+        // close result
         resultSet.close();
         }
         if (pstmt != null) {
@@ -379,16 +384,82 @@ try {
     }
 }
 ```
+### Execute Deployment
+To execute a deployment, you can use the `SqlClusterExecutor::getCallablePreparedStmt(db, deploymentName)` interface to obtain a `CallablePreparedStatement`. In contrast to the SQL request-based queries mentioned earlier, deployments are already online on the server, which makes them faster compared to SQL request-based queries.
+
+The process of using a deployment consists of two steps:
+- Online Deployment
+```java
+// Deploy online (use selectSql). In a real production environment, deployments are typically already online and operational.
+java.sql.Statement state = sqlExecutor.getStatement();
+try {
+    String selectSql = String.format("SELECT c1, c3, sum(c4) OVER w1 as w1_c4_sum FROM %s WINDOW w1 AS " +
+            "(PARTITION BY %s.c1 ORDER BY %s.c7 ROWS_RANGE BETWEEN 2d PRECEDING AND CURRENT ROW);", table,
+            table, table);
+    // Deploy
+    String deploySql = String.format("DEPLOY %s OPTIONS(RANGE_BIAS='inf', ROWS_BIAS='inf') %s", deploymentName, selectSql);
+    // set return null rs, don't check the returned value, it's false
+    state.execute(deploySql);
+} catch (Exception e) {
+    e.printStackTrace();
+}
+```
+- Execute Deployment
+When executing a deployment, recreating a `CallablePreparedStmt` can be time-consuming. It is recommended to reuse the `CallablePreparedStmt` whenever possible. The `executeQuery()` method will automatically clear the request row cache for `setXX` requests.
+
+```java
+// Execute Deployment
+PreparedStatement pstmt = null;
+ResultSet resultSet = null;
+try {
+    pstmt = sqlExecutor.getCallablePreparedStmt(db, deploymentName);
+    // Obtain preparedstatement with name
+    // pstmt = sqlExecutor.getCallablePreparedStmt(db, deploymentName);
+    ResultSetMetaData metaData = pstmt.getMetaData();
+    // Execute request mode requires setting query data in RequestPreparedStatement
+    setData(pstmt, metaData);
+    // executeQuery will execute select sql, and put result in resultSet
+    resultSet = pstmt.executeQuery();
 
-### Delete all data of a key under the specified index
+    Assert.assertTrue(resultSet.next());
+    Assert.assertEquals(resultSet.getMetaData().getColumnCount(), 3);
+    Assert.assertEquals(resultSet.getString(1), "bb");
+    Assert.assertEquals(resultSet.getInt(2), 24);
+    Assert.assertEquals(resultSet.getLong(3), 34);
+    Assert.assertFalse(resultSet.next());
+
+    // reuse way
+    for (int i = 0; i < 5; i++) {
+        setData(pstmt, metaData);
+        pstmt.executeQuery();
+        // skip result check
+    }
+} catch (SQLException e) {
+    e.printStackTrace();
+    Assert.fail();
+} finally {
+    try {
+        if (resultSet != null) {
+            // close result
+            resultSet.close();
+        }
+        if (pstmt != null) {
+            pstmt.close();
+        }
+    } catch (SQLException throwables) {
+        throwables.printStackTrace();
+    }
+}
+```
+
+### Delete All Data of a Key under the Specified Index
 
 There are two ways to delete data through the Java SDK:
 
 - Execute delete SQL directly
-
 - Use delete PreparedStatement
 
-Note that this can only delete data under one index, not all indexes. Refer to [DELETE function boundary](https://openmldb.ai/docs/zh/main/quickstart/function_boundary.html#delete) for details.
+Note that this can only delete data under one index, not all indexes. Refer to [DELETE function boundary](../function_boundary.md#delete) for details.
 
 ```java
 java.sql.Statement state = router.getStatement();
@@ -412,7 +483,7 @@ try {
 }
 ```
 
-### A complete example of using SqlClusterExecutor
+### A Complete Example of SqlClusterExecutor
 
 Refer to the [Java quickstart demo](https://github.com/4paradigm/OpenMLDB/tree/main/demo/java_quickstart/demo). If it is used on macOS, please use openmldb-native of macOS version and increase the dependency of openmldb-native.
 
@@ -427,9 +498,9 @@ java -cp target/demo-1.0-SNAPSHOT.jar com.openmldb.demo.App
 
 You must fill in `zkCluster` and `zkPath` (set method or the configuration `foo=bar` after `?` in JDBC).
 
-### Optional configuration
+### Optional Configuration
 
-| Optional configuration | Description                                                  |
+| Optional Configuration | Description                                                  |
 | ---------------------- | ------------------------------------------------------------ |
 | enableDebug            | The default is false. Enable the debug log of hybridse (note that it is not the global debug log). You can view more logs of sql compilation and operation. However, not all of these logs are collected by the client. You need to view the tablet server logs. |
 | requestTimeout         | The default is 60000 ms. This timeout is the rpc timeout sent by the client, except for those sent to the taskmanager (the rpc timeout of the job is controlled by the variable `job_timeout`). |
@@ -441,16 +512,18 @@ You must fill in `zkCluster` and `zkPath` (set method or the configuration `foo=
 | zkLogFile              | The default is empty, which is printed to stdout.            |
 | sparkConfPath          | The default is empty. You can change the spark conf used by the job through this configuration without configuring the taskmanager to restart. |
 
-## SQL verification
+## SQL Validation
 
-The Java client supports the correct verification of SQL to verify whether it is executable. It is divided into batch and request modes.
+The Java client supports the verification of SQL to verify whether it is executable. It is divided into batch and request modes.
 
-- `ValidateSQLInBatch` can verify whether SQL can be executed at the offline end.
+- `ValidateSQLInBatch` can verify whether SQL can be executed offline.
 - `ValidateSQLInRequest` can verify whether SQL can be deployed online.
 
-Both interfaces need to go through all table schemas required by SQL. Currently, only single db is supported. Please do not use `db.table` format in SQL statements.
+Both interfaces require providing all the table schemas required by the SQL and support multiple databases. For backward compatibility, it's allowed not to specify the db (current database in use) in the parameters. In such cases, it's equivalent to using the first db listed in use schema. It's important to ensure that the `<table>` format tables are from the first db, which doesn't affect SQL statements in the `<db>.<table>` format.
+
+For example, verify SQL `select count (c1) over w1 from t3 window w1 as (partition by c1 order by c2 rows between unbounded preceding and current row);`, In addition to this statement, you need to go through in the schema of table `t3` as the second parameter schemaMaps. The format is Map, key is the name of the db, and value is all the table schemas (maps) of each db. In fact, only a single db is supported, so there is usually only one db here, as shown in db3 below. The table schema map key under db is table name, and the value is `com._ 4paradigm.openmldb.sdk.Schema`, consisting of the name and type of each column.
 
-For example, verify SQL `select count (c1) over w1 from t3 window w1 as (partition by c1 order by c2 rows between unbounded preceding and current row);`, In addition to this statement, you need to go through in the schema of table `t3` as the second parameter schemaMaps. The format is Map, key is the name of the db, and value is all the table schemas (maps) of each db. In fact, only a single db is supported, so there is usually only one db here, as shown in db3 below. The table schema map key under db is table name, and the value is com._ 4paradigm.openmldb.sdk.Schema, consisting of the name and type of each column.
+The return result is a `List<String>`. If the validation is successful, it returns an empty list. If the validation fails, it returns a list of error messages, such as `[error_msg, error_trace]`.
 
 ```java
 Map<String, Map<String, Schema>> schemaMaps = new HashMap<>();
@@ -461,5 +534,66 @@ schemaMaps.put("db3", dbSchema);
 List<String> ret = SqlClusterExecutor.validateSQLInRequest("select count(c1) over w1 from t3 window "+
         "w1 as(partition by c1 order by c2 rows between unbounded preceding and current row);", schemaMaps);
 Assert.assertEquals(ret.size(), 0);
+
+Map<String, Map<String, Schema>> schemaMaps = new HashMap<>();
+Map<String, Schema> dbSchema = new HashMap<>();
+dbSchema = new HashMap<>();
+dbSchema.put("t3", new Schema(Arrays.asList(new Column("c1", Types.VARCHAR), new Column("c2", Types.BIGINT))));
+schemaMaps.put("db3", dbSchema);
+// Can use parameter format of no db. Make sure that there's only one db in schemaMaps，and only <table> format is used in sql.
+// List<String> ret = SqlClusterExecutor.validateSQLInRequest("select count(c1) over w1 from t3 window "+
+//        "w1 as(partition by c1 order by c2 rows between unbounded preceding and current row);", schemaMaps);
+List<String> ret = SqlClusterExecutor.validateSQLInRequest("select count(c1) over w1 from t3 window "+
+        "w1 as(partition by c1 order by c2 rows between unbounded preceding and current row);", "db3", schemaMaps);
+Assert.assertEquals(ret.size(), 0);
 ```
 
+## DDL Generation
+
+The `public static List<String> genDDL(String sql, Map<String, Map<String, Schema>> tableSchema)` method can help users generate table creation statements based on the SQL they want to deploy. It currently supports only a **single** database. The `sql` parameter should not be in the `<db>.<table>` format. The `tableSchema` parameter should include the schemas of all tables that the SQL depends on. The format of `tableSchema` should be consistent with what was discussed earlier. Even if `tableSchema` contains multiple databases, the database information will be discarded, and all tables will be treated as if they belong to an unknown database.
+
+## SQL Output Schema
+
+The `public static Schema genOutputSchema(String sql, String usedDB, Map<String, Map<String, Schema>> tableSchema)` method allows you to obtain the Output Schema for SQL queries and supports multiple databases. If you specify the `usedDB`, you can use tables from that database within the SQL using the `<table>` format. For backward compatibility, there is also support for the` public static Schema genOutputSchema(String sql, Map<String, Map<String, Schema>> tableSchema)` method without specifying a database (usedDB). In this case, it is equivalent to using the first database listed as the used db. Therefore, you should ensure that tables in `<table>` format within the `SQ`L query are associated with this first database.
+
+
+## SQL Table Lineage
+The `public static List<Pair<String, String>> getDependentTables(String sql, String usedDB, Map<String, Map<String, Schema>> tableSchema)` method allows you to retrieve all tables that the sql query depends on. Each `Pair<String, String>` in the list corresponds to the database name and table name, with the first element being the primary table, and the rest `[1, end)` representing other dependent tables (excluding the primary table). If the input parameter `usedDB` is an empty string, it means the query is performed without specifying a database (use db) context, which is different from the compatibility rules mentioned earlier for methods like `genDDL`.
+
+## SQL Merge
+The Java client supports merging multiple SQL statements and performs correctness validation in request mode using the `mergeSQL` interface. However, it's important to note that merging is only possible when all the input SQL statements have the same primary table.
+
+Input parameters: SQL group to be merged; the name of the current database being used; the join key(s) for the primary table (which can be multiple); the schema for all tables involved.
+
+For example, let's consider four SQL feature views:
+```
+// Single-table direct feature
+select c1 from main;
+// Single-table aggregation feature
+select sum(c1) over w1 of2 from main window w1 as (partition by c1 order by c2 rows between unbounded preceding and current row);
+// Multi-table feature
+select t1.c2 of4 from main last join t1 order by t1.c2 on main.c1==t1.c1;
+// Multi-table aggregation feature
+select sum(c2) over w1 from main window w1 as (union (select \"\" as id, * from t1) partition by c1 order by c2 rows between unbounded preceding and current row);
+```
+
+Since all of them have the same primary table, "main," they can be merged. The merging process is essentially a join operation. To perform this operation, you also need to specify a unique column in the "main" table that can be used to identify a unique row of data. For example, if the "id" column in the "main" table is not unique and there may be multiple rows with the same "id" values, you can use a combination of "id" and "c1" columns for the join. Similar to SQL validation, you would also provide a schema map for the tables involved in the merge.
+
+
+```java
+//To simplify the demonstration, we are using tables from a single database, so you only need to specify used db and table names if your SQL statements all use the <table> format. you can leave the used database parameter as an empty string. If your SQL statements use the <db>.<table> format, you can leave the used db parameter as an empty string
+String merged = SqlClusterExecutor.mergeSQL(sqls, "db", Arrays.asList("id", "c1"), schemaMaps);
+```
+
+The output is a single merged SQL statement, as shown below. The input SQL includes a total of four features, so the merged SQL will only output these four feature columns. (The join keys are automatically filtered.)
+
+```
+select `c1`, `of2`, `of4`, `sum(c2)over w1` from (select main.id as merge_id_0, c1 from main) as out0 last join (select main.id as merge_id_1, sum(c1) over w1 of2 from main window w1 as (partition by c1 order by c2 rows between unbounded preceding and current row)) as out1 on out0.merge_id_0 = out1.merge_id_1 last join (select main.id as merge_id_2, t1.c2 of4 from main last join t1 order by t1.c2 on main.c1==t1.c1) as out2 on out0.merge_id_0 = out2.merge_id_2 last join (select main.id as merge_id_3, sum(c2) over w1 from main window w1 as (union (select "" as id, * from t1) partition by c1 order by c2 rows between unbounded preceding and current row)) as out3 on out0.merge_id_0 = out3.merge_id_3;
+```
+
+```{note}
+If you encounter an "Ambiguous column name" error during the merging process, it may be due to having the same column names in different feature groups. To resolve this, you should use aliases in your input SQL to distinguish between them.
+```
+
+
+
diff --git a/docs/en/quickstart/sdk/python_sdk.md b/docs/en/quickstart/sdk/python_sdk.md
index 421f6b8ff93..6ae0e4705af 100644
--- a/docs/en/quickstart/sdk/python_sdk.md
+++ b/docs/en/quickstart/sdk/python_sdk.md
@@ -1,18 +1,20 @@
 # Python SDK
 
-## Python SDK package installation
+The default execution mode is Online.
 
-Execute the following command to install the Python SDK package:
+## Python SDK Installation
+
+Execute the following command to install Python SDK:
 
 ```bash
 pip install openmldb
 ```
 
-## OpenMLDB DBAPI usage
+## OpenMLDB DBAPI
 
-This section demonstrates the basic use of the OpenMLDB DB API.
+This section demonstrates the basic use of the OpenMLDB DB API. For all DBAPI interfaces, if an execution fails, it will raise a `DatabaseError` exception. Users can catch this exception and handle it as needed. The return value is a `Cursor`. For DDL SQL, you do not need to handle the return value. For other SQL statements, you can refer to the specific examples below for how to handle the return value.
 
-### Create connection
+### Create Connection
 
 Parameter `db_name` name must exist, and the database must be created before the connection is created. To continue, create a connection without a database and then use the database db through the `execute ("USE<db>")` command.
 
@@ -24,11 +26,11 @@ cursor = db.cursor()
 
 #### Configuration Details
 
-Zk and zkPath configuration are required.
+Zk and zkPath configurations are required.
 
-The Python SDK can be used through OpenMLDB DBAPI/SQLAlchemy. The optional configurations are basically the same as those of the Java client. Please refer to the [Java SDK configuration](https://openmldb.ai/docs/zh/main/quickstart/sdk/java_sdk.html#sdk) for details.
+The Python SDK can be used through OpenMLDB DBAPI/SQLAlchemy. The optional configurations are basically the same as those of the Java client. Please refer to the [Java SDK configuration](./java_sdk.md#sdk-configuration-details) for details.
 
-### Create database
+### Create Database
 
 Create database `db1`:
 
@@ -37,7 +39,7 @@ cursor.execute("CREATE DATABASE db1")
 cursor.execute("USE db1")
 ```
 
-### Create table
+### Create Table
 
 Create table `t1`:
 
@@ -45,7 +47,7 @@ Create table `t1`:
 cursor.execute("CREATE TABLE t1 (col1 bigint, col2 date, col3 string, col4 string, col5 int, index(key=col3, ts=col1))")
 ```
 
-### Insert data into the table
+### Insert Data into Table
 
 Insert one sentence of data into the table:
 
@@ -53,7 +55,7 @@ Insert one sentence of data into the table:
 cursor.execute("INSERT INTO t1 VALUES(1000, '2020-12-25', 'guangdon', 'shenzhen', 1)")
 ```
 
-### Execute SQL query
+### Execute SQL Query
 
 ```python
 result = cursor.execute("SELECT * FROM t1")
@@ -62,15 +64,30 @@ print(result.fetchmany(10))
 print(result.fetchall())
 ```
 
-### SQL batch request query
+### SQL Batch Query
 
 ```python
-#In the Batch Request mode, the input parameters of the interface are“SQL”, “Common_Columns”, “Request_Columns”
+#In the Batch Request mode, the input parameters of the interface are "SQL", "Common_Columns", "Request_Columns"
 result = cursor.batch_row_request("SELECT * FROM t1", ["col1","col2"], ({"col1": 2000, "col2": '2020-12-22', "col3": 'fujian', "col4":'xiamen', "col5": 2}))
 print(result.fetchone())
 ```
+### Execute Deployment
+
+Please note that the execution of deployments is only supported by DBAPI, and there is no equivalent interface in OpenMLDB SQLAlchemy. Additionally, deployment execution supports single requests only and does not support batch requests.
+
+```python
+cursor.execute("DEPLOY d1 SELECT col1 FROM t1")
+# dict style
+result = cursor.callproc("d1", {"col1": 1000, "col2": None, "col3": None, "col4": None, "col5": None})
+print(result.fetchall())
+# tuple style
+result = cursor.callproc("d1", (1001, "2023-07-20", "abc", "def", 1))
+print(result.fetchall())
+# drop deployment before drop table
+cursor.execute("DROP DEPLOYMENT d1")
+```
 
-### Delete table
+### Delete Table
 
 Delete table `t1`:
 
@@ -78,7 +95,7 @@ Delete table `t1`:
 cursor.execute("DROP TABLE t1")
 ```
 
-### Delete database
+### Delete Database
 
 Delete database `db1`:
 
@@ -86,17 +103,17 @@ Delete database `db1`:
 cursor.execute("DROP DATABASE db1")
 ```
 
-### Close connection
+### Close Connection
 
 ```python
 cursor.close()
 ```
 
-## OpenMLDB SQLAlchemy usage
+## OpenMLDB SQLAlchemy
 
-This section demonstrates using the Python SDK through OpenMLDB SQLAlchemy.
+This section demonstrates the use of the Python SDK through OpenMLDB SQLAlchemy. Similarly, if any of the DBAPI interfaces fail, they will raise a `DatabaseError` exception. Users can catch and handle this exception as needed. The handling of return values should follow the SQLAlchemy standard.
 
-### Create connection
+### Create Connection
 
 ```python
 create_engine('openmldb:///db_name?zk=zkcluster&zkPath=zkpath')
@@ -110,7 +127,7 @@ engine = db.create_engine('openmldb:///?zk=127.0.0.1:2181&zkPath=/openmldb')
 connection = engine.connect()
 ```
 
-### Create database
+### Create Database
 
 Use the `connection.execute()` interface to create database `db1`:
 
@@ -123,7 +140,7 @@ except Exception as e:
 connection.execute("USE db1")
 ```
 
-### Create table
+### Create Table
 
 Use the `connection.execute()` interface to create table `t1`:
 
@@ -134,7 +151,7 @@ except Exception as e:
     print(e)
 ```
 
-### Insert data into the table
+### Insert Data into Table
 
 Use the `connection.execute (ddl)` interface to execute the SQL insert statement, and you can insert data into the table:
 
@@ -156,7 +173,7 @@ except Exception as e:
     print(e)
 ```
 
-### Execute SQL batch query
+### Execute SQL Batch Query
 
 Use the `connection.execute (sql)` interface to execute SQL batch query statements:
 
@@ -171,7 +188,7 @@ except Exception as e:
     print(e)
 ```
 
-### Execute SQL request query
+### Execute SQL Query
 
 Use the `connection.execute (sql, request)` interface to execute the SQL request query. You can put the input data into the second parameter of the execute function:
 
@@ -182,7 +199,7 @@ except Exception as e:
     print(e)
 ```
 
-### Delete table
+### Delete Table
 
 Use the `connection.execute (ddl)` interface to delete table `t1`:
 
@@ -193,7 +210,7 @@ except Exception as e:
     print(e)
 ```
 
-### Delete database
+### Delete Database
 
 Use the connection.execute（ddl）interface to delete database `db1`:
 
@@ -204,7 +221,7 @@ except Exception as e:
     print(e)
 ```
 
-## Notebook Magic Function usage
+## Notebook Magic Function
 
 The OpenMLDB Python SDK supports the expansion of Notebook magic function. Use the following statement to register the function.
 
@@ -216,26 +233,24 @@ openmldb.sql_magic.register(db)
 
 Then you can use line magic function `%sql` and block magic function `%%sql` in Notebook.
 
-![img](https://openmldb.ai/docs/zh/main/_images/openmldb_magic_function.png)
-
-## The complete usage example
+![img](../images/openmldb_magic_function.png)
 
-Refer to the [Python quickstart demo](https://github.com/4paradigm/OpenMLDB/tree/main/demo/python_quickstart/demo.py), including the above DBAPI and SQLAlchemy usage.
+## A Complete Example
 
-## common problem
+Refer to the [Python quickstart demo](https://github.com/4paradigm/OpenMLDB/tree/main/demo/python_quickstart/demo.py), which includes the above DBAPI and SQLAlchemy usage.
 
-- **What do I do when error** `ImportError：dlopen (.. _sql_router_sdk. so, 2): initializer function 0xnnnn not in mapped image for` **appears when using SQLAlchemy?**
+## Q&A
 
-In addition to import openmldb, you may also import other third-party libraries, which may cause confusion in the loading order. Due to the complexity of the system, you can try to use the virtual env environment (such as conda) to avoid interference. In addition, import openmldb before importing sqlalchemy, and ensure that the two imports are in the first place.
+- **What do I do when error `ImportError：dlopen (.. _sql_router_sdk. so, 2): initializer function 0xnnnn not in mapped image for` appears when using SQLAlchemy?**
 
-If the error still occur, it is recommended to connect to OpenMLDB by using request http to connect to apiserver.
+In addition to importing OpenMLDB, you may also have imported other third-party libraries, which may cause confusion in the loading order. Due to the complexity of the system, you can try to use the virtual env environment (such as conda) to avoid interference. In addition, import OpenMLDB before importing SQLAlchemy, and ensure that the two imports are in the first place.
 
-occur
+If the error still occurs, it is recommended to connect to OpenMLDB by request http to connect to apiserver.
 
-- **What do I do if Python SDK encountered the following problems?**
+- **What do I do if Python SDK encounters the following problems?**
 
 ```plain
 [libprotobuf FATAL /Users/runner/work/crossbow/crossbow/vcpkg/buildtrees/protobuf/src/23fa7edd52-3ba2225d30.clean/src/google/protobuf/stubs/common.cc:87] This program was compiled against version 3.6.1 of the Protocol Buffer runtime library, which is not compatible with the installed version (3.15.8).  Contact the program author for an update. ...
 ```
 
-This problem may be due to the introduction of other versions of protobuf in other libraries. You can try to use the virtual env environment (such as conda).
+This problem may be due to the import of other versions of protobuf from other libraries. You can try to use the virtual env environment (such as conda).
diff --git a/docs/en/quickstart/sdk/rest_api.md b/docs/en/quickstart/sdk/rest_api.md
index 7d8f3c4a881..c2a6cc972ea 100644
--- a/docs/en/quickstart/sdk/rest_api.md
+++ b/docs/en/quickstart/sdk/rest_api.md
@@ -1,12 +1,12 @@
 # REST API
 
-## Important information
+## Important
 
-REST APIs interact with the services of APIServer and OpenMLDB, so the APIServer module must be properly deployed to be used effectively. APIServer is an optional module during installation and deployment. Refer to the APIServer deployment document.
+REST APIs interact with the services of APIServer and OpenMLDB, so the APIServer module must be properly deployed to be used effectively. APIServer is an optional module during installation and deployment. Refer to [APIServer Deployment](../../deploy/install_deploy.md).
 
 At this stage, APIServer is mainly used for functional testing, not recommended for performance testing, nor recommended for the production environment. The default deployment of APIServer does not have a high availability mechanism at present and introduces additional network and codec overhead.
 
-## Data insertion
+## Data Insertion
 
 Request address: http://ip:port/dbs/{db_name}/tables/{table_name}
 
@@ -23,7 +23,6 @@ The requestor:
 ```
 
 - Currently, it only supports inserting one piece of data.
-
 - The data should be arranged in strict accordance with the schema.
 
 Sample request data:
@@ -44,7 +43,7 @@ Response:
 }
 ```
 
-## Real-time feature computing
+## Real-Time Feature Computing
 
 Request address: http://ip:port/dbs/{db_name}/deployments/{deployment_name}
 
@@ -81,11 +80,11 @@ Requestor
 
 - Input data in JSON format can have redundant columns.
 
-**Sample request data**
+**Sample Request Data**
 
 Example 1: Array format
 
-```plain
+```Plain
 curl http://127.0.0.1:8080/dbs/demo_db/deployments/demo_data_service -X POST -d'{
         "input": [["aaa", 11, 22, 1.2, 1.3, 1635247427000, "2021-05-20"]]
     }'
@@ -106,9 +105,7 @@ Response:
 Example 2: JSON format
 
 ```JSON
-curl http://127.0.0.1:8080/dbs/demo_db/deployments/demo_data_service -X POST -d'{
-  "input": [{"c1":"aaa", "c2":11, "c3":22, "c4":1.2, "c5":1.3, "c6":1635247427000, "c7":"2021-05-20", "foo":"bar"}]
-    }'
+curl http://127.0.0.1:8080/dbs/demo_db/deployments/demo_data_service -X POST -d'{"input": [{"c1":"aaa", "c2":11, "c3":22, "c4":1.2, "c5":1.3, "c6":1635247427000, "c7":"2021-05-20", "foo":"bar"}]}'
 ```
 
 Response:
@@ -125,7 +122,7 @@ Response:
 
 ## Query
 
-Request address: http://ip:port/dbs/ {db_name}
+Request address: http://ip:port/dbs/{db_name}
 
 Request method: POST
 
@@ -146,13 +143,13 @@ Request parameters:
 
 | Parameters | Type   | Requirement | Description                                                  |
 | ---------- | ------ | ----------- | ------------------------------------------------------------ |
-| mode       | String | Yes         | Available for `offsync` , `offasync`, `online`               |
+| mode       | String | Yes         | Set to `offsync` , `offasync`, `online`               |
 | sql        | String | Yes         |                                                              |
 | input      | Object | No          |                                                              |
 | schema     | Array  | No          | Support data types (case insensitive): `Bool`, `Int16`, `Int32`, `Int64`, `Float`, `Double`, `String`, `Date and Timestamp` |
 | data       | Array  | No          |                                                              |
 
-**Sample request data**
+**Sample Request Data**
 
 Example 1: General query
 
@@ -202,7 +199,7 @@ Response:
 }
 ```
 
-## Query deployment information
+## Query Deployment Information
 
 Request address: http://ip:port/dbs/{db_name}/deployments/{deployment_name}
 
@@ -239,7 +236,7 @@ Response:
 }
 ```
 
-## Acquire all library names
+## Acquire All Library Names
 
 Request address: http://ip:port/dbs
 
@@ -257,7 +254,7 @@ Response:
 }
 ```
 
-## Acquire all table names
+## Acquire All Table Names
 
 Request address: http://ip:port/dbs/{db}/tables
 
@@ -310,7 +307,7 @@ Response:
 }
 ```
 
-## Refresh APIServer metadata cache
+## Refresh APIServer Metadata Cache
 
 Request address: http://ip:port/refresh
 

From 671897e2112b23adc29c668e3d36fc7a84e43fdc Mon Sep 17 00:00:00 2001
From: aceforeverd <teapot@aceforeverd.com>
Date: Thu, 26 Oct 2023 16:36:27 +0800
Subject: [PATCH 08/27] refactor(codegen): null safe for struct ir builder
 (#3547)

fixes #926
---
 cases/query/const_query.yaml                 | 48 ++++++++++-
 hybridse/src/codegen/array_ir_builder.cc     | 16 ++++
 hybridse/src/codegen/array_ir_builder.h      |  4 +-
 hybridse/src/codegen/cast_expr_ir_builder.cc | 86 ++++++++------------
 hybridse/src/codegen/cast_expr_ir_builder.h  | 24 ++----
 hybridse/src/codegen/date_ir_builder.cc      |  8 --
 hybridse/src/codegen/date_ir_builder.h       | 10 +--
 hybridse/src/codegen/expr_ir_builder.cc      |  5 +-
 hybridse/src/codegen/ir_base_builder.cc      | 15 ++--
 hybridse/src/codegen/native_value.h          |  4 +-
 hybridse/src/codegen/string_ir_builder.cc    | 12 +--
 hybridse/src/codegen/string_ir_builder.h     | 20 ++---
 hybridse/src/codegen/struct_ir_builder.cc    | 25 ++++--
 hybridse/src/codegen/struct_ir_builder.h     | 22 +++--
 hybridse/src/codegen/timestamp_ir_builder.cc |  8 +-
 hybridse/src/codegen/type_ir_builder.cc      | 45 ++++++++--
 hybridse/src/codegen/type_ir_builder.h       |  6 ++
 hybridse/src/udf/default_udf_library.cc      | 12 +--
 18 files changed, 197 insertions(+), 173 deletions(-)

diff --git a/cases/query/const_query.yaml b/cases/query/const_query.yaml
index 5efe6fa3c29..a3ea130d885 100644
--- a/cases/query/const_query.yaml
+++ b/cases/query/const_query.yaml
@@ -126,15 +126,55 @@ cases:
       columns: ['c1 bool', 'c2 int16', 'c3 int', 'c4 double', 'c5 string', 'c6 date', 'c7 timestamp' ]
       rows:
         - [ true, 3, 13, 10.0, 'a string', '2020-05-22', 1590115420000 ]
+
+  # =================================================================================
+  # Null safe for structure types: String, Date, Timestamp and Array
+  # creating struct from:
+  # 1. NULL liternal (const null)
+  # 2. another supported date type but fails to cast, e.g. timestamp(-1) returns NULL of timestamp
+  #
+  # casting to array type un-implemented
+  # =================================================================================
   - id: 10
+    desc: null safe for date
     mode: procedure-unsupport
     sql: |
       select
         datediff(Date(timestamp(-1)), Date("2021-05-01")) as out1,
         datediff(Date(timestamp(-2177481600)), Date("2021-05-01")) as out2,
-        datediff(cast(NULL as date), Date("2021-05-01")) as out3
-        ;
+        datediff(cast(NULL as date), Date("2021-05-01")) as out3,
+        date(NULL) as out4,
+        date("abc") as out5,
+        date(timestamp("abc")) as out6
+    expect:
+      columns: ["out1 int", "out2 int", "out3 int", "out4 date", "out5 date", "out6 date"]
+      data: |
+        NULL, NULL, NULL, NULL, NULL, NULL
+  - id: 11
+    desc: null safe for timestamp
+    mode: procedure-unsupport
+    sql: |
+      select
+        month(cast(NULL as timestamp)) as out1,
+        month(timestamp(NULL)) as out2,
+        month(timestamp(-1)) as out3,
+        month(timestamp("abc")) as out4,
+        month(timestamp(date("abc"))) as out5
+    expect:
+      columns: ["out1 int", "out2 int", "out3 int", "out4 int", "out5 int"]
+      data: |
+        NULL, NULL, NULL, NULL, NULL
+  - id: 12
+    desc: null safe for string
+    mode: procedure-unsupport
+    sql: |
+      select
+        char_length(cast(NULL as string)) as out1,
+        char_length(string(int(NULL))) as out2,
+        char_length(string(bool(null))) as out3,
+        char_length(string(timestamp(null))) as out4,
+        char_length(string(date(null))) as out5
     expect:
-      columns: ["out1 int", "out2 int", "out3 int"]
+      columns: ["out1 int", "out2 int", "out3 int", "out4 int", "out5 int"]
       data: |
-        NULL, NULL, NULL
+        NULL, NULL, NULL, NULL, NULL
diff --git a/hybridse/src/codegen/array_ir_builder.cc b/hybridse/src/codegen/array_ir_builder.cc
index 0788c1ba8aa..5bf1bf06e99 100644
--- a/hybridse/src/codegen/array_ir_builder.cc
+++ b/hybridse/src/codegen/array_ir_builder.cc
@@ -114,5 +114,21 @@ base::Status ArrayIRBuilder::NewEmptyArray(llvm::BasicBlock* bb, NativeValue* ou
     return base::Status::OK();
 }
 
+bool ArrayIRBuilder::CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output) {
+    llvm::Value* array_alloca = nullptr;
+    if (!Create(block, &array_alloca)) {
+        return false;
+    }
+
+    llvm::IRBuilder<> builder(block);
+    ::llvm::Value* array_sz = builder.getInt64(0);
+    if (!Set(block, array_alloca, 2, array_sz)) {
+        return false;
+    }
+
+    *output = array_alloca;
+    return true;
+}
+
 }  // namespace codegen
 }  // namespace hybridse
diff --git a/hybridse/src/codegen/array_ir_builder.h b/hybridse/src/codegen/array_ir_builder.h
index 38eb6eda1ad..66ef2fe05da 100644
--- a/hybridse/src/codegen/array_ir_builder.h
+++ b/hybridse/src/codegen/array_ir_builder.h
@@ -49,12 +49,12 @@ class ArrayIRBuilder  : public StructTypeIRBuilder {
 
     void InitStructType() override;
 
-    bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output) override { return true; }
+    bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output) override;
 
     bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value* dist) override { return true; }
 
     base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src, NativeValue* output) override {
-        return base::Status::OK();
+        CHECK_TRUE(false, common::kCodegenError, "casting to array un-implemented");
     };
 
  private:
diff --git a/hybridse/src/codegen/cast_expr_ir_builder.cc b/hybridse/src/codegen/cast_expr_ir_builder.cc
index bdb6329c6c8..57e4103cba6 100644
--- a/hybridse/src/codegen/cast_expr_ir_builder.cc
+++ b/hybridse/src/codegen/cast_expr_ir_builder.cc
@@ -15,12 +15,15 @@
  */
 
 #include "codegen/cast_expr_ir_builder.h"
+
 #include "codegen/date_ir_builder.h"
 #include "codegen/ir_base_builder.h"
 #include "codegen/string_ir_builder.h"
 #include "codegen/timestamp_ir_builder.h"
+#include "codegen/type_ir_builder.h"
 #include "glog/logging.h"
 #include "node/node_manager.h"
+#include "proto/fe_common.pb.h"
 
 using hybridse::common::kCodegenError;
 
@@ -72,98 +75,73 @@ Status CastExprIRBuilder::Cast(const NativeValue& value,
     }
     return Status::OK();
 }
-Status CastExprIRBuilder::SafeCast(const NativeValue& value, ::llvm::Type* type,
-                                   NativeValue* output) {
+
+Status CastExprIRBuilder::SafeCast(const NativeValue& value, ::llvm::Type* dst_type, NativeValue* output) {
     ::llvm::IRBuilder<> builder(block_);
-    CHECK_TRUE(IsSafeCast(value.GetType(), type), kCodegenError,
-               "Safe cast fail: unsafe cast");
+    CHECK_TRUE(IsSafeCast(value.GetType(), dst_type), kCodegenError, "Safe cast fail: unsafe cast");
     Status status;
     if (value.IsConstNull()) {
-        if (TypeIRBuilder::IsStringPtr(type)) {
-            StringIRBuilder string_ir_builder(block_->getModule());
-            CHECK_STATUS(string_ir_builder.CreateNull(block_, output));
-            return base::Status::OK();
-        } else {
-            *output = NativeValue::CreateNull(type);
-        }
-    } else if (TypeIRBuilder::IsTimestampPtr(type)) {
+        auto res = CreateSafeNull(block_, dst_type);
+        CHECK_TRUE(res.ok(), kCodegenError, res.status().ToString());
+        *output = res.value();
+    } else if (TypeIRBuilder::IsTimestampPtr(dst_type)) {
         TimestampIRBuilder timestamp_ir_builder(block_->getModule());
         CHECK_STATUS(timestamp_ir_builder.CastFrom(block_, value, output));
         return Status::OK();
-    } else if (TypeIRBuilder::IsDatePtr(type)) {
+    } else if (TypeIRBuilder::IsDatePtr(dst_type)) {
         DateIRBuilder date_ir_builder(block_->getModule());
         CHECK_STATUS(date_ir_builder.CastFrom(block_, value, output));
         return Status::OK();
-    } else if (TypeIRBuilder::IsStringPtr(type)) {
+    } else if (TypeIRBuilder::IsStringPtr(dst_type)) {
         StringIRBuilder string_ir_builder(block_->getModule());
         CHECK_STATUS(string_ir_builder.CastFrom(block_, value, output));
         return Status::OK();
-    } else if (TypeIRBuilder::IsNumber(type)) {
+    } else if (TypeIRBuilder::IsNumber(dst_type)) {
         Status status;
         ::llvm::Value* output_value = nullptr;
-        CHECK_TRUE(SafeCastNumber(value.GetValue(&builder), type, &output_value,
-                                  status),
-                   kCodegenError);
+        CHECK_TRUE(SafeCastNumber(value.GetValue(&builder), dst_type, &output_value, status), kCodegenError);
         if (value.IsNullable()) {
-            *output = NativeValue::CreateWithFlag(output_value,
-                                                  value.GetIsNull(&builder));
+            *output = NativeValue::CreateWithFlag(output_value, value.GetIsNull(&builder));
         } else {
             *output = NativeValue::Create(output_value);
         }
     } else {
-        return Status(common::kCodegenError,
-                      "Can't cast from " +
-                          TypeIRBuilder::TypeName(value.GetType()) + " to " +
-                          TypeIRBuilder::TypeName(type));
+        return Status(common::kCodegenError, "Can't cast from " + TypeIRBuilder::TypeName(value.GetType()) + " to " +
+                                                 TypeIRBuilder::TypeName(dst_type));
     }
     return Status::OK();
 }
-Status CastExprIRBuilder::UnSafeCast(const NativeValue& value,
-                                     ::llvm::Type* type, NativeValue* output) {
-    ::llvm::IRBuilder<> builder(block_);
-    if (value.IsConstNull()) {
-        if (TypeIRBuilder::IsStringPtr(type)) {
-            StringIRBuilder string_ir_builder(block_->getModule());
-            CHECK_STATUS(string_ir_builder.CreateNull(block_, output));
-            return base::Status::OK();
 
-        } else if (TypeIRBuilder::IsDatePtr(type)) {
-            DateIRBuilder date_ir(block_->getModule());
-            CHECK_STATUS(date_ir.CreateNull(block_, output));
-            return base::Status::OK();
-        } else {
-            *output = NativeValue::CreateNull(type);
-        }
-    } else if (TypeIRBuilder::IsTimestampPtr(type)) {
+Status CastExprIRBuilder::UnSafeCast(const NativeValue& value, ::llvm::Type* dst_type, NativeValue* output) {
+    ::llvm::IRBuilder<> builder(block_);
+    if (value.IsConstNull() || (TypeIRBuilder::IsNumber(dst_type) && TypeIRBuilder::IsDatePtr(value.GetType()))) {
+        // input is const null or (cast date to number)
+        auto res = CreateSafeNull(block_, dst_type);
+        CHECK_TRUE(res.ok(), kCodegenError, res.status().ToString());
+        *output = res.value();
+    } else if (TypeIRBuilder::IsTimestampPtr(dst_type)) {
         TimestampIRBuilder timestamp_ir_builder(block_->getModule());
         CHECK_STATUS(timestamp_ir_builder.CastFrom(block_, value, output));
         return Status::OK();
-    } else if (TypeIRBuilder::IsDatePtr(type)) {
+    } else if (TypeIRBuilder::IsDatePtr(dst_type)) {
         DateIRBuilder date_ir_builder(block_->getModule());
         CHECK_STATUS(date_ir_builder.CastFrom(block_, value, output));
         return Status::OK();
-    } else if (TypeIRBuilder::IsStringPtr(type)) {
+    } else if (TypeIRBuilder::IsStringPtr(dst_type)) {
         StringIRBuilder string_ir_builder(block_->getModule());
         CHECK_STATUS(string_ir_builder.CastFrom(block_, value, output));
         return Status::OK();
-    } else if (TypeIRBuilder::IsNumber(type) &&
-               TypeIRBuilder::IsStringPtr(value.GetType())) {
+    } else if (TypeIRBuilder::IsNumber(dst_type) && TypeIRBuilder::IsStringPtr(value.GetType())) {
         StringIRBuilder string_ir_builder(block_->getModule());
-        CHECK_STATUS(
-            string_ir_builder.CastToNumber(block_, value, type, output));
+        CHECK_STATUS(string_ir_builder.CastToNumber(block_, value, dst_type, output));
         return Status::OK();
-    } else if (TypeIRBuilder::IsNumber(type) &&
-               TypeIRBuilder::IsDatePtr(value.GetType())) {
-        *output = NativeValue::CreateNull(type);
     } else {
         Status status;
         ::llvm::Value* output_value = nullptr;
-        CHECK_TRUE(UnSafeCastNumber(value.GetValue(&builder), type,
-                                    &output_value, status),
-                   kCodegenError, status.msg);
+        CHECK_TRUE(UnSafeCastNumber(value.GetValue(&builder), dst_type, &output_value, status), kCodegenError,
+                   status.msg);
         if (value.IsNullable()) {
-            *output = NativeValue::CreateWithFlag(output_value,
-                                                  value.GetIsNull(&builder));
+            *output = NativeValue::CreateWithFlag(output_value, value.GetIsNull(&builder));
         } else {
             *output = NativeValue::Create(output_value);
         }
diff --git a/hybridse/src/codegen/cast_expr_ir_builder.h b/hybridse/src/codegen/cast_expr_ir_builder.h
index bb487ed1466..5adfca2bdcf 100644
--- a/hybridse/src/codegen/cast_expr_ir_builder.h
+++ b/hybridse/src/codegen/cast_expr_ir_builder.h
@@ -18,9 +18,6 @@
 #define HYBRIDSE_SRC_CODEGEN_CAST_EXPR_IR_BUILDER_H_
 #include "base/fe_status.h"
 #include "codegen/cond_select_ir_builder.h"
-#include "codegen/scope_var.h"
-#include "llvm/IR/IRBuilder.h"
-#include "proto/fe_type.pb.h"
 
 namespace hybridse {
 namespace codegen {
@@ -32,26 +29,19 @@ class CastExprIRBuilder {
     explicit CastExprIRBuilder(::llvm::BasicBlock* block);
     ~CastExprIRBuilder();
 
-    Status Cast(const NativeValue& value, ::llvm::Type* cast_type,
-                NativeValue* output);  // NOLINT
-    Status SafeCast(const NativeValue& value, ::llvm::Type* type,
-                    NativeValue* output);  // NOLINT
-    Status UnSafeCast(const NativeValue& value, ::llvm::Type* type,
-                      NativeValue* output);  // NOLINT
+    Status Cast(const NativeValue& value, ::llvm::Type* cast_type, NativeValue* output);
+    Status SafeCast(const NativeValue& value, ::llvm::Type* dst_type, NativeValue* output);
+    Status UnSafeCast(const NativeValue& value, ::llvm::Type* dst_type, NativeValue* output);
     static bool IsSafeCast(::llvm::Type* lhs, ::llvm::Type* rhs);
-    static Status InferNumberCastTypes(::llvm::Type* left_type,
-                                       ::llvm::Type* right_type);
+    static Status InferNumberCastTypes(::llvm::Type* left_type, ::llvm::Type* right_type);
     static bool IsIntFloat2PointerCast(::llvm::Type* src, ::llvm::Type* dist);
     bool BoolCast(llvm::Value* pValue, llvm::Value** pValue1,
                   base::Status& status);  // NOLINT
-    bool SafeCastNumber(::llvm::Value* value, ::llvm::Type* type,
-                        ::llvm::Value** output,
+    bool SafeCastNumber(::llvm::Value* value, ::llvm::Type* type, ::llvm::Value** output,
                         base::Status& status);  // NOLINT
-    bool UnSafeCastNumber(::llvm::Value* value, ::llvm::Type* type,
-                          ::llvm::Value** output,
+    bool UnSafeCastNumber(::llvm::Value* value, ::llvm::Type* type, ::llvm::Value** output,
                           base::Status& status);  // NOLINT
-    bool UnSafeCastDouble(::llvm::Value* value, ::llvm::Type* type,
-                          ::llvm::Value** output,
+    bool UnSafeCastDouble(::llvm::Value* value, ::llvm::Type* type, ::llvm::Value** output,
                           base::Status& status);  // NOLINT
 
  private:
diff --git a/hybridse/src/codegen/date_ir_builder.cc b/hybridse/src/codegen/date_ir_builder.cc
index 3a60147bd9a..19bf319d7c3 100644
--- a/hybridse/src/codegen/date_ir_builder.cc
+++ b/hybridse/src/codegen/date_ir_builder.cc
@@ -45,14 +45,6 @@ void DateIRBuilder::InitStructType() {
     return;
 }
 
-base::Status DateIRBuilder::CreateNull(::llvm::BasicBlock* block, NativeValue* output) {
-    ::llvm::Value* value = nullptr;
-    CHECK_TRUE(CreateDefault(block, &value), common::kCodegenError, "Fail to construct string")
-    ::llvm::IRBuilder<> builder(block);
-    *output = NativeValue::CreateWithFlag(value, builder.getInt1(true));
-    return base::Status::OK();
-}
-
 bool DateIRBuilder::CreateDefault(::llvm::BasicBlock* block,
                                   ::llvm::Value** output) {
     return NewDate(block, output);
diff --git a/hybridse/src/codegen/date_ir_builder.h b/hybridse/src/codegen/date_ir_builder.h
index b44b039d57d..d9004d48da1 100644
--- a/hybridse/src/codegen/date_ir_builder.h
+++ b/hybridse/src/codegen/date_ir_builder.h
@@ -27,16 +27,14 @@ class DateIRBuilder : public StructTypeIRBuilder {
  public:
     explicit DateIRBuilder(::llvm::Module* m);
     ~DateIRBuilder();
-    void InitStructType() override;
 
-    base::Status CreateNull(::llvm::BasicBlock* block, NativeValue* output);
+    void InitStructType() override;
     bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output) override;
+    bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value* dist) override;
+    base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src, NativeValue* output) override;
 
     bool NewDate(::llvm::BasicBlock* block, ::llvm::Value** output);
-    bool NewDate(::llvm::BasicBlock* block, ::llvm::Value* date,
-                 ::llvm::Value** output);
-    bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value* dist);
-    base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src, NativeValue* output);
+    bool NewDate(::llvm::BasicBlock* block, ::llvm::Value* date, ::llvm::Value** output);
 
     bool GetDate(::llvm::BasicBlock* block, ::llvm::Value* date,
                  ::llvm::Value** output);
diff --git a/hybridse/src/codegen/expr_ir_builder.cc b/hybridse/src/codegen/expr_ir_builder.cc
index 1bccb6deef3..6b95bfb8ce1 100644
--- a/hybridse/src/codegen/expr_ir_builder.cc
+++ b/hybridse/src/codegen/expr_ir_builder.cc
@@ -26,10 +26,8 @@
 #include "codegen/cond_select_ir_builder.h"
 #include "codegen/context.h"
 #include "codegen/date_ir_builder.h"
-#include "codegen/fn_ir_builder.h"
 #include "codegen/ir_base_builder.h"
 #include "codegen/list_ir_builder.h"
-#include "codegen/struct_ir_builder.h"
 #include "codegen/timestamp_ir_builder.h"
 #include "codegen/type_ir_builder.h"
 #include "codegen/udf_ir_builder.h"
@@ -217,8 +215,7 @@ Status ExprIRBuilder::BuildConstExpr(
     ::llvm::IRBuilder<> builder(ctx_->GetCurrentBlock());
     switch (const_node->GetDataType()) {
         case ::hybridse::node::kNull: {
-            *output = NativeValue::CreateNull(
-                llvm::Type::getTokenTy(builder.getContext()));
+            *output = NativeValue(nullptr, nullptr, llvm::Type::getTokenTy(builder.getContext()));
             break;
         }
         case ::hybridse::node::kBool: {
diff --git a/hybridse/src/codegen/ir_base_builder.cc b/hybridse/src/codegen/ir_base_builder.cc
index d1c7e153dd6..992d41d0998 100644
--- a/hybridse/src/codegen/ir_base_builder.cc
+++ b/hybridse/src/codegen/ir_base_builder.cc
@@ -17,7 +17,6 @@
 #include "codegen/ir_base_builder.h"
 
 #include <string>
-#include <tuple>
 #include <utility>
 #include <vector>
 
@@ -625,21 +624,25 @@ bool GetBaseType(::llvm::Type* type, ::hybridse::node::DataType* output) {
                 return false;
             }
 
-            if (pointee_ty->getStructName().startswith("fe.list_ref_")) {
+            auto struct_name = pointee_ty->getStructName();
+            if (struct_name.startswith("fe.list_ref_")) {
                 *output = hybridse::node::kList;
                 return true;
-            } else if (pointee_ty->getStructName().startswith("fe.iterator_ref_")) {
+            } else if (struct_name.startswith("fe.iterator_ref_")) {
                 *output = hybridse::node::kIterator;
                 return true;
-            } else if (pointee_ty->getStructName().equals("fe.string_ref")) {
+            } else if (struct_name.equals("fe.string_ref")) {
                 *output = hybridse::node::kVarchar;
                 return true;
-            } else if (pointee_ty->getStructName().equals("fe.timestamp")) {
+            } else if (struct_name.equals("fe.timestamp")) {
                 *output = hybridse::node::kTimestamp;
                 return true;
-            } else if (pointee_ty->getStructName().equals("fe.date")) {
+            } else if (struct_name.equals("fe.date")) {
                 *output = hybridse::node::kDate;
                 return true;
+            } else if (struct_name.startswith("fe.array_")) {
+                *output = hybridse::node::kArray;
+                return true;
             }
             LOG(WARNING) << "no mapping pointee_ty for llvm pointee_ty "
                          << pointee_ty->getStructName().str();
diff --git a/hybridse/src/codegen/native_value.h b/hybridse/src/codegen/native_value.h
index 52b0453c743..4bb756e3c3b 100644
--- a/hybridse/src/codegen/native_value.h
+++ b/hybridse/src/codegen/native_value.h
@@ -21,9 +21,7 @@
 #include <utility>
 #include <vector>
 
-#include "glog/logging.h"
 #include "llvm/IR/IRBuilder.h"
-#include "llvm/IR/Module.h"
 
 namespace hybridse {
 namespace codegen {
@@ -93,9 +91,9 @@ class NativeValue {
     NativeValue WithFlag(::llvm::Value*) const;
 
     NativeValue() : raw_(nullptr), flag_(nullptr), type_(nullptr) {}
+    NativeValue(::llvm::Value* raw, ::llvm::Value* flag, ::llvm::Type* type);
 
  private:
-    NativeValue(::llvm::Value* raw, ::llvm::Value* flag, ::llvm::Type* type);
     ::llvm::Value* raw_;
     ::llvm::Value* flag_;
     ::llvm::Type* type_;
diff --git a/hybridse/src/codegen/string_ir_builder.cc b/hybridse/src/codegen/string_ir_builder.cc
index bb69f529f2b..8c41d326ee0 100644
--- a/hybridse/src/codegen/string_ir_builder.cc
+++ b/hybridse/src/codegen/string_ir_builder.cc
@@ -63,17 +63,7 @@ bool StringIRBuilder::CreateDefault(::llvm::BasicBlock* block,
                                     ::llvm::Value** output) {
     return NewString(block, output);
 }
-/// Create Const String Null
-/// \param block
-/// \param output
-/// \return
-base::Status StringIRBuilder::CreateNull(::llvm::BasicBlock* block, NativeValue* output) {
-    ::llvm::Value* value = nullptr;
-    CHECK_TRUE(NewString(block, &value), kCodegenError, "Fail to construct string")
-    ::llvm::IRBuilder<> builder(block);
-    *output = NativeValue::CreateWithFlag(value, builder.getInt1(true));
-    return base::Status::OK();
-}
+
 bool StringIRBuilder::NewString(::llvm::BasicBlock* block,
                                 ::llvm::Value** output) {
     if (!Create(block, output)) {
diff --git a/hybridse/src/codegen/string_ir_builder.h b/hybridse/src/codegen/string_ir_builder.h
index fb81872599a..84f73d2822d 100644
--- a/hybridse/src/codegen/string_ir_builder.h
+++ b/hybridse/src/codegen/string_ir_builder.h
@@ -16,14 +16,12 @@
 
 #ifndef HYBRIDSE_SRC_CODEGEN_STRING_IR_BUILDER_H_
 #define HYBRIDSE_SRC_CODEGEN_STRING_IR_BUILDER_H_
+
 #include <string>
 #include <vector>
+
 #include "base/fe_status.h"
-#include "codegen/cast_expr_ir_builder.h"
-#include "codegen/scope_var.h"
 #include "codegen/struct_ir_builder.h"
-#include "llvm/IR/IRBuilder.h"
-#include "proto/fe_type.pb.h"
 
 namespace hybridse {
 namespace codegen {
@@ -32,16 +30,18 @@ class StringIRBuilder : public StructTypeIRBuilder {
  public:
     explicit StringIRBuilder(::llvm::Module* m);
     ~StringIRBuilder();
+
     void InitStructType() override;
-    bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output);
-    base::Status CreateNull(::llvm::BasicBlock* block, NativeValue* output);
+    bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output) override;
+    bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value* dist) override;
+    base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src, NativeValue* output) override;
+    base::Status CastFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value** output);
+
     bool NewString(::llvm::BasicBlock* block, ::llvm::Value** output);
     bool NewString(::llvm::BasicBlock* block, const std::string& str,
                    ::llvm::Value** output);
     bool NewString(::llvm::BasicBlock* block, ::llvm::Value* size,
                    ::llvm::Value* data, ::llvm::Value** output);
-    bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src,
-                  ::llvm::Value* dist);
     bool GetSize(::llvm::BasicBlock* block, ::llvm::Value* str,
                  ::llvm::Value** output);
     bool SetSize(::llvm::BasicBlock* block, ::llvm::Value* str,
@@ -50,8 +50,6 @@ class StringIRBuilder : public StructTypeIRBuilder {
                  ::llvm::Value** output);
     bool SetData(::llvm::BasicBlock* block, ::llvm::Value* str,
                  ::llvm::Value* data);
-    base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src,
-                          NativeValue* output);
 
     base::Status Compare(::llvm::BasicBlock* block, const NativeValue& s1,
                          const NativeValue& s2, NativeValue* output);
@@ -62,8 +60,6 @@ class StringIRBuilder : public StructTypeIRBuilder {
                           const std::vector<NativeValue>& strs,
                           NativeValue* output);
 
-    base::Status CastFrom(::llvm::BasicBlock* block, ::llvm::Value* src,
-                          ::llvm::Value** output);
     base::Status CastToNumber(::llvm::BasicBlock* block, const NativeValue& src,
                               ::llvm::Type* type, NativeValue* output);
 };
diff --git a/hybridse/src/codegen/struct_ir_builder.cc b/hybridse/src/codegen/struct_ir_builder.cc
index 3a8e3336936..7adfb5d950f 100644
--- a/hybridse/src/codegen/struct_ir_builder.cc
+++ b/hybridse/src/codegen/struct_ir_builder.cc
@@ -25,17 +25,14 @@ StructTypeIRBuilder::StructTypeIRBuilder(::llvm::Module* m)
     : TypeIRBuilder(), m_(m), struct_type_(nullptr) {}
 StructTypeIRBuilder::~StructTypeIRBuilder() {}
 
-bool StructTypeIRBuilder::StructCopyFrom(::llvm::BasicBlock* block,
-                                         ::llvm::Value* src,
-                                         ::llvm::Value* dist) {
-    StructTypeIRBuilder* struct_builder =
-        CreateStructTypeIRBuilder(block->getModule(), src->getType());
+bool StructTypeIRBuilder::StructCopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value* dist) {
+    StructTypeIRBuilder* struct_builder = CreateStructTypeIRBuilder(block->getModule(), src->getType());
     bool ok = struct_builder->CopyFrom(block, src, dist);
     delete struct_builder;
     return ok;
 }
-StructTypeIRBuilder* StructTypeIRBuilder::CreateStructTypeIRBuilder(
-    ::llvm::Module* m, ::llvm::Type* type) {
+
+StructTypeIRBuilder* StructTypeIRBuilder::CreateStructTypeIRBuilder(::llvm::Module* m, ::llvm::Type* type) {
     node::DataType base_type;
     if (!GetBaseType(type, &base_type)) {
         return nullptr;
@@ -49,14 +46,24 @@ StructTypeIRBuilder* StructTypeIRBuilder::CreateStructTypeIRBuilder(
         case node::kVarchar:
             return new StringIRBuilder(m);
         default: {
-            LOG(WARNING) << "fail to create struct type ir builder for "
-                         << DataTypeName(base_type);
+            LOG(WARNING) << "fail to create struct type ir builder for " << DataTypeName(base_type);
             return nullptr;
         }
     }
     return nullptr;
 }
+
+absl::StatusOr<NativeValue> StructTypeIRBuilder::CreateNull(::llvm::BasicBlock* block) {
+    ::llvm::Value* value = nullptr;
+    if (!CreateDefault(block, &value)) {
+        return absl::InternalError(absl::StrCat("fail to construct ", GetLlvmObjectString(GetType())));
+    }
+    ::llvm::IRBuilder<> builder(block);
+    return NativeValue::CreateWithFlag(value, builder.getInt1(true));
+}
+
 ::llvm::Type* StructTypeIRBuilder::GetType() { return struct_type_; }
+
 bool StructTypeIRBuilder::Create(::llvm::BasicBlock* block,
                                  ::llvm::Value** output) const {
     if (block == NULL || output == NULL) {
diff --git a/hybridse/src/codegen/struct_ir_builder.h b/hybridse/src/codegen/struct_ir_builder.h
index e306dfe869e..e197665855b 100644
--- a/hybridse/src/codegen/struct_ir_builder.h
+++ b/hybridse/src/codegen/struct_ir_builder.h
@@ -17,6 +17,7 @@
 #ifndef HYBRIDSE_SRC_CODEGEN_STRUCT_IR_BUILDER_H_
 #define HYBRIDSE_SRC_CODEGEN_STRUCT_IR_BUILDER_H_
 
+#include "absl/status/statusor.h"
 #include "base/fe_status.h"
 #include "codegen/native_value.h"
 #include "codegen/type_ir_builder.h"
@@ -28,15 +29,18 @@ class StructTypeIRBuilder : public TypeIRBuilder {
  public:
     explicit StructTypeIRBuilder(::llvm::Module*);
     ~StructTypeIRBuilder();
-    static StructTypeIRBuilder* CreateStructTypeIRBuilder(::llvm::Module*,
-                                                          ::llvm::Type*);
-    static bool StructCopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src,
-                               ::llvm::Value* dist);
+
+    static StructTypeIRBuilder* CreateStructTypeIRBuilder(::llvm::Module*, ::llvm::Type*);
+    static bool StructCopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value* dist);
+
     virtual void InitStructType() = 0;
+    virtual bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src, ::llvm::Value* dist) = 0;
+    virtual base::Status CastFrom(::llvm::BasicBlock* block, const NativeValue& src, NativeValue* output) = 0;
+    virtual bool CreateDefault(::llvm::BasicBlock* block, ::llvm::Value** output) = 0;
+
+    absl::StatusOr<NativeValue> CreateNull(::llvm::BasicBlock* block);
     ::llvm::Type* GetType();
     bool Create(::llvm::BasicBlock* block, ::llvm::Value** output) const;
-    virtual bool CreateDefault(::llvm::BasicBlock* block,
-                               ::llvm::Value** output) = 0;
 
     // Load the 'idx' th field into ''*output'
     // NOTE: not all types are loaded correctly, e.g for array type
@@ -46,12 +50,6 @@ class StructTypeIRBuilder : public TypeIRBuilder {
     // Get the address of 'idx' th field
     bool Get(::llvm::BasicBlock* block, ::llvm::Value* struct_value, unsigned int idx, ::llvm::Value** output) const;
 
-    virtual bool CopyFrom(::llvm::BasicBlock* block, ::llvm::Value* src,
-                          ::llvm::Value* dist) = 0;
-    virtual base::Status CastFrom(::llvm::BasicBlock* block,
-                                  const NativeValue& src,
-                                  NativeValue* output) = 0;
-
  protected:
     ::llvm::Module* m_;
     ::llvm::Type* struct_type_;
diff --git a/hybridse/src/codegen/timestamp_ir_builder.cc b/hybridse/src/codegen/timestamp_ir_builder.cc
index f14952f455c..c3a8054e1cd 100644
--- a/hybridse/src/codegen/timestamp_ir_builder.cc
+++ b/hybridse/src/codegen/timestamp_ir_builder.cc
@@ -44,9 +44,7 @@ void TimestampIRBuilder::InitStructType() {
         return;
     }
     stype = ::llvm::StructType::create(m_->getContext(), name);
-    ::llvm::Type* ts_ty = (::llvm::Type::getInt64Ty(m_->getContext()));
-    std::vector<::llvm::Type*> elements;
-    elements.push_back(ts_ty);
+    std::vector<::llvm::Type*> elements = {::llvm::Type::getInt64Ty(m_->getContext())};
     stype->setBody(::llvm::ArrayRef<::llvm::Type*>(elements));
     struct_type_ = stype;
     return;
@@ -61,10 +59,6 @@ base::Status TimestampIRBuilder::CastFrom(::llvm::BasicBlock* block,
         return Status::OK();
     }
 
-    if (src.IsConstNull()) {
-        *output = NativeValue::CreateNull(GetType());
-        return Status::OK();
-    }
     ::llvm::IRBuilder<> builder(block);
     NativeValue ts;
     CastExprIRBuilder cast_builder(block);
diff --git a/hybridse/src/codegen/type_ir_builder.cc b/hybridse/src/codegen/type_ir_builder.cc
index bbdf1346995..07adfb21855 100644
--- a/hybridse/src/codegen/type_ir_builder.cc
+++ b/hybridse/src/codegen/type_ir_builder.cc
@@ -16,8 +16,11 @@
 
 #include "codegen/type_ir_builder.h"
 
+#include "absl/status/status.h"
+#include "codegen/date_ir_builder.h"
 #include "codegen/ir_base_builder.h"
-#include "glog/logging.h"
+#include "codegen/string_ir_builder.h"
+#include "codegen/timestamp_ir_builder.h"
 #include "node/node_manager.h"
 
 namespace hybridse {
@@ -102,13 +105,7 @@ bool TypeIRBuilder::IsStringPtr(::llvm::Type* type) {
 bool TypeIRBuilder::IsStructPtr(::llvm::Type* type) {
     if (type->getTypeID() == ::llvm::Type::PointerTyID) {
         type = reinterpret_cast<::llvm::PointerType*>(type)->getElementType();
-        if (type->isStructTy()) {
-            DLOG(INFO) << "Struct Name " << type->getStructName().str();
-            return true;
-        } else {
-            DLOG(INFO) << "Isn't Struct Type";
-            return false;
-        }
+        return type->isStructTy();
     }
     return false;
 }
@@ -139,5 +136,37 @@ base::Status TypeIRBuilder::BinaryOpTypeInfer(
     return base::Status::OK();
 }
 
+absl::StatusOr<NativeValue> CreateSafeNull(::llvm::BasicBlock* block, ::llvm::Type* type) {
+    node::DataType data_type;
+    if (!GetBaseType(type, &data_type)) {
+        return absl::InvalidArgumentError(absl::StrCat("can't get base type for: ", GetLlvmObjectString(type)));
+    }
+
+    if (TypeIRBuilder::IsStructPtr(type)) {
+        std::unique_ptr<StructTypeIRBuilder> builder = nullptr;
+
+        switch (data_type) {
+            case node::DataType::kTimestamp: {
+                builder.reset(new TimestampIRBuilder(block->getModule()));
+                break;
+            }
+            case node::DataType::kDate: {
+                builder.reset(new DateIRBuilder(block->getModule()));
+                break;
+            }
+            case node::DataType::kVarchar: {
+                builder.reset(new StringIRBuilder(block->getModule()));
+                break;
+            }
+            default:
+                return absl::InvalidArgumentError(absl::StrCat("invalid struct type: ", GetLlvmObjectString(type)));
+        }
+
+        return builder->CreateNull(block);
+    }
+
+    return NativeValue(nullptr, nullptr, type);
+}
+
 }  // namespace codegen
 }  // namespace hybridse
diff --git a/hybridse/src/codegen/type_ir_builder.h b/hybridse/src/codegen/type_ir_builder.h
index ad7d5f225b9..e68d7f0233b 100644
--- a/hybridse/src/codegen/type_ir_builder.h
+++ b/hybridse/src/codegen/type_ir_builder.h
@@ -19,7 +19,9 @@
 
 #include <string>
 
+#include "absl/status/statusor.h"
 #include "base/fe_status.h"
+#include "codegen/native_value.h"
 #include "llvm/IR/Module.h"
 #include "llvm/IR/Type.h"
 #include "node/sql_node.h"
@@ -90,6 +92,10 @@ class BoolIRBuilder : public TypeIRBuilder {
     }
 };
 
+// construct a safe null value for type
+// returns NativeValue{raw, is_null=true} on success, raw is ensured to be not nullptr
+absl::StatusOr<NativeValue> CreateSafeNull(::llvm::BasicBlock* block, ::llvm::Type* type);
+
 }  // namespace codegen
 }  // namespace hybridse
 #endif  // HYBRIDSE_SRC_CODEGEN_TYPE_IR_BUILDER_H_
diff --git a/hybridse/src/udf/default_udf_library.cc b/hybridse/src/udf/default_udf_library.cc
index fef776d3ffd..e6a546095ec 100644
--- a/hybridse/src/udf/default_udf_library.cc
+++ b/hybridse/src/udf/default_udf_library.cc
@@ -2190,11 +2190,7 @@ void DefaultUdfLibrary::InitTypeUdf() {
         .args<StringRef>(v1::string_to_date);
 
     RegisterExternal("timestamp")
-        .args<Date>(reinterpret_cast<void*>(
-            static_cast<void (*)(Date*, Timestamp*, bool*)>(
-                v1::date_to_timestamp)))
-        .return_by_arg(true)
-        .returns<Nullable<Timestamp>>()
+        .args<Date>(v1::date_to_timestamp)
         .doc(R"(
             @brief Cast int64, date or string expression to timestamp
 
@@ -2217,11 +2213,7 @@ void DefaultUdfLibrary::InitTypeUdf() {
             @endcode
             @since 0.1.0)");
     RegisterExternal("timestamp")
-        .args<StringRef>(reinterpret_cast<void*>(
-            static_cast<void (*)(StringRef*, Timestamp*, bool*)>(
-                v1::string_to_timestamp)))
-        .return_by_arg(true)
-        .returns<Nullable<Timestamp>>();
+        .args<StringRef>(v1::string_to_timestamp);
 }
 
 void DefaultUdfLibrary::InitTimeAndDateUdf() {

From 5c6b40c6c0d02cbc2164ceec34d2e91f8a896fba Mon Sep 17 00:00:00 2001
From: aceforeverd <teapot@aceforeverd.com>
Date: Fri, 27 Oct 2023 11:16:53 +0800
Subject: [PATCH 09/27] build: upgrade thirdparty to 0.6.0 (#3557)

* build: upgrade thirdparty to 0.6.0

* fix: dockerfile

* fix(single_tablet_test): pure virtual method call called
---
 Makefile                          | 44 +++++++++++++++++++------------
 docker/Dockerfile                 |  6 ++---
 src/nameserver/name_server_impl.h |  7 ++++-
 src/sdk/mini_cluster.h            | 10 ++++---
 third-party/CMakeLists.txt        |  8 +++---
 5 files changed, 45 insertions(+), 30 deletions(-)

diff --git a/Makefile b/Makefile
index 697b12923af..bf6c95054dd 100644
--- a/Makefile
+++ b/Makefile
@@ -139,29 +139,39 @@ THIRD_PARTY_BUILD_DIR ?= $(MAKEFILE_DIR)/.deps
 THIRD_PARTY_SRC_DIR ?= $(MAKEFILE_DIR)/thirdsrc
 THIRD_PARTY_DIR ?= $(THIRD_PARTY_BUILD_DIR)/usr
 
-# trick: for those compile inside hybridsql docker image, thirdparty is pre-installed in /deps/usr.
-#  we check this by asserting if the environment variable '$THIRD_PARTY_DIR' is defined to '/deps/usr',
-#  if true, thirdparty download is skipped
-# zetasql check separately since it update more frequently:
-#  it will updated if the variable '$ZETASQL_VERSION' (defined in docker) not equal to that defined in current code
-override GREP_PATTERN = "set(ZETASQL_VERSION"
+override ZETASQL_PATTERN = "set(ZETASQL_VERSION"
+override THIRD_PATTERN = "set(HYBRIDSQL_ASSERTS_VERSION"
+new_zetasql_version := $(shell grep $(ZETASQL_PATTERN) third-party/cmake/FetchZetasql.cmake | sed 's/[^0-9.]*\([0-9.]*\).*/\1/')
+new_third_version := $(shell grep $(THIRD_PATTERN) third-party/CMakeLists.txt | sed 's/[^0-9.]*\([0-9.]*\).*/\1/')
+
 thirdparty-fast:
 	@if [ $(THIRD_PARTY_DIR) != "/deps/usr" ] ; then \
 	    echo "[deps]: install thirdparty and zetasql"; \
 	    $(MAKE) thirdparty; \
-	elif [ -n "$(ZETASQL_VERSION)" ]; then \
-	    new_zetasql_version=$(shell grep $(GREP_PATTERN) third-party/cmake/FetchZetasql.cmake | sed 's/[^0-9.]*\([0-9.]*\).*/\1/'); \
-	    if [ "$$new_zetasql_version" != "$(ZETASQL_VERSION)" ] ; then \
-		echo "[deps]: thirdparty up-to-date. reinstall zetasql from $(ZETASQL_VERSION) to $$new_zetasql_version"; \
-		$(MAKE) thirdparty-configure; \
-		$(CMAKE_PRG) --build $(THIRD_PARTY_BUILD_DIR) --target zetasql; \
-	    else \
-		echo "[deps]: all up-to-date. zetasql already installed with version: $(ZETASQL_VERSION)"; \
-	    fi; \
 	else \
-	    echo "[deps]: install zetasql only"; \
 	    $(MAKE) thirdparty-configure; \
-	    $(CMAKE_PRG) --build $(THIRD_PARTY_BUILD_DIR) --target zetasql; \
+	    if [ -n "$(ZETASQL_VERSION)" ] ; then \
+		if [ "$(new_zetasql_version)" != "$(ZETASQL_VERSION)" ] ; then \
+		    echo "[deps]: installing zetasql from $(ZETASQL_VERSION) to $(new_zetasql_version)"; \
+		    $(CMAKE_PRG) --build $(THIRD_PARTY_BUILD_DIR) --target zetasql; \
+		else \
+		    echo "[deps]: zetasql up-to-date with version: $(ZETASQL_VERSION)"; \
+		fi; \
+	    else \
+		echo "[deps]: installing latest zetasql"; \
+		$(CMAKE_PRG) --build $(THIRD_PARTY_BUILD_DIR) --target zetasql; \
+	    fi;  \
+	    if [ -n "$(THIRDPARTY_VERSION)" ]; then \
+		if [ "$(new_third_version)" != "$(THIRDPARTY_VERSION)" ] ; then \
+		    echo "[deps]: installing thirdparty from $(THIRDPARTY_VERSION) to $(new_third_version)"; \
+		    $(CMAKE_PRG) --build $(THIRD_PARTY_BUILD_DIR) --target hybridsql-asserts; \
+		else \
+		    echo "[deps]: thirdparty up-to-date: $(THIRDPARTY_VERSION)"; \
+		fi ; \
+	    else \
+		echo "[deps]: installing latest thirdparty"; \
+		$(CMAKE_PRG) --build $(THIRD_PARTY_BUILD_DIR) --target hybridsql-asserts; \
+	    fi ; \
 	fi
 
 # third party compiled code install to 'OpenMLDB/.deps/usr', source code install to 'OpenMLDB/thirdsrc'
diff --git a/docker/Dockerfile b/docker/Dockerfile
index d478a84d87f..9faef4db550 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -15,8 +15,8 @@
 
 FROM centos:7
 
-ARG ZETASQL_VERSION=0.3.0
-ARG THIRDPARTY_VERSION=0.5.2
+ARG ZETASQL_VERSION=0.3.1
+ARG THIRDPARTY_VERSION=0.6.0
 ARG TARGETARCH
 
 LABEL org.opencontainers.image.source https://github.com/4paradigm/OpenMLDB
@@ -28,8 +28,6 @@ RUN yum update -y && yum install -y centos-release-scl epel-release && \
     curl -Lo lcov-1.15-1.noarch.rpm https://github.com/linux-test-project/lcov/releases/download/v1.15/lcov-1.15-1.noarch.rpm && \
     yum localinstall -y lcov-1.15-1.noarch.rpm && \
     yum clean all && rm -v lcov-1.15-1.noarch.rpm && \
-    curl -Lo apache-maven-3.6.3-bin.tar.gz https://mirrors.ocf.berkeley.edu/apache/maven/maven-3/3.6.3/binaries/apache-maven-3.6.3-bin.tar.gz && \
-    tar xzf apache-maven-3.6.3-bin.tar.gz -C /usr/local --strip-components=1 && \
     curl -Lo zookeeper.tar.gz https://archive.apache.org/dist/zookeeper/zookeeper-3.4.14/zookeeper-3.4.14.tar.gz && \
     mkdir -p /deps/src && \
     tar xzf zookeeper.tar.gz -C /deps/src && \
diff --git a/src/nameserver/name_server_impl.h b/src/nameserver/name_server_impl.h
index 4bfe84ad5f4..b9755c4aa1c 100644
--- a/src/nameserver/name_server_impl.h
+++ b/src/nameserver/name_server_impl.h
@@ -111,7 +111,12 @@ class NameServerImpl : public NameServer {
     NameServerImpl();
 
     ~NameServerImpl() override;
-
+    void CloseThreadpool() {
+        running_.store(false, std::memory_order_release);
+        thread_pool_.Stop(true);
+        task_thread_pool_.Stop(true);
+        UpdateTableStatus();
+    }
     bool Init(const std::string& real_endpoint);
     bool Init(const std::string& zk_cluster, const std::string& zk_path, const std::string& endpoint,
               const std::string& real_endpoint);
diff --git a/src/sdk/mini_cluster.h b/src/sdk/mini_cluster.h
index 321df05b761..439a311f243 100644
--- a/src/sdk/mini_cluster.h
+++ b/src/sdk/mini_cluster.h
@@ -105,7 +105,7 @@ class MiniCluster {
             }
         }
         sleep(4);
-        ::openmldb::nameserver::NameServerImpl* nameserver = new ::openmldb::nameserver::NameServerImpl();
+        nameserver = new ::openmldb::nameserver::NameServerImpl();
         bool ok = nameserver->Init(zk_cluster_, zk_path_, ns_endpoint, "");
         if (!ok) {
             return false;
@@ -135,6 +135,7 @@ class MiniCluster {
     }
 
     void Close() {
+        nameserver->CloseThreadpool();
         ns_.Stop(10);
         ns_.Join();
 
@@ -207,7 +208,7 @@ class MiniCluster {
         tb_clients_.emplace(tb_endpoint, client);
         return true;
     }
-
+    ::openmldb::nameserver::NameServerImpl* nameserver;
     int32_t zk_port_;
     brpc::Server ns_;
     int32_t tablet_num_;
@@ -250,7 +251,7 @@ class StandaloneEnv {
         FLAGS_sync_deploy_stats_timeout = 2000;
         ns_port_ = GenRand();
         std::string ns_endpoint = "127.0.0.1:" + std::to_string(ns_port_);
-        ::openmldb::nameserver::NameServerImpl* nameserver = new ::openmldb::nameserver::NameServerImpl();
+        nameserver = new ::openmldb::nameserver::NameServerImpl();
         bool ok = nameserver->Init("", "", ns_endpoint, "");
         if (!ok) {
             return false;
@@ -278,6 +279,7 @@ class StandaloneEnv {
     }
 
     void Close() {
+        nameserver->CloseThreadpool();
         ns_.Stop(10);
         ns_.Join();
         tb_server_.Stop(10);
@@ -323,7 +325,7 @@ class StandaloneEnv {
         tb_client_ = client;
         return true;
     }
-
+    ::openmldb::nameserver::NameServerImpl* nameserver;
     brpc::Server ns_;
     brpc::Server tb_server_;
     std::string ns_endpoint_;
diff --git a/third-party/CMakeLists.txt b/third-party/CMakeLists.txt
index 88fc0a877dc..6a7f8cb0e07 100644
--- a/third-party/CMakeLists.txt
+++ b/third-party/CMakeLists.txt
@@ -68,7 +68,7 @@ set(MAKEOPTS "$ENV{MAKEOPTS}" CACHE STRING "Extra options to make")
 message(STATUS "Install bundled dependencies into ${DEPS_INSTALL_DIR}")
 
 set(HYBRIDSQL_ASSERTS_HOME https://github.com/4paradigm/hybridsql-asserts)
-set(HYBRIDSQL_ASSERTS_VERSION 0.5.2)
+set(HYBRIDSQL_ASSERTS_VERSION 0.6.0)
 
 function(get_linux_lsb_release_information)
   execute_process(COMMAND bash ${CMAKE_SOURCE_DIR}/get-lsb-release.sh
@@ -90,17 +90,17 @@ function(init_hybridsql_thirdparty_urls)
     else()
       if (LSB_RELEASE_ID_SHORT STREQUAL "centos")
         set(HYBRIDSQL_ASSERTS_URL "${HYBRIDSQL_ASSERTS_HOME}/releases/download/v${HYBRIDSQL_ASSERTS_VERSION}/thirdparty-${HYBRIDSQL_ASSERTS_VERSION}-linux-gnu-x86_64-centos.tar.gz" PARENT_SCOPE)
-        set(HYBRIDSQL_ASSERTS_HASH 919ee7aee4c89846f4e242530519b3c34a34567ddcf9f4361d413a44e2f7408c PARENT_SCOPE)
+        set(HYBRIDSQL_ASSERTS_HASH c415dfdc95a127cdce888aec84c7fa3c02f3c9cb973805dcf23b54517e422e36 PARENT_SCOPE)
       elseif(LSB_RELEASE_ID_SHORT STREQUAL "ubuntu")
         set(HYBRIDSQL_ASSERTS_URL "${HYBRIDSQL_ASSERTS_HOME}/releases/download/v${HYBRIDSQL_ASSERTS_VERSION}/thirdparty-${HYBRIDSQL_ASSERTS_VERSION}-linux-gnu-x86_64-ubuntu.tar.gz" PARENT_SCOPE)
-        set(HYBRIDSQL_ASSERTS_HASH 8bb1f7685bf778539e1f4ba499020504ebc89e8cefa9a294aa0122578ca70716 PARENT_SCOPE)
+        set(HYBRIDSQL_ASSERTS_HASH 8c95b5fd539c8362d934ae58879d9ae1c27bc0977ca09cc8316ba207e8aaaf1e PARENT_SCOPE)
       else()
         message(FATAL_ERROR "no pre-compiled thirdparty for your operation system, try compile thirdparty from source with '-DBUILD_BUNDLED=ON'")
       endif()
     endif()
   elseif(CMAKE_SYSTEM_NAME STREQUAL "Darwin")
     set(HYBRIDSQL_ASSERTS_URL "${HYBRIDSQL_ASSERTS_HOME}/releases/download/v${HYBRIDSQL_ASSERTS_VERSION}/thirdparty-${HYBRIDSQL_ASSERTS_VERSION}-darwin-i386.tar.gz" PARENT_SCOPE)
-    set(HYBRIDSQL_ASSERTS_HASH 663b0d945c95034b1e17411f3e795f98053bf248860a60025c7802634ce526d8 PARENT_SCOPE)
+    set(HYBRIDSQL_ASSERTS_HASH 062e606f1d76fe27003bdc23e643305bfa032eadec8c075e7ce6dc22d70f5044 PARENT_SCOPE)
   endif()
 endfunction()
 

From 4f49313490ed99e6a0124fd8798fa0ba9457ef8b Mon Sep 17 00:00:00 2001
From: TanZiYen <104113819+TanZiYen@users.noreply.github.com>
Date: Tue, 31 Oct 2023 16:48:40 +0800
Subject: [PATCH 10/27] docs: update-quickstart-concepts-folder (#3536)

* Docs: Update-quickstart-concepts-folder

* Docs: update-quickstart-concepts-index-file

* Delete docs/en/quickstart/concepts/images/desktop.ini

* Update modes.md

* Delete modes-request.png

* Update modes.md

* Docs: Update-quickstart-concept-modesflow-image

* Docs: Update-quickstart-concept-modesflow-image

---------

Co-authored-by: Siqi Wang <sqwang9999@gmail.com>
---
 .../quickstart/concepts/images/modes-flow.png | Bin 333650 -> 301508 bytes
 docs/en/quickstart/concepts/index.rst         |   2 +-
 .../concepts/{workflow.md => modes.md}        |  45 ++++++++----------
 3 files changed, 22 insertions(+), 25 deletions(-)
 rename docs/en/quickstart/concepts/{workflow.md => modes.md} (79%)

diff --git a/docs/en/quickstart/concepts/images/modes-flow.png b/docs/en/quickstart/concepts/images/modes-flow.png
index c4856e6a5f95c9e988d528fb09ecea7d581cbfaf..361353de760bcd219127b9fc56dba22040157acc 100644
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diff --git a/docs/en/quickstart/concepts/index.rst b/docs/en/quickstart/concepts/index.rst
index d02cca2378f..27542f7f2f7 100644
--- a/docs/en/quickstart/concepts/index.rst
+++ b/docs/en/quickstart/concepts/index.rst
@@ -5,4 +5,4 @@ Concept
 .. toctree::
     :maxdepth: 1
 
-    workflow
+    modes
diff --git a/docs/en/quickstart/concepts/workflow.md b/docs/en/quickstart/concepts/modes.md
similarity index 79%
rename from docs/en/quickstart/concepts/workflow.md
rename to docs/en/quickstart/concepts/modes.md
index 2ce5c58ff19..d27f33ab001 100644
--- a/docs/en/quickstart/concepts/workflow.md
+++ b/docs/en/quickstart/concepts/modes.md
@@ -6,7 +6,7 @@ OpenMLDB supports different execution modes at different stages of the feature e
 
 The following diagram illustrates the typical process of using OpenMLDB for feature engineering development and deployment, as well as the execution modes used in the process:
 
-![image-20220310170024349](https://openmldb.ai/docs/zh/main/_images/modes-flow.png)
+![image-20220310170024349](images/modes-flow.png)
 
 1. Offline Data Import: Import offline data for offline feature engineering development and debugging.
 2. Offline Feature Development: Develop feature engineering scripts and debug them until satisfactory results are achieved. This step involves joint debugging of machine learning models (such as XGBoost, LightGBM, etc.), but this article mainly focuses on feature engineering development related to OpenMLDB.
@@ -16,57 +16,54 @@ The following diagram illustrates the typical process of using OpenMLDB for feat
 6. Online Data Preview (optional): Preview and check online data using supported SQL commands. This step is not mandatory.
 7. Real-time Feature Calculation: After the feature scheme is deployed and the data is correctly accessed, a real-time feature calculation service that can respond to online requests will be obtained.
 
-## Overview of execution mode
+## Overview of Execution Mode
 
-As the data objects for offline and online scenarios are different, their underlying storage and computing nodes are also different. Therefore, OpenMLDB provides several built-in execution modes to support completing the above steps. The following table summarizes the execution modes and development tools used for each step, and three execution modes will be discussed in detail later.
+As the data objects for offline and online scenarios are different, their underlying storage and computing nodes are also different. Therefore, OpenMLDB provides several built-in execution modes to support the above steps. The following table summarizes the execution modes and development tools used for each step, and three execution modes will be discussed in detail later.
 
 | Steps                          | Execution Mode      | Development Tool                                             |
 | ------------------------------ | ------------------- | ------------------------------------------------------------ |
 | 1. Offline Data Import         | Offline Mode        | OpenMLDB CLI, SDKs                                           |
-| Offline Feature Development    | Offline Mode        | OpenMLDB CLI, SDKs                                           |
-| Feature Deployment             | Offline Mode        | OpenMLDB CLI, SDKs                                           |
-| Cold Start Online Data Import  | Online Preview Mode | OpenMLDB CLI, SDKs, [Data Import Tool](https://openmldb.ai/docs/zh/main/tutorial/data_import.html) |
-| Real-time Data Integration     | Online Preview Mode | Connectors, SDKs                                             |
-| Online Data Preview (optional) | Online Preview Mode | OpenMLDB CLI, SDKs, [Data Export Tool](https://openmldb.ai/docs/zh/main/tutorial/data_export.html) |
-| Real-time Feature Calculation  | Online Request Mode | CLI (REST APIs), SDKs                                        |
+| 2. Offline Feature Development    | Offline Mode        | OpenMLDB CLI, SDKs                                           |
+| 3. Feature Deployment             | Offline Mode        | OpenMLDB CLI, SDKs                                           |
+| 4. Cold Start Online Data Import  | Online Preview Mode | OpenMLDB CLI, SDKs, [Data Import Tool](../../tutorial/data_import.md) |
+| 5. Real-time Data Integration     | Online Preview Mode | Connectors, SDKs                                             |
+| 6. Online Data Preview (optional) | Online Preview Mode | OpenMLDB CLI, SDKs, [Data Export Tool](../../tutorial/data_export.md) |
+| 7. Real-time Feature Calculation  | Online Request Mode | CLI (REST APIs), SDKs                                        |
 
 ### Offline Mode
 
-After starting OpenMLDB CLI, the **default mode is offline mode**. Offline data import, offline feature development, and feature deployment are all executed in offline mode. The purpose of offline mode is to manage and compute offline data. The computing nodes involved are supported by OpenMLDB Spark optimized for feature engineering, and the storage nodes support commonly used storage systems such as HDFS.
+After starting OpenMLDB CLI, the **default mode is offline mode**. Offline data import, offline feature development, and feature deployment are all executed in offline mode. The purpose of offline mode is to manage and compute offline data. The computing nodes involved are supported by [OpenMLDB Spark Distribution](../../tutorial/openmldbspark_distribution.md) optimized for feature engineering, and the storage nodes support commonly used storage systems such as HDFS.
 
 Offline mode has the following main features:
 
-- The offline mode supports most of the SQL syntax provided by OpenMLDB, including complex SQL syntaxes such as `LAST JOIN` and `WINDOW UNION`, which are optimized for feature engineering.
-
-- In offline mode, some SQL commands are executed asynchronously, such as `LOAD DATA`, `SELECT`, and `SELECT INTO` commands. Other SQL commands are executed synchronously.
-
+- The offline mode supports most of the SQL syntax provided by OpenMLDB, including complex SQL syntax such as `LAST JOIN` and `WINDOW UNION`.
+- In offline mode, some SQL commands are executed asynchronously, such as `LOAD DATA`, `SELECT`, and `SELECT INTO`. Other SQL commands are executed synchronously.
 - The asynchronous SQL is managed by the internal TaskManager and can be viewed and managed through commands such as `SHOW JOBS`, `SHOW JOB`, and `STOP JOB`.
 
-```{tip}
-:::
+:::{tip}
 Unlike many relational database systems, the `SELECT` command in offline mode is executed asynchronously by default. If you need to set it to synchronous execution, refer to setting the command to run synchronously in offline mode. During offline feature development, if asynchronous execution is used, it is strongly recommended to use the `SELECT INTO` statement for development and debugging, which can export the results to a file for easy viewing.
 :::
-```
 
-The `DEPLOY` command for feature deployment is also executed in offline mode. Its specification can refer to the OpenMLDB SQL online specification and requirements.
+
+The `DEPLOY` command for feature deployment is also executed in offline mode. Its specification can refer to the [OpenMLDB SQL online specification and requirements](../../openmldb_sql/deployment_manage/ONLINE_REQUEST_REQUIREMENTS.md).
 
 Offline mode setting command (OpenMLDB CLI): `SET @@execute_mode='offline'`.
 
-### Online preview mode
+### Online Preview Mode
 
 Cold start online data import, real-time data access, and online data preview are executed in online preview mode. The purpose of the online preview mode is to manage and preview online data. Storage and computation of online data are supported by the tablet component.
 
 The main features of the online preview mode are:
 
 - `LOAD DATA`, used for online data import, can be done either locally (load_mode='local') or on the cluster (load_mode='cluster'). Local import is synchronous, while cluster import is asynchronous (same as in offline mode). Other operations are synchronous.
-- Online preview mode is mainly used for previewing limited data. Selecting and viewing data directly through SELECT in OpenMLDB CLI or SDKs may result in data truncation. If the data volume is large, it is recommended to use an [export tool](https://openmldb.ai/docs/zh/main/tutorial/data_export.html) to view the complete data.
-- SELECT statements in online preview mode currently do not support more complex queries such as `LAST JOIN` and `ORDER BY`. Refer to [SELECT](https://openmldb.ai/docs/zh/main/openmldb_sql/dql/SELECT_STATEMENT.html).
+- Online preview mode is mainly used for previewing limited data. Selecting and viewing data directly through SELECT in OpenMLDB CLI or SDKs may result in data truncation. If the data volume is large, it is recommended to use an [export tool](../../tutorial/data_export.html) to view the complete data.
+- SELECT statements in online preview mode currently do not support more complex queries such as `LAST JOIN` and `ORDER BY`. Refer to [SELECT](../../openmldb_sql/dql/SELECT_STATEMENT.html).
 - The server in the online preview mode executes SQL statements on a single thread. For large data processing, it may be slow and may trigger a timeout. To increase the timeout period, the `--request_timeout` can be configured on the client.
-- To prevent impact on online services, online preview mode limits the maximum number of accessed records and the number of different keys. This can be configured using `--max_traverse_cnt` and `--max_traverse_key_cnt`. Similarly, the maximum result size can be set using `--scan_max_bytes_size`. For detailed configuration, refer to the configuration file.
+- To prevent impact on online services, online preview mode limits the maximum number of accessed records and the number of different keys. This can be configured using `--max_traverse_cnt` and `--max_traverse_key_cnt`. Similarly, the maximum result size can be set using `--scan_max_bytes_size`. For detailed configuration, refer to the [configuration file](../../deploy/conf.md).
 
 The command for setting online preview mode in OpenMLDB CLI: `SET @@execute_mode='online'`
 
-### Online request mode
+### Online Request Mode
 
 After deploying feature scripts and accessing online data, the real-time feature computing service is ready to use, and real-time feature extraction can be performed through the online request mode. REST APIs and SDKs support the online request mode. The online request mode is a unique mode in OpenMLDB that supports real-time online computing and is very different from common SQL queries in databases.
 
@@ -78,7 +75,7 @@ The online request mode requires three inputs:
 
 Based on the above inputs, for each real-time request row, the online request mode will return a feature extraction result. The computing logic is as follows: The request row is virtually inserted into the correct position of the online data table based on the logic in the SQL script (such as `PARTITION BY`, `ORDER BY`, etc.), and then only the feature aggregation computing is performed on that row, returning the unique corresponding extraction result. The following diagram intuitively explains the operation process of the online request mode.
 
-![modes-request](https://openmldb.ai/docs/zh/main/_images/modes-request.png)
+![modes-request](images/modes-request.png)
 
 Online request mode is supported in the following ways:
 

From eeb37b6912f9d42acc2d4dd438a96b4c98fcf734 Mon Sep 17 00:00:00 2001
From: HuangWei <huangwei@apache.org>
Date: Tue, 31 Oct 2023 17:05:34 +0800
Subject: [PATCH 11/27] fix: recoverdata and log print (#3545)

* fix: ops log print

* fix log and try recover all table
---
 tools/openmldb_ops.py | 9 +++++----
 tools/tool.py         | 8 +++++---
 2 files changed, 10 insertions(+), 7 deletions(-)

diff --git a/tools/openmldb_ops.py b/tools/openmldb_ops.py
index c7ae0663b52..543c0bbfbf9 100644
--- a/tools/openmldb_ops.py
+++ b/tools/openmldb_ops.py
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import logging
-
+# for Python 2, don't use f-string
 log = logging.getLogger(__name__)
 import os
 import sys
@@ -118,8 +118,8 @@ def RecoverPartition(executor, db, partitions, endpoint_status):
             db=db, table_name=table_name, pid=pid, leader_endpoint=leader_endpoint))
         status = executor.LoadTable(leader_endpoint, table_name, tid, pid)
         if not status.OK():
-            log.error("load table failed. db {db} name {table_name} tid {tid} pid {pid} endpoint {leader_endpoint} msg {status.GetMsg()}".format(
-                db=db, table_name=table_name, tid=tid, pid=pid, leader_endpoint=leader_endpoint, status=status))
+            log.error("load table failed. db {db} name {table_name} tid {tid} pid {pid} endpoint {leader_endpoint} msg {status}".format(
+                db=db, table_name=table_name, tid=tid, pid=pid, leader_endpoint=leader_endpoint, status=status.GetMsg()))
             return Status(-1, "recover partition failed")
     if not partitions[leader_pos].IsAlive():
         status =  executor.UpdateTableAlive(db, table_name, pid, leader_endpoint, "yes")
@@ -204,8 +204,9 @@ def RecoverData(executor):
             log.error("get all table failed")
             return
         for name in tables:
+            # if recover failed, continue to recover next table
             if not RecoverTable(executor, db, name).OK():
-                return
+                log.error("recover table failed. db {db} name {name}, check log for detail".format(db=db, name=name))
 
 def ChangeLeader(db, partition, src_endpoint, desc_endpoint, one_replica, restore = True):
     log.info(
diff --git a/tools/tool.py b/tools/tool.py
index e64b172b49b..cff6eb1db98 100644
--- a/tools/tool.py
+++ b/tools/tool.py
@@ -16,6 +16,7 @@
 import subprocess
 import sys
 import time
+# for Python 2, don't use f-string
 log = logging.getLogger(__name__)
 logging.basicConfig(level=logging.INFO, format = '%(levelname)s: %(message)s')
 
@@ -276,6 +277,7 @@ def LoadTable(self, endpoint, name, tid, pid, sync = True):
         cmd = list(self.tablet_base_cmd)
         cmd.append("--endpoint=" + self.endpoint_map[endpoint])
         cmd.append("--cmd=loadtable {} {} {} 0 8".format(name, tid, pid))
+        log.info("run {cmd}".format(cmd = cmd))
         status, output = self.RunWithRetuncode(cmd)
         time.sleep(1)
         if status.OK() and output.find("LoadTable ok") != -1:
@@ -289,12 +291,12 @@ def LoadTable(self, endpoint, name, tid, pid, sync = True):
                     if table_stat == "kTableNormal":
                         return Status()
                     elif table_stat == "kTableLoading" or table_stat == "kTableUndefined":
-                        log.info("table is loading... tid {tid} pid {pid}".format(tid, pid))
+                        log.info("table is loading... tid {tid} pid {pid}".format(tid = tid, pid = pid))
                     else:
-                        return Status(-1, "table stat is {table_stat}".format(table_stat))
+                        return Status(-1, "table stat is {table_stat}".format(table_stat = table_stat))
                 time.sleep(2)
 
-        return Status(-1, "execute load table failed")
+        return Status(-1, "execute load table failed, status {msg}, output {output}".format(msg = status.GetMsg(), output = output))
 
     def GetLeaderFollowerOffset(self, endpoint, tid, pid):
         cmd = list(self.tablet_base_cmd)

From f864f8c83d0ec002e86dcede2b6825086f5618a2 Mon Sep 17 00:00:00 2001
From: HuangWei <huangwei@apache.org>
Date: Tue, 31 Oct 2023 17:06:34 +0800
Subject: [PATCH 12/27] feat: full inspect (#3559)

* feat: full inspect

* docs: diag and must read
---
 docs/zh/maintain/diagnose.md                  | 117 ++++-
 docs/zh/quickstart/beginner_must_read.md      |  24 +-
 python/openmldb_tool/README.md                |  16 +-
 .../openmldb_tool/diagnostic_tool/diagnose.py |  66 ++-
 .../openmldb_tool/diagnostic_tool/inspect.py  | 410 ++++++++++++++++++
 python/openmldb_tool/diagnostic_tool/pb.py    | 118 +++++
 python/openmldb_tool/diagnostic_tool/rpc.py   | 124 ++----
 .../diagnostic_tool/table_checker.py          | 116 +++--
 python/openmldb_tool/setup.py                 |   6 +-
 python/openmldb_tool/tests/inspect_test.py    | 355 +++++++++++++++
 src/proto/tablet.proto                        |   2 +-
 11 files changed, 1165 insertions(+), 189 deletions(-)
 create mode 100644 python/openmldb_tool/diagnostic_tool/inspect.py
 create mode 100644 python/openmldb_tool/diagnostic_tool/pb.py
 create mode 100644 python/openmldb_tool/tests/inspect_test.py

diff --git a/docs/zh/maintain/diagnose.md b/docs/zh/maintain/diagnose.md
index eef7db5b5a1..cb5d7a30f74 100644
--- a/docs/zh/maintain/diagnose.md
+++ b/docs/zh/maintain/diagnose.md
@@ -8,14 +8,76 @@
 
 安装方式与使用：
 ```bash
-pip install openmldb-tool # openmldb-tool[rpc]
+pip install openmldb-tool # openmldb-tool[pb]
 openmldb_tool # 注意下划线
 ```
 有以下几个子命令可选择执行：
 ```bash
-usage: openmldb_tool [-h] [--helpfull] {status,inspect,test,static-check} ...
+usage: openmldb_tool [-h] [--helpfull] {status,inspect,rpc,test,static-check} ...
 ```
-只有`static-check`静态检查命令需要指定`--dist_conf`参数，该参数指定OpenMLDB节点分布的配置文件。其他命令只需要`--cluster`参数，格式为`<zk_cluster>/<zk_root_path>`，默认为镜像中的OpenMLDB集群地址`127.0.0.1:2181/openmldb`。如果是自行设置的OpenMLDB集群，请配置此参数。
+
+注意`-c/--cluster`参数，格式为`<zk_cluster>/<zk_root_path>`，默认将访问`127.0.0.1:2181/openmldb`。如果是自行设置的OpenMLDB集群，请配置此参数。其他参数根据子命令不同而不同，可以使用`-h`查看，或查看各个子命令的详细文档。
+
+### 一键inspect
+
+`openmldb_tool inspect [--cluster=0.0.0.0:2181/openmldb]`可以一键查询，得到完整的集群状态报告。如果需要局部视角或额外的诊断功能，才需要其他子命令。
+
+报告分为几个板块，其中如果所有表都是健康的，不会展示Ops和Partitions板块。用户首先看报告末尾的总结 summary & hint，如果存在server offline（红色），需先重启server，保证server尤其是TabletServer都在线。server重启后，集群可能会尝试自动修复，自动修复也可能会失败，所以，用户有必要等待一定时间后再次inspect。此时如果仍然有不健康的表，可以检查它们的状态，Fatal表需要尽快修复，它们可能会读写失败，Warn表，用户可以考虑推迟修复。修复方式见报告末尾提供的文档。
+
+`inspect`可配置参数除了`--cluster/-c`，还可配置不显示彩色`--nocolor/-noc`方便复制，以及`--table_width/-tw n`配置表格宽度，`--offset_diff_thresh/-od n`配置offset diff的报警阈值。
+
+```
+diagnosing cluster xxx
+
+
+Server Detail
+{server map}
+{server online/offline report}
+
+
+Table Partitions Detail
+tablet server order: {tablet ip -> idx}
+{partition tables of unhealthy tables}
+Example:
+{a detailed description of partition table}
+
+
+Ops Detail
+> failed ops do not mean cluster is unhealthy, just for reference
+last one op(check time): {}
+last 10 ops != finished:
+{op list}
+
+
+
+==================
+Summary & Hint
+==================
+Server:
+
+{online | offline servers ['[tablet]xxx'], restart them first}
+
+Table:
+{all healthy | unhealthy tables desc}
+[]Fatal/Warn table, {read/write may fail or still work}, {repair immediatly or not}
+{partition detail: if leader healthy, if has unhealthy replicas, if offset too large, related ops}
+
+    Make sure all servers online, and no ops for the table is running.
+    Repair table manually, run recoverdata, check https://openmldb.ai/docs/zh/main/maintain/openmldb_ops.html.
+    Check 'Table Partitions Detail' above for detail.
+```
+
+### 其他常用命令
+
+除了一键inspect，在这样几个场景中，我们推荐使用诊断工具的子命令来帮助用户判断集群状态、简化运维。
+
+- 部署好集群后，可以使用`test`测试集群是否能正常工作，不需要用户手动测试。如果发现问题，再使用`inspect`诊断。
+- 组件都在线，但出现超时或错误提示某组件无法连接时，可以使用`status --conn`检查与各组件的连接，会打印出简单访问的耗时。也可以用它来测试客户端主机与集群的连接情况，及时发现网络隔离。
+- 离线job如果出现问题，`SHOW JOBLOG id`可以查看日志，但经验较少的用户可能会被日志中的无关信息干扰，可以使用`inspect job`来提取job日志中的关键信息。
+- 离线job太多时，CLI中的展示会不容易读，可以使用`inspect offline`筛选所有failed的job，或者`inspect job --state <state>`来筛选出特定状态的job。
+- 在一些棘手的问题中，可能需要用户通过RPC来获得一些信息，帮助定位问题。`openmldb_tool rpc`可以帮助用户简单快速地调用RPC，降低运维门槛。
+- 没有Prometheus监控时，可以通过`inspect online --dist`获得数据分布信息。
+- 如果你的操作节点到各个组件的机器是ssh免密的，那么，可以使用`static-check`检查配置文件是否正确，版本是否统一，避免部署失败。还可以一键收集整个集群的日志，方便打包并提供给开发人员分析。
 
 ## 子命令详情
 
@@ -29,7 +91,8 @@ usage: openmldb_tool status [-h] [--helpfull] [--diff]
 optional arguments:
   -h, --help  show this help message and exit
   --helpfull  show full help message and exit
-  --diff      check if all endpoints in conf are in cluster. If set, need to set `--conf_file`
+  --diff      check if all endpoints in conf are in cluster. If set, need to set `-f,--conf_file`
+  --conn                check network connection of all servers
 ```
 
 - 简单查询集群状态：
@@ -48,6 +111,11 @@ optional arguments:
   +-----------------+-------------+---------------+--------+---------+
   ```
 
+- 检查并测试集群链接与版本：
+  ```
+  openmldb_tool status --conn
+  ```
+
 #### 检查配置文件与集群状态是否一致
 
 如果指定`--diff`参数，会检查配置文件中的所有节点是否都在已经启动的集群中，如果有节点不在集群中，会输出异常信息。如果集群中有节点不在配置文件中，不会输出异常信息。需要配置`-f,--conf_file`，例如，你可以在镜像里这样检查：
@@ -57,7 +125,8 @@ openmldb_tool status --diff -f=/work/openmldb/conf/hosts
 
 ### inspect 检查
 
-`inspect`用于检查集群的在线和离线两个部分是否正常工作，可以选择单独检查`online`或`offline`，不指定则都检查。可以定期执行检查，以便及时发现异常。
+如果是为了检查集群状态，更推荐一键`inspect`获取集群完整检查报告，`inspect`子命令是更具有针对性的检查。
+
 ```
 openmldb_tool inspect -h
 usage: openmldb_tool inspect [-h] [--helpfull] {online,offline,job} ...
@@ -68,19 +137,26 @@ positional arguments:
     offline             only inspect offline jobs.
     job                 show jobs by state, show joblog or parse joblog by id.
 ```
-在线检查会检查集群中的表状态（包括系统表），并输出有异常的表，包括表的状态，分区信息，副本信息等，等价于`SHOW TABLE STATUS`并筛选出有异常的表。如果发现集群表现不正常，请先检查下是否有异常表。例如，`SHOW JOBS`无法正常输出历史任务时，可以`inspect online`检查一下是否是job系统表出现问题。
+
+#### online在线检查
+
+`inspect online`检查在线表的健康状态，并输出有异常的表，包括表的状态，分区信息，副本信息等，等价于`SHOW TABLE STATUS`并筛选出有异常的表。
 
 ##### 检查在线数据分布
 
-在线检查中，可以使用`inspect online --dist`检查在线数据分布，默认检查所有数据库，可以使用`--db`指定要检查的数据库。若要查询多个数据库，请使用 ',' 分隔数据库名称。会输出数据库在各个节点上的数据分布情况。
+可以使用`inspect online --dist`检查在线数据分布，默认检查所有数据库，可以使用`--db`指定要检查的数据库。若要查询多个数据库，请使用 ',' 分隔数据库名称。会输出数据库在各个节点上的数据分布情况。
 
-#### 离线检查
+#### offline离线检查
 
-离线检查会输出最终状态为失败的任务（不检查“运行中”的任务），等价于`SHOW JOBS`并筛选出失败任务。
+`inspect offline`离线检查会输出最终状态为失败的任务（不检查“运行中”的任务），等价于`SHOW JOBS`并筛选出失败任务。更多功能待补充。
 
 #### JOB 检查
 
-JOB 检查会检查集群中的离线任务，可以使用`inspect job`或`inspect job --state all`查询所有任务，等价于`SHOW JOBS`并按job_id排序。使用`inspect job --state <state>`可以筛选出特定状态的日志，可以使用 ',' 分隔，同时查询不同状态的日志。例如：`inspect offline` 相当于`inspect job --state failed,killed,lost`即筛选出所有失败的任务。
+JOB 检查是更灵活的离线任务检查命令，可以按条件筛选job，或针对单个job日志进行分析。
+
+##### 按state筛选
+
+可以使用`inspect job`或`inspect job --state all`查询所有任务，等价于`SHOW JOBS`并按job_id排序。使用`inspect job --state <state>`可以筛选出特定状态的日志，可以使用 ',' 分隔，同时查询不同状态的日志。例如：`inspect offline` 相当于`inspect job --state failed,killed,lost`即筛选出所有失败的任务。
 
 以下是一些常见的state:
 
@@ -93,8 +169,13 @@ JOB 检查会检查集群中的离线任务，可以使用`inspect job`或`inspe
 
 更多state信息详见[Spark State]( https://spark.apache.org/docs/3.2.1/api/java/org/apache/spark/launcher/SparkAppHandle.State.html)，[Yarn State](https://hadoop.apache.org/docs/current/api/org/apache/hadoop/yarn/api/records/YarnApplicationState.html)
 
+##### 解析单个JOB日志
 
-使用`inspect job --id <job_id>`查询指定任务的log日志，其结果会使用配置文件筛选出主要错误信息。如需更新配置文件，可以添加`--conf-update`，并且可以使用`--conf-url`配置镜像源，例如使用`--conf-url https://openmldb.ai/download/diag/common_err.yml`配置国内镜像。如果需要完整的日志信息，可以添加`--detail`获取详细信息。
+使用`inspect job --id <job_id>`查询指定任务的log日志，其结果会使用配置文件筛选出主要错误信息。
+
+解析依靠配置文件，默认情况会自动下载。如需更新配置文件，可以`--conf-update`，它将会在解析前强制下载一次配置文件。如果默认下载源不合适，可以同时配置`--conf-url`配置镜像源，例如使用`--conf-url https://openmldb.ai/download/diag/common_err.yml`配置国内镜像。
+
+如果只需要完整的日志信息而不是解析日志的结果，可以使用`--detail`获取详细信息，不会打印解析结果。
 
 ### test 测试
 
@@ -185,7 +266,6 @@ nameserver:
 
 如果检查配置文件或日志，将会把收集到的文件保存在`--collect_dir`中，默认为`/tmp/diag_collect`。你也也可以访问此目录查看收集到的配置或日志，进行更多的分析。
 
-
 #### 检查示例
 
 在镜像容器中可以这样静态检查：
@@ -193,14 +273,15 @@ nameserver:
 openmldb_tool static-check --conf_file=/work/openmldb/conf/hosts -VCL --local
 ```
 
-### rpc
+### RPC 接口
+
+`openmldb_tool`还提供了一个RPC接口，它可以让我们发送RPC更容易，不需要定位Server的IP，拼接RPC方法URL路径，也可以提示所有RPC方法和RPC方法的输入结构。使用方式是`openmldb_tool rpc`，例如，`openmldb_tool rpc ns ShowTable --field '{"show_all":true}'`可以调用`nameserver`的`ShowTable`接口，获取表的状态信息。
 
-`openmldb_tool`还提供了一个RPC接口，但它是一个额外组件，需要通过`pip install openmldb-tool[rpc]`安装。使用方式是`openmldb_tool rpc`，例如，`openmldb_tool rpc ns ShowTable --field '{"show_all":true}'`可以调用`nameserver`的`ShowTable`接口，获取表的状态信息。
+其中组件不使用ip，可以直接使用角色名。NameServer与TaskManager只有一个活跃，所以我们用ns和tm来代表这两个组件。而TabletServer有多个，我们用`tablet1`，`tablet2`等来指定某个TabletServer，从1开始，顺序可通过`openmldb_tool rpc`或`openmldb_tool status`来查看。
 
-NameServer与TaskManager只有一个活跃，所以我们用ns和tm来代表这两个组件。
-而TabletServer有多个，我们用`tablet1`，`tablet2`等来指定某个TabletServer，顺序可通过`openmldb_tool rpc`或`openmldb_tool status`来查看。
+如果对RPC服务的方法或者输入参数不熟悉，可以通过`openmldb_tool rpc <component> [method] --hint`查看帮助信息。但它是一个额外组件，需要通过`pip install openmldb-tool[pb]`安装。hint还需要额外的pb文件，帮助解析输入参数，默认是从`/tmp/diag_cache`中读取，如果不存在则自动下载。如果你已有相应的文件，或者已经手动下载，可以通过`--pbdir`指定该目录。自行编译pb文件，见[openmldb tool开发文档](https://github.com/4paradigm/OpenMLDB/blob/main/python/openmldb_tool/README.md#rpc)。
 
-如果对RPC服务的方法或者输入参数不熟悉，可以通过`openmldb_tool rpc <component> [method] --hint`查看帮助信息。例如：
+例如：
 ```bash
 $ openmldb_tool rpc ns ShowTable --hint
 ...
@@ -212,9 +293,7 @@ You should input json like this, ignore round brackets in the key and double quo
     "(optional)show_all": "bool"
 }'
 ```
-hint还需要额外的pb文件，帮助解析输入参数，默认是从`/tmp/diag_cache`中读取，如果不存在则自动下载。如果你已有相应的文件，或者已经手动下载，可以通过`--pbdir`指定该目录。
 
 ## 附加
 
 可使用`openmldb_tool --helpfull`查看所有配置项。例如，`--sdk_log`可以打印sdk的日志（zk，glog），可用于调试。
-  
\ No newline at end of file
diff --git a/docs/zh/quickstart/beginner_must_read.md b/docs/zh/quickstart/beginner_must_read.md
index f5ba729613f..def0e3728d1 100644
--- a/docs/zh/quickstart/beginner_must_read.md
+++ b/docs/zh/quickstart/beginner_must_read.md
@@ -2,6 +2,20 @@
 
 由于OpenMLDB是分布式系统，多种模式，客户端丰富，初次使用可能会有很多疑问，或者遇到一些运行、使用问题，本文从新手使用的角度，讲解如何进行诊断调试，需求帮助时如何提供有效信息给技术人员等等。
 
+## 错误诊断
+
+在使用OpenMLDB的过程中，除了SQL语法错误，其他错误信息可能不够直观，但很可能与集群状态有关。所以，错误诊断需要**先确认集群状态**。在发现错误时，请先使用诊断工具的一键诊断功能。一键诊断可以输出全面直观的诊断报告，如果不能使用此工具，可以手动执行`SHOW COMPONENTS;`和`SHOW TABLE STATUS LIKE '%';`提供部分信息。
+
+报告将展示集群的组件、在线表等状态，也会提示用户如何修复，请按照报告内容进行操作，详情见[一键inspect](../maintain/diagnose.md#一键inspect)。
+
+```
+openmldb_tool inspect [-c=0.0.0.0:2181/openmldb]
+```
+
+需要注意，由于离线存储只会在执行离线job时被读取，而离线job也不是一个持续的状态，所以，一键诊断只能展示TaskManager组件状态，不会诊断离线存储，也无法诊断离线job的执行错误，离线job诊断见[离线SQL执行](#离线)。
+
+如果诊断报告认为集群健康，但仍然无法解决问题，请提供错误和诊断报告给我们。
+
 ## 创建OpenMLDB与连接
 
 首先，我们建议不熟悉分布式多进程管理的新手使用docker创建OpenMLDB，方便快速上手。熟悉OpenMLDB各组件之后，再尝试分布式部署。
@@ -71,12 +85,14 @@ create table t1(c1 int;
 
 如果是集群离线命令，默认异步模式下，发送命令会得到job id的返回。可使用`show job <id>`来查询job执行情况。
 
-离线job如果是异步SELECT（并不INTO保存结果），也不会将结果打印在客户端（同步SELECT将会打印结果）。可以通过`show joblog <id>`来获得结果，结果中包含stdout和stderr两部分，stdout为查询结果，stderr为job运行日志。如果发现job failed或者其他状态，不符合你的预期，请仔细查看job运行日志。
+离线job如果是异步SELECT（并不INTO保存结果），也不会将结果打印在客户端，而同步SELECT将会打印结果到控制台。可以通过`show joblog <id>`来获得结果，结果中包含stdout和stderr两部分，stdout为查询结果，stderr为job运行日志。如果发现job failed或者其他状态，不符合你的预期，请仔细查看job运行日志。
 
-```{note}
-日志地址由taskmanager.properties的`job.log.path`配置，如果你改变了此配置项，需要到配置的目的地寻找日志。stdout日志默认在`/work/openmldb/taskmanager/bin/logs/job_x.log`，job运行日志默认在`/work/openmldb/taskmanager/bin/logs/job_x_error.log`(注意有error后缀)，
+离线job日志中可能有一定的干扰日志，用户可以使用`openmldb_tool inspect job --id x`进行日志的解析提取，帮助定位错误，更多信息请参考[诊断工具job检查](../maintain/diagnose.md#job-检查)。
 
-如果taskmanager是yarn模式，而不是local模式，`job_x_error.log`中的信息会较少，不会有job错误的详细信息。需要通过`job_x_error.log`中记录的yarn app id，去yarn系统中查询job的真正错误原因。
+如果taskmanager是yarn模式，而不是local模式，`job_x_error.log`中的信息会较少，只会打印异常。如果异常不直观，需要更早时间的执行日志，执行日志不在`job_x_error.log`中，需要通过`job_x_error.log`中记录的yarn app id，去yarn系统中查询yarn app的container的日志。yarn app container里，执行日志也保存在stderr中。
+
+```{note}
+如果你无法通过show joblog获得日志，或者想要直接拿到日志文件，可以直接在TaskManager机器上获取。日志地址由taskmanager.properties的`job.log.path`配置，如果你改变了此配置项，需要到配置的目录中寻找日志。stdout查询结果默认在`/work/openmldb/taskmanager/bin/logs/job_x.log`，stderr job运行日志默认在`/work/openmldb/taskmanager/bin/logs/job_x_error.log`(注意有error后缀)。
 ```
 
 #### 在线
diff --git a/python/openmldb_tool/README.md b/python/openmldb_tool/README.md
index 3381751edf9..d5168a4bf25 100644
--- a/python/openmldb_tool/README.md
+++ b/python/openmldb_tool/README.md
@@ -48,21 +48,27 @@ status [-h] [--helpfull] [--diff DIFF]
 optional arguments:
   -h, --help   show this help message and exit
   --helpfull   show full help message and exit
-  --diff       check if all endpoints in conf are in cluster. If set, need to set `--conf_file`
+  --diff       check if all endpoints in conf are in cluster. If set, need to set `-f,--conf_file`
 ```
 
 Use `show components` to show servers(no apiserver now).
 
+--conn:
+- ping all servers, brpc /health to check ok，and
+- online servers version and cost time, we can get from brpc http://<endpoint>/version. (ns,tablet, apiserver set_version in brpc server)
+
 TODO: 
-- ping all servers, brpc /health to check ok
-- online servers version, we can get from brpc http://<endpoint>/version. (ns,tablet, apiserver set_version in brpc server)
 - brpc /flags to get all gflags(including openmldb), `--enable_flags_service=true` required
 
 ## Inspect
 
-Use `show table status like '%';` in all dbs, even the hidden db(system db).
+`inspect` for full report, no offline diag now. 
+
+inspect online: Use `show table status like '%';` in all dbs, even the hidden db(system db).
+
+inspect offline: failed jobs, no more info. TODO: check register table?
 
-If you found some online tables are not behaving properly, do inspect online.
+inspect job: full support of offline job, select jobs, parse job log
 
 ## Test
 
diff --git a/python/openmldb_tool/diagnostic_tool/diagnose.py b/python/openmldb_tool/diagnostic_tool/diagnose.py
index 8bd67719489..21ee2961421 100644
--- a/python/openmldb_tool/diagnostic_tool/diagnose.py
+++ b/python/openmldb_tool/diagnostic_tool/diagnose.py
@@ -31,13 +31,15 @@
 import diagnostic_tool.server_checker as checker
 from diagnostic_tool.table_checker import TableChecker
 from diagnostic_tool.parser import LogParser
+from .inspect import server_ins, table_ins, partition_ins, ops_ins, ops_hint, inspect_hint
+from .rpc import RPC
 
 from absl import app
 from absl import flags
 from absl.flags import argparse_flags
 from absl import logging  # --verbosity --log_dir
 
-# only some sub cmd needs dist file
+# only some sub cmd needs dist file TODO(hw): better to move then to other py file, to avoid -h show them
 flags.DEFINE_string(
     "conf_file",
     "",
@@ -81,7 +83,7 @@ def status(args):
 
     # --diff with dist conf file, conf_file is required
     if args.diff:
-        assert flags.FLAGS.conf_file, "need --conf_file"
+        assert flags.FLAGS.conf_file, "need -f,--conf_file"
         print(
             "only check components in conf file, if cluster has more components, ignore them"
         )
@@ -96,39 +98,56 @@ def status(args):
 
 
 def inspect(args):
-    insepct_online(args)
-    inspect_offline(args)
+    # report all
+    # 1. server level
+    connect = Connector()
+    status_checker = checker.StatusChecker(connect)
+    server_map = status_checker._get_components()
+    offlines = server_ins(server_map)
+
+    # 3. ns ops level, but show only if has unhealthy tables, so hint later
+    last_one, should_warn, related_ops = ops_ins(connect)
+
+    # 2. partition level: show unhealthy tables and get some hints about table
+    hints = partition_ins(server_map, related_ops)
+    if hints:
+        # show 3 here
+        ops_hint(last_one, should_warn)
+    # 4. hint
+    # let user know what to do
+    # 1) start offline servers
+    # 2) let user know the warning table is fatal or not, related ops, warn if offset is too large
+    # 3) if table not healthy and no related ops, use recoverdata
+    inspect_hint(offlines, hints)
 
 
 def insepct_online(args):
-    """show table status"""
-    conn = Connector()
+    """inspect online"""
+    connect = Connector()
     # scan all db include system db
-    fails = []
-    rs = conn.execfetch("show table status like '%';")
-    rs.sort(key=lambda x: x[0])
-    print(f"inspect {len(rs)} online tables(including system tables)")
-    for t in rs:
+    fails = table_ins(connect)
+    for t in fails:
         if t[13]:
             print(f"unhealthy table {t[2]}.{t[1]}:\n {t[:13]}")
             # sqlalchemy truncated ref https://github.com/sqlalchemy/sqlalchemy/commit/591e0cf08a798fb16e0ee9b56df5c3141aa48959
             # so we print warnings alone
             print(f"full warnings:\n{t[13]}")
-            fails.append(f"{t[2]}.{t[1]}")
-
-    assert not fails, f"unhealthy tables: {fails}"
-    print(f"all tables are healthy")
+    # if has fails, summary will print in table_ins
+    if not fails:
+        print(f"all tables are healthy")
 
     if getattr(args, "dist", False):
-        table_checker = TableChecker(conn)
-        table_checker.check_distribution(dbs=flags.FLAGS.db.split(","))
+        table_checker = TableChecker(connect)
+        dbs = flags.FLAGS.db
+        db_list = dbs.split(",") if dbs else None
+        table_checker.check_distribution(dbs=db_list)
 
 
 def inspect_offline(args):
     """scan jobs status, show job log if failed"""
     final_failed = ["failed", "killed", "lost"]
     total, num, jobs = _get_jobs(final_failed)
-    # TODO some failed jobs are known, what if we want skip them?
+    # TODO some failed jobs are known or too old, what if we want skip them?
     print(f"inspect {total} offline jobs")
     if num:
         failed_jobs_str = "\n".join(jobs)
@@ -241,7 +260,6 @@ def rpc(args):
         tm: taskmanager"""
         )
         return
-    from diagnostic_tool.rpc import RPC
 
     # use status connction to get version
     conns_with_version = {
@@ -301,7 +319,7 @@ def parse_arg(argv):
     status_parser.add_argument(
         "--diff",
         action="store_true",
-        help="check if all endpoints in conf are in cluster. If set, need to set `--conf_file`",
+        help="check if all endpoints in conf are in cluster. If set, need to set `-f,--conf_file`",
     )  # TODO action support in all python 3.x?
     status_parser.add_argument(
         "--conn",
@@ -313,10 +331,10 @@ def parse_arg(argv):
     # sub inspect
     inspect_parser = subparsers.add_parser(
         "inspect",
-        help="Inspect online and offline. Use `inspect [online/offline]` to inspect one.",
+        help="Get full inspect report, --nocolor for batch mode, --table_width for partition tables display",
     )
-    # inspect online & offline
     inspect_parser.set_defaults(command=inspect)
+
     inspect_sub = inspect_parser.add_subparsers()
     # inspect online
     online = inspect_sub.add_parser("online", help="only inspect online table.")
@@ -325,7 +343,9 @@ def parse_arg(argv):
         "--dist", action="store_true", help="Inspect online distribution."
     )
     # inspect offline
-    offline = inspect_sub.add_parser("offline", help="only inspect offline jobs.")
+    offline = inspect_sub.add_parser(
+        "offline", help="only inspect offline jobs, show failed jobs."
+    )
     offline.set_defaults(command=inspect_offline)
     # inspect job
     ins_job = inspect_sub.add_parser(
diff --git a/python/openmldb_tool/diagnostic_tool/inspect.py b/python/openmldb_tool/diagnostic_tool/inspect.py
new file mode 100644
index 00000000000..288f819bb78
--- /dev/null
+++ b/python/openmldb_tool/diagnostic_tool/inspect.py
@@ -0,0 +1,410 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+# Copyright 2021 4Paradigm
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+""" gen multi-level readable reports for cluster devops """
+from absl import flags
+import json
+from collections import defaultdict
+from prettytable import PrettyTable
+
+from .rpc import RPC
+
+# ANSI escape codes
+flags.DEFINE_bool("nocolor", False, "disable color output", short_name="noc")
+flags.DEFINE_integer(
+    "table_width",
+    12,
+    "max columns in one row, 1 partition use r+1 cols, set k*(r+1)",
+    short_name="tw",
+)
+flags.DEFINE_integer(
+    "offset_diff_thresh", 100, "offset diff threshold", short_name="od"
+)
+
+# color: red, green
+RED = "\033[31m"
+GREEN = "\033[32m"
+BLUE = "\033[34m"
+YELLOW = "\033[1;33m"
+RESET = "\033[0m"
+
+
+# switch by nocolor flag
+def cr_print(color, obj):
+    if flags.FLAGS.nocolor or color == None:
+        print(obj)
+    else:
+        print(f"{color}{obj}{RESET}")
+
+
+def server_ins(server_map):
+    print("\n\nServer Detail")
+    print(server_map)
+    offlines = []
+    for component, value_list in server_map.items():
+        for endpoint, status in value_list:
+            if status != "online":
+                offlines.append(f"[{component}]{endpoint}")
+                continue  # offline tablet is needlessly to rpc
+    if offlines:
+        s = "\n".join(offlines)
+        cr_print(RED, f"offline servers:\n{s}")
+    else:
+        cr_print(GREEN, "all servers online (no backup tm and apiserver)")
+    return offlines
+
+
+# support nocolor
+def light(color, symbol, detail):
+    if flags.FLAGS.nocolor:
+        return f"{symbol} {detail}"
+    else:
+        return f"{color}{symbol}{RESET} {detail}"
+
+
+def state2light(state):
+    state = state.ljust(15)  # state str should be less than 15
+    if not state.startswith("k"):
+        # meta mismatch status, all red
+        return light(RED, "X", state)
+    else:
+        # meta match, get the real state
+        state = state[1:]
+        if state.startswith("TableNormal"):
+            # green
+            return light(GREEN, "O", state)
+        else:
+            # ref https://github.com/4paradigm/OpenMLDB/blob/0462f8a9682f8d232e8d44df7513cff66870d686/tools/tool.py#L291
+            # undefined is loading too: state == "kTableLoading" or state == "kTableUndefined"
+            # snapshot doesn't mean unhealthy: state == "kMakingSnapshot" or state == "kSnapshotPaused"
+            return light(YELLOW, "=", state)
+
+
+# similar with `show table status` warnings field, but easier to read
+# prettytable.colortable just make table border and header lines colorful, so we color the value
+def check_table_info(t, replicas_on_tablet, tablet2idx):
+    pnum, rnum = t["partition_num"], t["replica_num"]
+    assert pnum == len(t["table_partition"])
+    # multi-line for better display, max display columns in one row
+    valuable_cols = pnum * (rnum + 1)
+    display_width = min(flags.FLAGS.table_width, valuable_cols)
+    # if real multi-line, the last line may < width, padding with empty string
+    rest = valuable_cols % display_width
+    total_cols = valuable_cols + (0 if rest == 0 else display_width - rest)
+
+    idx_row = [""] * total_cols
+    leader_row = [""] * total_cols
+    followers_row = [""] * total_cols
+
+    table_mark = 0
+    hint = ""
+    for i, p in enumerate(t["table_partition"]):
+        # each partition add 3 row, and rnum + 1 columns
+        # tablet idx  pid | 1 | 4 | 5
+        # leader       1        o
+        # followers         o       o
+        pid = p["pid"]
+        assert pid == i
+
+        # sort by list tablets
+        replicas = []
+        for r in p["partition_meta"]:
+            tablet = r["endpoint"]
+            # tablet_has_partition useless
+            # print(r["endpoint"], r["is_leader"], r["tablet_has_partition"])
+            replicas_on_t = replicas_on_tablet[t["tid"]][p["pid"]]
+            # may can't find replica on tablet, e.g. tablet server is not ready
+            info_on_tablet = {}
+            if r["endpoint"] not in replicas_on_t:
+                info_on_tablet = {"state": "Miss", "mode": "Miss", "offset": -1}
+            else:
+                info_on_tablet = replicas_on_t[r["endpoint"]]
+            # print(info_on_tablet)
+            m = {
+                "role": "leader" if r["is_leader"] else "follower",
+                "state": info_on_tablet["state"],
+                "acrole": info_on_tablet["mode"],
+                "offset": info_on_tablet["offset"],
+            }
+            replicas.append((tablet2idx[tablet], m))
+
+        assert len(replicas) == rnum
+        replicas.sort(key=lambda x: x[0])
+        leader_ind = [i for i, r in enumerate(replicas) if r[1]["role"] == "leader"]
+        # replica on offline tablet is still in the ns meta, so leader may > 1
+        # assert len(ind) <= 1, f"should be only one leader or miss leader in {replicas}"
+
+        # show partition idx and tablet server idx
+        cursor = i * (rnum + 1)
+        idx_row[cursor : cursor + rnum + 1] = ["p" + str(pid)] + [
+            r[0] for r in replicas
+        ]
+
+        # fulfill leader line
+        if leader_ind:
+            for leader in leader_ind:
+                # leader state
+                lrep = replicas[leader][1]
+                if lrep["state"] != "Miss" and lrep["acrole"] != "kTableLeader":
+                    lrep["state"] = "NotLeaderOnT"  # modify the state
+                leader_row[cursor + leader + 1] = state2light(lrep["state"])
+        else:
+            # can't find leader in nameserver metadata, set in the first column(we can't find leader on any tablet)
+            leader_row[cursor] = state2light("NotFound")
+
+        # fulfill follower line
+        for i, r in enumerate(replicas):
+            idx = cursor + i + 1
+            if i in leader_ind:
+                continue
+            frep = r[1]
+            if frep["state"] != "Miss" and frep["acrole"] != "kTableFollower":
+                frep["state"] = "NotFollowerOnT"
+            followers_row[idx] = state2light(frep["state"])
+
+        # after state adjust, diag table
+        replicas = [r[1] for r in replicas]  # tablet server is needless now
+        # fatal: leader replica is not normal, may read/write fail
+        # get one normal leader, the partition can work
+        if not leader_ind or not any(
+            [replicas[i]["state"] == "kTableNormal" for i in leader_ind]
+        ):
+            table_mark = max(4, table_mark)
+            hint += f"partition {pid} leader replica is not normal\n"
+        # warn: need repair(may auto repair by auto_failover), but not in emergency
+        #  follower replica is not normal
+        if any([r["state"] != "kTableNormal" for r in replicas]):
+            table_mark = max(3, table_mark)
+            hint += f"partition {pid} has unhealthy replicas\n"
+
+        #  offset is not consistent, only check normal replicas
+        offsets = [r["offset"] for r in replicas if r["state"] == "kTableNormal"]
+        if offsets and max(offsets) - min(offsets) > flags.FLAGS.offset_diff_thresh:
+            table_mark = max(3, table_mark)
+            hint += (
+                f"partition {pid} has offset diff > {flags.FLAGS.offset_diff_thresh}\n"
+            )
+
+    x = PrettyTable(align="l")
+
+    x.field_names = [i for i in range(display_width)]
+    step = display_width
+    for i in range(0, len(idx_row), step):
+        x.add_row(idx_row[i : i + step])
+        x.add_row(leader_row[i : i + step])
+        x.add_row(followers_row[i : i + step], divider=True)
+
+    table_summary = ""
+    if table_mark >= 4:
+        table_summary = light(
+            RED,
+            "X",
+            f"Fatal table {t['db']}.{t['name']}, read/write may fail, need repair immediately",
+        )
+    elif table_mark >= 3:
+        table_summary = light(
+            YELLOW, "=", f"Warn table {t['db']}.{t['name']}, still work, but need repair"
+        )
+    if table_summary:
+        table_summary += "\n" + hint
+    return x, table_summary
+
+
+def show_table_info(t, replicas_on_tablet, tablet2idx):
+    """check table info and display for ut"""
+    print(
+        f"Table {t['tid']} {t['db']}.{t['name']} {t['partition_num']} partitions {t['replica_num']} replicas"
+    )
+    table, _ = check_table_info(t, replicas_on_tablet, tablet2idx)
+    print(table.get_string(border=True, header=False))
+
+
+def table_ins(connect):
+    print("\n\nTable Healthy Detail")
+    rs = connect.execfetch("show table status like '%';")
+    rs.sort(key=lambda x: x[0])
+    print(f"summary: {len(rs)} tables(including system tables)")
+    warn_tables = []
+    for t in rs:
+        # any warning means unhealthy, partition_unalive may be 0 but already unhealthy, warnings is accurate?
+        if t[13]:
+            warn_tables.append(t)
+    if warn_tables:
+        # only show tables name
+        s = "\n".join([f"{t[2]}.{t[1]}" for t in warn_tables])
+        cr_print(RED, f"unhealthy tables:\n{s}")
+    else:
+        cr_print(GREEN, "all tables are healthy")
+    return warn_tables
+
+
+def partition_ins(server_map, related_ops):
+    print("\n\nTable Partition Detail")
+    # ns table info
+    rpc = RPC("ns")
+    res = rpc.rpc_exec("ShowTable", {"show_all": True})
+    if not res:
+        cr_print(RED, "get table info failed or empty from nameserver")
+        return
+    res = json.loads(res)
+    all_table_info = res["table_info"]
+
+    # get table info from tablet server
+    # <tid, <pid, <tablet, replica>>>
+    replicas = defaultdict(lambda: defaultdict(dict))
+    tablets = server_map["tablet"]  # has status
+    invalid_tablets = set()
+    for tablet, status in tablets:
+        if status == "offline":
+            invalid_tablets.add(tablet)
+            continue
+        # GetTableStatusRequest empty field means get all
+        rpc = RPC(tablet)
+        res = None
+        try:
+            res = json.loads(rpc.rpc_exec("GetTableStatus", {}))
+        except Exception as e:
+            print(f"rpc {tablet} failed")
+        # may get empty when tablet server is not ready
+        if not res or res["code"] != 0:
+            cr_print(RED, f"get table status failed or empty from {tablet}(online)")
+            invalid_tablets.add(tablet)
+            continue
+        if "all_table_status" not in res:
+            # just empty replica on tablet, skip
+            continue
+        for rep in res["all_table_status"]:
+            rep["tablet"] = tablet
+            # tid, pid are int
+            tid, pid = rep["tid"], rep["pid"]
+            replicas[tid][pid][tablet] = rep
+
+    tablet2idx = {tablet[0]: i + 1 for i, tablet in enumerate(tablets)}
+    print(f"tablet server order: {tablet2idx}")
+    if invalid_tablets:
+        cr_print(
+            RED,
+            f"some tablet servers are offline/bad, can't get table info(exclude empty table server): {invalid_tablets}",
+        )
+
+    # display, depends on table info, replicas are used to check
+    all_table_info.sort(key=lambda x: x["tid"])
+    # related op map
+    related_ops_map = {}
+    for op in related_ops:
+        db = op[9]
+        table = op[10]
+        if db not in related_ops_map:
+            related_ops_map[db] = {}
+        if table not in related_ops_map[db]:
+            related_ops_map[db][table] = []
+        related_ops_map[db][table].append(op)
+    # print(f"related ops: {related_ops_map}")
+    print("")  # for better display
+    diag_result = []
+    for t in all_table_info:
+        # no need to print healthy table
+        table, diag_hint = check_table_info(t, replicas, tablet2idx)
+        if diag_hint:
+            print(
+                f"Table {t['tid']} {t['db']}.{t['name']} {t['partition_num']} partitions {t['replica_num']} replicas"
+            )
+            print(table.get_string(header=False))
+            if t["db"] in related_ops_map and t["name"] in related_ops_map[t["db"]]:
+                diag_hint += f"related op: {sorted(related_ops_map[t['db']][t['name']], key=lambda x: x[11])}"  # 11 is pid
+            diag_result.append(diag_hint)
+    # comment for table info display, only for unhealthy table TODO: draw a example
+    if diag_result:
+        print(
+            """
+Example:
+tablet server order: {'xxx': 1, 'xxx': 2, 'xxx': 3}              -> get real tablet addr by idx
++----+-------------------+------------------+------------------+
+| p0 | 1                 | 2                | 3                | -> p0: partition 0, 1-3: tablet server idx
+|    | [light] status    |                  |                  | -> leader replica is on tablet 1
+|    |                   | [light] status   | [light] status   | -> follower replicas are on tablet 2, 3
++----+-------------------+------------------+------------------+
+light:
+Green O -> OK
+Yellow = -> replica meta is ok but state is not normal
+Red X -> NotFound/Miss/NotFollowerOnT/NotLeaderOnT"""
+        )
+    return diag_result
+
+
+def ops_ins(connect):
+    # op sorted by id TODO: detail to show all include succ op?
+    rs = connect.execfetch("show jobs from NameServer;")
+    should_warn = []
+    from datetime import datetime
+    # already in order
+    ops = [list(op) for op in rs]
+    for i in range(len(ops)):
+        op = ops[i]
+        op[3] = str(datetime.fromtimestamp(int(op[3]) / 1000)) if op[4] else "..."
+        op[4] = str(datetime.fromtimestamp(int(op[4]) / 1000)) if op[4] else "..."
+        if op[2] != "FINISHED":
+            should_warn.append(op)
+
+    recover_type = ["kRecoverTableOP", "kChangeLeaderOP", "kReAddReplicaOP", "kOfflineReplicaOP"]
+    related_ops = [
+        op
+        for op in should_warn
+        if op[1] in recover_type and op[2] in ["Submitted", "RUNNING"]
+    ]
+    return ops[-1] if ops else None, should_warn, related_ops
+
+def ops_hint(last_one, should_warn):
+    print("\n\nOps Detail")
+    print("> failed ops do not mean cluster is unhealthy, just for reference")
+    # peek last one to let user know if cluster has tried to recover, or we should wait
+    if last_one:
+        print("last one op(check time): ", last_one)
+    else:
+        print("no ops in nameserver")
+    if not should_warn:
+        print("all nameserver ops are finished")
+    else:
+        print("last 10 ops != finished:")
+        print(*should_warn[-10:], sep="\n")
+
+def inspect_hint(server_hint, table_hints):
+    print(
+        """
+
+==================
+Summary & Hint
+==================
+Server:
+"""
+    )
+    if server_hint:
+        cr_print(RED, f"offline servers {server_hint}, restart them first")
+    else:
+        cr_print(GREEN, "all servers online")
+    print("\nTable:\n")
+    for h in table_hints:
+        print(h)
+    if table_hints:
+        print(
+            """
+    Make sure all servers online, and no ops for the table is running.
+    Repair table manually, run recoverdata, check https://openmldb.ai/docs/zh/main/maintain/openmldb_ops.html.
+    Check 'Table Partitions Detail' above for detail.
+    """
+        )
+    else:
+        cr_print(GREEN, "all tables are healthy")
diff --git a/python/openmldb_tool/diagnostic_tool/pb.py b/python/openmldb_tool/diagnostic_tool/pb.py
new file mode 100644
index 00000000000..06219d00b61
--- /dev/null
+++ b/python/openmldb_tool/diagnostic_tool/pb.py
@@ -0,0 +1,118 @@
+# Copyright 2021 4Paradigm
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from google.protobuf.descriptor import Descriptor, FieldDescriptor
+from absl import flags
+
+
+class DescriptorHelper:
+    def __init__(self, service):
+        # lazy import
+        assert flags.FLAGS.pbdir, "pbdir not set"
+        import sys
+        from pathlib import Path
+
+        sys.path.append(Path(flags.FLAGS.pbdir).as_posix())
+        import tablet_pb2
+        import name_server_pb2
+        import taskmanager_pb2
+
+        # google.protobuf.symbol_database can get service desc by name, but we have already included all pb2 files we need
+        # just use one file
+        pb_map = {
+            "TabletServer": tablet_pb2,
+            "NameServer": name_server_pb2,
+            "TaskManagerServer": taskmanager_pb2,
+            # "ApiServer": api_server_pb2,
+            # "DataSync": data_sync_pb2,
+        }
+        self.descriptor = pb_map[service].DESCRIPTOR.services_by_name[service]
+        # from google.protobuf import symbol_database
+        # self.sym_db = symbol_database.Default()
+
+    def get_input_json(self, method):
+        m = self.descriptor.FindMethodByName(method)
+        if not m:
+            return False, f"method {method} not found"
+        if not m.input_type.fields:  # e.g. ShowTabletRequest is emtpy
+            return False, f"method {method} has no input"
+        # GeneratedProtocolMessageType __dict__ is complex, can't use it directly
+        # cl = self.sym_db.GetSymbol(m.input_type.full_name)
+
+        # fields build a map, message is Descriptor, fields in msg is FieldDescriptor
+        return True, Field.to_json(m.input_type)
+
+
+class Field:
+    def to_str(typ):
+        typ2str = {
+            FieldDescriptor.TYPE_DOUBLE: "double",
+            FieldDescriptor.TYPE_FLOAT: "float",
+            FieldDescriptor.TYPE_INT64: "int64",
+            FieldDescriptor.TYPE_UINT64: "uint64",
+            FieldDescriptor.TYPE_INT32: "int32",
+            FieldDescriptor.TYPE_FIXED64: "fixed64",
+            FieldDescriptor.TYPE_FIXED32: "fixed32",
+            FieldDescriptor.TYPE_BOOL: "bool",
+            FieldDescriptor.TYPE_STRING: "string",
+            FieldDescriptor.TYPE_GROUP: "group",
+            FieldDescriptor.TYPE_MESSAGE: "message",
+            FieldDescriptor.TYPE_BYTES: "bytes",
+            FieldDescriptor.TYPE_UINT32: "uint32",
+        }
+        return typ2str[typ]
+
+    def to_json(field):
+        # label optional, required, or repeated.
+        label = {1: "optional", 2: "required", 3: "repeated"}
+
+        def is_map(f):
+            # I'm a map(containing_type = who includes me and my fields name are key-value)
+            # e.g. tm RunBatchSql --hint the conf field is map
+            return f.containing_type and [ff.name for ff in f.fields] == [
+                "key",
+                "value",
+            ]
+
+        if isinstance(field, FieldDescriptor):
+            if field.message_type:
+                # message_type is a Descriptor, check if it's a map
+                if is_map(field.message_type):
+                    m = field.message_type
+                    # treat key-value as map type, can't figure out custom type, no nested, so just generate here
+                    return {
+                        f"<{m.fields[0].name}>": f"<{m.fields[1].name}>",
+                        "...": "...",
+                    }
+                else:
+                    # normal nested message
+                    return Field.to_json(field.message_type)
+            elif field.type == FieldDescriptor.TYPE_ENUM:
+                return "/".join([n.name for n in field.enum_type.values])
+            else:
+                return f"<{Field.to_str(field.type)}>"
+
+        elif isinstance(field, Descriptor):
+            d = {}
+            for f in field.fields:
+                # each one is FieldDescriptor
+                # map is repeated too, but it's not a list
+                if f.label == 3 and not is_map(f.message_type):
+                    # json list style
+                    d[f"({label[f.label]})" + f.name] = [Field.to_json(f), "..."]
+                else:
+                    d[f"({label[f.label]})" + f.name] = Field.to_json(f)
+            return d
+        else:
+            raise ValueError(f"unknown type {type(field)}")
diff --git a/python/openmldb_tool/diagnostic_tool/rpc.py b/python/openmldb_tool/diagnostic_tool/rpc.py
index 686734e7641..8e3f8efc660 100644
--- a/python/openmldb_tool/diagnostic_tool/rpc.py
+++ b/python/openmldb_tool/diagnostic_tool/rpc.py
@@ -12,103 +12,44 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from absl import flags
 import json
 import requests
-from bs4 import BeautifulSoup
-from google.protobuf.descriptor import FieldDescriptor
 
 from .server_checker import StatusChecker
 from .connector import Connector
 
+from absl import flags
+
+# used by pb.py but set here for simplicity, we will check pbdir before call hint(import pb)
 flags.DEFINE_string(
     "pbdir",
     "/tmp/diag_cache",
     "pb2 root dir, if not set, will use the <path>/pb2 directory in the same directory as this script",
 )
 
+def validate_ip_address(ip_string):
+    return not any(c.isalpha() for c in ip_string)
 
-class DescriptorHelper:
-    def __init__(self, service):
-        # TODO(hw): symbol_database is useful?
-        # lazy import
-        assert flags.FLAGS.pbdir, "pbdir not set"
-        import sys
-        from pathlib import Path
-        sys.path.append(Path(flags.FLAGS.pbdir).as_posix())
-        import tablet_pb2
-        import name_server_pb2
-        import taskmanager_pb2
-        
-        pb_map = {
-            "TabletServer": tablet_pb2,
-            "NameServer": name_server_pb2,
-            "TaskManagerServer": taskmanager_pb2,
-            # "ApiServer": api_server_pb2,
-            # "DataSync": data_sync_pb2,
-        }
-        self.descriptor = pb_map[service].DESCRIPTOR.services_by_name[service]
-
-    def get_input_json(self, method):
-        inp = self.descriptor.FindMethodByName(method).input_type
-        return Field.to_json(inp)
-
-
-class Field:
-    def to_str(typ):
-        typ2str = {
-            FieldDescriptor.TYPE_DOUBLE: "double",
-            FieldDescriptor.TYPE_FLOAT: "float",
-            FieldDescriptor.TYPE_INT64: "int64",
-            FieldDescriptor.TYPE_UINT64: "uint64",
-            FieldDescriptor.TYPE_INT32: "int32",
-            FieldDescriptor.TYPE_FIXED64: "fixed64",
-            FieldDescriptor.TYPE_FIXED32: "fixed32",
-            FieldDescriptor.TYPE_BOOL: "bool",
-            FieldDescriptor.TYPE_STRING: "string",
-            FieldDescriptor.TYPE_GROUP: "group",
-            FieldDescriptor.TYPE_MESSAGE: "message",
-            FieldDescriptor.TYPE_BYTES: "bytes",
-            FieldDescriptor.TYPE_UINT32: "uint32",
-        }
-        return typ2str[typ]
-
-    def to_json(field):
-        # label optional, required, or repeated.
-        label = {1: "optional", 2: "required", 3: "repeated"}
-        if isinstance(field, FieldDescriptor):
-            key = f"({label[field.label]})" + field.name
-            if field.type == FieldDescriptor.TYPE_MESSAGE:
-                value = Field.to_json(field.message_type)
-            elif field.type == FieldDescriptor.TYPE_ENUM:
-                value = "/".join([n.name for n in field.enum_type.values])
-            else:
-                value = Field.to_str(field.type)
-            if field.label == 3:
-                # json list style
-                return {key: [value, "..."]}
-            else:
-                return {key: value}
-        else:
-            # field is a message
-            if field.containing_type and [f.name for f in field.fields] == [
-                "key",
-                "value",
-            ]:
-                # treat key-value as map type, can't figure out custom type
-                # TODO(hw): it's ok to pass a json list to proto map?
-                return {"k": "v", "...": "..."}
-            d = {}
-            for f in field.fields:
-                d.update(Field.to_json(f))
-            return d
+
+host2service = {
+    "nameserver": "NameServer",
+    "taskmanager": "openmldb.taskmanager.TaskManagerServer",
+    "tablet": "TabletServer",
+}
 
 
 class RPC:
     """rpc service"""
 
     def __init__(self, host) -> None:
-        self.host, self.endpoint, self.service = RPC.get_endpoint_service(host.lower())
+        if validate_ip_address(host):
+            self.endpoint = host
+            self.host = "tablet"  # TODO: you can get ns/tm by name, it's not necessary to input ip
+            self.service = host2service[self.host]
+        else:
+            self.host, self.endpoint, self.service = RPC.get_endpoint_service(
+                host.lower()
+            )
 
     def rpc_help(self):
         if self.host == "taskmanager":
@@ -123,26 +64,31 @@ def rpc_exec(self, operation, field):
         )
         return r.text
 
-    def hint(self, info):
-        if not info:
+    def hint(self, method):
+        if not method:
             # show service name and all rpc methods
             print(self.rpc_help())
             return
 
-        # input message to json style
-
         # if taskmanager, service in pb2 is TaskManagerServer
         service = (
             self.service
             if not self.service.endswith("TaskManagerServer")
             else "TaskManagerServer"
         )
+        from .pb import DescriptorHelper
 
-        helper = DescriptorHelper(service)
-        json_str = json.dumps(helper.get_input_json(info), indent=4)
+        ok, input_json = DescriptorHelper(service).get_input_json(method)
+        if not ok:
+            print(input_json) # if not ok, it's message
+            return
+        # input message to json style
+        json_str = json.dumps(input_json, indent=4)
         print(
-            f"You should input json like this, ignore round brackets in the key and double quotation marks in the value: --field '{json_str}'"
+            f"You should input json like this:\n --field '{json_str}'"
         )
+        print("ignore round brackets in the key, e.g. (required)")
+        print('"<>" shows the data type, e.g. "<string>" means you should set string')
 
     def search_in(self, typ, info):
         for item in typ:
@@ -168,14 +114,12 @@ def get_endpoint_service(host):
             host = "nameserver" if host == "ns" else "taskmanager"
         assert host in components_map, f"{host} not found in cluster"
         endpoint = components_map[host][num][0]
-        host2service = {
-            "nameserver": "NameServer",
-            "taskmanager": "openmldb.taskmanager.TaskManagerServer",
-            "tablet": "TabletServer",
-        }
+
         service = host2service[host]
         return host, endpoint, service
 
     def parse_html(html):
+        from bs4 import BeautifulSoup
+
         soup = BeautifulSoup(html, "html.parser")
         return soup.get_text("\n")
diff --git a/python/openmldb_tool/diagnostic_tool/table_checker.py b/python/openmldb_tool/diagnostic_tool/table_checker.py
index 969e7d110e4..f9703054d5c 100644
--- a/python/openmldb_tool/diagnostic_tool/table_checker.py
+++ b/python/openmldb_tool/diagnostic_tool/table_checker.py
@@ -24,11 +24,11 @@ class TableChecker:
     def __init__(self, conn: Connector):
         self.conn = conn
 
-    def check_distribution(self, dbs: list):
+    def check_distribution(self, dbs: list = None):
         exist_dbs = [db[0] for db in self.conn.execfetch("SHOW DATABASES")]
         if not exist_dbs:
             return
-        if dbs == ['']:
+        if not dbs or len(dbs) == 0:
             dbs = exist_dbs
         assert all([db in exist_dbs for db in dbs]), "some databases are not exist"
 
@@ -36,67 +36,87 @@ def check_distribution(self, dbs: list):
         url = f"http://{ns_leader}/NameServer/ShowTable"
         res = requests.get(url, json={"show_all": True})
         tables = res.json()["table_info"]
-
+        if not tables or len(tables) == 0:
+            print("no table")
+            return
         tablet2partition = {}
         tablet2count = {}
         tablet2mem = {}
         tablet2dused = {}
         table_infos = []
-        max_values = {'mp': 0, 'mc': 0, 'mm': 0, 'md': 0}
+        max_values = {"mp": 0, "mc": 0, "mm": 0, "md": 0}
 
         for table in tables:
-            if table['db'] not in dbs:
+            if table["db"] not in dbs:
                 continue
             t = {}
-            t['name'] = table['db'] + "." + table['name']
-            parts = table['table_partition']
-            part_dist = self._collect(parts, '')
-            count_dist = self._collect(parts, 'record_cnt')
-            mem_dist = self._collect(parts, 'record_byte_size')
-            dused_dist = self._collect(parts, 'diskused')
-            max_values['mp'] = max(max_values['mp'], *part_dist.values())
-            max_values['mc'] = max(max_values['mc'], *count_dist.values())
-            max_values['mm'] = max(max_values['mm'], *mem_dist.values())
-            max_values['md'] = max(max_values['md'], *dused_dist.values())
-            t['part_size'] = len(parts)
-            t['part_dist'] = part_dist
-            t['count_dist'] = count_dist
-            t['mem_dist'] = mem_dist
-            t['dused_dist'] = dused_dist
+            t["name"] = table["db"] + "." + table["name"]
+            parts = table["table_partition"]
+            part_dist = self._collect(parts, "")
+            count_dist = self._collect(parts, "record_cnt")
+            mem_dist = self._collect(parts, "record_byte_size")
+            dused_dist = self._collect(parts, "diskused")
+            t["part_size"] = len(parts)
+            t["part_dist"] = part_dist
+            t["count_dist"] = count_dist
+            t["mem_dist"] = mem_dist
+            t["dused_dist"] = dused_dist
             table_infos.append(t)
             self._add_merge(tablet2partition, part_dist)
             self._add_merge(tablet2count, count_dist)
             self._add_merge(tablet2mem, mem_dist)
             self._add_merge(tablet2dused, dused_dist)
 
-        max_values['mm'] = round(max_values['mm'] / 1024 / 1024, 4)
-        max_values['md'] = round(max_values['md'] / 1024 / 1024, 4)
+        def get_max(di):
+            return max(di.values())
+
+        max_values["mp"] = get_max(tablet2partition)
+        max_values["mc"] = get_max(tablet2count)
+        max_values["mm"] = round(get_max(tablet2mem) / 1024 / 1024, 4)
+        max_values["md"] = round(get_max(tablet2dused) / 1024 / 1024, 4)
+
         max_width = 40
         for t in table_infos:
             print()
-            print(t['name'])
-            print('partition size:', t['part_size'])
-            print('partition dist(include replica)')
-            self._show_dist(t['part_dist'], max_width=max_width * max(*t['part_dist'].values()) / max_values['mp'])
-            print('record count dist(include replica)')
-            self._show_dist(t['count_dist'], max_width=0 if max_values['mc'] == 0 else max_width * max(*t['count_dist'].values()) / max_values['mc'])
-            print('mem dist(include replica)(MB)')
-            self._byte2mb(t['mem_dist'])
-            self._show_dist(t['mem_dist'], max_width=0 if max_values['mm'] == 0 else max_width * max(*t['mem_dist'].values()) / max_values['mm'])
-            print('diskused dist(include replica)(MB)')
-            self._byte2mb(t['dused_dist'])
-            self._show_dist(t['dused_dist'], max_width=max_width * max(*t['dused_dist'].values()) / max_values['md'])
+            print(t["name"], "distribution")
+            print("partition size:", t["part_size"])
+            print("partition dist(include replica)")
+            self._show_dist(
+                t["part_dist"],
+                max_width=max_width * get_max(t["part_dist"]) / max_values["mp"],
+            )
+            print("record count dist(include replica)")
+            self._show_dist(
+                t["count_dist"],
+                max_width=0
+                if max_values["mc"] == 0
+                else max_width * get_max(t["count_dist"]) / max_values["mc"],
+            )
+            print("mem dist(include replica)(MB)")
+            self._byte2mb(t["mem_dist"])
+            self._show_dist(
+                t["mem_dist"],
+                max_width=0
+                if max_values["mm"] == 0
+                else max_width * get_max(t["mem_dist"]) / max_values["mm"],
+            )
+            print("diskused dist(include replica)(MB)")
+            self._byte2mb(t["dused_dist"])
+            self._show_dist(
+                t["dused_dist"],
+                max_width=max_width * get_max(t["dused_dist"]) / max_values["md"],
+            )
 
         print()
-        print('total')
-        print('tablet2partition')
+        print("tablet server load distribution")
+        print("tablet2partition")
         self._show_dist(tablet2partition)
-        print('tablet2count')
+        print("tablet2count(row)")
         self._show_dist(tablet2count)
-        print('tablet2mem(MB)')
+        print("tablet2mem(MB)")
         self._byte2mb(tablet2mem)
         self._show_dist(tablet2mem)
-        print('tablet2diskused(MB)')
+        print("tablet2diskused(MB)")
         self._byte2mb(tablet2dused)
         self._show_dist(tablet2dused)
 
@@ -106,16 +126,24 @@ def _byte2mb(self, dist: dict):
 
     def _show_dist(self, dist: dict, max_width=40):
         figc = tpl.figure()
-        figc.barh(list(dist.values()), labels=list(dist.keys()), max_width=max_width)
+        if not dist:  # protect barh args
+            print("no data")
+            return
+        figc.barh(
+            list(dist.values()),
+            labels=list(dist.keys()),
+            max_width=max_width,
+            force_ascii=True,
+        )
         figc.show()
 
     def _collect(self, parts, field):
         dist = {}
         for part in parts:
-            for replica in part['partition_meta']:
-                if replica['endpoint'] not in dist:
-                    dist[replica['endpoint']] = 0
-                dist[replica['endpoint']] += replica[field] if field else 1
+            for replica in part["partition_meta"]:
+                if replica["endpoint"] not in dist:
+                    dist[replica["endpoint"]] = 0
+                dist[replica["endpoint"]] += replica[field] if field else 1
         return dist
 
     def _add_merge(self, dist, dist2):
diff --git a/python/openmldb_tool/setup.py b/python/openmldb_tool/setup.py
index 7b9a8dcf27f..555e5b51153 100644
--- a/python/openmldb_tool/setup.py
+++ b/python/openmldb_tool/setup.py
@@ -28,7 +28,7 @@
         "Programming Language :: Python :: 3",
     ],
     install_requires=[
-        "openmldb >= 0.6.9",
+        "openmldb >= 0.8.1",
         "absl-py",
         "pyyaml",
         "paramiko",
@@ -36,12 +36,12 @@
         "requests",
     ],
     extras_require={
-        "rpc": [
+        "pb": [
             "protobuf==3.6.1",
             "beautifulsoup4",
         ],
         "test": [
-            "openmldb-tool[rpc]",
+            "openmldb-tool[pb]",
             "pytest",
         ],
     },
diff --git a/python/openmldb_tool/tests/inspect_test.py b/python/openmldb_tool/tests/inspect_test.py
new file mode 100644
index 00000000000..6f5ece39c05
--- /dev/null
+++ b/python/openmldb_tool/tests/inspect_test.py
@@ -0,0 +1,355 @@
+import pytest
+from diagnostic_tool.inspect import show_table_info
+from absl import flags
+
+flags.FLAGS["nocolor"].parse(False)
+flags.FLAGS["table_width"].parse(12)
+
+
+def test_show():
+    # assume 3 tablet server
+    tablets = ["0.0.0.0:1111", "0.0.0.0:2222", "0.0.0.0:3333"]
+    tablet2idx = {tablet: i + 1 for i, tablet in enumerate(tablets)}
+    # simple
+    t_info = {
+        "name": "TABLE_A",
+        "table_partition": [
+            {
+                "pid": 0,
+                "partition_meta": [
+                    {
+                        "endpoint": tablets[0],
+                        "is_leader": True,
+                        # "offset": 0,
+                        # "record_cnt": 0,
+                        # "record_byte_size": 0,
+                        # "tablet_has_partition": true,
+                        # "diskused": 9025,
+                    },
+                    {
+                        "endpoint": tablets[1],
+                        "is_leader": False,
+                    },
+                ],
+                # "term_offset": [{"term": 1, "offset": 0}],
+                # "record_cnt": 0,
+                # "record_byte_size": 0,
+                # "diskused": 9025,
+            }
+        ],
+        "tid": 0,
+        "partition_num": 1,
+        "replica_num": 2,
+        "db": "DB_A",
+    }
+
+    replicas = {
+        0: {
+            0: {
+                tablets[0]: {
+                    "tid": 0,  # actually not used in show_table_info
+                    "pid": 0,  # not used in show_table_info
+                    "offset": 5, # check offset on tablet, not ns
+                    "mode": "kTableLeader",
+                    "state": "kTableNormal",
+                    # "is_expire": True,
+                    # "record_cnt": 1,
+                    # "idx_cnt": 1,
+                    # "ts_idx_status": [
+                    #     {"idx_name": "id", "seg_cnts": [0, 0, 0, 0, 0, 0, 1, 0]}
+                    # ],
+                    "name": "Foo",
+                    # "record_byte_size": 127,
+                    # "record_idx_byte_size": 177,
+                    # "record_pk_cnt": 1,
+                    # "compress_type": "kNoCompress",
+                    # "skiplist_height": 1,
+                    # "diskused": 10074,
+                    # "storage_mode": "kMemory",
+                    "tablet": tablets[0],
+                },
+                tablets[1]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[1],
+                },
+            }
+        }
+    }
+
+    show_table_info(t_info, replicas, tablet2idx)
+
+    print("healthy ns meta, but replicas on tablet are all follower")
+    t_info = {
+        "name": "TABLE_A",
+        "table_partition": [
+            {
+                "pid": 0,
+                "partition_meta": [
+                    {
+                        "endpoint": tablets[0],
+                        "is_leader": True,
+                    },
+                    {
+                        "endpoint": tablets[1],
+                        "is_leader": False,
+                    },
+                    {
+                        "endpoint": tablets[2],
+                        "is_leader": False,
+                    },
+                ],
+            }
+        ],
+        "tid": 0,
+        "partition_num": 1,
+        "replica_num": 3,
+        "db": "DB_A",
+    }
+    replicas = {
+        0: {
+            0: {
+                tablets[0]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[0],
+                },
+                tablets[1]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[1],
+                },
+                tablets[2]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[2],
+                },
+            }
+        }
+    }
+    show_table_info(t_info, replicas, tablet2idx)
+
+    print("ns meta all followers, no leader")
+    t_info = {
+        "name": "TABLE_A",
+        "table_partition": [
+            {
+                "pid": 0,
+                "partition_meta": [
+                    {
+                        "endpoint": tablets[0],
+                        "is_leader": False,
+                    },
+                    {
+                        "endpoint": tablets[1],
+                        "is_leader": False,
+                    },
+                    {
+                        "endpoint": tablets[2],
+                        "is_leader": False,
+                    },
+                ],
+            }
+        ],
+        "tid": 0,
+        "partition_num": 1,
+        "replica_num": 3,
+        "db": "DB_A",
+    }
+    replicas = {
+        0: {
+            0: {
+                tablets[0]: {
+                    "mode": "kTableLeader",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[0],
+                },
+                tablets[1]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[1],
+                },
+                tablets[2]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[2],
+                },
+            }
+        }
+    }
+    show_table_info(t_info, replicas, tablet2idx)
+
+    print("no corresponding replica on tablet server")
+    t_info = {
+        "name": "TABLE_A",
+        "table_partition": [
+            {
+                "pid": 0,
+                "partition_meta": [
+                    {
+                        "endpoint": tablets[0],
+                        "is_leader": True,
+                    },
+                    {
+                        "endpoint": tablets[1],
+                        "is_leader": False,
+                    },
+                    {
+                        "endpoint": tablets[2],
+                        "is_leader": False,
+                    },
+                ],
+            }
+        ],
+        "tid": 0,
+        "partition_num": 1,
+        "replica_num": 3,
+        "db": "DB_A",
+    }
+    replicas = {
+        0: {
+            0: {
+                tablets[1]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[1],
+                },
+                tablets[2]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                    "tablet": tablets[2],
+                },
+            }
+        }
+    }
+    show_table_info(t_info, replicas, tablet2idx)
+
+    print("meta match, but state is not normal")
+    t_info = {
+        "name": "TABLE_A",
+        "table_partition": [
+            {
+                "pid": 0,
+                "partition_meta": [
+                    {
+                        "endpoint": tablets[0],
+                        "is_leader": True,
+                    },
+                    {
+                        "endpoint": tablets[1],
+                        "is_leader": False,
+                    },
+                    {
+                        "endpoint": tablets[2],
+                        "is_leader": False,
+                    },
+                ],
+            },
+            {
+                "pid": 1,
+                "partition_meta": [
+                    {
+                        "endpoint": tablets[0],
+                        "is_leader": True,
+                    },
+                    {
+                        "endpoint": tablets[1],
+                        "is_leader": False,
+                    },
+                    {
+                        "endpoint": tablets[2],
+                        "is_leader": False,
+                    },
+                ],
+            },
+        ],
+        "tid": 0,
+        "partition_num": 2,
+        "replica_num": 3,
+        "db": "DB_A",
+    }
+    replicas = {
+        0: {
+            0: {
+                tablets[0]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableLoading",
+                    "offset": 0,
+                    "tablet": tablets[0],
+                },
+                tablets[1]: {
+                    "mode": "kTableFollower",
+                    "state": "kMakingSnapshot",
+                    "offset": 0,
+                    "tablet": tablets[1],
+                },
+                tablets[2]: {
+                    "mode": "kTableFollower",
+                    "state": "kSnapshotPaused",
+                    "offset": 0,
+                    "tablet": tablets[2],
+                },
+            },
+            1: {
+                tablets[1]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableUndefined",
+                    "offset": 0,
+                },
+                tablets[2]: {
+                    "mode": "kTableFollower",
+                    "state": "kTableNormal",
+                    "offset": 0,
+                },
+            },
+        }
+    }
+    show_table_info(t_info, replicas, tablet2idx)
+
+    print("more partitions, display well")
+    partnum = 13
+    meta_pattern = {
+        "partition_meta": [
+            {
+                "endpoint": tablets[0],
+                "is_leader": True,
+            },
+        ],
+    }
+    t_info = {
+        "name": "TABLE_A",
+        "table_partition": [],
+        "tid": 0,
+        "partition_num": partnum,
+        "replica_num": 1,
+        "db": "DB_A",
+    }
+    replicas = {0: {}}
+
+    for i in range(partnum):
+        t_info["table_partition"].append({"pid": i, **meta_pattern})
+
+    for i in range(partnum):
+        replicas[0][i] = {
+            tablets[0]: {
+                "mode": "kTableLeader",
+                "state": "kTableNormal",
+                "offset": 0,
+                "tablet": tablets[0],
+            }
+        }
+    print(t_info, replicas)
+    show_table_info(t_info, replicas, tablet2idx)
+
+    print("nocolor")
+    flags.FLAGS["nocolor"].parse(True)
+    show_table_info(t_info, replicas, tablet2idx)
diff --git a/src/proto/tablet.proto b/src/proto/tablet.proto
index 2944794b0d9..0938c9d965c 100755
--- a/src/proto/tablet.proto
+++ b/src/proto/tablet.proto
@@ -829,7 +829,7 @@ message BulkLoadInfoResponse {
                 required uint32 key = 1; // TODO(hw): java will use int, cpp uses uint32. Not good?
                 required uint32 value = 2;
             }
-            repeated MapFieldEntry ts_idx_map = 2; // TODO(hw): proto3 supports map
+            repeated MapFieldEntry ts_idx_map = 2; // TODO(hw): proto3 can build map in proto2 syntax
         }
         repeated Segment segment = 1;
     }

From 5dea9a373583e054ca66455a92b9eb56996b6c1a Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Tue, 31 Oct 2023 17:08:59 +0800
Subject: [PATCH 13/27] build(deps-dev): bump urllib3 from 1.26.17 to 1.26.18
 in /docs (#3558)

---
 docs/poetry.lock | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/poetry.lock b/docs/poetry.lock
index fa522bb44da..724b4f19340 100644
--- a/docs/poetry.lock
+++ b/docs/poetry.lock
@@ -670,13 +670,13 @@ test = ["coverage", "pytest", "pytest-cov"]
 
 [[package]]
 name = "urllib3"
-version = "1.26.17"
+version = "1.26.18"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "urllib3-1.26.17-py2.py3-none-any.whl", hash = "sha256:94a757d178c9be92ef5539b8840d48dc9cf1b2709c9d6b588232a055c524458b"},
-    {file = "urllib3-1.26.17.tar.gz", hash = "sha256:24d6a242c28d29af46c3fae832c36db3bbebcc533dd1bb549172cd739c82df21"},
+    {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"},
+    {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"},
 ]
 
 [package.extras]

From d00449d92173eaff0c28bcd8d28c68ee1e155323 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Tue, 31 Oct 2023 18:48:16 +0800
Subject: [PATCH 14/27] fix: desc (#3567)

---
 src/cmd/display.h | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/src/cmd/display.h b/src/cmd/display.h
index 6f01549bada..518d68463de 100644
--- a/src/cmd/display.h
+++ b/src/cmd/display.h
@@ -106,13 +106,14 @@ __attribute__((unused)) static void PrintColumnKey(
     t.add("ttl");
     t.add("ttl_type");
     t.end_of_row();
-
+    int index_pos = 1;
     for (int i = 0; i < column_key_field.size(); i++) {
         const auto& column_key = column_key_field.Get(i);
         if (column_key.flag() == 1) {
             continue;
         }
-        t.add(std::to_string(i + 1));
+        t.add(std::to_string(index_pos));
+        index_pos++;
         t.add(column_key.index_name());
         std::string key;
         for (const auto& name : column_key.col_name()) {

From 23d7c50f7881715753888832b05d6745d18024ff Mon Sep 17 00:00:00 2001
From: aceforeverd <teapot@aceforeverd.com>
Date: Thu, 9 Nov 2023 16:26:27 +0800
Subject: [PATCH 15/27] feat(sql): WINDOW without ORDER BY (#3554)

Rules:
- ALLOWED for ROWS-type WINDOW
- NOT ALLOWED for RANGE-type WINDOW with offset PRECEDING/FOLLOWING
- NOT ALLOWED for WINDOW with attribute EXCLUDE CURRENT_TIME

Without ORDER BY, rows are processed in an unspecified order.
---
 cases/function/window/error_window.yaml  |  32 +++-
 cases/query/window_query.yaml            | 231 +++++++++++++++++++++++
 hybridse/include/node/sql_node.h         |   3 +
 hybridse/include/vm/physical_op.h        |  12 +-
 hybridse/src/node/sql_node.cc            |   5 +
 hybridse/src/plan/planner.cc             |   1 -
 hybridse/src/testing/engine_test_base.cc |  20 +-
 hybridse/src/vm/runner.cc                |  37 ++--
 hybridse/src/vm/transform.cc             |  28 ++-
 9 files changed, 326 insertions(+), 43 deletions(-)

diff --git a/cases/function/window/error_window.yaml b/cases/function/window/error_window.yaml
index 9e9419bc74f..8b41d1ff0bf 100644
--- a/cases/function/window/error_window.yaml
+++ b/cases/function/window/error_window.yaml
@@ -17,15 +17,17 @@ debugs: []
 version: 0.5.0
 cases:
   - id: 0
-    desc: no order by
+    desc: RANGE-type WINDOW with offset PRECEDING/FOLLOWING requires ORDER BY
     inputs:
       - columns: [ "id int","c1 string","c3 int","c4 bigint","c5 float","c6 double","c7 timestamp","c8 date" ]
         indexs: [ "index1:c8:c4" ]
         rows:
           - [1,"aa",20,30,1.1,2.1,1590738990000,"2020-05-01"]
     sql: |
-      SELECT id, c1, c4, count(c4) OVER w1 as w1_c4_count FROM {0} WINDOW w1 AS (PARTITION BY {0}.c8 ROWS BETWEEN 2 PRECEDING AND CURRENT ROW);
+      SELECT id, c1, c4, count(c4) OVER w1 as w1_c4_count FROM {0}
+      WINDOW w1 AS (PARTITION BY {0}.c8 ROWS_RANGE BETWEEN 2 PRECEDING AND CURRENT ROW);
     expect:
+      msg: RANGE/ROWS_RANGE-type FRAME with offset PRECEDING/FOLLOWING requires exactly one ORDER BY column
       success: false
   - id: 1
     desc: no partition by
@@ -301,3 +303,29 @@ cases:
       SELECT id, c1, c3, sum(c4) OVER w1 as w1_c4_sum FROM {0} WINDOW w1 AS (PARTITION BY {0}.c33 ORDER BY {0}.c7 ROWS_RANGE BETWEEN 2s PRECEDING AND CURRENT ROW);
     expect:
       success: false
+  - id: 17
+    desc: ROWS WINDOW + EXCLUDE CURRENT_TIME requires order by
+    inputs:
+      - columns: [ "id int","c1 string","c3 int","c4 bigint","c5 float","c6 double","c7 timestamp","c8 date" ]
+        indexs: [ "index1:c8:c4" ]
+        rows:
+          - [1,"aa",20,30,1.1,2.1,1590738990000,"2020-05-01"]
+    sql: |
+      SELECT id, c1, c4, count(c4) OVER w1 as w1_c4_count FROM {0}
+      WINDOW w1 AS (PARTITION BY {0}.c8 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW EXCLUDE CURRENT_TIME);
+    expect:
+      msg: WINDOW with EXCLUDE CURRENT_TIME requires exactly one ORDER BY column
+      success: false
+  - id: 18
+    desc: RANGE WINDOW + EXCLUDE CURRENT_TIME requires order by
+    inputs:
+      - columns: [ "id int","c1 string","c3 int","c4 bigint","c5 float","c6 double","c7 timestamp","c8 date" ]
+        indexs: [ "index1:c8:c4" ]
+        rows:
+          - [1,"aa",20,30,1.1,2.1,1590738990000,"2020-05-01"]
+    sql: |
+      SELECT id, c1, c4, count(c4) OVER w1 as w1_c4_count FROM {0}
+      WINDOW w1 AS (PARTITION BY {0}.c8 ROWS_RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW EXCLUDE CURRENT_TIME);
+    expect:
+      msg: WINDOW with EXCLUDE CURRENT_TIME requires exactly one ORDER BY column
+      success: false
diff --git a/cases/query/window_query.yaml b/cases/query/window_query.yaml
index 84365be97f7..3c64259d8c5 100644
--- a/cases/query/window_query.yaml
+++ b/cases/query/window_query.yaml
@@ -901,3 +901,234 @@ cases:
         200, 1, 1
         300, 0, 0
         400, 2, 2
+
+  # ======================================================================
+  # WINDOW without ORDER BY
+  # ======================================================================
+  - id: 24
+    desc: ROWS WINDOW WITHOUT ORDER BY
+    mode: batch-unsupport
+    inputs:
+      - name: t1
+        columns:
+          - id int
+          - gp int
+          - ts timestamp
+        indexs:
+          - idx:gp:ts
+        data: |
+          1, 100, 20000
+          2, 100, 10000
+          3, 400, 20000
+          4, 400, 10000
+          5, 400, 15000
+          6, 400, 40000
+    sql: |
+      select id, count(ts) over w as agg
+      from t1
+      window w as (
+        partition by gp
+        rows between 2 open preceding and current row
+      )
+    request_plan: |
+      PROJECT(type=Aggregation)
+        REQUEST_UNION(partition_keys=(), orders=, rows=(, 2 OPEN PRECEDING, 0 CURRENT), index_keys=(gp))
+          DATA_PROVIDER(request=t1)
+          DATA_PROVIDER(type=Partition, table=t1, index=idx)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(id, agg))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          SIMPLE_PROJECT(sources=(id))
+            DATA_PROVIDER(request=t1)
+          PROJECT(type=Aggregation)
+            REQUEST_UNION(partition_keys=(), orders=, rows=(, 2 OPEN PRECEDING, 0 CURRENT), index_keys=(gp))
+              DATA_PROVIDER(request=t1)
+              DATA_PROVIDER(type=Partition, table=t1, index=idx)
+    expect:
+      columns: ["id int", "agg int64"]
+      order: id
+      data: |
+        1, 1
+        2, 2
+        3, 1
+        4, 2
+        5, 2
+        6, 2
+  - id: 25
+    desc: RANGE WINDOW WITHOUT ORDER BY
+    mode: batch-unsupport
+    inputs:
+      - name: t1
+        columns:
+          - id int
+          - gp int
+          - ts timestamp
+        indexs:
+          - idx:gp:ts
+        data: |
+          1, 100, 20000
+          2, 100, 10000
+          3, 400, 20000
+          4, 400, 10
+          5, 400, 15000
+    sql: |
+      select id, count(ts) over w as agg
+      from t1
+      window w as (
+        partition by gp
+        rows_range between unbounded preceding and current row
+      )
+    request_plan: |
+      PROJECT(type=Aggregation)
+        REQUEST_UNION(partition_keys=(), orders=, range=(, 0 PRECEDING UNBOUND, 0 CURRENT), index_keys=(gp))
+          DATA_PROVIDER(request=t1)
+          DATA_PROVIDER(type=Partition, table=t1, index=idx)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(id, agg))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          SIMPLE_PROJECT(sources=(id))
+            DATA_PROVIDER(request=t1)
+          PROJECT(type=Aggregation)
+            REQUEST_UNION(partition_keys=(), orders=, range=(, 0 PRECEDING UNBOUND, 0 CURRENT), index_keys=(gp))
+              DATA_PROVIDER(request=t1)
+              DATA_PROVIDER(type=Partition, table=t1, index=idx)
+    expect:
+      columns: ["id int", "agg int64"]
+      order: id
+      data: |
+        1, 1
+        2, 2
+        3, 1
+        4, 2
+        5, 3
+  - id: 26
+    desc: RANGE-type WINDOW WITHOUT ORDER BY + WINDOW attributes
+    mode: batch-unsupport
+    inputs:
+      - name: t1
+        columns:
+          - id int
+          - gp int
+          - ts timestamp
+        indexs:
+          - idx:gp:ts
+        data: |
+          1, 100, 20000
+          2, 100, 10000
+          3, 400, 20000
+          4, 400, 10000
+          5, 400, 15000
+      - name: t2
+        columns:
+          - id int
+          - gp int
+          - ts timestamp
+        indexs:
+          - idx:gp:ts
+        data: |
+          1, 100, 20000
+          2, 100, 10000
+          3, 400, 20000
+          4, 400, 10000
+          5, 400, 15000
+    sql: |
+      select id,
+        count(ts) over w1 as agg1,
+        count(ts) over w2 as agg2,
+        count(ts) over w3 as agg3,
+        count(ts) over w4 as agg4,
+        count(ts) over w5 as agg5,
+        count(ts) over w6 as agg6,
+        count(ts) over w7 as agg7,
+      from t1
+      window w1 as (
+        PARTITION by gp
+        ROWS_RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW),
+      w2 as (partition by gp
+        ROWS_RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW EXCLUDE CURRENT_ROW),
+      w3 as (PARTITION BY gp
+        ROWS_RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW MAXSIZE 1),
+      w4 as (
+        UNION (select * from t2)
+        PARTITION BY gp
+        ROWS_RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW INSTANCE_NOT_IN_WINDOW),
+      w5 as (
+        UNION (select * from t2)
+        PARTITION BY gp
+        ROWS_RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW INSTANCE_NOT_IN_WINDOW EXCLUDE CURRENT_ROW),
+      w6 as (
+        UNION (select * from t2)
+        PARTITION BY gp
+        ROWS_RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW MAXSIZE 2 INSTANCE_NOT_IN_WINDOW EXCLUDE CURRENT_ROW),
+      w7 as (
+        UNION (select * from t2)
+        PARTITION BY gp
+        ROWS_RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW EXCLUDE CURRENT_ROW)
+    expect:
+      columns: ["id int", "agg1 int64", "agg2 int64", "agg3 int64", "agg4 int64", "agg5 int64", "agg6 int64", "agg7 int64"]
+      order: id
+      data: |
+        1, 1, 0, 1, 3, 2, 2, 2
+        2, 2, 1, 1, 3, 2, 2, 3
+        3, 1, 0, 1, 4, 3, 2, 3
+        4, 2, 1, 1, 4, 3, 2, 4
+        5, 3, 2, 1, 4, 3, 2, 5
+  - id: 27
+    desc: ROWS-type WINDOW WITHOUT ORDER BY + WINDOW attributes
+    mode: batch-unsupport
+    inputs:
+      - name: t1
+        columns:
+          - id int
+          - gp int
+          - ts timestamp
+        indexs:
+          - idx:gp:ts
+        data: |
+          1, 100, 20000
+          2, 100, 10000
+          3, 400, 20000
+          4, 400, 10000
+          5, 400, 15000
+      - name: t2
+        columns:
+          - id int
+          - gp int
+          - ts timestamp
+        indexs:
+          - idx:gp:ts
+        data: |
+          1, 100, 20000
+          2, 100, 10000
+          3, 400, 20000
+          4, 400, 10000
+          5, 400, 15000
+    sql: |
+      select id,
+        count(ts) over w1 as agg1,
+        count(ts) over w2 as agg2,
+        count(ts) over w3 as agg3,
+        count(ts) over w4 as agg4,
+      from t1
+      window w1 as (
+        PARTITION by gp
+        ROWS BETWEEN 2 PRECEDING AND CURRENT ROW),
+      w2 as (partition by gp
+        ROWS BETWEEN 2 PRECEDING AND CURRENT ROW EXCLUDE CURRENT_ROW),
+      w3 as (
+        UNION (select * from t2)
+        PARTITION BY gp
+        ROWS BETWEEN 2 PRECEDING AND CURRENT ROW INSTANCE_NOT_IN_WINDOW),
+      w4 as (
+        UNION (select * from t2)
+        PARTITION BY gp
+        ROWS BETWEEN 3 PRECEDING AND CURRENT ROW INSTANCE_NOT_IN_WINDOW EXCLUDE CURRENT_ROW)
+    expect:
+      columns: ["id int", "agg1 int64", "agg2 int64", "agg3 int64", "agg4 int64"]
+      order: id
+      data: |
+        1, 1, 0, 3, 2
+        2, 2, 1, 3, 2
+        3, 1, 0, 3, 3
+        4, 2, 1, 3, 3
+        5, 3, 2, 3, 3
diff --git a/hybridse/include/node/sql_node.h b/hybridse/include/node/sql_node.h
index bbdfc83313f..dcf162a96ab 100644
--- a/hybridse/include/node/sql_node.h
+++ b/hybridse/include/node/sql_node.h
@@ -1166,6 +1166,9 @@ class FrameBound : public SqlNode {
     int64_t GetOffset() const { return offset_; }
     void SetOffset(int64_t v) { offset_ = v; }
 
+    // is offset [OPEN] PRECEDING/FOLLOWING
+    bool is_offset_bound() const;
+
 
     /// \brief get the inclusive frame bound offset value that has signed symbol
     ///
diff --git a/hybridse/include/vm/physical_op.h b/hybridse/include/vm/physical_op.h
index ee3634615c8..d2fdafb5349 100644
--- a/hybridse/include/vm/physical_op.h
+++ b/hybridse/include/vm/physical_op.h
@@ -200,9 +200,9 @@ class Range : public FnComponent {
     const bool Valid() const { return nullptr != range_key_; }
     const std::string ToString() const {
         std::ostringstream oss;
-        if (nullptr != range_key_ && nullptr != frame_) {
+        if (nullptr != frame_) {
             if (nullptr != frame_->frame_range()) {
-                oss << "range=(" << range_key_->GetExprString() << ", "
+                oss << "range=(" << node::ExprString(range_key_) << ", "
                     << frame_->frame_range()->start()->GetExprString() << ", "
                     << frame_->frame_range()->end()->GetExprString();
 
@@ -216,7 +216,7 @@ class Range : public FnComponent {
                 if (nullptr != frame_->frame_range()) {
                     oss << ", ";
                 }
-                oss << "rows=(" << range_key_->GetExprString() << ", "
+                oss << "rows=(" << node::ExprString(range_key_) << ", "
                     << frame_->frame_rows()->start()->GetExprString() << ", "
                     << frame_->frame_rows()->end()->GetExprString() << ")";
             }
@@ -578,7 +578,7 @@ class PhysicalRequestProviderNode : public PhysicalDataProviderNode {
                                  PhysicalOpNode **out) override;
 
     virtual ~PhysicalRequestProviderNode() {}
-    virtual void Print(std::ostream &output, const std::string &tab) const;
+    void Print(std::ostream &output, const std::string &tab) const override;
 };
 
 class PhysicalRequestProviderNodeWithCommonColumn
@@ -846,9 +846,7 @@ class WindowOp {
         std::ostringstream oss;
         oss << "partition_" << partition_.ToString();
         oss << ", " << sort_.ToString();
-        if (range_.Valid()) {
-            oss << ", " << range_.ToString();
-        }
+        oss << ", " << range_.ToString();
         return oss.str();
     }
     const std::string FnDetail() const {
diff --git a/hybridse/src/node/sql_node.cc b/hybridse/src/node/sql_node.cc
index 16b88cd51ba..6fa2a82d42a 100644
--- a/hybridse/src/node/sql_node.cc
+++ b/hybridse/src/node/sql_node.cc
@@ -2100,6 +2100,11 @@ void FrameBound::Print(std::ostream &output, const std::string &org_tab) const {
     }
 }
 
+bool FrameBound::is_offset_bound() const {
+    return bound_type_ == kPreceding || bound_type_ == kOpenPreceding || bound_type_ == kFollowing ||
+           bound_type_ == kOpenFollowing;
+}
+
 int FrameBound::Compare(const FrameBound *bound1, const FrameBound *bound2) {
     if (SqlEquals(bound1, bound2)) {
         return 0;
diff --git a/hybridse/src/plan/planner.cc b/hybridse/src/plan/planner.cc
index c0a68e3104e..1584d76acbb 100644
--- a/hybridse/src/plan/planner.cc
+++ b/hybridse/src/plan/planner.cc
@@ -18,7 +18,6 @@
 
 #include <algorithm>
 #include <map>
-#include <random>
 #include <set>
 #include <string>
 #include <utility>
diff --git a/hybridse/src/testing/engine_test_base.cc b/hybridse/src/testing/engine_test_base.cc
index ca1af237936..2c3134d1257 100644
--- a/hybridse/src/testing/engine_test_base.cc
+++ b/hybridse/src/testing/engine_test_base.cc
@@ -240,8 +240,7 @@ void DoEngineCheckExpect(const SqlCase& sql_case, std::shared_ptr<RunSession> se
         if (!output_common_column_indices.empty() &&
             output_common_column_indices.size() != static_cast<size_t>(schema.size()) &&
             sql_ctx.is_batch_request_optimized) {
-            LOG(INFO) << "Reorder batch request outputs for non-trival common "
-                         "columns";
+            DLOG(INFO) << "Reorder batch request outputs for non-trival columns";
 
             auto& expect_common_column_indices = sql_case.expect().common_column_indices_;
             if (!expect_common_column_indices.empty()) {
@@ -375,7 +374,7 @@ Status EngineTestRunner::Compile() {
         std::string placeholder = "{" + std::to_string(j) + "}";
         boost::replace_all(sql_str, placeholder, sql_case_.inputs_[j].name_);
     }
-    LOG(INFO) << "Compile SQL:\n" << sql_str;
+    DLOG(INFO) << "Compile SQL:\n" << sql_str;
     CHECK_TRUE(session_ != nullptr, common::kTestEngineError, "Session is not set");
     if (hybridse::sqlcase::SqlCase::IsDebug() || sql_case_.debug()) {
         session_->EnableDebug();
@@ -395,22 +394,23 @@ Status EngineTestRunner::Compile() {
     bool ok = engine_->Get(sql_str, sql_case_.db(), *session_, status);
     gettimeofday(&et, nullptr);
     double mill = (et.tv_sec - st.tv_sec) * 1000 + (et.tv_usec - st.tv_usec) / 1000.0;
-    LOG(INFO) << "SQL Compile take " << mill << " milliseconds";
+    DLOG(INFO) << "SQL Compile take " << mill << " milliseconds";
 
     if (!ok || !status.isOK()) {
-        LOG(INFO) << status;
+        DLOG(INFO) << status;
+        if (!sql_case_.expect().msg_.empty()) {
+            EXPECT_EQ(sql_case_.expect().msg_, status.msg);
+        }
         return_code_ = ENGINE_TEST_RET_COMPILE_ERROR;
     } else {
-        LOG(INFO) << "SQL output schema:";
+        DLOG(INFO) << "SQL output schema:";
         std::ostringstream oss;
         std::dynamic_pointer_cast<SqlCompileInfo>(session_->GetCompileInfo())->GetPhysicalPlan()->Print(oss, "");
-        LOG(INFO) << "Physical plan:";
-        std::cerr << oss.str() << std::endl;
+        DLOG(INFO) << "Physical plan:\n" << oss.str();
 
         std::ostringstream runner_oss;
         std::dynamic_pointer_cast<SqlCompileInfo>(session_->GetCompileInfo())->GetClusterJob().Print(runner_oss, "");
-        LOG(INFO) << "Runner plan:";
-        std::cerr << runner_oss.str() << std::endl;
+        DLOG(INFO) << "Runner plan:\n" << runner_oss.str();
     }
     return status;
 }
diff --git a/hybridse/src/vm/runner.cc b/hybridse/src/vm/runner.cc
index be954653b91..586f75c6187 100644
--- a/hybridse/src/vm/runner.cc
+++ b/hybridse/src/vm/runner.cc
@@ -2785,6 +2785,7 @@ std::shared_ptr<DataHandler> RequestUnionRunner::Run(
 
     auto request = std::dynamic_pointer_cast<RowHandler>(left)->GetValue();
 
+    // ts_gen < 0 if there is no ORDER BY clause for WINDOW
     int64_t ts_gen = range_gen_.Valid() ? range_gen_.ts_gen_.Gen(request) : -1;
 
     // Prepare Union Window
@@ -2798,31 +2799,35 @@ std::shared_ptr<DataHandler> RequestUnionRunner::Run(
 std::shared_ptr<TableHandler> RequestUnionRunner::RequestUnionWindow(
     const Row& request, std::vector<std::shared_ptr<TableHandler>> union_segments, int64_t ts_gen,
     const WindowRange& window_range, bool output_request_row, bool exclude_current_time) {
-    uint64_t start = 0;
-    // end is empty means end value < 0, that there is no effective window range
+    // range_start, range_end default to [0, MAX], so for the case without ORDER BY,
+    // RANGE-type WINDOW includes all rows in partition
+    uint64_t range_start = 0;
+    // range_end is empty means end value < 0, that there is no effective window range
     // this happend when `ts_gen` is 0 and exclude current_time needed
-    std::optional<uint64_t> end = UINT64_MAX;
-    uint64_t rows_start_preceding = 0;
-    uint64_t max_size = 0;
+    std::optional<uint64_t> range_end = UINT64_MAX;
+    uint64_t rows_start_preceding = window_range.start_row_;
+    uint64_t max_size = window_range.max_size_;
     if (ts_gen >= 0) {
-        start = (ts_gen + window_range.start_offset_) < 0
+        range_start = (ts_gen + window_range.start_offset_) < 0
                     ? 0
                     : (ts_gen + window_range.start_offset_);
         if (exclude_current_time && 0 == window_range.end_offset_) {
             if (ts_gen == 0) {
-                end = {};
+                range_end = {};
             } else {
-                end = ts_gen - 1;
+                range_end = ts_gen - 1;
             }
         } else {
-            end = (ts_gen + window_range.end_offset_) < 0
+            range_end = (ts_gen + window_range.end_offset_) < 0
                       ? 0
                       : (ts_gen + window_range.end_offset_);
         }
-        rows_start_preceding = window_range.start_row_;
-        max_size = window_range.max_size_;
     }
-    uint64_t request_key = ts_gen > 0 ? static_cast<uint64_t>(ts_gen) : 0;
+    // INT64_MAX is the magic number as row key of input row,
+    // when WINDOW without ORDER BY
+    //
+    // DONT BELIEVE THE UNSIGNED TYPE, codegen still use int64_t as data type
+    uint64_t request_key = ts_gen >= 0 ? static_cast<uint64_t>(ts_gen) : INT64_MAX;
 
     auto window_table = std::make_shared<MemTimeTableHandler>();
 
@@ -2841,7 +2846,7 @@ std::shared_ptr<TableHandler> RequestUnionRunner::RequestUnionWindow(
             union_segment_status[i] = IteratorStatus();
             continue;
         }
-        union_segment_iters[i]->Seek(end.value_or(0));
+        union_segment_iters[i]->Seek(range_end.value_or(0));
         if (!union_segment_iters[i]->Valid()) {
             union_segment_status[i] = IteratorStatus();
             continue;
@@ -2854,7 +2859,7 @@ std::shared_ptr<TableHandler> RequestUnionRunner::RequestUnionWindow(
     uint64_t cnt = 0;
     auto range_status = window_range.GetWindowPositionStatus(
         cnt > rows_start_preceding, window_range.end_offset_ < 0,
-        request_key < start);
+        request_key < range_start);
     if (output_request_row) {
         window_table->AddRow(request_key, request);
     }
@@ -2868,8 +2873,8 @@ std::shared_ptr<TableHandler> RequestUnionRunner::RequestUnionWindow(
         }
         auto range_status = window_range.GetWindowPositionStatus(
             cnt > rows_start_preceding,
-            union_segment_status[max_union_pos].key_ > end,
-            union_segment_status[max_union_pos].key_ < start);
+            union_segment_status[max_union_pos].key_ > range_end,
+            union_segment_status[max_union_pos].key_ < range_start);
         if (WindowRange::kExceedWindow == range_status) {
             break;
         }
diff --git a/hybridse/src/vm/transform.cc b/hybridse/src/vm/transform.cc
index 8020c99741f..d52667dbc6f 100644
--- a/hybridse/src/vm/transform.cc
+++ b/hybridse/src/vm/transform.cc
@@ -25,8 +25,6 @@
 #include "codegen/context.h"
 #include "codegen/fn_ir_builder.h"
 #include "codegen/fn_let_ir_builder.h"
-#include "passes/expression/expr_pass.h"
-#include "passes/lambdafy_projects.h"
 #include "passes/physical/batch_request_optimize.h"
 #include "passes/physical/cluster_optimized.h"
 #include "passes/physical/condition_optimized.h"
@@ -2230,13 +2228,29 @@ Status BatchModeTransformer::CheckWindow(
     const node::WindowPlanNode* w_ptr, const vm::SchemasContext* schemas_ctx) {
     CHECK_TRUE(w_ptr != nullptr, common::kPlanError, "NULL Window");
     CHECK_TRUE(!node::ExprListNullOrEmpty(w_ptr->GetKeys()), common::kPlanError,
-               "Invalid Window: Do not support window on non-partition");
-    CHECK_TRUE(nullptr != w_ptr->GetOrders() &&
-                   !node::ExprListNullOrEmpty(w_ptr->GetOrders()->order_expressions_),
-               common::kPlanError,
-               "Invalid Window: Do not support window on non-order");
+               "un-implemented: WINDOW without PARTITION BY clause");
     CHECK_STATUS(CheckHistoryWindowFrame(w_ptr));
 
+    //  without ORDER BY clause:
+    if (w_ptr->GetOrders() == nullptr || node::ExprListNullOrEmpty(w_ptr->GetOrders()->order_expressions())) {
+        //  1. forbidden: RANGE/ROWS_RANGE WINDOW WITH offset PRECEDING/FOLLOWING
+        if (w_ptr->frame_node()->frame_type() != node::FrameType::kFrameRows) {
+            auto* range = w_ptr->frame_node()->frame_range();
+            if ((range->start() && range->start()->is_offset_bound()) ||
+                (range->end() && range->end()->is_offset_bound())) {
+                CHECK_TRUE(
+                    false, common::kPlanError,
+                    "RANGE/ROWS_RANGE-type FRAME with offset PRECEDING/FOLLOWING requires exactly one ORDER BY column")
+            }
+        }
+
+        // 2. forbidden: WINDOW without ORDER BY + EXCLUDE CURRENT_TIME
+        if (w_ptr->exclude_current_time()) {
+            CHECK_TRUE(false, common::kPlanError,
+                       "WINDOW with EXCLUDE CURRENT_TIME requires exactly one ORDER BY column");
+        }
+    }
+
     CHECK_STATUS(CheckTimeOrIntegerOrderColumn(w_ptr->GetOrders(), schemas_ctx));
 
     return Status::OK();

From c3aafce0149c231f08ba2e370437a98f80c795d4 Mon Sep 17 00:00:00 2001
From: HuangWei <huangwei@apache.org>
Date: Fri, 10 Nov 2023 15:20:16 +0800
Subject: [PATCH 16/27] docs: change udf and faq level, add sql guide (#3534)

* docs: change udf and faq level, add sql guide

* Update beginner_must_read.md

---------

Co-authored-by: LU MIAN <lumianph@gmail.com>
---
 .github/workflows/udf-doc.yml                 |   4 +-
 .../built_in_function_develop_guide.md        |   2 +-
 docs/en/developer/udf_develop_guide.md        |   2 +-
 docs/en/reference/sql/dql/WINDOW_CLAUSE.md    |   2 +-
 docs/en/reference/sql/index.rst               |   1 +
 .../index.rst                                 |   3 +-
 .../operators.md                              |   0
 .../Files => }/udfs_8h.md                     | 884 +++++++++---------
 docs/zh/deploy/index.rst                      |   1 -
 .../built_in_function_develop_guide.md        |   5 +-
 docs/zh/faq/client_faq.md                     |  88 ++
 docs/zh/faq/index.rst                         |  10 +
 docs/zh/faq/server_faq.md                     |  61 ++
 docs/zh/index.rst                             |   1 +
 docs/zh/maintain/faq.md                       | 130 ---
 docs/zh/maintain/index.rst                    |   1 -
 docs/zh/maintain/openmldb_ops.md              |   5 +-
 docs/zh/openmldb_sql/dql/WINDOW_CLAUSE.md     |  38 +-
 .../functions_and_operators/index.rst         |   1 -
 docs/zh/openmldb_sql/index.rst                |   1 +
 docs/zh/openmldb_sql/sql_difference.md        |   4 +-
 docs/zh/openmldb_sql/udf_develop_guide.md     |   2 +-
 .../Files => }/udfs_8h.md                     | 884 +++++++++---------
 docs/zh/quickstart/beginner_must_read.md      |  84 +-
 docs/zh/tutorial/index.rst                    |   1 -
 .../tools/documentation/udf_doxygen/Makefile  |   4 +-
 .../tools/documentation/udf_doxygen/README.md |   2 +-
 .../documentation/udf_doxygen/config.json     |   2 +-
 28 files changed, 1162 insertions(+), 1061 deletions(-)
 rename docs/en/reference/sql/{functions_and_operators => operators}/index.rst (65%)
 rename docs/en/reference/sql/{functions_and_operators => operators}/operators.md (100%)
 rename docs/en/reference/sql/{functions_and_operators/Files => }/udfs_8h.md (68%)
 create mode 100644 docs/zh/faq/client_faq.md
 create mode 100644 docs/zh/faq/index.rst
 create mode 100644 docs/zh/faq/server_faq.md
 delete mode 100644 docs/zh/maintain/faq.md
 rename docs/zh/openmldb_sql/{functions_and_operators/Files => }/udfs_8h.md (68%)

diff --git a/.github/workflows/udf-doc.yml b/.github/workflows/udf-doc.yml
index bb57bac2110..5a0e6b33807 100644
--- a/.github/workflows/udf-doc.yml
+++ b/.github/workflows/udf-doc.yml
@@ -54,8 +54,8 @@ jobs:
         if: github.event_name != 'pull_request'
         with:
           add-paths: |
-            docs/en/reference/sql/functions_and_operators/Files/udfs_8h.md
-            docs/zh/openmldb_sql/functions_and_operators/Files/udfs_8h.md
+            docs/en/reference/sql/udfs_8h.md
+            docs/zh/openmldb_sql/udfs_8h.md
           labels: |
             udf
           branch: docs-udf-patch
diff --git a/docs/en/developer/built_in_function_develop_guide.md b/docs/en/developer/built_in_function_develop_guide.md
index 3e6eaa2852a..97d00076f87 100644
--- a/docs/en/developer/built_in_function_develop_guide.md
+++ b/docs/en/developer/built_in_function_develop_guide.md
@@ -792,7 +792,7 @@ select date(timestamp(1590115420000)) as dt;
 
 ## 5. Document Management
 
-Documents for all built-in functions can be found in [Built-in Functions](http://4paradigm.github.io/OpenMLDB/zh/main/reference/sql/functions_and_operators/Files/udfs_8h.html). It is a markdown file automatically generated from source, so please do not edit it directly.
+Documents for all built-in functions can be found in [Built-in Functions](http://4paradigm.github.io/OpenMLDB/zh/main/reference/sql/udfs_8h.html). It is a markdown file automatically generated from source, so please do not edit it directly.
 
 - If you are adding a document for a new function, please refer to [2.2.4 Documenting Function](#224-documenting-function). 
 - If you are trying to revise a document of an existing function, you can find source code in the files of `hybridse/src/udf/default_udf_library.cc` or `hybridse/src/udf/default_defs/*_def.cc` .
diff --git a/docs/en/developer/udf_develop_guide.md b/docs/en/developer/udf_develop_guide.md
index 63530ae0f1c..4c5aff6d2e1 100644
--- a/docs/en/developer/udf_develop_guide.md
+++ b/docs/en/developer/udf_develop_guide.md
@@ -9,7 +9,7 @@ SQL functions can be categorised into scalar functions and aggregate functions.
 #### 2.1.1 Naming Specification of C++ Built-in Function
 - The naming of C++ built-in function should follow the [snake_case](https://en.wikipedia.org/wiki/Snake_case) style.
 - The name should clearly express the function's purpose.
-- The name of a function should not be the same as the name of a built-in function or other custom functions. The list of all built-in functions can be seen [here](../reference/sql/functions_and_operators/Files/udfs_8h.md).
+- The name of a function should not be the same as the name of a built-in function or other custom functions. The list of all built-in functions can be seen [here](../reference/sql/udfs_8h.md).
 
 #### 2.1.2 
 The types of the built-in C++ functions' parameters should be BOOL, NUMBER, TIMESTAMP, DATE, or STRING.
diff --git a/docs/en/reference/sql/dql/WINDOW_CLAUSE.md b/docs/en/reference/sql/dql/WINDOW_CLAUSE.md
index bbc71a4f222..f3add760280 100644
--- a/docs/en/reference/sql/dql/WINDOW_CLAUSE.md
+++ b/docs/en/reference/sql/dql/WINDOW_CLAUSE.md
@@ -320,5 +320,5 @@ WINDOW w1 AS (PARTITION BY col1 ORDER BY col5 ROWS_RANGE BETWEEN 10s PRECEDING A
 ```
 
 ```{seealso}
-Please refer to [Built-in Functions](../functions_and_operators/Files/udfs_8h.md) for aggregate functions that can be used in window computation.
+Please refer to [Built-in Functions](../udfs_8h.md) for aggregate functions that can be used in window computation.
 ````
diff --git a/docs/en/reference/sql/index.rst b/docs/en/reference/sql/index.rst
index ee57dbac297..58bcc3e5502 100644
--- a/docs/en/reference/sql/index.rst
+++ b/docs/en/reference/sql/index.rst
@@ -9,6 +9,7 @@ SQL
     language_structure/index 
     data_types/index
     functions_and_operators/index
+    udfs_8h
     dql/index
     dml/index
     ddl/index
diff --git a/docs/en/reference/sql/functions_and_operators/index.rst b/docs/en/reference/sql/operators/index.rst
similarity index 65%
rename from docs/en/reference/sql/functions_and_operators/index.rst
rename to docs/en/reference/sql/operators/index.rst
index b889a6e8a87..db068373e46 100644
--- a/docs/en/reference/sql/functions_and_operators/index.rst
+++ b/docs/en/reference/sql/operators/index.rst
@@ -1,5 +1,5 @@
 =============================
-Expressions, Functions, and Operations
+Expressions and Operations
 =============================
 
 
@@ -7,4 +7,3 @@ Expressions, Functions, and Operations
     :maxdepth: 1
 
     operators
-    Files/udfs_8h
diff --git a/docs/en/reference/sql/functions_and_operators/operators.md b/docs/en/reference/sql/operators/operators.md
similarity index 100%
rename from docs/en/reference/sql/functions_and_operators/operators.md
rename to docs/en/reference/sql/operators/operators.md
diff --git a/docs/en/reference/sql/functions_and_operators/Files/udfs_8h.md b/docs/en/reference/sql/udfs_8h.md
similarity index 68%
rename from docs/en/reference/sql/functions_and_operators/Files/udfs_8h.md
rename to docs/en/reference/sql/udfs_8h.md
index d1696b6c764..9cfab05977f 100644
--- a/docs/en/reference/sql/functions_and_operators/Files/udfs_8h.md
+++ b/docs/en/reference/sql/udfs_8h.md
@@ -10,158 +10,158 @@ title: udfs/udfs.h
 
 | Name          | Description    |
 | -------------- | -------------- |
-| **[abs](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-abs)**()| <br>Return the absolute value of expr. |
-| **[acos](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-acos)**()| <br>Return the arc cosine of expr. |
-| **[add](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-add)**()| <br>Compute sum of two arguments. |
-| **[add_months](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-add-months)**()| <br>adds an integer months to a given date, returning the resulting date. |
-| **[array_contains](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-array-contains)**()| <br>array_contains(array, value) - Returns true if the array contains the value. |
-| **[asin](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-asin)**()| <br>Return the arc sine of expr. |
-| **[at](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-at)**()| |
-| **[atan](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-atan)**()| <br>Return the arc tangent of expr If called with one parameter, this function returns the arc tangent of expr. If called with two parameters X and Y, this function returns the arc tangent of Y / X. |
-| **[atan2](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-atan2)**()| <br>Return the arc tangent of Y / X.. |
-| **[avg](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-avg)**()| <br>Compute average of values. |
-| **[avg_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-avg-cate)**()| <br>Compute average of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[avg_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V', separated by comma, and sorted by key in ascend order. |
-| **[avg_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-avg-where)**()| <br>Compute average of values match specified condition. |
-| **[bigint](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-bigint)**()| |
-| **[bool](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-bool)**()| <br>Cast string expression to bool. |
-| **[ceil](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ceil)**()| <br>Return the smallest integer value not less than the expr. |
-| **[ceiling](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ceiling)**()| |
-| **[char](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-char)**()| <br>Returns the ASCII character having the binary equivalent to expr. If n >= 256 the result is equivalent to char(n % 256). |
-| **[char_length](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-char-length)**()| <br>Returns the length of the string. It is measured in characters and multibyte character string is not supported. |
-| **[character_length](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-character-length)**()| |
-| **[concat](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-concat)**()| <br>This function returns a string resulting from the joining of two or more string values in an end-to-end manner. (To add a separating value during joining, see concat_ws.) |
-| **[concat_ws](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-concat-ws)**()| <br>Returns a string resulting from the joining of two or more string value in an end-to-end manner. It separates those concatenated string values with the delimiter specified in the first function argument. |
-| **[cos](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-cos)**()| <br>Return the cosine of expr. |
-| **[cot](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-cot)**()| <br>Return the cotangent of expr. |
-| **[count](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-count)**()| <br>Compute number of values. |
-| **[count_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-count-cate)**()| <br>Compute count of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[count_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[count_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-count-where)**()| <br>Compute number of values match specified condition. |
-| **[date](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-date)**()| <br>Cast timestamp or string expression to date (date >= 1900-01-01) |
-| **[date_format](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-date-format)**()| <br>Formats the date value according to the format string. |
-| **[datediff](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-datediff)**()| <br>days difference from date1 to date2 |
-| **[day](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-day)**()| |
-| **[dayofmonth](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-dayofmonth)**()| <br>Return the day of the month for a timestamp or date. |
-| **[dayofweek](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-dayofweek)**()| <br>Return the day of week for a timestamp or date. |
-| **[dayofyear](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-dayofyear)**()| <br>Return the day of year for a timestamp or date. Returns 0 given an invalid date. |
-| **[degrees](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-degrees)**()| <br>Convert radians to degrees. |
-| **[distinct_count](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-distinct-count)**()| <br>Compute number of distinct values. |
-| **[double](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-double)**()| <br>Cast string expression to double. |
-| **[drawdown](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-drawdown)**()| <br>Compute drawdown of values. |
-| **[earth_distance](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-earth-distance)**()| <br>Returns the great circle distance between two points on the surface of the Earth. Km as return unit. add a minus (-) sign if heading west (W) or south (S). |
-| **[entropy](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-entropy)**()| <br>Calculate Shannon entropy of a column of values. Null values are skipped. |
-| **[ew_avg](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ew-avg)**()| <br>Compute exponentially-weighted average of values. It's equivalent to pandas ewm(alpha={alpha}, adjust=True, ignore_na=True, com=None, span=None, halflife=None, min_periods=0) |
-| **[exp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-exp)**()| <br>Return the value of e (the base of natural logarithms) raised to the power of expr. |
-| **[farm_fingerprint](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-farm-fingerprint)**()| |
-| **[first_value](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-first-value)**()| <br>Returns the value of expr from the latest row (last row) of the window frame. |
-| **[float](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-float)**()| <br>Cast string expression to float. |
-| **[floor](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-floor)**()| <br>Return the largest integer value not less than the expr. |
-| **[get_json_object](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-get-json-object)**()| <br>Extracts a JSON object from [JSON Pointer](https://datatracker.ietf.org/doc/html/rfc6901)|
-| **[hash64](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-hash64)**()| <br>Returns a hash value of the arguments. It is not a cryptographic hash function and should not be used as such. |
-| **[hex](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-hex)**()| <br>Convert integer to hexadecimal. |
-| **[hour](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-hour)**()| <br>Return the hour for a timestamp. |
-| **[identity](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-identity)**()| <br>Return value. |
-| **[if_null](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-if-null)**()| <br>If input is not null, return input value; else return default value. |
-| **[ifnull](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ifnull)**()| |
-| **[ilike_match](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ilike-match)**()| <br>pattern match same as ILIKE predicate |
-| **[inc](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-inc)**()| <br>Return expression + 1. |
-| **[int](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-int)**()| |
-| **[int16](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-int16)**()| <br>Cast string expression to int16. |
-| **[int32](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-int32)**()| <br>Cast string expression to int32. |
-| **[int64](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-int64)**()| <br>Cast string expression to int64. |
-| **[is_null](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-is-null)**()| <br>Check if input value is null, return bool. |
-| **[isnull](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-isnull)**()| |
-| **[join](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-join)**()| <br>For each string value from specified column of window, join by delimeter. Null values are skipped. |
-| **[json_array_length](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-json-array-length)**()| <br>Returns the number of elements in the outermost JSON array. |
-| **[lag](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-lag)**()| <br>Returns value evaluated at the row that is offset rows before the current row within the partition. Offset is evaluated with respect to the current row. |
-| **[last_day](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-last-day)**()| <br>Return the last day of the month to which the date belongs to. |
-| **[lcase](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-lcase)**()| <br>Convert all the characters to lowercase. Note that characters with values > 127 are simply returned. |
-| **[like_match](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-like-match)**()| <br>pattern match same as LIKE predicate |
-| **[list_except_by_key](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-list-except-by-key)**()| <br>Return list of elements in list1 but keys not in except_str. |
-| **[list_except_by_value](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-list-except-by-value)**()| <br>Return list of elements in list1 but values not in except_str. |
-| **[ln](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ln)**()| <br>Return the natural logarithm of expr. |
-| **[log](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-log)**()| <br>log(base, expr) If called with one parameter, this function returns the natural logarithm of expr. If called with two parameters, this function returns the logarithm of expr to the base. |
-| **[log10](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-log10)**()| <br>Return the base-10 logarithm of expr. |
-| **[log2](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-log2)**()| <br>Return the base-2 logarithm of expr. |
-| **[lower](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-lower)**()| |
-| **[make_tuple](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-make-tuple)**()| |
-| **[max](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-max)**()| <br>Compute maximum of values. |
-| **[max_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-max-cate)**()| <br>Compute maximum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[max_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[max_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-max-where)**()| <br>Compute maximum of values match specified condition. |
-| **[maximum](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-maximum)**()| <br>Compute maximum of two arguments. |
-| **[median](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-median)**()| <br>Compute the median of values. |
-| **[min](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-min)**()| <br>Compute minimum of values. |
-| **[min_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-min-cate)**()| <br>Compute minimum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[min_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[min_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-min-where)**()| <br>Compute minimum of values match specified condition. |
-| **[minimum](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-minimum)**()| <br>Compute minimum of two arguments. |
-| **[minute](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-minute)**()| <br>Return the minute for a timestamp. |
-| **[month](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-month)**()| <br>Return the month part of a timestamp or date. |
-| **[nth_value_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-nth-value-where)**()| <br>Returns the value of expr from the idx th row matches the condition. |
-| **[nvl](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-nvl)**()| |
-| **[nvl2](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-nvl2)**()| <br>nvl2(expr1, expr2, expr3) - Returns expr2 if expr1 is not null, or expr3 otherwise. |
-| **[pmod](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-pmod)**()| <br>Compute pmod of two arguments. If any param is NULL, output NULL. If divisor is 0, output NULL. |
-| **[pow](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-pow)**()| <br>Return the value of expr1 to the power of expr2. |
-| **[power](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-power)**()| |
-| **[radians](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-radians)**()| <br>Returns the argument X, converted from degrees to radians. (Note that π radians equals 180 degrees.) |
-| **[regexp_like](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-regexp-like)**()| <br>pattern match same as RLIKE predicate (based on RE2) |
-| **[replace](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-replace)**()| <br>replace(str, search[, replace]) - Replaces all occurrences of `search` with `replace`|
-| **[reverse](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-reverse)**()| <br>Returns the reversed given string. |
-| **[round](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-round)**()| <br>Returns expr rounded to d decimal places using HALF_UP rounding mode. |
-| **[second](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-second)**()| <br>Return the second for a timestamp. |
-| **[sin](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sin)**()| <br>Return the sine of expr. |
-| **[size](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-size)**()| <br>Get the size of a List (e.g., result of split) |
-| **[smallint](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-smallint)**()| |
-| **[split](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-split)**()| <br>Split string to list by delimeter. Null values are skipped. |
-| **[split_array](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-split-array)**()| <br>Split string to array of string by delimeter. |
-| **[split_by_key](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-split-by-key)**()| <br>Split string by delimeter and split each segment as kv pair, then add each key to output list. Null or illegal segments are skipped. |
-| **[split_by_value](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-split-by-value)**()| <br>Split string by delimeter and split each segment as kv pair, then add each value to output list. Null or illegal segments are skipped. |
-| **[sqrt](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sqrt)**()| <br>Return square root of expr. |
-| **[std](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-std)**()| |
-| **[stddev](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-stddev)**()| <br>Compute sample standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) / (n-1) )`|
-| **[stddev_pop](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-stddev-pop)**()| <br>Compute population standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) / n )`|
-| **[stddev_samp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-stddev-samp)**()| |
-| **[strcmp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-strcmp)**()| <br>Returns 0 if the strings are the same, -1 if the first argument is smaller than the second according to the current sort order, and 1 otherwise. |
-| **[string](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-string)**()| <br>Return string converted from timestamp expression. |
-| **[substr](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-substr)**()| |
-| **[substring](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-substring)**()| <br>Return a substring `len` characters long from string str, starting at position `pos`. Alias function: `substr`|
-| **[sum](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sum)**()| <br>Compute sum of values. |
-| **[sum_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sum-cate)**()| <br>Compute sum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[sum_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[sum_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sum-where)**()| <br>Compute sum of values match specified condition. |
-| **[tan](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-tan)**()| <br>Return the tangent of expr. |
-| **[timestamp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-timestamp)**()| <br>Cast int64, date or string expression to timestamp. |
-| **[top](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top)**()| <br>Compute top k of values and output string separated by comma. The outputs are sorted in desc order. |
-| **[top1_ratio](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top1-ratio)**()| <br>Compute the top1 occurring value's ratio. |
-| **[top_n_key_avg_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_key_count_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_key_max_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_key_min_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_key_ratio_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-ratio-cate)**()| <br>Ratios (cond match cnt / total cnt) for groups. |
-| **[top_n_key_sum_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_avg_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_count_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_max_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_min_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_ratio_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-ratio-cate)**()| <br>Ratios (cond match cnt / total cnt) for groups. |
-| **[top_n_value_sum_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[topn_frequency](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-topn-frequency)**()| <br>Return the topN keys sorted by their frequency. |
-| **[truncate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-truncate)**()| <br>Return the nearest integer that is not greater in magnitude than the expr. |
-| **[ucase](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ucase)**()| <br>Convert all the characters to uppercase. Note that characters values > 127 are simply returned. |
-| **[unhex](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-unhex)**()| <br>Convert hexadecimal to binary string. |
-| **[unix_timestamp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-unix-timestamp)**()| <br>Cast date or string expression to unix_timestamp. If empty string or NULL is provided, return current timestamp. |
-| **[upper](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-upper)**()| |
-| **[var_pop](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-var-pop)**()| <br>Compute population variance of values, i.e., `sum((x_i - avg)^2) / n`|
-| **[var_samp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-var-samp)**()| <br>Compute population variance of values, i.e., `sum((x_i - avg)^2) / (n-1)`|
-| **[variance](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-variance)**()| |
-| **[week](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-week)**()| |
-| **[weekofyear](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-weekofyear)**()| <br>Return the week of year for a timestamp or date. |
-| **[window_split](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-window-split)**()| <br>For each string value from specified column of window, split by delimeter and add segment to output list. Null values are skipped. |
-| **[window_split_by_key](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-window-split-by-key)**()| <br>For each string value from specified column of window, split by delimeter and then split each segment as kv pair, then add each key to output list. Null and illegal segments are skipped. |
-| **[window_split_by_value](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-window-split-by-value)**()| <br>For each string value from specified column of window, split by delimeter and then split each segment as kv pair, then add each value to output list. Null and illegal segments are skipped. |
-| **[year](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-year)**()| <br>Return the year part of a timestamp or date. |
+| **[abs](/openmldb_sql/Files/udfs_8h.md#function-abs)**()| <br>Return the absolute value of expr. |
+| **[acos](/openmldb_sql/Files/udfs_8h.md#function-acos)**()| <br>Return the arc cosine of expr. |
+| **[add](/openmldb_sql/Files/udfs_8h.md#function-add)**()| <br>Compute sum of two arguments. |
+| **[add_months](/openmldb_sql/Files/udfs_8h.md#function-add-months)**()| <br>adds an integer months to a given date, returning the resulting date. |
+| **[array_contains](/openmldb_sql/Files/udfs_8h.md#function-array-contains)**()| <br>array_contains(array, value) - Returns true if the array contains the value. |
+| **[asin](/openmldb_sql/Files/udfs_8h.md#function-asin)**()| <br>Return the arc sine of expr. |
+| **[at](/openmldb_sql/Files/udfs_8h.md#function-at)**()| |
+| **[atan](/openmldb_sql/Files/udfs_8h.md#function-atan)**()| <br>Return the arc tangent of expr If called with one parameter, this function returns the arc tangent of expr. If called with two parameters X and Y, this function returns the arc tangent of Y / X. |
+| **[atan2](/openmldb_sql/Files/udfs_8h.md#function-atan2)**()| <br>Return the arc tangent of Y / X.. |
+| **[avg](/openmldb_sql/Files/udfs_8h.md#function-avg)**()| <br>Compute average of values. |
+| **[avg_cate](/openmldb_sql/Files/udfs_8h.md#function-avg-cate)**()| <br>Compute average of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[avg_cate_where](/openmldb_sql/Files/udfs_8h.md#function-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V', separated by comma, and sorted by key in ascend order. |
+| **[avg_where](/openmldb_sql/Files/udfs_8h.md#function-avg-where)**()| <br>Compute average of values match specified condition. |
+| **[bigint](/openmldb_sql/Files/udfs_8h.md#function-bigint)**()| |
+| **[bool](/openmldb_sql/Files/udfs_8h.md#function-bool)**()| <br>Cast string expression to bool. |
+| **[ceil](/openmldb_sql/Files/udfs_8h.md#function-ceil)**()| <br>Return the smallest integer value not less than the expr. |
+| **[ceiling](/openmldb_sql/Files/udfs_8h.md#function-ceiling)**()| |
+| **[char](/openmldb_sql/Files/udfs_8h.md#function-char)**()| <br>Returns the ASCII character having the binary equivalent to expr. If n >= 256 the result is equivalent to char(n % 256). |
+| **[char_length](/openmldb_sql/Files/udfs_8h.md#function-char-length)**()| <br>Returns the length of the string. It is measured in characters and multibyte character string is not supported. |
+| **[character_length](/openmldb_sql/Files/udfs_8h.md#function-character-length)**()| |
+| **[concat](/openmldb_sql/Files/udfs_8h.md#function-concat)**()| <br>This function returns a string resulting from the joining of two or more string values in an end-to-end manner. (To add a separating value during joining, see concat_ws.) |
+| **[concat_ws](/openmldb_sql/Files/udfs_8h.md#function-concat-ws)**()| <br>Returns a string resulting from the joining of two or more string value in an end-to-end manner. It separates those concatenated string values with the delimiter specified in the first function argument. |
+| **[cos](/openmldb_sql/Files/udfs_8h.md#function-cos)**()| <br>Return the cosine of expr. |
+| **[cot](/openmldb_sql/Files/udfs_8h.md#function-cot)**()| <br>Return the cotangent of expr. |
+| **[count](/openmldb_sql/Files/udfs_8h.md#function-count)**()| <br>Compute number of values. |
+| **[count_cate](/openmldb_sql/Files/udfs_8h.md#function-count-cate)**()| <br>Compute count of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[count_cate_where](/openmldb_sql/Files/udfs_8h.md#function-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[count_where](/openmldb_sql/Files/udfs_8h.md#function-count-where)**()| <br>Compute number of values match specified condition. |
+| **[date](/openmldb_sql/Files/udfs_8h.md#function-date)**()| <br>Cast timestamp or string expression to date (date >= 1900-01-01) |
+| **[date_format](/openmldb_sql/Files/udfs_8h.md#function-date-format)**()| <br>Formats the date value according to the format string. |
+| **[datediff](/openmldb_sql/Files/udfs_8h.md#function-datediff)**()| <br>days difference from date1 to date2 |
+| **[day](/openmldb_sql/Files/udfs_8h.md#function-day)**()| |
+| **[dayofmonth](/openmldb_sql/Files/udfs_8h.md#function-dayofmonth)**()| <br>Return the day of the month for a timestamp or date. |
+| **[dayofweek](/openmldb_sql/Files/udfs_8h.md#function-dayofweek)**()| <br>Return the day of week for a timestamp or date. |
+| **[dayofyear](/openmldb_sql/Files/udfs_8h.md#function-dayofyear)**()| <br>Return the day of year for a timestamp or date. Returns 0 given an invalid date. |
+| **[degrees](/openmldb_sql/Files/udfs_8h.md#function-degrees)**()| <br>Convert radians to degrees. |
+| **[distinct_count](/openmldb_sql/Files/udfs_8h.md#function-distinct-count)**()| <br>Compute number of distinct values. |
+| **[double](/openmldb_sql/Files/udfs_8h.md#function-double)**()| <br>Cast string expression to double. |
+| **[drawdown](/openmldb_sql/Files/udfs_8h.md#function-drawdown)**()| <br>Compute drawdown of values. |
+| **[earth_distance](/openmldb_sql/Files/udfs_8h.md#function-earth-distance)**()| <br>Returns the great circle distance between two points on the surface of the Earth. Km as return unit. add a minus (-) sign if heading west (W) or south (S). |
+| **[entropy](/openmldb_sql/Files/udfs_8h.md#function-entropy)**()| <br>Calculate Shannon entropy of a column of values. Null values are skipped. |
+| **[ew_avg](/openmldb_sql/Files/udfs_8h.md#function-ew-avg)**()| <br>Compute exponentially-weighted average of values. It's equivalent to pandas ewm(alpha={alpha}, adjust=True, ignore_na=True, com=None, span=None, halflife=None, min_periods=0) |
+| **[exp](/openmldb_sql/Files/udfs_8h.md#function-exp)**()| <br>Return the value of e (the base of natural logarithms) raised to the power of expr. |
+| **[farm_fingerprint](/openmldb_sql/Files/udfs_8h.md#function-farm-fingerprint)**()| |
+| **[first_value](/openmldb_sql/Files/udfs_8h.md#function-first-value)**()| <br>Returns the value of expr from the latest row (last row) of the window frame. |
+| **[float](/openmldb_sql/Files/udfs_8h.md#function-float)**()| <br>Cast string expression to float. |
+| **[floor](/openmldb_sql/Files/udfs_8h.md#function-floor)**()| <br>Return the largest integer value not less than the expr. |
+| **[get_json_object](/openmldb_sql/Files/udfs_8h.md#function-get-json-object)**()| <br>Extracts a JSON object from [JSON Pointer](https://datatracker.ietf.org/doc/html/rfc6901)|
+| **[hash64](/openmldb_sql/Files/udfs_8h.md#function-hash64)**()| <br>Returns a hash value of the arguments. It is not a cryptographic hash function and should not be used as such. |
+| **[hex](/openmldb_sql/Files/udfs_8h.md#function-hex)**()| <br>Convert integer to hexadecimal. |
+| **[hour](/openmldb_sql/Files/udfs_8h.md#function-hour)**()| <br>Return the hour for a timestamp. |
+| **[identity](/openmldb_sql/Files/udfs_8h.md#function-identity)**()| <br>Return value. |
+| **[if_null](/openmldb_sql/Files/udfs_8h.md#function-if-null)**()| <br>If input is not null, return input value; else return default value. |
+| **[ifnull](/openmldb_sql/Files/udfs_8h.md#function-ifnull)**()| |
+| **[ilike_match](/openmldb_sql/Files/udfs_8h.md#function-ilike-match)**()| <br>pattern match same as ILIKE predicate |
+| **[inc](/openmldb_sql/Files/udfs_8h.md#function-inc)**()| <br>Return expression + 1. |
+| **[int](/openmldb_sql/Files/udfs_8h.md#function-int)**()| |
+| **[int16](/openmldb_sql/Files/udfs_8h.md#function-int16)**()| <br>Cast string expression to int16. |
+| **[int32](/openmldb_sql/Files/udfs_8h.md#function-int32)**()| <br>Cast string expression to int32. |
+| **[int64](/openmldb_sql/Files/udfs_8h.md#function-int64)**()| <br>Cast string expression to int64. |
+| **[is_null](/openmldb_sql/Files/udfs_8h.md#function-is-null)**()| <br>Check if input value is null, return bool. |
+| **[isnull](/openmldb_sql/Files/udfs_8h.md#function-isnull)**()| |
+| **[join](/openmldb_sql/Files/udfs_8h.md#function-join)**()| <br>For each string value from specified column of window, join by delimeter. Null values are skipped. |
+| **[json_array_length](/openmldb_sql/Files/udfs_8h.md#function-json-array-length)**()| <br>Returns the number of elements in the outermost JSON array. |
+| **[lag](/openmldb_sql/Files/udfs_8h.md#function-lag)**()| <br>Returns value evaluated at the row that is offset rows before the current row within the partition. Offset is evaluated with respect to the current row. |
+| **[last_day](/openmldb_sql/Files/udfs_8h.md#function-last-day)**()| <br>Return the last day of the month to which the date belongs to. |
+| **[lcase](/openmldb_sql/Files/udfs_8h.md#function-lcase)**()| <br>Convert all the characters to lowercase. Note that characters with values > 127 are simply returned. |
+| **[like_match](/openmldb_sql/Files/udfs_8h.md#function-like-match)**()| <br>pattern match same as LIKE predicate |
+| **[list_except_by_key](/openmldb_sql/Files/udfs_8h.md#function-list-except-by-key)**()| <br>Return list of elements in list1 but keys not in except_str. |
+| **[list_except_by_value](/openmldb_sql/Files/udfs_8h.md#function-list-except-by-value)**()| <br>Return list of elements in list1 but values not in except_str. |
+| **[ln](/openmldb_sql/Files/udfs_8h.md#function-ln)**()| <br>Return the natural logarithm of expr. |
+| **[log](/openmldb_sql/Files/udfs_8h.md#function-log)**()| <br>log(base, expr) If called with one parameter, this function returns the natural logarithm of expr. If called with two parameters, this function returns the logarithm of expr to the base. |
+| **[log10](/openmldb_sql/Files/udfs_8h.md#function-log10)**()| <br>Return the base-10 logarithm of expr. |
+| **[log2](/openmldb_sql/Files/udfs_8h.md#function-log2)**()| <br>Return the base-2 logarithm of expr. |
+| **[lower](/openmldb_sql/Files/udfs_8h.md#function-lower)**()| |
+| **[make_tuple](/openmldb_sql/Files/udfs_8h.md#function-make-tuple)**()| |
+| **[max](/openmldb_sql/Files/udfs_8h.md#function-max)**()| <br>Compute maximum of values. |
+| **[max_cate](/openmldb_sql/Files/udfs_8h.md#function-max-cate)**()| <br>Compute maximum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[max_cate_where](/openmldb_sql/Files/udfs_8h.md#function-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[max_where](/openmldb_sql/Files/udfs_8h.md#function-max-where)**()| <br>Compute maximum of values match specified condition. |
+| **[maximum](/openmldb_sql/Files/udfs_8h.md#function-maximum)**()| <br>Compute maximum of two arguments. |
+| **[median](/openmldb_sql/Files/udfs_8h.md#function-median)**()| <br>Compute the median of values. |
+| **[min](/openmldb_sql/Files/udfs_8h.md#function-min)**()| <br>Compute minimum of values. |
+| **[min_cate](/openmldb_sql/Files/udfs_8h.md#function-min-cate)**()| <br>Compute minimum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[min_cate_where](/openmldb_sql/Files/udfs_8h.md#function-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[min_where](/openmldb_sql/Files/udfs_8h.md#function-min-where)**()| <br>Compute minimum of values match specified condition. |
+| **[minimum](/openmldb_sql/Files/udfs_8h.md#function-minimum)**()| <br>Compute minimum of two arguments. |
+| **[minute](/openmldb_sql/Files/udfs_8h.md#function-minute)**()| <br>Return the minute for a timestamp. |
+| **[month](/openmldb_sql/Files/udfs_8h.md#function-month)**()| <br>Return the month part of a timestamp or date. |
+| **[nth_value_where](/openmldb_sql/Files/udfs_8h.md#function-nth-value-where)**()| <br>Returns the value of expr from the idx th row matches the condition. |
+| **[nvl](/openmldb_sql/Files/udfs_8h.md#function-nvl)**()| |
+| **[nvl2](/openmldb_sql/Files/udfs_8h.md#function-nvl2)**()| <br>nvl2(expr1, expr2, expr3) - Returns expr2 if expr1 is not null, or expr3 otherwise. |
+| **[pmod](/openmldb_sql/Files/udfs_8h.md#function-pmod)**()| <br>Compute pmod of two arguments. If any param is NULL, output NULL. If divisor is 0, output NULL. |
+| **[pow](/openmldb_sql/Files/udfs_8h.md#function-pow)**()| <br>Return the value of expr1 to the power of expr2. |
+| **[power](/openmldb_sql/Files/udfs_8h.md#function-power)**()| |
+| **[radians](/openmldb_sql/Files/udfs_8h.md#function-radians)**()| <br>Returns the argument X, converted from degrees to radians. (Note that π radians equals 180 degrees.) |
+| **[regexp_like](/openmldb_sql/Files/udfs_8h.md#function-regexp-like)**()| <br>pattern match same as RLIKE predicate (based on RE2) |
+| **[replace](/openmldb_sql/Files/udfs_8h.md#function-replace)**()| <br>replace(str, search[, replace]) - Replaces all occurrences of `search` with `replace`|
+| **[reverse](/openmldb_sql/Files/udfs_8h.md#function-reverse)**()| <br>Returns the reversed given string. |
+| **[round](/openmldb_sql/Files/udfs_8h.md#function-round)**()| <br>Returns expr rounded to d decimal places using HALF_UP rounding mode. |
+| **[second](/openmldb_sql/Files/udfs_8h.md#function-second)**()| <br>Return the second for a timestamp. |
+| **[sin](/openmldb_sql/Files/udfs_8h.md#function-sin)**()| <br>Return the sine of expr. |
+| **[size](/openmldb_sql/Files/udfs_8h.md#function-size)**()| <br>Get the size of a List (e.g., result of split) |
+| **[smallint](/openmldb_sql/Files/udfs_8h.md#function-smallint)**()| |
+| **[split](/openmldb_sql/Files/udfs_8h.md#function-split)**()| <br>Split string to list by delimeter. Null values are skipped. |
+| **[split_array](/openmldb_sql/Files/udfs_8h.md#function-split-array)**()| <br>Split string to array of string by delimeter. |
+| **[split_by_key](/openmldb_sql/Files/udfs_8h.md#function-split-by-key)**()| <br>Split string by delimeter and split each segment as kv pair, then add each key to output list. Null or illegal segments are skipped. |
+| **[split_by_value](/openmldb_sql/Files/udfs_8h.md#function-split-by-value)**()| <br>Split string by delimeter and split each segment as kv pair, then add each value to output list. Null or illegal segments are skipped. |
+| **[sqrt](/openmldb_sql/Files/udfs_8h.md#function-sqrt)**()| <br>Return square root of expr. |
+| **[std](/openmldb_sql/Files/udfs_8h.md#function-std)**()| |
+| **[stddev](/openmldb_sql/Files/udfs_8h.md#function-stddev)**()| <br>Compute sample standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) / (n-1) )`|
+| **[stddev_pop](/openmldb_sql/Files/udfs_8h.md#function-stddev-pop)**()| <br>Compute population standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) / n )`|
+| **[stddev_samp](/openmldb_sql/Files/udfs_8h.md#function-stddev-samp)**()| |
+| **[strcmp](/openmldb_sql/Files/udfs_8h.md#function-strcmp)**()| <br>Returns 0 if the strings are the same, -1 if the first argument is smaller than the second according to the current sort order, and 1 otherwise. |
+| **[string](/openmldb_sql/Files/udfs_8h.md#function-string)**()| <br>Return string converted from timestamp expression. |
+| **[substr](/openmldb_sql/Files/udfs_8h.md#function-substr)**()| |
+| **[substring](/openmldb_sql/Files/udfs_8h.md#function-substring)**()| <br>Return a substring `len` characters long from string str, starting at position `pos`. Alias function: `substr`|
+| **[sum](/openmldb_sql/Files/udfs_8h.md#function-sum)**()| <br>Compute sum of values. |
+| **[sum_cate](/openmldb_sql/Files/udfs_8h.md#function-sum-cate)**()| <br>Compute sum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[sum_cate_where](/openmldb_sql/Files/udfs_8h.md#function-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[sum_where](/openmldb_sql/Files/udfs_8h.md#function-sum-where)**()| <br>Compute sum of values match specified condition. |
+| **[tan](/openmldb_sql/Files/udfs_8h.md#function-tan)**()| <br>Return the tangent of expr. |
+| **[timestamp](/openmldb_sql/Files/udfs_8h.md#function-timestamp)**()| <br>Cast int64, date or string expression to timestamp. |
+| **[top](/openmldb_sql/Files/udfs_8h.md#function-top)**()| <br>Compute top k of values and output string separated by comma. The outputs are sorted in desc order. |
+| **[top1_ratio](/openmldb_sql/Files/udfs_8h.md#function-top1-ratio)**()| <br>Compute the top1 occurring value's ratio. |
+| **[top_n_key_avg_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_key_count_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_key_max_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_key_min_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_key_ratio_cate](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-ratio-cate)**()| <br>Ratios (cond match cnt / total cnt) for groups. |
+| **[top_n_key_sum_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_avg_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_count_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_max_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_min_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_ratio_cate](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-ratio-cate)**()| <br>Ratios (cond match cnt / total cnt) for groups. |
+| **[top_n_value_sum_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[topn_frequency](/openmldb_sql/Files/udfs_8h.md#function-topn-frequency)**()| <br>Return the topN keys sorted by their frequency. |
+| **[truncate](/openmldb_sql/Files/udfs_8h.md#function-truncate)**()| <br>Return the nearest integer that is not greater in magnitude than the expr. |
+| **[ucase](/openmldb_sql/Files/udfs_8h.md#function-ucase)**()| <br>Convert all the characters to uppercase. Note that characters values > 127 are simply returned. |
+| **[unhex](/openmldb_sql/Files/udfs_8h.md#function-unhex)**()| <br>Convert hexadecimal to binary string. |
+| **[unix_timestamp](/openmldb_sql/Files/udfs_8h.md#function-unix-timestamp)**()| <br>Cast date or string expression to unix_timestamp. If empty string or NULL is provided, return current timestamp. |
+| **[upper](/openmldb_sql/Files/udfs_8h.md#function-upper)**()| |
+| **[var_pop](/openmldb_sql/Files/udfs_8h.md#function-var-pop)**()| <br>Compute population variance of values, i.e., `sum((x_i - avg)^2) / n`|
+| **[var_samp](/openmldb_sql/Files/udfs_8h.md#function-var-samp)**()| <br>Compute population variance of values, i.e., `sum((x_i - avg)^2) / (n-1)`|
+| **[variance](/openmldb_sql/Files/udfs_8h.md#function-variance)**()| |
+| **[week](/openmldb_sql/Files/udfs_8h.md#function-week)**()| |
+| **[weekofyear](/openmldb_sql/Files/udfs_8h.md#function-weekofyear)**()| <br>Return the week of year for a timestamp or date. |
+| **[window_split](/openmldb_sql/Files/udfs_8h.md#function-window-split)**()| <br>For each string value from specified column of window, split by delimeter and add segment to output list. Null values are skipped. |
+| **[window_split_by_key](/openmldb_sql/Files/udfs_8h.md#function-window-split-by-key)**()| <br>For each string value from specified column of window, split by delimeter and then split each segment as kv pair, then add each key to output list. Null and illegal segments are skipped. |
+| **[window_split_by_value](/openmldb_sql/Files/udfs_8h.md#function-window-split-by-value)**()| <br>For each string value from specified column of window, split by delimeter and then split each segment as kv pair, then add each value to output list. Null and illegal segments are skipped. |
+| **[year](/openmldb_sql/Files/udfs_8h.md#function-year)**()| <br>Return the year part of a timestamp or date. |
 
 
 ## Functions Documentation
@@ -501,13 +501,13 @@ Compute average of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -541,13 +541,13 @@ Compute average of values grouped by category key and output string. Each group
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -586,13 +586,13 @@ Compute average of values matching specified condition grouped by category key a
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
 
 
 ```sql
@@ -634,13 +634,13 @@ Compute average of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -884,7 +884,7 @@ SELECT COS(0);
 
 
 
-* The value returned by [cos()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-cos) is always in the range: -1 to 1.
+* The value returned by [cos()](/openmldb_sql/Files/udfs_8h.md#function-cos) is always in the range: -1 to 1.
 
 
 **Supported Types**:
@@ -946,13 +946,13 @@ Compute number of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -987,13 +987,13 @@ Compute count of values grouped by category key and output string. Each group is
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -1032,13 +1032,13 @@ Compute count of values matching specified condition grouped by category key and
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
 
 
 ```sql
@@ -1080,13 +1080,13 @@ Compute number of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -1230,7 +1230,7 @@ Return the day of the month for a timestamp or date.
 0.1.0
 
 
-Note: This function equals the `[day()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-day)` function.
+Note: This function equals the `[day()](/openmldb_sql/Files/udfs_8h.md#function-day)` function.
 
 Example:
 
@@ -1264,7 +1264,7 @@ Return the day of week for a timestamp or date.
 0.4.0
 
 
-Note: This function equals the `[week()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-week)` function.
+Note: This function equals the `[week()](/openmldb_sql/Files/udfs_8h.md#function-week)` function.
 
 Example:
 
@@ -1374,13 +1374,13 @@ Compute number of distinct values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 0     |
-| 2     |
-| 2     |
-| 4    |
+| 0   |
+| 0   |
+| 2   |
+| 2   |
+| 4   |
 
 
 ```sql
@@ -1450,14 +1450,14 @@ It requires that all values are non-negative. Negative values will be ignored.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 8     |
-| 5     |
-| 2     |
-| 10     |
-| 4    |
+| 1   |
+| 8   |
+| 5   |
+| 2   |
+| 10   |
+| 4   |
 
 
 ```sql
@@ -1568,13 +1568,13 @@ It requires that values are ordered so that it can only be used with WINDOW (PAR
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -1652,11 +1652,11 @@ window w as (partition by gp order by ts rows between 3 preceding and current ro
 ```
 
 
-| id    | gp    | ts    | agg     |
+| id  | gp  | ts  | agg   |
 |  -------- | -------- | -------- | -------- |
-| 1    | 100    | 98    | 98     |
-| 2    | 100    | 99    | 99     |
-| 3    | 100    | 100    | 100    |
+| 1  | 100  | 98  | 98   |
+| 2  | 100  | 99  | 99   |
+| 3  | 100  | 100  | 100   |
 
 
 
@@ -2251,21 +2251,21 @@ Returns value evaluated at the row that is offset rows before the current row wi
   * **offset** The number of rows forwarded from the current row, must not negative
 
 
-Note: This function equals the `[at()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-at)` function.
+Note: This function equals the `[at()](/openmldb_sql/Files/udfs_8h.md#function-at)` function.
 
-The offset in window is `nth_value()`, not `[lag()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-lag)/at()`. The old `[at()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-at)`(version < 0.5.0) is start from the last row of window(may not be the current row), it's more like `nth_value()`
+The offset in window is `nth_value()`, not `[lag()](/openmldb_sql/Files/udfs_8h.md#function-lag)/at()`. The old `[at()](/openmldb_sql/Files/udfs_8h.md#function-at)`(version < 0.5.0) is start from the last row of window(may not be the current row), it's more like `nth_value()`
 
 
 Example:
 
 
-| c1    | c2     |
+| c1  | c2   |
 |  -------- | -------- |
-| 0    | 1     |
-| 1    | 1     |
-| 2    | 2     |
-| 3    | 2     |
-| 4    | 2    |
+| 0  | 1   |
+| 1  | 1   |
+| 2  | 2   |
+| 3  | 2   |
+| 4  | 2   |
 
 
 ```sql
@@ -2653,13 +2653,13 @@ Compute maximum of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -2696,13 +2696,13 @@ Compute maximum of values grouped by category key and output string. Each group
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -2741,13 +2741,13 @@ Compute maximum of values matching specified condition grouped by category key a
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
 
 
 ```sql
@@ -2789,13 +2789,13 @@ Compute maximum of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -2861,12 +2861,12 @@ Compute the median of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -2903,13 +2903,13 @@ Compute minimum of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -2946,13 +2946,13 @@ Compute minimum of values grouped by category key and output string. Each group
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -2991,14 +2991,14 @@ Compute minimum of values matching specified condition grouped by category key a
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 1    | true    | y     |
-| 4    | true    | x     |
-| 3    | true    | y    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 1  | true  | y   |
+| 4  | true  | x   |
+| 3  | true  | y   |
 
 
 ```sql
@@ -3040,13 +3040,13 @@ Compute minimum of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -3176,12 +3176,12 @@ select col1, cond, gp, nth_value_where(col1, 2, cond) over (partition by gp orde
 ```
 
 
-| col1    | cond    | gp    | agg     |
+| col1  | cond  | gp  | agg   |
 |  -------- | -------- | -------- | -------- |
-| 1    | true    | 100    | NULL     |
-| 2    | false    | 100    | NULL     |
-| 3    | NULL    | 100    | NULL     |
-| 4    | true    | 100    | 4    |
+| 1  | true  | 100  | NULL   |
+| 2  | false  | 100  | NULL   |
+| 3  | NULL  | 100  | NULL   |
+| 4  | true  | 100  | 4   |
 
 
 
@@ -3568,7 +3568,7 @@ SELECT SIN(0);
 
 
 
-* The value returned by [sin()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sin) is always in the range: -1 to 1.
+* The value returned by [sin()](/openmldb_sql/Files/udfs_8h.md#function-sin) is always in the range: -1 to 1.
 
 
 **Supported Types**:
@@ -3810,12 +3810,12 @@ Alias function: `std`, `stddev_samp`
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -3852,12 +3852,12 @@ Compute population standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2)
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -4013,13 +4013,13 @@ Compute sum of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -4053,13 +4053,13 @@ Compute sum of values grouped by category key and output string. Each group is r
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -4098,13 +4098,13 @@ Compute sum of values matching specified condition grouped by category key and o
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
 
 
 ```sql
@@ -4146,13 +4146,13 @@ Compute sum of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -4262,13 +4262,13 @@ Compute top k of values and output string separated by comma. The outputs are so
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 2     |
-| 3     |
-| 4     |
-| 4    |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
+| 4   |
 
 
 ```sql
@@ -4319,11 +4319,11 @@ SELECT key, top1_ratio(key) over () as ratio FROM t1;
 ```
 
 
-| key    | ratio     |
+| key  | ratio   |
 |  -------- | -------- |
-| 1    | 1.0     |
-| 2    | 0.5     |
-| NULL    | 0.5    |
+| 1  | 1.0   |
+| 2  | 0.5   |
+| NULL  | 0.5   |
 
 
 
@@ -4360,15 +4360,15 @@ Compute average of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | false    | z    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | false  | z   |
 
 
 ```sql
@@ -4420,15 +4420,15 @@ Compute count of values matching specified condition grouped by category key. Ou
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | false    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | false  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4480,15 +4480,15 @@ Compute maximum of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | false    | z    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | false  | z   |
 
 
 ```sql
@@ -4540,15 +4540,15 @@ Compute minimum of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | false    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | false  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4602,15 +4602,15 @@ For each group, ratio value is `value` expr count matches condtion divide total
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 2    | true    | x     |
-| 4    | true    | x     |
-| 1    | true    | y     |
-| 3    | false    | y     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 2  | true  | x   |
+| 4  | true  | x   |
+| 1  | true  | y   |
+| 3  | false  | y   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4661,15 +4661,15 @@ Compute sum of values matching specified condition grouped by category key. Outp
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | false    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | false  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4721,15 +4721,15 @@ Compute average of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | false    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | false    | z    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | false  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | false  | z   |
 
 
 ```sql
@@ -4781,15 +4781,15 @@ Compute count of values matching specified condition grouped by category key. Ou
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | true    | x     |
-| 3    | false    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | true  | x   |
+| 3  | false  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4841,15 +4841,15 @@ Compute maximum of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | false    | z    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | false  | z   |
 
 
 ```sql
@@ -4901,15 +4901,15 @@ Compute minimum of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | true    | x     |
-| 3    | true    | y     |
-| 4    | false    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | true  | x   |
+| 3  | true  | y   |
+| 4  | false  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4963,15 +4963,15 @@ For each group, ratio value is `value` expr count matches condtion divide total
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 2    | true    | x     |
-| 4    | true    | x     |
-| 1    | true    | y     |
-| 3    | false    | y     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 2  | true  | x   |
+| 4  | true  | x   |
+| 1  | true  | y   |
+| 3  | false  | y   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -5022,15 +5022,15 @@ Compute sum of values matching specified condition grouped by category key. Outp
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | false    | x     |
-| 3    | false    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | false  | x   |
+| 3  | false  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -5245,11 +5245,11 @@ Compute population variance of values, i.e., `sum((x_i - avg)^2) / n`
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 3     |
-| 6    |
+| 0   |
+| 3   |
+| 6   |
 
 
 ```sql
@@ -5286,11 +5286,11 @@ Compute population variance of values, i.e., `sum((x_i - avg)^2) / (n-1)`
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 3     |
-| 6    |
+| 0   |
+| 3   |
+| 6   |
 
 
 ```sql
diff --git a/docs/zh/deploy/index.rst b/docs/zh/deploy/index.rst
index 29007be2d86..91a3116489e 100644
--- a/docs/zh/deploy/index.rst
+++ b/docs/zh/deploy/index.rst
@@ -8,6 +8,5 @@
     install_deploy
     conf
     compile
-    integrate_hadoop
     offline_integrate_kubernetes
     [Alpha]在线引擎基于 Kubernetes 部署 <https://github.com/4paradigm/openmldb-k8s>
diff --git a/docs/zh/developer/built_in_function_develop_guide.md b/docs/zh/developer/built_in_function_develop_guide.md
index 12231384078..cbc186005cf 100644
--- a/docs/zh/developer/built_in_function_develop_guide.md
+++ b/docs/zh/developer/built_in_function_develop_guide.md
@@ -1034,10 +1034,9 @@ RegisterUdafTemplate<DistinctCountDef>("distinct_count")
 
 ## 6. 文档管理
 
-内置函数文档可在 [Built-in Functions](https://openmldb.ai/docs/zh/main/openmldb_sql/functions_and_operators/Files/udfs_8h.html) 查看，它是一个代码生成的 markdown 文件，注意请不要进行直接编辑。
+内置函数文档可在 [Built-in Functions](../openmldb_sql/udfs_8h.md) 查看，它是一个代码生成的 markdown 文件，注意请不要进行直接编辑。
 
-- 如果需要对新增加的函数添加文档，请参照 2.2.4 配置函数文档 章节，说明了内置函数的文档是在 CPP 源代码中管理的。后续会通过一系列步骤生成如上网页中更加可读的文档， 即`docs/*/openmldb_sql/functions_and_operators/`目录下的内容。
+- 如果需要对新增加的函数添加文档，请参照 2.2.4 配置函数文档 章节，说明了内置函数的文档是在 CPP 源代码中管理的。后续会通过一系列步骤生成如上网页中更加可读的文档， 即`docs/*/openmldb_sql/`目录下的内容。
 - 如果需要修改一个已存在函数的文档，可以在文件 `hybridse/src/udf/default_udf_library.cc` 或者 `hybridse/src/udf/default_defs/*_def.cc` 下查找到对应函数的文档说明，进行修改。
 
 OpenMLDB 项目中创建了一个定期天级别的 GitHub Workflow 任务来定期更新这里的相关文档。因此内置函数文档相关的改动只需按照上面的步骤修改对应源代码位置的内容即可，`docs` 目录和网站的内容会随之定期更新。具体的文档生成流程可以查看源代码路径下的 [udf_doxygen](https://github.com/4paradigm/OpenMLDB/tree/main/hybridse/tools/documentation/udf_doxygen)。
-
diff --git a/docs/zh/faq/client_faq.md b/docs/zh/faq/client_faq.md
new file mode 100644
index 00000000000..894cca02e57
--- /dev/null
+++ b/docs/zh/faq/client_faq.md
@@ -0,0 +1,88 @@
+# Client FAQ
+
+## fail to get tablet ... 的错误日志
+
+优先检查集群中tablet server是否意外下线，或者在线表是否不可读写。推荐通过[openmldb_tool](../maintain/diagnose.md)诊断，使用`status`（status --diff）和`inspect online`两个检查命令。
+TODO diag tool 测到offline或online表不正常，会输出警告和下一步应该怎么操作？
+如果只能手动检查，需要两步：
+- `show components`，检查server是否存在在列表中（TaskManager如果下线，将不在表中。Tablet如果下线，将在表中，但状态为offline）,以及在列表中的server的状态是否为online。如果存在offline的server，**先将server重启加入集群**。
+- `show table status like '%'`（低版本如果不支持like，需要分别查询系统db和用户db），检查每个表的"Warnings"是否报错。
+
+一般会得到`real replica number X does not match the configured replicanum X`等错误，具体错误信息请参考[SHOW TABLE STATUS](../openmldb_sql/ddl/SHOW_TABLE_STATUS.md)。这些错误都说明表目前是有问题的，无法提供正常读写功能，通常是由于Tablet
+
+## 为什么收到 Reached timeout 的警告日志？
+```
+rpc_client.h:xxx] request error. [E1008] Reached timeout=xxxms
+```
+这是由于client端本身发送的rpc request的timeout设置小了，client端自己主动断开，注意这是rpc的超时。需要更改通用的`request_timeout`配置。
+1. CLI: 启动时配置`--request_timeout_ms`
+2. JAVA/Python SDK: Option或url中调整`SdkOption.requestTimeout`
+```{note}
+同步的离线命令通常不会出现这个错误，因为同步离线命令的timeout设置为了TaskManager可接受的最长时间。
+```
+
+## 为什么收到 Got EOF of Socket 的警告日志？
+```
+rpc_client.h:xxx] request error. [E1014]Got EOF of Socket{id=x fd=x addr=xxx} (xx)
+```
+这是因为`addr`端主动断开了连接，`addr`的地址大概率是TaskManager。这不代表TaskManager不正常，而是TaskManager端认为这个连接没有活动，超过keepAliveTime了，而主动断开通信channel。
+在0.5.0及以后的版本中，可以调大TaskManager的`server.channel_keep_alive_time`来提高对不活跃channel的容忍度。默认值为1800s(0.5h)，特别是使用同步的离线命令时，这个值可能需要适当调大。
+在0.5.0以前的版本中，无法更改此配置，请升级TaskManager版本。
+
+## 离线查询结果显示中文为什么乱码？
+
+在使用离线查询时，可能出现包含中文的查询结果乱码，主要和系统默认编码格式与Spark任务编码格式参数有关。
+
+如果出现乱码情况，可以通过添加Spark高级参数`spark.driver.extraJavaOptions=-Dfile.encoding=utf-8`和`spark.executor.extraJavaOptions=-Dfile.encoding=utf-8`来解决。
+
+客户端配置方法可参考[客户端Spark配置文件](../reference/client_config/client_spark_config.md)，也可以在TaskManager配置文件中添加此项配置。
+
+```
+spark.default.conf=spark.driver.extraJavaOptions=-Dfile.encoding=utf-8;spark.executor.extraJavaOptions=-Dfile.encoding=utf-8
+```
+
+## 如何配置TaskManager来访问开启Kerberos的Yarn集群？
+
+如果Yarn集群开启Kerberos认证，TaskManager可以通过添加以下配置来访问开启Kerberos认证的Yarn集群。注意请根据实际配置修改keytab路径以及principal账号。
+
+```
+spark.default.conf=spark.yarn.keytab=/tmp/test.keytab;spark.yarn.principal=test@EXAMPLE.COM
+```
+
+## 如何配置客户端的core日志？
+
+客户端core日志主要有两种，zk日志和sdk日志（glog日志），两者是独立的。
+
+zk日志：
+1. CLI：启动时配置`--zk_log_level`调整level,`--zk_log_file`配置日志保存文件。
+2. JAVA/Python SDK：Option或url中使用`zkLogLevel`调整level，`zkLogFile`配置日志保存文件。
+
+- `zk_log_level`(int, 默认=0, 即DISABLE_LOGGING): 
+打印这个等级及**以下**等级的日志。0-禁止所有zk log, 1-error, 2-warn, 3-info, 4-debug。
+
+sdk日志（glog日志）：
+1. CLI：启动时配置`--glog_level`调整level,`--glog_dir`配置日志保存文件。
+2. JAVA/Python SDK：Option或url中使用`glogLevel`调整level，`glogDir`配置日志保存文件。
+
+- `glog_level`(int, 默认=1, 即WARNING):
+打印这个等级及**以上**等级的日志。 INFO, WARNING, ERROR, and FATAL日志分别对应 0, 1, 2, and 3。
+
+
+## 插入错误，日志显示`please use getInsertRow with ... first`
+
+在JAVA client使用InsertPreparedStatement进行插入，或在Python中使用sql和parameter进行插入时，client底层实际有cache影响，第一步`getInsertRow`生成sql cache并返回sql还需要补充的parameter信息，第二步才会真正执行insert，而执行insert需要使用第一步缓存的sql cache。所以，当多线程使用同一个client时，可能因为插入和查询频繁更新cache表，将你想要执行的insert sql cache淘汰掉了，所以会出现好像第一步`getInsertRow`并未执行的样子。
+
+目前可以通过调大`maxSqlCacheSize`这一配置项来避免错误。仅JAVA/Python SDK支持配置。
+
+## 离线命令Spark报错
+
+`java.lang.OutOfMemoryError: Java heap space`
+
+离线命令的Spark配置默认为`local[*]`，并发较高可能出现OutOfMemoryError错误，请调整`spark.driver.memory`和`spark.executor.memory`两个spark配置项。可以写在TaskManager运行目录的`conf/taskmanager.properties`的`spark.default.conf`并重启TaskManager，或者使用CLI客户端进行配置，参考[客户端Spark配置文件](../reference/client_config/client_spark_config.md)。
+```
+spark.default.conf=spark.driver.memory=16g;spark.executor.memory=16g
+```
+
+Container killed by YARN for exceeding memory limits. 5 GB of 5 GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead.
+
+local时drivermemory
diff --git a/docs/zh/faq/index.rst b/docs/zh/faq/index.rst
new file mode 100644
index 00000000000..a5d1e94a540
--- /dev/null
+++ b/docs/zh/faq/index.rst
@@ -0,0 +1,10 @@
+=============================
+FAQ
+=============================
+
+
+.. toctree::
+    :maxdepth: 1
+
+    client_faq
+    server_faq
diff --git a/docs/zh/faq/server_faq.md b/docs/zh/faq/server_faq.md
new file mode 100644
index 00000000000..1b89fd383d6
--- /dev/null
+++ b/docs/zh/faq/server_faq.md
@@ -0,0 +1,61 @@
+# Server FAQ
+
+Server中有任何上下线变化或问题，都先openmldb_tool status + inspect online检查下集群是否正常。
+
+## 部署和启动 FAQ
+
+### 1. 如何确认集群已经正常运行？
+虽然有一键启动脚本，但由于配置繁多，可能出现“端口已被占用”，“目录无读写权限”等问题。这些问题都是server进程运行之后才能发现，退出后没有及时反馈。（如果配置了监控，可以通过监控直接检查。）
+所以，请先确认集群的所有server进程都正常运行。
+
+可以通过`ps axu | grep openmldb`或sql命令`show components;`来查询。（注意，如果你使用了守护进程，openmldb server进程可能是在启动停止的循环中，并不代表持续运行，可以通过日志或`show components;`连接时间来确认。）
+
+如果进程都活着，集群还是表现不正常，需要查询一下server日志。可以优先看WARN和ERROR级日志，很大概率上，它们就是根本原因。
+
+### 2. 如果数据没有自动恢复成功怎么办？
+
+通常情况，当我们重启服务，表中数据会自动进行恢复，但有些情况可能会造成恢复失败，通常失败的情况包括：
+
+- tablet异常退出
+- 多副本表多个副本所在的tablets同时重启或者重启太快，造成某些`auto_failover`操作还没完成tablet就重启
+- auto_failover设成`false`
+
+当服务启动成功后，可以通过`gettablestatus`获得所有表的状态：
+```
+python tools/openmldb_ops.py --openmldb_bin_path=./bin/openmldb --zk_cluster=172.24.4.40:30481 --zk_root_path=/openmldb --cmd=gettablestatus
+```
+
+如果表中有`Warnings`，可以通过`recoverdata`来自动恢复数据：
+```
+python tools/openmldb_ops.py --openmldb_bin_path=./bin/openmldb --zk_cluster=172.24.4.40:30481 --zk_root_path=/openmldb --cmd=recoverdata
+```
+
+## Server FAQ
+
+### 1. 为什么日志中有 Fail to write into Socket 的警告日志？
+```
+http_rpc_protocol.cpp:911] Fail to write into Socket{id=xx fd=xx addr=xxx} (0x7a7ca00): Unknown error 1014 [1014]
+```
+这是server端会打印的日志。一般是client端使用了连接池或短连接模式，在RPC超时后会关闭连接，server写回response时发现连接已经关了就报这个错。Got EOF就是指之前已经收到了EOF（对端正常关闭了连接）。client端使用单连接模式server端一般不会报这个。
+
+### 2. 表数据的ttl初始设置不合适，如何调整？
+这需要使用nsclient来修改，普通client无法做到。nsclient启动方式与命令，见[ns client](../maintain/cli.md#ns-client)。
+
+在nsclient中使用命令`setttl`可以更改一个表的ttl，类似
+```
+setttl table_name ttl_type ttl [ttl] [index_name]
+```
+可以看到，如果在命令末尾配置index的名字，可以做到只修改单个index的ttl。
+```{caution}
+`setttl`的改变不会及时生效，会受到tablet server的配置`gc_interval`的影响。（每台tablet server的配置是独立的，互不影响。）
+
+举例说明，有一个tablet server的`gc_interval`是1h，那么ttl的配置重载，会在下一次gc的最后时刻进行（最坏情况下，会在1h后重载）。重载ttl的这一次gc就不会按最新ttl来淘汰数据。再下一次gc时才会使用最新ttl进行数据淘汰。
+
+所以，**ttl更改后，需要等待两次gc interval的时间才会生效**。请耐心等待。
+
+当然，你可以调整tablet server的`gc_interval`，但这个配置无法动态更改，只能重启生效。所以，如果内存压力较大，可以尝试扩容，迁移数据分片，来减少内存压力。不推荐轻易调整`gc_interval`。
+```
+
+### 3. 出现警告日志：Last Join right table is empty，这是什么意思？
+通常来讲，这是一个正常现象，不代表集群异常。只是runner中join右表为空，是可能的现象，大概率是数据问题。
+
diff --git a/docs/zh/index.rst b/docs/zh/index.rst
index 1a3fd0deb56..f3b3f63106b 100644
--- a/docs/zh/index.rst
+++ b/docs/zh/index.rst
@@ -16,3 +16,4 @@ OpenMLDB 文档 (|version|)
     maintain/index
     reference/index
     developer/index
+    faq/index
diff --git a/docs/zh/maintain/faq.md b/docs/zh/maintain/faq.md
deleted file mode 100644
index 454bfb500ad..00000000000
--- a/docs/zh/maintain/faq.md
+++ /dev/null
@@ -1,130 +0,0 @@
-# 运维 FAQ
-
-## 部署和启动 FAQ
-
-### 1. 如何确认集群已经正常运行？
-虽然有一键启动脚本，但由于配置繁多，可能出现“端口已被占用”，“目录无读写权限”等问题。这些问题都是server进程运行之后才能发现，退出后没有及时反馈。（如果配置了监控，可以通过监控直接检查。）
-所以，请先确认集群的所有server进程都正常运行。
-
-可以通过`ps axu | grep openmldb`或sql命令`show components;`来查询。（注意，如果你使用了守护进程，openmldb server进程可能是在启动停止的循环中，并不代表持续运行，可以通过日志或`show components;`连接时间来确认。）
-
-如果进程都活着，集群还是表现不正常，需要查询一下server日志。可以优先看WARN和ERROR级日志，很大概率上，它们就是根本原因。
-
-### 2. 如果数据没有自动恢复成功怎么办？
-
-通常情况，当我们重启服务，表中数据会自动进行恢复，但有些情况可能会造成恢复失败，通常失败的情况包括：
-
-- tablet异常退出
-- 多副本表多个副本所在的tablets同时重启或者重启太快，造成某些`auto_failover`操作还没完成tablet就重启
-- auto_failover设成`false`
-
-当服务启动成功后，可以通过`gettablestatus`获得所有表的状态：
-```
-python tools/openmldb_ops.py --openmldb_bin_path=./bin/openmldb --zk_cluster=172.24.4.40:30481 --zk_root_path=/openmldb --cmd=gettablestatus
-```
-
-如果表中有`Warnings`，可以通过`recoverdata`来自动恢复数据：
-```
-python tools/openmldb_ops.py --openmldb_bin_path=./bin/openmldb --zk_cluster=172.24.4.40:30481 --zk_root_path=/openmldb --cmd=recoverdata
-```
-
-## Server FAQ
-
-### 1. 为什么日志中有 Fail to write into Socket 的警告日志？
-```
-http_rpc_protocol.cpp:911] Fail to write into Socket{id=xx fd=xx addr=xxx} (0x7a7ca00): Unknown error 1014 [1014]
-```
-这是server端会打印的日志。一般是client端使用了连接池或短连接模式，在RPC超时后会关闭连接，server写回response时发现连接已经关了就报这个错。Got EOF就是指之前已经收到了EOF（对端正常关闭了连接）。client端使用单连接模式server端一般不会报这个。
-
-### 2. 表数据的ttl初始设置不合适，如何调整？
-这需要使用nsclient来修改，普通client无法做到。nsclient启动方式与命令，见[ns client](../maintain/cli.md#ns-client)。
-
-在nsclient中使用命令`setttl`可以更改一个表的ttl，类似
-```
-setttl table_name ttl_type ttl [ttl] [index_name]
-```
-可以看到，如果在命令末尾配置index的名字，可以做到只修改单个index的ttl。
-```{caution}
-`setttl`的改变不会及时生效，会受到tablet server的配置`gc_interval`的影响。（每台tablet server的配置是独立的，互不影响。）
-
-举例说明，有一个tablet server的`gc_interval`是1h，那么ttl的配置重载，会在下一次gc的最后时刻进行（最坏情况下，会在1h后重载）。重载ttl的这一次gc就不会按最新ttl来淘汰数据。再下一次gc时才会使用最新ttl进行数据淘汰。
-
-所以，**ttl更改后，需要等待两次gc interval的时间才会生效**。请耐心等待。
-
-当然，你可以调整tablet server的`gc_interval`，但这个配置无法动态更改，只能重启生效。所以，如果内存压力较大，可以尝试扩容，迁移数据分片，来减少内存压力。不推荐轻易调整`gc_interval`。
-```
-
-### 3. 出现警告日志：Last Join right table is empty，这是什么意思？
-通常来讲，这是一个正常现象，不代表集群异常。只是runner中join右表为空，是可能的现象，大概率是数据问题。
-
-## Client FAQ
-
-### 1. 为什么收到 Reached timeout 的警告日志？
-```
-rpc_client.h:xxx] request error. [E1008] Reached timeout=xxxms
-```
-这是由于client端本身发送的rpc request的timeout设置小了，client端自己主动断开，注意这是rpc的超时。需要更改通用的`request_timeout`配置。
-1. CLI: 启动时配置`--request_timeout_ms`
-2. JAVA/Python SDK: Option或url中调整`SdkOption.requestTimeout`
-```{note}
-同步的离线命令通常不会出现这个错误，因为同步离线命令的timeout设置为了TaskManager可接受的最长时间。
-```
-### 2. 为什么收到 Got EOF of Socket 的警告日志？
-```
-rpc_client.h:xxx] request error. [E1014]Got EOF of Socket{id=x fd=x addr=xxx} (xx)
-```
-这是因为`addr`端主动断开了连接，`addr`的地址大概率是TaskManager。这不代表TaskManager不正常，而是TaskManager端认为这个连接没有活动，超过keepAliveTime了，而主动断开通信channel。
-在0.5.0及以后的版本中，可以调大TaskManager的`server.channel_keep_alive_time`来提高对不活跃channel的容忍度。默认值为1800s(0.5h)，特别是使用同步的离线命令时，这个值可能需要适当调大。
-在0.5.0以前的版本中，无法更改此配置，请升级TaskManager版本。
-
-### 3. 离线查询结果显示中文为什么乱码？
-
-在使用离线查询时，可能出现包含中文的查询结果乱码，主要和系统默认编码格式与Spark任务编码格式参数有关。
-
-如果出现乱码情况，可以通过添加Spark高级参数`spark.driver.extraJavaOptions=-Dfile.encoding=utf-8`和`spark.executor.extraJavaOptions=-Dfile.encoding=utf-8`来解决。
-
-客户端配置方法可参考[客户端Spark配置文件](../reference/client_config/client_spark_config.md)，也可以在TaskManager配置文件中添加此项配置。
-
-```
-spark.default.conf=spark.driver.extraJavaOptions=-Dfile.encoding=utf-8;spark.executor.extraJavaOptions=-Dfile.encoding=utf-8
-```
-
-### 4. 如何配置TaskManager来访问开启Kerberos的Yarn集群？
-
-如果Yarn集群开启Kerberos认证，TaskManager可以通过添加以下配置来访问开启Kerberos认证的Yarn集群。注意请根据实际配置修改keytab路径以及principal账号。
-
-```
-spark.default.conf=spark.yarn.keytab=/tmp/test.keytab;spark.yarn.principal=test@EXAMPLE.COM
-```
-
-### 5. 如何配置客户端的core日志？
-
-客户端core日志主要有两种，zk日志和sdk日志（glog日志），两者是独立的。
-
-zk日志：
-1. CLI：启动时配置`--zk_log_level`调整level,`--zk_log_file`配置日志保存文件。
-2. JAVA/Python SDK：Option或url中使用`zkLogLevel`调整level，`zkLogFile`配置日志保存文件。
-
-- `zk_log_level`(int, 默认=0, 即DISABLE_LOGGING): 
-打印这个等级及**以下**等级的日志。0-禁止所有zk log, 1-error, 2-warn, 3-info, 4-debug。
-
-sdk日志（glog日志）：
-1. CLI：启动时配置`--glog_level`调整level,`--glog_dir`配置日志保存文件。
-2. JAVA/Python SDK：Option或url中使用`glogLevel`调整level，`glogDir`配置日志保存文件。
-
-- `glog_level`(int, 默认=1, 即WARNING):
-打印这个等级及**以上**等级的日志。 INFO, WARNING, ERROR, and FATAL日志分别对应 0, 1, 2, and 3。
-
-
-### 6. 插入错误，日志显示`please use getInsertRow with ... first`
-
-在JAVA client使用InsertPreparedStatement进行插入，或在Python中使用sql和parameter进行插入时，client底层实际有cache影响，第一步`getInsertRow`生成sql cache并返回sql还需要补充的parameter信息，第二步才会真正执行insert，而执行insert需要使用第一步缓存的sql cache。所以，当多线程使用同一个client时，可能因为插入和查询频繁更新cache表，将你想要执行的insert sql cache淘汰掉了，所以会出现好像第一步`getInsertRow`并未执行的样子。
-
-目前可以通过调大`maxSqlCacheSize`这一配置项来避免错误。仅JAVA/Python SDK支持配置。
-
-### 7. 离线命令错误`java.lang.OutOfMemoryError: Java heap space`
-
-离线命令的Spark配置默认为`local[*]`，并发较高可能出现OutOfMemoryError错误，请调整`spark.driver.memory`和`spark.executor.memory`两个spark配置项。可以写在TaskManager运行目录的`conf/taskmanager.properties`的`spark.default.conf`并重启TaskManager，或者使用CLI客户端进行配置，参考[客户端Spark配置文件](../reference/client_config/client_spark_config.md)。
-```
-spark.default.conf=spark.driver.memory=16g;spark.executor.memory=16g
-```
diff --git a/docs/zh/maintain/index.rst b/docs/zh/maintain/index.rst
index a114cccef15..bdb0b551e87 100644
--- a/docs/zh/maintain/index.rst
+++ b/docs/zh/maintain/index.rst
@@ -16,4 +16,3 @@
     multi_cluster
     diagnose
     openmldb_ops
-    faq
diff --git a/docs/zh/maintain/openmldb_ops.md b/docs/zh/maintain/openmldb_ops.md
index 10b53437b52..591ae355a75 100644
--- a/docs/zh/maintain/openmldb_ops.md
+++ b/docs/zh/maintain/openmldb_ops.md
@@ -31,9 +31,12 @@
 
 **使用示例**
 ```
-python tools/openmldb_ops.py --openmldb_bin_path=./bin/openmldb --zk_cluster=172.24.4.40:30481 --zk_root_path=/openmldb --cmd=scaleout
+python tools/openmldb_ops.py --openmldb_bin_path=./bin/openmldb --zk_cluster=0.0.0.0:2181 --zk_root_path=/openmldb --cmd=scaleout
+python tools/openmldb_ops.py --openmldb_bin_path=./bin/openmldb --zk_cluster=0.0.0.0:2181 --zk_root_path=/openmldb --cmd=recoverdata
 ```
 
+注：理论上openmldb_ops不要求版本匹配，高版本openmldb_ops可以操作低版本的openmldb集群。
+
 ### 系统要求
 - 要求python2.7及以上版本
 - `showopstatus`和`showtablestatus`需要`prettytable`依赖
diff --git a/docs/zh/openmldb_sql/dql/WINDOW_CLAUSE.md b/docs/zh/openmldb_sql/dql/WINDOW_CLAUSE.md
index 18f49149429..6dacf10c268 100644
--- a/docs/zh/openmldb_sql/dql/WINDOW_CLAUSE.md
+++ b/docs/zh/openmldb_sql/dql/WINDOW_CLAUSE.md
@@ -86,27 +86,43 @@ SELECT select_expr [,select_expr...], window_function_name(expr) OVER window_nam
 再看窗口想要什么大小，这里要分窗口类型说明：
 1. 时间窗口：时间窗口通常使用s, m, h, d等时间单位，如果没有单位，默认为ms。比如：
 
-    [3小时前,当前行] - 3h preceding and current row
-    [3小时前，30分钟前] - 3h preceding and 30m preceding
+    - [3小时前，当前行] - 3h preceding and current row
+    - [3小时前，30分钟前] - 3h preceding and 30m preceding
 
 1. 条数窗口：条数不需要单位。比如：
-    [10条，当前行] - 10 preceding and current row
-    [10条，3条] - 10 preceding and 3 preceding
+    - [10条，当前行] - 10 preceding and current row
+    - [10条，3条] - 10 preceding and 3 preceding
 
 ### 如何推断窗口是什么样的？
 
 首先，先明确是什么执行模式：
 
-离线模式，即批模式，它是对from表的每一行都做一次窗口划分与计算。因此，每一行对应产生一行SQL结果。
-请求模式，会带一条请求行，它会将请求行当做from表的数据，只对该行做窗口划分和计算，因此，只产生一行SQL结果。
+离线模式或在线预览模式，合称为批模式，它是对from表的每一行都做一次窗口划分与计算。因此，每一行对应产生一行SQL结果。
+请求模式，会带一条请求行，它会将请求行当做from表的数据，只对该行做窗口划分和计算，因此，只产生一行SQL结果。注意，不会将请求行插入到表中。
 
-再看，如何划分窗口：
+我们将批模式看作多次请求模式来看待，所以请求模式查询如何划分窗口，我们分为三段来讲：
 
-我们将批模式看作多次请求模式来看待。所以，对一次请求行来说，窗口只可能包含，它自己，与它的partition by列值相等的行（可能的全集）。
+- 对一次请求行来说，窗口**只可能**包含，它自己，与它的partition by列值相等的行
 
-partition key相等的所有行，还不是窗口，经由order by列排序后，还需要排除窗口范围以外的数据。比如，10 preceding and current row的条数窗口，就要抛弃10行以外的数据行（第10行包含在窗口内），又因为包括current row，于是窗口一共有11行数据。
+- partition key相等的所有行，它们不是乱序，而是按**order by列**排序
 
-* preceding为闭区间，包含该条，开区间使用open preceding
+- 根据rows/rows_range排除窗口范围以外的数据
+    - rows：例如，10 preceding and current row的条数窗口，就要抛弃10行以外的数据行（第10行包含在窗口内），又因为包括current row，于是窗口一共有11行数据。
+    -rows_range：例如，10s preceding and current row的时间窗口，就要抛弃10s以外的数据行（第10s包含在窗口内），也包括current row，于是窗口只会出现order key值在`[current_row_order_key - 10s, current_row_order_key]`范围内的数据行。
+
+```{note}
+窗口划分范围，仅与order by列相关。如果认为窗口内行数或具体某数据不符合预期范围，一般是窗口写法的误解，极小概率是SQL引擎计算有误。请以某一个partition key为例，分步检查表的数据（以下操作都是在线模式）：
+- 提取与该key相等的所有数据。可以使用`select * from table where partition_key = xxx`来提取，或使用源数据文件，通过pandas/spark等工具提取。
+- 再按order by列排序，这类似于window设置窗口为unbounded preceding and current row。此处，可以将手动处理的数据和OpenMLDB的unbounded window计算结果进行对比。
+  - 由于OpenMLDB只支持在窗口内聚合，很难看到窗口的数据全貌，而且窗口内数据较多时，查看全部也是很难的。通常是使用count/min/max/lag等聚合函数来衡量窗口内数据的数量和范围。
+  - 如果仍需要通过窗口内具体数据来确认，可以使用top来展示前k大的值，但它会对列进行再排序，不能等同于窗口排序（order by列排序）。其他聚合函数，参考[udf函数](../udfs_8h.md)。
+- 最后，再检查窗口的rows/rows_range设置是否符合预期。
+  - 通常情况，如果前两步没问题，条数划分一般不会有问题。
+  - 时间划分，需要注意时间单位。OpenMLDB中order by列无论是timestamp还是bigint，都当作整数来计算的，timestamp是转换为ms为单位的整数。我们支持在窗口设置中使用时间单位，但不会对表中的order by列值做任何单位假设。例如，如果order by列
+并非timestamp，而是设置整数`20230905`，在时间窗口设置5ms时，窗口的范围是`[20230905 - 5, 20230905]`，而不是`[20230905 00:00:00 - 5ms, 20230905]`。**请谨慎对待order by列，最方便的做法是，任何时间格式都将其转换为timestamp或ms为单位的bigint**。
+```
+
+* preceding为闭区间，包含该条，开区间需使用open preceding
 
 窗口还可以exclude current time，current row等，详情见下文。
 
@@ -332,5 +348,5 @@ WINDOW w1 AS (PARTITION BY col1 ORDER BY col5 ROWS_RANGE BETWEEN 10s PRECEDING A
 ```
 
 ```{seealso}
-窗口计算可使用的聚合函数，参考[Built-in Functions](../functions_and_operators/Files/udfs_8h.md)
+窗口计算可使用的聚合函数，参考[Built-in Functions](../udfs_8h.md)
 ```
diff --git a/docs/zh/openmldb_sql/functions_and_operators/index.rst b/docs/zh/openmldb_sql/functions_and_operators/index.rst
index 36329c03045..8dfb1e18cee 100644
--- a/docs/zh/openmldb_sql/functions_and_operators/index.rst
+++ b/docs/zh/openmldb_sql/functions_and_operators/index.rst
@@ -7,4 +7,3 @@
     :maxdepth: 1
 
     operators
-    Files/udfs_8h
diff --git a/docs/zh/openmldb_sql/index.rst b/docs/zh/openmldb_sql/index.rst
index 7d00e9ed532..149147f1f55 100644
--- a/docs/zh/openmldb_sql/index.rst
+++ b/docs/zh/openmldb_sql/index.rst
@@ -10,6 +10,7 @@ OpenMLDB SQL
     language_structure/index 
     data_types/index
     functions_and_operators/index
+    udfs_8h
     dql/index
     dml/index
     ddl/index
diff --git a/docs/zh/openmldb_sql/sql_difference.md b/docs/zh/openmldb_sql/sql_difference.md
index 3118f8f71bb..3d24f399f4d 100644
--- a/docs/zh/openmldb_sql/sql_difference.md
+++ b/docs/zh/openmldb_sql/sql_difference.md
@@ -54,7 +54,7 @@
 | LAST JOIN          | ✓            | ✓                | ✕                |
 | 子查询 / WITH 子句 | ✓            | ✓                | ✕                |
 
-虽然在线请求模式无法支持 `WHERE` 子句，但是部分功能可以通过带有 `_where` 后缀的计算函数实现，比如 `count_where`, `avg_where` 等，详情查看[内置计算函数文档](functions_and_operators/Files/udfs_8h.md)。
+虽然在线请求模式无法支持 `WHERE` 子句，但是部分功能可以通过带有 `_where` 后缀的计算函数实现，比如 `count_where`, `avg_where` 等，详情查看[内置计算函数文档](./udfs_8h.md)。
 
 ### LIMIT 子句
 
@@ -127,7 +127,7 @@ OpenMLDB (>= v0.7.2) 支持非递归的 WITH 子句。WITH 子句等价于其它
 特殊限制：
 
 - OpenMLDB v0.6.0 开始支持在线预览模式的全表聚合，但注意所描述的[扫描限制配置](https://openmldb.feishu.cn/wiki/wikcnhBl4NsKcAX6BO9NDtKAxDf#doxcnLWICKzccMuPiWwdpVjSaIe)。
-- OpenMLDB 有较多的聚合函数扩展，请查看产品文档具体查询所支持的函数 [OpenMLDB 内置函数](../openmldb_sql/functions_and_operators/Files/udfs_8h.md)。
+- OpenMLDB 有较多的聚合函数扩展，请查看产品文档具体查询所支持的函数 [OpenMLDB 内置函数](../openmldb_sql/udfs_8h.md)。
 
 ## 扩展语法
 
diff --git a/docs/zh/openmldb_sql/udf_develop_guide.md b/docs/zh/openmldb_sql/udf_develop_guide.md
index 7fe4e81988d..761e66dea6f 100644
--- a/docs/zh/openmldb_sql/udf_develop_guide.md
+++ b/docs/zh/openmldb_sql/udf_develop_guide.md
@@ -11,7 +11,7 @@
 #### 2.1.1 C++函数名规范
 - C++内置函数名统一使用[snake_case](https://en.wikipedia.org/wiki/Snake_case)风格
 - 要求函数名能清晰表达函数功能
-- 函数不能重名。函数名不能和内置函数及其他自定义函数重名。所有内置函数的列表参考[这里](../openmldb_sql/functions_and_operators/Files/udfs_8h.md)
+- 函数不能重名。函数名不能和内置函数及其他自定义函数重名。所有内置函数的列表参考[这里](../openmldb_sql/udfs_8h.md)
 #### 2.1.2 C++类型与SQL类型对应关系
 内置C++函数的参数类型限定为：BOOL类型，数值类型，时间戳日期类型和字符串类型。C++类型SQL类型对应关系如下：
 
diff --git a/docs/zh/openmldb_sql/functions_and_operators/Files/udfs_8h.md b/docs/zh/openmldb_sql/udfs_8h.md
similarity index 68%
rename from docs/zh/openmldb_sql/functions_and_operators/Files/udfs_8h.md
rename to docs/zh/openmldb_sql/udfs_8h.md
index d1696b6c764..9cfab05977f 100644
--- a/docs/zh/openmldb_sql/functions_and_operators/Files/udfs_8h.md
+++ b/docs/zh/openmldb_sql/udfs_8h.md
@@ -10,158 +10,158 @@ title: udfs/udfs.h
 
 | Name          | Description    |
 | -------------- | -------------- |
-| **[abs](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-abs)**()| <br>Return the absolute value of expr. |
-| **[acos](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-acos)**()| <br>Return the arc cosine of expr. |
-| **[add](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-add)**()| <br>Compute sum of two arguments. |
-| **[add_months](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-add-months)**()| <br>adds an integer months to a given date, returning the resulting date. |
-| **[array_contains](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-array-contains)**()| <br>array_contains(array, value) - Returns true if the array contains the value. |
-| **[asin](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-asin)**()| <br>Return the arc sine of expr. |
-| **[at](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-at)**()| |
-| **[atan](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-atan)**()| <br>Return the arc tangent of expr If called with one parameter, this function returns the arc tangent of expr. If called with two parameters X and Y, this function returns the arc tangent of Y / X. |
-| **[atan2](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-atan2)**()| <br>Return the arc tangent of Y / X.. |
-| **[avg](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-avg)**()| <br>Compute average of values. |
-| **[avg_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-avg-cate)**()| <br>Compute average of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[avg_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V', separated by comma, and sorted by key in ascend order. |
-| **[avg_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-avg-where)**()| <br>Compute average of values match specified condition. |
-| **[bigint](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-bigint)**()| |
-| **[bool](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-bool)**()| <br>Cast string expression to bool. |
-| **[ceil](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ceil)**()| <br>Return the smallest integer value not less than the expr. |
-| **[ceiling](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ceiling)**()| |
-| **[char](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-char)**()| <br>Returns the ASCII character having the binary equivalent to expr. If n >= 256 the result is equivalent to char(n % 256). |
-| **[char_length](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-char-length)**()| <br>Returns the length of the string. It is measured in characters and multibyte character string is not supported. |
-| **[character_length](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-character-length)**()| |
-| **[concat](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-concat)**()| <br>This function returns a string resulting from the joining of two or more string values in an end-to-end manner. (To add a separating value during joining, see concat_ws.) |
-| **[concat_ws](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-concat-ws)**()| <br>Returns a string resulting from the joining of two or more string value in an end-to-end manner. It separates those concatenated string values with the delimiter specified in the first function argument. |
-| **[cos](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-cos)**()| <br>Return the cosine of expr. |
-| **[cot](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-cot)**()| <br>Return the cotangent of expr. |
-| **[count](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-count)**()| <br>Compute number of values. |
-| **[count_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-count-cate)**()| <br>Compute count of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[count_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[count_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-count-where)**()| <br>Compute number of values match specified condition. |
-| **[date](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-date)**()| <br>Cast timestamp or string expression to date (date >= 1900-01-01) |
-| **[date_format](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-date-format)**()| <br>Formats the date value according to the format string. |
-| **[datediff](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-datediff)**()| <br>days difference from date1 to date2 |
-| **[day](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-day)**()| |
-| **[dayofmonth](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-dayofmonth)**()| <br>Return the day of the month for a timestamp or date. |
-| **[dayofweek](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-dayofweek)**()| <br>Return the day of week for a timestamp or date. |
-| **[dayofyear](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-dayofyear)**()| <br>Return the day of year for a timestamp or date. Returns 0 given an invalid date. |
-| **[degrees](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-degrees)**()| <br>Convert radians to degrees. |
-| **[distinct_count](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-distinct-count)**()| <br>Compute number of distinct values. |
-| **[double](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-double)**()| <br>Cast string expression to double. |
-| **[drawdown](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-drawdown)**()| <br>Compute drawdown of values. |
-| **[earth_distance](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-earth-distance)**()| <br>Returns the great circle distance between two points on the surface of the Earth. Km as return unit. add a minus (-) sign if heading west (W) or south (S). |
-| **[entropy](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-entropy)**()| <br>Calculate Shannon entropy of a column of values. Null values are skipped. |
-| **[ew_avg](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ew-avg)**()| <br>Compute exponentially-weighted average of values. It's equivalent to pandas ewm(alpha={alpha}, adjust=True, ignore_na=True, com=None, span=None, halflife=None, min_periods=0) |
-| **[exp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-exp)**()| <br>Return the value of e (the base of natural logarithms) raised to the power of expr. |
-| **[farm_fingerprint](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-farm-fingerprint)**()| |
-| **[first_value](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-first-value)**()| <br>Returns the value of expr from the latest row (last row) of the window frame. |
-| **[float](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-float)**()| <br>Cast string expression to float. |
-| **[floor](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-floor)**()| <br>Return the largest integer value not less than the expr. |
-| **[get_json_object](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-get-json-object)**()| <br>Extracts a JSON object from [JSON Pointer](https://datatracker.ietf.org/doc/html/rfc6901)|
-| **[hash64](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-hash64)**()| <br>Returns a hash value of the arguments. It is not a cryptographic hash function and should not be used as such. |
-| **[hex](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-hex)**()| <br>Convert integer to hexadecimal. |
-| **[hour](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-hour)**()| <br>Return the hour for a timestamp. |
-| **[identity](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-identity)**()| <br>Return value. |
-| **[if_null](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-if-null)**()| <br>If input is not null, return input value; else return default value. |
-| **[ifnull](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ifnull)**()| |
-| **[ilike_match](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ilike-match)**()| <br>pattern match same as ILIKE predicate |
-| **[inc](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-inc)**()| <br>Return expression + 1. |
-| **[int](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-int)**()| |
-| **[int16](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-int16)**()| <br>Cast string expression to int16. |
-| **[int32](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-int32)**()| <br>Cast string expression to int32. |
-| **[int64](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-int64)**()| <br>Cast string expression to int64. |
-| **[is_null](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-is-null)**()| <br>Check if input value is null, return bool. |
-| **[isnull](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-isnull)**()| |
-| **[join](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-join)**()| <br>For each string value from specified column of window, join by delimeter. Null values are skipped. |
-| **[json_array_length](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-json-array-length)**()| <br>Returns the number of elements in the outermost JSON array. |
-| **[lag](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-lag)**()| <br>Returns value evaluated at the row that is offset rows before the current row within the partition. Offset is evaluated with respect to the current row. |
-| **[last_day](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-last-day)**()| <br>Return the last day of the month to which the date belongs to. |
-| **[lcase](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-lcase)**()| <br>Convert all the characters to lowercase. Note that characters with values > 127 are simply returned. |
-| **[like_match](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-like-match)**()| <br>pattern match same as LIKE predicate |
-| **[list_except_by_key](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-list-except-by-key)**()| <br>Return list of elements in list1 but keys not in except_str. |
-| **[list_except_by_value](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-list-except-by-value)**()| <br>Return list of elements in list1 but values not in except_str. |
-| **[ln](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ln)**()| <br>Return the natural logarithm of expr. |
-| **[log](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-log)**()| <br>log(base, expr) If called with one parameter, this function returns the natural logarithm of expr. If called with two parameters, this function returns the logarithm of expr to the base. |
-| **[log10](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-log10)**()| <br>Return the base-10 logarithm of expr. |
-| **[log2](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-log2)**()| <br>Return the base-2 logarithm of expr. |
-| **[lower](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-lower)**()| |
-| **[make_tuple](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-make-tuple)**()| |
-| **[max](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-max)**()| <br>Compute maximum of values. |
-| **[max_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-max-cate)**()| <br>Compute maximum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[max_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[max_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-max-where)**()| <br>Compute maximum of values match specified condition. |
-| **[maximum](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-maximum)**()| <br>Compute maximum of two arguments. |
-| **[median](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-median)**()| <br>Compute the median of values. |
-| **[min](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-min)**()| <br>Compute minimum of values. |
-| **[min_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-min-cate)**()| <br>Compute minimum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[min_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[min_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-min-where)**()| <br>Compute minimum of values match specified condition. |
-| **[minimum](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-minimum)**()| <br>Compute minimum of two arguments. |
-| **[minute](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-minute)**()| <br>Return the minute for a timestamp. |
-| **[month](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-month)**()| <br>Return the month part of a timestamp or date. |
-| **[nth_value_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-nth-value-where)**()| <br>Returns the value of expr from the idx th row matches the condition. |
-| **[nvl](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-nvl)**()| |
-| **[nvl2](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-nvl2)**()| <br>nvl2(expr1, expr2, expr3) - Returns expr2 if expr1 is not null, or expr3 otherwise. |
-| **[pmod](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-pmod)**()| <br>Compute pmod of two arguments. If any param is NULL, output NULL. If divisor is 0, output NULL. |
-| **[pow](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-pow)**()| <br>Return the value of expr1 to the power of expr2. |
-| **[power](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-power)**()| |
-| **[radians](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-radians)**()| <br>Returns the argument X, converted from degrees to radians. (Note that π radians equals 180 degrees.) |
-| **[regexp_like](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-regexp-like)**()| <br>pattern match same as RLIKE predicate (based on RE2) |
-| **[replace](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-replace)**()| <br>replace(str, search[, replace]) - Replaces all occurrences of `search` with `replace`|
-| **[reverse](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-reverse)**()| <br>Returns the reversed given string. |
-| **[round](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-round)**()| <br>Returns expr rounded to d decimal places using HALF_UP rounding mode. |
-| **[second](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-second)**()| <br>Return the second for a timestamp. |
-| **[sin](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sin)**()| <br>Return the sine of expr. |
-| **[size](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-size)**()| <br>Get the size of a List (e.g., result of split) |
-| **[smallint](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-smallint)**()| |
-| **[split](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-split)**()| <br>Split string to list by delimeter. Null values are skipped. |
-| **[split_array](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-split-array)**()| <br>Split string to array of string by delimeter. |
-| **[split_by_key](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-split-by-key)**()| <br>Split string by delimeter and split each segment as kv pair, then add each key to output list. Null or illegal segments are skipped. |
-| **[split_by_value](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-split-by-value)**()| <br>Split string by delimeter and split each segment as kv pair, then add each value to output list. Null or illegal segments are skipped. |
-| **[sqrt](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sqrt)**()| <br>Return square root of expr. |
-| **[std](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-std)**()| |
-| **[stddev](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-stddev)**()| <br>Compute sample standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) / (n-1) )`|
-| **[stddev_pop](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-stddev-pop)**()| <br>Compute population standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) / n )`|
-| **[stddev_samp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-stddev-samp)**()| |
-| **[strcmp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-strcmp)**()| <br>Returns 0 if the strings are the same, -1 if the first argument is smaller than the second according to the current sort order, and 1 otherwise. |
-| **[string](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-string)**()| <br>Return string converted from timestamp expression. |
-| **[substr](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-substr)**()| |
-| **[substring](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-substring)**()| <br>Return a substring `len` characters long from string str, starting at position `pos`. Alias function: `substr`|
-| **[sum](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sum)**()| <br>Compute sum of values. |
-| **[sum_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sum-cate)**()| <br>Compute sum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[sum_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
-| **[sum_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sum-where)**()| <br>Compute sum of values match specified condition. |
-| **[tan](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-tan)**()| <br>Return the tangent of expr. |
-| **[timestamp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-timestamp)**()| <br>Cast int64, date or string expression to timestamp. |
-| **[top](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top)**()| <br>Compute top k of values and output string separated by comma. The outputs are sorted in desc order. |
-| **[top1_ratio](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top1-ratio)**()| <br>Compute the top1 occurring value's ratio. |
-| **[top_n_key_avg_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_key_count_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_key_max_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_key_min_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_key_ratio_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-ratio-cate)**()| <br>Ratios (cond match cnt / total cnt) for groups. |
-| **[top_n_key_sum_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-key-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_avg_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_count_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_max_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_min_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[top_n_value_ratio_cate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-ratio-cate)**()| <br>Ratios (cond match cnt / total cnt) for groups. |
-| **[top_n_value_sum_cate_where](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-top-n-value-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
-| **[topn_frequency](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-topn-frequency)**()| <br>Return the topN keys sorted by their frequency. |
-| **[truncate](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-truncate)**()| <br>Return the nearest integer that is not greater in magnitude than the expr. |
-| **[ucase](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-ucase)**()| <br>Convert all the characters to uppercase. Note that characters values > 127 are simply returned. |
-| **[unhex](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-unhex)**()| <br>Convert hexadecimal to binary string. |
-| **[unix_timestamp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-unix-timestamp)**()| <br>Cast date or string expression to unix_timestamp. If empty string or NULL is provided, return current timestamp. |
-| **[upper](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-upper)**()| |
-| **[var_pop](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-var-pop)**()| <br>Compute population variance of values, i.e., `sum((x_i - avg)^2) / n`|
-| **[var_samp](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-var-samp)**()| <br>Compute population variance of values, i.e., `sum((x_i - avg)^2) / (n-1)`|
-| **[variance](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-variance)**()| |
-| **[week](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-week)**()| |
-| **[weekofyear](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-weekofyear)**()| <br>Return the week of year for a timestamp or date. |
-| **[window_split](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-window-split)**()| <br>For each string value from specified column of window, split by delimeter and add segment to output list. Null values are skipped. |
-| **[window_split_by_key](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-window-split-by-key)**()| <br>For each string value from specified column of window, split by delimeter and then split each segment as kv pair, then add each key to output list. Null and illegal segments are skipped. |
-| **[window_split_by_value](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-window-split-by-value)**()| <br>For each string value from specified column of window, split by delimeter and then split each segment as kv pair, then add each value to output list. Null and illegal segments are skipped. |
-| **[year](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-year)**()| <br>Return the year part of a timestamp or date. |
+| **[abs](/openmldb_sql/Files/udfs_8h.md#function-abs)**()| <br>Return the absolute value of expr. |
+| **[acos](/openmldb_sql/Files/udfs_8h.md#function-acos)**()| <br>Return the arc cosine of expr. |
+| **[add](/openmldb_sql/Files/udfs_8h.md#function-add)**()| <br>Compute sum of two arguments. |
+| **[add_months](/openmldb_sql/Files/udfs_8h.md#function-add-months)**()| <br>adds an integer months to a given date, returning the resulting date. |
+| **[array_contains](/openmldb_sql/Files/udfs_8h.md#function-array-contains)**()| <br>array_contains(array, value) - Returns true if the array contains the value. |
+| **[asin](/openmldb_sql/Files/udfs_8h.md#function-asin)**()| <br>Return the arc sine of expr. |
+| **[at](/openmldb_sql/Files/udfs_8h.md#function-at)**()| |
+| **[atan](/openmldb_sql/Files/udfs_8h.md#function-atan)**()| <br>Return the arc tangent of expr If called with one parameter, this function returns the arc tangent of expr. If called with two parameters X and Y, this function returns the arc tangent of Y / X. |
+| **[atan2](/openmldb_sql/Files/udfs_8h.md#function-atan2)**()| <br>Return the arc tangent of Y / X.. |
+| **[avg](/openmldb_sql/Files/udfs_8h.md#function-avg)**()| <br>Compute average of values. |
+| **[avg_cate](/openmldb_sql/Files/udfs_8h.md#function-avg-cate)**()| <br>Compute average of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[avg_cate_where](/openmldb_sql/Files/udfs_8h.md#function-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V', separated by comma, and sorted by key in ascend order. |
+| **[avg_where](/openmldb_sql/Files/udfs_8h.md#function-avg-where)**()| <br>Compute average of values match specified condition. |
+| **[bigint](/openmldb_sql/Files/udfs_8h.md#function-bigint)**()| |
+| **[bool](/openmldb_sql/Files/udfs_8h.md#function-bool)**()| <br>Cast string expression to bool. |
+| **[ceil](/openmldb_sql/Files/udfs_8h.md#function-ceil)**()| <br>Return the smallest integer value not less than the expr. |
+| **[ceiling](/openmldb_sql/Files/udfs_8h.md#function-ceiling)**()| |
+| **[char](/openmldb_sql/Files/udfs_8h.md#function-char)**()| <br>Returns the ASCII character having the binary equivalent to expr. If n >= 256 the result is equivalent to char(n % 256). |
+| **[char_length](/openmldb_sql/Files/udfs_8h.md#function-char-length)**()| <br>Returns the length of the string. It is measured in characters and multibyte character string is not supported. |
+| **[character_length](/openmldb_sql/Files/udfs_8h.md#function-character-length)**()| |
+| **[concat](/openmldb_sql/Files/udfs_8h.md#function-concat)**()| <br>This function returns a string resulting from the joining of two or more string values in an end-to-end manner. (To add a separating value during joining, see concat_ws.) |
+| **[concat_ws](/openmldb_sql/Files/udfs_8h.md#function-concat-ws)**()| <br>Returns a string resulting from the joining of two or more string value in an end-to-end manner. It separates those concatenated string values with the delimiter specified in the first function argument. |
+| **[cos](/openmldb_sql/Files/udfs_8h.md#function-cos)**()| <br>Return the cosine of expr. |
+| **[cot](/openmldb_sql/Files/udfs_8h.md#function-cot)**()| <br>Return the cotangent of expr. |
+| **[count](/openmldb_sql/Files/udfs_8h.md#function-count)**()| <br>Compute number of values. |
+| **[count_cate](/openmldb_sql/Files/udfs_8h.md#function-count-cate)**()| <br>Compute count of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[count_cate_where](/openmldb_sql/Files/udfs_8h.md#function-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[count_where](/openmldb_sql/Files/udfs_8h.md#function-count-where)**()| <br>Compute number of values match specified condition. |
+| **[date](/openmldb_sql/Files/udfs_8h.md#function-date)**()| <br>Cast timestamp or string expression to date (date >= 1900-01-01) |
+| **[date_format](/openmldb_sql/Files/udfs_8h.md#function-date-format)**()| <br>Formats the date value according to the format string. |
+| **[datediff](/openmldb_sql/Files/udfs_8h.md#function-datediff)**()| <br>days difference from date1 to date2 |
+| **[day](/openmldb_sql/Files/udfs_8h.md#function-day)**()| |
+| **[dayofmonth](/openmldb_sql/Files/udfs_8h.md#function-dayofmonth)**()| <br>Return the day of the month for a timestamp or date. |
+| **[dayofweek](/openmldb_sql/Files/udfs_8h.md#function-dayofweek)**()| <br>Return the day of week for a timestamp or date. |
+| **[dayofyear](/openmldb_sql/Files/udfs_8h.md#function-dayofyear)**()| <br>Return the day of year for a timestamp or date. Returns 0 given an invalid date. |
+| **[degrees](/openmldb_sql/Files/udfs_8h.md#function-degrees)**()| <br>Convert radians to degrees. |
+| **[distinct_count](/openmldb_sql/Files/udfs_8h.md#function-distinct-count)**()| <br>Compute number of distinct values. |
+| **[double](/openmldb_sql/Files/udfs_8h.md#function-double)**()| <br>Cast string expression to double. |
+| **[drawdown](/openmldb_sql/Files/udfs_8h.md#function-drawdown)**()| <br>Compute drawdown of values. |
+| **[earth_distance](/openmldb_sql/Files/udfs_8h.md#function-earth-distance)**()| <br>Returns the great circle distance between two points on the surface of the Earth. Km as return unit. add a minus (-) sign if heading west (W) or south (S). |
+| **[entropy](/openmldb_sql/Files/udfs_8h.md#function-entropy)**()| <br>Calculate Shannon entropy of a column of values. Null values are skipped. |
+| **[ew_avg](/openmldb_sql/Files/udfs_8h.md#function-ew-avg)**()| <br>Compute exponentially-weighted average of values. It's equivalent to pandas ewm(alpha={alpha}, adjust=True, ignore_na=True, com=None, span=None, halflife=None, min_periods=0) |
+| **[exp](/openmldb_sql/Files/udfs_8h.md#function-exp)**()| <br>Return the value of e (the base of natural logarithms) raised to the power of expr. |
+| **[farm_fingerprint](/openmldb_sql/Files/udfs_8h.md#function-farm-fingerprint)**()| |
+| **[first_value](/openmldb_sql/Files/udfs_8h.md#function-first-value)**()| <br>Returns the value of expr from the latest row (last row) of the window frame. |
+| **[float](/openmldb_sql/Files/udfs_8h.md#function-float)**()| <br>Cast string expression to float. |
+| **[floor](/openmldb_sql/Files/udfs_8h.md#function-floor)**()| <br>Return the largest integer value not less than the expr. |
+| **[get_json_object](/openmldb_sql/Files/udfs_8h.md#function-get-json-object)**()| <br>Extracts a JSON object from [JSON Pointer](https://datatracker.ietf.org/doc/html/rfc6901)|
+| **[hash64](/openmldb_sql/Files/udfs_8h.md#function-hash64)**()| <br>Returns a hash value of the arguments. It is not a cryptographic hash function and should not be used as such. |
+| **[hex](/openmldb_sql/Files/udfs_8h.md#function-hex)**()| <br>Convert integer to hexadecimal. |
+| **[hour](/openmldb_sql/Files/udfs_8h.md#function-hour)**()| <br>Return the hour for a timestamp. |
+| **[identity](/openmldb_sql/Files/udfs_8h.md#function-identity)**()| <br>Return value. |
+| **[if_null](/openmldb_sql/Files/udfs_8h.md#function-if-null)**()| <br>If input is not null, return input value; else return default value. |
+| **[ifnull](/openmldb_sql/Files/udfs_8h.md#function-ifnull)**()| |
+| **[ilike_match](/openmldb_sql/Files/udfs_8h.md#function-ilike-match)**()| <br>pattern match same as ILIKE predicate |
+| **[inc](/openmldb_sql/Files/udfs_8h.md#function-inc)**()| <br>Return expression + 1. |
+| **[int](/openmldb_sql/Files/udfs_8h.md#function-int)**()| |
+| **[int16](/openmldb_sql/Files/udfs_8h.md#function-int16)**()| <br>Cast string expression to int16. |
+| **[int32](/openmldb_sql/Files/udfs_8h.md#function-int32)**()| <br>Cast string expression to int32. |
+| **[int64](/openmldb_sql/Files/udfs_8h.md#function-int64)**()| <br>Cast string expression to int64. |
+| **[is_null](/openmldb_sql/Files/udfs_8h.md#function-is-null)**()| <br>Check if input value is null, return bool. |
+| **[isnull](/openmldb_sql/Files/udfs_8h.md#function-isnull)**()| |
+| **[join](/openmldb_sql/Files/udfs_8h.md#function-join)**()| <br>For each string value from specified column of window, join by delimeter. Null values are skipped. |
+| **[json_array_length](/openmldb_sql/Files/udfs_8h.md#function-json-array-length)**()| <br>Returns the number of elements in the outermost JSON array. |
+| **[lag](/openmldb_sql/Files/udfs_8h.md#function-lag)**()| <br>Returns value evaluated at the row that is offset rows before the current row within the partition. Offset is evaluated with respect to the current row. |
+| **[last_day](/openmldb_sql/Files/udfs_8h.md#function-last-day)**()| <br>Return the last day of the month to which the date belongs to. |
+| **[lcase](/openmldb_sql/Files/udfs_8h.md#function-lcase)**()| <br>Convert all the characters to lowercase. Note that characters with values > 127 are simply returned. |
+| **[like_match](/openmldb_sql/Files/udfs_8h.md#function-like-match)**()| <br>pattern match same as LIKE predicate |
+| **[list_except_by_key](/openmldb_sql/Files/udfs_8h.md#function-list-except-by-key)**()| <br>Return list of elements in list1 but keys not in except_str. |
+| **[list_except_by_value](/openmldb_sql/Files/udfs_8h.md#function-list-except-by-value)**()| <br>Return list of elements in list1 but values not in except_str. |
+| **[ln](/openmldb_sql/Files/udfs_8h.md#function-ln)**()| <br>Return the natural logarithm of expr. |
+| **[log](/openmldb_sql/Files/udfs_8h.md#function-log)**()| <br>log(base, expr) If called with one parameter, this function returns the natural logarithm of expr. If called with two parameters, this function returns the logarithm of expr to the base. |
+| **[log10](/openmldb_sql/Files/udfs_8h.md#function-log10)**()| <br>Return the base-10 logarithm of expr. |
+| **[log2](/openmldb_sql/Files/udfs_8h.md#function-log2)**()| <br>Return the base-2 logarithm of expr. |
+| **[lower](/openmldb_sql/Files/udfs_8h.md#function-lower)**()| |
+| **[make_tuple](/openmldb_sql/Files/udfs_8h.md#function-make-tuple)**()| |
+| **[max](/openmldb_sql/Files/udfs_8h.md#function-max)**()| <br>Compute maximum of values. |
+| **[max_cate](/openmldb_sql/Files/udfs_8h.md#function-max-cate)**()| <br>Compute maximum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[max_cate_where](/openmldb_sql/Files/udfs_8h.md#function-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[max_where](/openmldb_sql/Files/udfs_8h.md#function-max-where)**()| <br>Compute maximum of values match specified condition. |
+| **[maximum](/openmldb_sql/Files/udfs_8h.md#function-maximum)**()| <br>Compute maximum of two arguments. |
+| **[median](/openmldb_sql/Files/udfs_8h.md#function-median)**()| <br>Compute the median of values. |
+| **[min](/openmldb_sql/Files/udfs_8h.md#function-min)**()| <br>Compute minimum of values. |
+| **[min_cate](/openmldb_sql/Files/udfs_8h.md#function-min-cate)**()| <br>Compute minimum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[min_cate_where](/openmldb_sql/Files/udfs_8h.md#function-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[min_where](/openmldb_sql/Files/udfs_8h.md#function-min-where)**()| <br>Compute minimum of values match specified condition. |
+| **[minimum](/openmldb_sql/Files/udfs_8h.md#function-minimum)**()| <br>Compute minimum of two arguments. |
+| **[minute](/openmldb_sql/Files/udfs_8h.md#function-minute)**()| <br>Return the minute for a timestamp. |
+| **[month](/openmldb_sql/Files/udfs_8h.md#function-month)**()| <br>Return the month part of a timestamp or date. |
+| **[nth_value_where](/openmldb_sql/Files/udfs_8h.md#function-nth-value-where)**()| <br>Returns the value of expr from the idx th row matches the condition. |
+| **[nvl](/openmldb_sql/Files/udfs_8h.md#function-nvl)**()| |
+| **[nvl2](/openmldb_sql/Files/udfs_8h.md#function-nvl2)**()| <br>nvl2(expr1, expr2, expr3) - Returns expr2 if expr1 is not null, or expr3 otherwise. |
+| **[pmod](/openmldb_sql/Files/udfs_8h.md#function-pmod)**()| <br>Compute pmod of two arguments. If any param is NULL, output NULL. If divisor is 0, output NULL. |
+| **[pow](/openmldb_sql/Files/udfs_8h.md#function-pow)**()| <br>Return the value of expr1 to the power of expr2. |
+| **[power](/openmldb_sql/Files/udfs_8h.md#function-power)**()| |
+| **[radians](/openmldb_sql/Files/udfs_8h.md#function-radians)**()| <br>Returns the argument X, converted from degrees to radians. (Note that π radians equals 180 degrees.) |
+| **[regexp_like](/openmldb_sql/Files/udfs_8h.md#function-regexp-like)**()| <br>pattern match same as RLIKE predicate (based on RE2) |
+| **[replace](/openmldb_sql/Files/udfs_8h.md#function-replace)**()| <br>replace(str, search[, replace]) - Replaces all occurrences of `search` with `replace`|
+| **[reverse](/openmldb_sql/Files/udfs_8h.md#function-reverse)**()| <br>Returns the reversed given string. |
+| **[round](/openmldb_sql/Files/udfs_8h.md#function-round)**()| <br>Returns expr rounded to d decimal places using HALF_UP rounding mode. |
+| **[second](/openmldb_sql/Files/udfs_8h.md#function-second)**()| <br>Return the second for a timestamp. |
+| **[sin](/openmldb_sql/Files/udfs_8h.md#function-sin)**()| <br>Return the sine of expr. |
+| **[size](/openmldb_sql/Files/udfs_8h.md#function-size)**()| <br>Get the size of a List (e.g., result of split) |
+| **[smallint](/openmldb_sql/Files/udfs_8h.md#function-smallint)**()| |
+| **[split](/openmldb_sql/Files/udfs_8h.md#function-split)**()| <br>Split string to list by delimeter. Null values are skipped. |
+| **[split_array](/openmldb_sql/Files/udfs_8h.md#function-split-array)**()| <br>Split string to array of string by delimeter. |
+| **[split_by_key](/openmldb_sql/Files/udfs_8h.md#function-split-by-key)**()| <br>Split string by delimeter and split each segment as kv pair, then add each key to output list. Null or illegal segments are skipped. |
+| **[split_by_value](/openmldb_sql/Files/udfs_8h.md#function-split-by-value)**()| <br>Split string by delimeter and split each segment as kv pair, then add each value to output list. Null or illegal segments are skipped. |
+| **[sqrt](/openmldb_sql/Files/udfs_8h.md#function-sqrt)**()| <br>Return square root of expr. |
+| **[std](/openmldb_sql/Files/udfs_8h.md#function-std)**()| |
+| **[stddev](/openmldb_sql/Files/udfs_8h.md#function-stddev)**()| <br>Compute sample standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) / (n-1) )`|
+| **[stddev_pop](/openmldb_sql/Files/udfs_8h.md#function-stddev-pop)**()| <br>Compute population standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) / n )`|
+| **[stddev_samp](/openmldb_sql/Files/udfs_8h.md#function-stddev-samp)**()| |
+| **[strcmp](/openmldb_sql/Files/udfs_8h.md#function-strcmp)**()| <br>Returns 0 if the strings are the same, -1 if the first argument is smaller than the second according to the current sort order, and 1 otherwise. |
+| **[string](/openmldb_sql/Files/udfs_8h.md#function-string)**()| <br>Return string converted from timestamp expression. |
+| **[substr](/openmldb_sql/Files/udfs_8h.md#function-substr)**()| |
+| **[substring](/openmldb_sql/Files/udfs_8h.md#function-substring)**()| <br>Return a substring `len` characters long from string str, starting at position `pos`. Alias function: `substr`|
+| **[sum](/openmldb_sql/Files/udfs_8h.md#function-sum)**()| <br>Compute sum of values. |
+| **[sum_cate](/openmldb_sql/Files/udfs_8h.md#function-sum-cate)**()| <br>Compute sum of values grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[sum_cate_where](/openmldb_sql/Files/udfs_8h.md#function-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key and output string. Each group is represented as 'K:V' and separated by comma in outputs and are sorted by key in ascend order. |
+| **[sum_where](/openmldb_sql/Files/udfs_8h.md#function-sum-where)**()| <br>Compute sum of values match specified condition. |
+| **[tan](/openmldb_sql/Files/udfs_8h.md#function-tan)**()| <br>Return the tangent of expr. |
+| **[timestamp](/openmldb_sql/Files/udfs_8h.md#function-timestamp)**()| <br>Cast int64, date or string expression to timestamp. |
+| **[top](/openmldb_sql/Files/udfs_8h.md#function-top)**()| <br>Compute top k of values and output string separated by comma. The outputs are sorted in desc order. |
+| **[top1_ratio](/openmldb_sql/Files/udfs_8h.md#function-top1-ratio)**()| <br>Compute the top1 occurring value's ratio. |
+| **[top_n_key_avg_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_key_count_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_key_max_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_key_min_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_key_ratio_cate](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-ratio-cate)**()| <br>Ratios (cond match cnt / total cnt) for groups. |
+| **[top_n_key_sum_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-key-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key. Output string for top N category keys in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_avg_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-avg-cate-where)**()| <br>Compute average of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_count_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-count-cate-where)**()| <br>Compute count of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_max_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-max-cate-where)**()| <br>Compute maximum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_min_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-min-cate-where)**()| <br>Compute minimum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[top_n_value_ratio_cate](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-ratio-cate)**()| <br>Ratios (cond match cnt / total cnt) for groups. |
+| **[top_n_value_sum_cate_where](/openmldb_sql/Files/udfs_8h.md#function-top-n-value-sum-cate-where)**()| <br>Compute sum of values matching specified condition grouped by category key. Output string for top N aggregate values in descend order. Each group is represented as 'K:V' and separated by comma(,). Empty string returned if no rows selected. |
+| **[topn_frequency](/openmldb_sql/Files/udfs_8h.md#function-topn-frequency)**()| <br>Return the topN keys sorted by their frequency. |
+| **[truncate](/openmldb_sql/Files/udfs_8h.md#function-truncate)**()| <br>Return the nearest integer that is not greater in magnitude than the expr. |
+| **[ucase](/openmldb_sql/Files/udfs_8h.md#function-ucase)**()| <br>Convert all the characters to uppercase. Note that characters values > 127 are simply returned. |
+| **[unhex](/openmldb_sql/Files/udfs_8h.md#function-unhex)**()| <br>Convert hexadecimal to binary string. |
+| **[unix_timestamp](/openmldb_sql/Files/udfs_8h.md#function-unix-timestamp)**()| <br>Cast date or string expression to unix_timestamp. If empty string or NULL is provided, return current timestamp. |
+| **[upper](/openmldb_sql/Files/udfs_8h.md#function-upper)**()| |
+| **[var_pop](/openmldb_sql/Files/udfs_8h.md#function-var-pop)**()| <br>Compute population variance of values, i.e., `sum((x_i - avg)^2) / n`|
+| **[var_samp](/openmldb_sql/Files/udfs_8h.md#function-var-samp)**()| <br>Compute population variance of values, i.e., `sum((x_i - avg)^2) / (n-1)`|
+| **[variance](/openmldb_sql/Files/udfs_8h.md#function-variance)**()| |
+| **[week](/openmldb_sql/Files/udfs_8h.md#function-week)**()| |
+| **[weekofyear](/openmldb_sql/Files/udfs_8h.md#function-weekofyear)**()| <br>Return the week of year for a timestamp or date. |
+| **[window_split](/openmldb_sql/Files/udfs_8h.md#function-window-split)**()| <br>For each string value from specified column of window, split by delimeter and add segment to output list. Null values are skipped. |
+| **[window_split_by_key](/openmldb_sql/Files/udfs_8h.md#function-window-split-by-key)**()| <br>For each string value from specified column of window, split by delimeter and then split each segment as kv pair, then add each key to output list. Null and illegal segments are skipped. |
+| **[window_split_by_value](/openmldb_sql/Files/udfs_8h.md#function-window-split-by-value)**()| <br>For each string value from specified column of window, split by delimeter and then split each segment as kv pair, then add each value to output list. Null and illegal segments are skipped. |
+| **[year](/openmldb_sql/Files/udfs_8h.md#function-year)**()| <br>Return the year part of a timestamp or date. |
 
 
 ## Functions Documentation
@@ -501,13 +501,13 @@ Compute average of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -541,13 +541,13 @@ Compute average of values grouped by category key and output string. Each group
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -586,13 +586,13 @@ Compute average of values matching specified condition grouped by category key a
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
 
 
 ```sql
@@ -634,13 +634,13 @@ Compute average of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -884,7 +884,7 @@ SELECT COS(0);
 
 
 
-* The value returned by [cos()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-cos) is always in the range: -1 to 1.
+* The value returned by [cos()](/openmldb_sql/Files/udfs_8h.md#function-cos) is always in the range: -1 to 1.
 
 
 **Supported Types**:
@@ -946,13 +946,13 @@ Compute number of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -987,13 +987,13 @@ Compute count of values grouped by category key and output string. Each group is
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -1032,13 +1032,13 @@ Compute count of values matching specified condition grouped by category key and
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
 
 
 ```sql
@@ -1080,13 +1080,13 @@ Compute number of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -1230,7 +1230,7 @@ Return the day of the month for a timestamp or date.
 0.1.0
 
 
-Note: This function equals the `[day()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-day)` function.
+Note: This function equals the `[day()](/openmldb_sql/Files/udfs_8h.md#function-day)` function.
 
 Example:
 
@@ -1264,7 +1264,7 @@ Return the day of week for a timestamp or date.
 0.4.0
 
 
-Note: This function equals the `[week()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-week)` function.
+Note: This function equals the `[week()](/openmldb_sql/Files/udfs_8h.md#function-week)` function.
 
 Example:
 
@@ -1374,13 +1374,13 @@ Compute number of distinct values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 0     |
-| 2     |
-| 2     |
-| 4    |
+| 0   |
+| 0   |
+| 2   |
+| 2   |
+| 4   |
 
 
 ```sql
@@ -1450,14 +1450,14 @@ It requires that all values are non-negative. Negative values will be ignored.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 8     |
-| 5     |
-| 2     |
-| 10     |
-| 4    |
+| 1   |
+| 8   |
+| 5   |
+| 2   |
+| 10   |
+| 4   |
 
 
 ```sql
@@ -1568,13 +1568,13 @@ It requires that values are ordered so that it can only be used with WINDOW (PAR
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -1652,11 +1652,11 @@ window w as (partition by gp order by ts rows between 3 preceding and current ro
 ```
 
 
-| id    | gp    | ts    | agg     |
+| id  | gp  | ts  | agg   |
 |  -------- | -------- | -------- | -------- |
-| 1    | 100    | 98    | 98     |
-| 2    | 100    | 99    | 99     |
-| 3    | 100    | 100    | 100    |
+| 1  | 100  | 98  | 98   |
+| 2  | 100  | 99  | 99   |
+| 3  | 100  | 100  | 100   |
 
 
 
@@ -2251,21 +2251,21 @@ Returns value evaluated at the row that is offset rows before the current row wi
   * **offset** The number of rows forwarded from the current row, must not negative
 
 
-Note: This function equals the `[at()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-at)` function.
+Note: This function equals the `[at()](/openmldb_sql/Files/udfs_8h.md#function-at)` function.
 
-The offset in window is `nth_value()`, not `[lag()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-lag)/at()`. The old `[at()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-at)`(version < 0.5.0) is start from the last row of window(may not be the current row), it's more like `nth_value()`
+The offset in window is `nth_value()`, not `[lag()](/openmldb_sql/Files/udfs_8h.md#function-lag)/at()`. The old `[at()](/openmldb_sql/Files/udfs_8h.md#function-at)`(version < 0.5.0) is start from the last row of window(may not be the current row), it's more like `nth_value()`
 
 
 Example:
 
 
-| c1    | c2     |
+| c1  | c2   |
 |  -------- | -------- |
-| 0    | 1     |
-| 1    | 1     |
-| 2    | 2     |
-| 3    | 2     |
-| 4    | 2    |
+| 0  | 1   |
+| 1  | 1   |
+| 2  | 2   |
+| 3  | 2   |
+| 4  | 2   |
 
 
 ```sql
@@ -2653,13 +2653,13 @@ Compute maximum of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -2696,13 +2696,13 @@ Compute maximum of values grouped by category key and output string. Each group
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -2741,13 +2741,13 @@ Compute maximum of values matching specified condition grouped by category key a
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
 
 
 ```sql
@@ -2789,13 +2789,13 @@ Compute maximum of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -2861,12 +2861,12 @@ Compute the median of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -2903,13 +2903,13 @@ Compute minimum of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -2946,13 +2946,13 @@ Compute minimum of values grouped by category key and output string. Each group
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -2991,14 +2991,14 @@ Compute minimum of values matching specified condition grouped by category key a
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 1    | true    | y     |
-| 4    | true    | x     |
-| 3    | true    | y    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 1  | true  | y   |
+| 4  | true  | x   |
+| 3  | true  | y   |
 
 
 ```sql
@@ -3040,13 +3040,13 @@ Compute minimum of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -3176,12 +3176,12 @@ select col1, cond, gp, nth_value_where(col1, 2, cond) over (partition by gp orde
 ```
 
 
-| col1    | cond    | gp    | agg     |
+| col1  | cond  | gp  | agg   |
 |  -------- | -------- | -------- | -------- |
-| 1    | true    | 100    | NULL     |
-| 2    | false    | 100    | NULL     |
-| 3    | NULL    | 100    | NULL     |
-| 4    | true    | 100    | 4    |
+| 1  | true  | 100  | NULL   |
+| 2  | false  | 100  | NULL   |
+| 3  | NULL  | 100  | NULL   |
+| 4  | true  | 100  | 4   |
 
 
 
@@ -3568,7 +3568,7 @@ SELECT SIN(0);
 
 
 
-* The value returned by [sin()](/openmldb_sql/functions_and_operators/Files/udfs_8h.md#function-sin) is always in the range: -1 to 1.
+* The value returned by [sin()](/openmldb_sql/Files/udfs_8h.md#function-sin) is always in the range: -1 to 1.
 
 
 **Supported Types**:
@@ -3810,12 +3810,12 @@ Alias function: `std`, `stddev_samp`
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -3852,12 +3852,12 @@ Compute population standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2)
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -4013,13 +4013,13 @@ Compute sum of values.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -4053,13 +4053,13 @@ Compute sum of values grouped by category key and output string. Each group is r
 Example:
 
 
-| value    | catagory     |
+| value  | catagory   |
 |  -------- | -------- |
-| 0    | x     |
-| 1    | y     |
-| 2    | x     |
-| 3    | y     |
-| 4    | x    |
+| 0  | x   |
+| 1  | y   |
+| 2  | x   |
+| 3  | y   |
+| 4  | x   |
 
 
 ```sql
@@ -4098,13 +4098,13 @@ Compute sum of values matching specified condition grouped by category key and o
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
 
 
 ```sql
@@ -4146,13 +4146,13 @@ Compute sum of values match specified condition.
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 1     |
-| 2     |
-| 3     |
-| 4    |
+| 0   |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
 
 
 ```sql
@@ -4262,13 +4262,13 @@ Compute top k of values and output string separated by comma. The outputs are so
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 1     |
-| 2     |
-| 3     |
-| 4     |
-| 4    |
+| 1   |
+| 2   |
+| 3   |
+| 4   |
+| 4   |
 
 
 ```sql
@@ -4319,11 +4319,11 @@ SELECT key, top1_ratio(key) over () as ratio FROM t1;
 ```
 
 
-| key    | ratio     |
+| key  | ratio   |
 |  -------- | -------- |
-| 1    | 1.0     |
-| 2    | 0.5     |
-| NULL    | 0.5    |
+| 1  | 1.0   |
+| 2  | 0.5   |
+| NULL  | 0.5   |
 
 
 
@@ -4360,15 +4360,15 @@ Compute average of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | false    | z    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | false  | z   |
 
 
 ```sql
@@ -4420,15 +4420,15 @@ Compute count of values matching specified condition grouped by category key. Ou
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | false    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | false  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4480,15 +4480,15 @@ Compute maximum of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | false    | z    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | false  | z   |
 
 
 ```sql
@@ -4540,15 +4540,15 @@ Compute minimum of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | false    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | false  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4602,15 +4602,15 @@ For each group, ratio value is `value` expr count matches condtion divide total
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 2    | true    | x     |
-| 4    | true    | x     |
-| 1    | true    | y     |
-| 3    | false    | y     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 2  | true  | x   |
+| 4  | true  | x   |
+| 1  | true  | y   |
+| 3  | false  | y   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4661,15 +4661,15 @@ Compute sum of values matching specified condition grouped by category key. Outp
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | false    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | false  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4721,15 +4721,15 @@ Compute average of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | false    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | false    | z    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | false  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | false  | z   |
 
 
 ```sql
@@ -4781,15 +4781,15 @@ Compute count of values matching specified condition grouped by category key. Ou
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | true    | x     |
-| 3    | false    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | true  | x   |
+| 3  | false  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4841,15 +4841,15 @@ Compute maximum of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | false    | y     |
-| 2    | false    | x     |
-| 3    | true    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | false    | z    |
+| 0  | true  | x   |
+| 1  | false  | y   |
+| 2  | false  | x   |
+| 3  | true  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | false  | z   |
 
 
 ```sql
@@ -4901,15 +4901,15 @@ Compute minimum of values matching specified condition grouped by category key.
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | true    | x     |
-| 3    | true    | y     |
-| 4    | false    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | true  | x   |
+| 3  | true  | y   |
+| 4  | false  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -4963,15 +4963,15 @@ For each group, ratio value is `value` expr count matches condtion divide total
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 2    | true    | x     |
-| 4    | true    | x     |
-| 1    | true    | y     |
-| 3    | false    | y     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 2  | true  | x   |
+| 4  | true  | x   |
+| 1  | true  | y   |
+| 3  | false  | y   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -5022,15 +5022,15 @@ Compute sum of values matching specified condition grouped by category key. Outp
 Example:
 
 
-| value    | condition    | catagory     |
+| value  | condition  | catagory   |
 |  -------- | -------- | -------- |
-| 0    | true    | x     |
-| 1    | true    | y     |
-| 2    | false    | x     |
-| 3    | false    | y     |
-| 4    | true    | x     |
-| 5    | true    | z     |
-| 6    | true    | z    |
+| 0  | true  | x   |
+| 1  | true  | y   |
+| 2  | false  | x   |
+| 3  | false  | y   |
+| 4  | true  | x   |
+| 5  | true  | z   |
+| 6  | true  | z   |
 
 
 ```sql
@@ -5245,11 +5245,11 @@ Compute population variance of values, i.e., `sum((x_i - avg)^2) / n`
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 3     |
-| 6    |
+| 0   |
+| 3   |
+| 6   |
 
 
 ```sql
@@ -5286,11 +5286,11 @@ Compute population variance of values, i.e., `sum((x_i - avg)^2) / (n-1)`
 Example:
 
 
-| value     |
+| value   |
 |  -------- |
-| 0     |
-| 3     |
-| 6    |
+| 0   |
+| 3   |
+| 6   |
 
 
 ```sql
diff --git a/docs/zh/quickstart/beginner_must_read.md b/docs/zh/quickstart/beginner_must_read.md
index def0e3728d1..117ad6fedb7 100644
--- a/docs/zh/quickstart/beginner_must_read.md
+++ b/docs/zh/quickstart/beginner_must_read.md
@@ -1,6 +1,6 @@
 # 上手必读
 
-由于OpenMLDB是分布式系统，多种模式，客户端丰富，初次使用可能会有很多疑问，或者遇到一些运行、使用问题，本文从新手使用的角度，讲解如何进行诊断调试，需求帮助时如何提供有效信息给技术人员等等。
+由于OpenMLDB是分布式系统，多种模式，客户端丰富，初次使用可能会有很多疑问，或者遇到一些运行、使用问题，本文从新手使用的角度，讲解如何进行诊断调试，需要帮助时如何提供有效信息给技术人员等等。
 
 ## 错误诊断
 
@@ -22,7 +22,7 @@ openmldb_tool inspect [-c=0.0.0.0:2181/openmldb]
 
 docker创建OpenMLDB见[快速上手](./openmldb_quickstart.md)，请注意文档中有两个版本，单机版和集群版。请清楚自己要创建哪个版本，不要混合使用。
 
-启动成功的标准是可以使用CLI连接上OpenMLDB服务端（即使用`/work/openmldb/bin/openmldb`连接OpenMLDB，单机或集群均可以通过CLI连接），并且执行`show components;`可以看到OpenMLDB服务端组件的运行情况。
+启动成功的标准是可以使用CLI连接上OpenMLDB服务端（即使用`/work/openmldb/bin/openmldb`连接OpenMLDB，单机或集群均可以通过CLI连接），并且执行`show components;`可以看到OpenMLDB服务端组件的运行情况。推荐使用[诊断工具](../maintain/diagnose.md)，执行status和inspect，可以得到更可靠的诊断结果。
 
 如果CLI无法连接OpenMLDB，请先确认进程是否运行正常，可以通过`ps f|grep bin/openmldb`确认nameserver和tabletserver进程，集群版还需要通过`ps f | grep zoo.cfg`来确认zk服务，`ps f | grep TaskManagerServer`来确认taskmanager进程。
 
@@ -32,6 +32,20 @@ docker创建OpenMLDB见[快速上手](./openmldb_quickstart.md)，请注意文
 如果我们还需要OpenMLDB服务端的配置和日志，可以使用诊断工具获取，见[下文](#提供配置与日志获得技术支持)。
 ```
 
+### 运维
+
+集群各组件进程启动后，在使用过程中可能遇到各种变化，比如服务进程意外退出，需要重启服务进程，或者需要扩容服务进程。
+
+如果你需要保留已有的在线表，**不要主动地kill全部Tablet再重启**，保证Tablet只有单台在上下线。`stop-all.sh`和`start-all.sh`脚本是给快速重建集群用的，可能会导致在线表数据恢复失败，**不保证能修复**。
+
+当你发现进程变化或者主动操作其变化后，需要使用诊断工具进行诊断，确认集群状态是否正常：
+```bash
+openmldb_tool inspect # 主要命令
+openmldb_tool status --diff hosts # 可检查TaskManager等是否掉线，当然，你也可以手动判断
+```
+
+如果诊断出server offline，或是TaskManager等掉线，需要先启动回来。如果启动失败，请查看对应日志，提供错误信息。如果诊断结果提示需要recoverdata，请参考[OpenMLDB运维工具](../maintain/openmldb_ops.md)执行recoverdata。如果recoverdata脚本提示recover失败，或recover成功后再次inpsect的结果仍然不正常，请提供日志给我们。
+
 ## 源数据
 
 ### LOAD DATA
@@ -56,15 +70,51 @@ docker创建OpenMLDB见[快速上手](./openmldb_quickstart.md)，请注意文
 csv文件格式有诸多不便，更推荐使用parquet格式，需要OpenMLDB集群版并启动taskmanager组件。
 ```
 
-## SQL限制
+## OpenMLDB SQL 开发和调试
 
 OpenMLDB并不完全兼容标准SQL。所以，部分SQL执行会得不到预期结果。如果发现SQL执行不符合预期，请先查看下SQL是否满足[功能边界](./function_boundary.md)。
 
-## SQL执行
+为了方便使用 OpenMLDB SQL 进行开发、调试、验证，我们强烈推荐使用社区工具 [OpenMLDB SQL Emulator](https://github.com/vagetablechicken/OpenMLDBSQLEmulator) 来进行 SQL 模拟开发，可以节省大量的部署、编译、索引构建、任务运行等待时间，详见该项目 README https://github.com/vagetablechicken/OpenMLDBSQLEmulator
+
+### OpenMLDB SQL语法指南
+
+基于 OpenMLDB SQL 的特征计算，一般比较常使用`WINDOW`（包括`WINDOW UNION`），`LAST JOIN` 等子句来完成计算逻辑，它们能保证在任何模式下使用。可以跟随教程"基于 SQL 的特征开发"[(上)](../tutorial/tutorial_sql_1.md)[(下)](../tutorial/tutorial_sql_2.md)进行学习。
+
+如果使用`WHERE`，`WITH`，`HAVING`等子句，需要注意限制条件。在每个子句的详细文档中都有具体的说明，比如[`HAVING`子句](../openmldb_sql/dql/HAVING_CLAUSE.md)在在线请求模式中不支持。翻阅OpenMLDB SQL的DQL目录，或使用搜索功能，可以快速找到子句的详细文档。
+
+在不熟悉OpenMLDB SQL的情况下，我们建议从子句开始编写SQL，确保每个子句都能通过，再逐步组合成完整的SQL。
+
+推荐使用[OpenMLDB SQL Emulator](https://github.com/vagetablechicken/OpenMLDBSQLEmulator)进行SQL探索和验证，SQL验证完成后再去真实集群进行上线，可以避免浪费大量时间在索引构建、数据导入、任务等待等过程上。 Emulator 可以不依赖真实OpenMLDB集群，在一个交互式虚拟环境中，快速创建表、校验SQL、导出当前环境等等，详情参考该项目的 README 。使用 Emulator 不需要操作集群，也就不需要测试后清理集群，还可通过少量的数据进行SQL运行测试，比较适合SQL探索时期。
+
+### OpenMLDB SQL 语法错误提示
+
+当发现SQL编译报错时，需要查看错误信息。例如`Syntax error: Expected XXX but got keyword YYY`错误，它说明SQL不符合语法，通常是某些关键字写错了位置，或并没有这种写法。详情需要查询错误的子句文档，可注意子句的`Syntax`章节，它详细说明了每个部分的组成，请检查SQL是否符合要求。
+
+比如，[`WINDOW`子句](../openmldb_sql/dql/WINDOW_CLAUSE.md#syntax)中`WindowFrameClause (WindowAttribute)*`部分，我们再拆解它就是`WindowFrameUnits WindowFrameBounds [WindowFrameMaxSize] (WindowAttribute)*`。那么，`WindowFrameUnits WindowFrameBounds MAXSIZE 10 EXCLUDE CURRENT_TIME`就是符合语法的，`WindowFrameUnits WindowFrameBounds EXCLUDE CURRENT_TIME MAXSIZE 10`就是不符合语法的，不能把`WindowFrameMaxSize`放到`WindowFrameClause`外面。
 
-OpenMLDB所有命令均为SQL，如果SQL执行失败或交互有问题（不知道命令是否执行成功），请先确认SQL书写是否有误，命令并未执行，还是命令进入了执行阶段。
+### OpenMLDB SQL 计算正确性调试
 
-例如，下面提示Syntax error的是SQL书写有误，请参考[sql reference](../../openmldb_sql/)纠正错误。
+SQL编译通过以后，可以基于数据进行计算。如果计算结果不符合预期，请逐步检查：
+- SQL无论是一列还是多列计算结果不符合预期，建议都请选择**其中一列**进行调试。
+- 如果你的表数据较多，建议使用小数据量（几行，几十行的量级）来测试，也可以使用OpenMLDB SQL Emulator的[运行toydb](https://github.com/vagetablechicken/OpenMLDBSQLEmulator#run-in-toydb)功能，构造case进行测试。
+- 该列是不是表示了自己想表达的意思，是否使用了不符合预期的函数，或者函数参数错误。
+- 该列如果是窗口聚合的结果，是不是WINDOW定义错误，导致窗口范围不对。参考[推断窗口](../openmldb_sql/dql/WINDOW_CLAUSE.md#如何推断窗口是什么样的)进行检查，使用小数据进行验证测试。
+
+如果你仍然无法解决问题，可以提供 OpenMLDB SQL Emulator 的 yaml case 。如果在集群中进行的测试，请[提供复现脚本](#提供复现脚本)。
+
+### 在线请求模式测试
+
+SQL上线，等价于`DEPLOY <name> <SQL>`成功。但`DEPLOY`操作是一个很“重”的操作，SQL如果可以上线，将会创建或修改索引并复制数据到新索引。所以，在SQL探索期使用`DEPLOY`测试SQL是否能上线，是比较浪费资源的，尤其是某些SQL可能需要多次修改才能上线，多次的`DEPLOY`可能产生很多无用的索引。在探索期间，可能还会修改表Schema，又需要删除和再创建。这些操作都是只能手动处理，比较繁琐。
+
+如果你对OpenMLDB SQL较熟悉，一些场景下可以用“在线预览模式”进行测试，但“在线预览模式”不等于“在线请求模式”，不能保证一定可以上线。如果你对索引较为熟悉，可以通过`EXPLAIN <SQL>`来确认SQL是否可以上线，但`EXPLAIN`的检查较为严格，可能因为当前表没有匹配的索引，而判定SQL无法在“在线请求模式”中执行（因为无索引而无法保证实时性能，所以被拒绝）。
+
+目前只有Java SDK可以使用[validateSQLInRequest](./sdk/java_sdk.md#sql-校验)方法来检验，使用上稍麻烦。我们推荐使用 OpenMLDB SQL Emulator 来测试。在 Emulator 中，通过简单语法创建表，再使用`valreq <SQL>`可以判断是否能上线。
+
+## OpenMLDB SQL 执行
+
+OpenMLDB 所有命令均为 SQL，如果 SQL 执行失败或交互有问题（不知道命令是否执行成功），请先确认 SQL 书写是否有误，命令并未执行，还是命令进入了执行阶段。
+
+例如，下面提示Syntax error的是SQL书写有误，请参考[SQL编写指南](#sql编写指南)纠正错误。
 ```
 127.0.0.1:7527/db> create table t1(c1 int;
 Error: Syntax error: Expected ")" or "," but got ";" [at 1:23]
@@ -79,9 +129,7 @@ create table t1(c1 int;
 
 我们需要特别注意集群版的一些使用逻辑。
 
-### 集群版SQL执行
-
-#### 离线
+### 集群版离线 SQL 执行注意事项
 
 如果是集群离线命令，默认异步模式下，发送命令会得到job id的返回。可使用`show job <id>`来查询job执行情况。
 
@@ -95,13 +143,13 @@ create table t1(c1 int;
 如果你无法通过show joblog获得日志，或者想要直接拿到日志文件，可以直接在TaskManager机器上获取。日志地址由taskmanager.properties的`job.log.path`配置，如果你改变了此配置项，需要到配置的目录中寻找日志。stdout查询结果默认在`/work/openmldb/taskmanager/bin/logs/job_x.log`，stderr job运行日志默认在`/work/openmldb/taskmanager/bin/logs/job_x_error.log`(注意有error后缀)。
 ```
 
-#### 在线
+### 集群版在线 SQL 执行注意事项
 
-集群版在线模式下，我们通常只推荐使用`DEPLOY`创建deployment，HTTP访问APIServer执行deployment做实时特征计算。在CLI或其他客户端中，直接在在线中进行SELECT查询，称为“在线预览”。在线预览有诸多限制，详情请参考[功能边界-集群版在线预览模式](../function_boundary.md#集群版在线预览模式)，请不要执行不支持的SQL。
+集群版在线模式下，我们通常只推荐两种使用，`DEPLOY`创建deployment，执行deployment做实时特征计算（SDK请求deployment，或HTTP访问APIServer请求deployment）。在CLI或其他客户端中，可以直接在“在线”中进行SELECT查询，称为“在线预览”。在线预览有诸多限制，详情请参考[功能边界-集群版在线预览模式](./function_boundary.md#集群版在线预览模式)，请不要执行不支持的SQL。
 
-### 提供复现脚本
+### 构造 OpenMLDB SQL 复现脚本
 
-如果你通过自主诊断，无法解决问题，请向我们提供复现脚本。一个完整的复现脚本，如下所示：
+如果你的 SQL 执行不符合预期，通过自主诊断，无法解决问题，请向我们提供复现脚本。一个完整的复现脚本。仅涉及在线SQL计算或校验SQL，推荐使用[OpenMLDB SQL Emulator](https://github.com/vagetablechicken/OpenMLDBSQLEmulator#run-in-toydb) 构造可复现的 yaml case。如果涉及到数据导入等必须使用 OpenMLDB集群，请提供可复现脚本，其结构如下所示：
 
 ```
 create database db;
@@ -134,7 +182,7 @@ set @@execute_mode='';
 请注意离线job默认为异步。如果你需要离线导入再查询，请设置为同步模式，详情见[离线命令配置详情](../openmldb_sql/ddl/SET_STATEMENT.md#离线命令配置详情)。否则导入还未完成就进行查询，是无意义的。
 ```
 
-## 提供配置与日志，获得技术支持
+### 提供配置与日志，获得技术支持
 
 如果你的SQL执行问题无法通过复现脚本复现，或者并非SQL执行问题而是集群管理问题，那么请提供客户端和服务端的配置与日志，以便我们调查。
 
@@ -151,3 +199,11 @@ openmldb_tool --env=onebox --dist_conf=standalone_dist.yml
 如果是分布式的集群，需要配置ssh免密才能顺利使用诊断工具，参考文档[诊断工具](../maintain/diagnose.md)。
 
 如果你的环境无法做到，请手动获取配置与日志。
+
+## 性能统计
+
+deployment耗时统计需要开启：
+```
+SET GLOBAL deploy_stats = 'on';
+```
+开启后的Deployment执行都将被统计，之前的不会被统计，表中的数据不包含集群外部的网络耗时，仅统计deployment在server端从开始执行到结束的时间。
diff --git a/docs/zh/tutorial/index.rst b/docs/zh/tutorial/index.rst
index cce68996ded..7406fda41a9 100644
--- a/docs/zh/tutorial/index.rst
+++ b/docs/zh/tutorial/index.rst
@@ -9,7 +9,6 @@
     data_import_guide
     tutorial_sql_1
     tutorial_sql_2
-    modes
     openmldbspark_distribution
     data_import
     data_export
diff --git a/hybridse/tools/documentation/udf_doxygen/Makefile b/hybridse/tools/documentation/udf_doxygen/Makefile
index b58a1c70aeb..d3e8a344ba2 100644
--- a/hybridse/tools/documentation/udf_doxygen/Makefile
+++ b/hybridse/tools/documentation/udf_doxygen/Makefile
@@ -27,8 +27,8 @@ doxygen2md: doxygen
 
 sync: doxygen2md
 	@if [ -n "$(SYNC_DIR)" ]; then \
-	    cp -v "$(UDF_GEN_DIR)/Files/udfs_8h.md" "$(SYNC_DIR)/docs/en/reference/sql/functions_and_operators/Files/udfs_8h.md"; \
-	    cp -v "$(UDF_GEN_DIR)/Files/udfs_8h.md" "$(SYNC_DIR)/docs/zh/openmldb_sql/functions_and_operators/Files/udfs_8h.md"; \
+	    cp -v "$(UDF_GEN_DIR)/Files/udfs_8h.md" "$(SYNC_DIR)/docs/en/reference/sql/udfs_8h.md"; \
+	    cp -v "$(UDF_GEN_DIR)/Files/udfs_8h.md" "$(SYNC_DIR)/docs/zh/openmldb_sql/udfs_8h.md"; \
 	else \
 	    echo "SKIP SYNC: DEFAULT Sync DIR not found"; \
 	fi
diff --git a/hybridse/tools/documentation/udf_doxygen/README.md b/hybridse/tools/documentation/udf_doxygen/README.md
index b911d067d84..33a74c5c84d 100644
--- a/hybridse/tools/documentation/udf_doxygen/README.md
+++ b/hybridse/tools/documentation/udf_doxygen/README.md
@@ -67,7 +67,7 @@ will output `udf_doxygen/udfgen`.
 ### 3. Put the document into proper position
 
 ```bash
-cp udfgen/Files/udfs_8h.md ${project_root}/docs/zh/openmldb_sql/functions_and_operators/Files/udfs_8h.md
+cp udfgen/Files/udfs_8h.md ${project_root}/docs/zh/openmldb_sql/udfs_8h.md
 ```
 
 You may checkout changes manully and discard anything unnecessary like header.
diff --git a/hybridse/tools/documentation/udf_doxygen/config.json b/hybridse/tools/documentation/udf_doxygen/config.json
index 20d5297ab19..11e2451d1cf 100644
--- a/hybridse/tools/documentation/udf_doxygen/config.json
+++ b/hybridse/tools/documentation/udf_doxygen/config.json
@@ -1,5 +1,5 @@
 {
-  "baseUrl": "/openmldb_sql/functions_and_operators/",
+  "baseUrl": "/openmldb_sql/",
   "indexInFolders": true,
   "linkSuffix": ".md",
   "linkLowercase": false,

From 9e03d532cf94d828167ae2e1d63c454f52c35d03 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Fri, 10 Nov 2023 16:46:54 +0800
Subject: [PATCH 17/27] feat: update the default mode of deploy tool (#3512)

---
 release/conf/openmldb-env.sh                        | 2 +-
 test/test-tool/openmldb-deploy/install.sh           | 1 -
 test/test-tool/openmldb-deploy/install_with_name.sh | 1 -
 3 files changed, 1 insertion(+), 3 deletions(-)

diff --git a/release/conf/openmldb-env.sh b/release/conf/openmldb-env.sh
index c86d84aebd1..4190c24a7b1 100644
--- a/release/conf/openmldb-env.sh
+++ b/release/conf/openmldb-env.sh
@@ -1,7 +1,7 @@
 #! /usr/bin/env bash
 export OPENMLDB_VERSION=0.8.3
 # openmldb mode: standalone / cluster
-export OPENMLDB_MODE=${OPENMLDB_MODE:=standalone}
+export OPENMLDB_MODE=${OPENMLDB_MODE:=cluster}
 # tablet port
 export OPENMLDB_TABLET_PORT=10921
 # nameserver port
diff --git a/test/test-tool/openmldb-deploy/install.sh b/test/test-tool/openmldb-deploy/install.sh
index e0238b2d530..a75cc21fec1 100644
--- a/test/test-tool/openmldb-deploy/install.sh
+++ b/test/test-tool/openmldb-deploy/install.sh
@@ -32,7 +32,6 @@ cp -f ../release/bin/*.sh bin/
 
 mv ../hosts conf/hosts
 sed -i"" -e "s/OPENMLDB_VERSION=[0-9]\.[0-9]\.[0-9]/OPENMLDB_VERSION=${VERSION}/g" conf/openmldb-env.sh
-sed -i"" -e "s/OPENMLDB_MODE:=standalone/OPENMLDB_MODE:=cluster/g" conf/openmldb-env.sh
 sed -i"" -e "s/CLEAR_OPENMLDB_INSTALL_DIR=false/CLEAR_OPENMLDB_INSTALL_DIR=true/g" conf/openmldb-env.sh
 sh sbin/stop-all.sh
 sh sbin/clear-all.sh
diff --git a/test/test-tool/openmldb-deploy/install_with_name.sh b/test/test-tool/openmldb-deploy/install_with_name.sh
index 6ce1851f103..a1525767a36 100644
--- a/test/test-tool/openmldb-deploy/install_with_name.sh
+++ b/test/test-tool/openmldb-deploy/install_with_name.sh
@@ -32,7 +32,6 @@ rm -f bin/*.sh
 
 /bin/cp -f ../test/test-tool/openmldb-deploy/hosts conf/hosts
 sed -i"" -e "s/OPENMLDB_VERSION=[0-9]\.[0-9]\.[0-9]/OPENMLDB_VERSION=${VERSION}/g" conf/openmldb-env.sh
-sed -i"" -e "s/OPENMLDB_MODE:=standalone/OPENMLDB_MODE:=cluster/g" conf/openmldb-env.sh
 sh sbin/deploy-all.sh
 
 for (( i=0; i<=2; i++ ))

From 354bcda11ceeb2910d920c8d6c2c60a526958372 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Tue, 14 Nov 2023 11:17:02 +0800
Subject: [PATCH 18/27] fix: fix deploy (#3503)

---
 src/client/ns_client.cc       | 12 ++++++++++--
 src/client/ns_client.h        |  3 +++
 src/sdk/sql_cluster_router.cc |  4 ++--
 src/sdk/sql_cluster_test.cc   | 34 ++++++++++++++++++++++++++++++++++
 4 files changed, 49 insertions(+), 4 deletions(-)

diff --git a/src/client/ns_client.cc b/src/client/ns_client.cc
index eb37aa2719f..1475d634bd0 100644
--- a/src/client/ns_client.cc
+++ b/src/client/ns_client.cc
@@ -612,10 +612,19 @@ bool NsClient::UpdateTableAliveStatus(const std::string& endpoint, std::string&
 
 bool NsClient::UpdateTTL(const std::string& name, const ::openmldb::type::TTLType& type, uint64_t abs_ttl,
                          uint64_t lat_ttl, const std::string& index_name, std::string& msg) {
+    return UpdateTTL(GetDb(), name, type, abs_ttl, lat_ttl, index_name, msg);
+}
+
+bool NsClient::UpdateTTL(const std::string& db, const std::string& name, const ::openmldb::type::TTLType& type,
+        uint64_t abs_ttl, uint64_t lat_ttl, const std::string& index_name, std::string& msg) {
     ::openmldb::nameserver::UpdateTTLRequest request;
     ::openmldb::nameserver::UpdateTTLResponse response;
     request.set_name(name);
-    request.set_db(GetDb());
+    if (db.empty()) {
+        request.set_db(GetDb());
+    } else {
+        request.set_db(db);
+    }
     ::openmldb::common::TTLSt* ttl_desc = request.mutable_ttl_desc();
     ttl_desc->set_ttl_type(type);
     ttl_desc->set_abs_ttl(abs_ttl);
@@ -623,7 +632,6 @@ bool NsClient::UpdateTTL(const std::string& name, const ::openmldb::type::TTLTyp
     if (!index_name.empty()) {
         request.set_index_name(index_name);
     }
-    request.set_db(GetDb());
     bool ok = client_.SendRequest(&::openmldb::nameserver::NameServer_Stub::UpdateTTL, &request, &response,
                                   FLAGS_request_timeout_ms, 1);
     msg = response.msg();
diff --git a/src/client/ns_client.h b/src/client/ns_client.h
index f069ccce2d3..503885dce48 100644
--- a/src/client/ns_client.h
+++ b/src/client/ns_client.h
@@ -193,6 +193,9 @@ class NsClient : public Client {
     bool UpdateTTL(const std::string& name, const ::openmldb::type::TTLType& type, uint64_t abs_ttl, uint64_t lat_ttl,
                    const std::string& ts_name, std::string& msg);  // NOLINT
 
+    bool UpdateTTL(const std::string& db, const std::string& name, const ::openmldb::type::TTLType& type,
+            uint64_t abs_ttl, uint64_t lat_ttl, const std::string& ts_name, std::string& msg);  // NOLINT
+
     bool AddReplicaClusterByNs(const std::string& alias, const std::string& name, uint64_t term,
                                std::string& msg);  // NOLINT
 
diff --git a/src/sdk/sql_cluster_router.cc b/src/sdk/sql_cluster_router.cc
index 90054f277aa..707338a6a6c 100644
--- a/src/sdk/sql_cluster_router.cc
+++ b/src/sdk/sql_cluster_router.cc
@@ -3798,8 +3798,8 @@ hybridse::sdk::Status SQLClusterRouter::GetNewIndex(const TableInfoMap& table_ma
                         // update ttl
                         auto ns_ptr = cluster_sdk_->GetNsClient();
                         std::string err;
-                        if (!ns_ptr->UpdateTTL(table_name, result.ttl_type(), result.abs_ttl(), result.lat_ttl(),
-                                               old_column_key.index_name(), err)) {
+                        if (!ns_ptr->UpdateTTL(db_name, table_name, result.ttl_type(),
+                                    result.abs_ttl(), result.lat_ttl(), old_column_key.index_name(), err)) {
                             return {StatusCode::kCmdError, "update ttl failed"};
                         }
                     }
diff --git a/src/sdk/sql_cluster_test.cc b/src/sdk/sql_cluster_test.cc
index 70b6f7a20f2..8ad9dd2e128 100644
--- a/src/sdk/sql_cluster_test.cc
+++ b/src/sdk/sql_cluster_test.cc
@@ -646,6 +646,40 @@ TEST_F(SQLSDKQueryTest, GetTabletClient) {
     ASSERT_TRUE(router->DropDB(db, &status));
 }
 
+TEST_F(SQLClusterTest, DeployWithMultiDB) {
+    SQLRouterOptions sql_opt;
+    sql_opt.zk_cluster = mc_->GetZkCluster();
+    sql_opt.zk_path = mc_->GetZkPath();
+    auto router = NewClusterSQLRouter(sql_opt);
+    SetOnlineMode(router);
+    ASSERT_TRUE(router != nullptr);
+    std::string base_table = "test" + GenRand();
+    std::string db1 = "db1";
+    std::string db2 = "db2";
+    ::hybridse::sdk::Status status;
+    ASSERT_TRUE(router->ExecuteDDL(db1, "drop table if exists db1.t1;", &status));
+    ASSERT_TRUE(router->ExecuteDDL(db2, "drop table if exists db2.t1;", &status));
+    ASSERT_TRUE(router->ExecuteDDL(db1, "drop database if exists db1;", &status));
+    ASSERT_TRUE(router->ExecuteDDL(db2, "drop database if exists db2;", &status));
+    ASSERT_TRUE(router->CreateDB(db1, &status));
+    ASSERT_TRUE(router->CreateDB(db2, &status));
+    std::string sql1 = "create table db1.t1 (c1 string, c2 int, c3 bigint, c4 timestamp, index(key=c1, ts=c4));";
+    std::string sql2 = "create table db2.t1 (c1 string, c2 int, c3 bigint, c4 timestamp, index(key=c1, ts=c3));";
+    ASSERT_TRUE(router->ExecuteDDL(db1, sql1, &status));
+    ASSERT_TRUE(router->ExecuteDDL(db2, sql2, &status));
+    ASSERT_TRUE(router->ExecuteDDL(db1, "use " + db1 + ";", &status));
+    std::string sql = "deploy demo select db1.t1.c1,db1.t1.c2,db2.t1.c3,db2.t1.c4 from db1.t1 "
+        "last join db2.t1 ORDER BY db2.t1.c3 on db1.t1.c1=db2.t1.c1;";
+    ASSERT_TRUE(router->RefreshCatalog());
+    router->ExecuteSQL(sql, &status);
+    ASSERT_TRUE(status.IsOK());
+    ASSERT_TRUE(router->ExecuteDDL(db1, "drop deployment demo;", &status));
+    ASSERT_TRUE(router->ExecuteDDL(db1, "drop table t1;", &status));
+    ASSERT_TRUE(router->ExecuteDDL(db2, "drop table t1;", &status));
+    ASSERT_TRUE(router->DropDB(db1, &status));
+    ASSERT_TRUE(router->DropDB(db2, &status));
+}
+
 TEST_F(SQLClusterTest, CreatePreAggrTable) {
     SQLRouterOptions sql_opt;
     sql_opt.zk_cluster = mc_->GetZkCluster();

From 9401a5eddbae4689107f63bb9fbf9ae24c2675b1 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Tue, 14 Nov 2023 15:25:47 +0800
Subject: [PATCH 19/27] feat: support delete(aggregator) (#3327)

---
 src/storage/aggregator.cc      | 309 ++++++++++++++++------
 src/storage/aggregator.h       |  74 +++---
 src/storage/aggregator_test.cc |  47 ++--
 src/storage/disk_table.cc      |  26 +-
 src/storage/disk_table.h       |   3 +
 src/storage/mem_table.cc       |  66 +++--
 src/storage/mem_table.h        |   2 +
 src/storage/table.h            |   3 +
 src/tablet/combine_iterator.h  |  10 +-
 src/tablet/tablet_impl.cc      | 124 ++++++---
 src/tablet/tablet_impl_test.cc | 461 +++++++++++++++++++++++++--------
 11 files changed, 797 insertions(+), 328 deletions(-)

diff --git a/src/storage/aggregator.cc b/src/storage/aggregator.cc
index c57ff5103cb..7814c687be5 100644
--- a/src/storage/aggregator.cc
+++ b/src/storage/aggregator.cc
@@ -54,11 +54,13 @@ std::string AggrStatToString(AggrStat type) {
     return output;
 }
 
-Aggregator::Aggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                       std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                       const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                       const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
+Aggregator::Aggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+        const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+        std::shared_ptr<LogReplicator> aggr_replicator,
+        uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+        const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
     : base_table_schema_(base_meta.column_desc()),
+      base_table_(base_table),
       aggr_table_schema_(aggr_meta.column_desc()),
       aggr_table_(aggr_table),
       aggr_replicator_(aggr_replicator),
@@ -104,19 +106,11 @@ bool Aggregator::Update(const std::string& key, const std::string& row, uint64_t
     }
     auto row_ptr = reinterpret_cast<const int8_t*>(row.c_str());
     int64_t cur_ts = 0;
-    switch (ts_col_type_) {
-        case DataType::kBigInt: {
-            base_row_view_.GetValue(row_ptr, ts_col_idx_, DataType::kBigInt, &cur_ts);
-            break;
-        }
-        case DataType::kTimestamp: {
-            base_row_view_.GetValue(row_ptr, ts_col_idx_, DataType::kTimestamp, &cur_ts);
-            break;
-        }
-        default: {
-            PDLOG(ERROR, "Unsupported timestamp data type");
-            return false;
-        }
+    if  (ts_col_type_ == DataType::kBigInt || ts_col_type_ == DataType::kTimestamp) {
+        base_row_view_.GetValue(row_ptr, ts_col_idx_, ts_col_type_, &cur_ts);
+    } else {
+        PDLOG(ERROR, "Unsupported timestamp data type");
+        return false;
     }
     std::string filter_key = "";
     if (filter_col_idx_ != -1) {
@@ -213,8 +207,9 @@ bool Aggregator::Update(const std::string& key, const std::string& row, uint64_t
     return true;
 }
 
-bool Aggregator::Delete(const std::string& key) {
-    {
+bool Aggregator::DeleteData(const std::string& key, const std::optional<uint64_t>& start_ts,
+        const std::optional<uint64_t>& end_ts) {
+    if (!start_ts.has_value() && !end_ts.has_value()) {
         std::lock_guard<std::mutex> lock(mu_);
         // erase from the aggr_buffer_map_
         aggr_buffer_map_.erase(key);
@@ -225,23 +220,181 @@ bool Aggregator::Delete(const std::string& key) {
     auto dimension = entry.add_dimensions();
     dimension->set_key(key);
     dimension->set_idx(aggr_index_pos_);
-
+    if (start_ts.has_value()) {
+        entry.set_ts(start_ts.value());
+    }
+    if (end_ts.has_value()) {
+        entry.set_end_ts(end_ts.value());
+    }
     // delete the entries from the pre-aggr table
-    bool ok = aggr_table_->Delete(entry);
-    if (!ok) {
-        PDLOG(ERROR, "Delete key %s from aggr table %s failed", key, aggr_table_->GetName());
+    if (!aggr_table_->Delete(entry)) {
+        PDLOG(ERROR, "Delete key %s from aggr table %s failed", key.c_str(), aggr_table_->GetName().c_str());
         return false;
     }
-
-    ok = aggr_replicator_->AppendEntry(entry);
-    if (!ok) {
-        PDLOG(ERROR, "Add Delete entry to binlog failed: key %s, aggr table %s", key, aggr_table_->GetName());
+    if (!aggr_replicator_->AppendEntry(entry)) {
+        PDLOG(ERROR, "Add Delete entry to binlog failed: key %s, aggr table %s",
+                key.c_str(), aggr_table_->GetName().c_str());
         return false;
     }
     if (FLAGS_binlog_notify_on_put) {
         aggr_replicator_->Notify();
     }
+    return true;
+}
 
+bool Aggregator::Delete(const std::string& key, const std::optional<uint64_t>& start_ts,
+        const std::optional<uint64_t>& end_ts) {
+    if (!start_ts.has_value() && !end_ts.has_value()) {
+        return DeleteData(key, start_ts, end_ts);
+    }
+    uint64_t real_start_ts = start_ts.has_value() ? start_ts.value() : UINT64_MAX;
+    std::vector<AggrBufferLocked*> aggr_buffer_lock_vec;
+    {
+        std::lock_guard<std::mutex> lock(mu_);
+        if (auto it = aggr_buffer_map_.find(key); it != aggr_buffer_map_.end()) {
+            for (auto& kv : it->second) {
+                auto& buffer = kv.second.buffer_;
+                if (buffer.IsInited() && real_start_ts >= static_cast<uint64_t>(buffer.ts_begin_) &&
+                        (!end_ts.has_value() || end_ts.value() < static_cast<uint64_t>(buffer.ts_end_))) {
+                    aggr_buffer_lock_vec.push_back(&kv.second);
+                }
+            }
+        }
+    }
+    for (auto agg_buffer_lock : aggr_buffer_lock_vec) {
+        RebuildAggrBuffer(key, &agg_buffer_lock->buffer_);
+    }
+    ::openmldb::storage::Ticket ticket;
+    std::unique_ptr<storage::TableIterator> it(aggr_table_->NewIterator(0, key, ticket));
+    if (it == nullptr) {
+        return false;
+    }
+    if (window_type_ == WindowType::kRowsRange && UINT64_MAX - window_size_ > real_start_ts) {
+        it->Seek(real_start_ts + window_size_);
+    } else {
+        it->SeekToFirst();
+    }
+    std::optional<uint64_t> delete_start_ts = std::nullopt;
+    std::optional<uint64_t> delete_end_ts = std::nullopt;
+    bool is_first_block = true;
+    while (it->Valid()) {
+        uint64_t buffer_start_ts = it->GetKey();
+        uint64_t buffer_end_ts = 0;
+        auto aggr_row_ptr =  reinterpret_cast<const int8_t*>(it->GetValue().data());
+        aggr_row_view_.GetValue(aggr_row_ptr, 2, DataType::kTimestamp, &buffer_end_ts);
+        if (is_first_block) {
+            is_first_block = false;
+            if (!end_ts.has_value() || end_ts.value() < buffer_end_ts) {
+                real_start_ts = std::min(buffer_end_ts, real_start_ts);
+            }
+        }
+        if (real_start_ts <= buffer_end_ts) {
+            if (end_ts.has_value()) {
+                delete_end_ts = buffer_start_ts;
+            }
+            if (real_start_ts >= buffer_start_ts) {
+                RebuildFlushedAggrBuffer(key, aggr_row_ptr);
+                // start delete from next block
+                delete_start_ts = buffer_start_ts > 0 ? buffer_start_ts - 1 : 0;
+                if (end_ts.has_value()) {
+                    if (end_ts.value() >= buffer_start_ts) {
+                        // range data in one aggregate buffer
+                        return true;
+                    }
+                } else {
+                    break;
+                }
+                it->Next();
+                continue;
+            }
+        }
+        if (end_ts.has_value()) {
+            if (end_ts.value() >= buffer_end_ts) {
+                break;
+            } else {
+                delete_end_ts = buffer_start_ts > 0 ? buffer_start_ts - 1 : 0;
+                if (end_ts.value() >= buffer_start_ts) {
+                    // end delete with last block
+                    delete_end_ts = buffer_end_ts;
+                    if (delete_start_ts.has_value() && delete_start_ts.value() <= buffer_end_ts) {
+                        // two adjacent blocks, no delete
+                        delete_start_ts.reset();
+                        delete_end_ts.reset();
+                    }
+                    RebuildFlushedAggrBuffer(key, aggr_row_ptr);
+                    break;
+                }
+            }
+        }
+        it->Next();
+    }
+    if (delete_start_ts.has_value() || delete_end_ts.has_value()) {
+        if (delete_start_ts.has_value() && delete_end_ts.has_value() &&
+                delete_start_ts.value() <= delete_end_ts.value()) {
+            return true;
+        }
+        return DeleteData(key, delete_start_ts, delete_end_ts);
+    }
+    return true;
+}
+
+bool Aggregator::RebuildFlushedAggrBuffer(const std::string& key, const int8_t* row_ptr) {
+    DLOG(INFO) << "RebuildFlushedAggrBuffer. key is " << key;
+    AggrBuffer buffer;
+    if (!GetAggrBufferFromRowView(aggr_row_view_, row_ptr, &buffer)) {
+        PDLOG(WARNING, "GetAggrBufferFromRowView failed");
+        return false;
+    }
+    if (!RebuildAggrBuffer(key, &buffer)) {
+        PDLOG(WARNING, "RebuildAggrBuffer failed. key is %s", key.c_str());
+        return false;
+    }
+    std::string filter_key;
+    if (!aggr_row_view_.IsNULL(row_ptr, 6)) {
+        char* ch = nullptr;
+        uint32_t len = 0;
+        aggr_row_view_.GetValue(row_ptr, 6, &ch, &len);
+        filter_key.assign(ch, len);
+    }
+    if (!FlushAggrBuffer(key, filter_key, buffer)) {
+        PDLOG(WARNING, "FlushAggrBuffer failed. key is %s", key.c_str());
+        return false;
+    }
+    return true;
+}
+
+bool Aggregator::RebuildAggrBuffer(const std::string& key, AggrBuffer* aggr_buffer) {
+    if (base_table_ == nullptr) {
+        PDLOG(WARNING, "base table is nullptr, cannot update MinAggr table");
+        return false;
+    }
+    storage::Ticket ticket;
+    std::unique_ptr<storage::TableIterator> it(base_table_->NewIterator(GetIndexPos(), key, ticket));
+    if (it == nullptr) {
+        return false;
+    }
+    int64_t ts_begin = aggr_buffer->ts_begin_;
+    int64_t ts_end = aggr_buffer->ts_end_;
+    uint64_t binlog_offset = aggr_buffer->binlog_offset_;
+    auto data_type = aggr_buffer->data_type_;
+    aggr_buffer->Clear();
+    aggr_buffer->ts_begin_ = ts_begin;
+    aggr_buffer->ts_end_ = ts_end;
+    aggr_buffer->binlog_offset_ = binlog_offset;
+    aggr_buffer->data_type_ = data_type;
+    it->Seek(ts_end);
+    while (it->Valid()) {
+        if (it->GetKey() < static_cast<uint64_t>(ts_begin)) {
+            break;
+        }
+        auto base_row_ptr = reinterpret_cast<const int8_t*>(it->GetValue().data());
+        if (!UpdateAggrVal(base_row_view_, base_row_ptr, aggr_buffer)) {
+            PDLOG(WARNING, "Failed to update aggr Val during rebuilding Extermum aggr buffer");
+            return false;
+        }
+        aggr_buffer->aggr_cnt_++;
+        it->Next();
+    }
     return true;
 }
 
@@ -270,12 +423,10 @@ bool Aggregator::FlushAll() {
 }
 
 bool Aggregator::Init(std::shared_ptr<LogReplicator> base_replicator) {
-    std::unique_lock<std::mutex> lock(mu_);
     if (GetStat() != AggrStat::kUnInit) {
-        PDLOG(INFO, "aggregator status is %s", AggrStatToString(GetStat()));
+        PDLOG(INFO, "aggregator status is %s", AggrStatToString(GetStat()).c_str());
         return true;
     }
-    lock.unlock();
     if (!base_replicator) {
         return false;
     }
@@ -372,7 +523,11 @@ bool Aggregator::Init(std::shared_ptr<LogReplicator> base_replicator) {
         for (const auto& dimension : entry.dimensions()) {
             if (dimension.idx() == index_pos_) {
                 if (entry.has_method_type() && entry.method_type() == ::openmldb::api::MethodType::kDelete) {
-                    Delete(dimension.key());
+                    std::optional<uint64_t> start_ts = entry.has_ts() ?
+                        std::optional<uint64_t>(entry.ts()) : std::nullopt;
+                    std::optional<uint64_t> end_ts = entry.has_end_ts() ?
+                        std::optional<uint64_t>(entry.end_ts()) : std::nullopt;
+                    Delete(dimension.key(), start_ts, end_ts);
                 } else {
                     Update(dimension.key(), entry.value(), entry.log_index(), true);
                 }
@@ -586,12 +741,13 @@ bool Aggregator::CheckBufferFilled(int64_t cur_ts, int64_t buffer_end, int32_t b
     return false;
 }
 
-SumAggregator::SumAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                             std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                             const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                             const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
-    : Aggregator(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col, aggr_type, ts_col, window_tpye,
-                 window_size) {}
+SumAggregator::SumAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+        const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+        std::shared_ptr<LogReplicator> aggr_replicator,
+        uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+        const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
+    : Aggregator(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator, index_pos,
+            aggr_col, aggr_type, ts_col, window_tpye, window_size) {}
 
 bool SumAggregator::UpdateAggrVal(const codec::RowView& row_view, const int8_t* row_ptr, AggrBuffer* aggr_buffer) {
     if (row_view.IsNULL(row_ptr, aggr_col_idx_)) {
@@ -700,13 +856,14 @@ bool SumAggregator::DecodeAggrVal(const int8_t* row_ptr, AggrBuffer* buffer) {
 }
 
 MinMaxBaseAggregator::MinMaxBaseAggregator(const ::openmldb::api::TableMeta& base_meta,
+                                           std::shared_ptr<Table> base_table,
                                            const ::openmldb::api::TableMeta& aggr_meta,
                                            std::shared_ptr<Table> aggr_table,
-                                           std::shared_ptr<LogReplicator> aggr_replicator, const uint32_t& index_pos,
+                                           std::shared_ptr<LogReplicator> aggr_replicator, uint32_t index_pos,
                                            const std::string& aggr_col, const AggrType& aggr_type,
                                            const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
-    : Aggregator(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col, aggr_type, ts_col, window_tpye,
-                 window_size) {}
+    : Aggregator(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col, aggr_type,
+            ts_col, window_tpye, window_size) {}
 
 bool MinMaxBaseAggregator::EncodeAggrVal(const AggrBuffer& buffer, std::string* aggr_val) {
     switch (aggr_col_type_) {
@@ -806,12 +963,13 @@ bool MinMaxBaseAggregator::DecodeAggrVal(const int8_t* row_ptr, AggrBuffer* buff
     return true;
 }
 
-MinAggregator::MinAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                             std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                             const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                             const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
-    : MinMaxBaseAggregator(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col, aggr_type, ts_col,
-                           window_tpye, window_size) {}
+MinAggregator::MinAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+        const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+        std::shared_ptr<LogReplicator> aggr_replicator,
+        uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+        const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
+    : MinMaxBaseAggregator(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator, index_pos,
+            aggr_col, aggr_type, ts_col, window_tpye, window_size) {}
 
 bool MinAggregator::UpdateAggrVal(const codec::RowView& row_view, const int8_t* row_ptr, AggrBuffer* aggr_buffer) {
     if (row_view.IsNULL(row_ptr, aggr_col_idx_)) {
@@ -888,12 +1046,13 @@ bool MinAggregator::UpdateAggrVal(const codec::RowView& row_view, const int8_t*
     return true;
 }
 
-MaxAggregator::MaxAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                             std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                             const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                             const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
-    : MinMaxBaseAggregator(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col, aggr_type, ts_col,
-                           window_tpye, window_size) {}
+MaxAggregator::MaxAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+        const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+        std::shared_ptr<LogReplicator> aggr_replicator,
+        uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+        const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
+    : MinMaxBaseAggregator(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator, index_pos,
+            aggr_col, aggr_type, ts_col, window_tpye, window_size) {}
 
 bool MaxAggregator::UpdateAggrVal(const codec::RowView& row_view, const int8_t* row_ptr, AggrBuffer* aggr_buffer) {
     if (row_view.IsNULL(row_ptr, aggr_col_idx_)) {
@@ -970,13 +1129,13 @@ bool MaxAggregator::UpdateAggrVal(const codec::RowView& row_view, const int8_t*
     return true;
 }
 
-CountAggregator::CountAggregator(const ::openmldb::api::TableMeta& base_meta,
+CountAggregator::CountAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
                                  const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
-                                 std::shared_ptr<LogReplicator> aggr_replicator, const uint32_t& index_pos,
+                                 std::shared_ptr<LogReplicator> aggr_replicator, uint32_t index_pos,
                                  const std::string& aggr_col, const AggrType& aggr_type, const std::string& ts_col,
                                  WindowType window_tpye, uint32_t window_size)
-    : Aggregator(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col, aggr_type, ts_col, window_tpye,
-                 window_size) {
+    : Aggregator(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col, aggr_type,
+            ts_col, window_tpye, window_size) {
     if (aggr_col == "*") {
         count_all = true;
     }
@@ -1005,12 +1164,13 @@ bool CountAggregator::UpdateAggrVal(const codec::RowView& row_view, const int8_t
     return true;
 }
 
-AvgAggregator::AvgAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                             std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                             const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                             const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
-    : Aggregator(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col, aggr_type, ts_col, window_tpye,
-                 window_size) {}
+AvgAggregator::AvgAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+        const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+        std::shared_ptr<LogReplicator> aggr_replicator,
+        uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+        const std::string& ts_col, WindowType window_tpye, uint32_t window_size)
+    : Aggregator(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator, index_pos,
+            aggr_col, aggr_type, ts_col, window_tpye, window_size) {}
 
 bool AvgAggregator::UpdateAggrVal(const codec::RowView& row_view, const int8_t* row_ptr, AggrBuffer* aggr_buffer) {
     if (row_view.IsNULL(row_ptr, aggr_col_idx_)) {
@@ -1076,6 +1236,7 @@ bool AvgAggregator::DecodeAggrVal(const int8_t* row_ptr, AggrBuffer* buffer) {
 }
 
 std::shared_ptr<Aggregator> CreateAggregator(const ::openmldb::api::TableMeta& base_meta,
+                                             std::shared_ptr<Table> base_table,
                                              const ::openmldb::api::TableMeta& aggr_meta,
                                              std::shared_ptr<Table> aggr_table,
                                              std::shared_ptr<LogReplicator> aggr_replicator, uint32_t index_pos,
@@ -1123,20 +1284,20 @@ std::shared_ptr<Aggregator> CreateAggregator(const ::openmldb::api::TableMeta& b
 
     std::shared_ptr<Aggregator> agg;
     if (aggr_type == "sum" || aggr_type == "sum_where") {
-        agg = std::make_shared<SumAggregator>(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col,
-                                               AggrType::kSum, ts_col, window_type, window_size);
+        agg = std::make_shared<SumAggregator>(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator,
+                index_pos, aggr_col, AggrType::kSum, ts_col, window_type, window_size);
     } else if (aggr_type == "min" || aggr_type == "min_where") {
-        agg = std::make_shared<MinAggregator>(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col,
-                                               AggrType::kMin, ts_col, window_type, window_size);
+        agg = std::make_shared<MinAggregator>(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator,
+                index_pos, aggr_col, AggrType::kMin, ts_col, window_type, window_size);
     } else if (aggr_type == "max" || aggr_type == "max_where") {
-        agg = std::make_shared<MaxAggregator>(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col,
-                                              AggrType::kMax, ts_col, window_type, window_size);
+        agg = std::make_shared<MaxAggregator>(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator,
+                index_pos, aggr_col, AggrType::kMax, ts_col, window_type, window_size);
     } else if (aggr_type == "count" || aggr_type == "count_where") {
-        agg = std::make_shared<CountAggregator>(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col,
-                                                AggrType::kCount, ts_col, window_type, window_size);
+        agg = std::make_shared<CountAggregator>(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator,
+                index_pos, aggr_col, AggrType::kCount, ts_col, window_type, window_size);
     } else if (aggr_type == "avg" || aggr_type == "avg_where") {
-        agg = std::make_shared<AvgAggregator>(base_meta, aggr_meta, aggr_table, aggr_replicator, index_pos, aggr_col,
-                                              AggrType::kAvg, ts_col, window_type, window_size);
+        agg = std::make_shared<AvgAggregator>(base_meta, base_table, aggr_meta, aggr_table, aggr_replicator,
+                index_pos, aggr_col, AggrType::kAvg, ts_col, window_type, window_size);
     } else {
         PDLOG(ERROR, "Unsupported aggregate function type");
         return {};
@@ -1149,11 +1310,11 @@ std::shared_ptr<Aggregator> CreateAggregator(const ::openmldb::api::TableMeta& b
 
     // _where variant
     if (filter_col.empty()) {
-        PDLOG(ERROR, "no filter column specified for %s", aggr_type);
+        PDLOG(ERROR, "no filter column specified for %s", aggr_type.c_str());
         return {};
     }
     if (!agg->SetFilter(filter_col)) {
-        PDLOG(ERROR, "can not find filter column '%s' for %s", filter_col, aggr_type);
+        PDLOG(ERROR, "can not find filter column '%s' for %s", filter_col.c_str(), aggr_type.c_str());
         return {};
     }
     return agg;
diff --git a/src/storage/aggregator.h b/src/storage/aggregator.h
index f007ffc18e4..035b126518a 100644
--- a/src/storage/aggregator.h
+++ b/src/storage/aggregator.h
@@ -120,16 +120,17 @@ struct AggrBufferLocked {
 
 class Aggregator {
  public:
-    Aggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-               std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-               const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-               const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
+    Aggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+            const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+            std::shared_ptr<LogReplicator> aggr_replicator,
+            uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+            const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
 
     ~Aggregator();
 
     bool Update(const std::string& key, const std::string& row, uint64_t offset, bool recover = false);
 
-    bool Delete(const std::string& key);
+    bool Delete(const std::string& key, const std::optional<uint64_t>& start_ts, const std::optional<uint64_t>& end_ts);
 
     bool FlushAll();
 
@@ -158,13 +159,14 @@ class Aggregator {
 
  protected:
     codec::Schema base_table_schema_;
-    codec::Schema aggr_table_schema_;
 
     using FilterMap = absl::flat_hash_map<std::string, AggrBufferLocked>;  // filter_column -> aggregator buffer
     absl::flat_hash_map<std::string, FilterMap> aggr_buffer_map_;          // key -> filter_map
     std::mutex mu_;
     DataType aggr_col_type_;
     DataType ts_col_type_;
+    std::shared_ptr<Table> base_table_;
+    codec::Schema aggr_table_schema_;
     std::shared_ptr<Table> aggr_table_;
     std::shared_ptr<LogReplicator> aggr_replicator_;
     std::atomic<AggrStat> status_;
@@ -176,11 +178,16 @@ class Aggregator {
     bool CheckBufferFilled(int64_t cur_ts, int64_t buffer_end, int32_t buffer_cnt);
 
  private:
+    bool DeleteData(const std::string& key, const std::optional<uint64_t>& start_ts,
+        const std::optional<uint64_t>& end_ts);
+
     virtual bool UpdateAggrVal(const codec::RowView& row_view, const int8_t* row_ptr, AggrBuffer* aggr_buffer) = 0;
     virtual bool EncodeAggrVal(const AggrBuffer& buffer, std::string* aggr_val) = 0;
     virtual bool DecodeAggrVal(const int8_t* row_ptr, AggrBuffer* buffer) = 0;
     bool EncodeAggrBuffer(const std::string& key, const std::string& filter_key,
             const AggrBuffer& buffer, const std::string& aggr_val, std::string* encoded_row);
+    bool RebuildAggrBuffer(const std::string& key, AggrBuffer* aggr_buffer);
+    bool RebuildFlushedAggrBuffer(const std::string& key, const int8_t* row_ptr);
     int64_t AlignedStart(int64_t ts) {
         if (window_type_ == WindowType::kRowsRange) {
             return ts / window_size_ * window_size_;
@@ -213,10 +220,11 @@ class Aggregator {
 
 class SumAggregator : public Aggregator {
  public:
-    SumAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                  std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                  const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                  const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
+    SumAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+            const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+            std::shared_ptr<LogReplicator> aggr_replicator,
+            uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+            const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
 
     ~SumAggregator() = default;
 
@@ -230,10 +238,11 @@ class SumAggregator : public Aggregator {
 
 class MinMaxBaseAggregator : public Aggregator {
  public:
-    MinMaxBaseAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                         std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                         const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                         const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
+    MinMaxBaseAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+            const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+            std::shared_ptr<LogReplicator> aggr_replicator,
+            uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+            const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
 
     ~MinMaxBaseAggregator() = default;
 
@@ -244,10 +253,11 @@ class MinMaxBaseAggregator : public Aggregator {
 };
 class MinAggregator : public MinMaxBaseAggregator {
  public:
-    MinAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                  std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                  const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                  const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
+    MinAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+            const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+            std::shared_ptr<LogReplicator> aggr_replicator,
+            uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+            const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
 
     ~MinAggregator() = default;
 
@@ -257,10 +267,11 @@ class MinAggregator : public MinMaxBaseAggregator {
 
 class MaxAggregator : public MinMaxBaseAggregator {
  public:
-    MaxAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                  std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                  const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                  const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
+    MaxAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+            const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+            std::shared_ptr<LogReplicator> aggr_replicator,
+            uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+            const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
 
     ~MaxAggregator() = default;
 
@@ -270,10 +281,11 @@ class MaxAggregator : public MinMaxBaseAggregator {
 
 class CountAggregator : public Aggregator {
  public:
-    CountAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                    std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                    const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                    const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
+    CountAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+            const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+            std::shared_ptr<LogReplicator> aggr_replicator,
+            uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+            const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
 
     ~CountAggregator() = default;
 
@@ -289,10 +301,11 @@ class CountAggregator : public Aggregator {
 
 class AvgAggregator : public Aggregator {
  public:
-    AvgAggregator(const ::openmldb::api::TableMeta& base_meta, const ::openmldb::api::TableMeta& aggr_meta,
-                  std::shared_ptr<Table> aggr_table, std::shared_ptr<LogReplicator> aggr_replicator,
-                  const uint32_t& index_pos, const std::string& aggr_col, const AggrType& aggr_type,
-                  const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
+    AvgAggregator(const ::openmldb::api::TableMeta& base_meta, std::shared_ptr<Table> base_table,
+            const ::openmldb::api::TableMeta& aggr_meta, std::shared_ptr<Table> aggr_table,
+            std::shared_ptr<LogReplicator> aggr_replicator,
+            uint32_t index_pos, const std::string& aggr_col, const AggrType& aggr_type,
+            const std::string& ts_col, WindowType window_tpye, uint32_t window_size);
 
     ~AvgAggregator() = default;
 
@@ -305,6 +318,7 @@ class AvgAggregator : public Aggregator {
 };
 
 std::shared_ptr<Aggregator> CreateAggregator(const ::openmldb::api::TableMeta& base_meta,
+                                             std::shared_ptr<Table> base_table,
                                              const ::openmldb::api::TableMeta& aggr_meta,
                                              std::shared_ptr<Table> aggr_table,
                                              std::shared_ptr<LogReplicator> aggr_replicator, uint32_t index_pos,
diff --git a/src/storage/aggregator_test.cc b/src/storage/aggregator_test.cc
index c64f70b9269..2fa9299c6f2 100644
--- a/src/storage/aggregator_test.cc
+++ b/src/storage/aggregator_test.cc
@@ -123,8 +123,8 @@ bool GetUpdatedResult(const uint32_t& id, const std::string& aggr_col, const std
     std::shared_ptr<LogReplicator> replicator = std::make_shared<LogReplicator>(
         aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
     replicator->Init();
-    auto aggr = CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, aggr_col, aggr_type,
-                                 "ts_col", bucket_size, "low_card");
+    auto aggr = CreateAggregator(base_table_meta, table, aggr_table_meta, aggr_table, replicator, 0,
+            aggr_col, aggr_type, "ts_col", bucket_size, "low_card");
     std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
         base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
     base_replicator->Init();
@@ -319,7 +319,8 @@ void CheckCountWhereAggrResult(std::shared_ptr<Table> aggr_table, std::shared_pt
 TEST_F(AggregatorTest, CreateAggregator) {
     // rows_num window type
     std::map<std::string, std::string> map;
-    std::string folder = "/tmp/" + GenRand() + "/";
+    ::openmldb::test::TempPath tmp_path;
+    std::string folder = tmp_path.GetTempPath();
     {
         uint32_t id = counter++;
         ::openmldb::api::TableMeta base_table_meta;
@@ -334,8 +335,8 @@ TEST_F(AggregatorTest, CreateAggregator) {
         std::shared_ptr<LogReplicator> replicator = std::make_shared<LogReplicator>(
             aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
         replicator->Init();
-        auto aggr = CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "sum",
-                                     "ts_col", "1000");
+        auto aggr = CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+                "col3", "sum", "ts_col", "1000");
         std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
             base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
         base_replicator->Init();
@@ -360,8 +361,8 @@ TEST_F(AggregatorTest, CreateAggregator) {
         std::shared_ptr<LogReplicator> replicator = std::make_shared<LogReplicator>(
             aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
         replicator->Init();
-        auto aggr = CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "sum",
-                                     "ts_col", "1d");
+        auto aggr = CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+                "col3", "sum", "ts_col", "1d");
         std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
             base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
         base_replicator->Init();
@@ -385,8 +386,8 @@ TEST_F(AggregatorTest, CreateAggregator) {
         std::shared_ptr<LogReplicator> replicator = std::make_shared<LogReplicator>(
             aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
         replicator->Init();
-        auto aggr = CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "sum",
-                                     "ts_col", "2s");
+        auto aggr = CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+                "col3", "sum", "ts_col", "2s");
         std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
             base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
         base_replicator->Init();
@@ -410,8 +411,8 @@ TEST_F(AggregatorTest, CreateAggregator) {
         std::shared_ptr<LogReplicator> replicator = std::make_shared<LogReplicator>(
             aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
         replicator->Init();
-        auto aggr = CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "sum",
-                                     "ts_col", "3m");
+        auto aggr = CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+                "col3", "sum", "ts_col", "3m");
         std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
             base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
         base_replicator->Init();
@@ -435,8 +436,8 @@ TEST_F(AggregatorTest, CreateAggregator) {
         std::shared_ptr<LogReplicator> replicator = std::make_shared<LogReplicator>(
             aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
         replicator->Init();
-        auto aggr = CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "sum",
-                                     "ts_col", "100h");
+        auto aggr = CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+                "col3", "sum", "ts_col", "100h");
         std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
             base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
         base_replicator->Init();
@@ -471,7 +472,8 @@ TEST_F(AggregatorTest, SumAggregatorUpdate) {
             aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
         replicator->Init();
         auto aggr =
-            CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "sum", "ts_col", "2");
+            CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+                    "col3", "sum", "ts_col", "2");
         std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
             base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
         base_replicator->Init();
@@ -739,7 +741,8 @@ TEST_F(AggregatorTest, OutOfOrder) {
         aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
     replicator->Init();
     auto aggr =
-        CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "sum", "ts_col", "1s");
+        CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+                "col3", "sum", "ts_col", "1s");
     std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
         base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
     base_replicator->Init();
@@ -808,7 +811,8 @@ TEST_F(AggregatorTest, OutOfOrder) {
 
 TEST_F(AggregatorTest, OutOfOrderCountWhere) {
     std::map<std::string, std::string> map;
-    std::string folder = "/tmp/" + GenRand() + "/";
+    ::openmldb::test::TempPath tmp_path;
+    std::string folder = tmp_path.GetTempPath();
     uint32_t id = counter++;
     ::openmldb::api::TableMeta base_table_meta;
     base_table_meta.set_tid(id);
@@ -822,8 +826,8 @@ TEST_F(AggregatorTest, OutOfOrderCountWhere) {
     std::shared_ptr<LogReplicator> replicator = std::make_shared<LogReplicator>(
         aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
     replicator->Init();
-    auto aggr = CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "count_where",
-                                 "ts_col", "1s", "low_card");
+    auto aggr = CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+            "col3", "count_where", "ts_col", "1s", "low_card");
     std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
         base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
     base_replicator->Init();
@@ -914,7 +918,8 @@ TEST_F(AggregatorTest, OutOfOrderCountWhere) {
 
 TEST_F(AggregatorTest, AlignedCountWhere) {
     std::map<std::string, std::string> map;
-    std::string folder = "/tmp/" + GenRand() + "/";
+    ::openmldb::test::TempPath tmp_path;
+    std::string folder = tmp_path.GetTempPath();
     uint32_t id = counter++;
     ::openmldb::api::TableMeta base_table_meta;
     base_table_meta.set_tid(id);
@@ -928,8 +933,8 @@ TEST_F(AggregatorTest, AlignedCountWhere) {
     std::shared_ptr<LogReplicator> replicator = std::make_shared<LogReplicator>(
         aggr_table->GetId(), aggr_table->GetPid(), folder, map, ::openmldb::replica::kLeaderNode);
     replicator->Init();
-    auto aggr = CreateAggregator(base_table_meta, aggr_table_meta, aggr_table, replicator, 0, "col3", "count_where",
-                                 "ts_col", "1s", "low_card");
+    auto aggr = CreateAggregator(base_table_meta, nullptr, aggr_table_meta, aggr_table, replicator, 0,
+            "col3", "count_where", "ts_col", "1s", "low_card");
     std::shared_ptr<LogReplicator> base_replicator = std::make_shared<LogReplicator>(
         base_table_meta.tid(), base_table_meta.pid(), folder, map, ::openmldb::replica::kLeaderNode);
     base_replicator->Init();
diff --git a/src/storage/disk_table.cc b/src/storage/disk_table.cc
index 8f508bac6c5..ca3abbf90e0 100644
--- a/src/storage/disk_table.cc
+++ b/src/storage/disk_table.cc
@@ -283,17 +283,14 @@ bool DiskTable::Put(uint64_t time, const std::string& value, const Dimensions& d
 }
 
 bool DiskTable::Delete(const ::openmldb::api::LogEntry& entry) {
-    uint64_t start_ts = entry.has_ts() ? entry.ts() : UINT64_MAX;
+    std::optional<uint64_t> start_ts = entry.has_ts() ? std::optional<uint64_t>(entry.ts()) : std::nullopt;
     std::optional<uint64_t> end_ts = entry.has_end_ts() ? std::optional<uint64_t>(entry.end_ts()) : std::nullopt;
     if (entry.dimensions_size() > 0) {
         for (const auto& dimension : entry.dimensions()) {
-            auto s = Delete(dimension.idx(), dimension.key(), start_ts, end_ts);
-            if (!s.OK()) {
-                DEBUGLOG("Delete failed. tid %u pid %u msg %s", id_, pid_, s.GetMsg().c_str());
+            if (!Delete(dimension.idx(), dimension.key(), start_ts, end_ts)) {
                 return false;
             }
         }
-        offset_.fetch_add(1, std::memory_order_relaxed);
         return true;
     } else {
         for (const auto& index : table_index_.GetAllIndex()) {
@@ -316,12 +313,13 @@ bool DiskTable::Delete(const ::openmldb::api::LogEntry& entry) {
     return true;
 }
 
-base::Status DiskTable::Delete(uint32_t idx, const std::string& pk,
-        uint64_t start_ts, const std::optional<uint64_t>& end_ts) {
+bool DiskTable::Delete(uint32_t idx, const std::string& pk,
+        const std::optional<uint64_t>& start_ts, const std::optional<uint64_t>& end_ts) {
     auto index_def = table_index_.GetIndex(idx);
     if (!index_def || !index_def->IsReady()) {
-        return {-1, "index not found"};
+        return false;
     }
+    uint64_t real_start_ts = start_ts.has_value() ? start_ts.value() : UINT64_MAX;
     uint64_t real_end_ts = end_ts.has_value() ? end_ts.value() : 0;
     std::string combine_key1;
     std::string combine_key2;
@@ -330,21 +328,23 @@ base::Status DiskTable::Delete(uint32_t idx, const std::string& pk,
     if (inner_index && inner_index->GetIndex().size() > 1) {
         auto ts_col = index_def->GetTsColumn();
         if (!ts_col) {
-            return {-1, "ts column not found"};
+            return false;
         }
-        combine_key1 = CombineKeyTs(pk, start_ts, ts_col->GetId());
+        combine_key1 = CombineKeyTs(pk, real_start_ts, ts_col->GetId());
         combine_key2 = CombineKeyTs(pk, real_end_ts, ts_col->GetId());
     } else {
-        combine_key1 = CombineKeyTs(pk, start_ts);
+        combine_key1 = CombineKeyTs(pk, real_start_ts);
         combine_key2 = CombineKeyTs(pk, real_end_ts);
     }
     rocksdb::WriteBatch batch;
     batch.DeleteRange(cf_hs_[inner_pos + 1], rocksdb::Slice(combine_key1), rocksdb::Slice(combine_key2));
     rocksdb::Status s = db_->Write(write_opts_, &batch);
     if (!s.ok()) {
-        return {-1, s.ToString()};
+        DEBUGLOG("Delete failed. tid %u pid %u msg %s", id_, pid_, s.ToString().c_str());
+        return false;
     }
-    return {};
+    offset_.fetch_add(1, std::memory_order_relaxed);
+    return true;
 }
 
 bool DiskTable::Get(uint32_t idx, const std::string& pk, uint64_t ts, std::string& value) {
diff --git a/src/storage/disk_table.h b/src/storage/disk_table.h
index 20f25f9a7ae..8c2c5d3a71a 100644
--- a/src/storage/disk_table.h
+++ b/src/storage/disk_table.h
@@ -181,6 +181,9 @@ class DiskTable : public Table {
 
     bool Delete(const ::openmldb::api::LogEntry& entry) override;
 
+    bool Delete(uint32_t idx, const std::string& pk,
+            const std::optional<uint64_t>& start_ts, const std::optional<uint64_t>& end_ts) override;
+
     uint64_t GetExpireTime(const TTLSt& ttl_st) override;
 
     uint64_t GetRecordCnt() override {
diff --git a/src/storage/mem_table.cc b/src/storage/mem_table.cc
index 8cbb145e323..83cded915a3 100644
--- a/src/storage/mem_table.cc
+++ b/src/storage/mem_table.cc
@@ -226,32 +226,15 @@ bool MemTable::Put(uint64_t time, const std::string& value, const Dimensions& di
 }
 
 bool MemTable::Delete(const ::openmldb::api::LogEntry& entry) {
+    std::optional<uint64_t> start_ts = entry.has_ts() ? std::optional<uint64_t>{entry.ts()}
+                                                         : std::nullopt;
+    std::optional<uint64_t> end_ts = entry.has_end_ts() ? std::optional<uint64_t>{entry.end_ts()}
+                                                         : std::nullopt;
     if (entry.dimensions_size() > 0) {
         for (const auto& dimension : entry.dimensions()) {
-            auto index_def = GetIndex(dimension.idx());
-            if (!index_def || !index_def->IsReady()) {
+            if (!Delete(dimension.idx(), dimension.key(), start_ts, end_ts)) {
                 return false;
             }
-            auto ts_col = index_def->GetTsColumn();
-            std::optional<uint32_t> ts_idx = ts_col ? std::optional<uint32_t>{ts_col->GetId()} : std::nullopt;
-            Slice spk(dimension.key());
-            uint32_t seg_idx = 0;
-            if (seg_cnt_ > 1) {
-                seg_idx = base::hash(spk.data(), spk.size(), SEED) % seg_cnt_;
-            }
-            uint32_t real_idx = index_def->GetInnerPos();
-            if (entry.has_ts() || entry.has_end_ts()) {
-                uint64_t start_ts = entry.has_ts() ? entry.ts() : UINT64_MAX;
-                std::optional<uint64_t> end_ts = entry.has_end_ts() ? std::optional<uint64_t>{entry.end_ts()}
-                                                                     : std::nullopt;
-                if (!segments_[real_idx][seg_idx]->Delete(ts_idx, spk, start_ts, end_ts)) {
-                    return false;
-                }
-            } else {
-                if (!segments_[real_idx][seg_idx]->Delete(ts_idx, spk)) {
-                    return false;
-                }
-            }
         }
         return true;
     } else {
@@ -259,37 +242,46 @@ bool MemTable::Delete(const ::openmldb::api::LogEntry& entry) {
             if (!index_def || !index_def->IsReady()) {
                 continue;
             }
-            uint32_t real_idx = index_def->GetInnerPos();
             auto ts_col = index_def->GetTsColumn();
             if (!ts_col->IsAutoGenTs() && ts_col->GetName() != entry.ts_name()) {
                 continue;
             }
-            std::optional<uint32_t> ts_idx = ts_col ? std::optional<uint32_t>{ts_col->GetId()} : std::nullopt;
             uint32_t idx = index_def->GetId();
             std::unique_ptr<TraverseIterator> iter(NewTraverseIterator(idx));
             iter->SeekToFirst();
             while (iter->Valid()) {
                 auto pk = iter->GetPK();
                 iter->NextPK();
-                Slice spk(pk);
-                uint32_t seg_idx = 0;
-                if (seg_cnt_ > 1) {
-                    seg_idx = base::hash(spk.data(), spk.size(), SEED) % seg_cnt_;
-                }
-                if (entry.has_ts() || entry.has_end_ts()) {
-                    uint64_t start_ts = entry.has_ts() ? entry.ts() : UINT64_MAX;
-                    std::optional<uint64_t> end_ts = entry.has_end_ts() ? std::optional<uint64_t>{entry.end_ts()}
-                                                                        : std::nullopt;
-                    segments_[real_idx][seg_idx]->Delete(ts_idx, spk, start_ts, end_ts);
-                } else {
-                    segments_[real_idx][seg_idx]->Delete(ts_idx, spk);
-                }
+                Delete(idx, pk, start_ts, end_ts);
             }
         }
     }
     return true;
 }
 
+bool MemTable::Delete(uint32_t idx, const std::string& key,
+        const std::optional<uint64_t>& start_ts, const std::optional<uint64_t>& end_ts) {
+    auto index_def = GetIndex(idx);
+    if (!index_def || !index_def->IsReady()) {
+        return false;
+    }
+    uint32_t real_idx = index_def->GetInnerPos();
+    auto ts_col = index_def->GetTsColumn();
+    std::optional<uint32_t> ts_idx = ts_col ? std::optional<uint32_t>{ts_col->GetId()} : std::nullopt;
+    Slice spk(key);
+    uint32_t seg_idx = 0;
+    if (seg_cnt_ > 1) {
+        seg_idx = base::hash(spk.data(), spk.size(), SEED) % seg_cnt_;
+    }
+    if (!start_ts.has_value() && !end_ts.has_value()) {
+        return segments_[real_idx][seg_idx]->Delete(ts_idx, spk);
+    } else {
+        uint64_t real_start_ts = start_ts.has_value() ? start_ts.value() : UINT64_MAX;
+        return segments_[real_idx][seg_idx]->Delete(ts_idx, spk, real_start_ts, end_ts);
+    }
+    return true;
+}
+
 uint64_t MemTable::Release() {
     if (segment_released_) {
         return 0;
diff --git a/src/storage/mem_table.h b/src/storage/mem_table.h
index 48e313b3eec..8ae1964e0ef 100644
--- a/src/storage/mem_table.h
+++ b/src/storage/mem_table.h
@@ -59,6 +59,8 @@ class MemTable : public Table {
                   const ::google::protobuf::RepeatedPtrField<::openmldb::api::BulkLoadIndex>& indexes);
 
     bool Delete(const ::openmldb::api::LogEntry& entry) override;
+    bool Delete(uint32_t idx, const std::string& key,
+            const std::optional<uint64_t>& start_ts, const std::optional<uint64_t>& end_ts);
 
     // use the first demission
     TableIterator* NewIterator(const std::string& pk, Ticket& ticket) override;
diff --git a/src/storage/table.h b/src/storage/table.h
index 55c89d7674a..32a957c9db7 100644
--- a/src/storage/table.h
+++ b/src/storage/table.h
@@ -59,6 +59,9 @@ class Table {
 
     virtual bool Delete(const ::openmldb::api::LogEntry& entry) = 0;
 
+    virtual bool Delete(uint32_t idx, const std::string& key,
+            const std::optional<uint64_t>& start_ts, const std::optional<uint64_t>& end_ts) = 0;
+
     virtual TableIterator* NewIterator(const std::string& pk,
                                        Ticket& ticket) = 0;  // NOLINT
 
diff --git a/src/tablet/combine_iterator.h b/src/tablet/combine_iterator.h
index 1250cb83ca2..d7b97ddbb03 100644
--- a/src/tablet/combine_iterator.h
+++ b/src/tablet/combine_iterator.h
@@ -27,7 +27,7 @@ namespace tablet {
 __attribute__((unused)) static bool SeekWithCount(::openmldb::storage::TableIterator* it, const uint64_t time,
                                                   const ::openmldb::api::GetType& type, uint32_t max_cnt,
                                                   uint32_t* cnt) {
-    if (it == NULL) {
+    if (it == nullptr) {
         return false;
     }
     it->SeekToFirst();
@@ -63,7 +63,7 @@ __attribute__((unused)) static bool SeekWithCount(::openmldb::storage::TableIter
 
 __attribute__((unused)) static bool Seek(::openmldb::storage::TableIterator* it, const uint64_t time,
                                          const ::openmldb::api::GetType& type) {
-    if (it == NULL) {
+    if (it == nullptr) {
         return false;
     }
     switch (type) {
@@ -91,15 +91,15 @@ __attribute__((unused)) static bool Seek(::openmldb::storage::TableIterator* it,
 __attribute__((unused)) static int GetIterator(std::shared_ptr<::openmldb::storage::Table> table, const std::string& pk,
                                                int index, std::shared_ptr<::openmldb::storage::TableIterator>* it,
                                                std::shared_ptr<::openmldb::storage::Ticket>* ticket) {
-    if (it == NULL || ticket == NULL) {
+    if (it == nullptr || ticket == nullptr) {
         return -1;
     }
     if (!(*ticket)) {
         *ticket = std::make_shared<::openmldb::storage::Ticket>();
     }
-    ::openmldb::storage::TableIterator* cur_it = NULL;
+    ::openmldb::storage::TableIterator* cur_it = nullptr;
     cur_it = table->NewIterator(index, pk, *(ticket->get()));
-    if (cur_it == NULL) {
+    if (cur_it == nullptr) {
         return -1;
     }
     it->reset(cur_it);
diff --git a/src/tablet/tablet_impl.cc b/src/tablet/tablet_impl.cc
index f30f1f8b74b..a919c8ae52a 100644
--- a/src/tablet/tablet_impl.cc
+++ b/src/tablet/tablet_impl.cc
@@ -20,8 +20,6 @@
 #include <stdlib.h>
 #include <filesystem>
 #include <memory>
-#include "absl/time/clock.h"
-#include "absl/time/time.h"
 #ifdef DISALLOW_COPY_AND_ASSIGN
 #undef DISALLOW_COPY_AND_ASSIGN
 #endif
@@ -34,12 +32,10 @@
 #include <vector>
 
 #include "absl/cleanup/cleanup.h"
+#include "absl/time/clock.h"
+#include "absl/time/time.h"
 #include "boost/bind.hpp"
 #include "boost/container/deque.hpp"
-#include "config.h"  // NOLINT
-#ifdef TCMALLOC_ENABLE
-#include "gperftools/malloc_extension.h"
-#endif
 #include "base/file_util.h"
 #include "base/glog_wrapper.h"
 #include "base/hash.h"
@@ -53,8 +49,12 @@
 #include "codec/row_codec.h"
 #include "codec/sql_rpc_row_codec.h"
 #include "common/timer.h"
+#include "config.h"  // NOLINT
 #include "gflags/gflags.h"
 #include "glog/logging.h"
+#ifdef TCMALLOC_ENABLE
+#include "gperftools/malloc_extension.h"
+#endif
 #include "google/protobuf/io/zero_copy_stream_impl.h"
 #include "google/protobuf/text_format.h"
 #include "nameserver/task.h"
@@ -66,11 +66,8 @@
 #include "tablet/file_sender.h"
 
 using ::openmldb::base::ReturnCode;
-using ::openmldb::codec::SchemaCodec;
-using ::openmldb::storage::DataBlock;
 using ::openmldb::storage::DiskTable;
 using ::openmldb::storage::Table;
-using google::protobuf::RepeatedPtrField;
 
 DECLARE_int32(gc_interval);
 DECLARE_int32(gc_pool_size);
@@ -125,7 +122,6 @@ DECLARE_int32(snapshot_pool_size);
 namespace openmldb {
 namespace tablet {
 
-static const std::string SERVER_CONCURRENCY_KEY = "server";  // NOLINT
 static const uint32_t SEED = 0xe17a1465;
 
 static constexpr const char DEPLOY_STATS[] = "deploy_stats";
@@ -212,9 +208,8 @@ bool TabletImpl::Init(const std::string& zk_cluster, const std::string& zk_path,
     } else {
         options.SetClusterOptimized(false);
     }
-    engine_ = std::unique_ptr<::hybridse::vm::Engine>(new ::hybridse::vm::Engine(catalog_, options));
-    catalog_->SetLocalTablet(
-        std::shared_ptr<::hybridse::vm::Tablet>(new ::hybridse::vm::LocalTablet(engine_.get(), sp_cache_)));
+    engine_ = std::make_unique<::hybridse::vm::Engine>(catalog_, options);
+    catalog_->SetLocalTablet(std::make_shared<::hybridse::vm::LocalTablet>(engine_.get(), sp_cache_));
     std::set<std::string> snapshot_compression_set{"off", "zlib", "snappy"};
     if (snapshot_compression_set.find(FLAGS_snapshot_compression) == snapshot_compression_set.end()) {
         LOG(ERROR) << "wrong snapshot_compression: " << FLAGS_snapshot_compression;
@@ -1602,34 +1597,80 @@ void TabletImpl::Delete(RpcController* controller, const ::openmldb::api::Delete
         PDLOG(WARNING, "invalid args. tid %u, pid %u", tid, pid);
         return;
     }
-    if (table->Delete(entry)) {
-        response->set_code(::openmldb::base::ReturnCode::kOk);
-        response->set_msg("ok");
-        DEBUGLOG("delete ok. tid %u, pid %u, key %s", tid, pid, request->key().c_str());
-    } else {
-        response->set_code(::openmldb::base::ReturnCode::kDeleteFailed);
-        response->set_msg("delete failed");
-        return;
-    }
-
-    // delete the entries from pre-aggr table
     auto aggrs = GetAggregators(tid, pid);
-    if (aggrs) {
-        for (const auto& aggr : *aggrs) {
-            if (aggr->GetIndexPos() != idx) {
-                continue;
+    if (!aggrs) {
+        if (table->Delete(entry)) {
+            DEBUGLOG("delete ok. tid %u, pid %u, key %s", tid, pid, request->key().c_str());
+        } else {
+            response->set_code(::openmldb::base::ReturnCode::kDeleteFailed);
+            response->set_msg("delete failed");
+            return;
+        }
+    } else {
+        auto get_aggregator = [this](std::shared_ptr<Aggrs> aggrs, uint32_t idx) -> std::shared_ptr<Aggregator> {
+            if (aggrs) {
+                for (const auto& aggr : *aggrs) {
+                    if (aggr->GetIndexPos() == idx) {
+                        return aggr;
+                    }
+                }
             }
-            auto ok = aggr->Delete(request->key());
-            if (!ok) {
-                PDLOG(WARNING,
-                      "delete from aggr failed. base table: tid[%u] pid[%u] index[%u] key[%s]. aggr table: tid[%u]",
-                      tid, pid, idx, request->key().c_str(), aggr->GetAggrTid());
-                response->set_code(::openmldb::base::ReturnCode::kDeleteFailed);
-                response->set_msg("delete from associated pre-aggr table failed");
-                return;
+            return {};
+        };
+        std::optional<uint64_t> start_ts = entry.has_ts() ? std::optional<uint64_t>{entry.ts()} : std::nullopt;
+        std::optional<uint64_t> end_ts = entry.has_end_ts() ? std::optional<uint64_t>{entry.end_ts()} : std::nullopt;
+        if (entry.dimensions_size() > 0) {
+            for (const auto& dimension : entry.dimensions()) {
+                if (!table->Delete(dimension.idx(), dimension.key(), start_ts, end_ts)) {
+                    response->set_code(::openmldb::base::ReturnCode::kDeleteFailed);
+                    response->set_msg("delete failed");
+                    return;
+                }
+                auto aggr = get_aggregator(aggrs, dimension.idx());
+                if (aggr) {
+                    if (!aggr->Delete(dimension.key(), start_ts, end_ts)) {
+                        PDLOG(WARNING, "delete from aggr failed. base table: tid[%u] pid[%u] index[%u] key[%s]. "
+                                "aggr table: tid[%u]",
+                              tid, pid, idx, dimension.key().c_str(), aggr->GetAggrTid());
+                        response->set_code(::openmldb::base::ReturnCode::kDeleteFailed);
+                        response->set_msg("delete from associated pre-aggr table failed");
+                        return;
+                    }
+                }
+                DEBUGLOG("delete ok. tid %u, pid %u, key %s", tid, pid, dimension.key().c_str());
+            }
+        } else {
+            for (const auto& index_def : table->GetAllIndex()) {
+                if (!index_def || !index_def->IsReady()) {
+                    continue;
+                }
+                uint32_t idx = index_def->GetId();
+                std::unique_ptr<storage::TraverseIterator> iter(table->NewTraverseIterator(idx));
+                iter->SeekToFirst();
+                while (iter->Valid()) {
+                    auto pk = iter->GetPK();
+                    iter->NextPK();
+                    if (!table->Delete(idx, pk, start_ts, end_ts)) {
+                        response->set_code(::openmldb::base::ReturnCode::kDeleteFailed);
+                        response->set_msg("delete failed");
+                        return;
+                    }
+                    auto aggr = get_aggregator(aggrs, idx);
+                    if (aggr) {
+                        if (!aggr->Delete(pk, start_ts, end_ts)) {
+                            PDLOG(WARNING, "delete from aggr failed. base table: tid[%u] pid[%u] index[%u] key[%s]. "
+                                    "aggr table: tid[%u]", tid, pid, idx, pk.c_str(), aggr->GetAggrTid());
+                            response->set_code(::openmldb::base::ReturnCode::kDeleteFailed);
+                            response->set_msg("delete from associated pre-aggr table failed");
+                            return;
+                        }
+                    }
+                }
             }
         }
     }
+    response->set_code(::openmldb::base::ReturnCode::kOk);
+    response->set_msg("ok");
 
     replicator->AppendEntry(entry);
     if (FLAGS_binlog_notify_on_put) {
@@ -5715,9 +5756,14 @@ bool TabletImpl::CreateAggregatorInternal(const ::openmldb::api::CreateAggregato
         return false;
     }
     auto aggr_replicator = GetReplicator(request->aggr_table_tid(), request->aggr_table_pid());
-    auto aggregator = ::openmldb::storage::CreateAggregator(
-        base_meta, *aggr_table->GetTableMeta(), aggr_table, aggr_replicator, request->index_pos(), request->aggr_col(),
-        request->aggr_func(), request->order_by_col(), request->bucket_size(), request->filter_col());
+    auto base_table = GetTable(base_meta.tid(), base_meta.pid());
+    if (!base_table) {
+        PDLOG(WARNING, "base table does not exist. tid %u, pid %u", base_meta.tid(), base_meta.pid());
+        return false;
+    }
+    auto aggregator = ::openmldb::storage::CreateAggregator(base_meta, base_table,
+            *aggr_table->GetTableMeta(), aggr_table, aggr_replicator, request->index_pos(), request->aggr_col(),
+            request->aggr_func(), request->order_by_col(), request->bucket_size(), request->filter_col());
     if (!aggregator) {
         msg.assign("create aggregator failed");
         return false;
diff --git a/src/tablet/tablet_impl_test.cc b/src/tablet/tablet_impl_test.cc
index da5cc626bf0..d7bdc631611 100644
--- a/src/tablet/tablet_impl_test.cc
+++ b/src/tablet/tablet_impl_test.cc
@@ -249,6 +249,23 @@ int PutKVData(uint32_t tid, uint32_t pid, const std::string& key, const std::str
     return presponse.code();
 }
 
+std::pair<int, int> ScanFromTablet(uint32_t tid, uint32_t pid, const std::string& key, const std::string& idx_name,
+        uint64_t st, uint64_t et, TabletImpl* tablet) {
+    ::openmldb::api::ScanRequest sr;
+    sr.set_tid(tid);
+    sr.set_pid(pid);
+    sr.set_pk(key);
+    if (!idx_name.empty()) {
+        sr.set_idx_name(idx_name);
+    }
+    sr.set_st(st);
+    sr.set_et(et);
+    ::openmldb::api::ScanResponse srp;
+    MockClosure closure;
+    tablet->Scan(NULL, &sr, &srp, &closure);
+    return std::make_pair(srp.code(), srp.count());
+}
+
 int GetTTL(TabletImpl& tablet, uint32_t tid, uint32_t pid, const std::string& index_name,  // NOLINT
            ::openmldb::common::TTLSt* ttl) {
     ::openmldb::api::GetTableSchemaRequest request;
@@ -5504,17 +5521,9 @@ TEST_F(TabletImplTest, AggregatorRecovery) {
         ASSERT_EQ(0, response.code());
 
         sleep(3);
-
-        ::openmldb::api::ScanRequest sr;
-        sr.set_tid(aggr_table_id);
-        sr.set_pid(1);
-        sr.set_pk("id1");
-        sr.set_st(100);
-        sr.set_et(0);
-        ::openmldb::api::ScanResponse srp;
-        tablet.Scan(NULL, &sr, &srp, &closure);
-        ASSERT_EQ(0, srp.code());
-        ASSERT_EQ(0, (signed)srp.count());
+        auto result = ScanFromTablet(aggr_table_id, 1, "id1", "", 100, 0, &tablet);
+        ASSERT_EQ(0, result.first);
+        ASSERT_EQ(0, result.second);
         auto aggrs = tablet.GetAggregators(base_table_id, 1);
         ASSERT_EQ(aggrs->size(), 1);
         auto aggr = aggrs->at(0);
@@ -5586,26 +5595,13 @@ TEST_F(TabletImplTest, AggregatorRecovery) {
         ASSERT_EQ(0, response.code());
 
         sleep(3);
-
-        ::openmldb::api::ScanRequest sr;
-        sr.set_tid(aggr_table_id);
-        sr.set_pid(1);
-        sr.set_pk("id1");
-        sr.set_st(100);
-        sr.set_et(0);
-        ::openmldb::api::ScanResponse srp;
-        tablet.Scan(NULL, &sr, &srp, &closure);
-        ASSERT_EQ(0, srp.code());
-        ASSERT_EQ(49, (signed)srp.count());
-        sr.set_tid(aggr_table_id);
-        sr.set_pid(1);
-        sr.set_pk("id2");
-        sr.set_st(100);
-        sr.set_et(0);
-        tablet.Scan(NULL, &sr, &srp, &closure);
-        ASSERT_EQ(0, srp.code());
+        auto result = ScanFromTablet(aggr_table_id, 1, "id1", "", 100, 0, &tablet);
+        ASSERT_EQ(0, result.first);
+        ASSERT_EQ(49, result.second);
+        result = ScanFromTablet(aggr_table_id, 1, "id2", "", 100, 0, &tablet);
+        ASSERT_EQ(0, result.first);
         // 50 = 49 (the number of aggr value) + 1 (the number of out-of-order put)
-        ASSERT_EQ(50, (signed)srp.count());
+        ASSERT_EQ(50, result.second);
         auto aggrs = tablet.GetAggregators(base_table_id, 1);
         ASSERT_EQ(aggrs->size(), 1);
         auto aggr = aggrs->at(0);
@@ -5831,7 +5827,7 @@ TEST_F(TabletImplTest, AggregatorDeleteKey) {
                 ::openmldb::api::PutRequest prequest;
                 ::openmldb::test::SetDimension(0, key, prequest.add_dimensions());
                 prequest.set_time(i);
-                prequest.set_value(EncodeAggrRow("id1", i, i));
+                prequest.set_value(EncodeAggrRow(key, i, i));
                 prequest.set_tid(base_table_id);
                 prequest.set_pid(1);
                 ::openmldb::api::PutResponse presponse;
@@ -5844,31 +5840,17 @@ TEST_F(TabletImplTest, AggregatorDeleteKey) {
         // check the base table
         for (int32_t k = 1; k <= 2; k++) {
             std::string key = absl::StrCat("id", k);
-            ::openmldb::api::ScanRequest sr;
-            sr.set_tid(base_table_id);
-            sr.set_pid(1);
-            sr.set_pk(key);
-            sr.set_st(100);
-            sr.set_et(0);
-            ::openmldb::api::ScanResponse srp;
-            tablet.Scan(NULL, &sr, &srp, &closure);
-            ASSERT_EQ(0, srp.code());
-            ASSERT_EQ(100, (signed)srp.count());
+            auto result = ScanFromTablet(base_table_id, 1, key, "", 100, 0, &tablet);
+            ASSERT_EQ(0, result.first);
+            ASSERT_EQ(100, result.second);
         }
 
         // check the pre-aggr table
         for (int32_t k = 1; k <= 2; k++) {
             std::string key = absl::StrCat("id", k);
-            ::openmldb::api::ScanRequest sr;
-            sr.set_tid(aggr_table_id);
-            sr.set_pid(1);
-            sr.set_pk(key);
-            sr.set_st(100);
-            sr.set_et(0);
-            ::openmldb::api::ScanResponse srp;
-            tablet.Scan(NULL, &sr, &srp, &closure);
-            ASSERT_EQ(0, srp.code());
-            ASSERT_EQ(49, (signed)srp.count());
+            auto result = ScanFromTablet(aggr_table_id, 1, key, "", 100, 0, &tablet);
+            ASSERT_EQ(0, result.first);
+            ASSERT_EQ(49, result.second);
 
             auto aggrs = tablet.GetAggregators(base_table_id, 1);
             ASSERT_EQ(aggrs->size(), 1);
@@ -5892,44 +5874,26 @@ TEST_F(TabletImplTest, AggregatorDeleteKey) {
 
         for (int32_t k = 1; k <= 2; k++) {
             std::string key = absl::StrCat("id", k);
-            ::openmldb::api::ScanRequest sr;
-            sr.set_tid(base_table_id);
-            sr.set_pid(1);
-            sr.set_pk(key);
-            sr.set_st(100);
-            sr.set_et(0);
-            ::openmldb::api::ScanResponse srp;
-            tablet.Scan(NULL, &sr, &srp, &closure);
-            ASSERT_EQ(0, srp.code());
-            ASSERT_EQ(k == 1 ? 0 : 100, (signed)srp.count());
+            auto result = ScanFromTablet(base_table_id, 1, key, "", 100, 0, &tablet);
+            ASSERT_EQ(0, result.first);
+            ASSERT_EQ(k == 1 ? 0 : 100, result.second);
         }
 
         // check the pre-aggr table
         for (int32_t k = 1; k <= 2; k++) {
             std::string key = absl::StrCat("id", k);
-            ::openmldb::api::ScanRequest sr;
-            sr.set_tid(aggr_table_id);
-            sr.set_pid(1);
-            sr.set_pk(key);
-            sr.set_st(100);
-            sr.set_et(0);
-            ::openmldb::api::ScanResponse srp;
-            tablet.Scan(NULL, &sr, &srp, &closure);
-            ASSERT_EQ(0, srp.code());
+            auto result = ScanFromTablet(aggr_table_id, 1, key, "", 100, 0, &tablet);
+            ASSERT_EQ(0, result.first);
+            auto aggrs = tablet.GetAggregators(base_table_id, 1);
+            ASSERT_EQ(aggrs->size(), 1);
+            auto aggr = aggrs->at(0);
+            ::openmldb::storage::AggrBuffer* aggr_buffer = nullptr;
             if (k == 1) {
-                ASSERT_EQ(0, (signed)srp.count());
-                auto aggrs = tablet.GetAggregators(base_table_id, 1);
-                ASSERT_EQ(aggrs->size(), 1);
-                auto aggr = aggrs->at(0);
-                ::openmldb::storage::AggrBuffer* aggr_buffer = nullptr;
+                ASSERT_EQ(0, result.second);
                 ASSERT_FALSE(aggr->GetAggrBuffer(key, &aggr_buffer));
                 ASSERT_EQ(nullptr, aggr_buffer);
             } else {
-                ASSERT_EQ(49, (signed)srp.count());
-                auto aggrs = tablet.GetAggregators(base_table_id, 1);
-                ASSERT_EQ(aggrs->size(), 1);
-                auto aggr = aggrs->at(0);
-                ::openmldb::storage::AggrBuffer* aggr_buffer;
+                ASSERT_EQ(49, result.second);
                 aggr->GetAggrBuffer(key, &aggr_buffer);
                 ASSERT_EQ(aggr_buffer->aggr_cnt_, 2);
                 ASSERT_EQ(aggr_buffer->aggr_val_.vlong, 199);
@@ -5964,44 +5928,26 @@ TEST_F(TabletImplTest, AggregatorDeleteKey) {
 
         for (int32_t k = 1; k <= 2; k++) {
             std::string key = absl::StrCat("id", k);
-            ::openmldb::api::ScanRequest sr;
-            sr.set_tid(base_table_id);
-            sr.set_pid(1);
-            sr.set_pk(key);
-            sr.set_st(100);
-            sr.set_et(0);
-            ::openmldb::api::ScanResponse srp;
-            tablet.Scan(NULL, &sr, &srp, &closure);
-            ASSERT_EQ(0, srp.code());
-            ASSERT_EQ(k == 1 ? 0 : 100, (signed)srp.count());
+            auto result = ScanFromTablet(base_table_id, 1, key, "", 100, 0, &tablet);
+            ASSERT_EQ(0, result.first);
+            ASSERT_EQ(k == 1 ? 0 : 100, result.second);
         }
 
         // check the pre-aggr table
         for (int32_t k = 1; k <= 2; k++) {
             std::string key = absl::StrCat("id", k);
-            ::openmldb::api::ScanRequest sr;
-            sr.set_tid(aggr_table_id);
-            sr.set_pid(1);
-            sr.set_pk(key);
-            sr.set_st(100);
-            sr.set_et(0);
-            ::openmldb::api::ScanResponse srp;
-            tablet.Scan(NULL, &sr, &srp, &closure);
-            ASSERT_EQ(0, srp.code());
+            auto result = ScanFromTablet(aggr_table_id, 1, key, "", 100, 0, &tablet);
+            ASSERT_EQ(0, result.first);
+            auto aggrs = tablet.GetAggregators(base_table_id, 1);
+            ASSERT_EQ(aggrs->size(), 1);
+            auto aggr = aggrs->at(0);
+            ::openmldb::storage::AggrBuffer* aggr_buffer = nullptr;
             if (k == 1) {
-                ASSERT_EQ(0, (signed)srp.count());
-                auto aggrs = tablet.GetAggregators(base_table_id, 1);
-                ASSERT_EQ(aggrs->size(), 1);
-                auto aggr = aggrs->at(0);
-                ::openmldb::storage::AggrBuffer* aggr_buffer = nullptr;
+                ASSERT_EQ(0, result.second) << "scan key is " << key << " tid " << aggr_table_id;
                 ASSERT_FALSE(aggr->GetAggrBuffer(key, &aggr_buffer));
                 ASSERT_EQ(nullptr, aggr_buffer);
             } else {
-                ASSERT_EQ(49, (signed)srp.count());
-                auto aggrs = tablet.GetAggregators(base_table_id, 1);
-                ASSERT_EQ(aggrs->size(), 1);
-                auto aggr = aggrs->at(0);
-                ::openmldb::storage::AggrBuffer* aggr_buffer;
+                ASSERT_EQ(49, result.second);
                 aggr->GetAggrBuffer(key, &aggr_buffer);
                 ASSERT_EQ(aggr_buffer->aggr_cnt_, 2);
                 ASSERT_EQ(aggr_buffer->aggr_val_.vlong, 199);
@@ -6011,6 +5957,303 @@ TEST_F(TabletImplTest, AggregatorDeleteKey) {
     }
 }
 
+struct DeleteInputParm {
+    DeleteInputParm() = default;
+    DeleteInputParm(const std::string& pk, const std::optional<uint64_t>& start_ts_i,
+            const std::optional<uint64_t>& end_ts_i) : key(pk), start_ts(start_ts_i), end_ts(end_ts_i) {}
+    std::string key;
+    std::optional<uint64_t> start_ts = std::nullopt;
+    std::optional<uint64_t> end_ts = std::nullopt;
+};
+
+struct DeleteExpectParm {
+    DeleteExpectParm() = default;
+    DeleteExpectParm(uint64_t base_t_cnt, uint64_t agg_t_cnt, uint64_t agg_cnt, uint64_t value, uint64_t t_value) :
+        base_table_cnt(base_t_cnt), aggr_table_cnt(agg_t_cnt), aggr_cnt(agg_cnt),
+        aggr_buffer_value(value), aggr_table_value(t_value) {}
+    uint64_t base_table_cnt = 0;
+    uint64_t aggr_table_cnt = 0;
+    uint32_t aggr_cnt = 0;
+    uint64_t aggr_buffer_value = 0;
+    uint64_t aggr_table_value = 0;
+};
+
+struct DeleteParm {
+    DeleteParm(const DeleteInputParm& input_p, const DeleteExpectParm& expect_p) : input(input_p), expect(expect_p) {}
+    DeleteInputParm input;
+    DeleteExpectParm expect;
+};
+
+class AggregatorDeleteTest : public ::testing::TestWithParam<DeleteParm> {};
+
+TEST_P(AggregatorDeleteTest, AggregatorDeleteRange) {
+    uint32_t aggr_table_id = 0;
+    uint32_t base_table_id = 0;
+    const auto& parm = GetParam();
+    TabletImpl tablet;
+    tablet.Init("");
+    ::openmldb::api::TableMeta base_table_meta;
+    // base table
+    uint32_t id = counter++;
+    base_table_id = id;
+    ::openmldb::api::CreateTableRequest request;
+    ::openmldb::api::TableMeta* table_meta = request.mutable_table_meta();
+    table_meta->set_tid(id);
+    AddDefaultAggregatorBaseSchema(table_meta);
+    base_table_meta.CopyFrom(*table_meta);
+    ::openmldb::api::CreateTableResponse response;
+    MockClosure closure;
+    tablet.CreateTable(NULL, &request, &response, &closure);
+    ASSERT_EQ(0, response.code());
+
+    // pre aggr table
+    id = counter++;
+    aggr_table_id = id;
+    ::openmldb::api::TableMeta agg_table_meta;
+    table_meta = request.mutable_table_meta();
+    table_meta->Clear();
+    table_meta->set_tid(id);
+    AddDefaultAggregatorSchema(table_meta);
+    agg_table_meta.CopyFrom(*table_meta);
+    tablet.CreateTable(NULL, &request, &response, &closure);
+    ASSERT_EQ(0, response.code());
+
+    // create aggr
+    ::openmldb::api::CreateAggregatorRequest aggr_request;
+    table_meta = aggr_request.mutable_base_table_meta();
+    table_meta->CopyFrom(base_table_meta);
+    aggr_request.set_aggr_table_tid(aggr_table_id);
+    aggr_request.set_aggr_table_pid(1);
+    aggr_request.set_aggr_col("col3");
+    aggr_request.set_aggr_func("sum");
+    aggr_request.set_index_pos(0);
+    aggr_request.set_order_by_col("ts_col");
+    aggr_request.set_bucket_size("5");
+    ::openmldb::api::CreateAggregatorResponse aggr_response;
+    tablet.CreateAggregator(NULL, &aggr_request, &aggr_response, &closure);
+    ASSERT_EQ(0, response.code());
+
+    // put data to base table
+    for (int32_t k = 1; k <= 2; k++) {
+        std::string key = absl::StrCat("id", k);
+        for (int32_t i = 1; i <= 100; i++) {
+            ::openmldb::api::PutRequest prequest;
+            ::openmldb::test::SetDimension(0, key, prequest.add_dimensions());
+            prequest.set_time(i);
+            prequest.set_value(EncodeAggrRow("id1", i, i));
+            prequest.set_tid(base_table_id);
+            prequest.set_pid(1);
+            ::openmldb::api::PutResponse presponse;
+            MockClosure closure;
+            tablet.Put(NULL, &prequest, &presponse, &closure);
+            ASSERT_EQ(0, presponse.code());
+        }
+    }
+
+    // check the base table
+    for (int32_t k = 1; k <= 2; k++) {
+        std::string key = absl::StrCat("id", k);
+        auto result = ScanFromTablet(base_table_id, 1, key, "", 100, 0, &tablet);
+        ASSERT_EQ(0, result.first);
+        ASSERT_EQ(100, result.second);
+    }
+
+    // check the pre-aggr table
+    for (int32_t k = 1; k <= 2; k++) {
+        std::string key = absl::StrCat("id", k);
+        auto result = ScanFromTablet(aggr_table_id, 1, key, "", 100, 0, &tablet);
+        ASSERT_EQ(0, result.first);
+        ASSERT_EQ(19, result.second);
+
+        auto aggrs = tablet.GetAggregators(base_table_id, 1);
+        ASSERT_EQ(aggrs->size(), 1);
+        auto aggr = aggrs->at(0);
+        ::openmldb::storage::AggrBuffer* aggr_buffer;
+        aggr->GetAggrBuffer(key, &aggr_buffer);
+        ASSERT_EQ(aggr_buffer->aggr_cnt_, 5);
+        ASSERT_EQ(aggr_buffer->aggr_val_.vlong, 490);
+        ASSERT_EQ(aggr_buffer->binlog_offset_, 100 * k);
+    }
+
+    // delete key id1
+    ::openmldb::api::DeleteRequest dr;
+    ::openmldb::api::GeneralResponse res;
+    dr.set_tid(base_table_id);
+    dr.set_pid(1);
+    auto dim = dr.add_dimensions();
+    dim->set_idx(0);
+    dim->set_key(parm.input.key);
+    if (parm.input.start_ts.has_value()) {
+        dr.set_ts(parm.input.start_ts.value());
+    }
+    if (parm.input.end_ts.has_value()) {
+        dr.set_end_ts(parm.input.end_ts.value());
+    }
+    tablet.Delete(NULL, &dr, &res, &closure);
+    ASSERT_EQ(0, res.code());
+
+    for (int32_t k = 1; k <= 2; k++) {
+        std::string key = absl::StrCat("id", k);
+        auto result = ScanFromTablet(base_table_id, 1, key, "", 100, 0, &tablet);
+        ASSERT_EQ(0, result.first);
+        if (k == 1) {
+            ASSERT_EQ(result.second, parm.expect.base_table_cnt);
+        } else {
+            ASSERT_EQ(result.second, 100);
+        }
+    }
+
+    // check the pre-aggr table
+    for (int32_t k = 1; k <= 2; k++) {
+        std::string key = absl::StrCat("id", k);
+        auto result = ScanFromTablet(aggr_table_id, 1, key, "", 100, 0, &tablet);
+        ASSERT_EQ(0, result.first);
+        auto aggrs = tablet.GetAggregators(base_table_id, 1);
+        ASSERT_EQ(aggrs->size(), 1);
+        auto aggr = aggrs->at(0);
+        ::openmldb::storage::AggrBuffer* aggr_buffer = nullptr;
+        if (k == 1) {
+            ASSERT_EQ(result.second, parm.expect.aggr_table_cnt);
+            ASSERT_TRUE(aggr->GetAggrBuffer(key, &aggr_buffer));
+            ASSERT_EQ(aggr_buffer->aggr_cnt_, parm.expect.aggr_cnt);
+            ASSERT_EQ(aggr_buffer->aggr_val_.vlong, parm.expect.aggr_buffer_value);
+        } else {
+            ASSERT_EQ(19, result.second);
+            aggr->GetAggrBuffer(key, &aggr_buffer);
+            ASSERT_EQ(aggr_buffer->aggr_cnt_, 5);
+            ASSERT_EQ(aggr_buffer->aggr_val_.vlong, 490);
+            ASSERT_EQ(aggr_buffer->binlog_offset_, 100 * k);
+        }
+    }
+    for (int i = 1; i <= 2; i++) {
+        std::string key = absl::StrCat("id", i);
+        ::openmldb::api::ScanRequest sr;
+        sr.set_tid(aggr_table_id);
+        sr.set_pid(1);
+        sr.set_pk(key);
+        sr.set_st(100);
+        sr.set_et(0);
+        std::shared_ptr<::openmldb::api::ScanResponse> srp = std::make_shared<::openmldb::api::ScanResponse>();
+        tablet.Scan(nullptr, &sr, srp.get(), &closure);
+        ASSERT_EQ(0, srp->code());
+
+        ::openmldb::base::ScanKvIterator kv_it(key, srp);
+        codec::RowView row_view(agg_table_meta.column_desc());
+        uint64_t last_k = 0;
+        int64_t total_val = 0;
+        while (kv_it.Valid()) {
+            uint64_t k = kv_it.GetKey();
+            if (last_k != k) {
+                const int8_t* row_ptr = reinterpret_cast<const int8_t*>(kv_it.GetValue().data());
+                char* aggr_val = nullptr;
+                uint32_t ch_length = 0;
+                ASSERT_EQ(row_view.GetValue(row_ptr, 4, &aggr_val, &ch_length), 0);
+                int64_t val = *reinterpret_cast<int64_t*>(aggr_val);
+                total_val += val;
+                last_k = k;
+            }
+            kv_it.Next();
+        }
+        if (i == 1) {
+            ASSERT_EQ(total_val, parm.expect.aggr_table_value);
+        } else {
+            ASSERT_EQ(total_val, 4560);
+        }
+    }
+}
+
+// [st, et]
+uint64_t ComputeAgg(uint64_t st, uint64_t et) {
+    uint64_t val = 0;
+    for (auto i = st; i <= et; i++) {
+        val += i;
+    }
+    return val;
+}
+
+std::vector<DeleteParm> delete_cases = {
+    /*0*/ DeleteParm(DeleteInputParm("id1", std::nullopt, 200),
+            DeleteExpectParm(100, 19, 5, ComputeAgg(96, 100), ComputeAgg(1, 95))),
+    /*1*/ DeleteParm(DeleteInputParm("id1", std::nullopt, 100),
+            DeleteExpectParm(100, 19, 5, ComputeAgg(96, 100), ComputeAgg(1, 95))),
+    /*2*/ DeleteParm(DeleteInputParm("id1", 200, 100),
+            DeleteExpectParm(100, 19, 5, ComputeAgg(96, 100), ComputeAgg(1, 95))),
+    /*3*/ DeleteParm(DeleteInputParm("id1", 200, 99),
+            DeleteExpectParm(99, 19, 4, ComputeAgg(96, 99), ComputeAgg(1, 95))),
+    /*4*/ DeleteParm(DeleteInputParm("id1", 200, 98),
+            DeleteExpectParm(98, 19, 3, ComputeAgg(96, 98), ComputeAgg(1, 95))),
+    /*5*/ DeleteParm(DeleteInputParm("id1", 99, 97),
+            DeleteExpectParm(98, 19, 3, 100 + 96 + 97, ComputeAgg(1, 95))),
+    /*6*/ DeleteParm(DeleteInputParm("id1", 98, 96),
+            DeleteExpectParm(98, 19, 3, 100 + 99 + 96, ComputeAgg(1, 95))),
+    /*7*/ DeleteParm(DeleteInputParm("id1", 98, 95),
+            DeleteExpectParm(97, 19, 2, 100 + 99, ComputeAgg(1, 95))),
+    /*8*/ DeleteParm(DeleteInputParm("id1", 95, 94),
+            DeleteExpectParm(99, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 94))),
+    /*9*/ DeleteParm(DeleteInputParm("id1", 95, 91),
+            DeleteExpectParm(96, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 91))),
+    /*10*/ DeleteParm(DeleteInputParm("id1", 95, 90),
+            DeleteExpectParm(95, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 90))),
+    /*11*/ DeleteParm(DeleteInputParm("id1", 95, 89),
+            DeleteExpectParm(94, 21, 5, ComputeAgg(96, 100), ComputeAgg(1, 89))),
+    /*12*/ DeleteParm(DeleteInputParm("id1", 95, 86),
+            DeleteExpectParm(91, 21, 5, ComputeAgg(96, 100), ComputeAgg(1, 86))),
+    /*13*/ DeleteParm(DeleteInputParm("id1", 95, 85),
+            DeleteExpectParm(90, 19, 5, ComputeAgg(96, 100), ComputeAgg(1, 85))),
+    /*14*/ DeleteParm(DeleteInputParm("id1", 95, 84),
+            DeleteExpectParm(89, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 84))),
+    /*15*/ DeleteParm(DeleteInputParm("id1", 95, 81),
+            DeleteExpectParm(86, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 81))),
+    /*16*/ DeleteParm(DeleteInputParm("id1", 95, 80),
+            DeleteExpectParm(85, 18, 5, ComputeAgg(96, 100), ComputeAgg(1, 80))),
+    /*17*/ DeleteParm(DeleteInputParm("id1", 95, 79),
+            DeleteExpectParm(84, 19, 5, ComputeAgg(96, 100), ComputeAgg(1, 79))),
+    /*18*/ DeleteParm(DeleteInputParm("id1", 78, 76),
+            DeleteExpectParm(98, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 95) - 78 - 77)),
+    /*19*/ DeleteParm(DeleteInputParm("id1", 80, 75),
+            DeleteExpectParm(95, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 95) - ComputeAgg(76, 80))),
+    /*20*/ DeleteParm(DeleteInputParm("id1", 80, 74),
+            DeleteExpectParm(94, 21, 5, ComputeAgg(96, 100), ComputeAgg(1, 95) - ComputeAgg(75, 80))),
+    /*21*/ DeleteParm(DeleteInputParm("id1", 80, 68),
+            DeleteExpectParm(88, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 68) + ComputeAgg(81, 95))),
+    /*22*/ DeleteParm(DeleteInputParm("id1", 80, 58),
+            DeleteExpectParm(78, 18, 5, ComputeAgg(96, 100), ComputeAgg(1, 58) + ComputeAgg(81, 95))),
+    /*23*/ DeleteParm(DeleteInputParm("id1", 100, 94), DeleteExpectParm(94, 20, 0, 0, ComputeAgg(1, 94))),
+    /*24*/ DeleteParm(DeleteInputParm("id1", 100, 91), DeleteExpectParm(91, 20, 0, 0, ComputeAgg(1, 91))),
+    /*25*/ DeleteParm(DeleteInputParm("id1", 100, 90), DeleteExpectParm(90, 20, 0, 0, ComputeAgg(1, 90))),
+    /*26*/ DeleteParm(DeleteInputParm("id1", 100, 89), DeleteExpectParm(89, 21, 0, 0, ComputeAgg(1, 89))),
+    /*27*/ DeleteParm(DeleteInputParm("id1", 100, 85), DeleteExpectParm(85, 19, 0, 0, ComputeAgg(1, 85))),
+    /*28*/ DeleteParm(DeleteInputParm("id1", 100, 84), DeleteExpectParm(84, 20, 0, 0, ComputeAgg(1, 84))),
+    /*29*/ DeleteParm(DeleteInputParm("id1", 99, 84), DeleteExpectParm(85, 20, 1, 100, ComputeAgg(1, 84))),
+    /*30*/ DeleteParm(DeleteInputParm("id1", 96, 84),
+            DeleteExpectParm(88, 20, 4, ComputeAgg(97, 100), ComputeAgg(1, 84))),
+    /*31*/ DeleteParm(DeleteInputParm("id1", 2, 1),
+            DeleteExpectParm(99, 20, 5, ComputeAgg(96, 100), ComputeAgg(1, 95) - 2)),
+    /*32*/ DeleteParm(DeleteInputParm("id1", 2, std::nullopt),
+            DeleteExpectParm(98, 20, 5, ComputeAgg(96, 100), ComputeAgg(3, 95))),
+    /*33*/ DeleteParm(DeleteInputParm("id1", 5, std::nullopt),
+            DeleteExpectParm(95, 20, 5, ComputeAgg(96, 100), ComputeAgg(6, 95))),
+    /*34*/ DeleteParm(DeleteInputParm("id1", 6, std::nullopt),
+            DeleteExpectParm(94, 19, 5, ComputeAgg(96, 100), ComputeAgg(7, 95))),
+    /*35*/ DeleteParm(DeleteInputParm("id1", 6, 0),
+            DeleteExpectParm(94, 19, 5, ComputeAgg(96, 100), ComputeAgg(7, 95))),
+    /*36*/ DeleteParm(DeleteInputParm("id1", 6, 1),
+            DeleteExpectParm(95, 21, 5, ComputeAgg(96, 100), ComputeAgg(7, 95) + 1)),
+    /*37*/ DeleteParm(DeleteInputParm("id1", 10, 1),
+            DeleteExpectParm(91, 21, 5, ComputeAgg(96, 100), ComputeAgg(11, 95) + 1)),
+    /*38*/ DeleteParm(DeleteInputParm("id1", 11, 1),
+            DeleteExpectParm(90, 20, 5, ComputeAgg(96, 100), ComputeAgg(12, 95) + 1)),
+    /*39*/ DeleteParm(DeleteInputParm("id1", 11, 0),
+            DeleteExpectParm(89, 18, 5, ComputeAgg(96, 100), ComputeAgg(12, 95))),
+    /*40*/ DeleteParm(DeleteInputParm("id1", 11, std::nullopt),
+            DeleteExpectParm(89, 18, 5, ComputeAgg(96, 100), ComputeAgg(12, 95))),
+    /*41*/ DeleteParm(DeleteInputParm("id1", 100, std::nullopt), DeleteExpectParm(0, 2, 0, 0, 0)),
+    /*42*/ DeleteParm(DeleteInputParm("id1", 100, 0), DeleteExpectParm(0, 2, 0, 0, 0)),
+    /*43*/ DeleteParm(DeleteInputParm("id1", std::nullopt, 0), DeleteExpectParm(0, 2, 0, 0, 0)),
+};
+
+INSTANTIATE_TEST_SUITE_P(AggregatorTest, AggregatorDeleteTest, testing::ValuesIn(delete_cases));
+
 TEST_F(TabletImplTest, DeleteRange) {
     uint32_t id = counter++;
     MockClosure closure;

From aa8e756cf20aae7dfd598b8b97f39ed458d3bfa7 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Wed, 15 Nov 2023 09:41:52 +0800
Subject: [PATCH 20/27] feat: add insert benchmark (#3528)

---
 benchmark/pom.xml                             |   4 +-
 .../openmldb/benchmark/BenchmarkConfig.java   |   2 +
 .../benchmark/OpenMLDBInsertBenchmark.java    | 131 ++++++++++++++++++
 benchmark/src/main/resources/conf.properties  |   6 +-
 4 files changed, 139 insertions(+), 4 deletions(-)
 create mode 100644 benchmark/src/main/java/com/_4paradigm/openmldb/benchmark/OpenMLDBInsertBenchmark.java

diff --git a/benchmark/pom.xml b/benchmark/pom.xml
index d1d7b99c916..572aec4d282 100644
--- a/benchmark/pom.xml
+++ b/benchmark/pom.xml
@@ -27,12 +27,12 @@ xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xs
         <dependency>
             <groupId>com.4paradigm.openmldb</groupId>
             <artifactId>openmldb-jdbc</artifactId>
-            <version>0.7.0</version>
+            <version>0.8.3</version>
         </dependency>
         <dependency>
             <groupId>com.4paradigm.openmldb</groupId>
             <artifactId>openmldb-native</artifactId>
-            <version>0.7.0-allinone</version>
+            <version>0.8.3-allinone</version>
         </dependency>
         <dependency>
             <groupId>org.slf4j</groupId>
diff --git a/benchmark/src/main/java/com/_4paradigm/openmldb/benchmark/BenchmarkConfig.java b/benchmark/src/main/java/com/_4paradigm/openmldb/benchmark/BenchmarkConfig.java
index c6546cadc5d..4f9861cbda2 100644
--- a/benchmark/src/main/java/com/_4paradigm/openmldb/benchmark/BenchmarkConfig.java
+++ b/benchmark/src/main/java/com/_4paradigm/openmldb/benchmark/BenchmarkConfig.java
@@ -34,6 +34,7 @@ public class BenchmarkConfig {
     public static long TS_BASE = System.currentTimeMillis();
     public static String DEPLOY_NAME;
     public static String CSV_PATH;
+    public static int PUT_BACH_SIZE = 1;
 
     private static SqlExecutor executor = null;
     private static SdkOption option = null;
@@ -58,6 +59,7 @@ public class BenchmarkConfig {
 //            if(!CSV_PATH.startsWith("/")){
 //                CSV_PATH=Util.getRootPath()+CSV_PATH;
 //            }
+            PUT_BACH_SIZE = Integer.valueOf(prop.getProperty("PUT_BACH_SIZE", "1"));
         } catch (Exception e) {
             e.printStackTrace();
         }
diff --git a/benchmark/src/main/java/com/_4paradigm/openmldb/benchmark/OpenMLDBInsertBenchmark.java b/benchmark/src/main/java/com/_4paradigm/openmldb/benchmark/OpenMLDBInsertBenchmark.java
new file mode 100644
index 00000000000..a856d46ecfd
--- /dev/null
+++ b/benchmark/src/main/java/com/_4paradigm/openmldb/benchmark/OpenMLDBInsertBenchmark.java
@@ -0,0 +1,131 @@
+package com._4paradigm.openmldb.benchmark;
+
+import com._4paradigm.openmldb.sdk.SqlExecutor;
+import org.openjdk.jmh.annotations.*;
+import org.openjdk.jmh.runner.Runner;
+import org.openjdk.jmh.runner.options.Options;
+import org.openjdk.jmh.runner.options.OptionsBuilder;
+
+import java.sql.Timestamp;
+import java.util.Random;
+import java.util.concurrent.TimeUnit;
+
+@BenchmarkMode(Mode.SampleTime)
+@OutputTimeUnit(TimeUnit.MICROSECONDS)
+@State(Scope.Benchmark)
+@Threads(10)
+@Fork(value = 1, jvmArgs = {"-Xms8G", "-Xmx8G"})
+@Warmup(iterations = 2)
+@Measurement(iterations = 5, time = 60)
+
+public class OpenMLDBInsertBenchmark {
+    private SqlExecutor executor;
+    private String database = "test_put_db";
+    private String tableName = "test_put_t1";
+    private int indexNum;
+    private String placeholderSQL;
+    private Random random;
+    int stringNum = 15;
+    int doubleNum= 5;
+    int timestampNum = 5;
+    int bigintNum = 5;
+
+    public OpenMLDBInsertBenchmark() {
+        executor = BenchmarkConfig.GetSqlExecutor(false);
+        indexNum = BenchmarkConfig.WINDOW_NUM;
+        random = new Random();
+        StringBuilder builder = new StringBuilder();
+        builder.append("insert into ");
+        builder.append(tableName);
+        builder.append(" values (");
+        for (int i = 0; i < stringNum + doubleNum + timestampNum + bigintNum; i++) {
+            if (i > 0) {
+                builder.append(", ");
+            }
+            builder.append("?");
+        }
+        builder.append(");");
+        placeholderSQL = builder.toString();
+    }
+
+    @Setup
+    public void initEnv() {
+        Util.executeSQL("CREATE DATABASE IF NOT EXISTS " + database + ";", executor);
+        Util.executeSQL("USE " + database + ";", executor);
+        String ddl = Util.genDDL(tableName, indexNum);
+        Util.executeSQL(ddl, executor);
+    }
+
+    @Benchmark
+    public void executePut() {
+        java.sql.PreparedStatement pstmt = null;
+        try {
+            pstmt = executor.getInsertPreparedStmt(database, placeholderSQL);
+            for (int num = 0; num < BenchmarkConfig.PUT_BACH_SIZE; num++) {
+                int idx = 1;
+                for (int i = 0; i < stringNum; i++) {
+                    if (i < indexNum) {
+                        pstmt.setString(idx, String.valueOf(BenchmarkConfig.PK_BASE + random.nextInt(BenchmarkConfig.PK_NUM)));
+                    } else {
+                        pstmt.setString(idx, "v" + String.valueOf(100000 + random.nextInt(100000)));
+                    }
+                    idx++;
+                }
+                for (int i = 0; i < doubleNum; i++) {
+                    pstmt.setDouble(idx, random.nextDouble());
+                    idx++;
+                }
+                for (int i = 0; i < timestampNum; i++) {
+                    pstmt.setTimestamp(idx, new Timestamp(System.currentTimeMillis()));
+                    idx++;
+                }
+                for (int i = 0; i < bigintNum; i++) {
+                    pstmt.setLong(idx, random.nextLong());
+                    idx++;
+                }
+                if (BenchmarkConfig.PUT_BACH_SIZE > 1) {
+                    pstmt.addBatch();
+                }
+            }
+            if (BenchmarkConfig.PUT_BACH_SIZE > 1) {
+                pstmt.executeBatch();
+            } else {
+                pstmt.execute();
+            }
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            if (pstmt != null) {
+                try {
+                    pstmt.close();
+                } catch (Exception e) {
+                    e.printStackTrace();
+                }
+            }
+        }
+    }
+
+    @TearDown
+    public void cleanEnv() {
+        Util.executeSQL("USE " + database + ";", executor);
+        Util.executeSQL("DROP TABLE " + tableName + ";", executor);
+        Util.executeSQL("DROP DATABASE " + database + ";", executor);
+    }
+
+    public static void main(String[] args) {
+       /* OpenMLDBPutBenchmark benchmark = new OpenMLDBPutBenchmark();
+        benchmark.initEnv();
+        benchmark.executePut();
+        benchmark.cleanEnv();*/
+
+        try {
+            Options opt = new OptionsBuilder()
+                    .include(OpenMLDBInsertBenchmark.class.getSimpleName())
+                    .forks(1)
+                    .build();
+            new Runner(opt).run();
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+    }
+}
diff --git a/benchmark/src/main/resources/conf.properties b/benchmark/src/main/resources/conf.properties
index bf3d22a4310..bcde106ed08 100644
--- a/benchmark/src/main/resources/conf.properties
+++ b/benchmark/src/main/resources/conf.properties
@@ -1,5 +1,5 @@
-ZK_CLUSTER=172.24.4.55:30008
-ZK_PATH=/openmldb
+ZK_CLUSTER=172.24.4.55:32200
+ZK_PATH=/openmldb_test
 
 WINDOW_NUM=2
 WINDOW_SIZE=1000
@@ -12,3 +12,5 @@ PK_BASE=1000000
 DATABASE=bank_perf
 DEPLOY_NAME=deploy_bank
 CSV_PATH=data/bank_flattenRequest.csv
+
+PUT_BACH_SIZE=100
\ No newline at end of file

From bb6bc092450488735d603fa629d1b9ccaa8db586 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Wed, 15 Nov 2023 09:47:25 +0800
Subject: [PATCH 21/27] fix: fix gc coredump (#3561)

---
 src/storage/mem_table.cc     | 36 +++++++++---------
 src/storage/snapshot_test.cc | 73 ++++++++++++++++++++++++++++++++++++
 2 files changed, 90 insertions(+), 19 deletions(-)

diff --git a/src/storage/mem_table.cc b/src/storage/mem_table.cc
index 83cded915a3..4d085120c06 100644
--- a/src/storage/mem_table.cc
+++ b/src/storage/mem_table.cc
@@ -170,14 +170,18 @@ bool MemTable::Put(uint64_t time, const std::string& value, const Dimensions& di
         PDLOG(WARNING, "invalid schema version %u, tid %u pid %u", version, id_, pid_);
         return false;
     }
-    std::map<int32_t, uint64_t> ts_map;
+    std::map<uint32_t, std::map<int32_t, uint64_t>> ts_value_map;
     for (const auto& kv : inner_index_key_map) {
         auto inner_index = table_index_.GetInnerIndex(kv.first);
         if (!inner_index) {
             PDLOG(WARNING, "invalid inner index pos %d. tid %u pid %u", kv.first, id_, pid_);
             return false;
         }
+        std::map<int32_t, uint64_t> ts_map;
         for (const auto& index_def : inner_index->GetIndex()) {
+            if (!index_def->IsReady()) {
+                continue;
+            }
             auto ts_col = index_def->GetTsColumn();
             if (ts_col) {
                 int64_t ts = 0;
@@ -192,34 +196,28 @@ bool MemTable::Put(uint64_t time, const std::string& value, const Dimensions& di
                     return false;
                 }
                 ts_map.emplace(ts_col->GetId(), ts);
-            }
-            if (index_def->IsReady()) {
                 real_ref_cnt++;
             }
         }
+        if (!ts_map.empty()) {
+            ts_value_map.emplace(kv.first, std::move(ts_map));
+        }
     }
-    if (ts_map.empty()) {
+    if (ts_value_map.empty()) {
         return false;
     }
     auto* block = new DataBlock(real_ref_cnt, value.c_str(), value.length());
     for (const auto& kv : inner_index_key_map) {
-        auto inner_index = table_index_.GetInnerIndex(kv.first);
-        bool need_put = false;
-        for (const auto& index_def : inner_index->GetIndex()) {
-            if (index_def->IsReady()) {
-                // TODO(hw): if we don't find this ts(has_found_ts==false), but it's ready, will put too?
-                need_put = true;
-                break;
-            }
+        auto iter = ts_value_map.find(kv.first);
+        if (iter == ts_value_map.end()) {
+            continue;
         }
-        if (need_put) {
-            uint32_t seg_idx = 0;
-            if (seg_cnt_ > 1) {
-                seg_idx = ::openmldb::base::hash(kv.second.data(), kv.second.size(), SEED) % seg_cnt_;
-            }
-            Segment* segment = segments_[kv.first][seg_idx];
-            segment->Put(::openmldb::base::Slice(kv.second), ts_map, block);
+        uint32_t seg_idx = 0;
+        if (seg_cnt_ > 1) {
+            seg_idx = ::openmldb::base::hash(kv.second.data(), kv.second.size(), SEED) % seg_cnt_;
         }
+        Segment* segment = segments_[kv.first][seg_idx];
+        segment->Put(::openmldb::base::Slice(kv.second), iter->second, block);
     }
     record_byte_size_.fetch_add(GetRecordSize(value.length()));
     return true;
diff --git a/src/storage/snapshot_test.cc b/src/storage/snapshot_test.cc
index bd1be720e8a..910a8bc7724 100644
--- a/src/storage/snapshot_test.cc
+++ b/src/storage/snapshot_test.cc
@@ -718,6 +718,79 @@ TEST_F(SnapshotTest, Recover_only_snapshot) {
     ASSERT_FALSE(it->Valid());
 }
 
+TEST_F(SnapshotTest, RecoverWithDeleteIndex) {
+    uint32_t tid = 12;
+    uint32_t pid = 0;
+    ::openmldb::api::TableMeta meta;
+    meta.set_tid(tid);
+    meta.set_pid(pid);
+    SchemaCodec::SetColumnDesc(meta.add_column_desc(), "userid", ::openmldb::type::kString);
+    SchemaCodec::SetColumnDesc(meta.add_column_desc(), "ts1", ::openmldb::type::kBigInt);
+    SchemaCodec::SetColumnDesc(meta.add_column_desc(), "ts2", ::openmldb::type::kBigInt);
+    SchemaCodec::SetColumnDesc(meta.add_column_desc(), "val", ::openmldb::type::kString);
+    SchemaCodec::SetIndex(meta.add_column_key(), "index1", "userid", "ts1", ::openmldb::type::kLatestTime, 0, 1);
+    SchemaCodec::SetIndex(meta.add_column_key(), "index2", "userid", "ts2", ::openmldb::type::kLatestTime, 0, 1);
+
+    std::string snapshot_dir = absl::StrCat(FLAGS_db_root_path, "/", tid, "_", pid, "/snapshot");
+
+    ::openmldb::base::MkdirRecur(snapshot_dir);
+    std::string snapshot1 = "20231018.sdb";
+    uint64_t offset = 0;
+    {
+        if (FLAGS_snapshot_compression != "off") {
+            snapshot1.append(".");
+            snapshot1.append(FLAGS_snapshot_compression);
+        }
+        std::string full_path = snapshot_dir + "/" + snapshot1;
+        FILE* fd_w = fopen(full_path.c_str(), "ab+");
+        ASSERT_TRUE(fd_w != NULL);
+        ::openmldb::log::WritableFile* wf = ::openmldb::log::NewWritableFile(snapshot1, fd_w);
+        ::openmldb::log::Writer writer(FLAGS_snapshot_compression, wf);
+        ::openmldb::codec::SDKCodec sdk_codec(meta);
+        for (int i = 0; i < 5; i++) {
+            uint32_t ts = 100 + i;
+            for (int key_num = 0; key_num < 10; key_num++) {
+                std::string userid = absl::StrCat("userid", key_num);
+                std::string ts_str = std::to_string(ts);
+                std::vector<std::string> row = {userid, ts_str, ts_str, "aa"};
+                std::string result;
+                sdk_codec.EncodeRow(row, &result);
+                ::openmldb::api::LogEntry entry;
+                entry.set_log_index(offset++);
+                entry.set_value(result);
+                for (int k = 0; k < meta.column_key_size(); k++) {
+                    auto dimension = entry.add_dimensions();
+                    dimension->set_key(userid);
+                    dimension->set_idx(k);
+                }
+                entry.set_ts(ts);
+                entry.set_term(1);
+                std::string val;
+                bool ok = entry.SerializeToString(&val);
+                ASSERT_TRUE(ok);
+                Slice sval(val.c_str(), val.size());
+                ::openmldb::log::Status status = writer.AddRecord(sval);
+                ASSERT_TRUE(status.ok());
+            }
+        }
+        writer.EndLog();
+    }
+
+    auto index1 = meta.mutable_column_key(1);
+    index1->set_flag(1);
+    std::shared_ptr<MemTable> table = std::make_shared<MemTable>(meta);
+    table->Init();
+    LogParts* log_part = new LogParts(12, 4, scmp);
+    MemTableSnapshot snapshot(tid, pid, log_part, FLAGS_db_root_path);
+    ASSERT_TRUE(snapshot.Init());
+    int ret = snapshot.GenManifest(snapshot1, 50, offset, 1);
+    ASSERT_EQ(0, ret);
+    uint64_t r_offset = 0;
+    ASSERT_TRUE(snapshot.Recover(table, r_offset));
+    ASSERT_EQ(r_offset, offset);
+    table->SchedGc();
+}
+
 TEST_F(SnapshotTest, MakeSnapshot) {
     LogParts* log_part = new LogParts(12, 4, scmp);
     MemTableSnapshot snapshot(1, 2, log_part, FLAGS_db_root_path);

From 125483b39281449c959801b436dda6859570a557 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Wed, 15 Nov 2023 10:09:29 +0800
Subject: [PATCH 22/27] feat: optimize insert in java sdk (#3525)

---
 .../common/codec/FlexibleRowBuilder.java      |   3 +
 java/openmldb-jdbc/pom.xml                    |   5 +
 .../openmldb/jdbc/SQLInsertMetaData.java      |  56 +-
 .../com/_4paradigm/openmldb/sdk/Common.java   |   8 +-
 .../_4paradigm/openmldb/sdk/QueryFuture.java  |   2 +
 .../_4paradigm/openmldb/sdk/SqlExecutor.java  |   3 +
 .../impl/InsertPreparedStatementCache.java    |  75 ++
 .../sdk/impl/InsertPreparedStatementImpl.java | 916 ++++--------------
 .../sdk/impl/InsertPreparedStatementMeta.java | 218 +++++
 .../openmldb/sdk/impl/SqlClusterExecutor.java |  24 +-
 .../openmldb/jdbc/JDBCDriverTest.java         |   1 -
 .../openmldb/jdbc/SQLRouterSmokeTest.java     |  22 +-
 src/base/hash.h                               |   8 +-
 src/client/tablet_client.cc                   |  19 +-
 src/client/tablet_client.h                    |   3 +
 src/sdk/sql_cluster_router.cc                 |  62 ++
 src/sdk/sql_cluster_router.h                  |   4 +
 src/sdk/sql_insert_row.h                      |  74 ++
 src/sdk/sql_router.h                          |   4 +
 src/sdk/sql_router_sdk.i                      |   2 +
 20 files changed, 749 insertions(+), 760 deletions(-)
 create mode 100644 java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementCache.java
 create mode 100644 java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementMeta.java

diff --git a/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/codec/FlexibleRowBuilder.java b/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/codec/FlexibleRowBuilder.java
index 5497237ce20..e9029fb7663 100644
--- a/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/codec/FlexibleRowBuilder.java
+++ b/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/codec/FlexibleRowBuilder.java
@@ -213,6 +213,9 @@ public boolean setNULL(int idx) {
         }
         Type.DataType type = metaData.getSchema().get(idx).getDataType();
         if (type == Type.DataType.kVarchar || type == Type.DataType.kString) {
+            if (settedValue.at(idx)) {
+                return false;
+            }
             if (idx != metaData.getStrIdxList().get(curStrIdx)) {
                 if (stringValueCache == null) {
                     stringValueCache = new TreeMap<>();
diff --git a/java/openmldb-jdbc/pom.xml b/java/openmldb-jdbc/pom.xml
index d98f248d811..5cb7936b908 100644
--- a/java/openmldb-jdbc/pom.xml
+++ b/java/openmldb-jdbc/pom.xml
@@ -61,6 +61,11 @@
             <artifactId>snappy-java</artifactId>
             <version>1.1.7.2</version>
         </dependency>
+        <dependency>
+            <groupId>com.github.ben-manes.caffeine</groupId>
+            <artifactId>caffeine</artifactId>
+            <version>2.9.3</version>
+        </dependency>
 
         <!-- https://mvnrepository.com/artifact/org.testng/testng -->
         <dependency>
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/jdbc/SQLInsertMetaData.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/jdbc/SQLInsertMetaData.java
index e4ccd903146..144c889c5b4 100644
--- a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/jdbc/SQLInsertMetaData.java
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/jdbc/SQLInsertMetaData.java
@@ -18,10 +18,7 @@
 
 import static com._4paradigm.openmldb.sdk.impl.Util.sqlTypeToString;
 
-import com._4paradigm.openmldb.DataType;
-import com._4paradigm.openmldb.Schema;
-import com._4paradigm.openmldb.common.Pair;
-import com._4paradigm.openmldb.sdk.Common;
+import com._4paradigm.openmldb.sdk.Schema;
 
 import java.sql.ResultSetMetaData;
 import java.sql.SQLException;
@@ -29,42 +26,26 @@
 
 public class SQLInsertMetaData implements ResultSetMetaData {
 
-    private final List<DataType> schema;
-    private final Schema realSchema;
-    private final List<Pair<Long, Integer>> idx;
+    private final Schema schema;
+    private final List<Integer> holeIdx;
 
-    public SQLInsertMetaData(List<DataType> schema,
-                             Schema realSchema,
-                             List<Pair<Long, Integer>> idx) {
+    public SQLInsertMetaData(Schema schema, List<Integer> holeIdx) {
         this.schema = schema;
-        this.realSchema = realSchema;
-        this.idx = idx;
+        this.holeIdx = holeIdx;
     }
 
-    private void checkSchemaNull() throws SQLException {
-        if (schema == null) {
-            throw new SQLException("schema is null");
-        }
-    }
-
-    private void checkIdx(int i) throws SQLException {
-        if (i <= 0) {
+    private void check(int i) throws SQLException {
+        if (i < 0) {
             throw new SQLException("index underflow");
         }
-        if (i > schema.size()) {
+        if (i >= holeIdx.size()) {
             throw new SQLException("index overflow");
         }
     }
 
-    public void check(int i) throws SQLException {
-        checkIdx(i);
-        checkSchemaNull();
-    }
-
     @Override
     public int getColumnCount() throws SQLException {
-        checkSchemaNull();
-        return schema.size();
+        return holeIdx.size();
     }
 
     @Override
@@ -93,9 +74,10 @@ public boolean isCurrency(int i) throws SQLException {
 
     @Override
     public int isNullable(int i) throws SQLException {
-        check(i);
-        Long index = idx.get(i - 1).getKey();
-        if (realSchema.IsColumnNotNull(index)) {
+        int realIdx = i - 1;
+        check(realIdx);
+        boolean nullable = schema.isNullable(holeIdx.get(realIdx));
+        if (!nullable) {
             return columnNoNulls;
         } else {
             return columnNullable;
@@ -122,9 +104,9 @@ public String getColumnLabel(int i) throws SQLException {
 
     @Override
     public String getColumnName(int i) throws SQLException {
-        check(i);
-        Long index = idx.get(i - 1).getKey();
-        return realSchema.GetColumnName(index);
+        int realIdx = i - 1;
+        check(realIdx);
+        return schema.getColumnName(holeIdx.get(realIdx));
     }
 
     @Override
@@ -159,9 +141,9 @@ public String getCatalogName(int i) throws SQLException {
 
     @Override
     public int getColumnType(int i) throws SQLException {
-        check(i);
-        Long index = idx.get(i - 1).getKey();
-        return Common.type2SqlType(realSchema.GetColumnType(index));
+        int realIdx = i - 1;
+        check(realIdx);
+        return schema.getColumnType(holeIdx.get(realIdx));
     }
 
     @Override
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/Common.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/Common.java
index 0c57cf26a5a..81f85482750 100644
--- a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/Common.java
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/Common.java
@@ -171,8 +171,12 @@ public static ProcedureInfo convertProcedureInfo(com._4paradigm.openmldb.Procedu
         spInfo.setDbName(procedureInfo.GetDbName());
         spInfo.setProName(procedureInfo.GetSpName());
         spInfo.setSql(procedureInfo.GetSql());
-        spInfo.setInputSchema(convertSchema(procedureInfo.GetInputSchema()));
-        spInfo.setOutputSchema(convertSchema(procedureInfo.GetOutputSchema()));
+        com._4paradigm.openmldb.Schema inputSchema = procedureInfo.GetInputSchema();
+        spInfo.setInputSchema(convertSchema(inputSchema));
+        inputSchema.delete();
+        com._4paradigm.openmldb.Schema outputSchema = procedureInfo.GetOutputSchema();
+        spInfo.setOutputSchema(convertSchema(outputSchema));
+        outputSchema.delete();
         spInfo.setMainTable(procedureInfo.GetMainTable());
         spInfo.setInputTables(procedureInfo.GetTables());
         spInfo.setInputDbs(procedureInfo.GetDbs());
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/QueryFuture.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/QueryFuture.java
index 12bbd1ab8d9..94a75df69d4 100644
--- a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/QueryFuture.java
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/QueryFuture.java
@@ -74,6 +74,8 @@ public java.sql.ResultSet get() throws InterruptedException, ExecutionException
             if (resultSet != null) {
                 resultSet.delete();
             }
+            queryFuture.delete();
+            queryFuture = null;
             logger.error("call procedure failed: {}", msg);
             throw new ExecutionException(new SqlException("call procedure failed: " + msg));
         }
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/SqlExecutor.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/SqlExecutor.java
index c89e53379bd..b55da67a430 100644
--- a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/SqlExecutor.java
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/SqlExecutor.java
@@ -48,10 +48,13 @@ public interface SqlExecutor {
     @Deprecated
     java.sql.ResultSet executeSQL(String db, String sql);
 
+    @Deprecated
     SQLInsertRow getInsertRow(String db, String sql);
 
+    @Deprecated
     SQLInsertRows getInsertRows(String db, String sql);
 
+    @Deprecated
     ResultSet executeSQLRequest(String db, String sql, SQLRequestRow row);
 
     Statement getStatement();
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementCache.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementCache.java
new file mode 100644
index 00000000000..9139217cc45
--- /dev/null
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementCache.java
@@ -0,0 +1,75 @@
+package com._4paradigm.openmldb.sdk.impl;
+
+import com._4paradigm.openmldb.common.zk.ZKClient;
+import com._4paradigm.openmldb.proto.NS;
+import com._4paradigm.openmldb.sdk.SqlException;
+import com.github.benmanes.caffeine.cache.Cache;
+import com.github.benmanes.caffeine.cache.Caffeine;
+import org.apache.curator.framework.recipes.cache.NodeCache;
+import org.apache.curator.framework.recipes.cache.NodeCacheListener;
+
+import java.util.*;
+import java.util.concurrent.TimeUnit;
+
+public class InsertPreparedStatementCache {
+
+    private Cache<AbstractMap.SimpleImmutableEntry<String, String>, InsertPreparedStatementMeta> cache;
+
+    private ZKClient zkClient;
+    private NodeCache nodeCache;
+    private String tablePath;
+
+    public InsertPreparedStatementCache(int cacheSize, ZKClient zkClient) throws SqlException {
+        cache = Caffeine.newBuilder().maximumSize(cacheSize).build();
+        this.zkClient = zkClient;
+        if (zkClient != null) {
+            tablePath = zkClient.getConfig().getNamespace() + "/table/db_table_data";
+            nodeCache = new NodeCache(zkClient.getClient(), zkClient.getConfig().getNamespace() + "/table/notify");
+            try {
+                nodeCache.start();
+                nodeCache.getListenable().addListener(new NodeCacheListener() {
+                    @Override
+                    public void nodeChanged() throws Exception {
+                        checkAndInvalid();
+                    }
+                });
+            } catch (Exception e) {
+                throw new SqlException("NodeCache exception: " + e.getMessage());
+            }
+        }
+    }
+
+    public InsertPreparedStatementMeta get(String db, String sql) {
+        return cache.getIfPresent(new AbstractMap.SimpleImmutableEntry<>(db, sql));
+    }
+
+    public void put(String db, String sql, InsertPreparedStatementMeta meta) {
+        cache.put(new AbstractMap.SimpleImmutableEntry<>(db, sql), meta);
+    }
+
+    public void checkAndInvalid() throws Exception {
+        if (!zkClient.checkExists(tablePath)) {
+            return;
+        }
+        List<String> children = zkClient.getChildren(tablePath);
+        Map<AbstractMap.SimpleImmutableEntry<String, String>, InsertPreparedStatementMeta> view = cache.asMap();
+        Map<AbstractMap.SimpleImmutableEntry<String, String>, Integer> tableMap = new HashMap<>();
+        for (String path : children) {
+            byte[] bytes = zkClient.getClient().getData().forPath(tablePath + "/" + path);
+            NS.TableInfo tableInfo = NS.TableInfo.parseFrom(bytes);
+            tableMap.put(new AbstractMap.SimpleImmutableEntry<>(tableInfo.getDb(), tableInfo.getName()), tableInfo.getTid());
+        }
+        Iterator<Map.Entry<AbstractMap.SimpleImmutableEntry<String, String>, InsertPreparedStatementMeta>> iterator
+                = view.entrySet().iterator();
+        while (iterator.hasNext()) {
+            Map.Entry<AbstractMap.SimpleImmutableEntry<String, String>, InsertPreparedStatementMeta> entry = iterator.next();
+            String db = entry.getKey().getKey();
+            InsertPreparedStatementMeta meta = entry.getValue();
+            String name = meta.getName();
+            Integer tid = tableMap.get(new AbstractMap.SimpleImmutableEntry<>(db, name));
+            if (tid != null && tid != meta.getTid()) {
+                cache.invalidate(entry.getKey());
+            }
+        }
+    }
+}
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementImpl.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementImpl.java
index 1eeb10865b5..6acefe8acff 100644
--- a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementImpl.java
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementImpl.java
@@ -18,99 +18,46 @@
 
 import com._4paradigm.openmldb.*;
 
-import com._4paradigm.openmldb.common.Pair;
+import com._4paradigm.openmldb.common.codec.CodecUtil;
+import com._4paradigm.openmldb.common.codec.FlexibleRowBuilder;
+import com._4paradigm.openmldb.jdbc.PreparedStatement;
 import com._4paradigm.openmldb.jdbc.SQLInsertMetaData;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-import java.io.InputStream;
-import java.io.Reader;
-import java.math.BigDecimal;
-import java.net.URL;
-import java.nio.charset.Charset;
-import java.nio.charset.StandardCharsets;
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
 import java.sql.*;
 import java.sql.Date;
 import java.sql.ResultSet;
 import java.util.*;
-import java.util.stream.Collectors;
 
-public class InsertPreparedStatementImpl implements PreparedStatement {
-    public static final Charset CHARSET = StandardCharsets.UTF_8;
+public class InsertPreparedStatementImpl extends PreparedStatement {
     private static final Logger logger = LoggerFactory.getLogger(InsertPreparedStatementImpl.class);
 
-    private final String db;
-    private final String sql;
-    private final SQLRouter router;
-
-    // need manual deletion
-    private final List<SQLInsertRow> currentRows = new ArrayList<>();
-    private Schema currentSchema;
-
-    private final List<Object> currentDatas;
-    private final List<DataType> currentDatasType;
-    private final List<Boolean> hasSet;
-    // stmt insert idx -> real table schema idx
-    private final List<Pair<Long, Integer>> schemaIdxes;
-    // used by building row
-    private final List<Pair<Long, Integer>> sortedIdxes;
-
-    private boolean closed = false;
-    private boolean closeOnComplete = false;
-    private Integer stringsLen = 0;
-
-    public InsertPreparedStatementImpl(String db, String sql, SQLRouter router) throws SQLException {
-        this.db = db;
-        this.sql = sql;
-        this.router = router;
+    private SQLRouter router;
+    private FlexibleRowBuilder rowBuilder;
+    private InsertPreparedStatementMeta cache;
 
-        SQLInsertRow tempRow = getSQLInsertRow();
-        this.currentSchema = tempRow.GetSchema();
-        VectorUint32 idxes = tempRow.GetHoleIdx();
-
-        // In stmt order, if no columns in stmt, in schema order
-        // We'll sort it to schema order later, so needs the map <real_schema_idx, current_data_idx>
-        schemaIdxes = new ArrayList<>(idxes.size());
-        // CurrentData and Type order is consistent with insert stmt. We'll do appending in schema order when build
-        // row.
-        currentDatas = new ArrayList<>(idxes.size());
-        currentDatasType = new ArrayList<>(idxes.size());
-        hasSet = new ArrayList<>(idxes.size());
-
-        for (int i = 0; i < idxes.size(); i++) {
-            Long realIdx = idxes.get(i);
-            schemaIdxes.add(new Pair<>(realIdx, i));
-            DataType type = currentSchema.GetColumnType(realIdx);
-            currentDatasType.add(type);
-            currentDatas.add(null);
-            hasSet.add(false);
-            logger.debug("add col {}, {}", currentSchema.GetColumnName(realIdx), type);
-        }
-        // SQLInsertRow::AppendXXX order is the schema order(skip the no-hole columns)
-        sortedIdxes = schemaIdxes.stream().sorted(Comparator.comparing(Pair::getKey))
-                .collect(Collectors.toList());
-    }
+    private Set<Integer> indexCol;
+    private Map<Integer, List<Integer>> indexMap;
+    private Map<Integer, String> indexValue;
+    private Map<Integer, String> defaultIndexValue;
+    private List<AbstractMap.SimpleImmutableEntry<ByteBuffer, ByteBuffer>> batchValues;
 
-    private SQLInsertRow getSQLInsertRow() throws SQLException {
-        Status status = new Status();
-        SQLInsertRow row = router.GetInsertRow(db, sql, status);
-        if (status.getCode() != 0) {
-            String msg = status.ToString();
-            status.delete();
-            if (row != null) {
-                row.delete();
-            }
-            throw new SQLException("getSQLInsertRow failed, " + msg);
-        }
-        status.delete();
-        return row;
+    public InsertPreparedStatementImpl(InsertPreparedStatementMeta cache, SQLRouter router) throws SQLException {
+        this.router = router;
+        rowBuilder = new FlexibleRowBuilder(cache.getCodecMeta());
+        this.cache = cache;
+        indexCol = cache.getIndexPos();
+        indexMap = cache.getIndexMap();
+        indexValue = new HashMap<>();
+        defaultIndexValue = cache.getDefaultIndexValue();
+        batchValues = new ArrayList<>();
     }
 
-    private void clearSQLInsertRowList() {
-        for (SQLInsertRow row : currentRows) {
-            row.delete();
-        }
-        currentRows.clear();
+    private int getSchemaIdx(int idx) throws SQLException {
+        return cache.getSchemaIdx(idx - 1);
     }
 
     @Override
@@ -125,246 +72,237 @@ public int executeUpdate() throws SQLException {
         throw new SQLException("current do not support this method");
     }
 
-    private void checkIdx(int i) throws SQLException {
-        if (closed) {
-            throw new SQLException("prepared statement closed");
-        }
-        if (i <= 0) {
-            throw new SQLException("error sqe number");
-        }
-        if (i > schemaIdxes.size()) {
-            throw new SQLException("out of data range");
-        }
-    }
-
-    private void checkType(int i, DataType type) throws SQLException {
-        if (currentDatasType.get(i - 1) != type) {
-            throw new SQLException("data type not match, expect " + currentDatasType.get(i - 1) + ", actual " + type);
-        }
-    }
-
-    private void setNull(int i) throws SQLException {
-        checkIdx(i);
-        boolean notAllowNull = checkNotAllowNull(i);
-        if (notAllowNull) {
+    private boolean setNull(int i) throws SQLException {
+        if (!cache.getSchema().isNullable(i)) {
             throw new SQLException("this column not allow null");
         }
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, null);
+        return rowBuilder.setNULL(i);
     }
 
     @Override
     public void setNull(int i, int i1) throws SQLException {
-        setNull(i);
+        int realIdx = getSchemaIdx(i);
+        if (!setNull(realIdx)) {
+            throw new SQLException("set null failed. pos is " + i);
+        }
+        if (indexCol.contains(realIdx)) {
+            indexValue.put(realIdx, InsertPreparedStatementMeta.NONETOKEN);
+        }
     }
 
     @Override
     public void setBoolean(int i, boolean b) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeBool);
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, b);
-    }
-
-    @Override
-    @Deprecated
-    public void setByte(int i, byte b) throws SQLException {
-        throw new SQLException("current do not support this method");
+        int realIdx = getSchemaIdx(i);
+        if (!rowBuilder.setBool(realIdx, b)) {
+            throw new SQLException("set bool failed. pos is " + i);
+        }
+        if (indexCol.contains(realIdx)) {
+            indexValue.put(realIdx, String.valueOf(b));
+        }
     }
 
     @Override
     public void setShort(int i, short i1) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeInt16);
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, i1);
+        int realIdx = getSchemaIdx(i);
+        if (!rowBuilder.setSmallInt(realIdx, i1)) {
+            throw new SQLException("set short failed. pos is " + i);
+        }
+        if (indexCol.contains(realIdx)) {
+            indexValue.put(realIdx, String.valueOf(i1));
+        }
     }
 
     @Override
     public void setInt(int i, int i1) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeInt32);
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, i1);
-
+        int realIdx = getSchemaIdx(i);
+        if (!rowBuilder.setInt(realIdx, i1)) {
+            throw new SQLException("set int failed. pos is " + i);
+        }
+        if (indexCol.contains(realIdx)) {
+            indexValue.put(realIdx, String.valueOf(i1));
+        }
     }
 
     @Override
     public void setLong(int i, long l) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeInt64);
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, l);
+        int realIdx = getSchemaIdx(i);
+        if (!rowBuilder.setBigInt(realIdx, l)) {
+            throw new SQLException("set long failed. pos is " + i);
+        }
+        if (indexCol.contains(realIdx)) {
+            indexValue.put(realIdx, String.valueOf(l));
+        }
     }
 
     @Override
     public void setFloat(int i, float v) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeFloat);
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, v);
+        if (!rowBuilder.setFloat(getSchemaIdx(i), v)) {
+            throw new SQLException("set float failed. pos is " + i);
+        }
     }
 
     @Override
     public void setDouble(int i, double v) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeDouble);
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, v);
-    }
-
-    @Override
-    @Deprecated
-    public void setBigDecimal(int i, BigDecimal bigDecimal) throws SQLException {
-        throw new SQLException("current do not support this type");
-    }
-
-    private boolean checkNotAllowNull(int i) {
-        Long idx = this.schemaIdxes.get(i - 1).getKey();
-        return this.currentSchema.IsColumnNotNull(idx);
+        if (!rowBuilder.setDouble(getSchemaIdx(i), v)) {
+            throw new SQLException("set double failed. pos is " + i);
+        }
     }
 
     @Override
     public void setString(int i, String s) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeString);
+        int realIdx = getSchemaIdx(i);
         if (s == null) {
-            setNull(i);
+            setNull(realIdx);
+            if (indexCol.contains(realIdx)) {
+                indexValue.put(realIdx, InsertPreparedStatementMeta.NONETOKEN);
+            }
             return;
         }
-        byte[] bytes = s.getBytes(CHARSET);
-        // if this index already set, should first reduce length of bytes last time
-        if (hasSet.get(i - 1)) {
-            stringsLen -= ((byte[]) currentDatas.get(i - 1)).length;
+        if (!rowBuilder.setString(getSchemaIdx(i), s)) {
+            throw new SQLException("set string failed. pos is " + i);
+        }
+        if (indexCol.contains(realIdx)) {
+            if (s.isEmpty()) {
+                indexValue.put(realIdx, InsertPreparedStatementMeta.EMPTY_STRING);
+            } else {
+                indexValue.put(realIdx, s);
+            }
         }
-        stringsLen += bytes.length;
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, bytes);
-    }
-
-    @Override
-    @Deprecated
-    public void setBytes(int i, byte[] bytes) throws SQLException {
-        throw new SQLException("current do not support this type");
     }
 
     @Override
     public void setDate(int i, Date date) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeDate);
+        int realIdx = getSchemaIdx(i);
+        if (indexCol.contains(realIdx)) {
+            if (date != null) {
+                indexValue.put(realIdx, String.valueOf(CodecUtil.dateToDateInt(date)));
+            } else {
+                indexValue.put(realIdx, InsertPreparedStatementMeta.NONETOKEN);
+            }
+        }
         if (date == null) {
-            setNull(i);
+            if (!setNull(realIdx)) {
+                throw new SQLException("set date failed. pos is " + i);
+            }
             return;
         }
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, date);
+        if (!rowBuilder.setDate(realIdx, date)) {
+            throw new SQLException("set date failed. pos is " + i);
+        }
     }
 
-    @Override
-    @Deprecated
-    public void setTime(int i, Time time) throws SQLException {
-        throw new SQLException("current do not support this type");
-    }
 
     @Override
     public void setTimestamp(int i, Timestamp timestamp) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeTimestamp);
+        int realIdx = getSchemaIdx(i);
+        if (indexCol.contains(realIdx)) {
+            if (timestamp != null) {
+                indexValue.put(realIdx, String.valueOf(timestamp.getTime()));
+            } else {
+                indexValue.put(realIdx, InsertPreparedStatementMeta.NONETOKEN);
+            }
+        }
         if (timestamp == null) {
-            setNull(i);
+            if (!setNull(realIdx)) {
+                throw new SQLException("set timestamp failed. pos is " + i);
+            }
             return;
         }
-        hasSet.set(i - 1, true);
-        long ts = timestamp.getTime();
-        currentDatas.set(i - 1, ts);
-    }
-
-    @Override
-    @Deprecated
-    public void setAsciiStream(int i, InputStream inputStream, int i1) throws SQLException {
-        throw new SQLException("current do not support this type");
-    }
-
-    @Override
-    @Deprecated
-    public void setUnicodeStream(int i, InputStream inputStream, int i1) throws SQLException {
-        throw new SQLException("current do not support this type");
-    }
-
-    @Override
-    @Deprecated
-    public void setBinaryStream(int i, InputStream inputStream, int i1) throws SQLException {
-        throw new SQLException("current do not support this type");
-    }
-
-    @Override
-    public void clearParameters() throws SQLException {
-        for (int i = 0; i < hasSet.size(); i++) {
-            hasSet.set(i, false);
-            currentDatas.set(i, null);
+        if (!rowBuilder.setTimestamp(realIdx, timestamp)) {
+            throw new SQLException("set timestamp failed. pos is " + i);
         }
-        stringsLen = 0;
     }
 
     @Override
-    @Deprecated
-    public void setObject(int i, Object o, int i1) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    private void buildRow() throws SQLException {
-        SQLInsertRow currentRow = getSQLInsertRow();
-        boolean ok = currentRow.Init(stringsLen);
-        if (!ok) {
-            throw new SQLException("init row failed");
+    public void clearParameters() throws SQLException {
+        rowBuilder.clear();
+        indexValue.clear();
+    }
+
+    private ByteBuffer buildDimension() throws SQLException {
+        int totalLen = 0;
+        Map<Integer, Integer> lenMap = new HashMap<>();
+        for (Map.Entry<Integer, List<Integer>> entry : indexMap.entrySet()) {
+            totalLen += 4; // encode the size of idx(int)
+            totalLen += 4; // encode the value size
+            int curLen = entry.getValue().size() - 1;
+            for (Integer pos : entry.getValue()) {
+                if (indexValue.containsKey(pos)) {
+                    curLen += indexValue.get(pos).getBytes(CodecUtil.CHARSET).length;
+                } else if (defaultIndexValue.containsKey(pos)) {
+                    curLen += defaultIndexValue.get(pos).getBytes(CodecUtil.CHARSET).length;
+                } else {
+                    throw new SQLException("cannot get index value. pos is " + pos);
+                }
+            }
+            totalLen += curLen;
+            lenMap.put(entry.getKey(), curLen);
         }
-
-        for (Pair<Long, Integer> sortedIdx : sortedIdxes) {
-            Integer currentDataIdx = sortedIdx.getValue();
-            Object data = currentDatas.get(currentDataIdx);
-            if (data == null) {
-                ok = currentRow.AppendNULL();
-            } else {
-                DataType curType = currentDatasType.get(currentDataIdx);
-                if (DataType.kTypeBool.equals(curType)) {
-                    ok = currentRow.AppendBool((boolean) data);
-                } else if (DataType.kTypeDate.equals(curType)) {
-                    Date date = (Date) data;
-                    ok = currentRow.AppendDate(date.getYear() + 1900, date.getMonth() + 1, date.getDate());
-                } else if (DataType.kTypeDouble.equals(curType)) {
-                    ok = currentRow.AppendDouble((double) data);
-                } else if (DataType.kTypeFloat.equals(curType)) {
-                    ok = currentRow.AppendFloat((float) data);
-                } else if (DataType.kTypeInt16.equals(curType)) {
-                    ok = currentRow.AppendInt16((short) data);
-                } else if (DataType.kTypeInt32.equals(curType)) {
-                    ok = currentRow.AppendInt32((int) data);
-                } else if (DataType.kTypeInt64.equals(curType)) {
-                    ok = currentRow.AppendInt64((long) data);
-                } else if (DataType.kTypeString.equals(curType)) {
-                    byte[] bdata = (byte[]) data;
-                    ok = currentRow.AppendString(bdata, bdata.length);
-                } else if (DataType.kTypeTimestamp.equals(curType)) {
-                    ok = currentRow.AppendTimestamp((long) data);
+        ByteBuffer dimensionValue = ByteBuffer.allocate(totalLen).order(ByteOrder.LITTLE_ENDIAN);
+        for (Map.Entry<Integer, List<Integer>> entry : indexMap.entrySet()) {
+            Integer indexPos = entry.getKey();
+            dimensionValue.putInt(indexPos);
+            dimensionValue.putInt(lenMap.get(indexPos));
+            for (int i = 0; i < entry.getValue().size(); i++) {
+                int pos = entry.getValue().get(i);
+                if (i > 0) {
+                    dimensionValue.put((byte)'|');
+                }
+                if (indexValue.containsKey(pos)) {
+                    dimensionValue.put(indexValue.get(pos).getBytes(CodecUtil.CHARSET));
                 } else {
-                    throw new SQLException("unknown data type");
+                    dimensionValue.put(defaultIndexValue.get(pos).getBytes(CodecUtil.CHARSET));
                 }
             }
-            if (!ok) {
-                throw new SQLException("append failed on currentDataIdx: " + currentDataIdx + ", curType: " + currentDatasType.get(currentDataIdx) + ", current data: " + data);
+        }
+        return dimensionValue;
+    }
+
+    private ByteBuffer buildRow() throws SQLException {
+        Map<Integer, Object> defaultValue = cache.getDefaultValue();
+        if (!defaultValue.isEmpty()) {
+            for (Map.Entry<Integer, Object> entry : defaultValue.entrySet()) {
+                int idx = entry.getKey();
+                Object val = entry.getValue();
+                if (val == null) {
+                    rowBuilder.setNULL(idx);
+                    continue;
+                }
+                switch (cache.getSchema().getColumnType(idx)) {
+                    case Types.BOOLEAN:
+                        rowBuilder.setBool(idx, (boolean)val);
+                        break;
+                    case Types.SMALLINT:
+                        rowBuilder.setSmallInt(idx, (short)val);
+                        break;
+                    case Types.INTEGER:
+                        rowBuilder.setInt(idx, (int)val);
+                        break;
+                    case Types.BIGINT:
+                        rowBuilder.setBigInt(idx, (long)val);
+                        break;
+                    case Types.FLOAT:
+                        rowBuilder.setFloat(idx, (float)val);
+                        break;
+                    case Types.DOUBLE:
+                        rowBuilder.setDouble(idx, (double)val);
+                        break;
+                    case Types.DATE:
+                        rowBuilder.setDate(idx, (Date)val);
+                        break;
+                    case Types.TIMESTAMP:
+                        rowBuilder.setTimestamp(idx, (Timestamp)val);
+                        break;
+                    case Types.VARCHAR:
+                        rowBuilder.setString(idx, (String)val);
+                        break;
+                }
             }
         }
-        if (!currentRow.Build()) {
-            throw new SQLException("build insert row failed(str size init != actual)");
+        if (!rowBuilder.build()) {
+            throw new SQLException("encode row failed");
         }
-        currentRows.add(currentRow);
-        clearParameters();
-    }
-
-    @Override
-    @Deprecated
-    public void setObject(int i, Object o) throws SQLException {
-        throw new SQLException("current do not support this method");
+        return rowBuilder.getValue();
     }
 
     @Override
@@ -372,17 +310,19 @@ public boolean execute() throws SQLException {
         if (closed) {
             throw new SQLException("InsertPreparedStatement closed");
         }
-        // buildRow will add a new row to currentRows
-        if (!currentRows.isEmpty()) {
+        if (!batchValues.isEmpty()) {
             throw new SQLException("please use executeBatch");
         }
-        buildRow();
+        ByteBuffer dimensions = buildDimension();
+        ByteBuffer value = buildRow();
         Status status = new Status();
         // actually only one row
-        boolean ok = router.ExecuteInsert(db, sql, currentRows.get(0), status);
+        boolean ok = router.ExecuteInsert(cache.getDatabase(), cache.getName(),
+                cache.getTid(), cache.getPartitionNum(),
+                dimensions.array(), dimensions.capacity(), value.array(), value.capacity(), status);
         // cleanup rows even if insert failed
         // we can't execute() again without set new row, so we must clean up here
-        clearSQLInsertRowList();
+        clearParameters();
         if (!ok) {
             logger.error("execute insert failed: {}", status.ToString());
             status.delete();
@@ -401,220 +341,24 @@ public void addBatch() throws SQLException {
         if (closed) {
             throw new SQLException("InsertPreparedStatement closed");
         }
-        // build the current row and cleanup the cache of current row
-        // so that the cache is ready for new row
-        buildRow();
-    }
-
-    @Override
-    @Deprecated
-    public void setCharacterStream(int i, Reader reader, int i1) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setRef(int i, Ref ref) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setBlob(int i, Blob blob) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setClob(int i, Clob clob) throws SQLException {
-        throw new SQLException("current do not support this method");
+        batchValues.add(new AbstractMap.SimpleImmutableEntry<>(buildDimension(), buildRow()));
+        clearParameters();
     }
 
-    @Override
-    @Deprecated
-    public void setArray(int i, Array array) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
 
     @Override
     public ResultSetMetaData getMetaData() throws SQLException {
-        return new SQLInsertMetaData(this.currentDatasType, this.currentSchema, this.schemaIdxes);
+        return new SQLInsertMetaData(cache.getSchema(), cache.getHoleIdx());
     }
 
     @Override
     public void setDate(int i, Date date, Calendar calendar) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeDate);
-        if (date == null) {
-            setNull(i);
-            return;
-        }
-        hasSet.set(i - 1, true);
-        currentDatas.set(i - 1, date);
-    }
-
-    @Override
-    @Deprecated
-    public void setTime(int i, Time time, Calendar calendar) throws SQLException {
-        throw new SQLException("current do not support this method");
+        setDate(i, date);
     }
 
     @Override
     public void setTimestamp(int i, Timestamp timestamp, Calendar calendar) throws SQLException {
-        checkIdx(i);
-        checkType(i, DataType.kTypeTimestamp);
-        if (timestamp == null) {
-            setNull(i);
-            return;
-        }
-        hasSet.set(i - 1, true);
-        long ts = timestamp.getTime();
-        currentDatas.set(i - 1, ts);
-    }
-
-    @Override
-    @Deprecated
-    public void setNull(int i, int i1, String s) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setURL(int i, URL url) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public ParameterMetaData getParameterMetaData() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setRowId(int i, RowId rowId) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setNString(int i, String s) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setNCharacterStream(int i, Reader reader, long l) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setNClob(int i, NClob nClob) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setClob(int i, Reader reader, long l) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setBlob(int i, InputStream inputStream, long l) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setNClob(int i, Reader reader, long l) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setSQLXML(int i, SQLXML sqlxml) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setObject(int i, Object o, int i1, int i2) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setAsciiStream(int i, InputStream inputStream, long l) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setBinaryStream(int i, InputStream inputStream, long l) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setCharacterStream(int i, Reader reader, long l) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setAsciiStream(int i, InputStream inputStream) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setBinaryStream(int i, InputStream inputStream) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setCharacterStream(int i, Reader reader) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setNCharacterStream(int i, Reader reader) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setClob(int i, Reader reader) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setBlob(int i, InputStream inputStream) throws SQLException {
-
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setNClob(int i, Reader reader) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public ResultSet executeQuery(String s) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int executeUpdate(String s) throws SQLException {
-        throw new SQLException("current do not support this method");
+        setTimestamp(i, timestamp);
     }
 
     @Override
@@ -622,158 +366,22 @@ public void close() throws SQLException {
         if (closed) {
             return;
         }
-        clearSQLInsertRowList();
-        if (currentSchema != null) {
-            currentSchema.delete();
-            currentSchema = null;
-        }
         closed = true;
     }
 
-    @Override
-    @Deprecated
-    public int getMaxFieldSize() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setMaxFieldSize(int i) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int getMaxRows() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setMaxRows(int i) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setEscapeProcessing(boolean b) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int getQueryTimeout() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setQueryTimeout(int i) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void cancel() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public SQLWarning getWarnings() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void clearWarnings() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setCursorName(String s) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public boolean execute(String s) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public ResultSet getResultSet() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int getUpdateCount() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public boolean getMoreResults() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public void setFetchDirection(int i) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Deprecated
-    @Override
-    public int getFetchDirection() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    public void setFetchSize(int i) throws SQLException {
-    }
-
-    @Override
-    @Deprecated
-    public int getFetchSize() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int getResultSetConcurrency() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int getResultSetType() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    public void addBatch(String s) throws SQLException {
-        throw new SQLException("cannot take arguments in PreparedStatement");
-    }
-
-    @Override
-    @Deprecated
-    public void clearBatch() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
     @Override
     public int[] executeBatch() throws SQLException {
         if (closed) {
             throw new SQLException("InsertPreparedStatement closed");
         }
-        int[] result = new int[currentRows.size()];
+        int[] result = new int[batchValues.size()];
         Status status = new Status();
-        for (int i = 0; i < currentRows.size(); i++) {
-            boolean ok = router.ExecuteInsert(db, sql, currentRows.get(i), status);
+        for (int i = 0; i < batchValues.size(); i++) {
+            AbstractMap.SimpleImmutableEntry<ByteBuffer, ByteBuffer> pair = batchValues.get(i);
+            boolean ok = router.ExecuteInsert(cache.getDatabase(), cache.getName(),
+                    cache.getTid(), cache.getPartitionNum(),
+                    pair.getKey().array(), pair.getKey().capacity(),
+                    pair.getValue().array(), pair.getValue().capacity(), status);
             if (!ok) {
                 // TODO(hw): may lost log, e.g. openmldb-batch online import in yarn mode?
                 logger.warn(status.ToString());
@@ -781,106 +389,8 @@ public int[] executeBatch() throws SQLException {
             result[i] = ok ? 0 : -1;
         }
         status.delete();
-        clearSQLInsertRowList();
+        clearParameters();
+        batchValues.clear();
         return result;
     }
-
-    @Override
-    @Deprecated
-    public Connection getConnection() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public boolean getMoreResults(int i) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public ResultSet getGeneratedKeys() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int executeUpdate(String s, int i) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int executeUpdate(String s, int[] ints) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int executeUpdate(String s, String[] strings) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public boolean execute(String s, int i) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public boolean execute(String s, int[] ints) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public boolean execute(String s, String[] strings) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public int getResultSetHoldability() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    public boolean isClosed() throws SQLException {
-        return closed;
-    }
-
-    @Override
-    @Deprecated
-    public void setPoolable(boolean b) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public boolean isPoolable() throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    public void closeOnCompletion() throws SQLException {
-        this.closeOnComplete = true;
-    }
-
-    @Override
-    public boolean isCloseOnCompletion() throws SQLException {
-        return this.closeOnComplete;
-    }
-
-    @Override
-    @Deprecated
-    public <T> T unwrap(Class<T> aClass) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
-
-    @Override
-    @Deprecated
-    public boolean isWrapperFor(Class<?> aClass) throws SQLException {
-        throw new SQLException("current do not support this method");
-    }
 }
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementMeta.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementMeta.java
new file mode 100644
index 00000000000..448438e9d31
--- /dev/null
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/InsertPreparedStatementMeta.java
@@ -0,0 +1,218 @@
+package com._4paradigm.openmldb.sdk.impl;
+
+import com._4paradigm.openmldb.SQLInsertRow;
+import com._4paradigm.openmldb.DefaultValueContainer;
+import com._4paradigm.openmldb.VectorUint32;
+import com._4paradigm.openmldb.common.codec.CodecMetaData;
+import com._4paradigm.openmldb.common.codec.CodecUtil;
+import com._4paradigm.openmldb.proto.NS;
+import com._4paradigm.openmldb.sdk.Common;
+import com._4paradigm.openmldb.sdk.Schema;
+
+import java.sql.SQLException;
+import java.sql.Timestamp;
+import java.sql.Types;
+import java.util.*;
+
+public class InsertPreparedStatementMeta {
+
+    public static String NONETOKEN = "!N@U#L$L%";
+    public static String EMPTY_STRING = "!@#$%";
+
+    private String sql;
+    private String db;
+    private String name;
+    private int tid;
+    private int partitionNum;
+    private Schema schema;
+    private CodecMetaData codecMetaData;
+    private Map<Integer, Object> defaultValue = new HashMap<>();
+    private List<Integer> holeIdx = new ArrayList<>();
+    private Set<Integer> indexPos = new HashSet<>();
+    private Map<Integer, List<Integer>> indexMap = new HashMap<>();
+    private Map<Integer, String> defaultIndexValue = new HashMap<>();
+
+    public InsertPreparedStatementMeta(String sql, NS.TableInfo tableInfo, SQLInsertRow insertRow) {
+        this.sql = sql;
+        try {
+            schema = Common.convertSchema(tableInfo.getColumnDescList());
+            codecMetaData = new CodecMetaData(tableInfo.getColumnDescList(), false);
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        db = tableInfo.getDb();
+        name = tableInfo.getName();
+        tid = tableInfo.getTid();
+        partitionNum = tableInfo.getTablePartitionCount();
+        buildIndex(tableInfo);
+        DefaultValueContainer value = insertRow.GetDefaultValue();
+        buildDefaultValue(value);
+        value.delete();
+        VectorUint32 idxArray = insertRow.GetHoleIdx();
+        buildHoleIdx(idxArray);
+        idxArray.delete();
+    }
+
+    private void buildIndex(NS.TableInfo tableInfo) {
+        Map<String, Integer> nameIdxMap = new HashMap<>();
+        for (int i = 0; i < schema.size(); i++) {
+            nameIdxMap.put(schema.getColumnName(i), i);
+        }
+        for (int i = 0; i < tableInfo.getColumnKeyList().size(); i++) {
+            com._4paradigm.openmldb.proto.Common.ColumnKey columnKey = tableInfo.getColumnKeyList().get(i);
+            List<Integer> colList = new ArrayList<>(columnKey.getColNameCount());
+            for (String name : columnKey.getColNameList()) {
+                colList.add(nameIdxMap.get(name));
+                indexPos.add(nameIdxMap.get(name));
+            }
+            indexMap.put(i, colList);
+        }
+    }
+
+    private void buildHoleIdx(VectorUint32 idxArray) {
+        int size = idxArray.size();
+        for (int i = 0; i < size; i++) {
+            holeIdx.add(idxArray.get(i).intValue());
+        }
+    }
+
+    private void buildDefaultValue(DefaultValueContainer valueContainer) {
+        VectorUint32 defaultPos = valueContainer.GetAllPosition();
+        int size = defaultPos.size();
+        for (int i = 0; i < size; i++) {
+            int schemaIdx = defaultPos.get(i).intValue();
+            boolean isIndexVal = indexPos.contains(schemaIdx);
+            if (valueContainer.IsNull(schemaIdx)) {
+                defaultValue.put(schemaIdx, null);
+                if (isIndexVal) {
+                    defaultIndexValue.put(schemaIdx, NONETOKEN);
+                }
+            } else {
+                switch (schema.getColumnType(schemaIdx)) {
+                    case Types.BOOLEAN: {
+                        boolean val = valueContainer.GetBool(schemaIdx);
+                        defaultValue.put(schemaIdx, val);
+                        if (isIndexVal) {
+                            defaultIndexValue.put(schemaIdx, String.valueOf(val));
+                        }
+                        break;
+                    }
+                    case Types.SMALLINT: {
+                        short val = valueContainer.GetSmallInt(schemaIdx);
+                        defaultValue.put(schemaIdx, val);
+                        if (isIndexVal) {
+                            defaultIndexValue.put(schemaIdx, String.valueOf(val));
+                        }
+                        break;
+                    }
+                    case Types.INTEGER: {
+                        int val = valueContainer.GetInt(schemaIdx);
+                        defaultValue.put(schemaIdx, val);
+                        if (isIndexVal) {
+                            defaultIndexValue.put(schemaIdx, String.valueOf(val));
+                        }
+                        break;
+                    }
+                    case Types.BIGINT: {
+                        long val = valueContainer.GetBigInt(schemaIdx);
+                        defaultValue.put(schemaIdx, val);
+                        if (isIndexVal) {
+                            defaultIndexValue.put(schemaIdx, String.valueOf(val));
+                        }
+                        break;
+                    }
+                    case Types.FLOAT:
+                        defaultValue.put(schemaIdx, valueContainer.GetFloat(schemaIdx));
+                        break;
+                    case Types.DOUBLE:
+                        defaultValue.put(schemaIdx, valueContainer.GetDouble(schemaIdx));
+                        break;
+                    case Types.DATE: {
+                        int val = valueContainer.GetDate(schemaIdx);
+                        defaultValue.put(schemaIdx, CodecUtil.dateIntToDate(val));
+                        if (isIndexVal) {
+                            defaultIndexValue.put(schemaIdx, String.valueOf(val));
+                        }
+                        break;
+                    }
+                    case Types.TIMESTAMP: {
+                        long val = valueContainer.GetTimeStamp(schemaIdx);
+                        defaultValue.put(schemaIdx, new Timestamp(val));
+                        if (isIndexVal) {
+                            defaultIndexValue.put(schemaIdx, String.valueOf(val));
+                        }
+                        break;
+                    }
+                    case Types.VARCHAR: {
+                        String val = valueContainer.GetString(schemaIdx);
+                        defaultValue.put(schemaIdx, val);
+                        if (isIndexVal) {
+                            if (val.isEmpty()) {
+                                defaultIndexValue.put(schemaIdx, EMPTY_STRING);
+                            } else {
+                                defaultIndexValue.put(schemaIdx, val);
+                            }
+                        }
+                        break;
+                    }
+                }
+            }
+        }
+        defaultPos.delete();
+    }
+
+    public Schema getSchema() {
+        return schema;
+    }
+
+    public String getDatabase() {
+        return db;
+    }
+
+    public String getName() {
+        return name;
+    }
+
+    public int getTid() {
+        return tid;
+    }
+
+    public int getPartitionNum() {
+        return partitionNum;
+    }
+
+    public CodecMetaData getCodecMeta() {
+        return codecMetaData;
+    }
+
+    public Map<Integer, Object> getDefaultValue() {
+        return defaultValue;
+    }
+
+    public String getSql() {
+        return sql;
+    }
+
+    public int getSchemaIdx(int idx) throws SQLException {
+        if (idx >= holeIdx.size()) {
+            throw new SQLException("out of data range");
+        }
+        return holeIdx.get(idx);
+    }
+
+    List<Integer> getHoleIdx() {
+        return holeIdx;
+    }
+
+    Set<Integer> getIndexPos() {
+        return indexPos;
+    }
+
+    Map<Integer, List<Integer>> getIndexMap() {
+        return indexMap;
+    }
+
+    Map<Integer, String> getDefaultIndexValue() {
+        return defaultIndexValue;
+    }
+}
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/SqlClusterExecutor.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/SqlClusterExecutor.java
index 7d32ac092af..9505cd6aba9 100644
--- a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/SqlClusterExecutor.java
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/impl/SqlClusterExecutor.java
@@ -52,6 +52,7 @@
 import java.util.HashSet;
 import java.util.List;
 import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
 import java.util.concurrent.atomic.AtomicBoolean;
 import java.util.stream.Collectors;
 
@@ -62,6 +63,7 @@ public class SqlClusterExecutor implements SqlExecutor {
     private SQLRouter sqlRouter;
     private DeploymentManager deploymentManager;
     private ZKClient zkClient;
+    private InsertPreparedStatementCache insertCache;
 
     public SqlClusterExecutor(SdkOption option, String libraryPath) throws SqlException {
         initJavaSdkLibrary(libraryPath);
@@ -91,6 +93,7 @@ public SqlClusterExecutor(SdkOption option, String libraryPath) throws SqlExcept
             throw new SqlException("fail to create sql executor");
         }
         deploymentManager = new DeploymentManager(zkClient);
+        insertCache = new InsertPreparedStatementCache(option.getMaxSqlCacheSize(), zkClient);
     }
 
     public SqlClusterExecutor(SdkOption option) throws SqlException {
@@ -183,7 +186,26 @@ public Statement getStatement() {
 
     @Override
     public PreparedStatement getInsertPreparedStmt(String db, String sql) throws SQLException {
-        return new InsertPreparedStatementImpl(db, sql, this.sqlRouter);
+        InsertPreparedStatementMeta meta = insertCache.get(db, sql);
+        if (meta == null) {
+            Status status = new Status();
+            SQLInsertRow row = sqlRouter.GetInsertRow(db, sql, status);
+            if (!status.IsOK()) {
+                String msg = status.ToString();
+                status.delete();
+                if (row != null) {
+                    row.delete();
+                }
+                throw new SQLException("getSQLInsertRow failed, " + msg);
+            }
+            status.delete();
+            String name = row.GetTableInfo().getName();
+            NS.TableInfo tableInfo = getTableInfo(db, name);
+            meta = new InsertPreparedStatementMeta(sql, tableInfo, row);
+            row.delete();
+            insertCache.put(db, sql, meta);
+        }
+        return new InsertPreparedStatementImpl(meta, this.sqlRouter);
     }
 
     @Override
diff --git a/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/JDBCDriverTest.java b/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/JDBCDriverTest.java
index 5c62bca51dc..6d449928b44 100644
--- a/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/JDBCDriverTest.java
+++ b/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/JDBCDriverTest.java
@@ -212,7 +212,6 @@ public void testForKafkaConnector() throws SQLException {
         // don't work, but do not throw exception
         pstmt.setFetchSize(100);
 
-        pstmt.addBatch();
         insertSql = "INSERT INTO " +
                 tableName +
                 "(`c3`,`c2`) VALUES(?,?)";
diff --git a/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/SQLRouterSmokeTest.java b/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/SQLRouterSmokeTest.java
index b8f54bfa5ca..68dc237d1cf 100644
--- a/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/SQLRouterSmokeTest.java
+++ b/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/SQLRouterSmokeTest.java
@@ -380,7 +380,7 @@ public void testInsertPreparedState(SqlExecutor router) {
             try {
                 impl2.setString(2, "c");
             } catch (Exception e) {
-                Assert.assertTrue(e.getMessage().contains("data type not match"));
+                Assert.assertTrue(e.getMessage().contains("set string failed"));
             }
             impl2.setString(1, "sandong");
             impl2.setDate(2, d3);
@@ -390,11 +390,16 @@ public void testInsertPreparedState(SqlExecutor router) {
             insert = "insert into tsql1010 values(?, ?, ?, ?, ?);";
             PreparedStatement impl3 = router.getInsertPreparedStmt(dbname, insert);
             impl3.setLong(1, 1003);
-            impl3.setString(3, "zhejiangxx");
             impl3.setString(3, "zhejiang");
-            impl3.setString(4, "xxhangzhou");
+            try {
+                impl3.setString(3, "zhejiangxx");
+                Assert.fail();
+            } catch (Exception e) {
+                Assert.assertTrue(true);
+            }
             impl3.setString(4, "hangzhou");
             impl3.setDate(2, d4);
+            impl3.setInt(5, 3);
             impl3.setInt(5, 4);
             impl3.closeOnCompletion();
             Assert.assertTrue(impl3.isCloseOnCompletion());
@@ -500,7 +505,7 @@ public void testInsertPreparedStateBatch(SqlExecutor router) {
                 try {
                     impl.setInt(2, 1002);
                 } catch (Exception e) {
-                    Assert.assertTrue(e.getMessage().contains("data type not match"));
+                    Assert.assertTrue(e.getMessage().contains("set int failed"));
                 }
                 try {
                     // set failed, so the row is uncompleted, appending row will be failed
@@ -510,7 +515,7 @@ public void testInsertPreparedStateBatch(SqlExecutor router) {
                         // j > 0, addBatch has been called
                         Assert.assertEquals(e.getMessage(), "please use executeBatch");
                     } else {
-                        Assert.assertTrue(e.getMessage().contains("append failed"));
+                        Assert.assertTrue(e.getMessage().contains("cannot get index value"));
                     }
                 }
                 impl.setLong(1, (Long) datas1[j][0]);
@@ -536,7 +541,7 @@ public void testInsertPreparedStateBatch(SqlExecutor router) {
                 try {
                     impl2.setInt(2, 1002);
                 } catch (Exception e) {
-                    Assert.assertTrue(e.getMessage().contains("data type not match"));
+                    Assert.assertTrue(e.getMessage().contains("set int failed"));
                 }
                 try {
                     impl2.execute();
@@ -544,7 +549,7 @@ public void testInsertPreparedStateBatch(SqlExecutor router) {
                     if (j > 0) {
                         Assert.assertEquals(e.getMessage(), "please use executeBatch");
                     } else {
-                        Assert.assertTrue(e.getMessage().contains("append failed"));
+                        Assert.assertTrue(e.getMessage().contains("cannot get index value"));
                     }
                 }
                 impl2.setLong(1, (Long) datas1[j][0]);
@@ -562,8 +567,9 @@ public void testInsertPreparedStateBatch(SqlExecutor router) {
             Object[] datas2 = batchData[i];
             try {
                 impl2.addBatch((String) datas2[0]);
+                Assert.fail();
             } catch (Exception e) {
-                Assert.assertEquals(e.getMessage(), "cannot take arguments in PreparedStatement");
+                Assert.assertTrue(true);
             }
 
             int[] result = impl.executeBatch();
diff --git a/src/base/hash.h b/src/base/hash.h
index 6e98be06d7f..df6962d3c5a 100644
--- a/src/base/hash.h
+++ b/src/base/hash.h
@@ -104,8 +104,8 @@ static uint64_t MurmurHash64A(const void* key, int len, unsigned int seed) {
     return h;
 }
 
-static inline int64_t hash64(const std::string& key) {
-    uint64_t raw_value = MurmurHash64A(key.c_str(), key.length(), 0xe17a1465);
+static inline int64_t hash64(const void* ptr, int len) {
+    uint64_t raw_value = MurmurHash64A(ptr, len, 0xe17a1465);
     int64_t cur_value = (int64_t)raw_value;
     // convert to signed integer as same as java client
     if (cur_value < 0) {
@@ -114,6 +114,10 @@ static inline int64_t hash64(const std::string& key) {
     return cur_value;
 }
 
+static inline int64_t hash64(const std::string& key) {
+    return hash64(key.c_str(), key.length());
+}
+
 }  // namespace base
 }  // namespace openmldb
 
diff --git a/src/client/tablet_client.cc b/src/client/tablet_client.cc
index 9357b23e29a..938a1b747d7 100644
--- a/src/client/tablet_client.cc
+++ b/src/client/tablet_client.cc
@@ -189,16 +189,23 @@ bool TabletClient::UpdateTableMetaForAddField(uint32_t tid, const std::vector<op
 
 bool TabletClient::Put(uint32_t tid, uint32_t pid, uint64_t time, const std::string& value,
                        const std::vector<std::pair<std::string, uint32_t>>& dimensions) {
-    ::openmldb::api::PutRequest request;
-    request.set_time(time);
-    request.set_value(value);
-    request.set_tid(tid);
-    request.set_pid(pid);
+    ::google::protobuf::RepeatedPtrField<::openmldb::api::Dimension> pb_dimensions;
     for (size_t i = 0; i < dimensions.size(); i++) {
-        ::openmldb::api::Dimension* d = request.add_dimensions();
+        ::openmldb::api::Dimension* d = pb_dimensions.Add();
         d->set_key(dimensions[i].first);
         d->set_idx(dimensions[i].second);
     }
+    return Put(tid, pid, time, base::Slice(value), &pb_dimensions);
+}
+
+bool TabletClient::Put(uint32_t tid, uint32_t pid, uint64_t time, const base::Slice& value,
+            ::google::protobuf::RepeatedPtrField<::openmldb::api::Dimension>* dimensions) {
+    ::openmldb::api::PutRequest request;
+    request.set_time(time);
+    request.set_value(value.data(), value.size());
+    request.set_tid(tid);
+    request.set_pid(pid);
+    request.mutable_dimensions()->Swap(dimensions);
     ::openmldb::api::PutResponse response;
     bool ok =
         client_.SendRequest(&::openmldb::api::TabletServer_Stub::Put, &request, &response, FLAGS_request_timeout_ms, 1);
diff --git a/src/client/tablet_client.h b/src/client/tablet_client.h
index f955040a157..f9dfd897361 100644
--- a/src/client/tablet_client.h
+++ b/src/client/tablet_client.h
@@ -76,6 +76,9 @@ class TabletClient : public Client {
     bool Put(uint32_t tid, uint32_t pid, uint64_t time, const std::string& value,
              const std::vector<std::pair<std::string, uint32_t>>& dimensions);
 
+    bool Put(uint32_t tid, uint32_t pid, uint64_t time, const base::Slice& value,
+            ::google::protobuf::RepeatedPtrField<::openmldb::api::Dimension>* dimensions);
+
     bool Get(uint32_t tid, uint32_t pid, const std::string& pk, uint64_t time, std::string& value,  // NOLINT
              uint64_t& ts,                                                                          // NOLINT
              std::string& msg);                        ;                                             // NOLINT
diff --git a/src/sdk/sql_cluster_router.cc b/src/sdk/sql_cluster_router.cc
index 707338a6a6c..ccb7cc3cd4a 100644
--- a/src/sdk/sql_cluster_router.cc
+++ b/src/sdk/sql_cluster_router.cc
@@ -1433,6 +1433,68 @@ bool SQLClusterRouter::ExecuteInsert(const std::string& db, const std::string& s
     }
 }
 
+bool SQLClusterRouter::ExecuteInsert(const std::string& db, const std::string& name, int tid, int partition_num,
+                hybridse::sdk::ByteArrayPtr dimension, int dimension_len,
+                hybridse::sdk::ByteArrayPtr value, int len, hybridse::sdk::Status* status) {
+    RET_FALSE_IF_NULL_AND_WARN(status, "output status is nullptr");
+    if (dimension == nullptr || dimension_len <= 0 || value == nullptr || len <= 0 || partition_num <= 0) {
+        *status = {StatusCode::kCmdError, "invalid parameter"};
+        return false;
+    }
+    std::vector<std::shared_ptr<::openmldb::catalog::TabletAccessor>> tablets;
+    bool ret = cluster_sdk_->GetTablet(db, name, &tablets);
+    if (!ret || tablets.empty()) {
+        status->msg = "fail to get table " + name + " tablet";
+        return false;
+    }
+    std::map<uint32_t, ::google::protobuf::RepeatedPtrField<::openmldb::api::Dimension>> dimensions_map;
+    int pos = 0;
+    while (pos < dimension_len) {
+        int idx = *(reinterpret_cast<int*>(dimension + pos));
+        pos += sizeof(int);
+        int key_len = *(reinterpret_cast<int*>(dimension + pos));
+        pos += sizeof(int);
+        base::Slice key(dimension + pos, key_len);
+        uint32_t pid = static_cast<uint32_t>(::openmldb::base::hash64(key.data(), key.size()) % partition_num);
+        auto it = dimensions_map.find(pid);
+        if (it == dimensions_map.end()) {
+            it = dimensions_map.emplace(pid, ::google::protobuf::RepeatedPtrField<::openmldb::api::Dimension>()).first;
+        }
+        auto dim = it->second.Add();
+        dim->set_idx(idx);
+        dim->set_key(key.data(), key.size());
+        pos += key_len;
+    }
+    base::Slice row_value(value, len);
+    uint64_t cur_ts = ::baidu::common::timer::get_micros() / 1000;
+    for (auto& kv : dimensions_map) {
+        uint32_t pid = kv.first;
+        if (pid < tablets.size()) {
+            auto tablet = tablets[pid];
+            if (tablet) {
+                auto client = tablet->GetClient();
+                if (client) {
+                    DLOG(INFO) << "put data to endpoint " << client->GetEndpoint() << " with dimensions size "
+                               << kv.second.size();
+                    bool ret = client->Put(tid, pid, cur_ts, row_value, &kv.second);
+                    if (!ret) {
+                        SET_STATUS_AND_WARN(status, StatusCode::kCmdError,
+                                "INSERT failed, tid " + std::to_string(tid) +
+                                ". Note that data might have been partially inserted. "
+                                "You are encouraged to perform DELETE to remove any partially "
+                                "inserted data before trying INSERT again.");
+                        return false;
+                    }
+                    continue;
+                }
+            }
+        }
+        SET_STATUS_AND_WARN(status, StatusCode::kCmdError, "fail to get tablet client. pid " + std::to_string(pid));
+        return false;
+    }
+    return true;
+}
+
 bool SQLClusterRouter::GetSQLPlan(const std::string& sql, ::hybridse::node::NodeManager* nm,
                                   ::hybridse::node::PlanNodeList* plan) {
     if (nm == NULL || plan == NULL) return false;
diff --git a/src/sdk/sql_cluster_router.h b/src/sdk/sql_cluster_router.h
index 033bda8d090..d2e6b52b790 100644
--- a/src/sdk/sql_cluster_router.h
+++ b/src/sdk/sql_cluster_router.h
@@ -84,6 +84,10 @@ class SQLClusterRouter : public SQLRouter {
     bool ExecuteInsert(const std::string& db, const std::string& sql, std::shared_ptr<SQLInsertRows> rows,
                        hybridse::sdk::Status* status) override;
 
+    bool ExecuteInsert(const std::string& db, const std::string& name, int tid, int partition_num,
+                hybridse::sdk::ByteArrayPtr dimension, int dimension_len,
+                hybridse::sdk::ByteArrayPtr value, int len, hybridse::sdk::Status* status) override;
+
     bool ExecuteDelete(std::shared_ptr<SQLDeleteRow> row, hybridse::sdk::Status* status) override;
 
     std::shared_ptr<TableReader> GetTableReader() override;
diff --git a/src/sdk/sql_insert_row.h b/src/sdk/sql_insert_row.h
index bee50291b3c..ded1c824e19 100644
--- a/src/sdk/sql_insert_row.h
+++ b/src/sdk/sql_insert_row.h
@@ -29,12 +29,78 @@
 #include "codec/fe_row_codec.h"
 #include "node/sql_node.h"
 #include "proto/name_server.pb.h"
+#include "schema/schema_adapter.h"
 #include "sdk/base.h"
 
 namespace openmldb::sdk {
 
 typedef std::shared_ptr<std::map<uint32_t, std::shared_ptr<::hybridse::node::ConstNode>>> DefaultValueMap;
 
+// used in java to build InsertPreparedStatementCache
+class DefaultValueContainer {
+ public:
+    explicit DefaultValueContainer(const DefaultValueMap& default_map) : default_map_(default_map) {}
+
+    std::vector<uint32_t> GetAllPosition() {
+        std::vector<uint32_t> vec;
+        for (const auto& kv : *default_map_) {
+            vec.push_back(kv.first);
+        }
+        return vec;
+    }
+
+    bool IsValid(int idx) {
+        return idx >= 0 && idx < Size();
+    }
+
+    int Size() {
+        return default_map_->size();
+    }
+
+    bool IsNull(int idx) {
+        return default_map_->at(idx)->IsNull();
+    }
+
+    bool GetBool(int idx) {
+        return default_map_->at(idx)->GetBool();
+    }
+
+    int16_t GetSmallInt(int idx) {
+        return default_map_->at(idx)->GetSmallInt();
+    }
+
+    int32_t GetInt(int idx) {
+        return default_map_->at(idx)->GetInt();
+    }
+
+    int64_t GetBigInt(int idx) {
+        return default_map_->at(idx)->GetLong();
+    }
+
+    float GetFloat(int idx) {
+        return default_map_->at(idx)->GetFloat();
+    }
+
+    double GetDouble(int idx) {
+        return default_map_->at(idx)->GetDouble();
+    }
+
+    int32_t GetDate(int idx) {
+        return default_map_->at(idx)->GetInt();
+    }
+
+    int64_t GetTimeStamp(int idx) {
+        return default_map_->at(idx)->GetLong();
+    }
+
+    std::string GetString(int idx) {
+        return default_map_->at(idx)->GetStr();
+    }
+
+ private:
+    DefaultValueMap default_map_;
+};
+
 class SQLInsertRow {
  public:
     SQLInsertRow(std::shared_ptr<::openmldb::nameserver::TableInfo> table_info,
@@ -81,6 +147,14 @@ class SQLInsertRow {
                                                const std::vector<uint32_t>& stmt_column_idx_in_table,
                                                const std::shared_ptr<::hybridse::sdk::Schema>& schema);
 
+    std::shared_ptr<DefaultValueContainer> GetDefaultValue() {
+        return std::make_shared<DefaultValueContainer>(default_map_);
+    }
+
+    ::openmldb::nameserver::TableInfo GetTableInfo() {
+        return *table_info_;
+    }
+
  private:
     bool MakeDefault();
     void PackDimension(const std::string& val);
diff --git a/src/sdk/sql_router.h b/src/sdk/sql_router.h
index aa12b6dff56..f88cc0b00f9 100644
--- a/src/sdk/sql_router.h
+++ b/src/sdk/sql_router.h
@@ -110,6 +110,10 @@ class SQLRouter {
     virtual bool ExecuteInsert(const std::string& db, const std::string& sql,
                                std::shared_ptr<openmldb::sdk::SQLInsertRows> row, hybridse::sdk::Status* status) = 0;
 
+    virtual bool ExecuteInsert(const std::string& db, const std::string& name, int tid, int partition_num,
+                hybridse::sdk::ByteArrayPtr dimension, int dimension_len,
+                hybridse::sdk::ByteArrayPtr value, int len, hybridse::sdk::Status* status) = 0;
+
     virtual bool ExecuteDelete(std::shared_ptr<openmldb::sdk::SQLDeleteRow> row, hybridse::sdk::Status* status) = 0;
 
     virtual std::shared_ptr<openmldb::sdk::TableReader> GetTableReader() = 0;
diff --git a/src/sdk/sql_router_sdk.i b/src/sdk/sql_router_sdk.i
index 1146aeba42e..22ee63b3e6d 100644
--- a/src/sdk/sql_router_sdk.i
+++ b/src/sdk/sql_router_sdk.i
@@ -65,6 +65,7 @@
 %shared_ptr(openmldb::sdk::QueryFuture);
 %shared_ptr(openmldb::sdk::TableReader);
 %shared_ptr(hybridse::node::CreateTableLikeClause);
+%shared_ptr(openmldb::sdk::DefaultValueContainer);
 %template(VectorUint32) std::vector<uint32_t>;
 %template(VectorString) std::vector<std::string>;
 
@@ -93,6 +94,7 @@ using openmldb::sdk::ExplainInfo;
 using hybridse::sdk::ProcedureInfo;
 using openmldb::sdk::QueryFuture;
 using openmldb::sdk::TableReader;
+using openmldb::sdk::DefaultValueContainer;
 %}
 
 %include "sdk/sql_router.h"

From c2b7817fc80337126b62ef091d922da07dca5f46 Mon Sep 17 00:00:00 2001
From: aceforeverd <teapot@aceforeverd.com>
Date: Wed, 15 Nov 2023 10:11:44 +0800
Subject: [PATCH 23/27] feat(online): support last join (window) (#3565)

---
 cases/query/last_join_subquery_window.yml     | 406 ++++++++++++++++++
 .../toydb/src/tablet/tablet_catalog.cc        |  33 +-
 .../toydb/src/tablet/tablet_catalog.h         |   5 +-
 .../src/testing/toydb_engine_test_base.cc     |  21 +-
 hybridse/include/codec/row.h                  |   2 +-
 hybridse/include/codec/row_iterator.h         |   9 +-
 hybridse/include/codec/row_list.h             |   2 +-
 hybridse/include/vm/catalog.h                 |   1 +
 hybridse/include/vm/mem_catalog.h             |   9 +-
 hybridse/include/vm/physical_op.h             |  47 +-
 .../passes/physical/batch_request_optimize.cc |  21 +-
 .../physical/group_and_sort_optimized.cc      |  84 +++-
 .../physical/group_and_sort_optimized.h       |  13 +
 .../physical/transform_up_physical_pass.h     |   1 -
 hybridse/src/plan/planner.cc                  |   2 +-
 hybridse/src/testing/engine_test_base.cc      |   2 +
 hybridse/src/testing/engine_test_base.h       |   3 +-
 hybridse/src/vm/catalog_wrapper.cc            | 219 ++++++++++
 hybridse/src/vm/catalog_wrapper.h             | 292 +++++++++++++
 hybridse/src/vm/engine.cc                     |   2 +-
 hybridse/src/vm/generator.cc                  |   1 +
 hybridse/src/vm/generator.h                   |  35 +-
 hybridse/src/vm/internal/node_helper.cc       |  62 +++
 hybridse/src/vm/internal/node_helper.h        |   7 +
 hybridse/src/vm/mem_catalog.cc                |   2 -
 hybridse/src/vm/runner.cc                     | 138 ++++--
 hybridse/src/vm/runner.h                      |  68 +--
 hybridse/src/vm/transform.cc                  | 123 ++----
 hybridse/src/vm/transform.h                   |   9 -
 src/sdk/sql_sdk_test.h                        |   2 +
 30 files changed, 1351 insertions(+), 270 deletions(-)
 create mode 100644 cases/query/last_join_subquery_window.yml

diff --git a/cases/query/last_join_subquery_window.yml b/cases/query/last_join_subquery_window.yml
new file mode 100644
index 00000000000..81787f87e67
--- /dev/null
+++ b/cases/query/last_join_subquery_window.yml
@@ -0,0 +1,406 @@
+cases:
+  # ===================================================================
+  # LAST JOIN (WINDOW)
+  # ===================================================================
+  - id: 0
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",2,1590738989000]
+          - ["bb",3,1590738990000]
+          - ["cc",4,1590738991000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp"]
+        indexs: ["index1:c1:c4", "index2:c2:c4"]
+        rows:
+          - ["aa",1, 1590738989000]
+          - ["bb",3, 1590738990000]
+          - ["dd",4, 1590738991000]
+    sql: |
+      select t1.c1, tx.c1 as c1r, tx.c2 as c2r, agg
+      from t1 last join (
+        select c1, c2, count(c4) over w as agg
+        from t2
+        window w as (
+          partition by c1 order by c4
+          rows between 1 preceding and current row
+        )
+      )  tx
+      on t1.c2 = tx.c2
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg))
+        REQUEST_JOIN(type=LastJoin, condition=, left_keys=(), right_keys=(), index_keys=(t1.c2))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            PROJECT(type=Aggregation)
+              REQUEST_UNION(EXCLUDE_REQUEST_ROW, partition_keys=(), orders=(ASC), rows=(c4, 1 PRECEDING, 0 CURRENT), index_keys=(c1))
+                DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                DATA_PROVIDER(type=Partition, table=t2, index=index1)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, condition=, left_keys=(), right_keys=(), index_keys=(#5))
+            SIMPLE_PROJECT(sources=(#5 -> t1.c2))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(c1, c2, agg))
+                REQUEST_JOIN(type=kJoinTypeConcat)
+                  SIMPLE_PROJECT(sources=(c1, c2))
+                    DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                  PROJECT(type=Aggregation)
+                    REQUEST_UNION(EXCLUDE_REQUEST_ROW, partition_keys=(), orders=(ASC), rows=(c4, 1 PRECEDING, 0 CURRENT), index_keys=(c1))
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                      DATA_PROVIDER(type=Partition, table=t2, index=index1)
+    expect:
+      columns: ["c1 string", "c1r string", "c2r int", "agg int64"]
+      order: c1
+      data: |
+        aa, NULL, NULL, NULL
+        bb, bb, 3, 1
+        cc, dd, 4, 1
+  - id: 1
+    desc: last join window(attributes)
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",2,2000]
+          - ["bb",3,2000]
+          - ["cc",4,2000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp", "val int"]
+        indexs: ["index1:c1:c4", "index2:c2:c4"]
+        rows:
+          - ["aa",1, 1000, 1]
+          - ["aa",4, 2000, 2]
+          - ["bb",3, 3000, 3]
+          - ["dd",4, 8000, 4]
+          - ["dd",4, 7000, 5]
+          - ["dd",4, 9000, 6]
+    sql: |
+      select t1.c1, tx.c1 as c1r, tx.c2 as c2r, agg1, agg2
+      from t1 last join (
+        select c1, c2, c4,
+          count(c4) over w as agg1,
+          max(val) over w as agg2
+        from t2
+        window w as (
+          partition by c1 order by c4
+          rows between 2 preceding and current row
+          exclude current_row
+        )
+      )  tx
+      order by tx.c4
+      on t1.c2 = tx.c2
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg1, agg2))
+        REQUEST_JOIN(type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(t1.c2))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            PROJECT(type=Aggregation)
+              REQUEST_UNION(EXCLUDE_REQUEST_ROW, EXCLUDE_CURRENT_ROW, partition_keys=(), orders=(ASC), rows=(c4, 2 PRECEDING, 0 CURRENT), index_keys=(c1))
+                DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                DATA_PROVIDER(type=Partition, table=t2, index=index1)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg1, agg2))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(#5))
+            SIMPLE_PROJECT(sources=(#5 -> t1.c2))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(c1, c2, c4, agg1, agg2))
+                REQUEST_JOIN(type=kJoinTypeConcat)
+                  SIMPLE_PROJECT(sources=(c1, c2, c4))
+                    DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                  PROJECT(type=Aggregation)
+                    REQUEST_UNION(EXCLUDE_REQUEST_ROW, EXCLUDE_CURRENT_ROW, partition_keys=(), orders=(ASC), rows=(c4, 2 PRECEDING, 0 CURRENT), index_keys=(c1))
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                      DATA_PROVIDER(type=Partition, table=t2, index=index1)
+    expect:
+      columns: ["c1 string", "c1r string", "c2r int", "agg1 int64", 'agg2 int']
+      order: c1
+      data: |
+        aa, NULL, NULL, NULL, NULL
+        bb, bb, 3, 0, NULL
+        cc, dd, 4, 2, 5
+  - id: 2
+    # issue on join to (multiple windows), fix later
+    mode: batch-unsupport
+    desc: last join multiple windows
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",2,2000]
+          - ["bb",3,2000]
+          - ["cc",4,2000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp", "val int", "gp int"]
+        indexs: ["index1:c1:c4", "index2:c2:c4", "index3:gp:c4"]
+        rows:
+          - ["aa",1, 1000, 1, 0]
+          - ["aa",4, 2000, 2, 0]
+          - ["bb",3, 3000, 3, 1]
+          - ["dd",4, 8000, 4, 1]
+          - ["dd",4, 7000, 5, 1]
+          - ["dd",4, 9000, 6, 1]
+    sql: |
+      select t1.c1, tx.c1 as c1r, tx.c2 as c2r, agg1, agg2, agg3
+      from t1 last join (
+        select c1, c2, c4,
+          count(c4) over w1 as agg1,
+          max(val) over w1 as agg2,
+          min(val) over w2 as agg3
+        from t2
+        window w1 as (
+          partition by c1 order by c4
+          rows between 2 preceding and current row
+          exclude current_row
+        ),
+        w2 as (
+          partition by gp order by c4
+          rows_range between 3s preceding and current row
+          exclude current_time
+        )
+      )  tx
+      order by tx.c4
+      on t1.c2 = tx.c2
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg1, agg2, agg3))
+        REQUEST_JOIN(type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(t1.c2))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(c1, c2, c4, agg1, agg2, agg3))
+              REQUEST_JOIN(type=kJoinTypeConcat)
+                PROJECT(type=Aggregation)
+                  REQUEST_UNION(EXCLUDE_REQUEST_ROW, EXCLUDE_CURRENT_ROW, partition_keys=(), orders=(ASC), rows=(c4, 2 PRECEDING, 0 CURRENT), index_keys=(c1))
+                    DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                    DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                PROJECT(type=Aggregation)
+                  REQUEST_UNION(EXCLUDE_REQUEST_ROW, EXCLUDE_CURRENT_TIME, partition_keys=(), orders=(ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=(gp))
+                    DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                    DATA_PROVIDER(type=Partition, table=t2, index=index3)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg1, agg2, agg3))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(#5))
+            SIMPLE_PROJECT(sources=(#5 -> t1.c2))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(c1, c2, c4, agg1, agg2, agg3))
+                REQUEST_JOIN(type=kJoinTypeConcat)
+                  REQUEST_JOIN(type=kJoinTypeConcat)
+                    SIMPLE_PROJECT(sources=(c1, c2, c4))
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                    PROJECT(type=Aggregation)
+                      REQUEST_UNION(EXCLUDE_REQUEST_ROW, EXCLUDE_CURRENT_ROW, partition_keys=(), orders=(ASC), rows=(c4, 2 PRECEDING, 0 CURRENT), index_keys=(c1))
+                        DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                        DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                  PROJECT(type=Aggregation)
+                    REQUEST_UNION(EXCLUDE_REQUEST_ROW, EXCLUDE_CURRENT_TIME, partition_keys=(), orders=(ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=(gp))
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                      DATA_PROVIDER(type=Partition, table=t2, index=index3)
+    expect:
+      columns: ["c1 string", "c1r string", "c2r int", "agg1 int64", 'agg2 int', 'agg3 int']
+      order: c1
+      data: |
+        aa, NULL, NULL, NULL, NULL, NULL
+        bb, bb, 3, 0, NULL, NULL
+        cc, dd, 4, 2, 5, 4
+  - id: 3
+    desc: last join window union
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",2,2000]
+          - ["bb",3,2000]
+          - ["cc",4,2000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp", "val int"]
+        indexs: ["index1:c1:c4", "index2:c2:c4" ]
+        rows:
+          - ["aa",1, 1000, 1]
+          - ["aa",4, 2000, 2]
+          - ["bb",3, 3000, 3]
+          - ["dd",4, 8000, 4]
+          - ["dd",4, 9000, 6]
+      - name: t3
+        columns: ["c1 string", "c2 int", "c4 timestamp", "val int"]
+        indexs: ["index1:c1:c4", "index2:c2:c4"]
+        rows:
+          - ["aa", 2, 1000, 5]
+          - ["bb", 3, 2000, 8]
+          - ["dd", 4, 4000, 12]
+          - ["dd", 4, 7000, 10]
+          - ["dd", 4, 6000, 11]
+          - ["dd", 4, 10000, 100]
+    sql: |
+      select t1.c1, tx.c1 as c1r, tx.c2 as c2r, agg1, agg2
+      from t1 last join (
+        select c1, c2, c4,
+          count(c4) over w1 as agg1,
+          max(val) over w1 as agg2,
+        from t2
+        window w1 as (
+          union t3
+          partition by c1 order by c4
+          rows_range between 3s preceding and current row
+          instance_not_in_window exclude current_row
+        )
+      )  tx
+      order by tx.c4
+      on t1.c2 = tx.c2
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg1, agg2))
+        REQUEST_JOIN(type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(t1.c2))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            PROJECT(type=Aggregation)
+              REQUEST_UNION(EXCLUDE_CURRENT_ROW, INSTANCE_NOT_IN_WINDOW, partition_keys=(c1), orders=(c4 ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=)
+                +-UNION(partition_keys=(), orders=(ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=(c1))
+                    RENAME(name=t2)
+                      DATA_PROVIDER(type=Partition, table=t3, index=index1)
+                DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                DATA_PROVIDER(table=t2)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg1, agg2))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(#5))
+            SIMPLE_PROJECT(sources=(#5 -> t1.c2))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(c1, c2, c4, agg1, agg2))
+                REQUEST_JOIN(type=kJoinTypeConcat)
+                  SIMPLE_PROJECT(sources=(c1, c2, c4))
+                    DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                  PROJECT(type=Aggregation)
+                    REQUEST_UNION(EXCLUDE_CURRENT_ROW, INSTANCE_NOT_IN_WINDOW, partition_keys=(c1), orders=(c4 ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=)
+                      +-UNION(partition_keys=(), orders=(ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=(c1))
+                          RENAME(name=t2)
+                            DATA_PROVIDER(type=Partition, table=t3, index=index1)
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                      DATA_PROVIDER(table=t2)
+    expect:
+      columns: ["c1 string", "c1r string", "c2r int", "agg1 int64", 'agg2 int']
+      order: c1
+      data: |
+        aa, NULL, NULL, NULL, NULL
+        bb, bb, 3, 1, 8
+        cc, dd, 4, 2, 11
+  - id: 4
+    desc: last join mulitple window union
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",2,2000]
+          - ["bb",3,2000]
+          - ["cc",4,2000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp", "val int"]
+        indexs: ["index1:c1:c4", "index2:c2:c4" ]
+        rows:
+          - ["aa",1, 1000, 1]
+          - ["aa",4, 2000, 2]
+          - ["bb",3, 3000, 3]
+          - ["dd",4, 8000, 4]
+          - ["dd",4, 9000, 6]
+      - name: t3
+        columns: ["c1 string", "c2 int", "c4 timestamp", "val int"]
+        indexs: ["index1:c1:c4", "index2:c2:c4"]
+        rows:
+          - ["aa", 2, 1000, 5]
+          - ["bb", 3, 2000, 8]
+          - ["dd", 4, 4000, 12]
+          - ["dd", 4, 7000, 10]
+          - ["dd", 4, 6000, 11]
+          - ["dd", 4, 10000, 100]
+    sql: |
+      select t1.c1, tx.c1 as c1r, tx.c2 as c2r, agg1, agg2, agg3
+      from t1 last join (
+        select c1, c2, c4,
+          count(c4) over w1 as agg1,
+          max(val) over w1 as agg2,
+          min(val) over w2 as agg3
+        from t2
+        window w1 as (
+          union t3
+          partition by c1 order by c4
+          rows_range between 3s preceding and current row
+          instance_not_in_window exclude current_row
+        ),
+        w2 as (
+          union t3
+          partition by c1 order by c4
+          rows between 2 preceding and current row
+          instance_not_in_window
+        )
+      )  tx
+      order by tx.c4
+      on t1.c2 = tx.c2
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg1, agg2, agg3))
+        REQUEST_JOIN(type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(t1.c2))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(c1, c2, c4, agg1, agg2, agg3))
+              REQUEST_JOIN(type=kJoinTypeConcat)
+                PROJECT(type=Aggregation)
+                  REQUEST_UNION(EXCLUDE_CURRENT_ROW, INSTANCE_NOT_IN_WINDOW, partition_keys=(c1), orders=(c4 ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=)
+                    +-UNION(partition_keys=(), orders=(ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=(c1))
+                        RENAME(name=t2)
+                          DATA_PROVIDER(type=Partition, table=t3, index=index1)
+                    DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                    DATA_PROVIDER(table=t2)
+                PROJECT(type=Aggregation)
+                  REQUEST_UNION(INSTANCE_NOT_IN_WINDOW, partition_keys=(c1), orders=(c4 ASC), rows=(c4, 2 PRECEDING, 0 CURRENT), index_keys=)
+                    +-UNION(partition_keys=(), orders=(ASC), rows=(c4, 2 PRECEDING, 0 CURRENT), index_keys=(c1))
+                        RENAME(name=t2)
+                          DATA_PROVIDER(type=Partition, table=t3, index=index1)
+                    DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                    DATA_PROVIDER(table=t2)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1r, tx.c2 -> c2r, agg1, agg2, agg3))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(#5))
+            SIMPLE_PROJECT(sources=(#5 -> t1.c2))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(c1, c2, c4, agg1, agg2, agg3))
+                REQUEST_JOIN(type=kJoinTypeConcat)
+                  REQUEST_JOIN(type=kJoinTypeConcat)
+                    SIMPLE_PROJECT(sources=(c1, c2, c4))
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                    PROJECT(type=Aggregation)
+                      REQUEST_UNION(EXCLUDE_CURRENT_ROW, INSTANCE_NOT_IN_WINDOW, partition_keys=(c1), orders=(c4 ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=)
+                        +-UNION(partition_keys=(), orders=(ASC), range=(c4, 3000 PRECEDING, 0 CURRENT), index_keys=(c1))
+                            RENAME(name=t2)
+                              DATA_PROVIDER(type=Partition, table=t3, index=index1)
+                        DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                        DATA_PROVIDER(table=t2)
+                  PROJECT(type=Aggregation)
+                    REQUEST_UNION(INSTANCE_NOT_IN_WINDOW, partition_keys=(c1), orders=(c4 ASC), rows=(c4, 2 PRECEDING, 0 CURRENT), index_keys=)
+                      +-UNION(partition_keys=(), orders=(ASC), rows=(c4, 2 PRECEDING, 0 CURRENT), index_keys=(c1))
+                          RENAME(name=t2)
+                            DATA_PROVIDER(type=Partition, table=t3, index=index1)
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                      DATA_PROVIDER(table=t2)
+    expect:
+      columns: ["c1 string", "c1r string", "c2r int", "agg1 int64", 'agg2 int', "agg3 int"]
+      order: c1
+      data: |
+        aa, NULL, NULL, NULL, NULL, NULL
+        bb, bb, 3, 1, 8, 3
+        cc, dd, 4, 2, 11, 6
diff --git a/hybridse/examples/toydb/src/tablet/tablet_catalog.cc b/hybridse/examples/toydb/src/tablet/tablet_catalog.cc
index feeb750ab6f..71c2f34f407 100644
--- a/hybridse/examples/toydb/src/tablet/tablet_catalog.cc
+++ b/hybridse/examples/toydb/src/tablet/tablet_catalog.cc
@@ -136,22 +136,6 @@ RowIterator* TabletTableHandler::GetRawIterator() {
     return new storage::FullTableIterator(table_->GetSegments(),
                                           table_->GetSegCnt(), table_);
 }
-const uint64_t TabletTableHandler::GetCount() {
-    auto iter = GetIterator();
-    uint64_t cnt = 0;
-    while (iter->Valid()) {
-        iter->Next();
-        cnt++;
-    }
-    return cnt;
-}
-Row TabletTableHandler::At(uint64_t pos) {
-    auto iter = GetIterator();
-    while (pos-- > 0 && iter->Valid()) {
-        iter->Next();
-    }
-    return iter->Valid() ? iter->GetValue() : Row();
-}
 
 TabletCatalog::TabletCatalog() : tables_(), db_() {}
 
@@ -249,22 +233,6 @@ std::unique_ptr<WindowIterator> TabletSegmentHandler::GetWindowIterator(
     const std::string& idx_name) {
     return std::unique_ptr<WindowIterator>();
 }
-const uint64_t TabletSegmentHandler::GetCount() {
-    auto iter = GetIterator();
-    uint64_t cnt = 0;
-    while (iter->Valid()) {
-        cnt++;
-        iter->Next();
-    }
-    return cnt;
-}
-Row TabletSegmentHandler::At(uint64_t pos) {
-    auto iter = GetIterator();
-    while (pos-- > 0 && iter->Valid()) {
-        iter->Next();
-    }
-    return iter->Valid() ? iter->GetValue() : Row();
-}
 
 const uint64_t TabletPartitionHandler::GetCount() {
     auto iter = GetWindowIterator();
@@ -275,5 +243,6 @@ const uint64_t TabletPartitionHandler::GetCount() {
     }
     return cnt;
 }
+
 }  // namespace tablet
 }  // namespace hybridse
diff --git a/hybridse/examples/toydb/src/tablet/tablet_catalog.h b/hybridse/examples/toydb/src/tablet/tablet_catalog.h
index fa41140a495..dd5bea22c51 100644
--- a/hybridse/examples/toydb/src/tablet/tablet_catalog.h
+++ b/hybridse/examples/toydb/src/tablet/tablet_catalog.h
@@ -68,8 +68,6 @@ class TabletSegmentHandler : public TableHandler {
     std::unique_ptr<vm::RowIterator> GetIterator() override;
     RowIterator* GetRawIterator() override;
     std::unique_ptr<codec::WindowIterator> GetWindowIterator(const std::string& idx_name) override;
-    const uint64_t GetCount() override;
-    Row At(uint64_t pos) override;
     const std::string GetHandlerTypeName() override {
         return "TabletSegmentHandler";
     }
@@ -104,6 +102,7 @@ class TabletPartitionHandler
     std::unique_ptr<codec::WindowIterator> GetWindowIterator() override {
         return table_handler_->GetWindowIterator(index_name_);
     }
+
     const uint64_t GetCount() override;
 
     std::shared_ptr<TableHandler> GetSegment(const std::string& key) override {
@@ -152,8 +151,6 @@ class TabletTableHandler
     RowIterator* GetRawIterator() override;
     std::unique_ptr<codec::WindowIterator> GetWindowIterator(
         const std::string& idx_name);
-    virtual const uint64_t GetCount();
-    Row At(uint64_t pos) override;
 
     virtual std::shared_ptr<PartitionHandler> GetPartition(
         const std::string& index_name) {
diff --git a/hybridse/examples/toydb/src/testing/toydb_engine_test_base.cc b/hybridse/examples/toydb/src/testing/toydb_engine_test_base.cc
index fcaa71d8373..35a595b431e 100644
--- a/hybridse/examples/toydb/src/testing/toydb_engine_test_base.cc
+++ b/hybridse/examples/toydb/src/testing/toydb_engine_test_base.cc
@@ -15,8 +15,9 @@
  */
 
 #include "testing/toydb_engine_test_base.h"
+
+#include "absl/strings/str_join.h"
 #include "gtest/gtest.h"
-#include "gtest/internal/gtest-param-util.h"
 
 using namespace llvm;       // NOLINT (build/namespaces)
 using namespace llvm::orc;  // NOLINT (build/namespaces)
@@ -141,18 +142,12 @@ std::shared_ptr<tablet::TabletCatalog> BuildOnePkTableStorage(
     }
     return catalog;
 }
-void BatchRequestEngineCheckWithCommonColumnIndices(
-    const SqlCase& sql_case, const EngineOptions options,
-    const std::set<size_t>& common_column_indices) {
-    std::ostringstream oss;
-    for (size_t index : common_column_indices) {
-        oss << index << ",";
-    }
-    LOG(INFO) << "BatchRequestEngineCheckWithCommonColumnIndices: "
-                 "common_column_indices = ["
-              << oss.str() << "]";
-    ToydbBatchRequestEngineTestRunner engine_test(sql_case, options,
-                                                  common_column_indices);
+// Run check with common column index info
+void BatchRequestEngineCheckWithCommonColumnIndices(const SqlCase& sql_case, const EngineOptions options,
+                                                    const std::set<size_t>& common_column_indices) {
+    LOG(INFO) << "BatchRequestEngineCheckWithCommonColumnIndices: common_column_indices = ["
+              << absl::StrJoin(common_column_indices, ",") << "]";
+    ToydbBatchRequestEngineTestRunner engine_test(sql_case, options, common_column_indices);
     engine_test.RunCheck();
 }
 
diff --git a/hybridse/include/codec/row.h b/hybridse/include/codec/row.h
index cd6abb0a3a1..69158d41e85 100644
--- a/hybridse/include/codec/row.h
+++ b/hybridse/include/codec/row.h
@@ -54,7 +54,7 @@ class Row {
 
     inline int32_t size() const { return slice_.size(); }
     inline int32_t size(int32_t pos) const {
-        return 0 == pos ? slice_.size() : slices_[pos - 1].size();
+        return 0 == pos ? slice_.size() : slices_.at(pos - 1).size();
     }
 
     // Return true if the length of the referenced data is zero
diff --git a/hybridse/include/codec/row_iterator.h b/hybridse/include/codec/row_iterator.h
index 2075918666c..fa60d21a37e 100644
--- a/hybridse/include/codec/row_iterator.h
+++ b/hybridse/include/codec/row_iterator.h
@@ -71,7 +71,14 @@ class WindowIterator {
     virtual bool Valid() = 0;
     /// Return the RowIterator of current segment
     /// of dataset if Valid() return `true`.
-    virtual std::unique_ptr<RowIterator> GetValue() = 0;
+    virtual std::unique_ptr<RowIterator> GetValue() {
+        auto p = GetRawValue();
+        if (!p) {
+            return nullptr;
+        }
+
+        return std::unique_ptr<RowIterator>(p);
+    }
     /// Return the RowIterator of current segment
     /// of dataset if Valid() return `true`.
     virtual RowIterator *GetRawValue() = 0;
diff --git a/hybridse/include/codec/row_list.h b/hybridse/include/codec/row_list.h
index b32ad24c3eb..cfc83fae6a1 100644
--- a/hybridse/include/codec/row_list.h
+++ b/hybridse/include/codec/row_list.h
@@ -76,7 +76,7 @@ class ListV {
     virtual const uint64_t GetCount() {
         auto iter = GetIterator();
         uint64_t cnt = 0;
-        while (iter->Valid()) {
+        while (iter && iter->Valid()) {
             iter->Next();
             cnt++;
         }
diff --git a/hybridse/include/vm/catalog.h b/hybridse/include/vm/catalog.h
index 30e68316606..70a422f8924 100644
--- a/hybridse/include/vm/catalog.h
+++ b/hybridse/include/vm/catalog.h
@@ -217,6 +217,7 @@ class TableHandler : public DataHandler {
     virtual ~TableHandler() {}
 
     /// Return table column Types information.
+    /// TODO: rm it, never used
     virtual const Types& GetTypes() = 0;
 
     /// Return the index information
diff --git a/hybridse/include/vm/mem_catalog.h b/hybridse/include/vm/mem_catalog.h
index 2fc5df4960c..dffb17a8af1 100644
--- a/hybridse/include/vm/mem_catalog.h
+++ b/hybridse/include/vm/mem_catalog.h
@@ -25,8 +25,6 @@
 #include <string>
 #include <utility>
 #include <vector>
-#include "base/fe_slice.h"
-#include "codec/list_iterator_codec.h"
 #include "glog/logging.h"
 #include "vm/catalog.h"
 
@@ -674,6 +672,7 @@ class MemPartitionHandler
     IndexHint index_hint_;
     OrderType order_type_;
 };
+
 class ConcatTableHandler : public MemTimeTableHandler {
  public:
     ConcatTableHandler(std::shared_ptr<TableHandler> left, size_t left_slices,
@@ -692,19 +691,19 @@ class ConcatTableHandler : public MemTimeTableHandler {
         status_ = SyncValue();
         return MemTimeTableHandler::At(pos);
     }
-    std::unique_ptr<RowIterator> GetIterator() {
+    std::unique_ptr<RowIterator> GetIterator() override {
         if (status_.isRunning()) {
             status_ = SyncValue();
         }
         return MemTimeTableHandler::GetIterator();
     }
-    RowIterator* GetRawIterator() {
+    RowIterator* GetRawIterator() override {
         if (status_.isRunning()) {
             status_ = SyncValue();
         }
         return MemTimeTableHandler::GetRawIterator();
     }
-    virtual const uint64_t GetCount() {
+    const uint64_t GetCount() override {
         if (status_.isRunning()) {
             status_ = SyncValue();
         }
diff --git a/hybridse/include/vm/physical_op.h b/hybridse/include/vm/physical_op.h
index d2fdafb5349..0701bdda3a6 100644
--- a/hybridse/include/vm/physical_op.h
+++ b/hybridse/include/vm/physical_op.h
@@ -785,7 +785,11 @@ class PhysicalAggregationNode : public PhysicalProjectNode {
  public:
     PhysicalAggregationNode(PhysicalOpNode *node, const ColumnProjects &project, const node::ExprNode *condition)
         : PhysicalProjectNode(node, kAggregation, project, true), having_condition_(condition) {
-        output_type_ = kSchemaTypeRow;
+        if (node->GetOutputType() == kSchemaTypeGroup) {
+            output_type_ = kSchemaTypeGroup;
+        } else {
+            output_type_ = kSchemaTypeRow;
+        }
         fn_infos_.push_back(&having_condition_.fn_info());
     }
     virtual ~PhysicalAggregationNode() {}
@@ -1065,7 +1069,7 @@ class RequestWindowUnionList {
     RequestWindowUnionList() : window_unions_() {}
     virtual ~RequestWindowUnionList() {}
     void AddWindowUnion(PhysicalOpNode *node, const RequestWindowOp &window) {
-        window_unions_.push_back(std::make_pair(node, window));
+        window_unions_.emplace_back(node, window);
     }
     const PhysicalOpNode *GetKey(uint32_t index) {
         auto iter = window_unions_.begin();
@@ -1415,7 +1419,7 @@ class PhysicalRequestUnionNode : public PhysicalBinaryNode {
           instance_not_in_window_(false),
           exclude_current_time_(false),
           output_request_row_(true) {
-        output_type_ = kSchemaTypeTable;
+        InitOuptput();
 
         fn_infos_.push_back(&window_.partition_.fn_info());
         fn_infos_.push_back(&window_.index_key_.fn_info());
@@ -1427,7 +1431,7 @@ class PhysicalRequestUnionNode : public PhysicalBinaryNode {
           instance_not_in_window_(w_ptr->instance_not_in_window()),
           exclude_current_time_(w_ptr->exclude_current_time()),
           output_request_row_(true) {
-        output_type_ = kSchemaTypeTable;
+        InitOuptput();
 
         fn_infos_.push_back(&window_.partition_.fn_info());
         fn_infos_.push_back(&window_.sort_.fn_info());
@@ -1443,7 +1447,7 @@ class PhysicalRequestUnionNode : public PhysicalBinaryNode {
           instance_not_in_window_(instance_not_in_window),
           exclude_current_time_(exclude_current_time),
           output_request_row_(output_request_row) {
-        output_type_ = kSchemaTypeTable;
+        InitOuptput();
 
         fn_infos_.push_back(&window_.partition_.fn_info());
         fn_infos_.push_back(&window_.sort_.fn_info());
@@ -1455,7 +1459,8 @@ class PhysicalRequestUnionNode : public PhysicalBinaryNode {
     virtual void Print(std::ostream &output, const std::string &tab) const;
     const bool Valid() { return true; }
     static PhysicalRequestUnionNode *CastFrom(PhysicalOpNode *node);
-    bool AddWindowUnion(PhysicalOpNode *node) {
+    bool AddWindowUnion(PhysicalOpNode *node) { return AddWindowUnion(node, window_); }
+    bool AddWindowUnion(PhysicalOpNode *node, const RequestWindowOp& window) {
         if (nullptr == node) {
             LOG(WARNING) << "Fail to add window union : table is null";
             return false;
@@ -1472,9 +1477,8 @@ class PhysicalRequestUnionNode : public PhysicalBinaryNode {
                 << "Union Table and window input schema aren't consistent";
             return false;
         }
-        window_unions_.AddWindowUnion(node, window_);
-        RequestWindowOp &window_union =
-            window_unions_.window_unions_.back().second;
+        window_unions_.AddWindowUnion(node, window);
+        RequestWindowOp &window_union = window_unions_.window_unions_.back().second;
         fn_infos_.push_back(&window_union.partition_.fn_info());
         fn_infos_.push_back(&window_union.sort_.fn_info());
         fn_infos_.push_back(&window_union.range_.fn_info());
@@ -1484,11 +1488,10 @@ class PhysicalRequestUnionNode : public PhysicalBinaryNode {
 
     std::vector<PhysicalOpNode *> GetDependents() const override;
 
-    const bool instance_not_in_window() const {
-        return instance_not_in_window_;
-    }
-    const bool exclude_current_time() const { return exclude_current_time_; }
-    const bool output_request_row() const { return output_request_row_; }
+    bool instance_not_in_window() const { return instance_not_in_window_; }
+    bool exclude_current_time() const { return exclude_current_time_; }
+    bool output_request_row() const { return output_request_row_; }
+    void set_output_request_row(bool flag) { output_request_row_ = flag; }
     const RequestWindowOp &window() const { return window_; }
     const RequestWindowUnionList &window_unions() const {
         return window_unions_;
@@ -1506,10 +1509,20 @@ class PhysicalRequestUnionNode : public PhysicalBinaryNode {
     }
 
     RequestWindowOp window_;
-    const bool instance_not_in_window_;
-    const bool exclude_current_time_;
-    const bool output_request_row_;
+    bool instance_not_in_window_;
+    bool exclude_current_time_;
+    bool output_request_row_;
     RequestWindowUnionList window_unions_;
+
+ private:
+    void InitOuptput() {
+        auto left = GetProducer(0);
+        if (left->GetOutputType() == kSchemaTypeRow) {
+            output_type_ = kSchemaTypeTable;
+        } else {
+            output_type_ = kSchemaTypeGroup;
+        }
+    }
 };
 
 class PhysicalRequestAggUnionNode : public PhysicalOpNode {
diff --git a/hybridse/src/passes/physical/batch_request_optimize.cc b/hybridse/src/passes/physical/batch_request_optimize.cc
index 52488e6a981..86fdfee92c5 100644
--- a/hybridse/src/passes/physical/batch_request_optimize.cc
+++ b/hybridse/src/passes/physical/batch_request_optimize.cc
@@ -269,6 +269,7 @@ static Status UpdateProjectExpr(
     return replacer.Replace(expr->DeepCopy(ctx->node_manager()), output);
 }
 
+// simplify simple project, remove orphan descendant producer nodes
 static Status CreateSimplifiedProject(PhysicalPlanContext* ctx,
                                       PhysicalOpNode* input,
                                       const ColumnProjects& projects,
@@ -279,8 +280,7 @@ static Status CreateSimplifiedProject(PhysicalPlanContext* ctx,
         can_project = false;
         for (size_t i = 0; i < cur_input->producers().size(); ++i) {
             auto cand_input = cur_input->GetProducer(i);
-            if (cand_input->GetOutputType() !=
-                PhysicalSchemaType::kSchemaTypeRow) {
+            if (cand_input->GetOutputType() != PhysicalSchemaType::kSchemaTypeRow) {
                 continue;
             }
             bool is_valid = true;
@@ -949,21 +949,16 @@ Status CommonColumnOptimize::ProcessJoin(PhysicalPlanContext* ctx,
         }
     } else if (is_non_common_join) {
         // join only depend on non-common left part
-        if (left_state->non_common_op == join_op->GetProducer(0) &&
-            right == join_op->GetProducer(1)) {
+        if (left_state->non_common_op == join_op->GetProducer(0) && right == join_op->GetProducer(1)) {
             state->common_op = nullptr;
             state->non_common_op = join_op;
         } else {
             PhysicalRequestJoinNode* new_join = nullptr;
-            CHECK_STATUS(ctx->CreateOp<PhysicalRequestJoinNode>(
-                &new_join, left_state->non_common_op, right, join_op->join(),
-                join_op->output_right_only()));
-            CHECK_STATUS(ReplaceComponentExpr(
-                join_op->join(), join_op->joined_schemas_ctx(),
-                new_join->joined_schemas_ctx(), ctx->node_manager(),
-                &new_join->join_));
-            state->common_op =
-                join_op->output_right_only() ? nullptr : left_state->common_op;
+            CHECK_STATUS(ctx->CreateOp<PhysicalRequestJoinNode>(&new_join, left_state->non_common_op, right,
+                                                                join_op->join(), join_op->output_right_only()));
+            CHECK_STATUS(ReplaceComponentExpr(join_op->join(), join_op->joined_schemas_ctx(),
+                                              new_join->joined_schemas_ctx(), ctx->node_manager(), &new_join->join_));
+            state->common_op = join_op->output_right_only() ? nullptr : left_state->common_op;
             state->non_common_op = new_join;
             if (!join_op->output_right_only()) {
                 for (size_t left_idx : left_state->common_column_indices) {
diff --git a/hybridse/src/passes/physical/group_and_sort_optimized.cc b/hybridse/src/passes/physical/group_and_sort_optimized.cc
index ae333b6af47..2d51b336167 100644
--- a/hybridse/src/passes/physical/group_and_sort_optimized.cc
+++ b/hybridse/src/passes/physical/group_and_sort_optimized.cc
@@ -25,6 +25,7 @@
 #include "absl/cleanup/cleanup.h"
 #include "absl/status/status.h"
 #include "absl/strings/string_view.h"
+#include "node/node_enum.h"
 #include "vm/physical_op.h"
 
 namespace hybridse {
@@ -294,6 +295,7 @@ bool GroupAndSortOptimized::KeysOptimized(const SchemasContext* root_schemas_ctx
 
     absl::Cleanup clean = [&]() {
         expr_cache_.clear();
+        optimize_info_ = nullptr;
     };
 
     auto s = BuildExprCache(left_key->keys(), root_schemas_ctx);
@@ -347,6 +349,18 @@ bool GroupAndSortOptimized::KeysOptimizedImpl(const SchemasContext* root_schemas
 
         if (DataProviderType::kProviderTypeTable == scan_op->provider_type_ ||
             DataProviderType::kProviderTypePartition == scan_op->provider_type_) {
+            auto* table_node = dynamic_cast<vm::PhysicalDataProviderNode*>(scan_op);
+            if (optimize_info_) {
+                if (optimize_info_->left_key == left_key && optimize_info_->index_key == index_key &&
+                    optimize_info_->right_key == right_key && optimize_info_->sort_key == sort) {
+                    if (optimize_info_->optimized != nullptr &&
+                        table_node->GetDb() == optimize_info_->optimized->GetDb() &&
+                        table_node->GetName() == optimize_info_->optimized->GetName()) {
+                        *new_in = optimize_info_->optimized;
+                        return true;
+                    }
+                }
+            }
             const node::ExprListNode* right_partition =
                 right_key == nullptr ? left_key->keys() : right_key->keys();
 
@@ -453,13 +467,15 @@ bool GroupAndSortOptimized::KeysOptimizedImpl(const SchemasContext* root_schemas
                     dynamic_cast<node::OrderByNode*>(node_manager_->MakeOrderByNode(node_manager_->MakeExprList(
                         node_manager_->MakeOrderExpression(nullptr, first_order_expression->is_asc())))));
             }
+
+            optimize_info_.reset(new OptimizeInfo(left_key, index_key, right_key, sort, partition_op));
             *new_in = partition_op;
             return true;
         }
     } else if (PhysicalOpType::kPhysicalOpSimpleProject == in->GetOpType()) {
         PhysicalOpNode* new_depend;
-        if (!KeysOptimizedImpl(in->GetProducer(0)->schemas_ctx(), in->GetProducer(0), left_key, index_key, right_key, sort,
-                           &new_depend)) {
+        if (!KeysOptimizedImpl(in->GetProducer(0)->schemas_ctx(), in->GetProducer(0), left_key, index_key, right_key,
+                               sort, &new_depend)) {
             return false;
         }
 
@@ -493,7 +509,8 @@ bool GroupAndSortOptimized::KeysOptimizedImpl(const SchemasContext* root_schemas
         PhysicalFilterNode* filter_op = dynamic_cast<PhysicalFilterNode*>(in);
 
         PhysicalOpNode* new_depend;
-        if (!KeysOptimizedImpl(root_schemas_ctx, in->producers()[0], left_key, index_key, right_key, sort, &new_depend)) {
+        if (!KeysOptimizedImpl(root_schemas_ctx, in->producers()[0], left_key, index_key, right_key, sort,
+                               &new_depend)) {
             return false;
         }
         PhysicalFilterNode* new_filter = nullptr;
@@ -515,8 +532,16 @@ bool GroupAndSortOptimized::KeysOptimizedImpl(const SchemasContext* root_schemas
                            &new_depend)) {
             return false;
         }
+        PhysicalOpNode* new_right = in->GetProducer(1);
+        if (request_join->join_.join_type_ == node::kJoinTypeConcat) {
+            // for concat join, only acceptable if the two inputs (of course same table) optimized by the same index
+            auto* rebase_sc = in->GetProducer(1)->schemas_ctx();
+            if (!KeysOptimizedImpl(rebase_sc, in->GetProducer(1), left_key, index_key, right_key, sort, &new_right)) {
+                return false;
+            }
+        }
         PhysicalRequestJoinNode* new_join = nullptr;
-        auto s = plan_ctx_->CreateOp<PhysicalRequestJoinNode>(&new_join, new_depend, request_join->GetProducer(1),
+        auto s = plan_ctx_->CreateOp<PhysicalRequestJoinNode>(&new_join, new_depend, new_right,
                                                               request_join->join(), request_join->output_right_only());
         if (!s.isOK()) {
             LOG(WARNING) << "Fail to create new request join op: " << s;
@@ -545,6 +570,57 @@ bool GroupAndSortOptimized::KeysOptimizedImpl(const SchemasContext* root_schemas
 
         *new_in = new_join;
         return true;
+    } else if (PhysicalOpType::kPhysicalOpProject == in->GetOpType()) {
+        auto * project = dynamic_cast<PhysicalProjectNode*>(in);
+        if (project == nullptr || project->project_type_ != vm::kAggregation) {
+            return false;
+        }
+
+        auto * agg_project = dynamic_cast<vm::PhysicalAggregationNode*>(in);
+
+        PhysicalOpNode* new_depend = nullptr;
+        auto* rebase_sc = in->GetProducer(0)->schemas_ctx();
+        if (!KeysOptimizedImpl(rebase_sc, in->GetProducer(0), left_key, index_key, right_key, sort,
+                           &new_depend)) {
+            return false;
+        }
+
+        vm::PhysicalAggregationNode* new_agg = nullptr;
+        if (!plan_ctx_
+                 ->CreateOp<vm::PhysicalAggregationNode>(&new_agg, new_depend, agg_project->project(),
+                                                         agg_project->having_condition_.condition())
+                 .isOK()) {
+            return false;
+        }
+        *new_in = new_agg;
+        return true;
+    } else if (PhysicalOpType::kPhysicalOpRequestUnion == in->GetOpType()) {
+        // JOIN (..., AGG(REQUEST_UNION(left, ...))): JOIN condition optimizing left
+        PhysicalOpNode* new_left_depend = nullptr;
+        auto* rebase_sc = in->GetProducer(0)->schemas_ctx();
+        if (!KeysOptimizedImpl(rebase_sc, in->GetProducer(0), left_key, index_key, right_key, sort,
+                           &new_left_depend)) {
+            return false;
+        }
+
+        auto * request_union = dynamic_cast<vm::PhysicalRequestUnionNode*>(in);
+
+        vm::PhysicalRequestUnionNode* new_union = nullptr;
+        if (!plan_ctx_
+                 ->CreateOp<vm::PhysicalRequestUnionNode>(
+                     &new_union, new_left_depend, in->GetProducer(1), request_union->window(),
+                     request_union->instance_not_in_window(), request_union->exclude_current_time(),
+                     request_union->output_request_row())
+                 .isOK()) {
+            return false;
+        }
+        for (auto& pair : request_union->window_unions().window_unions_) {
+            if (!new_union->AddWindowUnion(pair.first, pair.second)) {
+                return false;
+            }
+        }
+        *new_in = new_union;
+        return true;
     }
     return false;
 }
diff --git a/hybridse/src/passes/physical/group_and_sort_optimized.h b/hybridse/src/passes/physical/group_and_sort_optimized.h
index 1d410f2b8e8..2e50571b29d 100644
--- a/hybridse/src/passes/physical/group_and_sort_optimized.h
+++ b/hybridse/src/passes/physical/group_and_sort_optimized.h
@@ -93,6 +93,17 @@ class GroupAndSortOptimized : public TransformUpPysicalPass {
         std::string db_name;
     };
 
+    struct OptimizeInfo {
+        OptimizeInfo(const Key* left_key, const Key* index_key, const Key* right_key, const Sort* s,
+                     vm::PhysicalPartitionProviderNode* optimized)
+            : left_key(left_key), index_key(index_key), right_key(right_key), sort_key(s), optimized(optimized) {}
+        const Key* left_key;
+        const Key* index_key;
+        const Key* right_key;
+        const Sort* sort_key;
+        vm::PhysicalPartitionProviderNode* optimized;
+    };
+
  private:
     bool Transform(PhysicalOpNode* in, PhysicalOpNode** output);
 
@@ -149,6 +160,8 @@ class GroupAndSortOptimized : public TransformUpPysicalPass {
     // A source column name is the column name in string that refers to a physical table,
     // only one table got optimized each time
     std::unordered_map<const node::ColumnRefNode*, SrcColInfo> expr_cache_;
+
+    std::unique_ptr<OptimizeInfo> optimize_info_;
 };
 }  // namespace passes
 }  // namespace hybridse
diff --git a/hybridse/src/passes/physical/transform_up_physical_pass.h b/hybridse/src/passes/physical/transform_up_physical_pass.h
index fed721d4c66..a9a80bd90b4 100644
--- a/hybridse/src/passes/physical/transform_up_physical_pass.h
+++ b/hybridse/src/passes/physical/transform_up_physical_pass.h
@@ -17,7 +17,6 @@
 #define HYBRIDSE_SRC_PASSES_PHYSICAL_TRANSFORM_UP_PHYSICAL_PASS_H_
 
 #include <memory>
-#include <set>
 #include <string>
 #include <unordered_map>
 
diff --git a/hybridse/src/plan/planner.cc b/hybridse/src/plan/planner.cc
index 1584d76acbb..fc350d1ffb6 100644
--- a/hybridse/src/plan/planner.cc
+++ b/hybridse/src/plan/planner.cc
@@ -272,7 +272,7 @@ base::Status Planner::CreateSelectQueryPlan(const node::SelectQueryNode *root, n
         auto first_window_project = dynamic_cast<node::ProjectListNode *>(project_list_vec[1]);
         node::ProjectListNode *merged_project =
             node_manager_->MakeProjectListPlanNode(first_window_project->GetW(), true);
-        if (!is_cluster_optimized_ && !enable_batch_window_parallelization_ &&
+        if  (!is_cluster_optimized_ && !enable_batch_window_parallelization_ &&
             node::ProjectListNode::MergeProjectList(simple_project, first_window_project, merged_project)) {
             project_list_vec[0] = nullptr;
             project_list_vec[1] = merged_project;
diff --git a/hybridse/src/testing/engine_test_base.cc b/hybridse/src/testing/engine_test_base.cc
index 2c3134d1257..9a0ad6fdd39 100644
--- a/hybridse/src/testing/engine_test_base.cc
+++ b/hybridse/src/testing/engine_test_base.cc
@@ -536,6 +536,8 @@ INSTANTIATE_TEST_SUITE_P(EngineLastJoinQuery, EngineTest,
 
 INSTANTIATE_TEST_SUITE_P(EngineLastJoinWindowQuery, EngineTest,
                         testing::ValuesIn(sqlcase::InitCases("cases/query/last_join_window_query.yaml")));
+INSTANTIATE_TEST_SUITE_P(EngineLastJoinSubqueryWindow, EngineTest,
+                        testing::ValuesIn(sqlcase::InitCases("cases/query/last_join_subquery_window.yml")));
 INSTANTIATE_TEST_SUITE_P(EngineLastJoinWhere, EngineTest,
                         testing::ValuesIn(sqlcase::InitCases("cases/query/last_join_where.yaml")));
 INSTANTIATE_TEST_SUITE_P(EngineWindowQuery, EngineTest,
diff --git a/hybridse/src/testing/engine_test_base.h b/hybridse/src/testing/engine_test_base.h
index e759169f0fd..0805ff1b3c5 100644
--- a/hybridse/src/testing/engine_test_base.h
+++ b/hybridse/src/testing/engine_test_base.h
@@ -318,8 +318,7 @@ class BatchRequestEngineTestRunner : public EngineTestRunner {
 
         bool has_batch_request = !sql_case_.batch_request().columns_.empty();
         if (!has_batch_request) {
-            LOG(WARNING) << "No batch request field in case, "
-                         << "try use last row from primary input";
+            LOG(WARNING) << "No batch request field in case, try use last row from primary input";
         }
 
         std::vector<Row> original_request_data;
diff --git a/hybridse/src/vm/catalog_wrapper.cc b/hybridse/src/vm/catalog_wrapper.cc
index d134a92e51b..b10c6f1c55b 100644
--- a/hybridse/src/vm/catalog_wrapper.cc
+++ b/hybridse/src/vm/catalog_wrapper.cc
@@ -164,5 +164,224 @@ RowIterator* LazyLastJoinWindowIterator::GetRawValue() {
 
     return new LazyLastJoinIterator(std::move(iter), right_, parameter_, join_);
 }
+
+std::shared_ptr<TableHandler> ConcatPartitionHandler::GetSegment(const std::string& key) {
+    auto left_seg = left_->GetSegment(key);
+    auto right_seg = right_->GetSegment(key);
+    return std::shared_ptr<TableHandler>(
+        new SimpleConcatTableHandler(left_seg, left_slices_, right_seg, right_slices_));
+}
+
+RowIterator* ConcatPartitionHandler::GetRawIterator() {
+    auto li = left_->GetIterator();
+    if (!li) {
+        return nullptr;
+    }
+    auto ri = right_->GetIterator();
+    return new ConcatIterator(std::move(li), left_slices_, std::move(ri), right_slices_);
+}
+
+std::unique_ptr<RowIterator> ConcatPartitionHandler::GetIterator() {
+    auto p = GetRawIterator();
+    if (p == nullptr) {
+        return {};
+    }
+    return std::unique_ptr<RowIterator>(p);
+}
+
+std::unique_ptr<WindowIterator> LazyRequestUnionPartitionHandler::GetWindowIterator() {
+    auto w = left_->GetWindowIterator();
+    if (!w) {
+        return {};
+    }
+
+    return std::unique_ptr<WindowIterator>(new LazyRequestUnionWindowIterator(std::move(w), func_));
+}
+
+std::shared_ptr<TableHandler> LazyRequestUnionPartitionHandler::GetSegment(const std::string& key) {
+    return nullptr;
+}
+
+std::unique_ptr<RowIterator> LazyRequestUnionPartitionHandler::GetIterator() {
+    return std::unique_ptr<RowIterator>(GetRawIterator());
+}
+const IndexHint& LazyRequestUnionPartitionHandler::GetIndex() { return left_->GetIndex(); }
+
+const Types& LazyRequestUnionPartitionHandler::GetTypes() { return left_->GetTypes(); }
+
+base::ConstIterator<uint64_t, Row>* LazyRequestUnionPartitionHandler::GetRawIterator() { return nullptr; }
+bool LazyAggIterator::Valid() const { return it_->Valid(); }
+void LazyAggIterator::Next() { it_->Next(); }
+const uint64_t& LazyAggIterator::GetKey() const { return it_->GetKey(); }
+const Row& LazyAggIterator::GetValue() {
+    if (Valid()) {
+        auto request = it_->GetValue();
+        auto window = func_(request);
+        if (window) {
+            buf_ = agg_gen_->Gen(parameter_, window);
+            return buf_;
+        }
+    }
+
+    buf_ = Row();
+    return buf_;
+}
+
+void LazyAggIterator::Seek(const uint64_t& key) { it_->Seek(key); }
+void LazyAggIterator::SeekToFirst() { it_->SeekToFirst(); }
+std::unique_ptr<RowIterator> LazyAggTableHandler::GetIterator() {
+    auto* it = GetRawIterator();
+    if (it == nullptr) {
+        return {};
+    }
+    return std::unique_ptr<RowIterator>(it);
+}
+std::unique_ptr<WindowIterator> LazyAggTableHandler::GetWindowIterator(const std::string& idx_name) { return nullptr; }
+base::ConstIterator<uint64_t, Row>* LazyAggTableHandler::GetRawIterator() {
+    auto it = left_->GetIterator();
+    if (!it) {
+        return nullptr;
+    }
+    return new LazyAggIterator(std::move(it), func_, agg_gen_, parameter_);
+}
+std::shared_ptr<PartitionHandler> LazyAggTableHandler::GetPartition(const std::string& index_name) { return nullptr; }
+const Types& LazyAggTableHandler::GetTypes() { return left_->GetTypes(); }
+const IndexHint& LazyAggTableHandler::GetIndex() { return left_->GetIndex(); }
+const Schema* LazyAggTableHandler::GetSchema() { return nullptr; }
+const std::string& LazyAggTableHandler::GetName() { return left_->GetName(); }
+const std::string& LazyAggTableHandler::GetDatabase() { return left_->GetDatabase(); }
+std::shared_ptr<TableHandler> LazyAggPartitionHandler::GetSegment(const std::string& key) {
+    auto seg = input_->Left()->GetSegment(key);
+    return std::shared_ptr<TableHandler>(new LazyAggTableHandler(seg, input_->Func(), agg_gen_, parameter_));
+}
+const std::string LazyAggPartitionHandler::GetHandlerTypeName() { return "LazyLastJoinPartitionHandler"; }
+std::unique_ptr<RowIterator> LazyAggPartitionHandler::GetIterator() {
+    auto it = input_->Left()->GetIterator();
+    return std::unique_ptr<RowIterator>(new LazyAggIterator(std::move(it), input_->Func(), agg_gen_, parameter_));
+}
+base::ConstIterator<uint64_t, Row>* LazyAggPartitionHandler::GetRawIterator() { return nullptr; }
+bool ConcatIterator::Valid() const { return left_ && left_->Valid(); }
+void ConcatIterator::Next() {
+    left_->Next();
+    if (right_ && right_->Valid()) {
+        right_->Next();
+    }
+}
+const uint64_t& ConcatIterator::GetKey() const { return left_->GetKey(); }
+const Row& ConcatIterator::GetValue() {
+    if (!right_ || !right_->Valid()) {
+        buf_ = Row(left_slices_, left_->GetValue(), right_slices_, Row());
+    } else {
+        buf_ = Row(left_slices_, left_->GetValue(), right_slices_, right_->GetValue());
+    }
+    return buf_;
+}
+void ConcatIterator::Seek(const uint64_t& key) {
+    left_->Seek(key);
+    if (right_ && right_->Valid()) {
+        right_->Seek(key);
+    }
+}
+void ConcatIterator::SeekToFirst() {
+    left_->SeekToFirst();
+    if (right_) {
+        right_->SeekToFirst();
+    }
+}
+std::unique_ptr<RowIterator> SimpleConcatTableHandler::GetIterator() {
+    auto p = GetRawIterator();
+    if (p == nullptr) {
+        return {};
+    }
+    return std::unique_ptr<RowIterator>(p);
+}
+RowIterator* SimpleConcatTableHandler::GetRawIterator() {
+    auto li = left_->GetIterator();
+    if (!li) {
+        return nullptr;
+    }
+    auto ri = right_->GetIterator();
+    return new ConcatIterator(std::move(li), left_slices_, std::move(ri), right_slices_);
+}
+std::unique_ptr<WindowIterator> SimpleConcatTableHandler::GetWindowIterator(const std::string& idx_name) {
+    return nullptr;
+}
+std::unique_ptr<WindowIterator> ConcatPartitionHandler::GetWindowIterator() { return nullptr; }
+std::unique_ptr<WindowIterator> ConcatPartitionHandler::GetWindowIterator(const std::string& idx_name) {
+    return nullptr;
+}
+
+std::unique_ptr<WindowIterator> LazyAggPartitionHandler::GetWindowIterator() {
+    auto w = input_->Left()->GetWindowIterator();
+    return std::unique_ptr<WindowIterator>(
+        new LazyAggWindowIterator(std::move(w), input_->Func(), agg_gen_, parameter_));
+}
+
+RowIterator* LazyAggWindowIterator::GetRawValue() {
+    auto w = left_->GetValue();
+    if (!w) {
+        return nullptr;
+    }
+
+    return new LazyAggIterator(std::move(w), func_, agg_gen_, parameter_);
+}
+void LazyRequestUnionIterator::Next() {
+    if (Valid()) {
+        cur_iter_->Next();
+    }
+    if (!Valid()) {
+        left_->Next();
+        OnNewRow();
+    }
+}
+bool LazyRequestUnionIterator::Valid() const { return cur_iter_ && cur_iter_->Valid(); }
+void LazyRequestUnionIterator::Seek(const uint64_t& key) {
+    left_->Seek(key);
+    OnNewRow(false);
+}
+void LazyRequestUnionIterator::SeekToFirst() {
+    left_->SeekToFirst();
+    OnNewRow();
+}
+void LazyRequestUnionIterator::OnNewRow(bool continue_on_empty) {
+    while (left_->Valid()) {
+        auto row = left_->GetValue();
+        auto tb = func_(row);
+        if (tb) {
+            auto it = tb->GetIterator();
+            if (it) {
+                it->SeekToFirst();
+                if (it->Valid()) {
+                    cur_window_ = tb;
+                    cur_iter_ = std::move(it);
+                    break;
+                }
+            }
+        }
+
+        if (continue_on_empty) {
+            left_->Next();
+        } else {
+            cur_window_ = {};
+            cur_iter_ = {};
+            break;
+        }
+    }
+}
+const uint64_t& LazyRequestUnionIterator::GetKey() const { return cur_iter_->GetKey(); }
+const Row& LazyRequestUnionIterator::GetValue() { return cur_iter_->GetValue(); }
+RowIterator* LazyRequestUnionWindowIterator::GetRawValue() {
+    auto rows = left_->GetValue();
+    if (!rows) {
+        return {};
+    }
+
+    return new LazyRequestUnionIterator(std::move(rows), func_);
+}
+bool LazyRequestUnionWindowIterator::Valid() { return left_ && left_->Valid(); }
+const Row LazyRequestUnionWindowIterator::GetKey() { return left_->GetKey(); }
+void LazyRequestUnionWindowIterator::SeekToFirst() { left_->SeekToFirst(); }
+void LazyRequestUnionWindowIterator::Seek(const std::string& key) { left_->Seek(key); }
+void LazyRequestUnionWindowIterator::Next() { left_->Next(); }
 }  // namespace vm
 }  // namespace hybridse
diff --git a/hybridse/src/vm/catalog_wrapper.h b/hybridse/src/vm/catalog_wrapper.h
index 11441b4bf54..855eb1f703a 100644
--- a/hybridse/src/vm/catalog_wrapper.h
+++ b/hybridse/src/vm/catalog_wrapper.h
@@ -17,10 +17,12 @@
 #ifndef HYBRIDSE_SRC_VM_CATALOG_WRAPPER_H_
 #define HYBRIDSE_SRC_VM_CATALOG_WRAPPER_H_
 
+#include <functional>
 #include <memory>
 #include <string>
 #include <utility>
 
+#include "codec/row_iterator.h"
 #include "vm/catalog.h"
 #include "vm/generator.h"
 
@@ -705,6 +707,296 @@ class LazyLastJoinWindowIterator final : public codec::WindowIterator {
     std::shared_ptr<JoinGenerator> join_;
 };
 
+class LazyRequestUnionIterator final : public RowIterator {
+ public:
+    LazyRequestUnionIterator(std::unique_ptr<RowIterator>&& left,
+                             std::function<std::shared_ptr<TableHandler>(const Row&)> func)
+        : left_(std::move(left)), func_(func) {
+        SeekToFirst();
+    }
+    ~LazyRequestUnionIterator() override {}
+
+    bool Valid() const override;
+    void Next() override;
+    const uint64_t& GetKey() const override;
+    const Row& GetValue() override;
+    bool IsSeekable() const override { return true; }
+
+    void Seek(const uint64_t& key) override;
+    void SeekToFirst() override;
+
+ private:
+    void OnNewRow(bool continue_on_empty = true);
+
+ private:
+    // all same keys from left form a window, although it is better that every row be a partition
+    std::unique_ptr<RowIterator> left_;
+    std::function<std::shared_ptr<TableHandler>(const Row&)> func_;
+
+    std::shared_ptr<TableHandler> cur_window_;
+    std::unique_ptr<RowIterator> cur_iter_;
+};
+
+class LazyRequestUnionWindowIterator final : public codec::WindowIterator {
+ public:
+    LazyRequestUnionWindowIterator(std::unique_ptr<WindowIterator>&& left,
+                                     std::function<std::shared_ptr<TableHandler>(const Row&)> func)
+        : left_(std::move(left)), func_(func) {
+        SeekToFirst();
+    }
+    ~LazyRequestUnionWindowIterator() override {}
+
+    RowIterator* GetRawValue() override;
+
+    void Seek(const std::string& key) override;
+    void SeekToFirst() override;
+    void Next() override;
+    bool Valid() override;
+    const Row GetKey() override;
+
+ private:
+    std::unique_ptr<WindowIterator> left_;
+    std::function<std::shared_ptr<TableHandler>(const Row&)> func_;
+};
+
+class LazyRequestUnionPartitionHandler final : public PartitionHandler {
+ public:
+    LazyRequestUnionPartitionHandler(std::shared_ptr<PartitionHandler> left,
+                                     std::function<std::shared_ptr<TableHandler>(const Row&)> func)
+        : left_(left), func_(func) {}
+    ~LazyRequestUnionPartitionHandler() override {}
+
+    std::unique_ptr<WindowIterator> GetWindowIterator() override;
+
+    std::shared_ptr<TableHandler> GetSegment(const std::string& key) override;
+
+    const std::string GetHandlerTypeName() override { return "LazyRequestUnionPartitiontHandler"; }
+
+    std::unique_ptr<RowIterator> GetIterator() override;
+
+    const IndexHint& GetIndex() override;
+
+    // unimplemented
+    const Types& GetTypes() override;
+
+    // unimplemented
+    const Schema* GetSchema() override { return nullptr; }
+    const std::string& GetName() override { return left_->GetName(); }
+    const std::string& GetDatabase() override { return left_->GetDatabase(); }
+
+    base::ConstIterator<uint64_t, Row>* GetRawIterator() override;
+
+    auto Left() const { return left_; }
+    auto Func() const { return func_; }
+
+ private:
+    std::shared_ptr<PartitionHandler> left_;
+    std::function<std::shared_ptr<TableHandler>(const Row&)> func_;
+};
+
+class LazyAggIterator final : public RowIterator {
+ public:
+    LazyAggIterator(std::unique_ptr<RowIterator>&& it, std::function<std::shared_ptr<TableHandler>(const Row&)> func,
+                    std::shared_ptr<AggGenerator> agg_gen, const Row& param)
+        : it_(std::move(it)), func_(func), agg_gen_(agg_gen), parameter_(param) {
+        SeekToFirst();
+    }
+
+    ~LazyAggIterator() override {}
+
+    bool Valid() const override;
+    void Next() override;
+    const uint64_t& GetKey() const override;
+    const Row& GetValue() override;
+    bool IsSeekable() const override { return true; }
+
+    void Seek(const uint64_t& key) override;
+    void SeekToFirst() override;
+
+ private:
+    std::unique_ptr<RowIterator> it_;
+    std::function<std::shared_ptr<TableHandler>(const Row&)> func_;
+    std::shared_ptr<AggGenerator> agg_gen_;
+    const Row& parameter_;
+
+    Row buf_;
+};
+
+class LazyAggTableHandler final : public TableHandler {
+ public:
+    LazyAggTableHandler(std::shared_ptr<TableHandler> left,
+                        std::function<std::shared_ptr<TableHandler>(const Row&)> func,
+                        std::shared_ptr<AggGenerator> agg_gen, const Row& param)
+        : left_(left), func_(func), agg_gen_(agg_gen), parameter_(param) {
+        DLOG(INFO) << "iterator count = " << left_->GetCount();
+    }
+    ~LazyAggTableHandler() override {}
+
+    std::unique_ptr<RowIterator> GetIterator() override;
+
+    // unimplemented
+    const Types& GetTypes() override;
+    const IndexHint& GetIndex() override;
+    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override;
+    const Schema* GetSchema() override;
+    const std::string& GetName() override;
+    const std::string& GetDatabase() override;
+
+    base::ConstIterator<uint64_t, Row>* GetRawIterator() override;
+
+    std::shared_ptr<PartitionHandler> GetPartition(const std::string& index_name) override;
+
+ private:
+    std::shared_ptr<TableHandler> left_;
+    std::function<std::shared_ptr<TableHandler>(const Row&)> func_;
+    std::shared_ptr<AggGenerator> agg_gen_;
+    const Row& parameter_;
+};
+
+class LazyAggWindowIterator final : public codec::WindowIterator {
+ public:
+    LazyAggWindowIterator(std::unique_ptr<codec::WindowIterator> left,
+                          std::function<std::shared_ptr<TableHandler>(const Row&)> func,
+                          std::shared_ptr<AggGenerator> gen, const Row& p)
+        : left_(std::move(left)), func_(func), agg_gen_(gen), parameter_(p) {}
+    ~LazyAggWindowIterator() override {}
+
+    RowIterator* GetRawValue() override;
+
+    void Seek(const std::string& key) override { left_->Seek(key); }
+    void SeekToFirst() override { left_->SeekToFirst(); }
+    void Next() override { left_->Next(); }
+    bool Valid() override { return left_ && left_->Valid(); }
+    const Row GetKey() override { return left_->GetKey(); }
+
+ private:
+    std::unique_ptr<codec::WindowIterator> left_;
+    std::function<std::shared_ptr<TableHandler>(const Row&)> func_;
+    std::shared_ptr<AggGenerator> agg_gen_;
+    const Row& parameter_;
+};
+
+class LazyAggPartitionHandler final : public PartitionHandler {
+ public:
+    LazyAggPartitionHandler(std::shared_ptr<LazyRequestUnionPartitionHandler> input,
+                            std::shared_ptr<AggGenerator> agg_gen, const Row& param)
+        : input_(input), agg_gen_(agg_gen), parameter_(param) {}
+    ~LazyAggPartitionHandler() override {}
+
+    std::shared_ptr<TableHandler> GetSegment(const std::string& key) override;
+
+    const std::string GetHandlerTypeName() override;
+
+    std::unique_ptr<RowIterator> GetIterator() override;
+
+    std::unique_ptr<WindowIterator> GetWindowIterator() override;
+
+    const IndexHint& GetIndex() override { return input_->GetIndex(); }
+
+    // unimplemented
+    const Types& GetTypes() override { return input_->GetTypes(); }
+    const Schema* GetSchema() override { return nullptr; }
+    const std::string& GetName() override { return input_->GetName(); }
+    const std::string& GetDatabase() override { return input_->GetDatabase(); }
+    base::ConstIterator<uint64_t, Row>* GetRawIterator() override;
+
+ private:
+    std::shared_ptr<LazyRequestUnionPartitionHandler> input_;
+    std::shared_ptr<AggGenerator> agg_gen_;
+    const Row& parameter_;
+};
+
+class ConcatIterator final : public RowIterator {
+ public:
+    ConcatIterator(std::unique_ptr<RowIterator>&& left, size_t left_slices, std::unique_ptr<RowIterator>&& right,
+                   size_t right_slices)
+        : left_(std::move(left)), left_slices_(left_slices), right_(std::move(right)), right_slices_(right_slices) {
+        SeekToFirst();
+    }
+    ~ConcatIterator() override {}
+
+    bool Valid() const override;
+    void Next() override;
+    const uint64_t& GetKey() const override;
+    const Row& GetValue() override;
+
+    bool IsSeekable() const override { return true; };
+
+    void Seek(const uint64_t& key) override;
+
+    void SeekToFirst() override;
+
+ private:
+    std::unique_ptr<RowIterator> left_;
+    size_t left_slices_;
+    std::unique_ptr<RowIterator> right_;
+    size_t right_slices_;
+
+    Row buf_;
+};
+
+class SimpleConcatTableHandler final : public TableHandler {
+ public:
+    SimpleConcatTableHandler(std::shared_ptr<TableHandler> left, size_t left_slices,
+                           std::shared_ptr<TableHandler> right, size_t right_slices)
+        : left_(left), left_slices_(left_slices), right_(right), right_slices_(right_slices) {}
+    ~SimpleConcatTableHandler() override {}
+
+    std::unique_ptr<RowIterator> GetIterator() override;
+
+    RowIterator* GetRawIterator() override;
+
+    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override;
+
+    const Types& GetTypes() override { return left_->GetTypes(); }
+
+    const IndexHint& GetIndex() override { return left_->GetIndex(); }
+
+    // unimplemented
+    const Schema* GetSchema() override { return left_->GetSchema(); }
+    const std::string& GetName() override { return left_->GetName(); }
+    const std::string& GetDatabase() override { return left_->GetDatabase(); }
+
+ private:
+    std::shared_ptr<TableHandler> left_;
+    size_t left_slices_;
+    std::shared_ptr<TableHandler> right_;
+    size_t right_slices_;
+};
+
+class ConcatPartitionHandler final : public PartitionHandler {
+ public:
+    ConcatPartitionHandler(std::shared_ptr<PartitionHandler> left, size_t left_slices,
+                           std::shared_ptr<PartitionHandler> right, size_t right_slices)
+        : left_(left), left_slices_(left_slices), right_(right), right_slices_(right_slices) {}
+    ~ConcatPartitionHandler() override {}
+
+    std::unique_ptr<RowIterator> GetIterator() override;
+
+    RowIterator* GetRawIterator() override;
+
+    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override;
+
+    std::unique_ptr<WindowIterator> GetWindowIterator() override;
+
+    std::shared_ptr<TableHandler> GetSegment(const std::string& key) override;
+
+    const Types& GetTypes() override { return left_->GetTypes(); }
+
+    const IndexHint& GetIndex() override { return left_->GetIndex(); }
+
+    // unimplemented
+    const Schema* GetSchema() override { return nullptr; }
+    const std::string& GetName() override { return left_->GetName(); }
+    const std::string& GetDatabase() override { return left_->GetDatabase(); }
+
+ private:
+    std::shared_ptr<PartitionHandler> left_;
+    size_t left_slices_;
+    std::shared_ptr<PartitionHandler> right_;
+    size_t right_slices_;
+};
+
 }  // namespace vm
 }  // namespace hybridse
 
diff --git a/hybridse/src/vm/engine.cc b/hybridse/src/vm/engine.cc
index 4fdc368887e..fc88a6ccda1 100644
--- a/hybridse/src/vm/engine.cc
+++ b/hybridse/src/vm/engine.cc
@@ -153,7 +153,7 @@ bool Engine::Get(const std::string& sql, const std::string& db, RunSession& sess
     DLOG(INFO) << "Compile Engine ...";
     status = base::Status::OK();
     std::shared_ptr<SqlCompileInfo> info = std::make_shared<SqlCompileInfo>();
-    auto& sql_context = std::dynamic_pointer_cast<SqlCompileInfo>(info)->get_sql_context();
+    auto& sql_context = info->get_sql_context();
     sql_context.sql = sql;
     sql_context.db = db;
     sql_context.engine_mode = session.engine_mode();
diff --git a/hybridse/src/vm/generator.cc b/hybridse/src/vm/generator.cc
index 28542a7befb..aaa16ff2783 100644
--- a/hybridse/src/vm/generator.cc
+++ b/hybridse/src/vm/generator.cc
@@ -16,6 +16,7 @@
 
 #include "vm/generator.h"
 
+#include "vm/catalog_wrapper.h"
 #include "vm/runner.h"
 
 namespace hybridse {
diff --git a/hybridse/src/vm/generator.h b/hybridse/src/vm/generator.h
index 4dded0d6ebf..7bb49337794 100644
--- a/hybridse/src/vm/generator.h
+++ b/hybridse/src/vm/generator.h
@@ -79,11 +79,17 @@ class ConstProjectGenerator : public FnGenerator {
     const Row Gen(const Row& parameter);
     RowProjectFun fun_;
 };
-class AggGenerator : public FnGenerator {
+class AggGenerator : public FnGenerator, public std::enable_shared_from_this<AggGenerator> {
  public:
-    explicit AggGenerator(const FnInfo& info) : FnGenerator(info) {}
+    [[nodiscard]] static std::shared_ptr<AggGenerator> Create(const FnInfo& info) {
+        return std::shared_ptr<AggGenerator>(new AggGenerator(info));
+    }
+
     virtual ~AggGenerator() {}
     const Row Gen(const codec::Row& parameter_row, std::shared_ptr<TableHandler> table);
+
+ private:
+    explicit AggGenerator(const FnInfo& info) : FnGenerator(info) {}
 };
 class WindowProjectGenerator : public FnGenerator {
  public:
@@ -112,8 +118,18 @@ class ConditionGenerator : public FnGenerator {
     const bool Gen(const Row& row, const Row& parameter) const;
     const bool Gen(std::shared_ptr<TableHandler> table, const codec::Row& parameter_row);
 };
-class RangeGenerator {
+class RangeGenerator : public std::enable_shared_from_this<RangeGenerator> {
  public:
+    [[nodiscard]] static std::shared_ptr<RangeGenerator> Create(const Range& range) {
+        return std::shared_ptr<RangeGenerator>(new RangeGenerator(range));
+    }
+    virtual ~RangeGenerator() {}
+
+    const bool Valid() const { return ts_gen_.Valid(); }
+    OrderGenerator ts_gen_;
+    WindowRange window_range_;
+
+ private:
     explicit RangeGenerator(const Range& range) : ts_gen_(range.fn_info()), window_range_() {
         if (range.frame_ != nullptr) {
             switch (range.frame()->frame_type()) {
@@ -142,11 +158,8 @@ class RangeGenerator {
             }
         }
     }
-    virtual ~RangeGenerator() {}
-    const bool Valid() const { return ts_gen_.Valid(); }
-    OrderGenerator ts_gen_;
-    WindowRange window_range_;
 };
+
 class FilterKeyGenerator {
  public:
     explicit FilterKeyGenerator(const Key& filter_key) : filter_key_(filter_key.fn_info()) {}
@@ -253,13 +266,15 @@ class FilterGenerator : public PredicateFun {
 class WindowGenerator {
  public:
     explicit WindowGenerator(const WindowOp& window)
-        : window_op_(window), partition_gen_(window.partition_), sort_gen_(window.sort_), range_gen_(window.range_) {}
+        : window_op_(window), partition_gen_(window.partition_), sort_gen_(window.sort_) {
+        range_gen_ = RangeGenerator::Create(window.range_);
+    }
     virtual ~WindowGenerator() {}
-    const int64_t OrderKey(const Row& row) { return range_gen_.ts_gen_.Gen(row); }
+    const int64_t OrderKey(const Row& row) { return range_gen_->ts_gen_.Gen(row); }
     const WindowOp window_op_;
     PartitionGenerator partition_gen_;
     SortGenerator sort_gen_;
-    RangeGenerator range_gen_;
+    std::shared_ptr<RangeGenerator> range_gen_;
 };
 
 class RequestWindowGenertor {
diff --git a/hybridse/src/vm/internal/node_helper.cc b/hybridse/src/vm/internal/node_helper.cc
index 9d97c14374a..46b3e0dfa8f 100644
--- a/hybridse/src/vm/internal/node_helper.cc
+++ b/hybridse/src/vm/internal/node_helper.cc
@@ -36,7 +36,69 @@ Status GetDependentTables(const PhysicalOpNode* root, std::set<std::pair<std::st
         [](const PhysicalOpNode* node) { return node->GetDependents(); });
     return Status::OK();
 }
+absl::StatusOr<PhysicalOpNode*> ExtractRequestNode(PhysicalOpNode* in) {
+    if (in == nullptr) {
+        return absl::InvalidArgumentError("null input node");
+    }
 
+    switch (in->GetOpType()) {
+        case vm::kPhysicalOpDataProvider: {
+            auto tp = dynamic_cast<PhysicalDataProviderNode*>(in)->provider_type_;
+            if (tp == kProviderTypeRequest) {
+                return in;
+            }
+
+            // else data provider is fine inside node tree,
+            // generally it is of type Partition, but can be Table as well e.g window (t1 instance_not_in_window)
+            return nullptr;
+        }
+        case vm::kPhysicalOpJoin:
+        case vm::kPhysicalOpUnion:
+        case vm::kPhysicalOpPostRequestUnion:
+        case vm::kPhysicalOpRequestUnion:
+        case vm::kPhysicalOpRequestAggUnion:
+        case vm::kPhysicalOpRequestJoin: {
+            // Binary Node
+            // - left or right status not ok -> error
+            // - left and right both has non-null value
+            //   - the two not equals -> error
+            // - otherwise -> left as request node
+            auto left = ExtractRequestNode(in->GetProducer(0));
+            if (!left.ok()) {
+                return left;
+            }
+            auto right = ExtractRequestNode(in->GetProducer(1));
+            if (!right.ok()) {
+                return right;
+            }
+
+            if (left.value() != nullptr && right.value() != nullptr) {
+                if (!left.value()->Equals(right.value())) {
+                    return absl::NotFoundError(
+                        absl::StrCat("different request table from left and right path:\n", in->GetTreeString()));
+                }
+            }
+
+            return left.value();
+        }
+        default: {
+            break;
+        }
+    }
+
+    if (in->GetProducerCnt() == 0) {
+        // leaf node excepting DataProdiverNode
+        // consider ok as right source from one of the supported binary op
+        return nullptr;
+    }
+
+    if (in->GetProducerCnt() > 1) {
+        return absl::UnimplementedError(
+            absl::StrCat("Non-support op with more than one producer:\n", in->GetTreeString()));
+    }
+
+    return ExtractRequestNode(in->GetProducer(0));
+}
 }  // namespace internal
 }  // namespace vm
 }  // namespace hybridse
diff --git a/hybridse/src/vm/internal/node_helper.h b/hybridse/src/vm/internal/node_helper.h
index 7b9d5044748..15514dda764 100644
--- a/hybridse/src/vm/internal/node_helper.h
+++ b/hybridse/src/vm/internal/node_helper.h
@@ -26,6 +26,7 @@
 #include "vm/physical_op.h"
 #include "vm/physical_plan_context.h"
 
+/// PhysicalOpNode related utility functions
 namespace hybridse {
 namespace vm {
 namespace internal {
@@ -68,6 +69,12 @@ State ReduceNode(const PhysicalOpNode* root, State state, BinOp&& op, GetKids&&
 // Get all dependent (db, table) info from physical plan
 Status GetDependentTables(const PhysicalOpNode*, std::set<std::pair<std::string, std::string>>*);
 
+// Extract request node of the node tree.
+// Returns
+// - Request node on success
+// - NULL if tree do not has request table but sufficient as as input tree of the big one
+// - Error status otherwise
+absl::StatusOr<PhysicalOpNode*> ExtractRequestNode(PhysicalOpNode* in);
 }  // namespace internal
 }  // namespace vm
 }  // namespace hybridse
diff --git a/hybridse/src/vm/mem_catalog.cc b/hybridse/src/vm/mem_catalog.cc
index dca41c9355b..29a2e2791e4 100644
--- a/hybridse/src/vm/mem_catalog.cc
+++ b/hybridse/src/vm/mem_catalog.cc
@@ -18,8 +18,6 @@
 
 #include <algorithm>
 
-#include "absl/strings/substitute.h"
-
 namespace hybridse {
 namespace vm {
 MemTimeTableIterator::MemTimeTableIterator(const MemTimeTable* table,
diff --git a/hybridse/src/vm/runner.cc b/hybridse/src/vm/runner.cc
index 586f75c6187..7d26cdf899d 100644
--- a/hybridse/src/vm/runner.cc
+++ b/hybridse/src/vm/runner.cc
@@ -25,6 +25,7 @@
 #include "absl/strings/str_cat.h"
 #include "absl/strings/substitute.h"
 #include "base/texttable.h"
+#include "vm/catalog.h"
 #include "vm/catalog_wrapper.h"
 #include "vm/core_api.h"
 #include "vm/internal/eval.h"
@@ -52,6 +53,15 @@ static bool IsPartitionProvider(vm::PhysicalOpNode* n) {
     }
 }
 
+static vm::PhysicalDataProviderNode* request_node(vm::PhysicalOpNode* n) {
+    switch (n->GetOpType()) {
+        case kPhysicalOpDataProvider:
+            return dynamic_cast<vm::PhysicalDataProviderNode*>(n);
+        default:
+            return request_node(n->GetProducer(0));
+    }
+}
+
 // Build Runner for each physical node
 // return cluster task of given runner
 //
@@ -328,6 +338,16 @@ ClusterTask RunnerBuilder::Build(PhysicalOpNode* node, Status& status) {
                     }
                 }
             }
+            if (support_cluster_optimized_) {
+                if (IsPartitionProvider(node->GetProducer(0))) {
+                    // route by index of the left source, and it should uncompleted
+                    auto& route_info = left_task.GetRouteInfo();
+                    runner->AddProducer(left_task.GetRoot());
+                    runner->AddProducer(right_task.GetRoot());
+                    return RegisterTask(node,
+                                        UnCompletedClusterTask(runner, route_info.table_handler_, route_info.index_));
+                }
+            }
             return RegisterTask(
                 node, BinaryInherit(left_task, right_task, runner, index_key,
                                     kRightBias));
@@ -372,6 +392,7 @@ ClusterTask RunnerBuilder::Build(PhysicalOpNode* node, Status& status) {
 
                         if (right_task.IsCompletedClusterTask() && right_task.GetRouteInfo().lazy_route_ &&
                             !op->join_.index_key_.ValidKey()) {
+                            // join (.., filter<optimized>)
                             auto& route_info = right_task.GetRouteInfo();
                             runner->AddProducer(left_task.GetRoot());
                             runner->AddProducer(right_task.GetRoot());
@@ -387,10 +408,20 @@ ClusterTask RunnerBuilder::Build(PhysicalOpNode* node, Status& status) {
                     if (support_cluster_optimized_) {
                         if (right_task.IsCompletedClusterTask() && right_task.GetRouteInfo().lazy_route_ &&
                             !op->join_.index_key_.ValidKey()) {
+                            // concat join (.., filter<optimized>)
                             runner->AddProducer(left_task.GetRoot());
                             runner->AddProducer(right_task.GetRoot());
                             return RegisterTask(node, ClusterTask(runner, {}, RouteInfo{}));
                         }
+
+                        // concat join (any(tx), any(tx)), tx is not request table
+                        auto left = request_node(node->GetProducer(0));
+                        // auto right = request_node(node->GetProducer(1));
+                        if (left->provider_type_ == kProviderTypePartition) {
+                            runner->AddProducer(left_task.GetRoot());
+                            runner->AddProducer(right_task.GetRoot());
+                            return RegisterTask(node, ClusterTask(runner, {}, left_task.GetRouteInfo()));
+                        }
                     }
                     return RegisterTask(node, BinaryInherit(left_task, right_task, runner, Key(), kNoBias));
                 }
@@ -1526,7 +1557,7 @@ void WindowAggRunner::RunWindowAggOnKey(
 
     int32_t min_union_pos = IteratorStatus::FindLastIteratorWithMininumKey(union_segment_status);
     int32_t cnt = output_table->GetCount();
-    HistoryWindow window(instance_window_gen_.range_gen_.window_range_);
+    HistoryWindow window(instance_window_gen_.range_gen_->window_range_);
     window.set_instance_not_in_window(instance_not_in_window_);
     window.set_exclude_current_time(exclude_current_time_);
 
@@ -1602,6 +1633,8 @@ std::shared_ptr<DataHandler> RequestLastJoinRunner::Run(
         return join_gen_->LazyLastJoin(left_part, std::dynamic_pointer_cast<PartitionHandler>(right),
                                        ctx.GetParameterRow());
     }
+
+    LOG(WARNING) << "skip due to performance: left source of request join is table handler (unoptimized)";
     return std::shared_ptr<DataHandler>();
 }
 
@@ -2101,20 +2134,23 @@ std::shared_ptr<DataHandler> ConcatRunner::Run(
     auto right = inputs[1];
     auto left = inputs[0];
     size_t left_slices = producers_[0]->output_schemas()->GetSchemaSourceSize();
-    size_t right_slices =
-        producers_[1]->output_schemas()->GetSchemaSourceSize();
+    size_t right_slices = producers_[1]->output_schemas()->GetSchemaSourceSize();
     if (!left) {
         return std::shared_ptr<DataHandler>();
     }
     switch (left->GetHandlerType()) {
         case kRowHandler:
-            return std::shared_ptr<RowHandler>(new RowCombineWrapper(
-                std::dynamic_pointer_cast<RowHandler>(left), left_slices,
-                std::dynamic_pointer_cast<RowHandler>(right), right_slices));
+            return std::shared_ptr<RowHandler>(
+                new RowCombineWrapper(std::dynamic_pointer_cast<RowHandler>(left), left_slices,
+                                      std::dynamic_pointer_cast<RowHandler>(right), right_slices));
         case kTableHandler:
-            return std::shared_ptr<TableHandler>(new ConcatTableHandler(
-                std::dynamic_pointer_cast<TableHandler>(left), left_slices,
-                std::dynamic_pointer_cast<TableHandler>(right), right_slices));
+            return std::shared_ptr<TableHandler>(
+                new ConcatTableHandler(std::dynamic_pointer_cast<TableHandler>(left), left_slices,
+                                       std::dynamic_pointer_cast<TableHandler>(right), right_slices));
+        case kPartitionHandler:
+            return std::shared_ptr<TableHandler>(
+                new ConcatPartitionHandler(std::dynamic_pointer_cast<PartitionHandler>(left), left_slices,
+                                           std::dynamic_pointer_cast<PartitionHandler>(right), right_slices));
         default: {
             LOG(WARNING)
                 << "fail to run conncat runner: handler type unsupported";
@@ -2149,6 +2185,8 @@ std::shared_ptr<DataHandler> LimitRunner::Run(
             LOG(WARNING) << "fail limit when input type isn't row or table";
             return fail_ptr;
         }
+        default:
+            break;
     }
     return fail_ptr;
 }
@@ -2205,7 +2243,7 @@ std::shared_ptr<DataHandler> GroupAggRunner::Run(
             return std::shared_ptr<DataHandler>();
         }
         if (!having_condition_.Valid() || having_condition_.Gen(table, parameter)) {
-            output_table->AddRow(agg_gen_.Gen(parameter, table));
+            output_table->AddRow(agg_gen_->Gen(parameter, table));
         }
         return output_table;
     } else if (kPartitionHandler == input->GetHandlerType()) {
@@ -2228,7 +2266,7 @@ std::shared_ptr<DataHandler> GroupAggRunner::Run(
                 if (limit_cnt_.has_value() && cnt++ >= limit_cnt_) {
                     break;
                 }
-                output_table->AddRow(agg_gen_.Gen(parameter, segment));
+                output_table->AddRow(agg_gen_->Gen(parameter, segment));
             }
             iter->Next();
         }
@@ -2305,10 +2343,10 @@ std::shared_ptr<DataHandler> RequestAggUnionRunner::Run(
     }
 
     auto request = std::dynamic_pointer_cast<RowHandler>(request_handler)->GetValue();
-    int64_t ts_gen = range_gen_.Valid() ? range_gen_.ts_gen_.Gen(request) : -1;
+    int64_t ts_gen = range_gen_->Valid() ? range_gen_->ts_gen_.Gen(request) : -1;
 
     // Prepare Union Window
-    auto union_inputs = windows_union_gen_.RunInputs(ctx);
+    auto union_inputs = windows_union_gen_->RunInputs(ctx);
     if (ctx.is_debug()) {
         for (size_t i = 0; i < union_inputs.size(); i++) {
             std::ostringstream sss;
@@ -2317,13 +2355,13 @@ std::shared_ptr<DataHandler> RequestAggUnionRunner::Run(
         }
     }
 
-    auto& key_gen = windows_union_gen_.windows_gen_[0].index_seek_gen_.index_key_gen_;
+    auto& key_gen = windows_union_gen_->windows_gen_[0].index_seek_gen_.index_key_gen_;
     std::string key = key_gen.Gen(request, ctx.GetParameterRow());
     // do not use codegen to gen the union outputs for aggr segment
     union_inputs.pop_back();
 
     auto union_segments =
-        windows_union_gen_.GetRequestWindows(request, ctx.GetParameterRow(), union_inputs);
+        windows_union_gen_->GetRequestWindows(request, ctx.GetParameterRow(), union_inputs);
     // code_gen result of agg_segment is not correct. we correct the result here
     auto agg_segment = std::dynamic_pointer_cast<PartitionHandler>(union_inputs[1])->GetSegment(key);
     if (agg_segment) {
@@ -2342,12 +2380,12 @@ std::shared_ptr<DataHandler> RequestAggUnionRunner::Run(
 
     std::shared_ptr<TableHandler> window;
     if (agg_segment) {
-        window = RequestUnionWindow(request, union_segments, ts_gen, range_gen_.window_range_, output_request_row_,
+        window = RequestUnionWindow(request, union_segments, ts_gen, range_gen_->window_range_, output_request_row_,
                                     exclude_current_time_);
     } else {
         LOG(WARNING) << "Aggr segment is empty. Fall back to normal RequestUnionRunner";
-        window = RequestUnionRunner::RequestUnionWindow(request, union_segments, ts_gen, range_gen_.window_range_, true,
-                                                        exclude_current_time_);
+        window = RequestUnionRunner::RequestUnionWindow(request, union_segments, ts_gen, range_gen_->window_range_,
+                                                        true, exclude_current_time_);
     }
 
     return window;
@@ -2766,9 +2804,8 @@ std::shared_ptr<DataHandler> ReduceRunner::Run(
     return row_handler;
 }
 
-std::shared_ptr<DataHandler> RequestUnionRunner::Run(
-    RunnerContext& ctx,
-    const std::vector<std::shared_ptr<DataHandler>>& inputs) {
+std::shared_ptr<DataHandler> RequestUnionRunner::Run(RunnerContext& ctx,
+                                                     const std::vector<std::shared_ptr<DataHandler>>& inputs) {
     auto fail_ptr = std::shared_ptr<DataHandler>();
     if (inputs.size() < 2u) {
         LOG(WARNING) << "inputs size < 2";
@@ -2779,23 +2816,30 @@ std::shared_ptr<DataHandler> RequestUnionRunner::Run(
     if (!left || !right) {
         return std::shared_ptr<DataHandler>();
     }
-    if (kRowHandler != left->GetHandlerType()) {
-        return std::shared_ptr<DataHandler>();
+    if (kRowHandler == left->GetHandlerType()) {
+        auto request = std::dynamic_pointer_cast<RowHandler>(left)->GetValue();
+        return RunOneRequest(&ctx, request);
+    } else if (kPartitionHandler == left->GetHandlerType()) {
+        auto left_part = std::dynamic_pointer_cast<PartitionHandler>(left);
+        auto func = std::bind(&RequestUnionRunner::RunOneRequest, this, &ctx, std::placeholders::_1);
+        return std::shared_ptr<TableHandler>(new LazyRequestUnionPartitionHandler(left_part, func));
     }
 
-    auto request = std::dynamic_pointer_cast<RowHandler>(left)->GetValue();
-
+    LOG(WARNING) << "skip due to performance: left source of request union is table handler(unoptimized)";
+    return std::shared_ptr<DataHandler>();
+}
+std::shared_ptr<TableHandler> RequestUnionRunner::RunOneRequest(RunnerContext* ctx, const Row& request) {
     // ts_gen < 0 if there is no ORDER BY clause for WINDOW
-    int64_t ts_gen = range_gen_.Valid() ? range_gen_.ts_gen_.Gen(request) : -1;
+    int64_t ts_gen = range_gen_->Valid() ? range_gen_->ts_gen_.Gen(request) : -1;
 
     // Prepare Union Window
-    auto union_inputs = windows_union_gen_.RunInputs(ctx);
-    auto union_segments =
-        windows_union_gen_.GetRequestWindows(request, ctx.GetParameterRow(), union_inputs);
+    auto union_inputs = windows_union_gen_->RunInputs(*ctx);
+    auto union_segments = windows_union_gen_->GetRequestWindows(request, ctx->GetParameterRow(), union_inputs);
     // build window with start and end offset
-    return RequestUnionWindow(request, union_segments, ts_gen, range_gen_.window_range_, output_request_row_,
+    return RequestUnionWindow(request, union_segments, ts_gen, range_gen_->window_range_, output_request_row_,
                               exclude_current_time_);
 }
+
 std::shared_ptr<TableHandler> RequestUnionRunner::RequestUnionWindow(
     const Row& request, std::vector<std::shared_ptr<TableHandler>> union_segments, int64_t ts_gen,
     const WindowRange& window_range, bool output_request_row, bool exclude_current_time) {
@@ -2862,9 +2906,9 @@ std::shared_ptr<TableHandler> RequestUnionRunner::RequestUnionWindow(
         request_key < range_start);
     if (output_request_row) {
         window_table->AddRow(request_key, request);
-    }
-    if (WindowRange::kInWindow == range_status) {
-        cnt++;
+        if (WindowRange::kInWindow == range_status) {
+            cnt++;
+        }
     }
 
     while (-1 != max_union_pos) {
@@ -2941,16 +2985,26 @@ std::shared_ptr<DataHandler> AggRunner::Run(
         LOG(WARNING) << "input is empty";
         return std::shared_ptr<DataHandler>();
     }
-    if (kTableHandler != input->GetHandlerType()) {
-        return std::shared_ptr<DataHandler>();
-    }
-    auto table = std::dynamic_pointer_cast<TableHandler>(input);
-    auto parameter = ctx.GetParameterRow();
-    if (having_condition_.Valid() && !having_condition_.Gen(table, parameter)) {
-        return std::shared_ptr<DataHandler>();
+
+    if (kTableHandler == input->GetHandlerType()) {
+        auto table = std::dynamic_pointer_cast<TableHandler>(input);
+        auto parameter = ctx.GetParameterRow();
+        if (having_condition_.Valid() && !having_condition_.Gen(table, parameter)) {
+            return std::shared_ptr<DataHandler>();
+        }
+        auto row_handler = std::shared_ptr<RowHandler>(new MemRowHandler(agg_gen_->Gen(parameter, table)));
+        return row_handler;
+    } else if (kPartitionHandler == input->GetHandlerType()) {
+        // lazify
+        auto data_set = std::dynamic_pointer_cast<LazyRequestUnionPartitionHandler>(input);
+        if (data_set == nullptr) {
+            return std::shared_ptr<DataHandler>();
+        }
+
+        return std::shared_ptr<DataHandler>(new LazyAggPartitionHandler(data_set, agg_gen_, ctx.GetParameterRow()));
     }
-    auto row_handler = std::shared_ptr<RowHandler>(new MemRowHandler(agg_gen_.Gen(parameter, table)));
-    return row_handler;
+
+    return std::shared_ptr<DataHandler>();
 }
 std::shared_ptr<DataHandlerList> ProxyRequestRunner::BatchRequestRun(
     RunnerContext& ctx) {
diff --git a/hybridse/src/vm/runner.h b/hybridse/src/vm/runner.h
index 64e712bbde7..a9d135b5e33 100644
--- a/hybridse/src/vm/runner.h
+++ b/hybridse/src/vm/runner.h
@@ -32,7 +32,6 @@
 #include "node/node_manager.h"
 #include "vm/aggregator.h"
 #include "vm/catalog.h"
-#include "vm/catalog_wrapper.h"
 #include "vm/core_api.h"
 #include "vm/generator.h"
 #include "vm/mem_catalog.h"
@@ -354,13 +353,16 @@ class WindowUnionGenerator : public InputsGenerator {
     std::vector<WindowGenerator> windows_gen_;
 };
 
-class RequestWindowUnionGenerator : public InputsGenerator {
+class RequestWindowUnionGenerator : public InputsGenerator,
+                                    public std::enable_shared_from_this<RequestWindowUnionGenerator> {
  public:
-    RequestWindowUnionGenerator() : InputsGenerator() {}
+    [[nodiscard]] static std::shared_ptr<RequestWindowUnionGenerator> Create() {
+        return std::shared_ptr<RequestWindowUnionGenerator>(new RequestWindowUnionGenerator());
+    }
     virtual ~RequestWindowUnionGenerator() {}
 
     void AddWindowUnion(const RequestWindowOp& window_op, Runner* runner) {
-        windows_gen_.push_back(RequestWindowGenertor(window_op));
+        windows_gen_.emplace_back(window_op);
         AddInput(runner);
     }
 
@@ -373,6 +375,9 @@ class RequestWindowUnionGenerator : public InputsGenerator {
         return union_segments;
     }
     std::vector<RequestWindowGenertor> windows_gen_;
+
+ private:
+    RequestWindowUnionGenerator() : InputsGenerator() {}
 };
 
 class WindowJoinGenerator : public InputsGenerator {
@@ -549,7 +554,7 @@ class GroupAggRunner : public Runner {
         : Runner(id, kRunnerGroupAgg, schema, limit_cnt),
           group_(group.fn_info()),
           having_condition_(having_condition.fn_info()),
-          agg_gen_(project) {}
+          agg_gen_(AggGenerator::Create(project)) {}
     ~GroupAggRunner() {}
     std::shared_ptr<DataHandler> Run(
         RunnerContext& ctx,  // NOLINT
@@ -557,24 +562,22 @@ class GroupAggRunner : public Runner {
         override;  // NOLINT
     KeyGenerator group_;
     ConditionGenerator having_condition_;
-    AggGenerator agg_gen_;
+    std::shared_ptr<AggGenerator> agg_gen_;
 };
 class AggRunner : public Runner {
  public:
-    AggRunner(const int32_t id, const SchemasContext* schema,
-              const std::optional<int32_t> limit_cnt,
-              const ConditionFilter& having_condition,
-              const FnInfo& fn_info)
+    AggRunner(const int32_t id, const SchemasContext* schema, const std::optional<int32_t> limit_cnt,
+              const ConditionFilter& having_condition, const FnInfo& fn_info)
         : Runner(id, kRunnerAgg, schema, limit_cnt),
           having_condition_(having_condition.fn_info()),
-          agg_gen_(fn_info) {}
+          agg_gen_(AggGenerator::Create(fn_info)) {}
     ~AggRunner() {}
     std::shared_ptr<DataHandler> Run(
         RunnerContext& ctx,  // NOLINT
         const std::vector<std::shared_ptr<DataHandler>>& inputs)
         override;  // NOLINT
     ConditionGenerator having_condition_;
-    AggGenerator agg_gen_;
+    std::shared_ptr<AggGenerator> agg_gen_;
 };
 
 class ReduceRunner : public Runner {
@@ -583,12 +586,12 @@ class ReduceRunner : public Runner {
                  const ConditionFilter& having_condition, const FnInfo& fn_info)
         : Runner(id, kRunnerReduce, schema, limit_cnt),
           having_condition_(having_condition.fn_info()),
-          agg_gen_(fn_info) {}
+          agg_gen_(AggGenerator::Create(fn_info)) {}
     ~ReduceRunner() {}
     std::shared_ptr<DataHandler> Run(RunnerContext& ctx,
                                      const std::vector<std::shared_ptr<DataHandler>>& inputs) override;
     ConditionGenerator having_condition_;
-    AggGenerator agg_gen_;
+    std::shared_ptr<AggGenerator> agg_gen_;
 };
 
 class WindowAggRunner : public Runner {
@@ -638,37 +641,39 @@ class WindowAggRunner : public Runner {
 
 class RequestUnionRunner : public Runner {
  public:
-    RequestUnionRunner(const int32_t id, const SchemasContext* schema,
-                       const std::optional<int32_t> limit_cnt, const Range& range,
-                       bool exclude_current_time, bool output_request_row)
+    RequestUnionRunner(const int32_t id, const SchemasContext* schema, const std::optional<int32_t> limit_cnt,
+                       const Range& range, bool exclude_current_time, bool output_request_row)
         : Runner(id, kRunnerRequestUnion, schema, limit_cnt),
-          range_gen_(range),
+          range_gen_(RangeGenerator::Create(range)),
           exclude_current_time_(exclude_current_time),
-          output_request_row_(output_request_row) {}
+          output_request_row_(output_request_row) {
+        windows_union_gen_ = RequestWindowUnionGenerator::Create();
+    }
+
+    std::shared_ptr<DataHandler> Run(RunnerContext& ctx,  // NOLINT
+                                     const std::vector<std::shared_ptr<DataHandler>>& inputs) override;
+
+    std::shared_ptr<TableHandler> RunOneRequest(RunnerContext* ctx, const Row& request);
 
-    std::shared_ptr<DataHandler> Run(
-        RunnerContext& ctx,  // NOLINT
-        const std::vector<std::shared_ptr<DataHandler>>& inputs)
-        override;  // NOLINT
     static std::shared_ptr<TableHandler> RequestUnionWindow(const Row& request,
                                                             std::vector<std::shared_ptr<TableHandler>> union_segments,
                                                             int64_t request_ts, const WindowRange& window_range,
                                                             bool output_request_row, bool exclude_current_time);
     void AddWindowUnion(const RequestWindowOp& window, Runner* runner) {
-        windows_union_gen_.AddWindowUnion(window, runner);
+        windows_union_gen_->AddWindowUnion(window, runner);
     }
 
     void Print(std::ostream& output, const std::string& tab,
                        std::set<int32_t>* visited_ids) const override {
         Runner::Print(output, tab, visited_ids);
         output << "\n" << tab << "window unions:\n";
-        for (auto& r : windows_union_gen_.input_runners_) {
+        for (auto& r : windows_union_gen_->input_runners_) {
             r->Print(output, tab + "  ", visited_ids);
         }
     }
 
-    RequestWindowUnionGenerator windows_union_gen_;
-    RangeGenerator range_gen_;
+    std::shared_ptr<RequestWindowUnionGenerator> windows_union_gen_;
+    std::shared_ptr<RangeGenerator> range_gen_;
     bool exclude_current_time_;
     bool output_request_row_;
 };
@@ -679,11 +684,12 @@ class RequestAggUnionRunner : public Runner {
                           const Range& range, bool exclude_current_time, bool output_request_row,
                           const node::CallExprNode* project)
         : Runner(id, kRunnerRequestAggUnion, schema, limit_cnt),
-          range_gen_(range),
+          range_gen_(RangeGenerator::Create(range)),
           exclude_current_time_(exclude_current_time),
           output_request_row_(output_request_row),
           func_(project->GetFnDef()),
           agg_col_(project->GetChild(0)) {
+        windows_union_gen_ = RequestWindowUnionGenerator::Create();
         if (agg_col_->GetExprType() == node::kExprColumnRef) {
             agg_col_name_ = dynamic_cast<const node::ColumnRefNode*>(agg_col_)->GetColumnName();
         } /* for kAllExpr like count(*), agg_col_name_ is empty */
@@ -704,7 +710,7 @@ class RequestAggUnionRunner : public Runner {
                                                      const bool output_request_row,
                                                      const bool exclude_current_time) const;
     void AddWindowUnion(const RequestWindowOp& window, Runner* runner) {
-        windows_union_gen_.AddWindowUnion(window, runner);
+        windows_union_gen_->AddWindowUnion(window, runner);
     }
 
     static std::string PrintEvalValue(const absl::StatusOr<std::optional<bool>>& val);
@@ -723,8 +729,8 @@ class RequestAggUnionRunner : public Runner {
         kMaxWhere,
     };
 
-    RequestWindowUnionGenerator windows_union_gen_;
-    RangeGenerator range_gen_;
+    std::shared_ptr<RequestWindowUnionGenerator> windows_union_gen_;
+    std::shared_ptr<RangeGenerator> range_gen_;
     bool exclude_current_time_;
 
     // include request row from union.
diff --git a/hybridse/src/vm/transform.cc b/hybridse/src/vm/transform.cc
index d52667dbc6f..a0340d41fbe 100644
--- a/hybridse/src/vm/transform.cc
+++ b/hybridse/src/vm/transform.cc
@@ -639,16 +639,13 @@ Status RequestModeTransformer::TransformWindowOp(PhysicalOpNode* depend,
         }
         case kPhysicalOpDataProvider: {
             auto data_op = dynamic_cast<PhysicalDataProviderNode*>(depend);
-            CHECK_TRUE(data_op->provider_type_ == kProviderTypeRequest,
-                       kPlanError,
-                       "Do not support window on non-request input");
+            CHECK_TRUE(data_op->provider_type_ != kProviderTypePartition, kPlanError, "data node already a partition");
 
             auto name = data_op->table_handler_->GetName();
             auto db_name = data_op->table_handler_->GetDatabase();
             auto table = catalog_->GetTable(db_name, name);
-            CHECK_TRUE(table != nullptr, kPlanError,
-                       "Fail to transform data provider op: table " + name +
-                           "not exists");
+            CHECK_TRUE(table != nullptr, kPlanError, "Fail to transform data provider op: table ", name, "not exists");
+
             PhysicalTableProviderNode* right = nullptr;
             CHECK_STATUS(CreateOp<PhysicalTableProviderNode>(&right, table));
 
@@ -657,6 +654,12 @@ Status RequestModeTransformer::TransformWindowOp(PhysicalOpNode* depend,
                 data_op, right, table->GetDatabase(), table->GetName(), table->GetSchema(), nullptr,
                 w_ptr, &request_union_op));
 
+            if (data_op->provider_type_ == kProviderTypeTable && !request_union_op->instance_not_in_window()) {
+                // REQUEST_UNION(t1, t1) do not has request table, dont output reqeust row,
+                // but should output if REQUEST_UNION(t1, t1, unions=xxx, instance_not_in_window)
+                request_union_op->set_output_request_row(false);
+            }
+
             if (!w_ptr->union_tables().empty()) {
                 for (auto iter = w_ptr->union_tables().cbegin();
                      iter != w_ptr->union_tables().cend(); iter++) {
@@ -1403,19 +1406,24 @@ Status BatchModeTransformer::CreatePhysicalProjectNode(
         }
         case kAggregation: {
             PhysicalAggregationNode* agg_op = nullptr;
-            CHECK_STATUS(CreateOp<PhysicalAggregationNode>(&agg_op, depend,
-                                                           column_projects, having_condition));
+            CHECK_STATUS(CreateOp<PhysicalAggregationNode>(&agg_op, depend, column_projects, having_condition));
             *output = agg_op;
             break;
         }
         case kGroupAggregation: {
-            CHECK_TRUE(!node::ExprListNullOrEmpty(group_keys), kPlanError,
-                       "Can not create group agg with non group keys");
+            if (node::ExprListNullOrEmpty(group_keys)) {
+                PhysicalAggregationNode* agg_op = nullptr;
+                CHECK_STATUS(CreateOp<PhysicalAggregationNode>(&agg_op, depend, column_projects, having_condition));
+                *output = agg_op;
+            } else {
+                // CHECK_TRUE(!node::ExprListNullOrEmpty(group_keys), kPlanError,
+                //            "Can not create group agg with non group keys");
 
-            PhysicalGroupAggrerationNode* agg_op = nullptr;
-            CHECK_STATUS(CreateOp<PhysicalGroupAggrerationNode>(
-                &agg_op, depend, column_projects, having_condition, group_keys));
-            *output = agg_op;
+                PhysicalGroupAggrerationNode* agg_op = nullptr;
+                CHECK_STATUS(CreateOp<PhysicalGroupAggrerationNode>(&agg_op, depend, column_projects, having_condition,
+                                                                    group_keys));
+                *output = agg_op;
+            }
             break;
         }
         case kWindowAggregation: {
@@ -1455,6 +1463,10 @@ base::Status BatchModeTransformer::ExtractGroupKeys(vm::PhysicalOpNode* depend,
         CHECK_STATUS(ExtractGroupKeys(depend->GetProducer(0), keys))
         return base::Status::OK();
     }
+
+    if (depend->GetOpType() == kPhysicalOpRequestUnion) {
+        return base::Status::OK();
+    }
     CHECK_TRUE(depend->GetOpType() == kPhysicalOpGroupBy, kPlanError, "Fail to extract group keys from op ",
                vm::PhysicalOpTypeName(depend->GetOpType()))
     *keys = dynamic_cast<PhysicalGroupNode*>(depend)->group().keys_;
@@ -1637,12 +1649,26 @@ Status BatchModeTransformer::ValidatePartitionDataProvider(PhysicalOpNode* in) {
     if (kPhysicalOpSimpleProject == in->GetOpType() ||
         kPhysicalOpRename == in->GetOpType() || kPhysicalOpFilter == in->GetOpType()) {
         CHECK_STATUS(ValidatePartitionDataProvider(in->GetProducer(0)))
+    } else if (kPhysicalOpProject == in->GetOpType()) {
+        auto* prj = dynamic_cast<vm::PhysicalProjectNode*>(in);
+        CHECK_TRUE(prj->project_type_ == kAggregation, kPlanError,
+                   "can't optimize project node: ", in->GetTreeString());
+        CHECK_STATUS(ValidatePartitionDataProvider(in->GetProducer(0)));
     } else if (kPhysicalOpRequestJoin == in->GetOpType()) {
         CHECK_STATUS(ValidatePartitionDataProvider(in->GetProducer(0)));
         CHECK_STATUS(ValidatePartitionDataProvider(in->GetProducer(1)));
+    } else if (kPhysicalOpRequestUnion == in->GetOpType()) {
+        CHECK_STATUS(ValidatePartitionDataProvider(in->GetProducer(0)));
+        auto n = dynamic_cast<PhysicalRequestUnionNode*>(in);
+        if (!n->instance_not_in_window()) {
+            CHECK_STATUS(ValidatePartitionDataProvider(in->GetProducer(1)));
+        }
+        for (auto& window_union : n->window_unions().window_unions_) {
+            CHECK_STATUS(ValidateWindowIndexOptimization(window_union.second, window_union.first));
+        }
     } else {
         CHECK_TRUE(kPhysicalOpDataProvider == in->GetOpType() &&
-                       kProviderTypePartition == dynamic_cast<PhysicalDataProviderNode*>(in)->provider_type_,
+                       kProviderTypeTable != dynamic_cast<PhysicalDataProviderNode*>(in)->provider_type_,
                    kPlanError, "Isn't partition provider:", in->GetTreeString());
     }
     return Status::OK();
@@ -1667,7 +1693,7 @@ Status BatchModeTransformer::ValidateJoinIndexOptimization(
         return Status::OK();
     } else {
         CHECK_STATUS(ValidatePartitionDataProvider(right),
-                     "Join node hasn't been optimized");
+                     "Join node hasn't been optimized: right=", right->GetTreeString());
     }
     return Status::OK();
 }
@@ -2423,7 +2449,7 @@ Status RequestModeTransformer::TransformScanOp(const node::TablePlanNode* node,
     }
 }
 Status RequestModeTransformer::ValidateRequestTable(PhysicalOpNode* in) {
-    auto req = ExtractRequestNode(in);
+    auto req = internal::ExtractRequestNode(in);
     CHECK_TRUE(req.ok(), kPlanError, req.status());
 
     std::set<std::pair<std::string, std::string>> db_tables;
@@ -2433,69 +2459,6 @@ Status RequestModeTransformer::ValidateRequestTable(PhysicalOpNode* in) {
     return Status::OK();
 }
 
-absl::StatusOr<PhysicalOpNode*> RequestModeTransformer::ExtractRequestNode(PhysicalOpNode* in) {
-    if (in == nullptr) {
-        return absl::InvalidArgumentError("null input node");
-    }
-
-    switch (in->GetOpType()) {
-        case vm::kPhysicalOpDataProvider: {
-            auto tp = dynamic_cast<PhysicalDataProviderNode*>(in)->provider_type_;
-            if (tp == kProviderTypeRequest) {
-                return in;
-            }
-
-            // else data provider is fine inside node tree,
-            // generally it is of type Partition, but can be Table as well e.g window (t1 instance_not_in_window)
-            return nullptr;
-        }
-        case vm::kPhysicalOpJoin:
-        case vm::kPhysicalOpUnion:
-        case vm::kPhysicalOpPostRequestUnion:
-        case vm::kPhysicalOpRequestUnion:
-        case vm::kPhysicalOpRequestAggUnion:
-        case vm::kPhysicalOpRequestJoin: {
-            // Binary Node
-            // - left or right status not ok -> error
-            // - left and right both has non-null value
-            //   - the two not equals -> error
-            // - otherwise -> left as request node
-            auto left = ExtractRequestNode(in->GetProducer(0));
-            if (!left.ok()) {
-                return left;
-            }
-            auto right = ExtractRequestNode(in->GetProducer(1));
-            if (!right.ok()) {
-                return right;
-            }
-
-            if (left.value() != nullptr && right.value() != nullptr) {
-                if (!left.value()->Equals(right.value())) {
-                    return absl::NotFoundError(
-                        absl::StrCat("different request table from left and right path:\n", in->GetTreeString()));
-                }
-            }
-
-            return left.value();
-        }
-        default: {
-            break;
-        }
-    }
-
-    if (in->GetProducerCnt() == 0) {
-        // leaf node excepting DataProdiverNode
-        // consider ok as right source from one of the supported binary op
-        return nullptr;
-    }
-
-    if (in->GetProducerCnt() > 1) {
-        return absl::UnimplementedError(
-            absl::StrCat("Non-support op with more than one producer:\n", in->GetTreeString()));
-    }
-
-    return ExtractRequestNode(in->GetProducer(0));
-}
 
 // transform a single `ProjectListNode` of `ProjectPlanNode`
 Status RequestModeTransformer::TransformProjectOp(
diff --git a/hybridse/src/vm/transform.h b/hybridse/src/vm/transform.h
index caaf63b655d..45c4d9660e7 100644
--- a/hybridse/src/vm/transform.h
+++ b/hybridse/src/vm/transform.h
@@ -21,7 +21,6 @@
 #include <set>
 #include <string>
 #include <unordered_map>
-#include <utility>
 #include <vector>
 
 #include "absl/base/attributes.h"
@@ -29,7 +28,6 @@
 #include "base/fe_status.h"
 #include "base/graph.h"
 #include "llvm/Bitcode/BitcodeWriter.h"
-#include "llvm/Support/raw_ostream.h"
 #include "node/node_manager.h"
 #include "node/plan_node.h"
 #include "node/sql_node.h"
@@ -323,13 +321,6 @@ class RequestModeTransformer : public BatchModeTransformer {
     // - do not has any physical table refered
     Status ValidateRequestTable(PhysicalOpNode* in);
 
-    // Extract request node of the node tree
-    // returns
-    // - Request node on success
-    // - NULL if tree do not has request table but sufficient as as input tree of the big one
-    // - Error status otherwise
-    static absl::StatusOr<PhysicalOpNode*> ExtractRequestNode(PhysicalOpNode* in);
-
  private:
     // Optimize simple project node which is the producer of window project
     Status OptimizeSimpleProjectAsWindowProducer(PhysicalSimpleProjectNode* depend,
diff --git a/src/sdk/sql_sdk_test.h b/src/sdk/sql_sdk_test.h
index 58d72cf458a..5eaadde6623 100644
--- a/src/sdk/sql_sdk_test.h
+++ b/src/sdk/sql_sdk_test.h
@@ -50,6 +50,8 @@ INSTANTIATE_TEST_SUITE_P(SQLSDKLastJoinQuery, SQLSDKQueryTest,
                          testing::ValuesIn(SQLSDKQueryTest::InitCases("cases/query/last_join_query.yaml")));
 INSTANTIATE_TEST_SUITE_P(SQLSDKLastJoinWindowQuery, SQLSDKQueryTest,
                          testing::ValuesIn(SQLSDKQueryTest::InitCases("cases/query/last_join_window_query.yaml")));
+INSTANTIATE_TEST_SUITE_P(SQLSDKLastJoinSubqueryWindow, SQLSDKQueryTest,
+                         testing::ValuesIn(SQLSDKQueryTest::InitCases("cases/query/last_join_subquery_window.yml")));
 INSTANTIATE_TEST_SUITE_P(SQLSDKLastJoinWhere, SQLSDKQueryTest,
                          testing::ValuesIn(SQLSDKQueryTest::InitCases("cases/query/last_join_where.yaml")));
 INSTANTIATE_TEST_SUITE_P(SQLSDKParameterizedQuery, SQLSDKQueryTest,

From 71754ff2165a74080c148368981789cb0d65978d Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Wed, 15 Nov 2023 10:17:17 +0800
Subject: [PATCH 24/27] feat: support compress (#3572)

---
 cases/plan/create.yaml                        |  37 ++++
 .../sql/ddl/CREATE_TABLE_STATEMENT.md         |  16 +-
 docs/en/reference/sql/ddl/DESC_STATEMENT.md   |  10 +-
 .../sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md    |   2 +-
 .../ddl/CREATE_TABLE_STATEMENT.md             |  16 +-
 docs/zh/openmldb_sql/ddl/DESC_STATEMENT.md    |  10 +-
 .../ddl/SHOW_CREATE_TABLE_STATEMENT.md        |   2 +-
 hybridse/include/node/node_enum.h             |   6 +
 hybridse/include/node/node_manager.h          |   2 -
 hybridse/include/node/sql_node.h              |  33 +++-
 hybridse/src/node/node_manager.cc             |   5 -
 hybridse/src/node/plan_node_test.cc           |   3 +-
 hybridse/src/node/sql_node.cc                 |  12 ++
 hybridse/src/node/sql_node_test.cc            |   2 +-
 hybridse/src/planv2/ast_node_converter.cc     |  14 +-
 .../jdbc/RequestPreparedStatementTest.java    |  49 +++--
 onebox/start_onebox.sh                        |   2 +
 src/base/kv_iterator_test.cc                  |  16 +-
 src/catalog/distribute_iterator.cc            |  23 ++-
 src/catalog/tablet_catalog.cc                 |   2 +-
 src/cmd/display.h                             |  23 +--
 src/cmd/openmldb.cc                           |  33 +---
 src/cmd/sql_cmd_test.cc                       |  49 ++++-
 src/codec/codec_bench_test.cc                 |  12 +-
 src/codec/codec_test.cc                       |  22 +--
 src/codec/row_codec.cc                        |  79 ++------
 src/codec/row_codec.h                         |  15 +-
 src/sdk/node_adapter.cc                       |   6 +
 src/sdk/sdk_util.cc                           |   5 +
 src/sdk/sql_cluster_router.cc                 |   6 +-
 src/sdk/sql_cluster_test.cc                   |   2 +-
 src/storage/disk_table.cc                     |  13 +-
 src/storage/disk_table_iterator.cc            |  72 ++++---
 src/storage/disk_table_iterator.h             |  27 ++-
 src/storage/mem_table.cc                      |  19 +-
 src/storage/mem_table_iterator.cc             |  34 +++-
 src/storage/mem_table_iterator.h              |  16 +-
 src/storage/segment.cc                        |  29 +--
 src/storage/segment.h                         |   9 +-
 src/storage/segment_test.cc                   |  12 +-
 src/tablet/tablet_impl.cc                     | 187 ++++--------------
 src/tablet/tablet_impl.h                      |   9 +-
 src/tablet/tablet_impl_test.cc                |  14 +-
 43 files changed, 489 insertions(+), 466 deletions(-)

diff --git a/cases/plan/create.yaml b/cases/plan/create.yaml
index 315ec30a305..f1076934391 100644
--- a/cases/plan/create.yaml
+++ b/cases/plan/create.yaml
@@ -1035,3 +1035,40 @@ cases:
             +-kind: HIVE
             +-path: hdfs://path
           +-table_option_list: []
+
+  - id: 34
+    desc: Create 指定压缩
+    sql: |
+      create table t1(
+          column1 int,
+          column2 timestamp,
+          index(key=column1, ts=column2)) OPTIONS (compress_type="snappy");
+    expect:
+      node_tree_str: |
+        +-node[CREATE]
+          +-table: t1
+          +-IF NOT EXIST: 0
+          +-column_desc_list[list]:
+          |  +-0:
+          |  |  +-node[kColumnDesc]
+          |  |    +-column_name: column1
+          |  |    +-column_type: int32
+          |  |    +-NOT NULL: 0
+          |  +-1:
+          |  |  +-node[kColumnDesc]
+          |  |    +-column_name: column2
+          |  |    +-column_type: timestamp
+          |  |    +-NOT NULL: 0
+          |  +-2:
+          |    +-node[kColumnIndex]
+          |      +-keys: [column1]
+          |      +-ts_col: column2
+          |      +-abs_ttl: -2
+          |      +-lat_ttl: -2
+          |      +-ttl_type: <nil>
+          |      +-version_column: <nil>
+          |      +-version_count: 0
+          +-table_option_list[list]:
+            +-0:
+              +-node[kCompressType]
+                +-compress_type: snappy
diff --git a/docs/en/reference/sql/ddl/CREATE_TABLE_STATEMENT.md b/docs/en/reference/sql/ddl/CREATE_TABLE_STATEMENT.md
index a0d11d90657..ba62cf55231 100644
--- a/docs/en/reference/sql/ddl/CREATE_TABLE_STATEMENT.md
+++ b/docs/en/reference/sql/ddl/CREATE_TABLE_STATEMENT.md
@@ -473,6 +473,11 @@ StorageMode
 						::= 'Memory'
 						    | 'HDD'
 						    | 'SSD'
+CompressTypeOption
+						::= 'COMPRESS_TYPE' '=' CompressType
+CompressType
+						::= 'NoCompress'
+						    | 'Snappy
 ```
 
 
@@ -484,6 +489,7 @@ StorageMode
 | `REPLICANUM`       | It defines the number of replicas for the table. Note that the number of replicas is only configurable in Cluster version.                                                                                                                                                                                                                                                                                                                      | `OPTIONS (REPLICANUM=3)`                                                      |
 | `DISTRIBUTION`     | It defines the distributed node endpoint configuration. Generally, it contains a Leader node and several followers. `(leader, [follower1, follower2, ..])`. Without explicit configuration, OpenMLDB will automatically configure `DISTRIBUTION` according to the environment and nodes.                                                                                                                                                        | `DISTRIBUTION = [ ('127.0.0.1:6527', [ '127.0.0.1:6528','127.0.0.1:6529' ])]` |
 | `STORAGE_MODE`     | It defines the storage mode of the table. The supported modes are `Memory`, `HDD` and `SSD`. When not explicitly configured, it defaults to `Memory`. <br/>If you need to support a storage mode other than `Memory` mode, `tablet` requires additional configuration options. For details, please refer to [tablet configuration file **conf/tablet.flags**](../../../deploy/conf.md#the-configuration-file-for-apiserver:-conf/tablet.flags). | `OPTIONS (STORAGE_MODE='HDD')`                                                |
+| `COMPRESS_TYPE` | It defines the compress types of the table. The supported compress type are `NoCompress` and `Snappy`. The default value is `NoCompress`                                               | `OPTIONS (COMPRESS_TYPE='Snappy')`
 
 
 #### The Difference between Disk Table and Memory Table
@@ -515,11 +521,11 @@ DESC t1;
  --- -------------------- ------ ---------- ------ ---------------
   1   INDEX_0_1651143735   col1   std_time   0min   kAbsoluteTime
  --- -------------------- ------ ---------- ------ ---------------
- --------------
-  storage_mode
- --------------
-  HDD
- --------------
+ --------------- --------------
+  compress_type   storage_mode
+ --------------- --------------
+  NoCompress      HDD
+ --------------- --------------
 ```
 The following sql command create a table with specified distribution.
 ```sql
diff --git a/docs/en/reference/sql/ddl/DESC_STATEMENT.md b/docs/en/reference/sql/ddl/DESC_STATEMENT.md
index 8179c952c56..a7d288064bb 100644
--- a/docs/en/reference/sql/ddl/DESC_STATEMENT.md
+++ b/docs/en/reference/sql/ddl/DESC_STATEMENT.md
@@ -56,11 +56,11 @@ desc t1;
  --- -------------------- ------ ---------- ---------- ---------------
   1   INDEX_0_1658136511   col1   std_time   43200min   kAbsoluteTime
  --- -------------------- ------ ---------- ---------- ---------------
- --------------
-  storage_mode
- --------------
-  Memory
- --------------
+ --------------- --------------
+  compress_type   storage_mode
+ --------------- --------------
+  NoCompress      Memory
+ --------------- --------------
 
 ```
 
diff --git a/docs/en/reference/sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md b/docs/en/reference/sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md
index dd411410e65..967ebce316a 100644
--- a/docs/en/reference/sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md
+++ b/docs/en/reference/sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md
@@ -21,7 +21,7 @@ show create table t1;
           `c3` bigInt,
           `c4` timestamp,
           INDEX (KEY=`c1`, TS=`c4`, TTL_TYPE=ABSOLUTE, TTL=0m)
-          ) OPTIONS (PARTITIONNUM=8, REPLICANUM=2, STORAGE_MODE='HDD');
+          ) OPTIONS (PARTITIONNUM=8, REPLICANUM=2, STORAGE_MODE='HDD', COMPRESS_TYPE='NoCompress');
  ------- ---------------------------------------------------------------
 
 1 rows in set
diff --git a/docs/zh/openmldb_sql/ddl/CREATE_TABLE_STATEMENT.md b/docs/zh/openmldb_sql/ddl/CREATE_TABLE_STATEMENT.md
index 1dffc9d4cae..a44f699eed3 100644
--- a/docs/zh/openmldb_sql/ddl/CREATE_TABLE_STATEMENT.md
+++ b/docs/zh/openmldb_sql/ddl/CREATE_TABLE_STATEMENT.md
@@ -450,6 +450,11 @@ StorageMode
 						::= 'Memory'
 						    | 'HDD'
 						    | 'SSD'
+CompressTypeOption
+						::= 'COMPRESS_TYPE' '=' CompressType
+CompressType
+						::= 'NoCompress'
+						    | 'Snappy'
 ```
 
 
@@ -460,6 +465,7 @@ StorageMode
 | `REPLICANUM`   | 配置表的副本数。请注意，副本数只有在集群版中才可以配置。                                                                                                                                     | `OPTIONS (REPLICANUM=3)`                                                      |
 | `DISTRIBUTION` | 配置分布式的节点endpoint。一般包含一个Leader节点和若干Follower节点。`(leader, [follower1, follower2, ..])`。不显式配置时，OpenMLDB会自动根据环境和节点来配置`DISTRIBUTION`。                                  | `DISTRIBUTION = [ ('127.0.0.1:6527', [ '127.0.0.1:6528','127.0.0.1:6529' ])]` |
 | `STORAGE_MODE` | 表的存储模式，支持的模式有`Memory`、`HDD`或`SSD`。不显式配置时，默认为`Memory`。<br/>如果需要支持非`Memory`模式的存储模式，`tablet`需要额外的配置选项，具体可参考[tablet配置文件 conf/tablet.flags](../../../deploy/conf.md)。 | `OPTIONS (STORAGE_MODE='HDD')`                                                |
+| `COMPRESS_TYPE` | 指定表的压缩类型。目前只支持Snappy压缩, 。默认为 `NoCompress` 即不压缩。                                               | `OPTIONS (COMPRESS_TYPE='Snappy')`
 
 #### 磁盘表与内存表区别
 - 磁盘表对应`STORAGE_MODE`的取值为`HDD`或`SSD`。内存表对应的`STORAGE_MODE`取值为`Memory`。
@@ -488,11 +494,11 @@ DESC t1;
  --- -------------------- ------ ---------- ------ ---------------
   1   INDEX_0_1651143735   col1   std_time   0min   kAbsoluteTime
  --- -------------------- ------ ---------- ------ ---------------
- --------------
-  storage_mode
- --------------
-  HDD
- --------------
+ --------------- --------------
+  compress_type   storage_mode
+ --------------- --------------
+  NoCompress      HDD
+ --------------- --------------
 ```
 创建一张表，指定分片的分布状态
 ```sql
diff --git a/docs/zh/openmldb_sql/ddl/DESC_STATEMENT.md b/docs/zh/openmldb_sql/ddl/DESC_STATEMENT.md
index 1088411dc03..ca0d0de87bf 100644
--- a/docs/zh/openmldb_sql/ddl/DESC_STATEMENT.md
+++ b/docs/zh/openmldb_sql/ddl/DESC_STATEMENT.md
@@ -56,11 +56,11 @@ desc t1;
  --- -------------------- ------ ---------- ---------- ---------------
   1   INDEX_0_1658136511   col1   std_time   43200min   kAbsoluteTime
  --- -------------------- ------ ---------- ---------- ---------------
- --------------
-  storage_mode
- --------------
-  Memory
- --------------
+ --------------- --------------
+  compress_type   storage_mode
+ --------------- --------------
+  NoCompress      Memory
+ --------------- --------------
 
 ```
 
diff --git a/docs/zh/openmldb_sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md b/docs/zh/openmldb_sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md
index e697f687846..22c08fb754e 100644
--- a/docs/zh/openmldb_sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md
+++ b/docs/zh/openmldb_sql/ddl/SHOW_CREATE_TABLE_STATEMENT.md
@@ -21,7 +21,7 @@ show create table t1;
           `c3` bigInt,
           `c4` timestamp,
           INDEX (KEY=`c1`, TS=`c4`, TTL_TYPE=ABSOLUTE, TTL=0m)
-          ) OPTIONS (PARTITIONNUM=8, REPLICANUM=2, STORAGE_MODE='HDD');
+          ) OPTIONS (PARTITIONNUM=8, REPLICANUM=2, STORAGE_MODE='HDD',  COMPRESS_TYPE='NoCompress');
  ------- ---------------------------------------------------------------
 
 1 rows in set
diff --git a/hybridse/include/node/node_enum.h b/hybridse/include/node/node_enum.h
index 16e18291478..b903eaafdd5 100644
--- a/hybridse/include/node/node_enum.h
+++ b/hybridse/include/node/node_enum.h
@@ -97,6 +97,7 @@ enum SqlNodeType {
     kWithClauseEntry,
     kAlterTableStmt,
     kShowStmt,
+    kCompressType,
     kSqlNodeTypeLast,  // debug type
 };
 
@@ -342,6 +343,11 @@ enum StorageMode {
     kHDD = 3,
 };
 
+enum CompressType {
+    kNoCompress = 0,
+    kSnappy = 1,
+};
+
 // batch plan node type
 enum BatchPlanNodeType { kBatchDataset, kBatchPartition, kBatchMap };
 
diff --git a/hybridse/include/node/node_manager.h b/hybridse/include/node/node_manager.h
index ab87e588a53..e70f0a59564 100644
--- a/hybridse/include/node/node_manager.h
+++ b/hybridse/include/node/node_manager.h
@@ -399,8 +399,6 @@ class NodeManager {
 
     SqlNode *MakeReplicaNumNode(int num);
 
-    SqlNode *MakeStorageModeNode(StorageMode storage_mode);
-
     SqlNode *MakePartitionNumNode(int num);
 
     SqlNode *MakeDistributionsNode(const NodePointVector& distribution_list);
diff --git a/hybridse/include/node/sql_node.h b/hybridse/include/node/sql_node.h
index dcf162a96ab..30f7a6cc34a 100644
--- a/hybridse/include/node/sql_node.h
+++ b/hybridse/include/node/sql_node.h
@@ -25,6 +25,7 @@
 #include <vector>
 
 #include "absl/status/statusor.h"
+#include "absl/strings/match.h"
 #include "absl/strings/str_cat.h"
 #include "absl/strings/string_view.h"
 #include "boost/algorithm/string.hpp"
@@ -309,17 +310,26 @@ inline const std::string StorageModeName(StorageMode mode) {
 }
 
 inline const StorageMode NameToStorageMode(const std::string& name) {
-    if (boost::iequals(name, "memory")) {
+    if (absl::EqualsIgnoreCase(name, "memory")) {
         return kMemory;
-    } else if (boost::iequals(name, "hdd")) {
+    } else if (absl::EqualsIgnoreCase(name, "hdd")) {
         return kHDD;
-    } else if (boost::iequals(name, "ssd")) {
+    } else if (absl::EqualsIgnoreCase(name, "ssd")) {
         return kSSD;
     } else {
         return kUnknown;
     }
 }
 
+inline absl::StatusOr<CompressType> NameToCompressType(const std::string& name) {
+    if (absl::EqualsIgnoreCase(name, "snappy")) {
+        return CompressType::kSnappy;
+    } else if (absl::EqualsIgnoreCase(name, "nocompress")) {
+        return CompressType::kNoCompress;
+    }
+    return absl::Status(absl::StatusCode::kInvalidArgument, absl::StrCat("invalid compress type: ", name));
+}
+
 inline const std::string RoleTypeName(RoleType type) {
     switch (type) {
         case kLeader:
@@ -1884,6 +1894,23 @@ class StorageModeNode : public SqlNode {
     StorageMode storage_mode_;
 };
 
+class CompressTypeNode : public SqlNode {
+ public:
+    CompressTypeNode() : SqlNode(kCompressType, 0, 0), compress_type_(kNoCompress) {}
+
+    explicit CompressTypeNode(CompressType compress_type)
+        : SqlNode(kCompressType, 0, 0), compress_type_(compress_type) {}
+
+    ~CompressTypeNode() {}
+
+    CompressType GetCompressType() const { return compress_type_; }
+
+    void Print(std::ostream &output, const std::string &org_tab) const;
+
+ private:
+    CompressType compress_type_;
+};
+
 class CreateTableLikeClause {
  public:
     CreateTableLikeClause() = default;
diff --git a/hybridse/src/node/node_manager.cc b/hybridse/src/node/node_manager.cc
index 8f6f80d7517..f60ba20d6b2 100644
--- a/hybridse/src/node/node_manager.cc
+++ b/hybridse/src/node/node_manager.cc
@@ -1031,11 +1031,6 @@ SqlNode *NodeManager::MakeReplicaNumNode(int num) {
     return RegisterNode(node_ptr);
 }
 
-SqlNode *NodeManager::MakeStorageModeNode(StorageMode storage_mode) {
-    SqlNode *node_ptr = new StorageModeNode(storage_mode);
-    return RegisterNode(node_ptr);
-}
-
 SqlNode *NodeManager::MakePartitionNumNode(int num) {
     SqlNode *node_ptr = new PartitionNumNode(num);
     return RegisterNode(node_ptr);
diff --git a/hybridse/src/node/plan_node_test.cc b/hybridse/src/node/plan_node_test.cc
index 4f0d55d0166..5ffb76142a7 100644
--- a/hybridse/src/node/plan_node_test.cc
+++ b/hybridse/src/node/plan_node_test.cc
@@ -239,7 +239,8 @@ TEST_F(PlanNodeTest, ExtractColumnsAndIndexsTest) {
          manager_->MakeColumnDescNode("col3", node::kFloat, true),
          manager_->MakeColumnDescNode("col4", node::kVarchar, true),
          manager_->MakeColumnDescNode("col5", node::kTimestamp, true), index_node},
-        {manager_->MakeReplicaNumNode(3), manager_->MakePartitionNumNode(8), manager_->MakeStorageModeNode(kMemory)},
+        {manager_->MakeReplicaNumNode(3), manager_->MakePartitionNumNode(8),
+         manager_->MakeNode<StorageModeNode>(kMemory)},
         false);
     ASSERT_TRUE(nullptr != node);
     std::vector<std::string> columns;
diff --git a/hybridse/src/node/sql_node.cc b/hybridse/src/node/sql_node.cc
index 6fa2a82d42a..3847366c148 100644
--- a/hybridse/src/node/sql_node.cc
+++ b/hybridse/src/node/sql_node.cc
@@ -1168,6 +1168,7 @@ static absl::flat_hash_map<SqlNodeType, absl::string_view> CreateSqlNodeTypeToNa
         {kReplicaNum, "kReplicaNum"},
         {kPartitionNum, "kPartitionNum"},
         {kStorageMode, "kStorageMode"},
+        {kCompressType, "kCompressType"},
         {kFn, "kFn"},
         {kFnParaList, "kFnParaList"},
         {kCreateSpStmt, "kCreateSpStmt"},
@@ -2603,6 +2604,17 @@ void StorageModeNode::Print(std::ostream &output, const std::string &org_tab) co
     PrintValue(output, tab, StorageModeName(storage_mode_), "storage_mode", true);
 }
 
+void CompressTypeNode::Print(std::ostream &output, const std::string &org_tab) const {
+    SqlNode::Print(output, org_tab);
+    const std::string tab = org_tab + INDENT + SPACE_ED;
+    output << "\n";
+    if (compress_type_ == CompressType::kSnappy) {
+        PrintValue(output, tab, "snappy", "compress_type", true);
+    }  else {
+        PrintValue(output, tab, "nocompress", "compress_type", true);
+    }
+}
+
 void PartitionNumNode::Print(std::ostream &output, const std::string &org_tab) const {
     SqlNode::Print(output, org_tab);
     const std::string tab = org_tab + INDENT + SPACE_ED;
diff --git a/hybridse/src/node/sql_node_test.cc b/hybridse/src/node/sql_node_test.cc
index 545d9b647fd..227cb80dcea 100644
--- a/hybridse/src/node/sql_node_test.cc
+++ b/hybridse/src/node/sql_node_test.cc
@@ -676,7 +676,7 @@ TEST_F(SqlNodeTest, CreateIndexNodeTest) {
          node_manager_->MakeColumnDescNode("col4", node::kVarchar, true),
          node_manager_->MakeColumnDescNode("col5", node::kTimestamp, true), index_node},
         {node_manager_->MakeReplicaNumNode(3), node_manager_->MakePartitionNumNode(8),
-         node_manager_->MakeStorageModeNode(kMemory)},
+         node_manager_->MakeNode<StorageModeNode>(kMemory)},
         false);
     ASSERT_TRUE(nullptr != node);
     std::vector<std::string> columns;
diff --git a/hybridse/src/planv2/ast_node_converter.cc b/hybridse/src/planv2/ast_node_converter.cc
index c0c3864716b..affb85f91bc 100644
--- a/hybridse/src/planv2/ast_node_converter.cc
+++ b/hybridse/src/planv2/ast_node_converter.cc
@@ -1761,8 +1761,18 @@ base::Status ConvertTableOption(const zetasql::ASTOptionsEntry* entry, node::Nod
     } else if (absl::EqualsIgnoreCase("storage_mode", identifier_v)) {
         std::string storage_mode;
         CHECK_STATUS(AstStringLiteralToString(entry->value(), &storage_mode));
-        boost::to_lower(storage_mode);
-        *output = node_manager->MakeStorageModeNode(node::NameToStorageMode(storage_mode));
+        absl::AsciiStrToLower(&storage_mode);
+        *output = node_manager->MakeNode<node::StorageModeNode>(node::NameToStorageMode(storage_mode));
+    } else if (absl::EqualsIgnoreCase("compress_type", identifier_v)) {
+        std::string compress_type;
+        CHECK_STATUS(AstStringLiteralToString(entry->value(), &compress_type));
+        absl::AsciiStrToLower(&compress_type);
+        auto ret = node::NameToCompressType(compress_type);
+        if (ret.ok()) {
+            *output = node_manager->MakeNode<node::CompressTypeNode>(*ret);
+        } else {
+            return base::Status(common::kSqlAstError, ret.status().ToString());
+        }
     } else {
         return base::Status(common::kSqlAstError, absl::StrCat("invalid option ", identifier));
     }
diff --git a/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/RequestPreparedStatementTest.java b/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/RequestPreparedStatementTest.java
index dc520b74221..8f621f862e9 100644
--- a/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/RequestPreparedStatementTest.java
+++ b/java/openmldb-jdbc/src/test/java/com/_4paradigm/openmldb/jdbc/RequestPreparedStatementTest.java
@@ -23,6 +23,7 @@
 import java.sql.*;
 
 import org.testng.Assert;
+import org.testng.annotations.DataProvider;
 import org.testng.annotations.Test;
 
 import java.sql.PreparedStatement;
@@ -49,20 +50,30 @@ public class RequestPreparedStatementTest {
         }
     }
 
-    @Test
-    public void testRequest() {
+    @DataProvider(name = "createOption")
+    Object[][] getCreateParm() {
+        return new Object[][] { {"NoCompress", "Memory"},
+                                {"NoCompress", "HDD"},
+                                {"Snappy", "Memory"},
+                                {"Snappy", "HDD"} };
+    }
+
+    @Test(dataProvider = "createOption")
+    public void testRequest(String compressType, String storageMode) {
         String dbname = "db" + random.nextInt(100000);
         executor.dropDB(dbname);
         boolean ok = executor.createDB(dbname);
         Assert.assertTrue(ok);
-        String createTableSql = "create table trans(c1 string,\n" +
+        String baseSql = "create table trans(c1 string,\n" +
                 "                   c3 int,\n" +
                 "                   c4 bigint,\n" +
                 "                   c5 float,\n" +
                 "                   c6 double,\n" +
                 "                   c7 timestamp,\n" +
                 "                   c8 date,\n" +
-                "                   index(key=c1, ts=c7));";
+                "                   index(key=c1, ts=c7))\n ";
+        String createTableSql = String.format("%s OPTIONS (compress_type='%s', storage_mode='%s');",
+                baseSql, compressType, storageMode);
         executor.executeDDL(dbname, createTableSql);
         String insertSql = "insert into trans values(\"aa\",23,33,1.4,2.4,1590738993000,\"2020-05-04\");";
         PreparedStatement pstmt = null;
@@ -127,8 +138,8 @@ public void testRequest() {
         }
     }
 
-    @Test
-    public void testDeploymentRequest() {
+    @Test(dataProvider = "createOption")
+    public void testDeploymentRequest(String compressType, String storageMode) {
         java.sql.Statement state = executor.getStatement();
         String dbname = "db" + random.nextInt(100000);
         String deploymentName = "dp_test1";
@@ -136,14 +147,16 @@ public void testDeploymentRequest() {
             state.execute("drop database if exists " + dbname + ";");
             state.execute("create database " + dbname + ";");
             state.execute("use " + dbname + ";");
-            String createTableSql = "create table trans(c1 string,\n" +
+            String baseSql = "create table trans(c1 string,\n" +
                     "                   c3 int,\n" +
                     "                   c4 bigint,\n" +
                     "                   c5 float,\n" +
                     "                   c6 double,\n" +
                     "                   c7 timestamp,\n" +
                     "                   c8 date,\n" +
-                    "                   index(key=c1, ts=c7));";
+                    "                   index(key=c1, ts=c7))";
+            String createTableSql = String.format(" %s OPTIONS (compress_type='%s', storage_mode='%s');",
+                    baseSql, compressType, storageMode);
             state.execute(createTableSql);
             String selectSql = "SELECT c1, c3, sum(c4) OVER w1 as w1_c4_sum FROM trans WINDOW w1 AS " +
                     "(PARTITION BY trans.c1 ORDER BY trans.c7 ROWS BETWEEN 2 PRECEDING AND CURRENT ROW);";
@@ -217,20 +230,22 @@ public void testDeploymentRequest() {
         }
     }
 
-    @Test
-    public void testBatchRequest() {
+    @Test(dataProvider = "createOption")
+    public void testBatchRequest(String compressType, String storageMode) {
         String dbname = "db" + random.nextInt(100000);
         executor.dropDB(dbname);
         boolean ok = executor.createDB(dbname);
         Assert.assertTrue(ok);
-        String createTableSql = "create table trans(c1 string,\n" +
+        String baseSql = "create table trans(c1 string,\n" +
                 "                   c3 int,\n" +
                 "                   c4 bigint,\n" +
                 "                   c5 float,\n" +
                 "                   c6 double,\n" +
                 "                   c7 timestamp,\n" +
                 "                   c8 date,\n" +
-                "                   index(key=c1, ts=c7));";
+                "                   index(key=c1, ts=c7))";
+        String createTableSql = String.format(" %s OPTIONS (compress_type='%s', storage_mode='%s');",
+                baseSql, compressType, storageMode);
         executor.executeDDL(dbname, createTableSql);
         String insertSql = "insert into trans values(\"aa\",23,33,1.4,2.4,1590738993000,\"2020-05-04\");";
         PreparedStatement pstmt = null;
@@ -302,8 +317,8 @@ public void testBatchRequest() {
         }
     }
 
-    @Test
-    public void testDeploymentBatchRequest() {
+    @Test(dataProvider = "createOption")
+    public void testDeploymentBatchRequest(String compressType, String storageMode) {
         java.sql.Statement state = executor.getStatement();
         String dbname = "db" + random.nextInt(100000);
         String deploymentName = "dp_test1";
@@ -311,14 +326,16 @@ public void testDeploymentBatchRequest() {
             state.execute("drop database if exists " + dbname + ";");
             state.execute("create database " + dbname + ";");
             state.execute("use " + dbname + ";");
-            String createTableSql = "create table trans(c1 string,\n" +
+            String baseSql = "create table trans(c1 string,\n" +
                     "                   c3 int,\n" +
                     "                   c4 bigint,\n" +
                     "                   c5 float,\n" +
                     "                   c6 double,\n" +
                     "                   c7 timestamp,\n" +
                     "                   c8 date,\n" +
-                    "                   index(key=c1, ts=c7));";
+                    "                   index(key=c1, ts=c7))";
+            String createTableSql = String.format(" %s OPTIONS (compress_type='%s', storage_mode='%s');",
+                    baseSql, compressType, storageMode);
             state.execute(createTableSql);
             String selectSql = "SELECT c1, c3, sum(c4) OVER w1 as w1_c4_sum FROM trans WINDOW w1 AS " +
                     "(PARTITION BY trans.c1 ORDER BY trans.c7 ROWS BETWEEN 2 PRECEDING AND CURRENT ROW);";
diff --git a/onebox/start_onebox.sh b/onebox/start_onebox.sh
index 639e409b37c..1d92dc7cb62 100755
--- a/onebox/start_onebox.sh
+++ b/onebox/start_onebox.sh
@@ -75,6 +75,8 @@ cluster_start_component() {
             --zk_keep_alive_check_interval=60000
             --db_root_path="$binlog_dir"
             --recycle_bin_root_path="$recycle_bin_dir"
+            --hdd_root_path="$binlog_dir"
+            --recycle_bin_hdd_root_path="$recycle_bin_dir"
         )
     elif [[ $role = 'nameserver' ]]; then
         extra_opts+=(
diff --git a/src/base/kv_iterator_test.cc b/src/base/kv_iterator_test.cc
index 3c35d6ba472..11e4228c5b3 100644
--- a/src/base/kv_iterator_test.cc
+++ b/src/base/kv_iterator_test.cc
@@ -77,13 +77,12 @@ TEST_F(KvIteratorTest, Iterator) {
 
 TEST_F(KvIteratorTest, HasPK) {
     auto response = std::make_shared<::openmldb::api::TraverseResponse>();
-    std::string* pairs = response->mutable_pairs();
-    pairs->resize(52);
-    char* data = reinterpret_cast<char*>(&((*pairs)[0]));
     ::openmldb::storage::DataBlock* db1 = new ::openmldb::storage::DataBlock(1, "hello", 5);
     ::openmldb::storage::DataBlock* db2 = new ::openmldb::storage::DataBlock(1, "hell1", 5);
-    ::openmldb::codec::EncodeFull("test1", 9527, db1, data, 0);
-    ::openmldb::codec::EncodeFull("test2", 9528, db2, data, 26);
+    butil::IOBuf buf;
+    ::openmldb::codec::EncodeFull("test1", 9527, db1->data, db1->size, &buf);
+    ::openmldb::codec::EncodeFull("test2", 9528, db2->data, db2->size, &buf);
+    buf.copy_to(response->mutable_pairs());
     TraverseKvIterator kv_it(response);
     ASSERT_TRUE(kv_it.Valid());
     ASSERT_STREQ("test1", kv_it.GetPK().c_str());
@@ -100,19 +99,18 @@ TEST_F(KvIteratorTest, HasPK) {
 
 TEST_F(KvIteratorTest, NextPK) {
     auto response = std::make_shared<::openmldb::api::TraverseResponse>();
-    std::string* pairs = response->mutable_pairs();
-    pairs->resize(16*9 + 90);
     std::string value("hello");
-    char* data = reinterpret_cast<char*>(&((*pairs)[0]));
     uint32_t offset = 0;
+    butil::IOBuf buf;
     for (int i = 0; i < 3; i++) {
         std::string pk = "test" + std::to_string(i);
         uint64_t ts = 9500;
         for (int j = 0; j < 3; j++) {
-            ::openmldb::codec::EncodeFull(pk, ts - j, value.data(), value.size(), data, offset);
+            ::openmldb::codec::EncodeFull(pk, ts - j, value.data(), value.size(), &buf);
             offset += 16 + 10;
         }
     }
+    buf.copy_to(response->mutable_pairs());
     TraverseKvIterator kv_it(response);
     int count = 0;
     while (kv_it.Valid()) {
diff --git a/src/catalog/distribute_iterator.cc b/src/catalog/distribute_iterator.cc
index e99431728d5..b82afbb81fd 100644
--- a/src/catalog/distribute_iterator.cc
+++ b/src/catalog/distribute_iterator.cc
@@ -175,20 +175,19 @@ const ::hybridse::codec::Row& FullTableIterator::GetValue() {
     }
 
     valid_value_ = true;
+    base::Slice slice_row;
     if (it_ && it_->Valid()) {
-        value_ = ::hybridse::codec::Row(
-            ::hybridse::base::RefCountedSlice::Create(it_->GetValue().data(), it_->GetValue().size()));
-        return value_;
+        slice_row = it_->GetValue();
     } else {
-        auto slice_row = kv_it_->GetValue();
-        size_t sz = slice_row.size();
-        int8_t* copyed_row_data = reinterpret_cast<int8_t*>(malloc(sz));
-        memcpy(copyed_row_data, slice_row.data(), sz);
-        auto shared_slice = ::hybridse::base::RefCountedSlice::CreateManaged(copyed_row_data, sz);
-        buffered_slices_.push_back(shared_slice);
-        value_.Reset(shared_slice);
-        return value_;
+        slice_row = kv_it_->GetValue();
     }
+    size_t sz = slice_row.size();
+    int8_t* copyed_row_data = reinterpret_cast<int8_t*>(malloc(sz));
+    memcpy(copyed_row_data, slice_row.data(), sz);
+    auto shared_slice = ::hybridse::base::RefCountedSlice::CreateManaged(copyed_row_data, sz);
+    buffered_slices_.push_back(shared_slice);
+    value_.Reset(shared_slice);
+    return value_;
 }
 
 DistributeWindowIterator::DistributeWindowIterator(uint32_t tid, uint32_t pid_num, std::shared_ptr<Tables> tables,
@@ -424,7 +423,7 @@ const ::hybridse::codec::Row& RemoteWindowIterator::GetValue() {
     memcpy(copyed_row_data, slice_row.data(), sz);
     auto shared_slice = ::hybridse::base::RefCountedSlice::CreateManaged(copyed_row_data, sz);
     row_.Reset(shared_slice);
-    DLOG(INFO) << "get value  pk " << pk_ << " ts_key " << kv_it_->GetKey() << " ts " << ts_;
+    LOG(INFO) << "get value  pk " << pk_ << " ts_key " << kv_it_->GetKey() << " ts " << ts_;
     valid_value_ = true;
     return row_;
 }
diff --git a/src/catalog/tablet_catalog.cc b/src/catalog/tablet_catalog.cc
index a9e74ff7061..cdf979167fc 100644
--- a/src/catalog/tablet_catalog.cc
+++ b/src/catalog/tablet_catalog.cc
@@ -503,7 +503,7 @@ bool TabletCatalog::UpdateTableInfo(const ::openmldb::nameserver::TableInfo& tab
                 return false;
             }
             db_it->second.emplace(table_name, handler);
-            LOG(INFO) << "add table " << table_name << "to db " << db_name << " tid " << table_info.tid();
+            LOG(INFO) << "add table " << table_name << " to db " << db_name << " tid " << table_info.tid();
         }
         if (bool updated = false; !handler->Update(table_info, client_manager_, &updated)) {
             return false;
diff --git a/src/cmd/display.h b/src/cmd/display.h
index 518d68463de..714a9ca6a73 100644
--- a/src/cmd/display.h
+++ b/src/cmd/display.h
@@ -147,7 +147,7 @@ __attribute__((unused)) static void PrintColumnKey(
     stream << t;
 }
 
-__attribute__((unused)) static void ShowTableRows(bool is_compress, ::openmldb::codec::SDKCodec* codec,
+__attribute__((unused)) static void ShowTableRows(::openmldb::codec::SDKCodec* codec,
                                                   ::openmldb::cmd::SDKIterator* it) {
     std::vector<std::string> row = codec->GetColNames();
     if (!codec->HasTSCol()) {
@@ -161,12 +161,7 @@ __attribute__((unused)) static void ShowTableRows(bool is_compress, ::openmldb::
     while (it->Valid()) {
         std::vector<std::string> vrow;
         openmldb::base::Slice data = it->GetValue();
-        std::string value;
-        if (is_compress) {
-            ::snappy::Uncompress(data.data(), data.size(), &value);
-        } else {
-            value.assign(data.data(), data.size());
-        }
+        std::string value(data.data(), data.size());
         codec->DecodeRow(value, &vrow);
         if (!codec->HasTSCol()) {
             vrow.insert(vrow.begin(), std::to_string(it->GetKey()));
@@ -187,19 +182,16 @@ __attribute__((unused)) static void ShowTableRows(bool is_compress, ::openmldb::
 __attribute__((unused)) static void ShowTableRows(const ::openmldb::api::TableMeta& table_info,
                                                   ::openmldb::cmd::SDKIterator* it) {
     ::openmldb::codec::SDKCodec codec(table_info);
-    bool is_compress = table_info.compress_type() == ::openmldb::type::CompressType::kSnappy ? true : false;
-    ShowTableRows(is_compress, &codec, it);
+    ShowTableRows(&codec, it);
 }
 
 __attribute__((unused)) static void ShowTableRows(const ::openmldb::nameserver::TableInfo& table_info,
                                                   ::openmldb::cmd::SDKIterator* it) {
     ::openmldb::codec::SDKCodec codec(table_info);
-    bool is_compress = table_info.compress_type() == ::openmldb::type::CompressType::kSnappy ? true : false;
-    ShowTableRows(is_compress, &codec, it);
+    ShowTableRows(&codec, it);
 }
 
-__attribute__((unused)) static void ShowTableRows(const std::string& key, ::openmldb::cmd::SDKIterator* it,
-                                                  const ::openmldb::type::CompressType compress_type) {
+__attribute__((unused)) static void ShowTableRows(const std::string& key, ::openmldb::cmd::SDKIterator* it) {
     ::baidu::common::TPrinter tp(4, FLAGS_max_col_display_length);
     std::vector<std::string> row;
     row.push_back("#");
@@ -210,11 +202,6 @@ __attribute__((unused)) static void ShowTableRows(const std::string& key, ::open
     uint32_t index = 1;
     while (it->Valid()) {
         std::string value = it->GetValue().ToString();
-        if (compress_type == ::openmldb::type::CompressType::kSnappy) {
-            std::string uncompressed;
-            ::snappy::Uncompress(value.c_str(), value.length(), &uncompressed);
-            value = uncompressed;
-        }
         row.clear();
         row.push_back(std::to_string(index));
         row.push_back(key);
diff --git a/src/cmd/openmldb.cc b/src/cmd/openmldb.cc
index 3cf22b2df6d..d132190f588 100644
--- a/src/cmd/openmldb.cc
+++ b/src/cmd/openmldb.cc
@@ -18,7 +18,6 @@
 #include <gflags/gflags.h>
 #include <google/protobuf/io/zero_copy_stream_impl.h>
 #include <google/protobuf/text_format.h>
-#include <snappy.h>
 #include <unistd.h>
 
 #include <iostream>
@@ -341,11 +340,6 @@ ::openmldb::base::Status PutSchemaData(const ::openmldb::nameserver::TableInfo&
         return ::openmldb::base::Status(-1, "Encode data error");
     }
 
-    if (table_info.compress_type() == ::openmldb::type::CompressType::kSnappy) {
-        std::string compressed;
-        ::snappy::Compress(value.c_str(), value.length(), &compressed);
-        value = compressed;
-    }
     const int tid = table_info.tid();
     PutData(tid, dimensions, ts, value, table_info.table_partition());
 
@@ -1396,11 +1390,6 @@ void HandleNSGet(const std::vector<std::string>& parts, ::openmldb::client::NsCl
             std::string msg;
             bool ok = tb_client->Get(tid, pid, key, timestamp, value, ts, msg);
             if (ok) {
-                if (tables[0].compress_type() == ::openmldb::type::CompressType::kSnappy) {
-                    std::string uncompressed;
-                    ::snappy::Uncompress(value.c_str(), value.length(), &uncompressed);
-                    value = uncompressed;
-                }
                 std::cout << "value :" << value << std::endl;
             } else {
                 std::cout << "Get failed. error msg: " << msg << std::endl;
@@ -1447,11 +1436,6 @@ void HandleNSGet(const std::vector<std::string>& parts, ::openmldb::client::NsCl
                 return;
             }
         }
-        if (tables[0].compress_type() == ::openmldb::type::CompressType::kSnappy) {
-            std::string uncompressed;
-            ::snappy::Uncompress(value.c_str(), value.length(), &uncompressed);
-            value.swap(uncompressed);
-        }
         row.clear();
         codec.DecodeRow(value, &row);
         ::openmldb::cmd::TransferString(&row);
@@ -1588,7 +1572,7 @@ void HandleNSScan(const std::vector<std::string>& parts, ::openmldb::client::NsC
             std::vector<std::shared_ptr<::openmldb::base::KvIterator>> iter_vec;
             iter_vec.push_back(std::move(it));
             ::openmldb::cmd::SDKIterator sdk_it(iter_vec, limit);
-            ::openmldb::cmd::ShowTableRows(key, &sdk_it, tables[0].compress_type());
+            ::openmldb::cmd::ShowTableRows(key, &sdk_it);
         }
     } else {
         if (parts.size() < 6) {
@@ -1848,25 +1832,14 @@ void HandleNSPreview(const std::vector<std::string>& parts, ::openmldb::client::
             row.push_back(std::to_string(index));
 
             if (no_schema) {
-                std::string value = it->GetValue().ToString();
-                if (tables[0].compress_type() == ::openmldb::type::CompressType::kSnappy) {
-                    std::string uncompressed;
-                    ::snappy::Uncompress(value.c_str(), value.length(), &uncompressed);
-                    value = uncompressed;
-                }
                 row.push_back(it->GetPK());
                 row.push_back(std::to_string(it->GetKey()));
-                row.push_back(value);
+                row.push_back(it->GetValue().ToString());
             } else {
                 if (!has_ts_col) {
                     row.push_back(std::to_string(it->GetKey()));
                 }
-                std::string value;
-                if (tables[0].compress_type() == ::openmldb::type::CompressType::kSnappy) {
-                    ::snappy::Uncompress(it->GetValue().data(), it->GetValue().size(), &value);
-                } else {
-                    value.assign(it->GetValue().data(), it->GetValue().size());
-                }
+                std::string value(it->GetValue().data(), it->GetValue().size());
                 codec.DecodeRow(value, &row);
                 ::openmldb::cmd::TransferString(&row);
                 uint64_t row_size = row.size();
diff --git a/src/cmd/sql_cmd_test.cc b/src/cmd/sql_cmd_test.cc
index 1896ac7c674..8f17d276be6 100644
--- a/src/cmd/sql_cmd_test.cc
+++ b/src/cmd/sql_cmd_test.cc
@@ -331,6 +331,45 @@ TEST_P(DBSDKTest, Select) {
     ASSERT_TRUE(status.IsOK());
 }
 
+TEST_P(DBSDKTest, SelectSnappy) {
+    auto cli = GetParam();
+    cs = cli->cs;
+    sr = cli->sr;
+    hybridse::sdk::Status status;
+    if (cs->IsClusterMode()) {
+        sr->ExecuteSQL("SET @@execute_mode='online';", &status);
+        ASSERT_TRUE(status.IsOK()) << "error msg: " + status.msg;
+    }
+    std::string db = "db" + GenRand();
+    sr->ExecuteSQL("create database " + db + ";", &status);
+    ASSERT_TRUE(status.IsOK());
+    sr->ExecuteSQL("use " + db + ";", &status);
+    ASSERT_TRUE(status.IsOK());
+    std::string create_sql =
+        "create table trans (c1 string, c2 bigint, c3 date,"
+        "index(key=c1, ts=c2, abs_ttl=0, ttl_type=absolute)) options (compress_type='snappy');";
+    sr->ExecuteSQL(create_sql, &status);
+    ASSERT_TRUE(status.IsOK());
+    int insert_num = 100;
+    for (int i = 0; i < insert_num; i++) {
+        auto insert_sql = absl::StrCat("insert into trans values ('aaa", i, "', 1635247427000, \"2021-05-20\");");
+        sr->ExecuteSQL(insert_sql, &status);
+        ASSERT_TRUE(status.IsOK());
+    }
+    auto rs = sr->ExecuteSQL("select * from trans", &status);
+    ASSERT_TRUE(status.IsOK());
+    ASSERT_EQ(insert_num, rs->Size());
+    int count = 0;
+    while (rs->Next()) {
+        count++;
+    }
+    EXPECT_EQ(count, insert_num);
+    sr->ExecuteSQL("drop table trans;", &status);
+    ASSERT_TRUE(status.IsOK());
+    sr->ExecuteSQL("drop database " + db + ";", &status);
+    ASSERT_TRUE(status.IsOK());
+}
+
 TEST_F(SqlCmdTest, SelectMultiPartition) {
     auto sr = cluster_cli.sr;
     std::string db_name = "test" + GenRand();
@@ -461,11 +500,11 @@ TEST_P(DBSDKTest, Desc) {
         " --- ------- ----------- ------ --------- \n";
 
     std::string expect_options =
-        " -------------- \n"
-        "  storage_mode  \n"
-        " -------------- \n"
-        "  Memory        \n"
-        " -------------- \n\n";
+        " --------------- -------------- \n"
+        "  compress_type   storage_mode  \n"
+        " --------------- -------------- \n"
+        "  NoCompress      Memory        \n"
+        " --------------- -------------- \n\n";
 
     // index name is dynamically assigned. do not check here
     std::vector<std::string> expect = {expect_schema, "", expect_options};
diff --git a/src/codec/codec_bench_test.cc b/src/codec/codec_bench_test.cc
index 3b90515d55f..aaf314782f4 100644
--- a/src/codec/codec_bench_test.cc
+++ b/src/codec/codec_bench_test.cc
@@ -41,8 +41,10 @@ void RunHasTs(::openmldb::storage::DataBlock* db) {
         datas.emplace_back(1000, std::move(::openmldb::base::Slice(db->data, db->size)));
         total_block_size += db->size;
     }
-    std::string pairs;
-    ::openmldb::codec::EncodeRows(datas, total_block_size, &pairs);
+    butil::IOBuf buf;
+    for (const auto& pair : datas) {
+        Encode(pair.first, pair.second.data(), pair.second.size(), &buf);
+    }
 }
 
 void RunNoneTs(::openmldb::storage::DataBlock* db) {
@@ -53,8 +55,10 @@ void RunNoneTs(::openmldb::storage::DataBlock* db) {
         datas.push_back(::openmldb::base::Slice(db->data, db->size));
         total_block_size += db->size;
     }
-    std::string pairs;
-    ::openmldb::codec::EncodeRows(datas, total_block_size, &pairs);
+    butil::IOBuf buf;
+    for (const auto& v : datas) {
+        Encode(0, v.data(), v.size(), &buf);
+    }
 }
 
 TEST_F(CodecBenchmarkTest, ProjectTest) {
diff --git a/src/codec/codec_test.cc b/src/codec/codec_test.cc
index 68a9c2d7552..6c6ae99f804 100644
--- a/src/codec/codec_test.cc
+++ b/src/codec/codec_test.cc
@@ -34,31 +34,21 @@ class CodecTest : public ::testing::Test {
     ~CodecTest() {}
 };
 
-TEST_F(CodecTest, EncodeRows_empty) {
-    boost::container::deque<std::pair<uint64_t, ::openmldb::base::Slice>> data;
-    std::string pairs;
-    int32_t size = ::openmldb::codec::EncodeRows(data, 0, &pairs);
-    ASSERT_EQ(size, 0);
-}
-
-TEST_F(CodecTest, EncodeRows_invalid) {
-    boost::container::deque<std::pair<uint64_t, ::openmldb::base::Slice>> data;
-    int32_t size = ::openmldb::codec::EncodeRows(data, 0, NULL);
-    ASSERT_EQ(size, -1);
-}
-
 TEST_F(CodecTest, EncodeRows) {
     boost::container::deque<std::pair<uint64_t, ::openmldb::base::Slice>> data;
     std::string test1 = "value1";
     std::string test2 = "value2";
     std::string empty;
-    uint32_t total_block_size = test1.length() + test2.length() + empty.length();
     data.emplace_back(1, std::move(::openmldb::base::Slice(test1.c_str(), test1.length())));
     data.emplace_back(2, std::move(::openmldb::base::Slice(test2.c_str(), test2.length())));
     data.emplace_back(3, std::move(::openmldb::base::Slice(empty.c_str(), empty.length())));
+    butil::IOBuf buf;
+    for (const auto& pair : data) {
+        Encode(pair.first, pair.second.data(), pair.second.size(), &buf);
+    }
     std::string pairs;
-    int32_t size = ::openmldb::codec::EncodeRows(data, total_block_size, &pairs);
-    ASSERT_EQ(size, 3 * 12 + 6 + 6);
+    buf.copy_to(&pairs);
+    ASSERT_EQ(pairs.size(), 3 * 12 + 6 + 6);
     std::vector<std::pair<uint64_t, std::string*>> new_data;
     ::openmldb::codec::Decode(&pairs, new_data);
     ASSERT_EQ(data.size(), new_data.size());
diff --git a/src/codec/row_codec.cc b/src/codec/row_codec.cc
index 64641d4f14c..f59e45b9d1e 100644
--- a/src/codec/row_codec.cc
+++ b/src/codec/row_codec.cc
@@ -243,6 +243,15 @@ void Encode(uint64_t time, const char* data, const size_t size, char* buffer, ui
     memcpy(buffer, static_cast<const void*>(data), size);
 }
 
+void Encode(uint64_t time, const char* data, const size_t size, butil::IOBuf* buf) {
+    uint32_t total_size = 8 + size;
+    memrev32ifbe(&total_size);
+    buf->append(&total_size, 4);
+    memrev64ifbe(&time);
+    buf->append(&time, 8);
+    buf->append(data, size);
+}
+
 void Encode(uint64_t time, const DataBlock* data, char* buffer, uint32_t offset) {
     return Encode(time, data->data, data->size, buffer, offset);
 }
@@ -259,70 +268,18 @@ void Encode(const DataBlock* data, char* buffer, uint32_t offset) {
     return Encode(data->data, data->size, buffer, offset);
 }
 
-int32_t EncodeRows(const std::vector<::openmldb::base::Slice>& rows, uint32_t total_block_size,
-                                 std::string* body) {
-    if (body == NULL) {
-        PDLOG(WARNING, "invalid output body");
-        return -1;
-    }
-
-    uint32_t total_size = rows.size() * 4 + total_block_size;
-    if (rows.size() > 0) {
-        body->resize(total_size);
-    }
-    uint32_t offset = 0;
-    char* rbuffer = reinterpret_cast<char*>(&((*body)[0]));
-    for (auto lit = rows.begin(); lit != rows.end(); ++lit) {
-        ::openmldb::codec::Encode(lit->data(), lit->size(), rbuffer, offset);
-        offset += (4 + lit->size());
-    }
-    return total_size;
-}
-
-int32_t EncodeRows(const boost::container::deque<std::pair<uint64_t, ::openmldb::base::Slice>>& rows,
-                                 uint32_t total_block_size, std::string* pairs) {
-    if (pairs == NULL) {
-        PDLOG(WARNING, "invalid output pairs");
-        return -1;
-    }
-
-    uint32_t total_size = rows.size() * (8 + 4) + total_block_size;
-    if (rows.size() > 0) {
-        pairs->resize(total_size);
-    }
-
-    char* rbuffer = reinterpret_cast<char*>(&((*pairs)[0]));
-    uint32_t offset = 0;
-    for (auto lit = rows.begin(); lit != rows.end(); ++lit) {
-        ::openmldb::codec::Encode(lit->first, lit->second.data(), lit->second.size(), rbuffer, offset);
-        offset += (4 + 8 + lit->second.size());
-    }
-    return total_size;
-}
-
-void EncodeFull(const std::string& pk, uint64_t time, const char* data, const size_t size, char* buffer,
-                              uint32_t offset) {
-    buffer += offset;
+void EncodeFull(const std::string& pk, uint64_t time, const char* data, const size_t size, butil::IOBuf* buf) {
     uint32_t pk_size = pk.length();
     uint32_t total_size = 8 + pk_size + size;
     DEBUGLOG("encode total size %u pk size %u", total_size, pk_size);
-    memcpy(buffer, static_cast<const void*>(&total_size), 4);
-    memrev32ifbe(buffer);
-    buffer += 4;
-    memcpy(buffer, static_cast<const void*>(&pk_size), 4);
-    memrev32ifbe(buffer);
-    buffer += 4;
-    memcpy(buffer, static_cast<const void*>(&time), 8);
-    memrev64ifbe(buffer);
-    buffer += 8;
-    memcpy(buffer, static_cast<const void*>(pk.c_str()), pk_size);
-    buffer += pk_size;
-    memcpy(buffer, static_cast<const void*>(data), size);
-}
-
-void EncodeFull(const std::string& pk, uint64_t time, const DataBlock* data, char* buffer,
-                              uint32_t offset) {
-    return EncodeFull(pk, time, data->data, data->size, buffer, offset);
+    memrev32ifbe(&total_size);
+    buf->append(&total_size, 4);
+    memrev32ifbe(&pk_size);
+    buf->append(&pk_size, 4);
+    memrev64ifbe(&time);
+    buf->append(&time, 8);
+    buf->append(pk);
+    buf->append(data, size);
 }
 
 void Decode(const std::string* str, std::vector<std::pair<uint64_t, std::string*>>& pairs) {  // NOLINT
diff --git a/src/codec/row_codec.h b/src/codec/row_codec.h
index 5f4f01b9690..f2ac1f69ea7 100644
--- a/src/codec/row_codec.h
+++ b/src/codec/row_codec.h
@@ -24,6 +24,7 @@
 
 #include "base/status.h"
 #include "boost/container/deque.hpp"
+#include "butil/iobuf.h"
 #include "codec/codec.h"
 #include "storage/segment.h"
 
@@ -70,23 +71,15 @@ bool DecodeRows(const std::string& data, uint32_t count, const Schema& schema,
 
 void Encode(uint64_t time, const char* data, const size_t size, char* buffer, uint32_t offset);
 
+void Encode(uint64_t time, const char* data, const size_t size, butil::IOBuf* buf);
+
 void Encode(uint64_t time, const DataBlock* data, char* buffer, uint32_t offset);
 
 void Encode(const char* data, const size_t size, char* buffer, uint32_t offset);
 
 void Encode(const DataBlock* data, char* buffer, uint32_t offset);
 
-int32_t EncodeRows(const std::vector<::openmldb::base::Slice>& rows, uint32_t total_block_size,
-                                 std::string* body);
-
-int32_t EncodeRows(const boost::container::deque<std::pair<uint64_t, ::openmldb::base::Slice>>& rows,
-                                 uint32_t total_block_size, std::string* pairs);
-// encode pk, ts and value
-void EncodeFull(const std::string& pk, uint64_t time, const char* data, const size_t size, char* buffer,
-                              uint32_t offset);
-
-void EncodeFull(const std::string& pk, uint64_t time, const DataBlock* data, char* buffer,
-                              uint32_t offset);
+void EncodeFull(const std::string& pk, uint64_t time, const char* data, const size_t size, butil::IOBuf* buf);
 
 void Decode(const std::string* str, std::vector<std::pair<uint64_t, std::string*>>& pairs);  // NOLINT
 
diff --git a/src/sdk/node_adapter.cc b/src/sdk/node_adapter.cc
index b148c8a4ca9..ef9de07a774 100644
--- a/src/sdk/node_adapter.cc
+++ b/src/sdk/node_adapter.cc
@@ -225,6 +225,7 @@ bool NodeAdapter::TransformToTableDef(::hybridse::node::CreatePlanNode* create_n
     hybridse::node::NodePointVector distribution_list;
 
     hybridse::node::StorageMode storage_mode = hybridse::node::kMemory;
+    hybridse::node::CompressType compress_type = hybridse::node::kNoCompress;
     // different default value for cluster and standalone mode
     int replica_num = 1;
     int partition_num = 1;
@@ -253,6 +254,10 @@ bool NodeAdapter::TransformToTableDef(::hybridse::node::CreatePlanNode* create_n
                     storage_mode = dynamic_cast<hybridse::node::StorageModeNode *>(table_option)->GetStorageMode();
                     break;
                 }
+                case hybridse::node::kCompressType: {
+                    compress_type = dynamic_cast<hybridse::node::CompressTypeNode *>(table_option)->GetCompressType();
+                    break;
+                }
                 case hybridse::node::kDistributions: {
                     distribution_list =
                         dynamic_cast<hybridse::node::DistributionsNode*>(table_option)->GetDistributionList();
@@ -293,6 +298,7 @@ bool NodeAdapter::TransformToTableDef(::hybridse::node::CreatePlanNode* create_n
     table->set_replica_num(replica_num);
     table->set_partition_num(partition_num);
     table->set_storage_mode(static_cast<common::StorageMode>(storage_mode));
+    table->set_compress_type(static_cast<type::CompressType>(compress_type));
     bool has_generate_index = false;
     std::set<std::string> index_names;
     std::map<std::string, ::openmldb::common::ColumnDesc*> column_names;
diff --git a/src/sdk/sdk_util.cc b/src/sdk/sdk_util.cc
index f6027f7c08b..1df87969040 100644
--- a/src/sdk/sdk_util.cc
+++ b/src/sdk/sdk_util.cc
@@ -88,6 +88,11 @@ std::string SDKUtil::GenCreateTableSQL(const ::openmldb::nameserver::TableInfo&
     } else {
         ss << ", STORAGE_MODE='Memory'";
     }
+    if (table_info.compress_type() == type::CompressType::kSnappy) {
+        ss << ", COMPRESS_TYPE='Snappy'";
+    } else {
+        ss << ", COMPRESS_TYPE='NoCompress'";
+    }
     ss << ");";
     return ss.str();
 }
diff --git a/src/sdk/sql_cluster_router.cc b/src/sdk/sql_cluster_router.cc
index ccb7cc3cd4a..25b51991da6 100644
--- a/src/sdk/sql_cluster_router.cc
+++ b/src/sdk/sql_cluster_router.cc
@@ -1746,9 +1746,11 @@ std::shared_ptr<hybridse::sdk::ResultSet> SQLClusterRouter::HandleSQLCmd(const h
             }
             ss.str("");
             std::unordered_map<std::string, std::string> options;
-            options["storage_mode"] = StorageMode_Name(table->storage_mode());
+            std::string storage_mode = StorageMode_Name(table->storage_mode());
             // remove the prefix 'k', i.e., change kMemory to Memory
-            options["storage_mode"] = options["storage_mode"].substr(1, options["storage_mode"].size() - 1);
+            options["storage_mode"] = storage_mode.substr(1, storage_mode.size() - 1);
+            std::string compress_type = CompressType_Name(table->compress_type());
+            options["compress_type"] = compress_type.substr(1, compress_type.size() -1);
             ::openmldb::cmd::PrintTableOptions(options, ss);
             result.emplace_back(std::vector{ss.str()});
             return ResultSetSQL::MakeResultSet({FORMAT_STRING_KEY}, result, status);
diff --git a/src/sdk/sql_cluster_test.cc b/src/sdk/sql_cluster_test.cc
index 8ad9dd2e128..9374841d71e 100644
--- a/src/sdk/sql_cluster_test.cc
+++ b/src/sdk/sql_cluster_test.cc
@@ -265,7 +265,7 @@ TEST_F(SQLClusterDDLTest, ShowCreateTable) {
         "`col2` int,\n"
         "`col3` bigInt NOT NULL,\n"
         "INDEX (KEY=`col1`, TTL_TYPE=ABSOLUTE, TTL=100m)\n"
-        ") OPTIONS (PARTITIONNUM=1, REPLICANUM=1, STORAGE_MODE='Memory');";
+        ") OPTIONS (PARTITIONNUM=1, REPLICANUM=1, STORAGE_MODE='Memory', COMPRESS_TYPE='NoCompress');";
     ASSERT_TRUE(router->ExecuteDDL(db, ddl, &status)) << "ddl: " << ddl;
     ASSERT_TRUE(router->RefreshCatalog());
     auto rs = router->ExecuteSQL(db, "show create table t1;", &status);
diff --git a/src/storage/disk_table.cc b/src/storage/disk_table.cc
index ca3abbf90e0..8484eee1315 100644
--- a/src/storage/disk_table.cc
+++ b/src/storage/disk_table.cc
@@ -543,10 +543,10 @@ TableIterator* DiskTable::NewIterator(uint32_t idx, const std::string& pk, Ticke
     if (inner_index && inner_index->GetIndex().size() > 1) {
         auto ts_col = index_def->GetTsColumn();
         if (ts_col) {
-            return new DiskTableIterator(db_, it, snapshot, pk, ts_col->GetId());
+            return new DiskTableIterator(db_, it, snapshot, pk, ts_col->GetId(), GetCompressType());
         }
     }
-    return new DiskTableIterator(db_, it, snapshot, pk);
+    return new DiskTableIterator(db_, it, snapshot, pk, GetCompressType());
 }
 
 TraverseIterator* DiskTable::NewTraverseIterator(uint32_t index) {
@@ -569,10 +569,10 @@ TraverseIterator* DiskTable::NewTraverseIterator(uint32_t index) {
         auto ts_col = index_def->GetTsColumn();
         if (ts_col) {
             return new DiskTableTraverseIterator(db_, it, snapshot, ttl->ttl_type, expire_time, expire_cnt,
-                                                 ts_col->GetId());
+                                                 ts_col->GetId(), GetCompressType());
         }
     }
-    return new DiskTableTraverseIterator(db_, it, snapshot, ttl->ttl_type, expire_time, expire_cnt);
+    return new DiskTableTraverseIterator(db_, it, snapshot, ttl->ttl_type, expire_time, expire_cnt, GetCompressType());
 }
 
 ::hybridse::vm::WindowIterator* DiskTable::NewWindowIterator(uint32_t idx) {
@@ -595,10 +595,11 @@ ::hybridse::vm::WindowIterator* DiskTable::NewWindowIterator(uint32_t idx) {
         auto ts_col = index_def->GetTsColumn();
         if (ts_col) {
             return new DiskTableKeyIterator(db_, it, snapshot, ttl->ttl_type, expire_time, expire_cnt,
-                                                 ts_col->GetId(), cf_hs_[inner_pos + 1]);
+                    ts_col->GetId(), cf_hs_[inner_pos + 1], GetCompressType());
         }
     }
-    return new DiskTableKeyIterator(db_, it, snapshot, ttl->ttl_type, expire_time, expire_cnt, cf_hs_[inner_pos + 1]);
+    return new DiskTableKeyIterator(db_, it, snapshot, ttl->ttl_type, expire_time, expire_cnt,
+            cf_hs_[inner_pos + 1], GetCompressType());
 }
 
 bool DiskTable::DeleteIndex(const std::string& idx_name) {
diff --git a/src/storage/disk_table_iterator.cc b/src/storage/disk_table_iterator.cc
index 7b78bec4f3e..d934715e880 100644
--- a/src/storage/disk_table_iterator.cc
+++ b/src/storage/disk_table_iterator.cc
@@ -15,7 +15,7 @@
  */
 
 #include "storage/disk_table_iterator.h"
-
+#include <snappy.h>
 #include <string>
 #include "gflags/gflags.h"
 #include "storage/key_transform.h"
@@ -26,12 +26,12 @@ namespace openmldb {
 namespace storage {
 
 DiskTableIterator::DiskTableIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
-                                     const std::string& pk)
-    : db_(db), it_(it), snapshot_(snapshot), pk_(pk), ts_(0) {}
+        const std::string& pk, type::CompressType compress_type)
+    : db_(db), it_(it), snapshot_(snapshot), pk_(pk), ts_(0), compress_type_(compress_type) {}
 
 DiskTableIterator::DiskTableIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
-                                     const std::string& pk, uint32_t ts_idx)
-    : db_(db), it_(it), snapshot_(snapshot), pk_(pk), ts_(0), ts_idx_(ts_idx) {
+        const std::string& pk, uint32_t ts_idx, type::CompressType compress_type)
+    : db_(db), it_(it), snapshot_(snapshot), pk_(pk), ts_(0), ts_idx_(ts_idx), compress_type_(compress_type) {
     has_ts_idx_ = true;
 }
 
@@ -55,7 +55,13 @@ void DiskTableIterator::Next() { return it_->Next(); }
 
 openmldb::base::Slice DiskTableIterator::GetValue() const {
     rocksdb::Slice value = it_->value();
-    return openmldb::base::Slice(value.data(), value.size());
+    if (compress_type_ == type::CompressType::kSnappy) {
+        tmp_buf_.clear();
+        snappy::Uncompress(value.data(), value.size(), &tmp_buf_);
+        return openmldb::base::Slice(tmp_buf_);
+    } else {
+        return openmldb::base::Slice(value.data(), value.size());
+    }
 }
 
 std::string DiskTableIterator::GetPK() const { return pk_; }
@@ -85,7 +91,8 @@ void DiskTableIterator::Seek(const uint64_t ts) {
 DiskTableTraverseIterator::DiskTableTraverseIterator(rocksdb::DB* db, rocksdb::Iterator* it,
                                                      const rocksdb::Snapshot* snapshot,
                                                      ::openmldb::storage::TTLType ttl_type, const uint64_t& expire_time,
-                                                     const uint64_t& expire_cnt)
+                                                     const uint64_t& expire_cnt,
+                                                     type::CompressType compress_type)
     : db_(db),
       it_(it),
       snapshot_(snapshot),
@@ -93,12 +100,14 @@ DiskTableTraverseIterator::DiskTableTraverseIterator(rocksdb::DB* db, rocksdb::I
       expire_value_(expire_time, expire_cnt, ttl_type),
       has_ts_idx_(false),
       ts_idx_(0),
-      traverse_cnt_(0) {}
+      traverse_cnt_(0),
+      compress_type_(compress_type) {}
 
 DiskTableTraverseIterator::DiskTableTraverseIterator(rocksdb::DB* db, rocksdb::Iterator* it,
                                                      const rocksdb::Snapshot* snapshot,
                                                      ::openmldb::storage::TTLType ttl_type, const uint64_t& expire_time,
-                                                     const uint64_t& expire_cnt, int32_t ts_idx)
+                                                     const uint64_t& expire_cnt, int32_t ts_idx,
+                                                     type::CompressType compress_type)
     : db_(db),
       it_(it),
       snapshot_(snapshot),
@@ -106,7 +115,8 @@ DiskTableTraverseIterator::DiskTableTraverseIterator(rocksdb::DB* db, rocksdb::I
       expire_value_(expire_time, expire_cnt, ttl_type),
       has_ts_idx_(true),
       ts_idx_(ts_idx),
-      traverse_cnt_(0) {}
+      traverse_cnt_(0),
+      compress_type_(compress_type) {}
 
 DiskTableTraverseIterator::~DiskTableTraverseIterator() {
     delete it_;
@@ -154,6 +164,11 @@ void DiskTableTraverseIterator::Next() {
 
 openmldb::base::Slice DiskTableTraverseIterator::GetValue() const {
     rocksdb::Slice value = it_->value();
+    if (compress_type_ == type::CompressType::kSnappy) {
+        tmp_buf_.clear();
+        snappy::Uncompress(value.data(), value.size(), &tmp_buf_);
+        return openmldb::base::Slice(tmp_buf_);
+    }
     return openmldb::base::Slice(value.data(), value.size());
 }
 
@@ -297,7 +312,8 @@ void DiskTableTraverseIterator::NextPK() {
 DiskTableKeyIterator::DiskTableKeyIterator(rocksdb::DB* db, rocksdb::Iterator* it,
                                            const rocksdb::Snapshot* snapshot, ::openmldb::storage::TTLType ttl_type,
                                            const uint64_t& expire_time, const uint64_t& expire_cnt,
-                                           rocksdb::ColumnFamilyHandle* column_handle)
+                                           rocksdb::ColumnFamilyHandle* column_handle,
+                                           type::CompressType compress_type)
     : db_(db),
       it_(it),
       snapshot_(snapshot),
@@ -306,12 +322,14 @@ DiskTableKeyIterator::DiskTableKeyIterator(rocksdb::DB* db, rocksdb::Iterator* i
       expire_cnt_(expire_cnt),
       has_ts_idx_(false),
       ts_idx_(0),
-      column_handle_(column_handle) {}
+      column_handle_(column_handle),
+      compress_type_(compress_type) {}
 
 DiskTableKeyIterator::DiskTableKeyIterator(rocksdb::DB* db, rocksdb::Iterator* it,
                                            const rocksdb::Snapshot* snapshot, ::openmldb::storage::TTLType ttl_type,
                                            const uint64_t& expire_time, const uint64_t& expire_cnt, int32_t ts_idx,
-                                           rocksdb::ColumnFamilyHandle* column_handle)
+                                           rocksdb::ColumnFamilyHandle* column_handle,
+                                           type::CompressType compress_type)
     : db_(db),
       it_(it),
       snapshot_(snapshot),
@@ -320,7 +338,8 @@ DiskTableKeyIterator::DiskTableKeyIterator(rocksdb::DB* db, rocksdb::Iterator* i
       expire_cnt_(expire_cnt),
       has_ts_idx_(true),
       ts_idx_(ts_idx),
-      column_handle_(column_handle) {}
+      column_handle_(column_handle),
+      compress_type_(compress_type) {}
 
 DiskTableKeyIterator::~DiskTableKeyIterator() {
     delete it_;
@@ -398,7 +417,7 @@ std::unique_ptr<::hybridse::vm::RowIterator> DiskTableKeyIterator::GetValue() {
     ro.pin_data = true;
     rocksdb::Iterator* it = db_->NewIterator(ro, column_handle_);
     return std::make_unique<DiskTableRowIterator>(db_, it, snapshot, ttl_type_, expire_time_,
-                                                  expire_cnt_, pk_, ts_, has_ts_idx_, ts_idx_);
+            expire_cnt_, pk_, ts_, has_ts_idx_, ts_idx_, compress_type_);
 }
 
 ::hybridse::vm::RowIterator* DiskTableKeyIterator::GetRawValue() {
@@ -408,14 +427,14 @@ ::hybridse::vm::RowIterator* DiskTableKeyIterator::GetRawValue() {
     // ro.prefix_same_as_start = true;
     ro.pin_data = true;
     rocksdb::Iterator* it = db_->NewIterator(ro, column_handle_);
-    return new DiskTableRowIterator(db_, it, snapshot, ttl_type_, expire_time_, expire_cnt_, pk_, ts_, has_ts_idx_,
-                                    ts_idx_);
+    return new DiskTableRowIterator(db_, it, snapshot, ttl_type_, expire_time_,
+            expire_cnt_, pk_, ts_, has_ts_idx_, ts_idx_, compress_type_);
 }
 
 DiskTableRowIterator::DiskTableRowIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
                                            ::openmldb::storage::TTLType ttl_type, uint64_t expire_time,
                                            uint64_t expire_cnt, std::string pk, uint64_t ts, bool has_ts_idx,
-                                           uint32_t ts_idx)
+                                           uint32_t ts_idx, type::CompressType compress_type)
     : db_(db),
       it_(it),
       snapshot_(snapshot),
@@ -426,7 +445,8 @@ DiskTableRowIterator::DiskTableRowIterator(rocksdb::DB* db, rocksdb::Iterator* i
       ts_(ts),
       has_ts_idx_(has_ts_idx),
       ts_idx_(ts_idx),
-      row_() {}
+      row_(),
+      compress_type_(compress_type) {}
 
 DiskTableRowIterator::~DiskTableRowIterator() {
     delete it_;
@@ -470,9 +490,17 @@ const ::hybridse::codec::Row& DiskTableRowIterator::GetValue() {
     }
     valid_value_ = true;
     size_t size = it_->value().size();
-    int8_t* copyed_row_data = reinterpret_cast<int8_t*>(malloc(size));
-    memcpy(copyed_row_data, it_->value().data(), size);
-    row_.Reset(::hybridse::base::RefCountedSlice::CreateManaged(copyed_row_data, size));
+    if (compress_type_ == type::CompressType::kSnappy) {
+        tmp_buf_.clear();
+        snappy::Uncompress(it_->value().data(), size, &tmp_buf_);
+        int8_t* copyed_row_data = reinterpret_cast<int8_t*>(malloc(tmp_buf_.size()));
+        memcpy(copyed_row_data, tmp_buf_.data(), tmp_buf_.size());
+        row_.Reset(::hybridse::base::RefCountedSlice::CreateManaged(copyed_row_data, tmp_buf_.size()));
+    } else {
+        int8_t* copyed_row_data = reinterpret_cast<int8_t*>(malloc(size));
+        memcpy(copyed_row_data, it_->value().data(), size);
+        row_.Reset(::hybridse::base::RefCountedSlice::CreateManaged(copyed_row_data, size));
+    }
     return row_;
 }
 
diff --git a/src/storage/disk_table_iterator.h b/src/storage/disk_table_iterator.h
index 88f7225c5a9..df9b98fca9c 100644
--- a/src/storage/disk_table_iterator.h
+++ b/src/storage/disk_table_iterator.h
@@ -29,9 +29,10 @@ namespace storage {
 
 class DiskTableIterator : public TableIterator {
  public:
-    DiskTableIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot, const std::string& pk);
-    DiskTableIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot, const std::string& pk,
-                      uint32_t ts_idx);
+    DiskTableIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
+            const std::string& pk, type::CompressType compress_type);
+    DiskTableIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
+            const std::string& pk, uint32_t ts_idx, type::CompressType compress_type);
     virtual ~DiskTableIterator();
     bool Valid() override;
     void Next() override;
@@ -49,16 +50,18 @@ class DiskTableIterator : public TableIterator {
     uint64_t ts_;
     uint32_t ts_idx_;
     bool has_ts_idx_ = false;
+    type::CompressType compress_type_;
+    mutable std::string tmp_buf_;
 };
 
 class DiskTableTraverseIterator : public TraverseIterator {
  public:
     DiskTableTraverseIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
                               ::openmldb::storage::TTLType ttl_type, const uint64_t& expire_time,
-                              const uint64_t& expire_cnt);
+                              const uint64_t& expire_cnt, type::CompressType compress_type);
     DiskTableTraverseIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
                               ::openmldb::storage::TTLType ttl_type, const uint64_t& expire_time,
-                              const uint64_t& expire_cnt, int32_t ts_idx);
+                              const uint64_t& expire_cnt, int32_t ts_idx, type::CompressType compress_type);
     virtual ~DiskTableTraverseIterator();
     bool Valid() override;
     void Next() override;
@@ -84,13 +87,16 @@ class DiskTableTraverseIterator : public TraverseIterator {
     bool has_ts_idx_;
     uint32_t ts_idx_;
     uint64_t traverse_cnt_;
+    type::CompressType compress_type_;
+    mutable std::string tmp_buf_;
 };
 
 class DiskTableRowIterator : public ::hybridse::vm::RowIterator {
  public:
     DiskTableRowIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
                          ::openmldb::storage::TTLType ttl_type, uint64_t expire_time, uint64_t expire_cnt,
-                         std::string pk, uint64_t ts, bool has_ts_idx, uint32_t ts_idx);
+                         std::string pk, uint64_t ts, bool has_ts_idx, uint32_t ts_idx,
+                         type::CompressType compress_type);
 
     ~DiskTableRowIterator();
 
@@ -129,17 +135,21 @@ class DiskTableRowIterator : public ::hybridse::vm::RowIterator {
     ::hybridse::codec::Row row_;
     bool pk_valid_;
     bool valid_value_ = false;
+    type::CompressType compress_type_;
+    std::string tmp_buf_;
 };
 
 class DiskTableKeyIterator : public ::hybridse::vm::WindowIterator {
  public:
     DiskTableKeyIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
                          ::openmldb::storage::TTLType ttl_type, const uint64_t& expire_time, const uint64_t& expire_cnt,
-                         int32_t ts_idx, rocksdb::ColumnFamilyHandle* column_handle);
+                         int32_t ts_idx, rocksdb::ColumnFamilyHandle* column_handle,
+                         type::CompressType compress_type);
 
     DiskTableKeyIterator(rocksdb::DB* db, rocksdb::Iterator* it, const rocksdb::Snapshot* snapshot,
                          ::openmldb::storage::TTLType ttl_type, const uint64_t& expire_time, const uint64_t& expire_cnt,
-                         rocksdb::ColumnFamilyHandle* column_handle);
+                         rocksdb::ColumnFamilyHandle* column_handle,
+                         type::CompressType compress_type);
 
     ~DiskTableKeyIterator() override;
 
@@ -171,6 +181,7 @@ class DiskTableKeyIterator : public ::hybridse::vm::WindowIterator {
     uint64_t ts_;
     uint32_t ts_idx_;
     rocksdb::ColumnFamilyHandle* column_handle_;
+    type::CompressType compress_type_;
 };
 
 }  // namespace storage
diff --git a/src/storage/mem_table.cc b/src/storage/mem_table.cc
index 4d085120c06..a50e3c6dc82 100644
--- a/src/storage/mem_table.cc
+++ b/src/storage/mem_table.cc
@@ -423,6 +423,11 @@ bool MemTable::IsExpire(const LogEntry& entry) {
         }
     }
     const int8_t* data = reinterpret_cast<const int8_t*>(entry.value().data());
+    std::string uncompress_data;
+    if (GetCompressType() == openmldb::type::kSnappy) {
+        snappy::Uncompress(entry.value().data(), entry.value().size(), &uncompress_data);
+        data = reinterpret_cast<const int8_t*>(uncompress_data.data());
+    }
     uint8_t version = codec::RowView::GetSchemaVersion(data);
     auto decoder = GetVersionDecoder(version);
     if (decoder == nullptr) {
@@ -513,9 +518,9 @@ TableIterator* MemTable::NewIterator(uint32_t index, const std::string& pk, Tick
     Segment* segment = segments_[real_idx][seg_idx];
     auto ts_col = index_def->GetTsColumn();
     if (ts_col) {
-        return segment->NewIterator(spk, ts_col->GetId(), ticket);
+        return segment->NewIterator(spk, ts_col->GetId(), ticket, GetCompressType());
     }
-    return segment->NewIterator(spk, ticket);
+    return segment->NewIterator(spk, ticket, GetCompressType());
 }
 
 uint64_t MemTable::GetRecordIdxByteSize() {
@@ -739,7 +744,8 @@ ::hybridse::vm::WindowIterator* MemTable::NewWindowIterator(uint32_t index) {
     if (ts_col) {
         ts_idx = ts_col->GetId();
     }
-    return new MemTableKeyIterator(segments_[real_idx], seg_cnt_, ttl->ttl_type, expire_time, expire_cnt, ts_idx);
+    return new MemTableKeyIterator(segments_[real_idx], seg_cnt_, ttl->ttl_type,
+            expire_time, expire_cnt, ts_idx, GetCompressType());
 }
 
 TraverseIterator* MemTable::NewTraverseIterator(uint32_t index) {
@@ -758,10 +764,11 @@ TraverseIterator* MemTable::NewTraverseIterator(uint32_t index) {
     uint32_t real_idx = index_def->GetInnerPos();
     auto ts_col = index_def->GetTsColumn();
     if (ts_col) {
-        return new MemTableTraverseIterator(segments_[real_idx], seg_cnt_, ttl->ttl_type, expire_time, expire_cnt,
-                                            ts_col->GetId());
+        return new MemTableTraverseIterator(segments_[real_idx], seg_cnt_, ttl->ttl_type,
+                expire_time, expire_cnt, ts_col->GetId(), GetCompressType());
     }
-    return new MemTableTraverseIterator(segments_[real_idx], seg_cnt_, ttl->ttl_type, expire_time, expire_cnt, 0);
+    return new MemTableTraverseIterator(segments_[real_idx], seg_cnt_, ttl->ttl_type,
+            expire_time, expire_cnt, 0, GetCompressType());
 }
 
 bool MemTable::GetBulkLoadInfo(::openmldb::api::BulkLoadInfoResponse* response) {
diff --git a/src/storage/mem_table_iterator.cc b/src/storage/mem_table_iterator.cc
index 8b0f074427a..22cd7964640 100644
--- a/src/storage/mem_table_iterator.cc
+++ b/src/storage/mem_table_iterator.cc
@@ -15,7 +15,7 @@
  */
 
 #include "storage/mem_table_iterator.h"
-
+#include <snappy.h>
 #include <string>
 #include "base/hash.h"
 #include "gflags/gflags.h"
@@ -48,7 +48,13 @@ const uint64_t& MemTableWindowIterator::GetKey() const {
 }
 
 const ::hybridse::codec::Row& MemTableWindowIterator::GetValue() {
-    row_.Reset(reinterpret_cast<const int8_t*>(it_->GetValue()->data), it_->GetValue()->size);
+    if (compress_type_ == type::CompressType::kSnappy) {
+        tmp_buf_.clear();
+        snappy::Uncompress(it_->GetValue()->data, it_->GetValue()->size, &tmp_buf_);
+        row_.Reset(reinterpret_cast<const int8_t*>(tmp_buf_.data()), tmp_buf_.size());
+    } else {
+        row_.Reset(reinterpret_cast<const int8_t*>(it_->GetValue()->data), it_->GetValue()->size);
+    }
     return row_;
 }
 
@@ -69,7 +75,8 @@ void MemTableWindowIterator::SeekToFirst() {
 }
 
 MemTableKeyIterator::MemTableKeyIterator(Segment** segments, uint32_t seg_cnt, ::openmldb::storage::TTLType ttl_type,
-                                         uint64_t expire_time, uint64_t expire_cnt, uint32_t ts_index)
+        uint64_t expire_time, uint64_t expire_cnt, uint32_t ts_index,
+        type::CompressType compress_type)
     : segments_(segments),
       seg_cnt_(seg_cnt),
       seg_idx_(0),
@@ -79,7 +86,8 @@ MemTableKeyIterator::MemTableKeyIterator(Segment** segments, uint32_t seg_cnt, :
       expire_time_(expire_time),
       expire_cnt_(expire_cnt),
       ticket_(),
-      ts_idx_(0) {
+      ts_idx_(0),
+      compress_type_(compress_type) {
     uint32_t idx = 0;
     if (segments_[0]->GetTsIdx(ts_index, idx) == 0) {
         ts_idx_ = idx;
@@ -142,7 +150,7 @@ ::hybridse::vm::RowIterator* MemTableKeyIterator::GetRawValue() {
         ticket_.Push((KeyEntry*)pk_it_->GetValue());  // NOLINT
     }
     it->SeekToFirst();
-    return new MemTableWindowIterator(it, ttl_type_, expire_time_, expire_cnt_);
+    return new MemTableWindowIterator(it, ttl_type_, expire_time_, expire_cnt_, compress_type_);
 }
 
 std::unique_ptr<::hybridse::vm::RowIterator> MemTableKeyIterator::GetValue() {
@@ -177,8 +185,9 @@ void MemTableKeyIterator::NextPK() {
 }
 
 MemTableTraverseIterator::MemTableTraverseIterator(Segment** segments, uint32_t seg_cnt,
-                                                   ::openmldb::storage::TTLType ttl_type, uint64_t expire_time,
-                                                   uint64_t expire_cnt, uint32_t ts_index)
+        ::openmldb::storage::TTLType ttl_type, uint64_t expire_time,
+        uint64_t expire_cnt, uint32_t ts_index,
+        type::CompressType compress_type)
     : segments_(segments),
       seg_cnt_(seg_cnt),
       seg_idx_(0),
@@ -188,7 +197,8 @@ MemTableTraverseIterator::MemTableTraverseIterator(Segment** segments, uint32_t
       ts_idx_(0),
       expire_value_(expire_time, expire_cnt, ttl_type),
       ticket_(),
-      traverse_cnt_(0) {
+      traverse_cnt_(0),
+      compress_type_(compress_type) {
     uint32_t idx = 0;
     if (segments_[0]->GetTsIdx(ts_index, idx) == 0) {
         ts_idx_ = idx;
@@ -320,7 +330,13 @@ void MemTableTraverseIterator::Seek(const std::string& key, uint64_t ts) {
 }
 
 openmldb::base::Slice MemTableTraverseIterator::GetValue() const {
-    return openmldb::base::Slice(it_->GetValue()->data, it_->GetValue()->size);
+    if (compress_type_ == type::CompressType::kSnappy) {
+        tmp_buf_.clear();
+        snappy::Uncompress(it_->GetValue()->data, it_->GetValue()->size, &tmp_buf_);
+        return openmldb::base::Slice(tmp_buf_);
+    } else {
+        return openmldb::base::Slice(it_->GetValue()->data, it_->GetValue()->size);
+    }
 }
 
 uint64_t MemTableTraverseIterator::GetKey() const {
diff --git a/src/storage/mem_table_iterator.h b/src/storage/mem_table_iterator.h
index 967345fc2a9..5e5ba461181 100644
--- a/src/storage/mem_table_iterator.h
+++ b/src/storage/mem_table_iterator.h
@@ -27,8 +27,9 @@ namespace storage {
 class MemTableWindowIterator : public ::hybridse::vm::RowIterator {
  public:
     MemTableWindowIterator(TimeEntries::Iterator* it, ::openmldb::storage::TTLType ttl_type, uint64_t expire_time,
-                           uint64_t expire_cnt)
-        : it_(it), record_idx_(1), expire_value_(expire_time, expire_cnt, ttl_type), row_() {}
+            uint64_t expire_cnt, type::CompressType compress_type)
+        : it_(it), record_idx_(1), expire_value_(expire_time, expire_cnt, ttl_type),
+        row_(), compress_type_(compress_type) {}
 
     ~MemTableWindowIterator();
 
@@ -51,12 +52,15 @@ class MemTableWindowIterator : public ::hybridse::vm::RowIterator {
     uint32_t record_idx_;
     TTLSt expire_value_;
     ::hybridse::codec::Row row_;
+    type::CompressType compress_type_;
+    std::string tmp_buf_;
 };
 
 class MemTableKeyIterator : public ::hybridse::vm::WindowIterator {
  public:
     MemTableKeyIterator(Segment** segments, uint32_t seg_cnt, ::openmldb::storage::TTLType ttl_type,
-                        uint64_t expire_time, uint64_t expire_cnt, uint32_t ts_index);
+                        uint64_t expire_time, uint64_t expire_cnt, uint32_t ts_index,
+                        type::CompressType compress_type);
 
     ~MemTableKeyIterator() override;
 
@@ -87,12 +91,14 @@ class MemTableKeyIterator : public ::hybridse::vm::WindowIterator {
     uint64_t expire_cnt_;
     Ticket ticket_;
     uint32_t ts_idx_;
+    type::CompressType compress_type_;
 };
 
 class MemTableTraverseIterator : public TraverseIterator {
  public:
     MemTableTraverseIterator(Segment** segments, uint32_t seg_cnt, ::openmldb::storage::TTLType ttl_type,
-                             uint64_t expire_time, uint64_t expire_cnt, uint32_t ts_index);
+            uint64_t expire_time, uint64_t expire_cnt, uint32_t ts_index,
+            type::CompressType compress_type);
     ~MemTableTraverseIterator() override;
     inline bool Valid() override;
     void Next() override;
@@ -115,6 +121,8 @@ class MemTableTraverseIterator : public TraverseIterator {
     TTLSt expire_value_;
     Ticket ticket_;
     uint64_t traverse_cnt_;
+    type::CompressType compress_type_;
+    mutable std::string tmp_buf_;
 };
 
 }  // namespace storage
diff --git a/src/storage/segment.cc b/src/storage/segment.cc
index aec7f083b36..d79b6e85681 100644
--- a/src/storage/segment.cc
+++ b/src/storage/segment.cc
@@ -15,7 +15,7 @@
  */
 
 #include "storage/segment.h"
-
+#include <snappy.h>
 #include <memory>
 
 #include "base/glog_wrapper.h"
@@ -742,36 +742,38 @@ int Segment::GetCount(const Slice& key, uint32_t idx, uint64_t& count) {
     return 0;
 }
 
-MemTableIterator* Segment::NewIterator(const Slice& key, Ticket& ticket) {
+MemTableIterator* Segment::NewIterator(const Slice& key, Ticket& ticket, type::CompressType compress_type) {
     if (entries_ == nullptr || ts_cnt_ > 1) {
-        return new MemTableIterator(nullptr);
+        return new MemTableIterator(nullptr, compress_type);
     }
     void* entry = nullptr;
     if (entries_->Get(key, entry) < 0 || entry == nullptr) {
-        return new MemTableIterator(nullptr);
+        return new MemTableIterator(nullptr, compress_type);
     }
     ticket.Push(reinterpret_cast<KeyEntry*>(entry));
-    return new MemTableIterator(reinterpret_cast<KeyEntry*>(entry)->entries.NewIterator());
+    return new MemTableIterator(reinterpret_cast<KeyEntry*>(entry)->entries.NewIterator(), compress_type);
 }
 
-MemTableIterator* Segment::NewIterator(const Slice& key, uint32_t idx, Ticket& ticket) {
+MemTableIterator* Segment::NewIterator(const Slice& key, uint32_t idx,
+        Ticket& ticket, type::CompressType compress_type) {
     auto pos = ts_idx_map_.find(idx);
     if (pos == ts_idx_map_.end()) {
-        return new MemTableIterator(nullptr);
+        return new MemTableIterator(nullptr, compress_type);
     }
     if (ts_cnt_ == 1) {
-        return NewIterator(key, ticket);
+        return NewIterator(key, ticket, compress_type);
     }
     void* entry_arr = nullptr;
     if (entries_->Get(key, entry_arr) < 0 || entry_arr == nullptr) {
-        return new MemTableIterator(nullptr);
+        return new MemTableIterator(nullptr, compress_type);
     }
     auto entry = reinterpret_cast<KeyEntry**>(entry_arr)[pos->second];
     ticket.Push(entry);
-    return new MemTableIterator(entry->entries.NewIterator());
+    return new MemTableIterator(entry->entries.NewIterator(), compress_type);
 }
 
-MemTableIterator::MemTableIterator(TimeEntries::Iterator* it) : it_(it) {}
+MemTableIterator::MemTableIterator(TimeEntries::Iterator* it, type::CompressType compress_type)
+    : it_(it), compress_type_(compress_type) {}
 
 MemTableIterator::~MemTableIterator() {
     if (it_ != nullptr) {
@@ -797,6 +799,11 @@ void MemTableIterator::Next() {
 }
 
 ::openmldb::base::Slice MemTableIterator::GetValue() const {
+    if (compress_type_ == type::CompressType::kSnappy) {
+        tmp_buf_.clear();
+        snappy::Uncompress(it_->GetValue()->data, it_->GetValue()->size, &tmp_buf_);
+        return openmldb::base::Slice(tmp_buf_);
+    }
     return ::openmldb::base::Slice(it_->GetValue()->data, it_->GetValue()->size);
 }
 
diff --git a/src/storage/segment.h b/src/storage/segment.h
index 8e320400e39..fe58dd893a0 100644
--- a/src/storage/segment.h
+++ b/src/storage/segment.h
@@ -22,6 +22,7 @@
 #include <memory>
 #include <mutex>  // NOLINT
 #include <optional>
+#include <string>
 #include <vector>
 
 #include "base/skiplist.h"
@@ -40,7 +41,7 @@ using ::openmldb::base::Slice;
 
 class MemTableIterator : public TableIterator {
  public:
-    explicit MemTableIterator(TimeEntries::Iterator* it);
+    explicit MemTableIterator(TimeEntries::Iterator* it, type::CompressType compress_type);
     virtual ~MemTableIterator();
     void Seek(const uint64_t time) override;
     bool Valid() override;
@@ -52,6 +53,8 @@ class MemTableIterator : public TableIterator {
 
  private:
     TimeEntries::Iterator* it_;
+    type::CompressType compress_type_;
+    mutable std::string tmp_buf_;
 };
 
 struct SliceComparator {
@@ -93,9 +96,9 @@ class Segment {
     void Gc4TTLOrHead(const uint64_t time, const uint64_t keep_cnt, StatisticsInfo* statistics_info);
     void GcAllType(const std::map<uint32_t, TTLSt>& ttl_st_map, StatisticsInfo* statistics_info);
 
-    MemTableIterator* NewIterator(const Slice& key, Ticket& ticket);                   // NOLINT
+    MemTableIterator* NewIterator(const Slice& key, Ticket& ticket, type::CompressType compress_type);  // NOLINT
     MemTableIterator* NewIterator(const Slice& key, uint32_t idx,
-                                  Ticket& ticket);  // NOLINT
+                                  Ticket& ticket, type::CompressType compress_type);  // NOLINT
 
     uint64_t GetIdxCnt() const {
         return idx_cnt_vec_[0]->load(std::memory_order_relaxed);
diff --git a/src/storage/segment_test.cc b/src/storage/segment_test.cc
index 8b4728a9150..c51c0984473 100644
--- a/src/storage/segment_test.cc
+++ b/src/storage/segment_test.cc
@@ -61,7 +61,7 @@ TEST_F(SegmentTest, PutAndScan) {
     segment.Put(pk, 9529, value.c_str(), value.size());
     ASSERT_EQ(1, (int64_t)segment.GetPkCnt());
     Ticket ticket;
-    std::unique_ptr<MemTableIterator> it(segment.NewIterator("test1", ticket));
+    std::unique_ptr<MemTableIterator> it(segment.NewIterator("test1", ticket, type::CompressType::kNoCompress));
     it->Seek(9530);
     ASSERT_TRUE(it->Valid());
     ASSERT_EQ(9529, (int64_t)it->GetKey());
@@ -103,7 +103,7 @@ TEST_F(SegmentTest, Delete) {
     segment.Put(pk, 9529, value.c_str(), value.size());
     ASSERT_EQ(1, (int64_t)segment.GetPkCnt());
     Ticket ticket;
-    std::unique_ptr<MemTableIterator> it(segment.NewIterator("test1", ticket));
+    std::unique_ptr<MemTableIterator> it(segment.NewIterator("test1", ticket, type::CompressType::kNoCompress));
     int size = 0;
     it->SeekToFirst();
     while (it->Valid()) {
@@ -112,7 +112,7 @@ TEST_F(SegmentTest, Delete) {
     }
     ASSERT_EQ(4, size);
     ASSERT_TRUE(segment.Delete(std::nullopt, pk));
-    it.reset(segment.NewIterator("test1", ticket));
+    it.reset(segment.NewIterator("test1", ticket, type::CompressType::kNoCompress));
     ASSERT_FALSE(it->Valid());
     segment.IncrGcVersion();
     segment.IncrGcVersion();
@@ -178,7 +178,7 @@ TEST_F(SegmentTest, Iterator) {
     segment.Put(pk, 9769, "test2", 5);
     ASSERT_EQ(1, (int64_t)segment.GetPkCnt());
     Ticket ticket;
-    std::unique_ptr<MemTableIterator> it(segment.NewIterator("test1", ticket));
+    std::unique_ptr<MemTableIterator> it(segment.NewIterator("test1", ticket, type::CompressType::kNoCompress));
     it->SeekToFirst();
     int size = 0;
     while (it->Valid()) {
@@ -208,7 +208,7 @@ TEST_F(SegmentTest, TestGc4Head) {
     segment.Gc4Head(1, &gc_info);
     CheckStatisticsInfo(CreateStatisticsInfo(1, 0, GetRecordSize(5)), gc_info);
     Ticket ticket;
-    std::unique_ptr<MemTableIterator> it(segment.NewIterator(pk, ticket));
+    std::unique_ptr<MemTableIterator> it(segment.NewIterator(pk, ticket, type::CompressType::kNoCompress));
     it->Seek(9769);
     ASSERT_TRUE(it->Valid());
     ASSERT_EQ(9769, (int64_t)it->GetKey());
@@ -401,7 +401,7 @@ TEST_F(SegmentTest, TestDeleteRange) {
     ASSERT_EQ(100, GetCount(&segment, 0));
     std::string pk = "key2";
     Ticket ticket;
-    std::unique_ptr<MemTableIterator> it(segment.NewIterator(pk, ticket));
+    std::unique_ptr<MemTableIterator> it(segment.NewIterator(pk, ticket, type::CompressType::kNoCompress));
     it->Seek(1005);
     ASSERT_TRUE(it->Valid() && it->GetKey() == 1005);
     ASSERT_TRUE(segment.Delete(std::nullopt, pk, 1005, 1004));
diff --git a/src/tablet/tablet_impl.cc b/src/tablet/tablet_impl.cc
index a919c8ae52a..bc319c105d7 100644
--- a/src/tablet/tablet_impl.cc
+++ b/src/tablet/tablet_impl.cc
@@ -458,9 +458,6 @@ int32_t TabletImpl::GetIndex(const ::openmldb::api::GetRequest* request, const :
     bool enable_project = false;
     openmldb::codec::RowProject row_project(vers_schema, request->projection());
     if (request->projection().size() > 0) {
-        if (meta.compress_type() == ::openmldb::type::kSnappy) {
-            return -1;
-        }
         bool ok = row_project.Init();
         if (!ok) {
             PDLOG(WARNING, "invalid project list");
@@ -719,6 +716,22 @@ void TabletImpl::Put(RpcController* controller, const ::openmldb::api::PutReques
         response->set_msg("exceed max memory");
         return;
     }
+    ::openmldb::api::LogEntry entry;
+    entry.set_pk(request->pk());
+    entry.set_ts(request->time());
+    if (table->GetCompressType() == openmldb::type::CompressType::kSnappy) {
+        const auto& raw_val = request->value();
+        std::string* val = entry.mutable_value();
+        ::snappy::Compress(raw_val.c_str(), raw_val.length(), val);
+    } else {
+        entry.set_value(request->value());
+    }
+    if (request->dimensions_size() > 0) {
+        entry.mutable_dimensions()->CopyFrom(request->dimensions());
+    }
+    if (request->ts_dimensions_size() > 0) {
+        entry.mutable_ts_dimensions()->CopyFrom(request->ts_dimensions());
+    }
     bool ok = false;
     if (request->dimensions_size() > 0) {
         int32_t ret_code = CheckDimessionPut(request, table->GetIdxCnt());
@@ -728,7 +741,7 @@ void TabletImpl::Put(RpcController* controller, const ::openmldb::api::PutReques
             return;
         }
         DLOG(INFO) << "put data to tid " << tid << " pid " << pid << " with key " << request->dimensions(0).key();
-        ok = table->Put(request->time(), request->value(), request->dimensions());
+        ok = table->Put(entry.ts(), entry.value(), entry.dimensions());
     }
     if (!ok) {
         response->set_code(::openmldb::base::ReturnCode::kPutFailed);
@@ -738,23 +751,13 @@ void TabletImpl::Put(RpcController* controller, const ::openmldb::api::PutReques
 
     response->set_code(::openmldb::base::ReturnCode::kOk);
     std::shared_ptr<LogReplicator> replicator;
-    ::openmldb::api::LogEntry entry;
     do {
         replicator = GetReplicator(request->tid(), request->pid());
         if (!replicator) {
             PDLOG(WARNING, "fail to find table tid %u pid %u leader's log replicator", tid, pid);
             break;
         }
-        entry.set_pk(request->pk());
-        entry.set_ts(request->time());
-        entry.set_value(request->value());
         entry.set_term(replicator->GetLeaderTerm());
-        if (request->dimensions_size() > 0) {
-            entry.mutable_dimensions()->CopyFrom(request->dimensions());
-        }
-        if (request->ts_dimensions_size() > 0) {
-            entry.mutable_ts_dimensions()->CopyFrom(request->ts_dimensions());
-        }
 
         // Aggregator update assumes that binlog_offset is strictly increasing
         // so the update should be protected within the replicator lock
@@ -880,7 +883,7 @@ int TabletImpl::CheckTableMeta(const openmldb::api::TableMeta* table_meta, std::
 }
 
 int32_t TabletImpl::ScanIndex(const ::openmldb::api::ScanRequest* request, const ::openmldb::api::TableMeta& meta,
-                              const std::map<int32_t, std::shared_ptr<Schema>>& vers_schema,
+                              const std::map<int32_t, std::shared_ptr<Schema>>& vers_schema, bool use_attachment,
                               CombineIterator* combine_it, butil::IOBuf* io_buf, uint32_t* count, bool* is_finish) {
     uint32_t limit = request->limit();
     if (combine_it == nullptr || io_buf == nullptr || count == nullptr || is_finish == nullptr) {
@@ -904,12 +907,7 @@ int32_t TabletImpl::ScanIndex(const ::openmldb::api::ScanRequest* request, const
     bool enable_project = false;
     ::openmldb::codec::RowProject row_project(vers_schema, request->projection());
     if (request->projection().size() > 0) {
-        if (meta.compress_type() == ::openmldb::type::kSnappy) {
-            LOG(WARNING) << "project on compress row data do not eing supported";
-            return -1;
-        }
-        bool ok = row_project.Init();
-        if (!ok) {
+        if (!row_project.Init()) {
             PDLOG(WARNING, "invalid project list");
             return -1;
         }
@@ -950,11 +948,19 @@ int32_t TabletImpl::ScanIndex(const ::openmldb::api::ScanRequest* request, const
                 PDLOG(WARNING, "fail to make a projection");
                 return -4;
             }
-            io_buf->append(reinterpret_cast<void*>(ptr), size);
+            if (use_attachment) {
+                io_buf->append(reinterpret_cast<void*>(ptr), size);
+            } else {
+                ::openmldb::codec::Encode(ts, reinterpret_cast<char*>(ptr), size, io_buf);
+            }
             total_block_size += size;
         } else {
             openmldb::base::Slice data = combine_it->GetValue();
-            io_buf->append(reinterpret_cast<const void*>(data.data()), data.size());
+            if (use_attachment) {
+                io_buf->append(reinterpret_cast<const void*>(data.data()), data.size());
+            } else {
+                ::openmldb::codec::Encode(ts, data.data(), data.size(), io_buf);
+            }
             total_block_size += data.size();
         }
         record_count++;
@@ -967,98 +973,6 @@ int32_t TabletImpl::ScanIndex(const ::openmldb::api::ScanRequest* request, const
     *count = record_count;
     return 0;
 }
-int32_t TabletImpl::ScanIndex(const ::openmldb::api::ScanRequest* request, const ::openmldb::api::TableMeta& meta,
-                              const std::map<int32_t, std::shared_ptr<Schema>>& vers_schema,
-                              CombineIterator* combine_it, std::string* pairs, uint32_t* count, bool* is_finish) {
-    uint32_t limit = request->limit();
-    if (combine_it == nullptr || pairs == nullptr || count == nullptr || is_finish == nullptr) {
-        PDLOG(WARNING, "invalid args");
-        return -1;
-    }
-    uint64_t st = request->st();
-    uint64_t et = request->et();
-    uint64_t expire_time = combine_it->GetExpireTime();
-    ::openmldb::storage::TTLType ttl_type = combine_it->GetTTLType();
-    if (ttl_type == ::openmldb::storage::TTLType::kAbsoluteTime ||
-        ttl_type == ::openmldb::storage::TTLType::kAbsOrLat) {
-        et = std::max(et, expire_time);
-    }
-    if (st > 0 && st < et) {
-        PDLOG(WARNING, "invalid args for st %lu less than et %lu or expire time %lu", st, et, expire_time);
-        return -1;
-    }
-
-    bool enable_project = false;
-    ::openmldb::codec::RowProject row_project(vers_schema, request->projection());
-    if (!request->projection().empty()) {
-        if (meta.compress_type() == ::openmldb::type::kSnappy) {
-            LOG(WARNING) << "project on compress row data, not supported";
-            return -1;
-        }
-        bool ok = row_project.Init();
-        if (!ok) {
-            PDLOG(WARNING, "invalid project list");
-            return -1;
-        }
-        enable_project = true;
-    }
-    bool remove_duplicated_record = request->enable_remove_duplicated_record();
-    uint64_t last_time = 0;
-    boost::container::deque<std::pair<uint64_t, ::openmldb::base::Slice>> tmp;
-    uint32_t total_block_size = 0;
-    combine_it->SeekToFirst();
-    uint32_t skip_record_num = request->skip_record_num();
-    while (combine_it->Valid()) {
-        if (limit > 0 && tmp.size() >= limit) {
-            *is_finish = false;
-            break;
-        }
-        if (remove_duplicated_record && !tmp.empty() && last_time == combine_it->GetTs()) {
-            combine_it->Next();
-            continue;
-        }
-        if (combine_it->GetTs() == st && skip_record_num > 0) {
-            skip_record_num--;
-            combine_it->Next();
-            continue;
-        }
-        uint64_t ts = combine_it->GetTs();
-        if (ts <= et) {
-            break;
-        }
-        last_time = ts;
-        if (enable_project) {
-            int8_t* ptr = nullptr;
-            uint32_t size = 0;
-            openmldb::base::Slice data = combine_it->GetValue();
-            const auto* row_ptr = reinterpret_cast<const int8_t*>(data.data());
-            bool ok = row_project.Project(row_ptr, data.size(), &ptr, &size);
-            if (!ok) {
-                PDLOG(WARNING, "fail to make a projection");
-                return -4;
-            }
-            tmp.emplace_back(ts, Slice(reinterpret_cast<char*>(ptr), size, true));
-            total_block_size += size;
-        } else {
-            openmldb::base::Slice data = combine_it->GetValue();
-            total_block_size += data.size();
-            tmp.emplace_back(ts, data);
-        }
-        if (total_block_size > FLAGS_scan_max_bytes_size) {
-            LOG(WARNING) << "reach the max byte size " << FLAGS_scan_max_bytes_size << " cur is " << total_block_size;
-            *is_finish = false;
-            break;
-        }
-        combine_it->Next();
-    }
-    int32_t ok = ::openmldb::codec::EncodeRows(tmp, total_block_size, pairs);
-    if (ok == -1) {
-        PDLOG(WARNING, "fail to encode rows");
-        return -4;
-    }
-    *count = tmp.size();
-    return 0;
-}
 
 int32_t TabletImpl::CountIndex(uint64_t expire_time, uint64_t expire_cnt, ::openmldb::storage::TTLType ttl_type,
                                ::openmldb::storage::TableIterator* it, const ::openmldb::api::CountRequest* request,
@@ -1247,12 +1161,13 @@ void TabletImpl::Scan(RpcController* controller, const ::openmldb::api::ScanRequ
     int32_t code = 0;
     bool is_finish = true;
     if (!request->has_use_attachment() || !request->use_attachment()) {
-        std::string* pairs = response->mutable_pairs();
-        code = ScanIndex(request, *table_meta, vers_schema, &combine_it, pairs, &count, &is_finish);
+        butil::IOBuf buf;
+        code = ScanIndex(request, *table_meta, vers_schema, false, &combine_it, &buf, &count, &is_finish);
+        buf.copy_to(response->mutable_pairs());
     } else {
         auto* cntl = dynamic_cast<brpc::Controller*>(controller);
         butil::IOBuf& buf = cntl->response_attachment();
-        code = ScanIndex(request, *table_meta, vers_schema, &combine_it, &buf, &count, &is_finish);
+        code = ScanIndex(request, *table_meta, vers_schema, true, &combine_it, &buf, &count, &is_finish);
         response->set_buf_size(buf.size());
         DLOG(INFO) << " scan " << request->pk() << " with buf size " << buf.size();
     }
@@ -1435,14 +1350,12 @@ void TabletImpl::Traverse(RpcController* controller, const ::openmldb::api::Trav
         DEBUGLOG("tid %u, pid %u seek to first", tid, pid);
         it->SeekToFirst();
     }
-    std::map<std::string, std::vector<std::pair<uint64_t, openmldb::base::Slice>>> value_map;
-    std::vector<std::string> key_seq;
-    uint32_t total_block_size = 0;
     bool remove_duplicated_record = false;
     if (request->has_enable_remove_duplicated_record()) {
         remove_duplicated_record = request->enable_remove_duplicated_record();
     }
     uint32_t scount = 0;
+    butil::IOBuf buf;
     for (; it->Valid(); it->Next()) {
         if (request->limit() > 0 && scount > request->limit() - 1) {
             DEBUGLOG("reache the limit %u ", request->limit());
@@ -1464,16 +1377,9 @@ void TabletImpl::Traverse(RpcController* controller, const ::openmldb::api::Trav
                 continue;
             }
         }
-        auto map_it = value_map.find(last_pk);
-        if (map_it == value_map.end()) {
-            auto pair = value_map.emplace(last_pk, std::vector<std::pair<uint64_t, openmldb::base::Slice>>());
-            map_it = pair.first;
-            map_it->second.reserve(request->limit());
-            key_seq.emplace_back(map_it->first);
-        }
         openmldb::base::Slice value = it->GetValue();
-        map_it->second.emplace_back(it->GetKey(), value);
-        total_block_size += last_pk.length() + value.size();
+        DLOG(INFO) << "encode pk " << it->GetPK() << " ts " << it->GetKey() << " size " << value.size();
+        ::openmldb::codec::EncodeFull(it->GetPK(), it->GetKey(), value.data(), value.size(), &buf);
         scount++;
         if (FLAGS_max_traverse_cnt > 0 && it->GetCount() >= FLAGS_max_traverse_cnt) {
             DEBUGLOG("traverse cnt %lu max %lu, key %s ts %lu", it->GetCount(), FLAGS_max_traverse_cnt, last_pk.c_str(),
@@ -1493,26 +1399,7 @@ void TabletImpl::Traverse(RpcController* controller, const ::openmldb::api::Trav
     } else if (scount < request->limit()) {
         is_finish = true;
     }
-    uint32_t total_size = scount * (8 + 4 + 4) + total_block_size;
-    std::string* pairs = response->mutable_pairs();
-    if (scount <= 0) {
-        pairs->resize(0);
-    } else {
-        pairs->resize(total_size);
-    }
-    char* rbuffer = reinterpret_cast<char*>(&((*pairs)[0]));
-    uint32_t offset = 0;
-    for (const auto& key : key_seq) {
-        auto iter = value_map.find(key);
-        if (iter == value_map.end()) {
-            continue;
-        }
-        for (const auto& pair : iter->second) {
-            DLOG(INFO) << "encode pk " << key << " ts " << pair.first << " size " << pair.second.size();
-            ::openmldb::codec::EncodeFull(key, pair.first, pair.second.data(), pair.second.size(), rbuffer, offset);
-            offset += (4 + 4 + 8 + key.length() + pair.second.size());
-        }
-    }
+    buf.copy_to(response->mutable_pairs());
     delete it;
     DLOG(INFO) << "tid " << tid << " pid " << pid << " traverse count " << scount << " last_pk " << last_pk
                << " last_time " << last_time << " ts_pos " << ts_pos;
diff --git a/src/tablet/tablet_impl.h b/src/tablet/tablet_impl.h
index d48f192ae26..7207b3ab8bd 100644
--- a/src/tablet/tablet_impl.h
+++ b/src/tablet/tablet_impl.h
@@ -239,14 +239,9 @@ class TabletImpl : public ::openmldb::api::TabletServer {
                      const std::map<int32_t, std::shared_ptr<Schema>>& vers_schema, CombineIterator* combine_it,
                      std::string* value, uint64_t* ts);
 
-    // scan specified ttl type index
     int32_t ScanIndex(const ::openmldb::api::ScanRequest* request, const ::openmldb::api::TableMeta& meta,
-                      const std::map<int32_t, std::shared_ptr<Schema>>& vers_schema, CombineIterator* combine_it,
-                      std::string* pairs, uint32_t* count, bool* is_finish);
-
-    int32_t ScanIndex(const ::openmldb::api::ScanRequest* request, const ::openmldb::api::TableMeta& meta,
-                      const std::map<int32_t, std::shared_ptr<Schema>>& vers_schema, CombineIterator* combine_it,
-                      butil::IOBuf* buf, uint32_t* count, bool* is_finish);
+                      const std::map<int32_t, std::shared_ptr<Schema>>& vers_schema, bool use_attachment,
+                      CombineIterator* combine_it, butil::IOBuf* buf, uint32_t* count, bool* is_finish);
 
     int32_t CountIndex(uint64_t expire_time, uint64_t expire_cnt, ::openmldb::storage::TTLType ttl_type,
                        ::openmldb::storage::TableIterator* it, const ::openmldb::api::CountRequest* request,
diff --git a/src/tablet/tablet_impl_test.cc b/src/tablet/tablet_impl_test.cc
index d7bdc631611..0780e05af69 100644
--- a/src/tablet/tablet_impl_test.cc
+++ b/src/tablet/tablet_impl_test.cc
@@ -128,17 +128,12 @@ bool RollWLogFile(::openmldb::storage::WriteHandle** wh, ::openmldb::storage::Lo
     return true;
 }
 
-void PrepareLatestTableData(TabletImpl& tablet, int32_t tid, int32_t pid, bool compress = false) { // NOLINT
+void PrepareLatestTableData(TabletImpl& tablet, int32_t tid, int32_t pid) { // NOLINT
     for (int32_t i = 0; i < 100; i++) {
         ::openmldb::api::PutRequest prequest;
         ::openmldb::test::SetDimension(0, std::to_string(i % 10), prequest.add_dimensions());
         prequest.set_time(i + 1);
         std::string value = ::openmldb::test::EncodeKV(std::to_string(i % 10), std::to_string(i));
-        if (compress) {
-            std::string compressed;
-            ::snappy::Compress(value.c_str(), value.length(), &compressed);
-            value.swap(compressed);
-        }
         prequest.set_value(value);
         prequest.set_tid(tid);
         prequest.set_pid(pid);
@@ -153,11 +148,6 @@ void PrepareLatestTableData(TabletImpl& tablet, int32_t tid, int32_t pid, bool c
         ::openmldb::test::SetDimension(0, "10", prequest.add_dimensions());
         prequest.set_time(i % 10 + 1);
         std::string value = ::openmldb::test::EncodeKV("10", std::to_string(i));
-        if (compress) {
-            std::string compressed;
-            ::snappy::Compress(value.c_str(), value.length(), &compressed);
-            value.swap(compressed);
-        }
         prequest.set_value(value);
         prequest.set_tid(tid);
         prequest.set_pid(pid);
@@ -5331,7 +5321,7 @@ TEST_P(TabletImplTest, PutCompress) {
         MockClosure closure;
         tablet.CreateTable(NULL, &request, &response, &closure);
         ASSERT_EQ(0, response.code());
-        PrepareLatestTableData(tablet, id, 0, true);
+        PrepareLatestTableData(tablet, id, 0);
     }
 
     {

From 714369eb53a57305db066ea9144c4d59265834c4 Mon Sep 17 00:00:00 2001
From: aceforeverd <teapot@aceforeverd.com>
Date: Wed, 15 Nov 2023 11:28:38 +0800
Subject: [PATCH 25/27] ci: fix go-sdk (#3593)

---
 .github/workflows/sdk.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/workflows/sdk.yml b/.github/workflows/sdk.yml
index 8f4dc6bd628..dc4dd94a2b6 100644
--- a/.github/workflows/sdk.yml
+++ b/.github/workflows/sdk.yml
@@ -352,6 +352,7 @@ jobs:
       image: ghcr.io/4paradigm/hybridsql:latest
     env:
       OPENMLDB_BUILD_TARGET: "openmldb"
+      OPENMLDB_MODE: standalone
     steps:
       - uses: actions/checkout@v2
 

From 2fb650afec73bc3034e2a422ff98983b9d3901e1 Mon Sep 17 00:00:00 2001
From: dl239 <jeremydeng012@gmail.com>
Date: Wed, 15 Nov 2023 11:29:57 +0800
Subject: [PATCH 26/27] feat: add zk auth (#3581)

---
 docs/en/deploy/conf.md                        |  7 +++
 docs/zh/deploy/conf.md                        |  7 +++
 .../openmldb/common/zk/ZKClient.java          | 23 +++++++-
 .../openmldb/common/zk/ZKConfig.java          |  2 +
 .../_4paradigm/openmldb/sdk/SdkOption.java    |  2 +
 .../openmldb/synctool/SyncToolConfig.java     |  2 +
 .../openmldb/synctool/SyncToolImpl.java       |  2 +
 .../taskmanager/client/TaskManagerClient.java | 27 ++++++++-
 .../taskmanager/config/TaskManagerConfig.java |  4 ++
 .../server/impl/TaskManagerImpl.java          |  1 +
 python/openmldb_sdk/openmldb/sdk/sdk.py       |  2 +
 release/conf/apiserver.flags.template         |  1 +
 release/conf/nameserver.flags.template        |  1 +
 release/conf/tablet.flags.template            |  1 +
 src/cmd/openmldb.cc                           |  6 +-
 src/cmd/sql_cmd.h                             |  4 ++
 src/datacollector/data_collector.cc           |  5 +-
 src/flags.cc                                  |  2 +
 src/nameserver/cluster_info.cc                |  3 +-
 .../name_server_create_remote_test.cc         |  2 -
 src/nameserver/name_server_impl.cc            |  5 +-
 src/nameserver/name_server_test.cc            |  5 +-
 src/nameserver/new_server_env_test.cc         |  5 +-
 src/proto/name_server.proto                   |  2 +
 src/sdk/db_sdk.cc                             |  4 +-
 src/sdk/db_sdk.h                              |  5 +-
 src/sdk/sql_cluster_router.cc                 |  2 +
 src/sdk/sql_router.h                          |  2 +
 src/tablet/tablet_impl.cc                     |  5 +-
 src/tablet/tablet_impl_keep_alive_test.cc     |  2 +-
 src/zk/dist_lock_test.cc                      |  4 +-
 src/zk/zk_client.cc                           | 32 ++++++++---
 src/zk/zk_client.h                            |  9 ++-
 src/zk/zk_client_test.cc                      | 56 ++++++++++++++++---
 34 files changed, 206 insertions(+), 36 deletions(-)

diff --git a/docs/en/deploy/conf.md b/docs/en/deploy/conf.md
index 11667427247..138a414fa3d 100644
--- a/docs/en/deploy/conf.md
+++ b/docs/en/deploy/conf.md
@@ -9,6 +9,8 @@
 # If you are deploying the standalone version, you do not need to configure zk_cluster and zk_root_path, just comment these two configurations. Deploying the cluster version needs to configure these two items, and the two configurations of all nodes in a cluster must be consistent
 #--zk_cluster=127.0.0.1:7181
 #--zk_root_path=/openmldb_cluster
+# set the username and password of zookeeper if authentication is enabled
+#--zk_cert=user:passwd
 # The address of the tablet needs to be specified in the standalone version, and this configuration can be ignored in the cluster version
 --tablet=127.0.0.1:9921
 # Configure log directory
@@ -76,6 +78,8 @@
 # If you start the cluster version, you need to specify the address of zk and the node path of the cluster in zk
 #--zk_cluster=127.0.0.1:7181
 #--zk_root_path=/openmldb_cluster
+# set the username and password of zookeeper if authentication is enabled
+#--zk_cert=user:passwd
 
 # Configure the thread pool size, it is recommended to be consistent with the number of CPU cores
 --thread_pool_size=24
@@ -218,6 +222,8 @@
 # If the deployed openmldb is a cluster version, you need to specify the zk address and the cluster zk node directory
 #--zk_cluster=127.0.0.1:7181
 #--zk_root_path=/openmldb_cluster
+# set the username and password of zookeeper if authentication is enabled
+#--zk_cert=user:passwd
 
 # configure log path
 --openmldb_log_dir=./logs
@@ -249,6 +255,7 @@ zookeeper.connection_timeout=5000
 zookeeper.max_retries=10
 zookeeper.base_sleep_time=1000
 zookeeper.max_connect_waitTime=30000
+#zookeeper.cert=user:passwd
 
 # Spark Config
 spark.home=
diff --git a/docs/zh/deploy/conf.md b/docs/zh/deploy/conf.md
index ef05f0c8dc9..de538720e5d 100644
--- a/docs/zh/deploy/conf.md
+++ b/docs/zh/deploy/conf.md
@@ -9,6 +9,8 @@
 # 如果是部署单机版不需要配置zk_cluster和zk_root_path，把这俩配置注释即可. 部署集群版需要配置这两项，一个集群中所有节点的这两个配置必须保持一致
 #--zk_cluster=127.0.0.1:7181
 #--zk_root_path=/openmldb_cluster
+# 配置zk认证的用户名和密码, 用冒号分割
+#--zk_cert=user:passwd
 # 单机版需要指定tablet的地址, 集群版此配置可忽略
 --tablet=127.0.0.1:9921
 # 配置log目录
@@ -76,6 +78,8 @@
 # 如果启动集群版需要指定zk的地址和集群在zk的节点路径
 #--zk_cluster=127.0.0.1:7181
 #--zk_root_path=/openmldb_cluster
+# 配置zk认证的用户名和密码, 用冒号分割
+#--zk_cert=user:passwd
 
 # 配置线程池大小，建议和cpu核数一致
 --thread_pool_size=24
@@ -222,6 +226,8 @@
 # 如果部署的openmldb是集群版，需要指定zk地址和集群zk节点目录
 #--zk_cluster=127.0.0.1:7181
 #--zk_root_path=/openmldb_cluster
+# 配置zk认证的用户名和密码, 用冒号分割
+#--zk_cert=user:passwd
 
 # 配置日志路径
 --openmldb_log_dir=./logs
@@ -254,6 +260,7 @@ zookeeper.connection_timeout=5000
 zookeeper.max_retries=10
 zookeeper.base_sleep_time=1000
 zookeeper.max_connect_waitTime=30000
+#zookeeper.cert=user:passwd
 
 # Spark Config
 spark.home=
diff --git a/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/zk/ZKClient.java b/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/zk/ZKClient.java
index 256174c6573..85a1cf0422d 100644
--- a/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/zk/ZKClient.java
+++ b/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/zk/ZKClient.java
@@ -20,8 +20,11 @@
 import org.apache.curator.RetryPolicy;
 import org.apache.curator.framework.CuratorFramework;
 import org.apache.curator.framework.CuratorFrameworkFactory;
+import org.apache.curator.framework.api.ACLProvider;
 import org.apache.curator.retry.ExponentialBackoffRetry;
 import org.apache.zookeeper.CreateMode;
+import org.apache.zookeeper.ZooDefs;
+import org.apache.zookeeper.data.ACL;
 
 import java.util.concurrent.TimeUnit;
 import java.util.List;
@@ -46,12 +49,26 @@ public CuratorFramework getClient() {
     public boolean connect() throws InterruptedException {
         log.info("ZKClient connect with config: {}", config);
         RetryPolicy retryPolicy = new ExponentialBackoffRetry(config.getBaseSleepTime(), config.getMaxRetries());
-        CuratorFramework client = CuratorFrameworkFactory.builder()
+        CuratorFrameworkFactory.Builder builder = CuratorFrameworkFactory.builder()
                 .connectString(config.getCluster())
                 .sessionTimeoutMs(config.getSessionTimeout())
                 .connectionTimeoutMs(config.getConnectionTimeout())
-                .retryPolicy(retryPolicy)
-                .build();
+                .retryPolicy(retryPolicy);
+        if (!config.getCert().isEmpty()) {
+           builder.authorization("digest", config.getCert().getBytes())
+                .aclProvider(new ACLProvider() {
+                    @Override
+                    public List<ACL> getDefaultAcl() {
+                        return ZooDefs.Ids.CREATOR_ALL_ACL;
+                    }
+
+                    @Override
+                    public List<ACL> getAclForPath(String s) {
+                        return ZooDefs.Ids.CREATOR_ALL_ACL;
+                    }
+                });
+        }
+        CuratorFramework client = builder.build();
         client.start();
         if (!client.blockUntilConnected(config.getMaxConnectWaitTime(), TimeUnit.MILLISECONDS)) {
             return false;
diff --git a/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/zk/ZKConfig.java b/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/zk/ZKConfig.java
index e215533a483..f0721a2f256 100644
--- a/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/zk/ZKConfig.java
+++ b/java/openmldb-common/src/main/java/com/_4paradigm/openmldb/common/zk/ZKConfig.java
@@ -32,5 +32,7 @@ public class ZKConfig {
     private int baseSleepTime = 1000;
     @Builder.Default
     private int maxConnectWaitTime = 30000;
+    @Builder.Default
+    private String cert = "";
 
 }
diff --git a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/SdkOption.java b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/SdkOption.java
index 830f6d1f097..83dd73cf657 100644
--- a/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/SdkOption.java
+++ b/java/openmldb-jdbc/src/main/java/com/_4paradigm/openmldb/sdk/SdkOption.java
@@ -33,6 +33,7 @@ public class SdkOption {
     private String sparkConfPath = "";
     private int zkLogLevel = 3;
     private String zkLogFile = "";
+    private String zkCert = "";
 
     // options for standalone mode
     private String host = "";
@@ -70,6 +71,7 @@ public SQLRouterOptions buildSQLRouterOptions() throws SqlException {
         copt.setSpark_conf_path(getSparkConfPath());
         copt.setZk_log_level(getZkLogLevel());
         copt.setZk_log_file(getZkLogFile());
+        copt.setZk_cert(getZkCert());
 
         // base
         buildBaseOptions(copt);
diff --git a/java/openmldb-synctool/src/main/java/com/_4paradigm/openmldb/synctool/SyncToolConfig.java b/java/openmldb-synctool/src/main/java/com/_4paradigm/openmldb/synctool/SyncToolConfig.java
index 26680f85c17..4fdb22834db 100644
--- a/java/openmldb-synctool/src/main/java/com/_4paradigm/openmldb/synctool/SyncToolConfig.java
+++ b/java/openmldb-synctool/src/main/java/com/_4paradigm/openmldb/synctool/SyncToolConfig.java
@@ -37,6 +37,7 @@ public class SyncToolConfig {
     // public static int CHANNEL_KEEP_ALIVE_TIME;
     public static String ZK_CLUSTER;
     public static String ZK_ROOT_PATH;
+    public static String ZK_CERT;
     public static String SYNC_TASK_PROGRESS_PATH;
 
     public static String HADOOP_CONF_DIR;
@@ -86,6 +87,7 @@ private static void parseFromProperties(Properties prop) {
         if (ZK_ROOT_PATH.isEmpty()) {
             throw new RuntimeException("zookeeper.root_path should not be empty");
         }
+        ZK_CERT = prop.getProperty("zookeeper.cert", "");
 
         HADOOP_CONF_DIR = prop.getProperty("hadoop.conf.dir", "");
         if (HADOOP_CONF_DIR.isEmpty()) {
diff --git a/java/openmldb-synctool/src/main/java/com/_4paradigm/openmldb/synctool/SyncToolImpl.java b/java/openmldb-synctool/src/main/java/com/_4paradigm/openmldb/synctool/SyncToolImpl.java
index f63ff2ae406..0e98cffa6f3 100644
--- a/java/openmldb-synctool/src/main/java/com/_4paradigm/openmldb/synctool/SyncToolImpl.java
+++ b/java/openmldb-synctool/src/main/java/com/_4paradigm/openmldb/synctool/SyncToolImpl.java
@@ -85,11 +85,13 @@ public SyncToolImpl(String endpoint) throws SqlException, InterruptedException {
         this.zkClient = new ZKClient(ZKConfig.builder()
                 .cluster(SyncToolConfig.ZK_CLUSTER)
                 .namespace(SyncToolConfig.ZK_ROOT_PATH)
+                .cert(SyncToolConfig.ZK_CERT)
                 .build());
         Preconditions.checkState(zkClient.connect(), "zk connect failed");
         SdkOption option = new SdkOption();
         option.setZkCluster(SyncToolConfig.ZK_CLUSTER);
         option.setZkPath(SyncToolConfig.ZK_ROOT_PATH);
+        option.setZkCert(SyncToolConfig.ZK_CERT);
         this.router = new SqlClusterExecutor(option);
         this.zkCollectorPath = SyncToolConfig.ZK_ROOT_PATH + "/sync_tool/collector";
 
diff --git a/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/client/TaskManagerClient.java b/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/client/TaskManagerClient.java
index ad4bc157b6e..309154233f8 100644
--- a/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/client/TaskManagerClient.java
+++ b/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/client/TaskManagerClient.java
@@ -30,9 +30,12 @@
 import org.apache.commons.logging.LogFactory;
 import org.apache.curator.framework.CuratorFramework;
 import org.apache.curator.framework.CuratorFrameworkFactory;
+import org.apache.curator.framework.api.ACLProvider;
 import org.apache.curator.framework.recipes.cache.NodeCache;
 import org.apache.curator.framework.recipes.cache.NodeCacheListener;
 import org.apache.curator.retry.ExponentialBackoffRetry;
+import org.apache.zookeeper.ZooDefs;
+import org.apache.zookeeper.data.ACL;
 import org.apache.zookeeper.data.Stat;
 import java.util.ArrayList;
 import java.util.HashMap;
@@ -59,16 +62,34 @@ public TaskManagerClient(String endpoint) {
     }
 
     public TaskManagerClient(String zkCluster, String zkPath) throws Exception {
+        this(zkCluster, zkPath, "");
+    }
+
+    public TaskManagerClient(String zkCluster, String zkPath, String zkCert) throws Exception {
         if (zkCluster == null || zkPath == null) {
             logger.info("Zookeeper address is wrong, please check the configuration");
         }
         String masterZnode = zkPath + "/taskmanager/leader";
 
-        zkClient = CuratorFrameworkFactory.builder()
+        CuratorFrameworkFactory.Builder builder = CuratorFrameworkFactory.builder()
                 .connectString(zkCluster)
                 .sessionTimeoutMs(10000)
-                .retryPolicy(new ExponentialBackoffRetry(1000, 10))
-                .build();
+                .retryPolicy(new ExponentialBackoffRetry(1000, 10));
+        if (!zkCert.isEmpty()) {
+            builder.authorization("digest", zkCert.getBytes())
+                    .aclProvider(new ACLProvider() {
+                        @Override
+                        public List<ACL> getDefaultAcl() {
+                            return ZooDefs.Ids.CREATOR_ALL_ACL;
+                        }
+
+                        @Override
+                        public List<ACL> getAclForPath(String s) {
+                            return ZooDefs.Ids.CREATOR_ALL_ACL;
+                        }
+                    });
+        }
+        zkClient = builder.build();
         zkClient.start();
         Stat stat = zkClient.checkExists().forPath(masterZnode);
         if (stat != null) {  // The original master exists and is directly connected to it.
diff --git a/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/config/TaskManagerConfig.java b/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/config/TaskManagerConfig.java
index 76642ff17d6..784756ba726 100644
--- a/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/config/TaskManagerConfig.java
+++ b/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/config/TaskManagerConfig.java
@@ -101,6 +101,10 @@ public static String getZkRootPath() {
         return getString("zookeeper.root_path");
     }
 
+    public static String getZkCert() {
+        return props.getProperty("zookeeper.cert", "");
+    }
+
     public static int getZkConnectionTimeout() {
         return getInt("zookeeper.connection_timeout");
     }
diff --git a/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/server/impl/TaskManagerImpl.java b/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/server/impl/TaskManagerImpl.java
index 6fd43d4200c..695338925d8 100644
--- a/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/server/impl/TaskManagerImpl.java
+++ b/java/openmldb-taskmanager/src/main/java/com/_4paradigm/openmldb/taskmanager/server/impl/TaskManagerImpl.java
@@ -80,6 +80,7 @@ private void initExternalFunction() throws InterruptedException {
                 .connectionTimeout(TaskManagerConfig.getZkConnectionTimeout())
                 .maxConnectWaitTime(TaskManagerConfig.getZkMaxConnectWaitTime())
                 .maxRetries(TaskManagerConfig.getZkMaxRetries())
+                .cert(TaskManagerConfig.getZkCert())
                 .build());
         zkClient.connect();
 
diff --git a/python/openmldb_sdk/openmldb/sdk/sdk.py b/python/openmldb_sdk/openmldb/sdk/sdk.py
index bc8454039b4..e079f77c5d3 100644
--- a/python/openmldb_sdk/openmldb/sdk/sdk.py
+++ b/python/openmldb_sdk/openmldb/sdk/sdk.py
@@ -52,6 +52,8 @@ def init(self):
                 options.zk_log_level = int(self.options_map['zkLogLevel'])
             if 'zkLogFile' in self.options_map:
                 options.zk_log_file = self.options_map['zkLogFile']
+            if 'zkCert' in self.options_map:
+                options.zk_cert = self.options_map['zkCert']
         else:
             options = sql_router_sdk.StandaloneOptions()
             # use host
diff --git a/release/conf/apiserver.flags.template b/release/conf/apiserver.flags.template
index 539bcc8e4a4..5429b305c3a 100644
--- a/release/conf/apiserver.flags.template
+++ b/release/conf/apiserver.flags.template
@@ -3,6 +3,7 @@
 --role=apiserver
 --zk_cluster=127.0.0.1:2181
 --zk_root_path=/openmldb
+#--zk_cert=user:passwd
 
 --openmldb_log_dir=./logs
 --log_level=info
diff --git a/release/conf/nameserver.flags.template b/release/conf/nameserver.flags.template
index 445833d194a..b738503bfcc 100644
--- a/release/conf/nameserver.flags.template
+++ b/release/conf/nameserver.flags.template
@@ -3,6 +3,7 @@
 --role=nameserver
 --zk_cluster=127.0.0.1:2181
 --zk_root_path=/openmldb
+#--zk_cert=user:passwd
 
 --openmldb_log_dir=./logs
 --log_level=info
diff --git a/release/conf/tablet.flags.template b/release/conf/tablet.flags.template
index 3d126d74123..29e0bd7d374 100644
--- a/release/conf/tablet.flags.template
+++ b/release/conf/tablet.flags.template
@@ -6,6 +6,7 @@
 
 --zk_cluster=127.0.0.1:2181
 --zk_root_path=/openmldb
+#--zk_cert=user:passwd
 
 # thread_pool_size建议和cpu核数一致
 --thread_pool_size=24
diff --git a/src/cmd/openmldb.cc b/src/cmd/openmldb.cc
index d132190f588..8c07cb252da 100644
--- a/src/cmd/openmldb.cc
+++ b/src/cmd/openmldb.cc
@@ -62,6 +62,8 @@ DECLARE_string(nameserver);
 DECLARE_int32(port);
 DECLARE_string(zk_cluster);
 DECLARE_string(zk_root_path);
+DECLARE_string(zk_auth_schema);
+DECLARE_string(zk_cert);
 DECLARE_int32(thread_pool_size);
 DECLARE_int32(put_concurrency_limit);
 DECLARE_int32(get_concurrency_limit);
@@ -3653,7 +3655,7 @@ void StartNsClient() {
     std::shared_ptr<::openmldb::zk::ZkClient> zk_client;
     if (!FLAGS_zk_cluster.empty()) {
         zk_client = std::make_shared<::openmldb::zk::ZkClient>(FLAGS_zk_cluster, "",
-                FLAGS_zk_session_timeout, "", FLAGS_zk_root_path);
+                FLAGS_zk_session_timeout, "", FLAGS_zk_root_path, FLAGS_zk_auth_schema, FLAGS_zk_cert);
         if (!zk_client->Init()) {
             std::cout << "zk client init failed" << std::endl;
             return;
@@ -3876,6 +3878,8 @@ void StartAPIServer() {
         cluster_options.zk_cluster = FLAGS_zk_cluster;
         cluster_options.zk_path = FLAGS_zk_root_path;
         cluster_options.zk_session_timeout = FLAGS_zk_session_timeout;
+        cluster_options.zk_auth_schema = FLAGS_zk_auth_schema;
+        cluster_options.zk_cert = FLAGS_zk_cert;
         if (!api_service->Init(cluster_options)) {
             PDLOG(WARNING, "Fail to init");
             exit(1);
diff --git a/src/cmd/sql_cmd.h b/src/cmd/sql_cmd.h
index 2d941c65a35..6b8eae72afb 100644
--- a/src/cmd/sql_cmd.h
+++ b/src/cmd/sql_cmd.h
@@ -41,6 +41,8 @@ DEFINE_string(spark_conf, "", "The config file of Spark job");
 // cluster mode
 DECLARE_string(zk_cluster);
 DECLARE_string(zk_root_path);
+DECLARE_string(zk_auth_schema);
+DECLARE_string(zk_cert);
 DECLARE_int32(zk_session_timeout);
 DECLARE_uint32(zk_log_level);
 DECLARE_string(zk_log_file);
@@ -267,6 +269,8 @@ bool InitClusterSDK() {
     copt.zk_session_timeout = FLAGS_zk_session_timeout;
     copt.zk_log_level = FLAGS_zk_log_level;
     copt.zk_log_file = FLAGS_zk_log_file;
+    copt.zk_auth_schema = FLAGS_zk_auth_schema;
+    copt.zk_cert = FLAGS_zk_cert;
 
     cs = new ::openmldb::sdk::ClusterSDK(copt);
     if (!cs->Init()) {
diff --git a/src/datacollector/data_collector.cc b/src/datacollector/data_collector.cc
index 8cf02a3ab2b..cb1a8f254e2 100644
--- a/src/datacollector/data_collector.cc
+++ b/src/datacollector/data_collector.cc
@@ -33,6 +33,8 @@
 
 DECLARE_string(zk_cluster);
 DECLARE_string(zk_root_path);
+DECLARE_string(zk_auth_schema);
+DECLARE_string(zk_cert);
 DECLARE_int32(thread_pool_size);
 DECLARE_int32(zk_session_timeout);
 DECLARE_int32(zk_keep_alive_check_interval);
@@ -179,7 +181,8 @@ bool DataCollectorImpl::Init(const std::string& endpoint) {
 }
 bool DataCollectorImpl::Init(const std::string& zk_cluster, const std::string& zk_path, const std::string& endpoint) {
     zk_client_ = std::make_shared<zk::ZkClient>(zk_cluster, FLAGS_zk_session_timeout, endpoint, zk_path,
-                                                zk_path + kDataCollectorRegisterPath);
+                                                zk_path + kDataCollectorRegisterPath,
+                                                FLAGS_zk_auth_schema, FLAGS_zk_cert);
     if (!zk_client_->Init()) {
         LOG(WARNING) << "fail to init zk client";
         return false;
diff --git a/src/flags.cc b/src/flags.cc
index bed34c0150d..42e085781eb 100644
--- a/src/flags.cc
+++ b/src/flags.cc
@@ -30,6 +30,8 @@ DEFINE_uint32(tablet_heartbeat_timeout, 5 * 60 * 1000, "config the heartbeat of
 DEFINE_uint32(tablet_offline_check_interval, 1000, "config the check interval of tablet offline. unit is milliseconds");
 DEFINE_string(zk_cluster, "", "config the zookeeper cluster eg ip:2181,ip2:2181,ip3:2181");
 DEFINE_string(zk_root_path, "/openmldb", "config the root path of zookeeper");
+DEFINE_string(zk_auth_schema, "digest", "config the id of authentication schema");
+DEFINE_string(zk_cert, "", "config the application credentials");
 DEFINE_string(tablet, "", "config the endpoint of tablet");
 DEFINE_string(nameserver, "", "config the endpoint of nameserver");
 DEFINE_int32(zk_keep_alive_check_interval, 15000, "config the interval of keep alive check. unit is milliseconds");
diff --git a/src/nameserver/cluster_info.cc b/src/nameserver/cluster_info.cc
index de30fc8d18f..ec685ce8b3f 100644
--- a/src/nameserver/cluster_info.cc
+++ b/src/nameserver/cluster_info.cc
@@ -94,7 +94,8 @@ void ClusterInfo::UpdateNSClient(const std::vector<std::string>& children) {
 
 int ClusterInfo::Init(std::string& msg) {
     zk_client_ = std::make_shared<::openmldb::zk::ZkClient>(cluster_add_.zk_endpoints(), FLAGS_zk_session_timeout, "",
-                                            cluster_add_.zk_path(), cluster_add_.zk_path() + "/leader");
+                                            cluster_add_.zk_path(), cluster_add_.zk_path() + "/leader",
+                                            cluster_add_.zk_auth_schema(), cluster_add_.zk_cert());
     bool ok = zk_client_->Init();
     for (int i = 1; i < 3; i++) {
         if (ok) {
diff --git a/src/nameserver/name_server_create_remote_test.cc b/src/nameserver/name_server_create_remote_test.cc
index 0075999b645..def3d1d0a07 100644
--- a/src/nameserver/name_server_create_remote_test.cc
+++ b/src/nameserver/name_server_create_remote_test.cc
@@ -43,8 +43,6 @@ DECLARE_uint32(name_server_task_max_concurrency);
 DECLARE_uint32(system_table_replica_num);
 DECLARE_bool(auto_failover);
 
-using ::openmldb::zk::ZkClient;
-
 namespace openmldb {
 namespace nameserver {
 
diff --git a/src/nameserver/name_server_impl.cc b/src/nameserver/name_server_impl.cc
index 862ee42d320..c76054d622b 100644
--- a/src/nameserver/name_server_impl.cc
+++ b/src/nameserver/name_server_impl.cc
@@ -51,6 +51,8 @@
 DECLARE_string(endpoint);
 DECLARE_string(zk_cluster);
 DECLARE_string(zk_root_path);
+DECLARE_string(zk_auth_schema);
+DECLARE_string(zk_cert);
 DECLARE_string(tablet);
 DECLARE_int32(zk_session_timeout);
 DECLARE_int32(zk_keep_alive_check_interval);
@@ -1411,7 +1413,8 @@ bool NameServerImpl::Init(const std::string& zk_cluster, const std::string& zk_p
         zone_info_.set_replica_alias("");
         zone_info_.set_zone_term(1);
         LOG(INFO) << "zone name " << zone_info_.zone_name();
-        zk_client_ = new ZkClient(zk_cluster, real_endpoint, FLAGS_zk_session_timeout, endpoint, zk_path);
+        zk_client_ = new ZkClient(zk_cluster, real_endpoint, FLAGS_zk_session_timeout, endpoint, zk_path,
+                FLAGS_zk_auth_schema, FLAGS_zk_cert);
         if (!zk_client_->Init()) {
             PDLOG(WARNING, "fail to init zookeeper with cluster[%s]", zk_cluster.c_str());
             return false;
diff --git a/src/nameserver/name_server_test.cc b/src/nameserver/name_server_test.cc
index f1ad0f86eab..eee5d79f351 100644
--- a/src/nameserver/name_server_test.cc
+++ b/src/nameserver/name_server_test.cc
@@ -38,6 +38,8 @@ DECLARE_string(ssd_root_path);
 DECLARE_string(hdd_root_path);
 DECLARE_string(zk_cluster);
 DECLARE_string(zk_root_path);
+DECLARE_string(zk_auth_schema);
+DECLARE_string(zk_cert);
 DECLARE_int32(zk_session_timeout);
 DECLARE_int32(request_timeout_ms);
 DECLARE_int32(zk_keep_alive_check_interval);
@@ -171,7 +173,8 @@ TEST_P(NameServerImplTest, MakesnapshotTask) {
 
     sleep(5);
 
-    ZkClient zk_client(FLAGS_zk_cluster, "", 1000, FLAGS_endpoint, FLAGS_zk_root_path);
+    ZkClient zk_client(FLAGS_zk_cluster, "", 1000, FLAGS_endpoint, FLAGS_zk_root_path,
+            FLAGS_zk_auth_schema, FLAGS_zk_cert);
     ok = zk_client.Init();
     ASSERT_TRUE(ok);
     std::string op_index_node = FLAGS_zk_root_path + "/op/op_index";
diff --git a/src/nameserver/new_server_env_test.cc b/src/nameserver/new_server_env_test.cc
index e05d1bc509c..405e3f436e0 100644
--- a/src/nameserver/new_server_env_test.cc
+++ b/src/nameserver/new_server_env_test.cc
@@ -34,6 +34,8 @@ DECLARE_string(endpoint);
 DECLARE_string(db_root_path);
 DECLARE_string(zk_cluster);
 DECLARE_string(zk_root_path);
+DECLARE_string(zk_auth_schema);
+DECLARE_string(zk_cert);
 DECLARE_int32(zk_session_timeout);
 DECLARE_int32(request_timeout_ms);
 DECLARE_int32(request_timeout_ms);
@@ -108,7 +110,8 @@ void SetSdkEndpoint(::openmldb::RpcClient<::openmldb::nameserver::NameServer_Stu
 
 void ShowNameServer(std::map<std::string, std::string>* map) {
     std::shared_ptr<::openmldb::zk::ZkClient> zk_client;
-    zk_client = std::make_shared<::openmldb::zk::ZkClient>(FLAGS_zk_cluster, "", 1000, "", FLAGS_zk_root_path);
+    zk_client = std::make_shared<::openmldb::zk::ZkClient>(FLAGS_zk_cluster, "", 1000, "", FLAGS_zk_root_path,
+            FLAGS_zk_auth_schema, FLAGS_zk_cert);
     if (!zk_client->Init()) {
         ASSERT_TRUE(false);
     }
diff --git a/src/proto/name_server.proto b/src/proto/name_server.proto
index b0eb526d8e7..08383b4f7c0 100755
--- a/src/proto/name_server.proto
+++ b/src/proto/name_server.proto
@@ -365,6 +365,8 @@ message ClusterAddress {
     optional string zk_endpoints = 1;
     optional string zk_path = 2;
     optional string alias = 3;
+    optional string zk_auth_schema = 4;
+    optional string zk_cert = 5;
 }
 
 message GeneralRequest {}
diff --git a/src/sdk/db_sdk.cc b/src/sdk/db_sdk.cc
index c04e86d4f03..0f551853740 100644
--- a/src/sdk/db_sdk.cc
+++ b/src/sdk/db_sdk.cc
@@ -207,7 +207,9 @@ void ClusterSDK::CheckZk() {
 bool ClusterSDK::Init() {
     zk_client_ = new ::openmldb::zk::ZkClient(options_.zk_cluster, "",
                                               options_.zk_session_timeout, "",
-                                              options_.zk_path);
+                                              options_.zk_path,
+                                              options_.zk_auth_schema,
+                                              options_.zk_cert);
 
     bool ok = zk_client_->Init(options_.zk_log_level, options_.zk_log_file);
     if (!ok) {
diff --git a/src/sdk/db_sdk.h b/src/sdk/db_sdk.h
index 71e3e321241..c6d2cfbab76 100644
--- a/src/sdk/db_sdk.h
+++ b/src/sdk/db_sdk.h
@@ -43,11 +43,14 @@ struct ClusterOptions {
     int32_t zk_session_timeout = 2000;
     int32_t zk_log_level = 3;
     std::string zk_log_file;
+    std::string zk_auth_schema = "digest";
+    std::string zk_cert;
     std::string to_string() {
         std::stringstream ss;
         ss << "zk options [cluster:" << zk_cluster << ", path:" << zk_path
            << ", zk_session_timeout:" << zk_session_timeout
-           << ", log_level:" << zk_log_level << ", log_file:" << zk_log_file << "]";
+           << ", log_level:" << zk_log_level << ", log_file:" << zk_log_file
+           << ", zk_auth_schema:" << zk_auth_schema << ", zk_cert:" << zk_cert << "]";
         return ss.str();
     }
 };
diff --git a/src/sdk/sql_cluster_router.cc b/src/sdk/sql_cluster_router.cc
index 25b51991da6..2556eac681e 100644
--- a/src/sdk/sql_cluster_router.cc
+++ b/src/sdk/sql_cluster_router.cc
@@ -258,6 +258,8 @@ bool SQLClusterRouter::Init() {
             coptions.zk_session_timeout = ops->zk_session_timeout;
             coptions.zk_log_level = ops->zk_log_level;
             coptions.zk_log_file = ops->zk_log_file;
+            coptions.zk_auth_schema = ops->zk_auth_schema;
+            coptions.zk_cert = ops->zk_cert;
             cluster_sdk_ = new ClusterSDK(coptions);
             // TODO(hw): no detail error info
             bool ok = cluster_sdk_->Init();
diff --git a/src/sdk/sql_router.h b/src/sdk/sql_router.h
index f88cc0b00f9..68186a83b00 100644
--- a/src/sdk/sql_router.h
+++ b/src/sdk/sql_router.h
@@ -58,6 +58,8 @@ struct SQLRouterOptions : BasicRouterOptions {
     std::string spark_conf_path;
     uint32_t zk_log_level = 3;  // PY/JAVA SDK default info log
     std::string zk_log_file;
+    std::string zk_auth_schema = "digest";
+    std::string zk_cert;
 };
 
 struct StandaloneOptions : BasicRouterOptions {
diff --git a/src/tablet/tablet_impl.cc b/src/tablet/tablet_impl.cc
index bc319c105d7..16958e3aeb2 100644
--- a/src/tablet/tablet_impl.cc
+++ b/src/tablet/tablet_impl.cc
@@ -107,6 +107,8 @@ DECLARE_string(zk_cluster);
 DECLARE_string(zk_root_path);
 DECLARE_int32(zk_session_timeout);
 DECLARE_int32(zk_keep_alive_check_interval);
+DECLARE_string(zk_auth_schema);
+DECLARE_string(zk_cert);
 
 DECLARE_int32(binlog_sync_to_disk_interval);
 DECLARE_int32(binlog_delete_interval);
@@ -190,7 +192,8 @@ bool TabletImpl::Init(const std::string& zk_cluster, const std::string& zk_path,
     deploy_collector_ = std::make_unique<::openmldb::statistics::DeployQueryTimeCollector>();
 
     if (!zk_cluster.empty()) {
-        zk_client_ = new ZkClient(zk_cluster, real_endpoint, FLAGS_zk_session_timeout, endpoint, zk_path);
+        zk_client_ = new ZkClient(zk_cluster, real_endpoint, FLAGS_zk_session_timeout, endpoint, zk_path,
+                FLAGS_zk_auth_schema, FLAGS_zk_cert);
         bool ok = zk_client_->Init();
         if (!ok) {
             PDLOG(ERROR, "fail to init zookeeper with cluster %s", zk_cluster.c_str());
diff --git a/src/tablet/tablet_impl_keep_alive_test.cc b/src/tablet/tablet_impl_keep_alive_test.cc
index eafd3338b4d..7339ca80607 100644
--- a/src/tablet/tablet_impl_keep_alive_test.cc
+++ b/src/tablet/tablet_impl_keep_alive_test.cc
@@ -66,7 +66,7 @@ TEST_F(TabletImplTest, KeepAlive) {
     FLAGS_endpoint = "127.0.0.1:9527";
     FLAGS_zk_cluster = "127.0.0.1:6181";
     FLAGS_zk_root_path = "/rtidb2";
-    ZkClient zk_client(FLAGS_zk_cluster, "", 1000, "test1", FLAGS_zk_root_path);
+    ZkClient zk_client(FLAGS_zk_cluster, "", 1000, "test1", FLAGS_zk_root_path, "", "");
     bool ok = zk_client.Init();
     ASSERT_TRUE(ok);
     ok = zk_client.Mkdir("/rtidb2/nodes");
diff --git a/src/zk/dist_lock_test.cc b/src/zk/dist_lock_test.cc
index cf81d44ece2..0bf33604bf0 100644
--- a/src/zk/dist_lock_test.cc
+++ b/src/zk/dist_lock_test.cc
@@ -43,7 +43,7 @@ void OnLockedCallback() { call_invoked = true; }
 void OnLostCallback() {}
 
 TEST_F(DistLockTest, Lock) {
-    ZkClient client("127.0.0.1:6181", "", 10000, "127.0.0.1:9527", "/openmldb_lock");
+    ZkClient client("127.0.0.1:6181", "", 10000, "127.0.0.1:9527", "/openmldb_lock", "", "");
     bool ok = client.Init();
     ASSERT_TRUE(ok);
     DistLock lock("/openmldb_lock/nameserver_lock", &client, boost::bind(&OnLockedCallback),
@@ -59,7 +59,7 @@ TEST_F(DistLockTest, Lock) {
     lock.CurrentLockValue(current_lock);
     ASSERT_EQ("endpoint1", current_lock);
     call_invoked = false;
-    ZkClient client2("127.0.0.1:6181", "", 10000, "127.0.0.1:9527", "/openmldb_lock");
+    ZkClient client2("127.0.0.1:6181", "", 10000, "127.0.0.1:9527", "/openmldb_lock", "", "");
     ok = client2.Init();
     if (!ok) {
         lock.Stop();
diff --git a/src/zk/zk_client.cc b/src/zk/zk_client.cc
index 382ce4c00f2..ecc94c1251c 100644
--- a/src/zk/zk_client.cc
+++ b/src/zk/zk_client.cc
@@ -64,11 +64,15 @@ void ItemWatcher(zhandle_t* zh, int type, int state, const char* path, void* wat
 }
 
 ZkClient::ZkClient(const std::string& hosts, const std::string& real_endpoint, int32_t session_timeout,
-                   const std::string& endpoint, const std::string& zk_root_path)
+                   const std::string& endpoint, const std::string& zk_root_path,
+                   const std::string& auth_schema, const std::string& cert)
     : hosts_(hosts),
       session_timeout_(session_timeout),
       endpoint_(endpoint),
       zk_root_path_(zk_root_path),
+      auth_schema_(auth_schema),
+      cert_(cert),
+      acl_vector_(ZOO_OPEN_ACL_UNSAFE),
       real_endpoint_(real_endpoint),
       nodes_root_path_(zk_root_path_ + "/nodes"),
       nodes_watch_callbacks_(),
@@ -88,11 +92,15 @@ ZkClient::ZkClient(const std::string& hosts, const std::string& real_endpoint, i
 }
 
 ZkClient::ZkClient(const std::string& hosts, int32_t session_timeout, const std::string& endpoint,
-                   const std::string& zk_root_path, const std::string& zone_path)
+                   const std::string& zk_root_path, const std::string& zone_path,
+                   const std::string& auth_schema, const std::string& cert)
     : hosts_(hosts),
       session_timeout_(session_timeout),
       endpoint_(endpoint),
       zk_root_path_(zk_root_path),
+      auth_schema_(auth_schema),
+      cert_(cert),
+      acl_vector_(ZOO_OPEN_ACL_UNSAFE),
       nodes_root_path_(zone_path),
       nodes_watch_callbacks_(),
       mu_(),
@@ -133,6 +141,14 @@ bool ZkClient::Init(int log_level, const std::string& log_file) {
         PDLOG(WARNING, "fail to init zk handler with hosts %s, session_timeout %d", hosts_.c_str(), session_timeout_);
         return false;
     }
+    if (!cert_.empty()) {
+        if (zoo_add_auth(zk_, auth_schema_.c_str(), cert_.data(), cert_.length(), NULL, NULL) != ZOK) {
+            PDLOG(WARNING, "auth failed. schema: %s cert: %s", auth_schema_.c_str(), cert_.c_str());
+            return false;
+        }
+        acl_vector_ = ZOO_CREATOR_ALL_ACL;
+        PDLOG(INFO, "auth ok. schema: %s cert: %s", auth_schema_.c_str(), cert_.c_str());
+    }
     return true;
 }
 
@@ -173,7 +189,7 @@ bool ZkClient::Register(bool startup_flag) {
     if (startup_flag) {
         value = "startup_" + endpoint_;
     }
-    int ret = zoo_create(zk_, node.c_str(), value.c_str(), value.size(), &ZOO_OPEN_ACL_UNSAFE, ZOO_EPHEMERAL, NULL, 0);
+    int ret = zoo_create(zk_, node.c_str(), value.c_str(), value.size(), &acl_vector_, ZOO_EPHEMERAL, NULL, 0);
     if (ret == ZOK) {
         PDLOG(INFO, "register self with endpoint %s ok", endpoint_.c_str());
         registed_.store(true, std::memory_order_relaxed);
@@ -231,7 +247,7 @@ bool ZkClient::RegisterName() {
         }
         PDLOG(WARNING, "set node with name %s value %s failed", sname.c_str(), value.c_str());
     } else {
-        int ret = zoo_create(zk_, name.c_str(), value.c_str(), value.size(), &ZOO_OPEN_ACL_UNSAFE, 0, NULL, 0);
+        int ret = zoo_create(zk_, name.c_str(), value.c_str(), value.size(), &acl_vector_, 0, NULL, 0);
         if (ret == ZOK) {
             PDLOG(INFO, "register with name %s value %s ok", sname.c_str(), value.c_str());
             return true;
@@ -281,7 +297,7 @@ bool ZkClient::CreateNode(const std::string& node, const std::string& value, int
     uint32_t size = node.size() + 11;
     char path_buffer[size];  // NOLINT
     int ret =
-        zoo_create(zk_, node.c_str(), value.c_str(), value.size(), &ZOO_OPEN_ACL_UNSAFE, flags, path_buffer, size);
+        zoo_create(zk_, node.c_str(), value.c_str(), value.size(), &acl_vector_, flags, path_buffer, size);
     if (ret == ZOK) {
         assigned_path_name.assign(path_buffer, size - 1);
         PDLOG(INFO, "create node %s ok and real node name %s", node.c_str(), assigned_path_name.c_str());
@@ -371,9 +387,11 @@ bool ZkClient::GetNodeValueAndStat(const char* node, std::string* value, Stat* s
 
 bool ZkClient::DeleteNode(const std::string& node) {
     std::lock_guard<std::mutex> lock(mu_);
-    if (zoo_delete(zk_, node.c_str(), -1) == ZOK) {
+    int ret = zoo_delete(zk_, node.c_str(), -1);
+    if (ret == ZOK) {
         return true;
     }
+    PDLOG(WARNING, "delete %s failed. error no is %d", node.c_str(), ret);
     return false;
 }
 
@@ -597,7 +615,7 @@ bool ZkClient::MkdirNoLock(const std::string& path) {
         }
         full_path += *it;
         index++;
-        int ret = zoo_create(zk_, full_path.c_str(), "", 0, &ZOO_OPEN_ACL_UNSAFE, 0, NULL, 0);
+        int ret = zoo_create(zk_, full_path.c_str(), "", 0, &acl_vector_, 0, NULL, 0);
         if (ret == ZNODEEXISTS || ret == ZOK) {
             continue;
         }
diff --git a/src/zk/zk_client.h b/src/zk/zk_client.h
index e06c0de7e6a..344df5753e2 100644
--- a/src/zk/zk_client.h
+++ b/src/zk/zk_client.h
@@ -46,10 +46,12 @@ class ZkClient {
     // session_timeout, the session timeout
     // endpoint, the client endpoint
     ZkClient(const std::string& hosts, const std::string& real_endpoint, int32_t session_timeout,
-             const std::string& endpoint, const std::string& zk_root_path);
+             const std::string& endpoint, const std::string& zk_root_path,
+             const std::string& auth_schema, const std::string& cert);
 
     ZkClient(const std::string& hosts, int32_t session_timeout, const std::string& endpoint,
-             const std::string& zk_root_path, const std::string& zone_path);
+             const std::string& zk_root_path, const std::string& zone_path,
+             const std::string& auth_schema, const std::string& cert);
     ~ZkClient();
 
     // init zookeeper connections
@@ -145,6 +147,9 @@ class ZkClient {
     int32_t session_timeout_;
     std::string endpoint_;
     std::string zk_root_path_;
+    std::string auth_schema_;
+    std::string cert_;
+    struct ACL_vector acl_vector_;
     std::string real_endpoint_;
 
     FILE* zk_log_stream_file_ = NULL;
diff --git a/src/zk/zk_client_test.cc b/src/zk/zk_client_test.cc
index 0d4ffb5af83..04879c74359 100644
--- a/src/zk/zk_client_test.cc
+++ b/src/zk/zk_client_test.cc
@@ -49,13 +49,13 @@ void WatchCallback(const std::vector<std::string>& endpoints) {
 }
 
 TEST_F(ZkClientTest, BadZk) {
-    ZkClient client("127.0.0.1:13181", "", session_timeout, "127.0.0.1:9527", "/openmldb");
+    ZkClient client("127.0.0.1:13181", "", session_timeout, "127.0.0.1:9527", "/openmldb", "", "");
     bool ok = client.Init();
     ASSERT_FALSE(ok);
 }
 
 TEST_F(ZkClientTest, Init) {
-    ZkClient client("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9527", "/openmldb");
+    ZkClient client("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9527", "/openmldb", "", "");
     bool ok = client.Init();
     ASSERT_TRUE(ok);
     ok = client.Register();
@@ -71,7 +71,7 @@ TEST_F(ZkClientTest, Init) {
     ok = client.WatchNodes();
     ASSERT_TRUE(ok);
     {
-        ZkClient client2("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9528", "/openmldb");
+        ZkClient client2("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9528", "/openmldb", "", "");
         ok = client2.Init();
         client2.Register();
         ASSERT_TRUE(ok);
@@ -83,7 +83,7 @@ TEST_F(ZkClientTest, Init) {
 }
 
 TEST_F(ZkClientTest, CreateNode) {
-    ZkClient client("127.0.0.1:6181", "", 1000, "127.0.0.1:9527", "/openmldb1");
+    ZkClient client("127.0.0.1:6181", "", 1000, "127.0.0.1:9527", "/openmldb1", "", "");
     bool ok = client.Init();
     ASSERT_TRUE(ok);
 
@@ -99,7 +99,7 @@ TEST_F(ZkClientTest, CreateNode) {
     ret = client.IsExistNode(node);
     ASSERT_EQ(ret, 0);
 
-    ZkClient client2("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9527", "/openmldb1");
+    ZkClient client2("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9527", "/openmldb1", "", "");
     ok = client2.Init();
     ASSERT_TRUE(ok);
 
@@ -109,7 +109,7 @@ TEST_F(ZkClientTest, CreateNode) {
 }
 
 TEST_F(ZkClientTest, ZkNodeChange) {
-    ZkClient client("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9527", "/openmldb1");
+    ZkClient client("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9527", "/openmldb1", "", "");
     bool ok = client.Init();
     ASSERT_TRUE(ok);
 
@@ -121,7 +121,7 @@ TEST_F(ZkClientTest, ZkNodeChange) {
     ret = client.IsExistNode(node);
     ASSERT_EQ(ret, 0);
 
-    ZkClient client2("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9527", "/openmldb1");
+    ZkClient client2("127.0.0.1:6181", "", session_timeout, "127.0.0.1:9527", "/openmldb1", "", "");
     ok = client2.Init();
     ASSERT_TRUE(ok);
     std::atomic<bool> detect(false);
@@ -146,6 +146,48 @@ TEST_F(ZkClientTest, ZkNodeChange) {
     ASSERT_TRUE(detect.load());
 }
 
+TEST_F(ZkClientTest, Auth) {
+    std::string node = "/openmldb_auth/node1";
+    {
+        ZkClient client("127.0.0.1:6181", "", 1000, "127.0.0.1:9527", "/openmldb_auth", "digest", "user1:123456");
+        bool ok = client.Init();
+        ASSERT_TRUE(ok);
+
+        int ret = client.IsExistNode(node);
+        ASSERT_EQ(ret, 1);
+        ok = client.CreateNode(node, "value");
+        ASSERT_TRUE(ok);
+        ret = client.IsExistNode(node);
+        ASSERT_EQ(ret, 0);
+    }
+    {
+        ZkClient client("127.0.0.1:6181", "", 1000, "127.0.0.1:9527", "/openmldb_auth", "", "");
+        bool ok = client.Init();
+        ASSERT_TRUE(ok);
+        std::string value;
+        ASSERT_FALSE(client.GetNodeValue(node, value));
+        ASSERT_FALSE(client.CreateNode("/openmldb_auth/node1/dd", "aaa"));
+    }
+    {
+        ZkClient client("127.0.0.1:6181", "", 1000, "127.0.0.1:9527", "/openmldb_auth", "digest", "user1:wrong");
+        bool ok = client.Init();
+        ASSERT_TRUE(ok);
+        std::string value;
+        ASSERT_FALSE(client.GetNodeValue(node, value));
+        ASSERT_FALSE(client.CreateNode("/openmldb_auth/node1/dd", "aaa"));
+    }
+    {
+        ZkClient client("127.0.0.1:6181", "", 1000, "127.0.0.1:9527", "/openmldb_auth", "digest", "user1:123456");
+        bool ok = client.Init();
+        ASSERT_TRUE(ok);
+        std::string value;
+        ASSERT_TRUE(client.GetNodeValue(node, value));
+        ASSERT_EQ("value", value);
+        ASSERT_TRUE(client.DeleteNode(node));
+        ASSERT_TRUE(client.DeleteNode("/openmldb_auth"));
+    }
+}
+
 }  // namespace zk
 }  // namespace openmldb
 

From 5d0d6380d0dd0787aaa4e1bcb379eb4aa8c87f04 Mon Sep 17 00:00:00 2001
From: aceforeverd <teapot@aceforeverd.com>
Date: Wed, 15 Nov 2023 15:02:37 +0800
Subject: [PATCH 27/27] feat: left join (#3576)

* refactor: iterator & table handler

* refactor(runner): modulize runner.cc

runner.cc is too large, sepreate RunnerBuilder, RunnerContext, Runner and ClusterTask in
difference files

* feat(sql): support left join

* chore: refactor runner name & improve tests

* fix(runner): build cluster request join runner

For REQUESTJOIN(ANY1(T1), ANY2(T2)),
ANY1 may optimize T1, REQUESTJOIN, ANY2 may optimize T2, building
cluster task correctly
---
 cases/plan/join_query.yaml                    |   71 +-
 cases/query/fail_query.yaml                   |   21 +
 cases/query/left_join.yml                     |  575 +++++++++
 .../toydb/src/storage/table_iterator.cc       |    4 +-
 .../toydb/src/tablet/tablet_catalog.cc        |    8 -
 .../toydb/src/tablet/tablet_catalog.h         |   34 +-
 hybridse/include/codec/fe_row_codec.h         |    3 +
 hybridse/include/codec/row_list.h             |    8 +-
 hybridse/include/node/node_enum.h             |    2 +-
 hybridse/include/vm/catalog.h                 |   57 +-
 hybridse/include/vm/mem_catalog.h             |  132 +--
 hybridse/include/vm/physical_op.h             |  101 +-
 hybridse/include/vm/simple_catalog.h          |    1 -
 hybridse/src/base/fe_slice.cc                 |    2 +-
 .../physical/batch_request_optimize_test.cc   |    3 +
 hybridse/src/planv2/ast_node_converter.cc     |   11 +-
 hybridse/src/testing/engine_test_base.cc      |    2 +
 hybridse/src/vm/catalog_wrapper.cc            |  178 +--
 hybridse/src/vm/catalog_wrapper.h             |  261 ++---
 hybridse/src/vm/cluster_task.cc               |  136 +++
 hybridse/src/vm/cluster_task.h                |  182 +++
 hybridse/src/vm/engine.cc                     |    6 +-
 hybridse/src/vm/engine_compile_test.cc        |    7 +-
 hybridse/src/vm/generator.cc                  |  176 ++-
 hybridse/src/vm/generator.h                   |  112 +-
 hybridse/src/vm/mem_catalog.cc                |   25 +-
 hybridse/src/vm/runner.cc                     | 1028 +----------------
 hybridse/src/vm/runner.h                      |  535 +--------
 hybridse/src/vm/runner_builder.cc             |  909 +++++++++++++++
 hybridse/src/vm/runner_builder.h              |   92 ++
 hybridse/src/vm/runner_ctx.cc                 |   48 +
 hybridse/src/vm/runner_ctx.h                  |   99 ++
 hybridse/src/vm/runner_test.cc                |   15 -
 hybridse/src/vm/sql_compiler.cc               |    7 +-
 hybridse/src/vm/sql_compiler.h                |    4 +-
 hybridse/src/vm/sql_compiler_test.cc          |   21 +-
 hybridse/src/vm/transform.cc                  |   15 +-
 src/base/ddl_parser_test.cc                   |   65 +-
 src/sdk/sql_sdk_test.h                        |    2 +
 39 files changed, 2874 insertions(+), 2084 deletions(-)
 create mode 100644 cases/query/left_join.yml
 create mode 100644 hybridse/src/vm/cluster_task.cc
 create mode 100644 hybridse/src/vm/cluster_task.h
 create mode 100644 hybridse/src/vm/runner_builder.cc
 create mode 100644 hybridse/src/vm/runner_builder.h
 create mode 100644 hybridse/src/vm/runner_ctx.cc
 create mode 100644 hybridse/src/vm/runner_ctx.h

diff --git a/cases/plan/join_query.yaml b/cases/plan/join_query.yaml
index 4d2bbdc0e57..28021b54d4b 100644
--- a/cases/plan/join_query.yaml
+++ b/cases/plan/join_query.yaml
@@ -18,20 +18,83 @@ cases:
     sql: SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 full join t2 on t1.col1 = t2.col2;
     mode: physical-plan-unsupport
   - id: 2
+    mode: request-unsupport
     desc: 简单SELECT LEFT JOIN
-    mode: runner-unsupport
     sql: SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 left join t2 on t1.col1 = t2.col2;
+    expect:
+      node_tree_str: |
+        +-node[kQuery]: kQuerySelect
+          +-distinct_opt: false
+          +-where_expr: null
+          +-group_expr_list: null
+          +-having_expr: null
+          +-order_expr_list: null
+          +-limit: null
+          +-select_list[list]:
+          |  +-0:
+          |  |  +-node[kResTarget]
+          |  |    +-val:
+          |  |    |  +-expr[column ref]
+          |  |    |    +-relation_name: t1
+          |  |    |    +-column_name: COL1
+          |  |    +-name: <nil>
+          |  +-1:
+          |  |  +-node[kResTarget]
+          |  |    +-val:
+          |  |    |  +-expr[column ref]
+          |  |    |    +-relation_name: t1
+          |  |    |    +-column_name: COL2
+          |  |    +-name: <nil>
+          |  +-2:
+          |  |  +-node[kResTarget]
+          |  |    +-val:
+          |  |    |  +-expr[column ref]
+          |  |    |    +-relation_name: t2
+          |  |    |    +-column_name: COL1
+          |  |    +-name: <nil>
+          |  +-3:
+          |    +-node[kResTarget]
+          |      +-val:
+          |      |  +-expr[column ref]
+          |      |    +-relation_name: t2
+          |      |    +-column_name: COL2
+          |      +-name: <nil>
+          +-tableref_list[list]:
+          |  +-0:
+          |    +-node[kTableRef]: kJoin
+          |      +-join_type: LeftJoin
+          |      +-left:
+          |      |  +-node[kTableRef]: kTable
+          |      |    +-table: t1
+          |      |    +-alias: <nil>
+          |      +-right:
+          |        +-node[kTableRef]: kTable
+          |          +-table: t2
+          |          +-alias: <nil>
+          |      +-order_expressions: null
+          |      +-on:
+          |        +-expr[binary]
+          |          +-=[list]:
+          |            +-0:
+          |            |  +-expr[column ref]
+          |            |    +-relation_name: t1
+          |            |    +-column_name: col1
+          |            +-1:
+          |              +-expr[column ref]
+          |                +-relation_name: t2
+          |                +-column_name: col2
+          +-window_list: []
   - id: 3
     desc: 简单SELECT LAST JOIN
     sql: SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 last join t2 order by t2.col5 on t1.col1 = t2.col2;
   - id: 4
     desc: 简单SELECT RIGHT JOIN
     sql: SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 right join t2 on t1.col1 = t2.col2;
-    mode: runner-unsupport
+    mode: physical-plan-unsupport
   - id: 5
     desc: LeftJoin有不等式条件
     sql: SELECT t1.col1 as t1_col1, t2.col2 as t2_col2 FROM t1 left join t2 on t1.col1 = t2.col2 and t2.col5 >= t1.col5;
-    mode: runner-unsupport
+    mode: request-unsupport
   - id: 6
     desc: LastJoin有不等式条件
     sql: SELECT t1.col1 as t1_col1, t2.col2 as t2_col2 FROM t1 last join t2 order by t2.col5 on t1.col1 = t2.col2 and t2.col5 >= t1.col5;
@@ -162,4 +225,4 @@ cases:
       col1 as id,
       sum(col2) OVER w2 as w2_col2_sum FROM t1 WINDOW
       w2 AS (PARTITION BY col1 ORDER BY col5 ROWS_RANGE BETWEEN 1d OPEN PRECEDING AND CURRENT ROW)
-      ) as out1 ON out0.id = out1.id;
\ No newline at end of file
+      ) as out1 ON out0.id = out1.id;
diff --git a/cases/query/fail_query.yaml b/cases/query/fail_query.yaml
index 4058525678c..415fa203127 100644
--- a/cases/query/fail_query.yaml
+++ b/cases/query/fail_query.yaml
@@ -49,3 +49,24 @@ cases:
       SELECT 100 + 1s;
     expect:
       success: false
+  - id: 3
+    desc: unsupport join
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+      - name: t2
+        columns: ["c2 int","c4 timestamp"]
+        indexs: ["index1:c2:c4"]
+        rows:
+          - [20,3000]
+          - [20,2000]
+    sql: |
+      select t1.c1 as id, t2.* from t1 right join t2
+      on t1.c2 = t2.c2
+    expect:
+      success: false
+      msg: unsupport join type RightJoin
diff --git a/cases/query/left_join.yml b/cases/query/left_join.yml
new file mode 100644
index 00000000000..87e1c387ea6
--- /dev/null
+++ b/cases/query/left_join.yml
@@ -0,0 +1,575 @@
+cases:
+  - id: 0
+    desc: last join to a left join subquery
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+          - ["cc",40,1000]
+          - ["dd",50,1000]
+      - name: t2
+        columns: ["c1 string","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",2000]
+          - ["bb",2000]
+          - ["cc",3000]
+      - name: t3
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",19,13,3000]
+          - ["aa",21,13,3000]
+          - ["bb",34,131,3000]
+          - ["bb",21,131,3000]
+    sql: |
+      select
+        t1.c1,
+        tx.c1 as c1l,
+        tx.c1r,
+        tx.c2r
+      from t1 last join
+      (
+        select t2.c1 as c1,
+          t3.c1 as c1r,
+          t3.c2 as c2r
+        from t2 left join t3
+        on t2.c1 = t3.c1
+      ) tx
+      on t1.c1 = tx.c1 and t1.c2 > tx.c2r
+    batch_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r))
+        JOIN(type=LastJoin, condition=t1.c2 > tx.c2r, left_keys=(), right_keys=(), index_keys=(t1.c1))
+          DATA_PROVIDER(table=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r))
+              JOIN(type=LeftJoin, condition=, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r))
+        REQUEST_JOIN(type=LastJoin, condition=t1.c2 > tx.c2r, left_keys=(), right_keys=(), index_keys=(t1.c1))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r))
+              REQUEST_JOIN(type=LeftJoin, condition=, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    expect:
+      order: c1
+      columns: ["c1 string", "c1l string", "c1r string", "c2r int"]
+      data: |
+        aa, aa, aa, 19
+        bb, bb, bb, 21
+        cc, NULL, NULL, NULL
+        dd, NULL, NULL, NULL
+  - id: 1
+    desc: last join to a left join subquery, request unsupport if left join not optimized
+    mode: request-unsupport
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+          - ["cc",40,1000]
+          - ["dd",50,1000]
+      - name: t2
+        columns: ["c1 string","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",2000]
+          - ["bb",3000]
+          - ["cc",4000]
+      - name: t3
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c2:c4"]
+        rows:
+          - ["aa",19,13,3000]
+          - ["aa",21,13,4000]
+          - ["bb",34,131,3000]
+          - ["bb",21,131,4000]
+    sql: |
+      select
+        t1.c1,
+        tx.c1 as c1l,
+        tx.c1r,
+        tx.c2r
+      from t1 last join
+      (
+        select t2.c1 as c1,
+          t3.c1 as c1r,
+          t3.c2 as c2r
+        from t2 left join t3
+        on t2.c1 = t3.c1
+      ) tx
+      on t1.c1 = tx.c1 and t1.c2 > tx.c2r
+    batch_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r))
+        JOIN(type=LastJoin, condition=t1.c2 > tx.c2r, left_keys=(), right_keys=(), index_keys=(t1.c1))
+          DATA_PROVIDER(table=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r))
+              JOIN(type=LeftJoin, condition=, left_keys=(t2.c1), right_keys=(t3.c1), index_keys=)
+                DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                DATA_PROVIDER(table=t3)
+    expect:
+      order: c1
+      columns: ["c1 string", "c1l string", "c1r string", "c2r int"]
+      data: |
+        aa, aa, aa, 19
+        bb, bb, bb, 21
+        cc, NULL, NULL, NULL
+        dd, NULL, NULL, NULL
+  - id: 2
+    desc: last join to a left join subquery, index optimized with additional condition
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+          - ["cc",40,1000]
+          - ["dd",50,1000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa", 42, 2000]
+          - ["bb", 68, 3000]
+          - ["cc", 42, 4000]
+      - name: t3
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",19,13,3000]
+          - ["aa",21,13,4000]
+          - ["bb",34,131,3000]
+          - ["bb",21,131,4000]
+    sql: |
+      select
+        t1.c1,
+        tx.c1 as c1l,
+        tx.c1r,
+        tx.c2r
+      from t1 last join
+      (
+        select t2.c1 as c1,
+          t3.c1 as c1r,
+          t3.c2 as c2r
+        from t2 left join t3
+        on t2.c1 = t3.c1 and t2.c2 = 2 * t3.c2
+      ) tx
+      on t1.c1 = tx.c1
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r))
+        REQUEST_JOIN(type=LastJoin, condition=, left_keys=(), right_keys=(), index_keys=(t1.c1))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r))
+              REQUEST_JOIN(type=LeftJoin, condition=, left_keys=(t2.c2), right_keys=(2 * t3.c2), index_keys=(t2.c1))
+                DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, condition=, left_keys=(), right_keys=(), index_keys=(#4))
+            SIMPLE_PROJECT(sources=(#4 -> t1.c1))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r))
+                REQUEST_JOIN(type=LeftJoin, condition=, left_keys=(t2.c2), right_keys=(2 * t3.c2), index_keys=(t2.c1))
+                  DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                  DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    expect:
+      order: c1
+      columns: ["c1 string", "c1l string", "c1r string", "c2r int"]
+      data: |
+        aa, aa, aa, 21
+        bb, bb, bb, 34
+        cc, cc, NULL, NULL
+        dd, NULL, NULL, NULL
+  - id: 3
+    desc: last join to a left join subquery 2, index optimized with additional condition
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+          - ["cc",40,1000]
+          - ["dd",50,1000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa", 20, 2000]
+          - ["bb", 10, 3000]
+          - ["cc", 42, 4000]
+      - name: t3
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",19,13,3000]
+          - ["aa",21,13,4000]
+          - ["bb",34,131,3000]
+          - ["bb",21,131,4000]
+    sql: |
+      select
+        t1.c1,
+        tx.c1 as c1l,
+        tx.c1r,
+        tx.c2r
+      from t1 last join
+      (
+        select t2.c1 as c1,
+          t3.c1 as c1r,
+          t3.c2 as c2r
+        from t2 left join t3
+        on t2.c1 = t3.c1 and t2.c2 > t3.c2
+      ) tx
+      on t1.c1 = tx.c1
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r))
+        REQUEST_JOIN(type=LastJoin, condition=, left_keys=(), right_keys=(), index_keys=(t1.c1))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r))
+              REQUEST_JOIN(type=LeftJoin, condition=t2.c2 > t3.c2, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, condition=, left_keys=(), right_keys=(), index_keys=(#4))
+            SIMPLE_PROJECT(sources=(#4 -> t1.c1))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r))
+                REQUEST_JOIN(type=LeftJoin, condition=t2.c2 > t3.c2, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                  DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                  DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    expect:
+      order: c1
+      columns: ["c1 string", "c1l string", "c1r string", "c2r int"]
+      data: |
+        aa, aa, aa, 19
+        bb, bb, NULL, NULL
+        cc, cc, NULL, NULL
+        dd, NULL, NULL, NULL
+  - id: 4
+    desc: last join to two left join
+    # there is no restriction for multiple left joins, including request mode,
+    # but it may not high performance like multiple last joins
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+          - ["cc",40,1000]
+          - ["dd",50,1000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa", 20, 2000]
+          - ["bb", 10, 3000]
+          - ["cc", 42, 4000]
+      - name: t3
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",19,13,3000]
+          - ["aa",21,8, 4000]
+          - ["bb",34,131,3000]
+          - ["bb",21,131,4000]
+          - ["cc",27,100,5000]
+      - name: t4
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",19,14,3000]
+          - ["aa",21,13,4000]
+          - ["bb",34,1,3000]
+          - ["bb",21,132,4000]
+    sql: |
+      select
+        t1.c1,
+        tx.c1 as c1l,
+        tx.c1r,
+        tx.c2r,
+        tx.c3x
+      from t1 last join
+      (
+        select t2.c1 as c1,
+          t3.c1 as c1r,
+          t3.c2 as c2r,
+          t4.c3 as c3x
+        from t2 left outer join t3
+        on t2.c1 = t3.c1 and t2.c2 > t3.c2
+        left join t4
+        on t2.c1 = t4.c1 and t3.c3 < t4.c3
+      ) tx
+      on t1.c1 = tx.c1
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r, tx.c3x))
+        REQUEST_JOIN(type=LastJoin, condition=, left_keys=(), right_keys=(), index_keys=(t1.c1))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r, t4.c3 -> c3x))
+              REQUEST_JOIN(type=LeftJoin, condition=t3.c3 < t4.c3, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                REQUEST_JOIN(type=LeftJoin, condition=t2.c2 > t3.c2, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                  DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                  DATA_PROVIDER(type=Partition, table=t3, index=index1)
+                DATA_PROVIDER(type=Partition, table=t4, index=index1)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, tx.c1 -> c1l, tx.c1r, tx.c2r, tx.c3x))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, condition=, left_keys=(), right_keys=(), index_keys=(#4))
+            SIMPLE_PROJECT(sources=(#4 -> t1.c1))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(t2.c1, t3.c1 -> c1r, t3.c2 -> c2r, t4.c3 -> c3x))
+                REQUEST_JOIN(type=LeftJoin, condition=t3.c3 < t4.c3, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                  REQUEST_JOIN(type=LeftJoin, condition=t2.c2 > t3.c2, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                    DATA_PROVIDER(type=Partition, table=t2, index=index1)
+                    DATA_PROVIDER(type=Partition, table=t3, index=index1)
+                  DATA_PROVIDER(type=Partition, table=t4, index=index1)
+    expect:
+      order: c1
+      columns: ["c1 string", "c1l string", "c1r string", "c2r int", "c3x bigint"]
+      data: |
+        aa, aa, aa, 19, 14
+        bb, bb, NULL, NULL, NULL
+        cc, cc, cc, 27, NULL
+        dd, NULL, NULL, NULL, NULL
+  - id: 5
+    desc: simple left join
+    mode: request-unsupport
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+      - name: t2
+        columns: ["c2 int","c4 timestamp"]
+        indexs: ["index1:c2:c4"]
+        rows:
+          - [20,3000]
+          - [20,2000]
+    sql: |
+      select t1.c1 as id, t2.* from t1 left join t2
+      on t1.c2 = t2.c2
+    expect:
+      order: c1
+      columns: ["id string", "c2 int","c4 timestamp"]
+      data: |
+        aa, 20, 3000
+        aa, 20, 2000
+        bb, NULL, NULL
+  - id: 6
+    desc: lastjoin(leftjoin(filter<not optimized>, table))
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+          - ["cc",40,1000]
+          - ["dd",50,1000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp"]
+        indexs: ["index1:c1:c4", "index2:c2:c4"]
+        rows:
+          - ["bb",20, 1000]
+          - ["aa",30, 2000]
+          - ["bb",30, 3000]
+          - ["cc",40, 4000]
+          - ["dd",50, 5000]
+      - name: t3
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",19,13,3000]
+          - ["bb",34,131,3000]
+    sql: |
+      select
+        t1.c1,
+        t1.c2,
+        tx.*
+      from t1 last join
+      (
+        select t2.c1 as tx_0_c1,
+          t2.c2 as tx_0_c2,
+          t2.c4 as tx_0_c4,
+          t3.c2 as tx_1_c2,
+          t3.c3 as tx_1_c3
+        from (select * from t2 where c1 != 'dd') t2 left join t3
+        on t2.c1 = t3.c1
+      ) tx
+      order by tx.tx_0_c4
+      on t1.c2 = tx.tx_0_c2
+    request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, t1.c2, tx.tx_0_c1, tx.tx_0_c2, tx.tx_0_c4, tx.tx_1_c2, tx.tx_1_c3))
+        REQUEST_JOIN(type=LastJoin, right_sort=(ASC), condition=, left_keys=(), right_keys=(), index_keys=(t1.c2))
+          DATA_PROVIDER(request=t1)
+          RENAME(name=tx)
+            SIMPLE_PROJECT(sources=(t2.c1 -> tx_0_c1, t2.c2 -> tx_0_c2, t2.c4 -> tx_0_c4, t3.c2 -> tx_1_c2, t3.c3 -> tx_1_c3))
+              REQUEST_JOIN(type=LeftJoin, condition=, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                RENAME(name=t2)
+                  FILTER_BY(condition=c1 != dd, left_keys=, right_keys=, index_keys=)
+                    DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    expect:
+      order: c1
+      columns: ["c1 string", "c2 int", "tx_0_c1 string", "tx_0_c2 int", "tx_0_c4 timestamp", "tx_1_c2 int", "tx_1_c3 int64"]
+      data: |
+        aa, 20, bb, 20, 1000, 34, 131
+        bb, 30, bb, 30, 3000, 34, 131
+        cc, 40, cc, 40, 4000, NULL, NULL
+        dd, 50, NULL, NULL, NULL, NULL, NULL
+  - id: 7
+    desc: lastjoin(leftjoin(filter<optimized>, filter<not optimized>))
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+          - ["cc",40,1000]
+          - ["dd",50,1000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp"]
+        indexs: ["index1:c1:c4", "index2:c2:c4"]
+        rows:
+          - ["bb",20, 1000]
+          - ["aa",30, 2000]
+          - ["bb",30, 3000]
+          - ["cc",40, 4000]
+          - ["dd",50, 5000]
+      - name: t3
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",19,13,3000]
+          - ["bb",34,131,3000]
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, t1.c2, tx.tx_0_c1, tx.tx_0_c2, tx.tx_0_c4, tx.tx_1_c2, tx.tx_1_c3))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, right_sort=(ASC), condition=, left_keys=(#5), right_keys=(#8), index_keys=)
+            SIMPLE_PROJECT(sources=(#5 -> t1.c2))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(t2.c1 -> tx_0_c1, t2.c2 -> tx_0_c2, t2.c4 -> tx_0_c4, t3.c2 -> tx_1_c2, t3.c3 -> tx_1_c3))
+                REQUEST_JOIN(type=LeftJoin, condition=, left_keys=(), right_keys=(), index_keys=(t2.c1))
+                  RENAME(name=t2)
+                    FILTER_BY(condition=, left_keys=(), right_keys=(), index_keys=(30))
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                  RENAME(name=t3)
+                    FILTER_BY(condition=c2 > 20, left_keys=, right_keys=, index_keys=)
+                      DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    sql: |
+      select
+        t1.c1,
+        t1.c2,
+        tx.*
+      from t1 last join
+      (
+        select t2.c1 as tx_0_c1,
+          t2.c2 as tx_0_c2,
+          t2.c4 as tx_0_c4,
+          t3.c2 as tx_1_c2,
+          t3.c3 as tx_1_c3
+        from (select * from t2 where c2 = 30) t2 left join (select * from t3 where c2 > 20) t3
+        on t2.c1 = t3.c1
+      ) tx
+      order by tx.tx_0_c4
+      on t1.c2 = tx.tx_0_c2
+    request_plan: |
+    expect:
+      order: c1
+      columns: ["c1 string", "c2 int", "tx_0_c1 string", "tx_0_c2 int", "tx_0_c4 timestamp", "tx_1_c2 int", "tx_1_c3 int64"]
+      data: |
+        aa, 20, NULL, NULL, NULL, NULL, NULL
+        bb, 30, bb, 30, 3000, 34, 131
+        cc, 40, NULL, NULL, NULL, NULL, NULL
+        dd, 50, NULL, NULL, NULL, NULL, NULL
+  - id: 8
+    desc: lastjoin(leftjoin(filter<optimized>, filter<optimized>))
+    inputs:
+      - name: t1
+        columns: ["c1 string","c2 int","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",20,1000]
+          - ["bb",30,1000]
+          - ["cc",40,1000]
+      - name: t2
+        columns: ["c1 string", "c2 int", "c4 timestamp"]
+        indexs: ["index1:c1:c4", "index2:c2:c4"]
+        rows:
+          - ["bb",20, 1000]
+          - ["aa",20, 2000]
+          - ["bb",30, 3000]
+          - ["cc",40, 4000]
+      - name: t3
+        columns: ["c1 string","c2 int","c3 bigint","c4 timestamp"]
+        indexs: ["index1:c1:c4"]
+        rows:
+          - ["aa",19,13,3000]
+          - ["bb",34,131,3000]
+    sql: |
+      select
+        t1.c1,
+        t1.c2,
+        tx.*
+      from t1 last join
+      (
+        select t2.c1 as tx_0_c1,
+          t2.c2 as tx_0_c2,
+          t2.c4 as tx_0_c4,
+          t3.c2 as tx_1_c2,
+          t3.c3 as tx_1_c3
+        from (select * from t2 where c2 = 20) t2 left join (select * from t3 where c1 = 'bb') t3
+        on t2.c1 = t3.c1
+      ) tx
+      on t1.c2 = tx.tx_0_c2 and not isnull(tx.tx_1_c2)
+    cluster_request_plan: |
+      SIMPLE_PROJECT(sources=(t1.c1, t1.c2, tx.tx_0_c1, tx.tx_0_c2, tx.tx_0_c4, tx.tx_1_c2, tx.tx_1_c3))
+        REQUEST_JOIN(type=kJoinTypeConcat)
+          DATA_PROVIDER(request=t1)
+          REQUEST_JOIN(OUTPUT_RIGHT_ONLY, type=LastJoin, condition=NOT isnull(#89), left_keys=(#5), right_keys=(#8), index_keys=)
+            SIMPLE_PROJECT(sources=(#5 -> t1.c2))
+              DATA_PROVIDER(request=t1)
+            RENAME(name=tx)
+              SIMPLE_PROJECT(sources=(t2.c1 -> tx_0_c1, t2.c2 -> tx_0_c2, t2.c4 -> tx_0_c4, t3.c2 -> tx_1_c2, t3.c3 -> tx_1_c3))
+                REQUEST_JOIN(type=LeftJoin, condition=, left_keys=(t2.c1), right_keys=(t3.c1), index_keys=)
+                  RENAME(name=t2)
+                    FILTER_BY(condition=, left_keys=(), right_keys=(), index_keys=(20))
+                      DATA_PROVIDER(type=Partition, table=t2, index=index2)
+                  RENAME(name=t3)
+                    FILTER_BY(condition=, left_keys=(), right_keys=(), index_keys=(bb))
+                      DATA_PROVIDER(type=Partition, table=t3, index=index1)
+    expect:
+      order: c1
+      columns: ["c1 string", "c2 int", "tx_0_c1 string", "tx_0_c2 int", "tx_0_c4 timestamp", "tx_1_c2 int", "tx_1_c3 int64"]
+      data: |
+        aa, 20, bb, 20, 1000, 34, 131
+        bb, 30, NULL, NULL, NULL, NULL, NULL
+        cc, 40, NULL, NULL, NULL, NULL, NULL
diff --git a/hybridse/examples/toydb/src/storage/table_iterator.cc b/hybridse/examples/toydb/src/storage/table_iterator.cc
index 45561cd52a1..8ea4a3e0349 100644
--- a/hybridse/examples/toydb/src/storage/table_iterator.cc
+++ b/hybridse/examples/toydb/src/storage/table_iterator.cc
@@ -62,7 +62,7 @@ WindowTableIterator::WindowTableIterator(Segment*** segments, uint32_t seg_cnt,
       seg_idx_(0),
       pk_it_(),
       table_(table) {
-    GoToStart();
+    SeekToFirst();
 }
 
 WindowTableIterator::~WindowTableIterator() {}
@@ -80,7 +80,7 @@ void WindowTableIterator::Seek(const std::string& key) {
     pk_it_->Seek(pk);
 }
 
-void WindowTableIterator::SeekToFirst() {}
+void WindowTableIterator::SeekToFirst() { GoToStart(); }
 
 std::unique_ptr<RowIterator> WindowTableIterator::GetValue() {
     if (!pk_it_)
diff --git a/hybridse/examples/toydb/src/tablet/tablet_catalog.cc b/hybridse/examples/toydb/src/tablet/tablet_catalog.cc
index 71c2f34f407..81764df9da6 100644
--- a/hybridse/examples/toydb/src/tablet/tablet_catalog.cc
+++ b/hybridse/examples/toydb/src/tablet/tablet_catalog.cc
@@ -19,7 +19,6 @@
 #include <memory>
 #include <string>
 #include <utility>
-#include "codec/list_iterator_codec.h"
 #include "glog/logging.h"
 #include "storage/table_iterator.h"
 
@@ -99,13 +98,6 @@ bool TabletTableHandler::Init() {
     return true;
 }
 
-std::unique_ptr<RowIterator> TabletTableHandler::GetIterator() {
-    std::unique_ptr<storage::FullTableIterator> it(
-        new storage::FullTableIterator(table_->GetSegments(),
-                                       table_->GetSegCnt(), table_));
-    return std::move(it);
-}
-
 std::unique_ptr<WindowIterator> TabletTableHandler::GetWindowIterator(
     const std::string& idx_name) {
     auto iter = index_hint_.find(idx_name);
diff --git a/hybridse/examples/toydb/src/tablet/tablet_catalog.h b/hybridse/examples/toydb/src/tablet/tablet_catalog.h
index dd5bea22c51..9d2e8b907e5 100644
--- a/hybridse/examples/toydb/src/tablet/tablet_catalog.h
+++ b/hybridse/examples/toydb/src/tablet/tablet_catalog.h
@@ -21,7 +21,6 @@
 #include <memory>
 #include <string>
 #include <vector>
-#include "base/spin_lock.h"
 #include "storage/table_impl.h"
 #include "vm/catalog.h"
 
@@ -77,7 +76,7 @@ class TabletSegmentHandler : public TableHandler {
     std::string key_;
 };
 
-class TabletPartitionHandler
+class TabletPartitionHandler final
     : public PartitionHandler,
       public std::enable_shared_from_this<PartitionHandler> {
  public:
@@ -89,6 +88,8 @@ class TabletPartitionHandler
 
     ~TabletPartitionHandler() {}
 
+    RowIterator* GetRawIterator() override { return table_handler_->GetRawIterator(); }
+
     const OrderType GetOrderType() const override { return OrderType::kDescOrder; }
 
     const vm::Schema* GetSchema() override { return table_handler_->GetSchema(); }
@@ -118,7 +119,7 @@ class TabletPartitionHandler
     vm::IndexHint index_hint_;
 };
 
-class TabletTableHandler
+class TabletTableHandler final
     : public vm::TableHandler,
       public std::enable_shared_from_this<vm::TableHandler> {
  public:
@@ -134,26 +135,23 @@ class TabletTableHandler
 
     bool Init();
 
-    inline const vm::Schema* GetSchema() { return &schema_; }
+    const vm::Schema* GetSchema() override { return &schema_; }
 
-    inline const std::string& GetName() { return name_; }
+    const std::string& GetName() override { return name_; }
 
-    inline const std::string& GetDatabase() { return db_; }
+    const std::string& GetDatabase() override { return db_; }
 
-    inline const vm::Types& GetTypes() { return types_; }
+    const vm::Types& GetTypes() override { return types_; }
 
-    inline const vm::IndexHint& GetIndex() { return index_hint_; }
+    const vm::IndexHint& GetIndex() override { return index_hint_; }
 
     const Row Get(int32_t pos);
 
-    inline std::shared_ptr<storage::Table> GetTable() { return table_; }
-    std::unique_ptr<RowIterator> GetIterator();
+    std::shared_ptr<storage::Table> GetTable() { return table_; }
     RowIterator* GetRawIterator() override;
-    std::unique_ptr<codec::WindowIterator> GetWindowIterator(
-        const std::string& idx_name);
+    std::unique_ptr<codec::WindowIterator> GetWindowIterator(const std::string& idx_name) override;
 
-    virtual std::shared_ptr<PartitionHandler> GetPartition(
-        const std::string& index_name) {
+    std::shared_ptr<PartitionHandler> GetPartition(const std::string& index_name) override {
         if (index_hint_.find(index_name) == index_hint_.cend()) {
             LOG(WARNING)
                 << "fail to get partition for tablet table handler, index name "
@@ -166,12 +164,12 @@ class TabletTableHandler
     const std::string GetHandlerTypeName() override {
         return "TabletTableHandler";
     }
-    virtual std::shared_ptr<hybridse::vm::Tablet> GetTablet(
-        const std::string& index_name, const std::string& pk) {
+    std::shared_ptr<hybridse::vm::Tablet> GetTablet(const std::string& index_name,
+                                                            const std::string& pk) override {
         return tablet_;
     }
-    virtual std::shared_ptr<hybridse::vm::Tablet> GetTablet(
-        const std::string& index_name, const std::vector<std::string>& pks) {
+    std::shared_ptr<hybridse::vm::Tablet> GetTablet(const std::string& index_name,
+                                                    const std::vector<std::string>& pks) override {
         return tablet_;
     }
 
diff --git a/hybridse/include/codec/fe_row_codec.h b/hybridse/include/codec/fe_row_codec.h
index 1e0e5b1badc..0e0b153f5a5 100644
--- a/hybridse/include/codec/fe_row_codec.h
+++ b/hybridse/include/codec/fe_row_codec.h
@@ -157,6 +157,9 @@ class RowView {
     const Schema* GetSchema() const { return &schema_; }
 
     inline bool IsNULL(const int8_t* row, uint32_t idx) const {
+        if (row == nullptr) {
+            return true;
+        }
         const int8_t* ptr = row + HEADER_LENGTH + (idx >> 3);
         return *(reinterpret_cast<const uint8_t*>(ptr)) & (1 << (idx & 0x07));
     }
diff --git a/hybridse/include/codec/row_list.h b/hybridse/include/codec/row_list.h
index cfc83fae6a1..f601b207b9c 100644
--- a/hybridse/include/codec/row_list.h
+++ b/hybridse/include/codec/row_list.h
@@ -65,7 +65,13 @@ class ListV {
     ListV() {}
     virtual ~ListV() {}
     /// \brief Return the const iterator
-    virtual std::unique_ptr<ConstIterator<uint64_t, V>> GetIterator() = 0;
+    virtual std::unique_ptr<ConstIterator<uint64_t, V>> GetIterator() {
+        auto raw = GetRawIterator();
+        if (raw == nullptr) {
+            return {};
+        }
+        return std::unique_ptr<ConstIterator<uint64_t, V>>(raw);
+    }
 
     /// \brief Return the const iterator raw pointer
     virtual ConstIterator<uint64_t, V> *GetRawIterator() = 0;
diff --git a/hybridse/include/node/node_enum.h b/hybridse/include/node/node_enum.h
index b903eaafdd5..fc1dde18b07 100644
--- a/hybridse/include/node/node_enum.h
+++ b/hybridse/include/node/node_enum.h
@@ -252,7 +252,7 @@ enum JoinType {
     kJoinTypeRight,
     kJoinTypeInner,
     kJoinTypeConcat,
-    kJoinTypeComma
+    kJoinTypeCross,  // AKA commma join
 };
 
 enum UnionType { kUnionTypeDistinct, kUnionTypeAll };
diff --git a/hybridse/include/vm/catalog.h b/hybridse/include/vm/catalog.h
index 70a422f8924..4bd007645bd 100644
--- a/hybridse/include/vm/catalog.h
+++ b/hybridse/include/vm/catalog.h
@@ -225,8 +225,7 @@ class TableHandler : public DataHandler {
 
     /// Return WindowIterator
     /// so that user can use it to iterate datasets segment by segment.
-    virtual std::unique_ptr<WindowIterator> GetWindowIterator(
-        const std::string& idx_name) = 0;
+    virtual std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) { return nullptr; }
 
     /// Return the HandlerType of the dataset.
     /// Return HandlerType::kTableHandler by default
@@ -255,8 +254,7 @@ class TableHandler : public DataHandler {
 
     /// Return Tablet binding to specify index and keys.
     /// Return `null` by default.
-    virtual std::shared_ptr<Tablet> GetTablet(
-        const std::string& index_name, const std::vector<std::string>& pks) {
+    virtual std::shared_ptr<Tablet> GetTablet(const std::string& index_name, const std::vector<std::string>& pks) {
         return std::shared_ptr<Tablet>();
     }
 };
@@ -287,27 +285,19 @@ class ErrorTableHandler : public TableHandler {
     /// Return empty column Types.
     const Types& GetTypes() override { return types_; }
     /// Return empty table Schema.
-    inline const Schema* GetSchema() override { return schema_; }
+    const Schema* GetSchema() override { return schema_; }
     /// Return empty table name
-    inline const std::string& GetName() override { return table_name_; }
+    const std::string& GetName() override { return table_name_; }
     /// Return empty indexn information
-    inline const IndexHint& GetIndex() override { return index_hint_; }
+    const IndexHint& GetIndex() override { return index_hint_; }
     /// Return name of database
-    inline const std::string& GetDatabase() override { return db_; }
+    const std::string& GetDatabase() override { return db_; }
 
     /// Return null iterator
-    std::unique_ptr<RowIterator> GetIterator() {
-        return std::unique_ptr<RowIterator>();
-    }
-    /// Return null iterator
-    RowIterator* GetRawIterator() { return nullptr; }
-    /// Return null window iterator
-    std::unique_ptr<WindowIterator> GetWindowIterator(
-        const std::string& idx_name) {
-        return std::unique_ptr<WindowIterator>();
-    }
+    RowIterator* GetRawIterator() override { return nullptr; }
+
     /// Return empty row
-    virtual Row At(uint64_t pos) { return Row(); }
+    Row At(uint64_t pos) override { return Row(); }
 
     /// Return 0
     const uint64_t GetCount() override { return 0; }
@@ -318,7 +308,7 @@ class ErrorTableHandler : public TableHandler {
     }
 
     /// Return status
-    virtual base::Status GetStatus() { return status_; }
+    base::Status GetStatus() override { return status_; }
 
  protected:
     base::Status status_;
@@ -341,16 +331,11 @@ class PartitionHandler : public TableHandler {
     PartitionHandler() : TableHandler() {}
     ~PartitionHandler() {}
 
-    /// Return the iterator of row iterator.
-    /// Return null by default
-    virtual std::unique_ptr<RowIterator> GetIterator() {
-        return std::unique_ptr<RowIterator>();
-    }
-    /// Return the iterator of row iterator
-    /// Return null by default
-    RowIterator* GetRawIterator() { return nullptr; }
-    virtual std::unique_ptr<WindowIterator> GetWindowIterator(
-        const std::string& idx_name) {
+    // Return the iterator of row iterator
+    // Return null by default
+    RowIterator* GetRawIterator() override { return nullptr; }
+
+    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override {
         return std::unique_ptr<WindowIterator>();
     }
 
@@ -362,18 +347,15 @@ class PartitionHandler : public TableHandler {
     const HandlerType GetHandlerType() override { return kPartitionHandler; }
 
     /// Return empty row, cause partition dataset does not support At operation.
-    virtual Row At(uint64_t pos) { return Row(); }
+    // virtual Row At(uint64_t pos) { return Row(); }
 
     /// Return Return table handler of specific segment binding to given key.
     /// Return `null` by default.
-    virtual std::shared_ptr<TableHandler> GetSegment(const std::string& key) {
-        return std::shared_ptr<TableHandler>();
-    }
+    virtual std::shared_ptr<TableHandler> GetSegment(const std::string& key) = 0;
 
     /// Return a sequence of table handles of specify segments binding to given
     /// keys set.
-    virtual std::vector<std::shared_ptr<TableHandler>> GetSegments(
-        const std::vector<std::string>& keys) {
+    virtual std::vector<std::shared_ptr<TableHandler>> GetSegments(const std::vector<std::string>& keys) {
         std::vector<std::shared_ptr<TableHandler>> segments;
         for (auto key : keys) {
             segments.push_back(GetSegment(key));
@@ -384,9 +366,6 @@ class PartitionHandler : public TableHandler {
     const std::string GetHandlerTypeName() override {
         return "PartitionHandler";
     }
-    /// Return order type of the dataset,
-    /// and return kNoneOrder by default.
-    const OrderType GetOrderType() const { return kNoneOrder; }
 };
 
 /// \brief A wrapper of table handler which is used as a asynchronous row
diff --git a/hybridse/include/vm/mem_catalog.h b/hybridse/include/vm/mem_catalog.h
index dffb17a8af1..6237edd1d43 100644
--- a/hybridse/include/vm/mem_catalog.h
+++ b/hybridse/include/vm/mem_catalog.h
@@ -64,11 +64,11 @@ class MemTimeTableIterator : public RowIterator {
     MemTimeTableIterator(const MemTimeTable* table, const vm::Schema* schema,
                          int32_t start, int32_t end);
     ~MemTimeTableIterator();
-    void Seek(const uint64_t& ts);
-    void SeekToFirst();
-    const uint64_t& GetKey() const;
-    void Next();
-    bool Valid() const;
+    void Seek(const uint64_t& ts) override;
+    void SeekToFirst() override;
+    const uint64_t& GetKey() const override;
+    void Next() override;
+    bool Valid() const override;
     const Row& GetValue() override;
     bool IsSeekable() const override;
 
@@ -86,12 +86,12 @@ class MemTableIterator : public RowIterator {
     MemTableIterator(const MemTable* table, const vm::Schema* schema,
                      int32_t start, int32_t end);
     ~MemTableIterator();
-    void Seek(const uint64_t& ts);
-    void SeekToFirst();
-    const uint64_t& GetKey() const;
-    const Row& GetValue();
-    void Next();
-    bool Valid() const;
+    void Seek(const uint64_t& ts) override;
+    void SeekToFirst() override;
+    const uint64_t& GetKey() const override;
+    const Row& GetValue() override;
+    void Next() override;
+    bool Valid() const override;
     bool IsSeekable() const override;
 
  private:
@@ -113,7 +113,6 @@ class MemWindowIterator : public WindowIterator {
     void SeekToFirst();
     void Next();
     bool Valid();
-    std::unique_ptr<RowIterator> GetValue();
     RowIterator* GetRawValue();
     const Row GetKey();
 
@@ -155,24 +154,21 @@ class MemTableHandler : public TableHandler {
     ~MemTableHandler() override;
 
     const Types& GetTypes() override { return types_; }
-    inline const Schema* GetSchema() { return schema_; }
-    inline const std::string& GetName() { return table_name_; }
-    inline const IndexHint& GetIndex() { return index_hint_; }
-    inline const std::string& GetDatabase() { return db_; }
+    const Schema* GetSchema() override { return schema_; }
+    const std::string& GetName() override { return table_name_; }
+    const IndexHint& GetIndex() override { return index_hint_; }
+    const std::string& GetDatabase() override { return db_; }
 
-    std::unique_ptr<RowIterator> GetIterator() override;
     RowIterator* GetRawIterator() override;
-    std::unique_ptr<WindowIterator> GetWindowIterator(
-        const std::string& idx_name);
 
     void AddRow(const Row& row);
     void Reverse();
-    virtual const uint64_t GetCount() { return table_.size(); }
-    virtual Row At(uint64_t pos) {
+    const uint64_t GetCount() override { return table_.size(); }
+    Row At(uint64_t pos) override {
         return pos < table_.size() ? table_.at(pos) : Row();
     }
 
-    const OrderType GetOrderType() const { return order_type_; }
+    const OrderType GetOrderType() const override { return order_type_; }
     void SetOrderType(const OrderType order_type) { order_type_ = order_type; }
     const std::string GetHandlerTypeName() override {
         return "MemTableHandler";
@@ -198,14 +194,11 @@ class MemTimeTableHandler : public TableHandler {
                         const Schema* schema);
     const Types& GetTypes() override;
     ~MemTimeTableHandler() override;
-    inline const Schema* GetSchema() { return schema_; }
-    inline const std::string& GetName() { return table_name_; }
-    inline const IndexHint& GetIndex() { return index_hint_; }
-    std::unique_ptr<RowIterator> GetIterator();
-    RowIterator* GetRawIterator();
-    inline const std::string& GetDatabase() { return db_; }
-    std::unique_ptr<WindowIterator> GetWindowIterator(
-        const std::string& idx_name);
+    const Schema* GetSchema() override { return schema_; }
+    const std::string& GetName() override { return table_name_; }
+    const IndexHint& GetIndex() override { return index_hint_; }
+    RowIterator* GetRawIterator() override;
+    const std::string& GetDatabase() override { return db_; }
     void AddRow(const uint64_t key, const Row& v);
     void AddFrontRow(const uint64_t key, const Row& v);
     void PopBackRow();
@@ -218,12 +211,12 @@ class MemTimeTableHandler : public TableHandler {
     }
     void Sort(const bool is_asc);
     void Reverse();
-    virtual const uint64_t GetCount() { return table_.size(); }
-    virtual Row At(uint64_t pos) {
+    const uint64_t GetCount() override { return table_.size(); }
+    Row At(uint64_t pos) override {
         return pos < table_.size() ? table_.at(pos).second : Row();
     }
     void SetOrderType(const OrderType order_type) { order_type_ = order_type; }
-    const OrderType GetOrderType() const { return order_type_; }
+    const OrderType GetOrderType() const override { return order_type_; }
     const std::string GetHandlerTypeName() override {
         return "MemTimeTableHandler";
     }
@@ -252,21 +245,11 @@ class Window : public MemTimeTableHandler {
         return std::make_unique<vm::MemTimeTableIterator>(&table_, schema_);
     }
 
-    RowIterator* GetRawIterator() {
-        return new vm::MemTimeTableIterator(&table_, schema_);
-    }
+    RowIterator* GetRawIterator() override { return new vm::MemTimeTableIterator(&table_, schema_); }
     virtual bool BufferData(uint64_t key, const Row& row) = 0;
     virtual void PopBackData() { PopBackRow(); }
     virtual void PopFrontData() = 0;
 
-    virtual const uint64_t GetCount() { return table_.size(); }
-    virtual Row At(uint64_t pos) {
-        if (pos >= table_.size()) {
-            return Row();
-        } else {
-            return table_[pos].second;
-        }
-    }
     const std::string GetHandlerTypeName() override { return "Window"; }
 
     bool instance_not_in_window() const { return instance_not_in_window_; }
@@ -320,7 +303,7 @@ class WindowRange {
         return WindowRange(Window::kFrameRowsMergeRowsRange, start_offset, 0,
                            rows_preceding, max_size);
     }
-    inline const WindowPositionStatus GetWindowPositionStatus(
+    const WindowPositionStatus GetWindowPositionStatus(
         bool out_of_rows, bool before_window, bool exceed_window) const {
         switch (frame_type_) {
             case Window::WindowFrameType::kFrameRows:
@@ -529,7 +512,7 @@ class CurrentHistoryWindow : public HistoryWindow {
 
     void PopFrontData() override { PopFrontRow(); }
 
-    bool BufferData(uint64_t key, const Row& row) {
+    bool BufferData(uint64_t key, const Row& row) override {
         if (!table_.empty() && GetFrontRow().first > key) {
             DLOG(WARNING) << "Fail BufferData: buffer key less than latest key";
             return false;
@@ -558,34 +541,25 @@ class MemSegmentHandler : public TableHandler {
 
     virtual ~MemSegmentHandler() {}
 
-    inline const vm::Schema* GetSchema() {
+    const vm::Schema* GetSchema() override {
         return partition_hander_->GetSchema();
     }
 
-    inline const std::string& GetName() { return partition_hander_->GetName(); }
+    const std::string& GetName() override { return partition_hander_->GetName(); }
 
-    inline const std::string& GetDatabase() {
+    const std::string& GetDatabase() override {
         return partition_hander_->GetDatabase();
     }
 
-    inline const vm::Types& GetTypes() { return partition_hander_->GetTypes(); }
+    const vm::Types& GetTypes() override { return partition_hander_->GetTypes(); }
 
-    inline const vm::IndexHint& GetIndex() {
+    const vm::IndexHint& GetIndex() override {
         return partition_hander_->GetIndex();
     }
 
-    const OrderType GetOrderType() const {
+    const OrderType GetOrderType() const override {
         return partition_hander_->GetOrderType();
     }
-    std::unique_ptr<vm::RowIterator> GetIterator() {
-        auto iter = partition_hander_->GetWindowIterator();
-        if (iter) {
-            iter->Seek(key_);
-            return iter->Valid() ? iter->GetValue()
-                                 : std::unique_ptr<RowIterator>();
-        }
-        return std::unique_ptr<RowIterator>();
-    }
     RowIterator* GetRawIterator() override {
         auto iter = partition_hander_->GetWindowIterator();
         if (iter) {
@@ -594,12 +568,11 @@ class MemSegmentHandler : public TableHandler {
         }
         return nullptr;
     }
-    std::unique_ptr<vm::WindowIterator> GetWindowIterator(
-        const std::string& idx_name) {
+    std::unique_ptr<vm::WindowIterator> GetWindowIterator(const std::string& idx_name) override {
         LOG(WARNING) << "SegmentHandler can't support window iterator";
         return std::unique_ptr<WindowIterator>();
     }
-    virtual const uint64_t GetCount() {
+    const uint64_t GetCount() override {
         auto iter = GetIterator();
         if (!iter) {
             return 0;
@@ -632,9 +605,7 @@ class MemSegmentHandler : public TableHandler {
     std::string key_;
 };
 
-class MemPartitionHandler
-    : public PartitionHandler,
-      public std::enable_shared_from_this<PartitionHandler> {
+class MemPartitionHandler : public PartitionHandler, public std::enable_shared_from_this<PartitionHandler> {
  public:
     MemPartitionHandler();
     explicit MemPartitionHandler(const Schema* schema);
@@ -647,18 +618,19 @@ class MemPartitionHandler
     const Schema* GetSchema() override;
     const std::string& GetName() override;
     const std::string& GetDatabase() override;
-    virtual std::unique_ptr<WindowIterator> GetWindowIterator();
+    RowIterator* GetRawIterator() override { return nullptr; }
+    std::unique_ptr<WindowIterator> GetWindowIterator() override;
     bool AddRow(const std::string& key, uint64_t ts, const Row& row);
     void Sort(const bool is_asc);
     void Reverse();
     void Print();
-    virtual const uint64_t GetCount() { return partitions_.size(); }
-    virtual std::shared_ptr<TableHandler> GetSegment(const std::string& key) {
+    const uint64_t GetCount() override { return partitions_.size(); }
+    std::shared_ptr<TableHandler> GetSegment(const std::string& key) override {
         return std::shared_ptr<MemSegmentHandler>(
             new MemSegmentHandler(shared_from_this(), key));
     }
     void SetOrderType(const OrderType order_type) { order_type_ = order_type; }
-    const OrderType GetOrderType() const { return order_type_; }
+    const OrderType GetOrderType() const override { return order_type_; }
     const std::string GetHandlerTypeName() override {
         return "MemPartitionHandler";
     }
@@ -691,12 +663,6 @@ class ConcatTableHandler : public MemTimeTableHandler {
         status_ = SyncValue();
         return MemTimeTableHandler::At(pos);
     }
-    std::unique_ptr<RowIterator> GetIterator() override {
-        if (status_.isRunning()) {
-            status_ = SyncValue();
-        }
-        return MemTimeTableHandler::GetIterator();
-    }
     RowIterator* GetRawIterator() override {
         if (status_.isRunning()) {
             status_ = SyncValue();
@@ -756,11 +722,11 @@ class MemCatalog : public Catalog {
 
     bool Init();
 
-    std::shared_ptr<type::Database> GetDatabase(const std::string& db) {
+    std::shared_ptr<type::Database> GetDatabase(const std::string& db) override {
         return dbs_[db];
     }
     std::shared_ptr<TableHandler> GetTable(const std::string& db,
-                                           const std::string& table_name) {
+                                           const std::string& table_name) override {
         return tables_[db][table_name];
     }
     bool IndexSupport() override { return true; }
@@ -782,17 +748,11 @@ class RequestUnionTableHandler : public TableHandler {
         : request_ts_(request_ts), request_row_(request_row), window_(window) {}
     ~RequestUnionTableHandler() {}
 
-    std::unique_ptr<RowIterator> GetIterator() override {
-        return std::unique_ptr<RowIterator>(GetRawIterator());
-    }
     RowIterator* GetRawIterator() override;
 
     const Types& GetTypes() override { return window_->GetTypes(); }
     const IndexHint& GetIndex() override { return window_->GetIndex(); }
-    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string&) {
-        return nullptr;
-    }
-    const OrderType GetOrderType() const { return window_->GetOrderType(); }
+    const OrderType GetOrderType() const override { return window_->GetOrderType(); }
     const Schema* GetSchema() override { return window_->GetSchema(); }
     const std::string& GetName() override { return window_->GetName(); }
     const std::string& GetDatabase() override { return window_->GetDatabase(); }
diff --git a/hybridse/include/vm/physical_op.h b/hybridse/include/vm/physical_op.h
index 0701bdda3a6..dd51c73bfd1 100644
--- a/hybridse/include/vm/physical_op.h
+++ b/hybridse/include/vm/physical_op.h
@@ -731,6 +731,7 @@ class PhysicalConstProjectNode : public PhysicalOpNode {
  public:
     explicit PhysicalConstProjectNode(const ColumnProjects &project)
         : PhysicalOpNode(kPhysicalOpConstProject, true), project_(project) {
+        output_type_ = kSchemaTypeRow;
         fn_infos_.push_back(&project_.fn_info());
     }
     virtual ~PhysicalConstProjectNode() {}
@@ -1183,23 +1184,25 @@ class PhysicalWindowAggrerationNode : public PhysicalProjectNode {
 
 class PhysicalJoinNode : public PhysicalBinaryNode {
  public:
+    static constexpr PhysicalOpType kConcreteNodeKind = kPhysicalOpJoin;
+
     PhysicalJoinNode(PhysicalOpNode *left, PhysicalOpNode *right,
                      const node::JoinType join_type)
-        : PhysicalBinaryNode(left, right, kPhysicalOpJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join_type),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
     }
     PhysicalJoinNode(PhysicalOpNode *left, PhysicalOpNode *right,
                      const node::JoinType join_type,
                      const node::OrderByNode *orders,
                      const node::ExprNode *condition)
-        : PhysicalBinaryNode(left, right, kPhysicalOpJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join_type, orders, condition),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
 
         RegisterFunctionInfo();
     }
@@ -1208,11 +1211,11 @@ class PhysicalJoinNode : public PhysicalBinaryNode {
                      const node::ExprNode *condition,
                      const node::ExprListNode *left_keys,
                      const node::ExprListNode *right_keys)
-        : PhysicalBinaryNode(left, right, kPhysicalOpJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join_type, condition, left_keys, right_keys),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
 
         RegisterFunctionInfo();
     }
@@ -1222,31 +1225,31 @@ class PhysicalJoinNode : public PhysicalBinaryNode {
                      const node::ExprNode *condition,
                      const node::ExprListNode *left_keys,
                      const node::ExprListNode *right_keys)
-        : PhysicalBinaryNode(left, right, kPhysicalOpJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join_type, orders, condition, left_keys, right_keys),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
 
         RegisterFunctionInfo();
     }
     PhysicalJoinNode(PhysicalOpNode *left, PhysicalOpNode *right,
                      const Join &join)
-        : PhysicalBinaryNode(left, right, kPhysicalOpJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
 
         RegisterFunctionInfo();
     }
     PhysicalJoinNode(PhysicalOpNode *left, PhysicalOpNode *right,
                      const Join &join, const bool output_right_only)
-        : PhysicalBinaryNode(left, right, kPhysicalOpJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join),
           joined_schemas_ctx_(this),
           output_right_only_(output_right_only) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
 
         RegisterFunctionInfo();
     }
@@ -1275,37 +1278,59 @@ class PhysicalJoinNode : public PhysicalBinaryNode {
     Join join_;
     SchemasContext joined_schemas_ctx_;
     const bool output_right_only_;
+
+ private:
+    void InitOuptput() {
+        switch (join_.join_type_) {
+            case node::kJoinTypeLast:
+            case node::kJoinTypeConcat: {
+                output_type_ = GetProducer(0)->GetOutputType();
+                break;
+            }
+            default: {
+                // standard SQL JOINs, always treat as a table output
+                if (GetProducer(0)->GetOutputType() == kSchemaTypeGroup) {
+                    output_type_ = kSchemaTypeGroup;
+                } else {
+                    output_type_ = kSchemaTypeTable;
+                }
+                break;
+            }
+        }
+    }
 };
 
 class PhysicalRequestJoinNode : public PhysicalBinaryNode {
  public:
+    static constexpr PhysicalOpType kConcreteNodeKind = kPhysicalOpRequestJoin;
+
     PhysicalRequestJoinNode(PhysicalOpNode *left, PhysicalOpNode *right,
                             const node::JoinType join_type)
-        : PhysicalBinaryNode(left, right, kPhysicalOpRequestJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join_type),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
         RegisterFunctionInfo();
     }
     PhysicalRequestJoinNode(PhysicalOpNode *left, PhysicalOpNode *right,
                             const node::JoinType join_type,
                             const node::OrderByNode *orders,
                             const node::ExprNode *condition)
-        : PhysicalBinaryNode(left, right, kPhysicalOpRequestJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join_type, orders, condition),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
         RegisterFunctionInfo();
     }
     PhysicalRequestJoinNode(PhysicalOpNode *left, PhysicalOpNode *right,
                             const Join &join, const bool output_right_only)
-        : PhysicalBinaryNode(left, right, kPhysicalOpRequestJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join),
           joined_schemas_ctx_(this),
           output_right_only_(output_right_only) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
         RegisterFunctionInfo();
     }
 
@@ -1315,11 +1340,11 @@ class PhysicalRequestJoinNode : public PhysicalBinaryNode {
                             const node::ExprNode *condition,
                             const node::ExprListNode *left_keys,
                             const node::ExprListNode *right_keys)
-        : PhysicalBinaryNode(left, right, kPhysicalOpRequestJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join_type, condition, left_keys, right_keys),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
         RegisterFunctionInfo();
     }
     PhysicalRequestJoinNode(PhysicalOpNode *left, PhysicalOpNode *right,
@@ -1328,11 +1353,11 @@ class PhysicalRequestJoinNode : public PhysicalBinaryNode {
                             const node::ExprNode *condition,
                             const node::ExprListNode *left_keys,
                             const node::ExprListNode *right_keys)
-        : PhysicalBinaryNode(left, right, kPhysicalOpRequestJoin, false),
+        : PhysicalBinaryNode(left, right, kConcreteNodeKind, false),
           join_(join_type, orders, condition, left_keys, right_keys),
           joined_schemas_ctx_(this),
           output_right_only_(false) {
-        output_type_ = left->GetOutputType();
+        InitOuptput();
         RegisterFunctionInfo();
     }
 
@@ -1363,6 +1388,26 @@ class PhysicalRequestJoinNode : public PhysicalBinaryNode {
     Join join_;
     SchemasContext joined_schemas_ctx_;
     const bool output_right_only_;
+
+ private:
+    void InitOuptput() {
+        switch (join_.join_type_) {
+            case node::kJoinTypeLast:
+            case node::kJoinTypeConcat: {
+                output_type_ = GetProducer(0)->GetOutputType();
+                break;
+            }
+            default: {
+                // standard SQL JOINs, always treat as a table output
+                if (GetProducer(0)->GetOutputType() == kSchemaTypeGroup) {
+                    output_type_ = kSchemaTypeGroup;
+                } else {
+                    output_type_ = kSchemaTypeTable;
+                }
+                break;
+            }
+        }
+    }
 };
 
 class PhysicalUnionNode : public PhysicalBinaryNode {
@@ -1633,14 +1678,22 @@ class PhysicalFilterNode : public PhysicalUnaryNode {
  public:
     PhysicalFilterNode(PhysicalOpNode *node, const node::ExprNode *condition)
         : PhysicalUnaryNode(node, kPhysicalOpFilter, true), filter_(condition) {
-        output_type_ = node->GetOutputType();
+        if (node->GetOutputType() == kSchemaTypeGroup && filter_.index_key_.ValidKey()) {
+            output_type_ = kSchemaTypeTable;
+        } else {
+            output_type_ = node->GetOutputType();
+        }
 
         fn_infos_.push_back(&filter_.condition_.fn_info());
         fn_infos_.push_back(&filter_.index_key_.fn_info());
     }
     PhysicalFilterNode(PhysicalOpNode *node, Filter filter)
         : PhysicalUnaryNode(node, kPhysicalOpFilter, true), filter_(filter) {
-        output_type_ = node->GetOutputType();
+        if (node->GetOutputType() == kSchemaTypeGroup && filter_.index_key_.ValidKey()) {
+            output_type_ = kSchemaTypeTable;
+        } else {
+            output_type_ = node->GetOutputType();
+        }
 
         fn_infos_.push_back(&filter_.condition_.fn_info());
         fn_infos_.push_back(&filter_.index_key_.fn_info());
diff --git a/hybridse/include/vm/simple_catalog.h b/hybridse/include/vm/simple_catalog.h
index 1e1cd78a2f6..fd7c2f3b952 100644
--- a/hybridse/include/vm/simple_catalog.h
+++ b/hybridse/include/vm/simple_catalog.h
@@ -22,7 +22,6 @@
 #include <string>
 #include <vector>
 
-#include "glog/logging.h"
 #include "proto/fe_type.pb.h"
 #include "vm/catalog.h"
 #include "vm/mem_catalog.h"
diff --git a/hybridse/src/base/fe_slice.cc b/hybridse/src/base/fe_slice.cc
index 9f41c6016ca..c2ca3560741 100644
--- a/hybridse/src/base/fe_slice.cc
+++ b/hybridse/src/base/fe_slice.cc
@@ -25,7 +25,7 @@ void RefCountedSlice::Release() {
     if (this->ref_cnt_ != nullptr) {
         auto& cnt = *this->ref_cnt_;
         cnt -= 1;
-        if (cnt == 0) {
+        if (cnt == 0 && buf() != nullptr) {
             // memset in case the buf is still used after free
             memset(buf(), 0, size());
             free(buf());
diff --git a/hybridse/src/passes/physical/batch_request_optimize_test.cc b/hybridse/src/passes/physical/batch_request_optimize_test.cc
index e53b7c377e2..48259b68ed4 100644
--- a/hybridse/src/passes/physical/batch_request_optimize_test.cc
+++ b/hybridse/src/passes/physical/batch_request_optimize_test.cc
@@ -54,6 +54,9 @@ INSTANTIATE_TEST_SUITE_P(
 INSTANTIATE_TEST_SUITE_P(
     BatchRequestLastJoinQuery, BatchRequestOptimizeTest,
     testing::ValuesIn(sqlcase::InitCases("cases/query/last_join_query.yaml")));
+INSTANTIATE_TEST_SUITE_P(
+    BatchRequestLeftJoin, BatchRequestOptimizeTest,
+    testing::ValuesIn(sqlcase::InitCases("cases/query/left_join.yml")));
 INSTANTIATE_TEST_SUITE_P(
     BatchRequestLastJoinWindowQuery, BatchRequestOptimizeTest,
     testing::ValuesIn(sqlcase::InitCases("cases/query/last_join_window_query.yaml")));
diff --git a/hybridse/src/planv2/ast_node_converter.cc b/hybridse/src/planv2/ast_node_converter.cc
index affb85f91bc..f2fa6fad4e2 100644
--- a/hybridse/src/planv2/ast_node_converter.cc
+++ b/hybridse/src/planv2/ast_node_converter.cc
@@ -1113,13 +1113,13 @@ base::Status ConvertTableExpressionNode(const zetasql::ASTTableExpression* root,
             node::TableRefNode* right = nullptr;
             node::OrderByNode* order_by = nullptr;
             node::ExprNode* condition = nullptr;
-            node::JoinType join_type = node::JoinType::kJoinTypeInner;
             CHECK_STATUS(ConvertTableExpressionNode(join->lhs(), node_manager, &left))
             CHECK_STATUS(ConvertTableExpressionNode(join->rhs(), node_manager, &right))
             CHECK_STATUS(ConvertOrderBy(join->order_by(), node_manager, &order_by))
             if (nullptr != join->on_clause()) {
                 CHECK_STATUS(ConvertExprNode(join->on_clause()->expression(), node_manager, &condition))
             }
+            node::JoinType join_type = node::JoinType::kJoinTypeInner;
             switch (join->join_type()) {
                 case zetasql::ASTJoin::JoinType::FULL: {
                     join_type = node::JoinType::kJoinTypeFull;
@@ -1137,12 +1137,14 @@ base::Status ConvertTableExpressionNode(const zetasql::ASTTableExpression* root,
                     join_type = node::JoinType::kJoinTypeLast;
                     break;
                 }
-                case zetasql::ASTJoin::JoinType::INNER: {
+                case zetasql::ASTJoin::JoinType::INNER:
+                case zetasql::ASTJoin::JoinType::DEFAULT_JOIN_TYPE: {
                     join_type = node::JoinType::kJoinTypeInner;
                     break;
                 }
-                case zetasql::ASTJoin::JoinType::COMMA: {
-                    join_type = node::JoinType::kJoinTypeComma;
+                case zetasql::ASTJoin::JoinType::COMMA:
+                case zetasql::ASTJoin::JoinType::CROSS: {
+                    join_type = node::JoinType::kJoinTypeCross;
                     break;
                 }
                 default: {
@@ -1290,6 +1292,7 @@ base::Status ConvertQueryExpr(const zetasql::ASTQueryExpression* query_expressio
             if (nullptr != select_query->from_clause()) {
                 CHECK_STATUS(ConvertTableExpressionNode(select_query->from_clause()->table_expression(), node_manager,
                                                         &table_ref_node))
+                // TODO(.): dont mark table ref as a list, it never happens
                 if (nullptr != table_ref_node) {
                     tableref_list_ptr = node_manager->MakeNodeList();
                     tableref_list_ptr->PushBack(table_ref_node);
diff --git a/hybridse/src/testing/engine_test_base.cc b/hybridse/src/testing/engine_test_base.cc
index 9a0ad6fdd39..4992b6b5018 100644
--- a/hybridse/src/testing/engine_test_base.cc
+++ b/hybridse/src/testing/engine_test_base.cc
@@ -533,6 +533,8 @@ INSTANTIATE_TEST_SUITE_P(EngineExtreamQuery, EngineTest,
 
 INSTANTIATE_TEST_SUITE_P(EngineLastJoinQuery, EngineTest,
                         testing::ValuesIn(sqlcase::InitCases("cases/query/last_join_query.yaml")));
+INSTANTIATE_TEST_SUITE_P(EngineLeftJoin, EngineTest,
+                        testing::ValuesIn(sqlcase::InitCases("cases/query/left_join.yml")));
 
 INSTANTIATE_TEST_SUITE_P(EngineLastJoinWindowQuery, EngineTest,
                         testing::ValuesIn(sqlcase::InitCases("cases/query/last_join_window_query.yaml")));
diff --git a/hybridse/src/vm/catalog_wrapper.cc b/hybridse/src/vm/catalog_wrapper.cc
index b10c6f1c55b..fbdd337e869 100644
--- a/hybridse/src/vm/catalog_wrapper.cc
+++ b/hybridse/src/vm/catalog_wrapper.cc
@@ -28,7 +28,7 @@ std::shared_ptr<TableHandler> PartitionProjectWrapper::GetSegment(
             new TableProjectWrapper(segment, parameter_, fun_));
     }
 }
-base::ConstIterator<uint64_t, Row>* PartitionProjectWrapper::GetRawIterator() {
+codec::RowIterator* PartitionProjectWrapper::GetRawIterator() {
     auto iter = partition_handler_->GetIterator();
     if (!iter) {
         return nullptr;
@@ -47,7 +47,7 @@ std::shared_ptr<TableHandler> PartitionFilterWrapper::GetSegment(
             new TableFilterWrapper(segment, parameter_, fun_));
     }
 }
-base::ConstIterator<uint64_t, Row>* PartitionFilterWrapper::GetRawIterator() {
+codec::RowIterator* PartitionFilterWrapper::GetRawIterator() {
     auto iter = partition_handler_->GetIterator();
     if (!iter) {
         return nullptr;
@@ -76,10 +76,6 @@ std::shared_ptr<PartitionHandler> TableFilterWrapper::GetPartition(
     }
 }
 
-LazyLastJoinIterator::LazyLastJoinIterator(std::unique_ptr<RowIterator>&& left, std::shared_ptr<PartitionHandler> right,
-                                           const Row& param, std::shared_ptr<JoinGenerator> join)
-    : left_it_(std::move(left)), right_(right), parameter_(param), join_(join) {}
-
 void LazyLastJoinIterator::Seek(const uint64_t& key) { left_it_->Seek(key); }
 
 void LazyLastJoinIterator::SeekToFirst() { left_it_->SeekToFirst(); }
@@ -90,49 +86,36 @@ void LazyLastJoinIterator::Next() { left_it_->Next(); }
 
 bool LazyLastJoinIterator::Valid() const { return left_it_ && left_it_->Valid(); }
 
-LazyLastJoinTableHandler::LazyLastJoinTableHandler(std::shared_ptr<TableHandler> left,
-                                                   std::shared_ptr<PartitionHandler> right, const Row& param,
+LazyJoinPartitionHandler::LazyJoinPartitionHandler(std::shared_ptr<PartitionHandler> left,
+                                                   std::shared_ptr<DataHandler> right, const Row& param,
                                                    std::shared_ptr<JoinGenerator> join)
     : left_(left), right_(right), parameter_(param), join_(join) {}
 
-LazyLastJoinPartitionHandler::LazyLastJoinPartitionHandler(std::shared_ptr<PartitionHandler> left,
-                                                         std::shared_ptr<PartitionHandler> right, const Row& param,
-                                                         std::shared_ptr<JoinGenerator> join)
-    : left_(left), right_(right), parameter_(param), join_(join) {}
-
-std::shared_ptr<TableHandler> LazyLastJoinPartitionHandler::GetSegment(const std::string& key) {
+std::shared_ptr<TableHandler> LazyJoinPartitionHandler::GetSegment(const std::string& key) {
     auto left_seg = left_->GetSegment(key);
-    return std::shared_ptr<TableHandler>(new LazyLastJoinTableHandler(left_seg, right_, parameter_, join_));
+    return std::shared_ptr<TableHandler>(new LazyJoinTableHandler(left_seg, right_, parameter_, join_));
 }
 
-std::shared_ptr<PartitionHandler> LazyLastJoinTableHandler::GetPartition(const std::string& index_name) {
+std::shared_ptr<PartitionHandler> LazyJoinTableHandler::GetPartition(const std::string& index_name) {
     return std::shared_ptr<PartitionHandler>(
-        new LazyLastJoinPartitionHandler(left_->GetPartition(index_name), right_, parameter_, join_));
+        new LazyJoinPartitionHandler(left_->GetPartition(index_name), right_, parameter_, join_));
 }
 
-std::unique_ptr<RowIterator> LazyLastJoinTableHandler::GetIterator() {
-    auto iter = left_->GetIterator();
-    if (!iter) {
-        return std::unique_ptr<RowIterator>();
-    }
-
-    return std::unique_ptr<RowIterator>(new LazyLastJoinIterator(std::move(iter), right_, parameter_, join_));
-}
-std::unique_ptr<RowIterator> LazyLastJoinPartitionHandler::GetIterator() {
+codec::RowIterator* LazyJoinPartitionHandler::GetRawIterator() {
     auto iter = left_->GetIterator();
     if (!iter) {
-        return std::unique_ptr<RowIterator>();
+        return nullptr;
     }
-    return std::unique_ptr<RowIterator>(new LazyLastJoinIterator(std::move(iter), right_, parameter_, join_));
+    return new LazyLastJoinIterator(std::move(iter), right_, parameter_, join_);
 }
 
-std::unique_ptr<WindowIterator> LazyLastJoinPartitionHandler::GetWindowIterator() {
+std::unique_ptr<WindowIterator> LazyJoinPartitionHandler::GetWindowIterator() {
     auto wi = left_->GetWindowIterator();
     if (wi == nullptr) {
         return std::unique_ptr<WindowIterator>();
     }
 
-    return std::unique_ptr<WindowIterator>(new LazyLastJoinWindowIterator(std::move(wi), right_, parameter_, join_));
+    return std::unique_ptr<WindowIterator>(new LazyJoinWindowIterator(std::move(wi), right_, parameter_, join_));
 }
 
 const Row& LazyLastJoinIterator::GetValue() {
@@ -140,29 +123,41 @@ const Row& LazyLastJoinIterator::GetValue() {
     return value_;
 }
 
-std::unique_ptr<WindowIterator> LazyLastJoinTableHandler::GetWindowIterator(const std::string& idx_name) {
-    return nullptr;
-}
-
-LazyLastJoinWindowIterator::LazyLastJoinWindowIterator(std::unique_ptr<WindowIterator>&& iter,
-                                                       std::shared_ptr<PartitionHandler> right, const Row& param,
-                                                       std::shared_ptr<JoinGenerator> join)
-    : left_(std::move(iter)), right_(right), parameter_(param), join_(join) {}
-std::unique_ptr<RowIterator> LazyLastJoinWindowIterator::GetValue() {
-    auto iter = left_->GetValue();
+codec::RowIterator* LazyJoinTableHandler::GetRawIterator() {
+    auto iter = left_->GetIterator();
     if (!iter) {
-        return std::unique_ptr<RowIterator>();
+        return {};
     }
 
-    return std::unique_ptr<RowIterator>(new LazyLastJoinIterator(std::move(iter), right_, parameter_, join_));
+    switch (join_->join_type_) {
+        case node::kJoinTypeLast:
+            return new LazyLastJoinIterator(std::move(iter), right_, parameter_, join_);
+        case node::kJoinTypeLeft:
+            return new LazyLeftJoinIterator(std::move(iter), right_, parameter_, join_);
+        default:
+            return {};
+    }
 }
-RowIterator* LazyLastJoinWindowIterator::GetRawValue() {
+
+LazyJoinWindowIterator::LazyJoinWindowIterator(std::unique_ptr<WindowIterator>&& iter,
+                                               std::shared_ptr<DataHandler> right, const Row& param,
+                                               std::shared_ptr<JoinGenerator> join)
+    : left_(std::move(iter)), right_(right), parameter_(param), join_(join) {}
+
+codec::RowIterator* LazyJoinWindowIterator::GetRawValue() {
     auto iter = left_->GetValue();
     if (!iter) {
         return nullptr;
     }
 
-    return new LazyLastJoinIterator(std::move(iter), right_, parameter_, join_);
+    switch (join_->join_type_) {
+        case node::kJoinTypeLast:
+            return new LazyLastJoinIterator(std::move(iter), right_, parameter_, join_);
+        case node::kJoinTypeLeft:
+            return new LazyLeftJoinIterator(std::move(iter), right_, parameter_, join_);
+        default:
+            return {};
+    }
 }
 
 std::shared_ptr<TableHandler> ConcatPartitionHandler::GetSegment(const std::string& key) {
@@ -181,14 +176,6 @@ RowIterator* ConcatPartitionHandler::GetRawIterator() {
     return new ConcatIterator(std::move(li), left_slices_, std::move(ri), right_slices_);
 }
 
-std::unique_ptr<RowIterator> ConcatPartitionHandler::GetIterator() {
-    auto p = GetRawIterator();
-    if (p == nullptr) {
-        return {};
-    }
-    return std::unique_ptr<RowIterator>(p);
-}
-
 std::unique_ptr<WindowIterator> LazyRequestUnionPartitionHandler::GetWindowIterator() {
     auto w = left_->GetWindowIterator();
     if (!w) {
@@ -202,14 +189,12 @@ std::shared_ptr<TableHandler> LazyRequestUnionPartitionHandler::GetSegment(const
     return nullptr;
 }
 
-std::unique_ptr<RowIterator> LazyRequestUnionPartitionHandler::GetIterator() {
-    return std::unique_ptr<RowIterator>(GetRawIterator());
-}
 const IndexHint& LazyRequestUnionPartitionHandler::GetIndex() { return left_->GetIndex(); }
 
 const Types& LazyRequestUnionPartitionHandler::GetTypes() { return left_->GetTypes(); }
 
-base::ConstIterator<uint64_t, Row>* LazyRequestUnionPartitionHandler::GetRawIterator() { return nullptr; }
+codec::RowIterator* LazyRequestUnionPartitionHandler::GetRawIterator() { return nullptr; }
+
 bool LazyAggIterator::Valid() const { return it_->Valid(); }
 void LazyAggIterator::Next() { it_->Next(); }
 const uint64_t& LazyAggIterator::GetKey() const { return it_->GetKey(); }
@@ -229,22 +214,15 @@ const Row& LazyAggIterator::GetValue() {
 
 void LazyAggIterator::Seek(const uint64_t& key) { it_->Seek(key); }
 void LazyAggIterator::SeekToFirst() { it_->SeekToFirst(); }
-std::unique_ptr<RowIterator> LazyAggTableHandler::GetIterator() {
-    auto* it = GetRawIterator();
-    if (it == nullptr) {
-        return {};
-    }
-    return std::unique_ptr<RowIterator>(it);
-}
-std::unique_ptr<WindowIterator> LazyAggTableHandler::GetWindowIterator(const std::string& idx_name) { return nullptr; }
-base::ConstIterator<uint64_t, Row>* LazyAggTableHandler::GetRawIterator() {
+
+codec::RowIterator* LazyAggTableHandler::GetRawIterator() {
     auto it = left_->GetIterator();
     if (!it) {
         return nullptr;
     }
     return new LazyAggIterator(std::move(it), func_, agg_gen_, parameter_);
 }
-std::shared_ptr<PartitionHandler> LazyAggTableHandler::GetPartition(const std::string& index_name) { return nullptr; }
+
 const Types& LazyAggTableHandler::GetTypes() { return left_->GetTypes(); }
 const IndexHint& LazyAggTableHandler::GetIndex() { return left_->GetIndex(); }
 const Schema* LazyAggTableHandler::GetSchema() { return nullptr; }
@@ -255,11 +233,12 @@ std::shared_ptr<TableHandler> LazyAggPartitionHandler::GetSegment(const std::str
     return std::shared_ptr<TableHandler>(new LazyAggTableHandler(seg, input_->Func(), agg_gen_, parameter_));
 }
 const std::string LazyAggPartitionHandler::GetHandlerTypeName() { return "LazyLastJoinPartitionHandler"; }
-std::unique_ptr<RowIterator> LazyAggPartitionHandler::GetIterator() {
+
+codec::RowIterator* LazyAggPartitionHandler::GetRawIterator() {
     auto it = input_->Left()->GetIterator();
-    return std::unique_ptr<RowIterator>(new LazyAggIterator(std::move(it), input_->Func(), agg_gen_, parameter_));
+    return new LazyAggIterator(std::move(it), input_->Func(), agg_gen_, parameter_);
 }
-base::ConstIterator<uint64_t, Row>* LazyAggPartitionHandler::GetRawIterator() { return nullptr; }
+
 bool ConcatIterator::Valid() const { return left_ && left_->Valid(); }
 void ConcatIterator::Next() {
     left_->Next();
@@ -288,13 +267,6 @@ void ConcatIterator::SeekToFirst() {
         right_->SeekToFirst();
     }
 }
-std::unique_ptr<RowIterator> SimpleConcatTableHandler::GetIterator() {
-    auto p = GetRawIterator();
-    if (p == nullptr) {
-        return {};
-    }
-    return std::unique_ptr<RowIterator>(p);
-}
 RowIterator* SimpleConcatTableHandler::GetRawIterator() {
     auto li = left_->GetIterator();
     if (!li) {
@@ -303,13 +275,7 @@ RowIterator* SimpleConcatTableHandler::GetRawIterator() {
     auto ri = right_->GetIterator();
     return new ConcatIterator(std::move(li), left_slices_, std::move(ri), right_slices_);
 }
-std::unique_ptr<WindowIterator> SimpleConcatTableHandler::GetWindowIterator(const std::string& idx_name) {
-    return nullptr;
-}
 std::unique_ptr<WindowIterator> ConcatPartitionHandler::GetWindowIterator() { return nullptr; }
-std::unique_ptr<WindowIterator> ConcatPartitionHandler::GetWindowIterator(const std::string& idx_name) {
-    return nullptr;
-}
 
 std::unique_ptr<WindowIterator> LazyAggPartitionHandler::GetWindowIterator() {
     auto w = input_->Left()->GetWindowIterator();
@@ -383,5 +349,53 @@ const Row LazyRequestUnionWindowIterator::GetKey() { return left_->GetKey(); }
 void LazyRequestUnionWindowIterator::SeekToFirst() { left_->SeekToFirst(); }
 void LazyRequestUnionWindowIterator::Seek(const std::string& key) { left_->Seek(key); }
 void LazyRequestUnionWindowIterator::Next() { left_->Next(); }
+const std::string LazyJoinPartitionHandler::GetHandlerTypeName() {
+    return "LazyJoinPartitionHandler(" + node::JoinTypeName(join_->join_type_) + ")";
+}
+const std::string LazyJoinTableHandler::GetHandlerTypeName() {
+    return "LazyJoinTableHandler(" + node::JoinTypeName(join_->join_type_) + ")";
+}
+void LazyLeftJoinIterator::Next() {
+    if (right_it_ && right_it_->Valid()) {
+        right_it_->Next();
+        auto res = join_->RowJoinIterator(left_value_, right_it_, parameter_);
+        matches_right_ |= res.second;
+        if (matches_right_ && !right_it_->Valid()) {
+            // matched from right somewhere, skip the NULL match
+            left_it_->Next();
+            onNewLeftRow();
+        } else {
+            // RowJoinIterator returns NULL match by default
+            value_ = res.first;
+        }
+    } else {
+        left_it_->Next();
+        onNewLeftRow();
+    }
+}
+void LazyLeftJoinIterator::onNewLeftRow() {
+    // reset
+    right_it_ = nullptr;
+    left_value_ = Row();
+    value_ = Row();
+    matches_right_ = false;
+
+    if (!left_it_->Valid()) {
+        // end of iterator
+        return;
+    }
+
+    left_value_ = left_it_->GetValue();
+    if (right_partition_) {
+        right_it_ = join_->InitRight(left_value_, right_partition_, parameter_);
+    } else {
+        right_it_ = right_->GetIterator();
+        right_it_->SeekToFirst();
+    }
+
+    auto res = join_->RowJoinIterator(left_value_, right_it_, parameter_);
+    value_ = res.first;
+    matches_right_ |= res.second;
+}
 }  // namespace vm
 }  // namespace hybridse
diff --git a/hybridse/src/vm/catalog_wrapper.h b/hybridse/src/vm/catalog_wrapper.h
index 855eb1f703a..bfd1265aa82 100644
--- a/hybridse/src/vm/catalog_wrapper.h
+++ b/hybridse/src/vm/catalog_wrapper.h
@@ -22,6 +22,7 @@
 #include <string>
 #include <utility>
 
+#include "absl/base/attributes.h"
 #include "codec/row_iterator.h"
 #include "vm/catalog.h"
 #include "vm/generator.h"
@@ -144,15 +145,6 @@ class WindowIteratorProjectWrapper : public WindowIterator {
                                  const ProjectFun* fun)
         : WindowIterator(), iter_(std::move(iter)), parameter_(parameter), fun_(fun) {}
     virtual ~WindowIteratorProjectWrapper() {}
-    std::unique_ptr<RowIterator> GetValue() override {
-        auto iter = iter_->GetValue();
-        if (!iter) {
-            return std::unique_ptr<RowIterator>();
-        } else {
-            return std::unique_ptr<RowIterator>(
-                new IteratorProjectWrapper(std::move(iter), parameter_, fun_));
-        }
-    }
     RowIterator* GetRawValue() override {
         auto iter = iter_->GetValue();
         if (!iter) {
@@ -178,15 +170,6 @@ class WindowIteratorFilterWrapper : public WindowIterator {
                                 const PredicateFun* fun)
         : WindowIterator(), iter_(std::move(iter)), parameter_(parameter), fun_(fun) {}
     virtual ~WindowIteratorFilterWrapper() {}
-    std::unique_ptr<RowIterator> GetValue() override {
-        auto iter = iter_->GetValue();
-        if (!iter) {
-            return std::unique_ptr<RowIterator>();
-        } else {
-            return std::unique_ptr<RowIterator>(
-                new IteratorFilterWrapper(std::move(iter), parameter_, fun_));
-        }
-    }
     RowIterator* GetRawValue() override {
         auto iter = iter_->GetValue();
         if (!iter) {
@@ -242,16 +225,7 @@ class PartitionProjectWrapper : public PartitionHandler {
     const std::string& GetDatabase() override {
         return partition_handler_->GetDatabase();
     }
-    std::unique_ptr<base::ConstIterator<uint64_t, Row>> GetIterator() override {
-        auto iter = partition_handler_->GetIterator();
-        if (!iter) {
-            return std::unique_ptr<RowIterator>();
-        } else {
-            return std::unique_ptr<RowIterator>(
-                new IteratorProjectWrapper(std::move(iter), parameter_, fun_));
-        }
-    }
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override;
+    codec::RowIterator* GetRawIterator() override;
     Row At(uint64_t pos) override {
         value_ = fun_->operator()(partition_handler_->At(pos), parameter_);
         return value_;
@@ -305,16 +279,8 @@ class PartitionFilterWrapper : public PartitionHandler {
     const std::string& GetDatabase() override {
         return partition_handler_->GetDatabase();
     }
-    std::unique_ptr<base::ConstIterator<uint64_t, Row>> GetIterator() override {
-        auto iter = partition_handler_->GetIterator();
-        if (!iter) {
-            return std::unique_ptr<base::ConstIterator<uint64_t, Row>>();
-        } else {
-            return std::unique_ptr<RowIterator>(
-                new IteratorFilterWrapper(std::move(iter), parameter_, fun_));
-        }
-    }
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override;
+
+    codec::RowIterator* GetRawIterator() override;
 
     std::shared_ptr<TableHandler> GetSegment(const std::string& key) override;
 
@@ -336,15 +302,6 @@ class TableProjectWrapper : public TableHandler {
         : TableHandler(), table_hander_(table_handler), parameter_(parameter), value_(), fun_(fun) {}
     virtual ~TableProjectWrapper() {}
 
-    std::unique_ptr<RowIterator> GetIterator() override {
-        auto iter = table_hander_->GetIterator();
-        if (!iter) {
-            return std::unique_ptr<RowIterator>();
-        } else {
-            return std::unique_ptr<RowIterator>(
-                new IteratorProjectWrapper(std::move(iter), parameter_, fun_));
-        }
-    }
     const Types& GetTypes() override { return table_hander_->GetTypes(); }
     const IndexHint& GetIndex() override { return table_hander_->GetIndex(); }
     std::unique_ptr<WindowIterator> GetWindowIterator(
@@ -362,7 +319,7 @@ class TableProjectWrapper : public TableHandler {
     const std::string& GetDatabase() override {
         return table_hander_->GetDatabase();
     }
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override {
+    codec::RowIterator* GetRawIterator() override {
         auto iter = table_hander_->GetIterator();
         if (!iter) {
             return nullptr;
@@ -391,14 +348,6 @@ class TableFilterWrapper : public TableHandler {
         : TableHandler(), table_hander_(table_handler), parameter_(parameter), fun_(fun) {}
     virtual ~TableFilterWrapper() {}
 
-    std::unique_ptr<RowIterator> GetIterator() override {
-        auto iter = table_hander_->GetIterator();
-        if (!iter) {
-            return std::unique_ptr<RowIterator>();
-        } else {
-            return std::make_unique<IteratorFilterWrapper>(std::move(iter), parameter_, fun_);
-        }
-    }
     const Types& GetTypes() override { return table_hander_->GetTypes(); }
     const IndexHint& GetIndex() override { return table_hander_->GetIndex(); }
 
@@ -414,9 +363,13 @@ class TableFilterWrapper : public TableHandler {
     const Schema* GetSchema() override { return table_hander_->GetSchema(); }
     const std::string& GetName() override { return table_hander_->GetName(); }
     const std::string& GetDatabase() override { return table_hander_->GetDatabase(); }
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override {
-        return new IteratorFilterWrapper(static_cast<std::unique_ptr<RowIterator>>(table_hander_->GetRawIterator()),
-                                         parameter_, fun_);
+    codec::RowIterator* GetRawIterator() override {
+        auto iter = table_hander_->GetIterator();
+        if (!iter) {
+            return nullptr;
+        } else {
+            return new IteratorFilterWrapper(std::move(iter), parameter_, fun_);
+        }
     }
     std::shared_ptr<PartitionHandler> GetPartition(const std::string& index_name) override;
     const OrderType GetOrderType() const override { return table_hander_->GetOrderType(); }
@@ -428,29 +381,25 @@ class TableFilterWrapper : public TableHandler {
     const PredicateFun* fun_;
 };
 
-class LimitTableHandler : public TableHandler {
+class LimitTableHandler final : public TableHandler {
  public:
     explicit LimitTableHandler(std::shared_ptr<TableHandler> table, int32_t limit)
         : TableHandler(), table_hander_(table), limit_(limit) {}
     virtual ~LimitTableHandler() {}
 
-    std::unique_ptr<RowIterator> GetIterator() override {
-        auto iter = table_hander_->GetIterator();
-        if (!iter) {
-            return std::unique_ptr<RowIterator>();
-        } else {
-            return std::make_unique<LimitIterator>(std::move(iter), limit_);
-        }
-    }
-
     // FIXME(ace): do not use this, not implemented
     std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override {
         LOG(ERROR) << "window iterator for LimitTableHandler is not implemented, don't use";
         return table_hander_->GetWindowIterator(idx_name);
     }
 
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override {
-        return new LimitIterator(static_cast<std::unique_ptr<RowIterator>>(table_hander_->GetRawIterator()), limit_);
+    codec::RowIterator* GetRawIterator() override {
+        auto iter = table_hander_->GetIterator();
+        if (!iter) {
+            return nullptr;
+        } else {
+            return new LimitIterator(std::move(iter), limit_);
+        }
     }
 
     const Types& GetTypes() override { return table_hander_->GetTypes(); }
@@ -564,10 +513,15 @@ class RowCombineWrapper : public RowHandler {
     const ProjectFun* fun_;
 };
 
+// Last Join iterator on demand
+// for request mode, right source must be a PartitionHandler
 class LazyLastJoinIterator : public RowIterator {
  public:
-    LazyLastJoinIterator(std::unique_ptr<RowIterator>&& left, std::shared_ptr<PartitionHandler> right, const Row& param,
-                         std::shared_ptr<JoinGenerator> join);
+    LazyLastJoinIterator(std::unique_ptr<RowIterator>&& left, std::shared_ptr<DataHandler> right, const Row& param,
+                         std::shared_ptr<JoinGenerator> join) ABSL_ATTRIBUTE_NONNULL()
+        : left_it_(std::move(left)), right_(right), parameter_(param), join_(join) {
+        SeekToFirst();
+    }
 
     ~LazyLastJoinIterator() override {}
 
@@ -584,30 +538,82 @@ class LazyLastJoinIterator : public RowIterator {
 
  private:
     std::unique_ptr<RowIterator> left_it_;
-    std::shared_ptr<PartitionHandler> right_;
+    std::shared_ptr<DataHandler>  right_;
     const Row& parameter_;
     std::shared_ptr<JoinGenerator> join_;
 
     Row value_;
 };
+class LazyLeftJoinIterator : public RowIterator {
+ public:
+    LazyLeftJoinIterator(std::unique_ptr<RowIterator>&& left, std::shared_ptr<DataHandler> right, const Row& param,
+                         std::shared_ptr<JoinGenerator> join)
+    : left_it_(std::move(left)), right_(right), parameter_(param), join_(join) {
+        if (right_->GetHandlerType() == kPartitionHandler) {
+            right_partition_ = std::dynamic_pointer_cast<PartitionHandler>(right_);
+        }
+        SeekToFirst();
+    }
+
+    ~LazyLeftJoinIterator() override {}
+
+    bool Valid() const override { return left_it_->Valid(); }
+
+    // actual compute performed here, left_it_ and right_it_ is updated to the next position of join
+    void Next() override;
+
+    const uint64_t& GetKey() const override {
+        return left_it_->GetKey();
+    }
+
+    const Row& GetValue() override {
+        return value_;
+    }
+
+    bool IsSeekable() const override { return true; };
+
+    void Seek(const uint64_t& key) override {
+        left_it_->Seek(key);
+        onNewLeftRow();
+    }
+
+    void SeekToFirst() override {
+        left_it_->SeekToFirst();
+        onNewLeftRow();
+    }
+
+ private:
+    // left_value_ changed, update right_it_ based on join condition
+    void onNewLeftRow();
+
+    std::unique_ptr<RowIterator> left_it_;
+    std::shared_ptr<DataHandler> right_;
+    std::shared_ptr<PartitionHandler> right_partition_;
+    const Row parameter_;
+    std::shared_ptr<JoinGenerator> join_;
+
+    // whether current left row has any rows from right joined, left join fallback to NULL if non matches
+    bool matches_right_ = false;
+    std::unique_ptr<RowIterator> right_it_;
+    Row left_value_;
+    Row value_;
+};
 
-class LazyLastJoinPartitionHandler final : public PartitionHandler {
+class LazyJoinPartitionHandler final : public PartitionHandler {
  public:
-    LazyLastJoinPartitionHandler(std::shared_ptr<PartitionHandler> left, std::shared_ptr<PartitionHandler> right,
-                                const Row& param, std::shared_ptr<JoinGenerator> join);
-    ~LazyLastJoinPartitionHandler() override {}
+    LazyJoinPartitionHandler(std::shared_ptr<PartitionHandler> left, std::shared_ptr<DataHandler> right,
+                             const Row& param, std::shared_ptr<JoinGenerator> join);
+    ~LazyJoinPartitionHandler() override {}
 
     // NOTE: only support get segement by key from left source
     std::shared_ptr<TableHandler> GetSegment(const std::string& key) override;
 
-    const std::string GetHandlerTypeName() override {
-        return "LazyLastJoinPartitionHandler";
-    }
-
-    std::unique_ptr<RowIterator> GetIterator() override;
+    const std::string GetHandlerTypeName() override;
 
     std::unique_ptr<WindowIterator> GetWindowIterator() override;
 
+    codec::RowIterator* GetRawIterator() override;
+
     const IndexHint& GetIndex() override { return left_->GetIndex(); }
 
     // unimplemented
@@ -615,54 +621,36 @@ class LazyLastJoinPartitionHandler final : public PartitionHandler {
 
     // unimplemented
     const Schema* GetSchema() override { return nullptr; }
-    const std::string& GetName() override { return name_; }
-    const std::string& GetDatabase() override { return db_; }
-
-    // unimplemented
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override {
-        return nullptr;
-    }
+    const std::string& GetName() override { return left_->GetName(); }
+    const std::string& GetDatabase() override { return left_->GetDatabase(); }
 
  private:
     std::shared_ptr<PartitionHandler> left_;
-    std::shared_ptr<PartitionHandler> right_;
+    std::shared_ptr<DataHandler> right_;
     const Row& parameter_;
     std::shared_ptr<JoinGenerator> join_;
-
-    std::string name_ = "";
-    std::string db_ = "";
 };
 
-class LazyLastJoinTableHandler final : public TableHandler {
+class LazyJoinTableHandler final : public TableHandler {
  public:
-    LazyLastJoinTableHandler(std::shared_ptr<TableHandler> left, std::shared_ptr<PartitionHandler> right,
-                                const Row& param, std::shared_ptr<JoinGenerator> join);
-    ~LazyLastJoinTableHandler() override {}
+    LazyJoinTableHandler(std::shared_ptr<TableHandler> left, std::shared_ptr<DataHandler> right, const Row& param,
+                         std::shared_ptr<JoinGenerator> join)
+        : left_(left), right_(right), parameter_(param), join_(join) {
+    }
 
-    std::unique_ptr<RowIterator> GetIterator() override;
+    ~LazyJoinTableHandler() override {}
 
     // unimplemented
     const Types& GetTypes() override { return left_->GetTypes(); }
 
     const IndexHint& GetIndex() override { return left_->GetIndex(); }
 
-    // unimplemented
-    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override;
-
     // unimplemented
     const Schema* GetSchema() override { return nullptr; }
-    const std::string& GetName() override { return name_; }
-    const std::string& GetDatabase() override { return db_; }
-
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override {
-        // unimplemented
-        return nullptr;
-    }
+    const std::string& GetName() override { return left_->GetName(); }
+    const std::string& GetDatabase() override { return left_->GetDatabase(); }
 
-    Row At(uint64_t pos) override {
-        // unimplemented
-        return value_;
-    }
+    codec::RowIterator* GetRawIterator() override;
 
     const uint64_t GetCount() override { return left_->GetCount(); }
 
@@ -670,30 +658,23 @@ class LazyLastJoinTableHandler final : public TableHandler {
 
     const OrderType GetOrderType() const override { return left_->GetOrderType(); }
 
-    const std::string GetHandlerTypeName() override {
-        return "LazyLastJoinTableHandler";
-    }
+    const std::string GetHandlerTypeName() override;
 
  private:
     std::shared_ptr<TableHandler> left_;
-    std::shared_ptr<PartitionHandler> right_;
-    const Row& parameter_;
+    std::shared_ptr<DataHandler> right_;
+    const Row parameter_;
     std::shared_ptr<JoinGenerator> join_;
-
-    Row value_;
-    std::string name_ = "";
-    std::string db_ = "";
 };
 
-class LazyLastJoinWindowIterator final : public codec::WindowIterator {
+class LazyJoinWindowIterator final : public codec::WindowIterator {
  public:
-    LazyLastJoinWindowIterator(std::unique_ptr<WindowIterator>&& iter, std::shared_ptr<PartitionHandler> right,
-                               const Row& param, std::shared_ptr<JoinGenerator> join);
+    LazyJoinWindowIterator(std::unique_ptr<WindowIterator>&& iter, std::shared_ptr<DataHandler> right, const Row& param,
+                           std::shared_ptr<JoinGenerator> join);
 
-    ~LazyLastJoinWindowIterator() override {}
+    ~LazyJoinWindowIterator() override {}
 
-    std::unique_ptr<RowIterator> GetValue() override;
-    RowIterator* GetRawValue() override;
+    codec::RowIterator* GetRawValue() override;
 
     void Seek(const std::string& key) override { left_->Seek(key); }
     void SeekToFirst() override { left_->SeekToFirst(); }
@@ -702,7 +683,7 @@ class LazyLastJoinWindowIterator final : public codec::WindowIterator {
     const Row GetKey() override { return left_->GetKey(); }
 
     std::shared_ptr<WindowIterator> left_;
-    std::shared_ptr<PartitionHandler> right_;
+    std::shared_ptr<DataHandler> right_;
     const Row& parameter_;
     std::shared_ptr<JoinGenerator> join_;
 };
@@ -772,7 +753,7 @@ class LazyRequestUnionPartitionHandler final : public PartitionHandler {
 
     const std::string GetHandlerTypeName() override { return "LazyRequestUnionPartitiontHandler"; }
 
-    std::unique_ptr<RowIterator> GetIterator() override;
+    codec::RowIterator* GetRawIterator() override;
 
     const IndexHint& GetIndex() override;
 
@@ -784,8 +765,6 @@ class LazyRequestUnionPartitionHandler final : public PartitionHandler {
     const std::string& GetName() override { return left_->GetName(); }
     const std::string& GetDatabase() override { return left_->GetDatabase(); }
 
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override;
-
     auto Left() const { return left_; }
     auto Func() const { return func_; }
 
@@ -832,20 +811,15 @@ class LazyAggTableHandler final : public TableHandler {
     }
     ~LazyAggTableHandler() override {}
 
-    std::unique_ptr<RowIterator> GetIterator() override;
+    RowIterator* GetRawIterator() override;
 
     // unimplemented
     const Types& GetTypes() override;
     const IndexHint& GetIndex() override;
-    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override;
     const Schema* GetSchema() override;
     const std::string& GetName() override;
     const std::string& GetDatabase() override;
 
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override;
-
-    std::shared_ptr<PartitionHandler> GetPartition(const std::string& index_name) override;
-
  private:
     std::shared_ptr<TableHandler> left_;
     std::function<std::shared_ptr<TableHandler>(const Row&)> func_;
@@ -887,7 +861,7 @@ class LazyAggPartitionHandler final : public PartitionHandler {
 
     const std::string GetHandlerTypeName() override;
 
-    std::unique_ptr<RowIterator> GetIterator() override;
+    codec::RowIterator* GetRawIterator() override;
 
     std::unique_ptr<WindowIterator> GetWindowIterator() override;
 
@@ -898,7 +872,6 @@ class LazyAggPartitionHandler final : public PartitionHandler {
     const Schema* GetSchema() override { return nullptr; }
     const std::string& GetName() override { return input_->GetName(); }
     const std::string& GetDatabase() override { return input_->GetDatabase(); }
-    base::ConstIterator<uint64_t, Row>* GetRawIterator() override;
 
  private:
     std::shared_ptr<LazyRequestUnionPartitionHandler> input_;
@@ -942,12 +915,8 @@ class SimpleConcatTableHandler final : public TableHandler {
         : left_(left), left_slices_(left_slices), right_(right), right_slices_(right_slices) {}
     ~SimpleConcatTableHandler() override {}
 
-    std::unique_ptr<RowIterator> GetIterator() override;
-
     RowIterator* GetRawIterator() override;
 
-    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override;
-
     const Types& GetTypes() override { return left_->GetTypes(); }
 
     const IndexHint& GetIndex() override { return left_->GetIndex(); }
@@ -971,12 +940,8 @@ class ConcatPartitionHandler final : public PartitionHandler {
         : left_(left), left_slices_(left_slices), right_(right), right_slices_(right_slices) {}
     ~ConcatPartitionHandler() override {}
 
-    std::unique_ptr<RowIterator> GetIterator() override;
-
     RowIterator* GetRawIterator() override;
 
-    std::unique_ptr<WindowIterator> GetWindowIterator(const std::string& idx_name) override;
-
     std::unique_ptr<WindowIterator> GetWindowIterator() override;
 
     std::shared_ptr<TableHandler> GetSegment(const std::string& key) override;
diff --git a/hybridse/src/vm/cluster_task.cc b/hybridse/src/vm/cluster_task.cc
new file mode 100644
index 00000000000..25b4afb1281
--- /dev/null
+++ b/hybridse/src/vm/cluster_task.cc
@@ -0,0 +1,136 @@
+/**
+ * Copyright (c) 2023 OpenMLDB authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "vm/cluster_task.h"
+
+namespace hybridse {
+namespace vm {
+const bool RouteInfo::IsCompleted() const { return table_handler_ && !index_.empty() && index_key_.ValidKey(); }
+const bool RouteInfo::EqualWith(const RouteInfo& info1, const RouteInfo& info2) {
+    return info1.input_ == info2.input_ && info1.table_handler_ == info2.table_handler_ &&
+           info1.index_ == info2.index_ && node::ExprEquals(info1.index_key_.keys_, info2.index_key_.keys_);
+}
+const std::string RouteInfo::ToString() const {
+    if (IsCompleted()) {
+        std::ostringstream oss;
+        if (lazy_route_) {
+            oss << "[LAZY]";
+        }
+        oss << ", routing index = " << table_handler_->GetDatabase() << "." << table_handler_->GetName() << "."
+            << index_ << ", " << index_key_.ToString();
+        return oss.str();
+    } else {
+        return "";
+    }
+}
+const bool RouteInfo::IsCluster() const { return table_handler_ && !index_.empty(); }
+void ClusterTask::Print(std::ostream& output, const std::string& tab) const {
+    output << route_info_.ToString() << "\n";
+    if (nullptr == root_) {
+        output << tab << "NULL RUNNER\n";
+    } else {
+        std::set<int32_t> visited_ids;
+        root_->Print(output, tab, &visited_ids);
+    }
+}
+void ClusterTask::ResetInputs(std::shared_ptr<ClusterTask> input) {
+    for (auto input_runner : input_runners_) {
+        input_runner->SetProducer(0, route_info_.input_->GetRoot());
+    }
+    route_info_.index_key_input_runner_ = route_info_.input_->GetRoot();
+    route_info_.input_ = input;
+}
+Runner* ClusterTask::GetInputRunner(size_t idx) const {
+    return idx >= input_runners_.size() ? nullptr : input_runners_[idx];
+}
+const bool ClusterTask::TaskCanBeMerge(const ClusterTask& task1, const ClusterTask& task2) {
+    return RouteInfo::EqualWith(task1.route_info_, task2.route_info_);
+}
+const ClusterTask ClusterTask::TaskMerge(Runner* root, const ClusterTask& task1, const ClusterTask& task2) {
+    return TaskMergeToLeft(root, task1, task2);
+}
+const ClusterTask ClusterTask::TaskMergeToLeft(Runner* root, const ClusterTask& task1, const ClusterTask& task2) {
+    std::vector<Runner*> input_runners;
+    for (auto runner : task1.input_runners_) {
+        input_runners.push_back(runner);
+    }
+    for (auto runner : task2.input_runners_) {
+        input_runners.push_back(runner);
+    }
+    return ClusterTask(root, input_runners, task1.route_info_);
+}
+const ClusterTask ClusterTask::TaskMergeToRight(Runner* root, const ClusterTask& task1, const ClusterTask& task2) {
+    std::vector<Runner*> input_runners;
+    for (auto runner : task1.input_runners_) {
+        input_runners.push_back(runner);
+    }
+    for (auto runner : task2.input_runners_) {
+        input_runners.push_back(runner);
+    }
+    return ClusterTask(root, input_runners, task2.route_info_);
+}
+const Runner* ClusterTask::GetRequestInput(const ClusterTask& task) {
+    if (!task.IsValid()) {
+        return nullptr;
+    }
+    auto input_task = task.GetInput();
+    if (input_task) {
+        return input_task->GetRoot();
+    }
+    return nullptr;
+}
+ClusterTask ClusterJob::GetTask(int32_t id) {
+    if (id < 0 || id >= static_cast<int32_t>(tasks_.size())) {
+        LOG(WARNING) << "fail get task: task " << id << " not exist";
+        return ClusterTask();
+    }
+    return tasks_[id];
+}
+int32_t ClusterJob::AddTask(const ClusterTask& task) {
+    if (!task.IsValid()) {
+        LOG(WARNING) << "fail to add invalid task";
+        return -1;
+    }
+    tasks_.push_back(task);
+    return tasks_.size() - 1;
+}
+bool ClusterJob::AddRunnerToTask(Runner* runner, const int32_t id) {
+    if (id < 0 || id >= static_cast<int32_t>(tasks_.size())) {
+        LOG(WARNING) << "fail update task: task " << id << " not exist";
+        return false;
+    }
+    runner->AddProducer(tasks_[id].GetRoot());
+    tasks_[id].SetRoot(runner);
+    return true;
+}
+void ClusterJob::Print(std::ostream& output, const std::string& tab) const {
+    if (tasks_.empty()) {
+        output << "EMPTY CLUSTER JOB\n";
+        return;
+    }
+    for (size_t i = 0; i < tasks_.size(); i++) {
+        if (main_task_id_ == static_cast<int32_t>(i)) {
+            output << "MAIN TASK ID " << i;
+        } else {
+            output << "TASK ID " << i;
+        }
+        tasks_[i].Print(output, tab);
+        output << "\n";
+    }
+}
+void ClusterJob::Print() const { this->Print(std::cout, "    "); }
+}  // namespace vm
+}  // namespace hybridse
diff --git a/hybridse/src/vm/cluster_task.h b/hybridse/src/vm/cluster_task.h
new file mode 100644
index 00000000000..6b34d2a55d3
--- /dev/null
+++ b/hybridse/src/vm/cluster_task.h
@@ -0,0 +1,182 @@
+/**
+ * Copyright (c) 2023 OpenMLDB authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef HYBRIDSE_SRC_VM_CLUSTER_TASK_H_
+#define HYBRIDSE_SRC_VM_CLUSTER_TASK_H_
+
+#include <memory>
+#include <set>
+#include <string>
+#include <vector>
+
+#include "vm/catalog.h"
+#include "vm/physical_op.h"
+#include "vm/runner.h"
+
+namespace hybridse {
+namespace vm {
+
+class ClusterTask;
+
+class RouteInfo {
+ public:
+    RouteInfo()
+        : index_(),
+          index_key_(),
+          index_key_input_runner_(nullptr),
+          input_(),
+          table_handler_() {}
+    RouteInfo(const std::string index,
+              std::shared_ptr<TableHandler> table_handler)
+        : index_(index),
+          index_key_(),
+          index_key_input_runner_(nullptr),
+          input_(),
+          table_handler_(table_handler) {}
+    RouteInfo(const std::string index, const Key& index_key,
+              std::shared_ptr<ClusterTask> input,
+              std::shared_ptr<TableHandler> table_handler)
+        : index_(index),
+          index_key_(index_key),
+          index_key_input_runner_(nullptr),
+          input_(input),
+          table_handler_(table_handler) {}
+    ~RouteInfo() {}
+    const bool IsCompleted() const;
+    const bool IsCluster() const;
+    static const bool EqualWith(const RouteInfo& info1, const RouteInfo& info2);
+
+    const std::string ToString() const;
+    std::string index_;
+    Key index_key_;
+    Runner* index_key_input_runner_;
+    std::shared_ptr<ClusterTask> input_;
+    std::shared_ptr<TableHandler> table_handler_;
+
+    // if true: generate the complete ClusterTask only when requires
+    bool lazy_route_ = false;
+};
+
+// task info of cluster job
+// partitoin/index info
+// index key generator
+// request generator
+class ClusterTask {
+ public:
+    // common tasks
+    ClusterTask() : root_(nullptr), input_runners_(), route_info_() {}
+    explicit ClusterTask(Runner* root)
+        : root_(root), input_runners_(), route_info_() {}
+
+    // cluster task with explicit routeinfo
+    ClusterTask(Runner* root, const std::shared_ptr<TableHandler> table_handler,
+                std::string index)
+        : root_(root), input_runners_(), route_info_(index, table_handler) {}
+    ClusterTask(Runner* root, const std::vector<Runner*>& input_runners,
+                const RouteInfo& route_info)
+        : root_(root), input_runners_(input_runners), route_info_(route_info) {}
+    ~ClusterTask() {}
+
+    void Print(std::ostream& output, const std::string& tab) const;
+
+    friend std::ostream& operator<<(std::ostream& os, const ClusterTask& output) {
+        output.Print(os, "");
+        return os;
+    }
+
+    void ResetInputs(std::shared_ptr<ClusterTask> input);
+    Runner* GetRoot() const { return root_; }
+    void SetRoot(Runner* root) { root_ = root; }
+    Runner* GetInputRunner(size_t idx) const;
+    Runner* GetIndexKeyInput() const {
+        return route_info_.index_key_input_runner_;
+    }
+    std::shared_ptr<ClusterTask> GetInput() const { return route_info_.input_; }
+    Key GetIndexKey() const { return route_info_.index_key_; }
+    void SetIndexKey(const Key& key) { route_info_.index_key_ = key; }
+    void SetInput(std::shared_ptr<ClusterTask> input) {
+        route_info_.input_ = input;
+    }
+
+    const bool IsValid() const { return nullptr != root_; }
+
+    const bool IsCompletedClusterTask() const {
+        return IsValid() && route_info_.IsCompleted();
+    }
+    const bool IsUnCompletedClusterTask() const {
+        return IsClusterTask() && !route_info_.IsCompleted();
+    }
+    const bool IsClusterTask() const { return route_info_.IsCluster(); }
+    const std::string& index() { return route_info_.index_; }
+    std::shared_ptr<TableHandler> table_handler() {
+        return route_info_.table_handler_;
+    }
+
+    // Cluster tasks with same input runners and index keys can be merged
+    static const bool TaskCanBeMerge(const ClusterTask& task1, const ClusterTask& task2);
+    static const ClusterTask TaskMerge(Runner* root, const ClusterTask& task1, const ClusterTask& task2);
+    static const ClusterTask TaskMergeToLeft(Runner* root, const ClusterTask& task1, const ClusterTask& task2);
+    static const ClusterTask TaskMergeToRight(Runner* root, const ClusterTask& task1, const ClusterTask& task2);
+    static const Runner* GetRequestInput(const ClusterTask& task);
+
+    const RouteInfo& GetRouteInfo() const { return route_info_; }
+
+ protected:
+    Runner* root_;
+    std::vector<Runner*> input_runners_;
+    RouteInfo route_info_;
+};
+
+class ClusterJob {
+ public:
+    ClusterJob()
+        : tasks_(), main_task_id_(-1), sql_(""), common_column_indices_() {}
+    explicit ClusterJob(const std::string& sql, const std::string& db,
+                        const std::set<size_t>& common_column_indices)
+        : tasks_(),
+          main_task_id_(-1),
+          sql_(sql),
+          db_(db),
+          common_column_indices_(common_column_indices) {}
+    ClusterTask GetTask(int32_t id);
+
+    ClusterTask GetMainTask() { return GetTask(main_task_id_); }
+    int32_t AddTask(const ClusterTask& task);
+    bool AddRunnerToTask(Runner* runner, const int32_t id);
+
+    void AddMainTask(const ClusterTask& task) { main_task_id_ = AddTask(task); }
+    void Reset() { tasks_.clear(); }
+    const size_t GetTaskSize() const { return tasks_.size(); }
+    const bool IsValid() const { return !tasks_.empty(); }
+    const int32_t main_task_id() const { return main_task_id_; }
+    const std::string& sql() const { return sql_; }
+    const std::string& db() const { return db_; }
+    const std::set<size_t>& common_column_indices() const { return common_column_indices_; }
+    void Print(std::ostream& output, const std::string& tab) const;
+    void Print() const;
+
+ private:
+    std::vector<ClusterTask> tasks_;
+    int32_t main_task_id_;
+    std::string sql_;
+    std::string db_;
+    std::set<size_t> common_column_indices_;
+};
+
+}  // namespace vm
+}  // namespace hybridse
+
+#endif  // HYBRIDSE_SRC_VM_CLUSTER_TASK_H_
diff --git a/hybridse/src/vm/engine.cc b/hybridse/src/vm/engine.cc
index fc88a6ccda1..97eae8a9062 100644
--- a/hybridse/src/vm/engine.cc
+++ b/hybridse/src/vm/engine.cc
@@ -18,13 +18,8 @@
 #include <string>
 #include <utility>
 #include <vector>
-#include "base/fe_strings.h"
 #include "boost/none.hpp"
-#include "boost/optional.hpp"
 #include "codec/fe_row_codec.h"
-#include "codec/fe_schema_codec.h"
-#include "codec/list_iterator_codec.h"
-#include "codegen/buf_ir_builder.h"
 #include "gflags/gflags.h"
 #include "llvm-c/Target.h"
 #include "udf/default_udf_library.h"
@@ -32,6 +27,7 @@
 #include "vm/mem_catalog.h"
 #include "vm/sql_compiler.h"
 #include "vm/internal/node_helper.h"
+#include "vm/runner_ctx.h"
 
 DECLARE_bool(enable_spark_unsaferow_format);
 
diff --git a/hybridse/src/vm/engine_compile_test.cc b/hybridse/src/vm/engine_compile_test.cc
index d338a9176b0..b4a7c715f9b 100644
--- a/hybridse/src/vm/engine_compile_test.cc
+++ b/hybridse/src/vm/engine_compile_test.cc
@@ -251,13 +251,8 @@ TEST_F(EngineCompileTest, EngineCompileOnlyTest) {
 
     {
         std::vector<std::string> sql_str_list = {
-            "SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 full join t2 on "
-            "t1.col1 = t2.col2;",
             "SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 left join t2 on "
             "t1.col1 = t2.col2;",
-            "SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 right join t2 "
-            "on "
-            "t1.col1 = t2.col2;",
             "SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 last join t2 "
             "order by t2.col5 on t1.col1 = t2.col2;"};
         EngineOptions options;
@@ -277,7 +272,7 @@ TEST_F(EngineCompileTest, EngineCompileOnlyTest) {
         std::vector<std::string> sql_str_list = {
             "SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 full join t2 on "
             "t1.col1 = t2.col2;",
-            "SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 left join t2 on "
+            "SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 inner join t2 on "
             "t1.col1 = t2.col2;",
             "SELECT t1.COL1, t1.COL2, t2.COL1, t2.COL2 FROM t1 right join t2 "
             "on "
diff --git a/hybridse/src/vm/generator.cc b/hybridse/src/vm/generator.cc
index aaa16ff2783..39bb4d34d2e 100644
--- a/hybridse/src/vm/generator.cc
+++ b/hybridse/src/vm/generator.cc
@@ -16,6 +16,10 @@
 
 #include "vm/generator.h"
 
+#include <utility>
+
+#include "node/sql_node.h"
+#include "vm/catalog.h"
 #include "vm/catalog_wrapper.h"
 #include "vm/runner.h"
 
@@ -233,10 +237,41 @@ Row JoinGenerator::RowLastJoinDropLeftSlices(
     return right_row;
 }
 
-std::shared_ptr<PartitionHandler> JoinGenerator::LazyLastJoin(std::shared_ptr<PartitionHandler> left,
-                                                              std::shared_ptr<PartitionHandler> right,
-                                                              const Row& parameter) {
-    return std::make_shared<LazyLastJoinPartitionHandler>(left, right, parameter, shared_from_this());
+std::shared_ptr<TableHandler> JoinGenerator::LazyJoin(std::shared_ptr<DataHandler> left,
+                                                      std::shared_ptr<DataHandler> right, const Row& parameter) {
+    if (left->GetHandlerType() == kPartitionHandler) {
+        return std::make_shared<LazyJoinPartitionHandler>(std::dynamic_pointer_cast<PartitionHandler>(left), right,
+                                                          parameter, shared_from_this());
+    }
+
+    auto left_tb = std::dynamic_pointer_cast<TableHandler>(left);
+    if (left->GetHandlerType() == kRowHandler) {
+        auto left_table = std::shared_ptr<MemTableHandler>(new MemTableHandler());
+        left_table->AddRow(std::dynamic_pointer_cast<RowHandler>(left)->GetValue());
+        left_tb = left_table;
+    }
+    return std::make_shared<LazyJoinTableHandler>(left_tb, right, parameter, shared_from_this());
+}
+
+std::shared_ptr<PartitionHandler> JoinGenerator::LazyJoinOptimized(std::shared_ptr<PartitionHandler> left,
+                                                                   std::shared_ptr<PartitionHandler> right,
+                                                                   const Row& parameter) {
+    return std::make_shared<LazyJoinPartitionHandler>(left, right, parameter, shared_from_this());
+}
+
+std::unique_ptr<RowIterator> JoinGenerator::InitRight(const Row& left_row, std::shared_ptr<PartitionHandler> right,
+                                                      const Row& param) {
+    auto partition_key = index_key_gen_.Gen(left_row, param);
+    auto right_seg = right->GetSegment(partition_key);
+    if (!right_seg) {
+        return {};
+    }
+    auto it = right_seg->GetIterator();
+    if (!it) {
+        return {};
+    }
+    it->SeekToFirst();
+    return it;
 }
 
 Row JoinGenerator::RowLastJoin(const Row& left_row,
@@ -276,6 +311,7 @@ Row JoinGenerator::RowLastJoinPartition(
     auto right_table = partition->GetSegment(partition_key);
     return RowLastJoinTable(left_row, right_table, parameter);
 }
+
 Row JoinGenerator::RowLastJoinTable(const Row& left_row,
                                     std::shared_ptr<TableHandler> table,
                                     const Row& parameter) {
@@ -326,6 +362,41 @@ Row JoinGenerator::RowLastJoinTable(const Row& left_row,
     return Row(left_slices_, left_row, right_slices_, Row());
 }
 
+std::pair<Row, bool> JoinGenerator::RowJoinIterator(const Row& left_row,
+                                                    std::unique_ptr<codec::RowIterator>& right_iter,
+                                                    const Row& parameter) {
+    if (!right_iter || !right_iter ->Valid()) {
+        return {Row(left_slices_, left_row, right_slices_, Row()), false};
+    }
+
+    if (!left_key_gen_.Valid() && !condition_gen_.Valid()) {
+        auto right_value = right_iter->GetValue();
+        return {Row(left_slices_, left_row, right_slices_, right_value), true};
+    }
+
+    std::string left_key_str = "";
+    if (left_key_gen_.Valid()) {
+        left_key_str = left_key_gen_.Gen(left_row, parameter);
+    }
+    while (right_iter->Valid()) {
+        if (right_group_gen_.Valid()) {
+            auto right_key_str = right_group_gen_.GetKey(right_iter->GetValue(), parameter);
+            if (left_key_gen_.Valid() && left_key_str != right_key_str) {
+                right_iter->Next();
+                continue;
+            }
+        }
+
+        Row joined_row(left_slices_, left_row, right_slices_, right_iter->GetValue());
+        if (!condition_gen_.Valid() || condition_gen_.Gen(joined_row, parameter)) {
+            return {joined_row, true};
+        }
+        right_iter->Next();
+    }
+
+    return {Row(left_slices_, left_row, right_slices_, Row()), false};
+}
+
 bool JoinGenerator::TableJoin(std::shared_ptr<TableHandler> left,
                               std::shared_ptr<TableHandler> right,
                               const Row& parameter,
@@ -730,6 +801,103 @@ std::shared_ptr<DataHandler> FilterGenerator::Filter(std::shared_ptr<TableHandle
 bool FilterGenerator::ValidIndex() const {
     return index_seek_gen_.Valid();
 }
+std::vector<std::shared_ptr<DataHandler>> InputsGenerator::RunInputs(
+    RunnerContext& ctx) {
+    std::vector<std::shared_ptr<DataHandler>> union_inputs;
+    for (auto runner : input_runners_) {
+        union_inputs.push_back(runner->RunWithCache(ctx));
+    }
+    return union_inputs;
+}
+
+std::vector<std::shared_ptr<PartitionHandler>> WindowUnionGenerator::PartitionEach(
+    std::vector<std::shared_ptr<DataHandler>> union_inputs, const Row& parameter) {
+    std::vector<std::shared_ptr<PartitionHandler>> union_partitions;
+    if (!windows_gen_.empty()) {
+        union_partitions.reserve(windows_gen_.size());
+        for (size_t i = 0; i < inputs_cnt_; i++) {
+            union_partitions.push_back(
+                windows_gen_[i].partition_gen_.Partition(union_inputs[i], parameter));
+        }
+    }
+    return union_partitions;
+}
+
+std::vector<std::shared_ptr<DataHandler>> WindowJoinGenerator::RunInputs(
+    RunnerContext& ctx) {
+    std::vector<std::shared_ptr<DataHandler>> union_inputs;
+    if (!input_runners_.empty()) {
+        for (auto runner : input_runners_) {
+            union_inputs.push_back(runner->RunWithCache(ctx));
+        }
+    }
+    return union_inputs;
+}
+Row WindowJoinGenerator::Join(
+    const Row& left_row,
+    const std::vector<std::shared_ptr<DataHandler>>& join_right_tables,
+    const Row& parameter) {
+    Row row = left_row;
+    for (size_t i = 0; i < join_right_tables.size(); i++) {
+        row = joins_gen_[i]->RowLastJoin(row, join_right_tables[i], parameter);
+    }
+    return row;
+}
+
+void WindowJoinGenerator::AddWindowJoin(const class Join& join, size_t left_slices, Runner* runner) {
+    size_t right_slices = runner->output_schemas()->GetSchemaSourceSize();
+    joins_gen_.push_back(JoinGenerator::Create(join, left_slices, right_slices));
+    AddInput(runner);
+}
+
+std::vector<std::shared_ptr<TableHandler>> RequestWindowUnionGenerator::GetRequestWindows(
+    const Row& row, const Row& parameter, std::vector<std::shared_ptr<DataHandler>> union_inputs) {
+    std::vector<std::shared_ptr<TableHandler>> union_segments(union_inputs.size());
+    for (size_t i = 0; i < union_inputs.size(); i++) {
+        union_segments[i] = windows_gen_[i].GetRequestWindow(row, parameter, union_inputs[i]);
+    }
+    return union_segments;
+}
+void RequestWindowUnionGenerator::AddWindowUnion(const RequestWindowOp& window_op, Runner* runner) {
+    windows_gen_.emplace_back(window_op);
+    AddInput(runner);
+}
+void WindowUnionGenerator::AddWindowUnion(const WindowOp& window_op, Runner* runner) {
+    windows_gen_.push_back(WindowGenerator(window_op));
+    AddInput(runner);
+}
+std::shared_ptr<TableHandler> RequestWindowGenertor::GetRequestWindow(const Row& row, const Row& parameter,
+                                                                      std::shared_ptr<DataHandler> input) {
+    auto segment = index_seek_gen_.SegmentOfKey(row, parameter, input);
 
+    if (filter_gen_.Valid()) {
+        auto filter_key = filter_gen_.GetKey(row, parameter);
+        segment = filter_gen_.Filter(parameter, segment, filter_key);
+    }
+    if (sort_gen_.Valid()) {
+        segment = sort_gen_.Sort(segment, true);
+    }
+    return segment;
+}
+std::shared_ptr<TableHandler> FilterKeyGenerator::Filter(const Row& parameter, std::shared_ptr<TableHandler> table,
+                                                         const std::string& request_keys) {
+    if (!filter_key_.Valid()) {
+        return table;
+    }
+    auto mem_table = std::shared_ptr<MemTimeTableHandler>(new MemTimeTableHandler());
+    mem_table->SetOrderType(table->GetOrderType());
+    auto iter = table->GetIterator();
+    if (iter) {
+        iter->SeekToFirst();
+        while (iter->Valid()) {
+            std::string keys = filter_key_.Gen(iter->GetValue(), parameter);
+            if (request_keys == keys) {
+                mem_table->AddRow(iter->GetKey(), iter->GetValue());
+            }
+            iter->Next();
+        }
+    }
+    return mem_table;
+}
 }  // namespace vm
 }  // namespace hybridse
diff --git a/hybridse/src/vm/generator.h b/hybridse/src/vm/generator.h
index 7bb49337794..c3f82c22256 100644
--- a/hybridse/src/vm/generator.h
+++ b/hybridse/src/vm/generator.h
@@ -29,6 +29,10 @@
 namespace hybridse {
 namespace vm {
 
+// forward
+class Runner;
+class RunnerContext;
+
 class ProjectFun {
  public:
     virtual Row operator()(const Row& row, const Row& parameter) const = 0;
@@ -166,25 +170,7 @@ class FilterKeyGenerator {
     virtual ~FilterKeyGenerator() {}
     const bool Valid() const { return filter_key_.Valid(); }
     std::shared_ptr<TableHandler> Filter(const Row& parameter, std::shared_ptr<TableHandler> table,
-                                         const std::string& request_keys) {
-        if (!filter_key_.Valid()) {
-            return table;
-        }
-        auto mem_table = std::shared_ptr<MemTimeTableHandler>(new MemTimeTableHandler());
-        mem_table->SetOrderType(table->GetOrderType());
-        auto iter = table->GetIterator();
-        if (iter) {
-            iter->SeekToFirst();
-            while (iter->Valid()) {
-                std::string keys = filter_key_.Gen(iter->GetValue(), parameter);
-                if (request_keys == keys) {
-                    mem_table->AddRow(iter->GetKey(), iter->GetValue());
-                }
-                iter->Next();
-            }
-        }
-        return mem_table;
-    }
+                                         const std::string& request_keys);
     const std::string GetKey(const Row& row, const Row& parameter) {
         return filter_key_.Valid() ? filter_key_.Gen(row, parameter) : "";
     }
@@ -287,18 +273,7 @@ class RequestWindowGenertor {
           index_seek_gen_(window.index_key_) {}
     virtual ~RequestWindowGenertor() {}
     std::shared_ptr<TableHandler> GetRequestWindow(const Row& row, const Row& parameter,
-                                                   std::shared_ptr<DataHandler> input) {
-        auto segment = index_seek_gen_.SegmentOfKey(row, parameter, input);
-
-        if (filter_gen_.Valid()) {
-            auto filter_key = filter_gen_.GetKey(row, parameter);
-            segment = filter_gen_.Filter(parameter, segment, filter_key);
-        }
-        if (sort_gen_.Valid()) {
-            segment = sort_gen_.Sort(segment, true);
-        }
-        return segment;
-    }
+                                                   std::shared_ptr<DataHandler> input);
     RequestWindowOp window_op_;
     FilterKeyGenerator filter_gen_;
     SortGenerator sort_gen_;
@@ -314,6 +289,7 @@ class JoinGenerator : public std::enable_shared_from_this<JoinGenerator> {
     }
 
     virtual ~JoinGenerator() {}
+
     bool TableJoin(std::shared_ptr<TableHandler> left, std::shared_ptr<TableHandler> right, const Row& parameter,
                    std::shared_ptr<MemTimeTableHandler> output);  // NOLINT
     bool TableJoin(std::shared_ptr<TableHandler> left, std::shared_ptr<PartitionHandler> right, const Row& parameter,
@@ -328,14 +304,29 @@ class JoinGenerator : public std::enable_shared_from_this<JoinGenerator> {
     Row RowLastJoin(const Row& left_row, std::shared_ptr<DataHandler> right, const Row& parameter);
     Row RowLastJoinDropLeftSlices(const Row& left_row, std::shared_ptr<DataHandler> right, const Row& parameter);
 
-    std::shared_ptr<PartitionHandler> LazyLastJoin(std::shared_ptr<PartitionHandler> left,
-                                                   std::shared_ptr<PartitionHandler> right, const Row& parameter);
+    // lazy join, supports left join and last join
+    std::shared_ptr<TableHandler> LazyJoin(std::shared_ptr<DataHandler> left, std::shared_ptr<DataHandler> right,
+                                           const Row& parameter);
+    std::shared_ptr<PartitionHandler> LazyJoinOptimized(std::shared_ptr<PartitionHandler> left,
+                                                        std::shared_ptr<PartitionHandler> right, const Row& parameter);
+
+    // init right iterator from left row, returns right iterator, nullptr if no match
+    // apply to standard SQL joins like left join, not for last join & concat join
+    std::unique_ptr<RowIterator> InitRight(const Row& left_row, std::shared_ptr<PartitionHandler> right,
+                                           const Row& param);
+
+    // row left join the iterator as right source, iterator is updated to the position of join, or
+    // last position if not found
+    // returns (joined_row, whether_any_right_row_matches)
+    std::pair<Row, bool> RowJoinIterator(const Row& left_row, std::unique_ptr<codec::RowIterator>& right_it,  // NOLINT
+                                         const Row& parameter);
 
     ConditionGenerator condition_gen_;
     KeyGenerator left_key_gen_;
     PartitionGenerator right_group_gen_;
     KeyGenerator index_key_gen_;
     SortGenerator right_sort_gen_;
+    node::JoinType join_type_;
 
  private:
     explicit JoinGenerator(const Join& join, size_t left_slices, size_t right_slices)
@@ -344,6 +335,7 @@ class JoinGenerator : public std::enable_shared_from_this<JoinGenerator> {
           right_group_gen_(join.right_key_),
           index_key_gen_(join.index_key_.fn_info()),
           right_sort_gen_(join.right_sort_),
+          join_type_(join.join_type()),
           left_slices_(left_slices),
           right_slices_(right_slices) {}
 
@@ -354,6 +346,60 @@ class JoinGenerator : public std::enable_shared_from_this<JoinGenerator> {
     size_t right_slices_;
 };
 
+class InputsGenerator {
+ public:
+    InputsGenerator() : inputs_cnt_(0), input_runners_() {}
+    virtual ~InputsGenerator() {}
+
+    std::vector<std::shared_ptr<DataHandler>> RunInputs(
+        RunnerContext& ctx);  // NOLINT
+    const bool Valid() const { return 0 != inputs_cnt_; }
+    void AddInput(Runner* runner) {
+        input_runners_.push_back(runner);
+        inputs_cnt_++;
+    }
+    size_t inputs_cnt_;
+    std::vector<Runner*> input_runners_;
+};
+class WindowUnionGenerator : public InputsGenerator {
+ public:
+    WindowUnionGenerator() : InputsGenerator() {}
+    virtual ~WindowUnionGenerator() {}
+    std::vector<std::shared_ptr<PartitionHandler>> PartitionEach(std::vector<std::shared_ptr<DataHandler>> union_inputs,
+                                                                 const Row& parameter);
+    void AddWindowUnion(const WindowOp& window_op, Runner* runner);
+    std::vector<WindowGenerator> windows_gen_;
+};
+
+class RequestWindowUnionGenerator : public InputsGenerator,
+                                    public std::enable_shared_from_this<RequestWindowUnionGenerator> {
+ public:
+    [[nodiscard]] static std::shared_ptr<RequestWindowUnionGenerator> Create() {
+        return std::shared_ptr<RequestWindowUnionGenerator>(new RequestWindowUnionGenerator());
+    }
+    virtual ~RequestWindowUnionGenerator() {}
+
+    void AddWindowUnion(const RequestWindowOp& window_op, Runner* runner);
+
+    std::vector<std::shared_ptr<TableHandler>> GetRequestWindows(
+        const Row& row, const Row& parameter, std::vector<std::shared_ptr<DataHandler>> union_inputs);
+    std::vector<RequestWindowGenertor> windows_gen_;
+
+ private:
+    RequestWindowUnionGenerator() : InputsGenerator() {}
+};
+
+class WindowJoinGenerator : public InputsGenerator {
+ public:
+    WindowJoinGenerator() : InputsGenerator() {}
+    virtual ~WindowJoinGenerator() {}
+    void AddWindowJoin(const Join& join, size_t left_slices, Runner* runner);
+    std::vector<std::shared_ptr<DataHandler>> RunInputs(RunnerContext& ctx);  // NOLINT
+    Row Join(const Row& left_row, const std::vector<std::shared_ptr<DataHandler>>& join_right_tables,
+             const Row& parameter);
+    std::vector<std::shared_ptr<JoinGenerator>> joins_gen_;
+};
+
 }  // namespace vm
 }  // namespace hybridse
 
diff --git a/hybridse/src/vm/mem_catalog.cc b/hybridse/src/vm/mem_catalog.cc
index 29a2e2791e4..f4f5897f10f 100644
--- a/hybridse/src/vm/mem_catalog.cc
+++ b/hybridse/src/vm/mem_catalog.cc
@@ -72,10 +72,6 @@ void MemWindowIterator::Seek(const std::string& key) {
 void MemWindowIterator::SeekToFirst() { iter_ = start_iter_; }
 void MemWindowIterator::Next() { iter_++; }
 bool MemWindowIterator::Valid() { return end_iter_ != iter_; }
-std::unique_ptr<RowIterator> MemWindowIterator::GetValue() {
-    return std::unique_ptr<RowIterator>(
-        new MemTimeTableIterator(&(iter_->second), schema_));
-}
 
 RowIterator* MemWindowIterator::GetRawValue() {
     return new MemTimeTableIterator(&(iter_->second), schema_);
@@ -114,12 +110,9 @@ MemTimeTableHandler::MemTimeTableHandler(const std::string& table_name,
       order_type_(kNoneOrder) {}
 
 MemTimeTableHandler::~MemTimeTableHandler() {}
-std::unique_ptr<RowIterator> MemTimeTableHandler::GetIterator() {
-    return std::make_unique<MemTimeTableIterator>(&table_, schema_);
-}
-std::unique_ptr<WindowIterator> MemTimeTableHandler::GetWindowIterator(
-    const std::string& idx_name) {
-    return std::unique_ptr<WindowIterator>();
+
+RowIterator* MemTimeTableHandler::GetRawIterator() {
+    return new MemTimeTableIterator(&table_, schema_);
 }
 
 void MemTimeTableHandler::AddRow(const uint64_t key, const Row& row) {
@@ -152,9 +145,6 @@ void MemTimeTableHandler::Reverse() {
                       ? kDescOrder
                       : kDescOrder == order_type_ ? kAscOrder : kNoneOrder;
 }
-RowIterator* MemTimeTableHandler::GetRawIterator() {
-    return new MemTimeTableIterator(&table_, schema_);
-}
 
 MemPartitionHandler::MemPartitionHandler()
     : PartitionHandler(),
@@ -232,15 +222,6 @@ void MemPartitionHandler::Print() {
     }
 }
 
-std::unique_ptr<WindowIterator> MemTableHandler::GetWindowIterator(
-    const std::string& idx_name) {
-    return std::unique_ptr<WindowIterator>();
-}
-std::unique_ptr<RowIterator> MemTableHandler::GetIterator() {
-    std::unique_ptr<MemTableIterator> it(
-        new MemTableIterator(&table_, schema_));
-    return std::move(it);
-}
 RowIterator* MemTableHandler::GetRawIterator() {
     return new MemTableIterator(&table_, schema_);
 }
diff --git a/hybridse/src/vm/runner.cc b/hybridse/src/vm/runner.cc
index 7d26cdf899d..eb284e6e945 100644
--- a/hybridse/src/vm/runner.cc
+++ b/hybridse/src/vm/runner.cc
@@ -18,19 +18,19 @@
 
 #include <memory>
 #include <string>
-#include <utility>
 #include <vector>
 
 #include "absl/status/status.h"
-#include "absl/strings/str_cat.h"
 #include "absl/strings/substitute.h"
 #include "base/texttable.h"
+#include "node/node_enum.h"
 #include "vm/catalog.h"
 #include "vm/catalog_wrapper.h"
 #include "vm/core_api.h"
 #include "vm/internal/eval.h"
 #include "vm/jit_runtime.h"
 #include "vm/mem_catalog.h"
+#include "vm/runner_ctx.h"
 
 DECLARE_bool(enable_spark_unsaferow_format);
 
@@ -40,915 +40,6 @@ namespace vm {
 #define MAX_DEBUG_LINES_CNT 20
 #define MAX_DEBUG_COLUMN_MAX 20
 
-static bool IsPartitionProvider(vm::PhysicalOpNode* n) {
-    switch (n->GetOpType()) {
-        case kPhysicalOpSimpleProject:
-        case kPhysicalOpRename:
-        case kPhysicalOpRequestJoin:
-            return IsPartitionProvider(n->GetProducer(0));
-        case kPhysicalOpDataProvider:
-            return dynamic_cast<vm::PhysicalDataProviderNode*>(n)->provider_type_ == kProviderTypePartition;
-        default:
-            return false;
-    }
-}
-
-static vm::PhysicalDataProviderNode* request_node(vm::PhysicalOpNode* n) {
-    switch (n->GetOpType()) {
-        case kPhysicalOpDataProvider:
-            return dynamic_cast<vm::PhysicalDataProviderNode*>(n);
-        default:
-            return request_node(n->GetProducer(0));
-    }
-}
-
-// Build Runner for each physical node
-// return cluster task of given runner
-//
-// DataRunner(kProviderTypePartition) --> cluster task
-// RequestRunner --> local task
-// DataRunner(kProviderTypeTable) --> LocalTask, Unsupport in distribute
-// database
-//
-// SimpleProjectRunner --> inherit task
-// TableProjectRunner --> inherit task
-// WindowAggRunner --> LocalTask , Unsupport in distribute database
-// GroupAggRunner --> LocalTask, Unsupport in distribute database
-//
-// RowProjectRunner --> inherit task
-// ConstProjectRunner --> local task
-//
-// RequestUnionRunner
-//      --> complete route_info of right cluster task
-//      --> build proxy runner if need
-// RequestJoinRunner
-//      --> complete route_info of right cluster task
-//      --> build proxy runner if need
-// kPhysicalOpJoin
-//      --> kJoinTypeLast->RequestJoinRunner
-//              --> complete route_info of right cluster task
-//              --> build proxy runner if need
-//      --> kJoinTypeConcat
-//              --> build proxy runner if need
-// kPhysicalOpPostRequestUnion
-//      --> build proxy runner if need
-// GroupRunner --> LocalTask, Unsupport in distribute database
-// kPhysicalOpFilter
-// kPhysicalOpLimit
-// kPhysicalOpRename
-ClusterTask RunnerBuilder::Build(PhysicalOpNode* node, Status& status) {
-    auto fail = InvalidTask();
-    if (nullptr == node) {
-        status.msg = "fail to build runner : physical node is null";
-        status.code = common::kExecutionPlanError;
-        LOG(WARNING) << status;
-        return fail;
-    }
-    auto iter = task_map_.find(node);
-    if (iter != task_map_.cend()) {
-        iter->second.GetRoot()->EnableCache();
-        return iter->second;
-    }
-    switch (node->GetOpType()) {
-        case kPhysicalOpDataProvider: {
-            auto op = dynamic_cast<const PhysicalDataProviderNode*>(node);
-            switch (op->provider_type_) {
-                case kProviderTypeTable: {
-                    auto provider =
-                        dynamic_cast<const PhysicalTableProviderNode*>(node);
-                    DataRunner* runner = CreateRunner<DataRunner>(id_++, node->schemas_ctx(), provider->table_handler_);
-                    return RegisterTask(node, CommonTask(runner));
-                }
-                case kProviderTypePartition: {
-                    auto provider =
-                        dynamic_cast<const PhysicalPartitionProviderNode*>(
-                            node);
-                    DataRunner* runner = CreateRunner<DataRunner>(
-                        id_++, node->schemas_ctx(), provider->table_handler_->GetPartition(provider->index_name_));
-                    if (support_cluster_optimized_) {
-                        return RegisterTask(
-                            node, UnCompletedClusterTask(
-                                      runner, provider->table_handler_,
-                                      provider->index_name_));
-                    } else {
-                        return RegisterTask(node, CommonTask(runner));
-                    }
-                }
-                case kProviderTypeRequest: {
-                    RequestRunner* runner = CreateRunner<RequestRunner>(id_++, node->schemas_ctx());
-                    return RegisterTask(node, BuildRequestTask(runner));
-                }
-                default: {
-                    status.msg = "fail to support data provider type " +
-                                 DataProviderTypeName(op->provider_type_);
-                    status.code = common::kExecutionPlanError;
-                    LOG(WARNING) << status;
-                    return RegisterTask(node, fail);
-                }
-            }
-        }
-        case kPhysicalOpSimpleProject: {
-            auto cluster_task = Build(node->producers().at(0), status);
-            if (!cluster_task.IsValid()) {
-                status.msg = "fail to build input runner for simple project:\n" + node->GetTreeString();
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto op = dynamic_cast<const PhysicalSimpleProjectNode*>(node);
-            int select_slice = op->GetSelectSourceIndex();
-            if (select_slice >= 0) {
-                SelectSliceRunner* runner =
-                    CreateRunner<SelectSliceRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), select_slice);
-                return RegisterTask(node,
-                                    UnaryInheritTask(cluster_task, runner));
-            } else {
-                SimpleProjectRunner* runner = CreateRunner<SimpleProjectRunner>(
-                    id_++, node->schemas_ctx(), op->GetLimitCnt(), op->project().fn_info());
-                return RegisterTask(node,
-                                    UnaryInheritTask(cluster_task, runner));
-            }
-        }
-        case kPhysicalOpConstProject: {
-            auto op = dynamic_cast<const PhysicalConstProjectNode*>(node);
-            ConstProjectRunner* runner = CreateRunner<ConstProjectRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(),
-                                                                          op->project().fn_info());
-            return RegisterTask(node, CommonTask(runner));
-        }
-        case kPhysicalOpProject: {
-            auto cluster_task =  // NOLINT
-                Build(node->producers().at(0), status);
-            if (!cluster_task.IsValid()) {
-                status.msg = "fail to build runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto input = cluster_task.GetRoot();
-            auto op = dynamic_cast<const PhysicalProjectNode*>(node);
-            switch (op->project_type_) {
-                case kTableProject: {
-                    if (support_cluster_optimized_) {
-                        // Non-support table join under distribution env
-                        status.msg = "fail to build cluster with table project";
-                        status.code = common::kExecutionPlanError;
-                        LOG(WARNING) << status;
-                        return fail;
-                    }
-                    TableProjectRunner* runner = CreateRunner<TableProjectRunner>(
-                        id_++, node->schemas_ctx(), op->GetLimitCnt(), op->project().fn_info());
-                    return RegisterTask(node,
-                                        UnaryInheritTask(cluster_task, runner));
-                }
-                case kReduceAggregation: {
-                    ReduceRunner* runner = CreateRunner<ReduceRunner>(
-                        id_++, node->schemas_ctx(), op->GetLimitCnt(),
-                        dynamic_cast<const PhysicalReduceAggregationNode*>(node)->having_condition_,
-                        op->project().fn_info());
-                    return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
-                }
-                case kAggregation: {
-                    auto agg_node = dynamic_cast<const PhysicalAggregationNode*>(node);
-                    if (agg_node == nullptr) {
-                        status.msg = "fail to build AggRunner: input node is not PhysicalAggregationNode";
-                        status.code = common::kExecutionPlanError;
-                        return fail;
-                    }
-                    AggRunner* runner = CreateRunner<AggRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(),
-                                                                agg_node->having_condition_, op->project().fn_info());
-                    return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
-                }
-                case kGroupAggregation: {
-                    if (support_cluster_optimized_) {
-                        // Non-support group aggregation under distribution env
-                        status.msg =
-                            "fail to build cluster with group agg project";
-                        status.code = common::kExecutionPlanError;
-                        LOG(WARNING) << status;
-                        return fail;
-                    }
-                    auto op =
-                        dynamic_cast<const PhysicalGroupAggrerationNode*>(node);
-                    GroupAggRunner* runner =
-                        CreateRunner<GroupAggRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->group_,
-                                                     op->having_condition_, op->project().fn_info());
-                    return RegisterTask(node,
-                                        UnaryInheritTask(cluster_task, runner));
-                }
-                case kWindowAggregation: {
-                    if (support_cluster_optimized_) {
-                        // Non-support table window aggregation join under distribution env
-                        status.msg =
-                            "fail to build cluster with window agg project";
-                        status.code = common::kExecutionPlanError;
-                        LOG(WARNING) << status;
-                        return fail;
-                    }
-                    auto op = dynamic_cast<const PhysicalWindowAggrerationNode*>(node);
-                    WindowAggRunner* runner = CreateRunner<WindowAggRunner>(
-                        id_++, op->schemas_ctx(), op->GetLimitCnt(), op->window_, op->project().fn_info(),
-                        op->instance_not_in_window(), op->exclude_current_time(),
-                        op->need_append_input() ? node->GetProducer(0)->schemas_ctx()->GetSchemaSourceSize() : 0);
-                    size_t input_slices = input->output_schemas()->GetSchemaSourceSize();
-                    if (!op->window_unions_.Empty()) {
-                        for (auto window_union :
-                             op->window_unions_.window_unions_) {
-                            auto union_task = Build(window_union.first, status);
-                            auto union_table = union_task.GetRoot();
-                            if (nullptr == union_table) {
-                                return RegisterTask(node, fail);
-                            }
-                            runner->AddWindowUnion(window_union.second,
-                                                   union_table);
-                        }
-                    }
-                    if (!op->window_joins_.Empty()) {
-                        for (auto& window_join :
-                             op->window_joins_.window_joins_) {
-                            auto join_task =  // NOLINT
-                                Build(window_join.first, status);
-                            auto join_right_runner = join_task.GetRoot();
-                            if (nullptr == join_right_runner) {
-                                return RegisterTask(node, fail);
-                            }
-                            runner->AddWindowJoin(window_join.second,
-                                                  input_slices,
-                                                  join_right_runner);
-                        }
-                    }
-                    return RegisterTask(node,
-                                        UnaryInheritTask(cluster_task, runner));
-                }
-                case kRowProject: {
-                    RowProjectRunner* runner = CreateRunner<RowProjectRunner>(
-                        id_++, node->schemas_ctx(), op->GetLimitCnt(), op->project().fn_info());
-                    return RegisterTask(node,
-                                        UnaryInheritTask(cluster_task, runner));
-                }
-                default: {
-                    status.msg = "fail to support project type " +
-                                 ProjectTypeName(op->project_type_);
-                    status.code = common::kExecutionPlanError;
-                    LOG(WARNING) << status;
-                    return RegisterTask(node, fail);
-                }
-            }
-        }
-        case kPhysicalOpRequestUnion: {
-            auto left_task = Build(node->producers().at(0), status);
-            if (!left_task.IsValid()) {
-                status.msg = "fail to build left input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto right_task = Build(node->producers().at(1), status);
-            auto right = right_task.GetRoot();
-            if (!right_task.IsValid()) {
-                status.msg = "fail to build right input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto op = dynamic_cast<const PhysicalRequestUnionNode*>(node);
-            RequestUnionRunner* runner =
-                CreateRunner<RequestUnionRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->window().range_,
-                                                 op->exclude_current_time(), op->output_request_row());
-            Key index_key;
-            if (!op->instance_not_in_window()) {
-                runner->AddWindowUnion(op->window_, right);
-                index_key = op->window_.index_key_;
-            }
-            if (!op->window_unions_.Empty()) {
-                for (auto window_union : op->window_unions_.window_unions_) {
-                    auto union_task = Build(window_union.first, status);
-                    if (!status.isOK()) {
-                        LOG(WARNING) << status;
-                        return fail;
-                    }
-                    auto union_table = union_task.GetRoot();
-                    if (nullptr == union_table) {
-                        return RegisterTask(node, fail);
-                    }
-                    runner->AddWindowUnion(window_union.second, union_table);
-                    if (!index_key.ValidKey()) {
-                        index_key = window_union.second.index_key_;
-                        right_task = union_task;
-                        right_task.SetRoot(right);
-                    }
-                }
-            }
-            if (support_cluster_optimized_) {
-                if (IsPartitionProvider(node->GetProducer(0))) {
-                    // route by index of the left source, and it should uncompleted
-                    auto& route_info = left_task.GetRouteInfo();
-                    runner->AddProducer(left_task.GetRoot());
-                    runner->AddProducer(right_task.GetRoot());
-                    return RegisterTask(node,
-                                        UnCompletedClusterTask(runner, route_info.table_handler_, route_info.index_));
-                }
-            }
-            return RegisterTask(
-                node, BinaryInherit(left_task, right_task, runner, index_key,
-                                    kRightBias));
-        }
-        case kPhysicalOpRequestAggUnion: {
-            return BuildRequestAggUnionTask(node, status);
-        }
-        case kPhysicalOpRequestJoin: {
-            auto left_task = Build(node->GetProducer(0), status);
-            if (!left_task.IsValid()) {
-                status.msg = "fail to build left input runner for: " + node->GetProducer(0)->GetTreeString();
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto left = left_task.GetRoot();
-            auto right_task = Build(node->GetProducer(1), status);
-            if (!right_task.IsValid()) {
-                status.msg = "fail to build right input runner for: " + node->GetProducer(1)->GetTreeString();
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto right = right_task.GetRoot();
-            auto op = dynamic_cast<const PhysicalRequestJoinNode*>(node);
-            switch (op->join().join_type()) {
-                case node::kJoinTypeLast: {
-                    RequestLastJoinRunner* runner = CreateRunner<RequestLastJoinRunner>(
-                        id_++, node->schemas_ctx(), op->GetLimitCnt(), op->join_,
-                        left->output_schemas()->GetSchemaSourceSize(), right->output_schemas()->GetSchemaSourceSize(),
-                        op->output_right_only());
-
-                    if (support_cluster_optimized_) {
-                        if (IsPartitionProvider(node->GetProducer(0))) {
-                            // Partion left join partition, route by index of the left source, and it should uncompleted
-                            auto& route_info = left_task.GetRouteInfo();
-                            runner->AddProducer(left_task.GetRoot());
-                            runner->AddProducer(right_task.GetRoot());
-                            return RegisterTask(
-                                node, UnCompletedClusterTask(runner, route_info.table_handler_, route_info.index_));
-                        }
-
-                        if (right_task.IsCompletedClusterTask() && right_task.GetRouteInfo().lazy_route_ &&
-                            !op->join_.index_key_.ValidKey()) {
-                            // join (.., filter<optimized>)
-                            auto& route_info = right_task.GetRouteInfo();
-                            runner->AddProducer(left_task.GetRoot());
-                            runner->AddProducer(right_task.GetRoot());
-                            return RegisterTask(node, ClusterTask(runner, {}, route_info));
-                        }
-                    }
-
-                    return RegisterTask(
-                        node, BinaryInherit(left_task, right_task, runner, op->join().index_key(), kLeftBias));
-                }
-                case node::kJoinTypeConcat: {
-                    ConcatRunner* runner = CreateRunner<ConcatRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt());
-                    if (support_cluster_optimized_) {
-                        if (right_task.IsCompletedClusterTask() && right_task.GetRouteInfo().lazy_route_ &&
-                            !op->join_.index_key_.ValidKey()) {
-                            // concat join (.., filter<optimized>)
-                            runner->AddProducer(left_task.GetRoot());
-                            runner->AddProducer(right_task.GetRoot());
-                            return RegisterTask(node, ClusterTask(runner, {}, RouteInfo{}));
-                        }
-
-                        // concat join (any(tx), any(tx)), tx is not request table
-                        auto left = request_node(node->GetProducer(0));
-                        // auto right = request_node(node->GetProducer(1));
-                        if (left->provider_type_ == kProviderTypePartition) {
-                            runner->AddProducer(left_task.GetRoot());
-                            runner->AddProducer(right_task.GetRoot());
-                            return RegisterTask(node, ClusterTask(runner, {}, left_task.GetRouteInfo()));
-                        }
-                    }
-                    return RegisterTask(node, BinaryInherit(left_task, right_task, runner, Key(), kNoBias));
-                }
-                default: {
-                    status.code = common::kExecutionPlanError;
-                    status.msg = "can't handle join type " +
-                                 node::JoinTypeName(op->join().join_type());
-                    LOG(WARNING) << status;
-                    return RegisterTask(node, fail);
-                }
-            }
-        }
-        case kPhysicalOpJoin: {
-            auto left_task = Build(node->producers().at(0), status);
-            if (!left_task.IsValid()) {
-                status.msg = "fail to build left input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto left = left_task.GetRoot();
-            auto right_task = Build(node->producers().at(1), status);
-            if (!right_task.IsValid()) {
-                status.msg = "fail to build right input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto right = right_task.GetRoot();
-            auto op = dynamic_cast<const PhysicalJoinNode*>(node);
-            switch (op->join().join_type()) {
-                case node::kJoinTypeLast: {
-                    // TableLastJoin convert to
-                    // Batch Request RequestLastJoin
-                    if (support_cluster_optimized_) {
-                        RequestLastJoinRunner* runner = CreateRunner<RequestLastJoinRunner>(
-                            id_++, node->schemas_ctx(), op->GetLimitCnt(), op->join_,
-                            left->output_schemas()->GetSchemaSourceSize(),
-                            right->output_schemas()->GetSchemaSourceSize(), op->output_right_only_);
-                        return RegisterTask(
-                            node,
-                            BinaryInherit(left_task, right_task, runner,
-                                          op->join().index_key(), kLeftBias));
-                    } else {
-                        LastJoinRunner* runner =
-                            CreateRunner<LastJoinRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->join_,
-                                                         left->output_schemas()->GetSchemaSourceSize(),
-                                                         right->output_schemas()->GetSchemaSourceSize());
-                        return RegisterTask(
-                            node, BinaryInherit(left_task, right_task, runner,
-                                                Key(), kLeftBias));
-                    }
-                }
-                case node::kJoinTypeConcat: {
-                    ConcatRunner* runner = CreateRunner<ConcatRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt());
-                    return RegisterTask(
-                        node, BinaryInherit(left_task, right_task, runner,
-                                            op->join().index_key(), kNoBias));
-                }
-                default: {
-                    status.code = common::kExecutionPlanError;
-                    status.msg = "can't handle join type " +
-                                 node::JoinTypeName(op->join().join_type());
-                    LOG(WARNING) << status;
-                    return RegisterTask(node, fail);
-                }
-            }
-        }
-        case kPhysicalOpGroupBy: {
-            if (support_cluster_optimized_) {
-                // Non-support group by under distribution env
-                status.msg = "fail to build cluster with group by node";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto cluster_task = Build(node->producers().at(0), status);
-            if (!cluster_task.IsValid()) {
-                status.msg = "fail to build input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto op = dynamic_cast<const PhysicalGroupNode*>(node);
-            GroupRunner* runner = CreateRunner<GroupRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->group());
-            return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
-        }
-        case kPhysicalOpFilter: {
-            auto producer_task = Build(node->GetProducer(0), status);
-            if (!producer_task.IsValid()) {
-                status.msg = "fail to build input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto op = dynamic_cast<const PhysicalFilterNode*>(node);
-            FilterRunner* runner =
-                CreateRunner<FilterRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->filter_);
-            // under cluster, filter task might be completed or uncompleted
-            // based on whether filter node has the index_key underlaying DataTask requires
-            ClusterTask out;
-            if (support_cluster_optimized_) {
-                auto& route_info_ref = producer_task.GetRouteInfo();
-                if (runner->filter_gen_.ValidIndex()) {
-                    // complete the route info
-                    RouteInfo lazy_route_info(route_info_ref.index_, op->filter().index_key(),
-                                            std::make_shared<ClusterTask>(producer_task),
-                                            route_info_ref.table_handler_);
-                    lazy_route_info.lazy_route_ = true;
-                    runner->AddProducer(producer_task.GetRoot());
-                    out = ClusterTask(runner, {}, lazy_route_info);
-                } else {
-                    runner->AddProducer(producer_task.GetRoot());
-                    out = UnCompletedClusterTask(runner, route_info_ref.table_handler_, route_info_ref.index_);
-                }
-            } else {
-                out = UnaryInheritTask(producer_task, runner);
-            }
-            return RegisterTask(node, out);
-        }
-        case kPhysicalOpLimit: {
-            auto cluster_task =  // NOLINT
-                Build(node->producers().at(0), status);
-            if (!cluster_task.IsValid()) {
-                status.msg = "fail to build input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto op = dynamic_cast<const PhysicalLimitNode*>(node);
-            if (!op->GetLimitCnt().has_value() || op->GetLimitOptimized()) {
-                return RegisterTask(node, cluster_task);
-            }
-            // limit runner always expect limit not empty
-            LimitRunner* runner =
-                CreateRunner<LimitRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt().value());
-            return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
-        }
-        case kPhysicalOpRename: {
-            return Build(node->producers().at(0), status);
-        }
-        case kPhysicalOpPostRequestUnion: {
-            auto left_task = Build(node->producers().at(0), status);
-            if (!left_task.IsValid()) {
-                status.msg = "fail to build left input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto right_task = Build(node->producers().at(1), status);
-            if (!right_task.IsValid()) {
-                status.msg = "fail to build right input runner";
-                status.code = common::kExecutionPlanError;
-                LOG(WARNING) << status;
-                return fail;
-            }
-            auto union_op = dynamic_cast<PhysicalPostRequestUnionNode*>(node);
-            PostRequestUnionRunner* runner =
-                CreateRunner<PostRequestUnionRunner>(id_++, node->schemas_ctx(), union_op->request_ts());
-            return RegisterTask(node, BinaryInherit(left_task, right_task,
-                                                    runner, Key(), kRightBias));
-        }
-        default: {
-            status.code = common::kExecutionPlanError;
-            status.msg = absl::StrCat("Non-support node ", PhysicalOpTypeName(node->GetOpType()),
-                                      " for OpenMLDB Online execute mode");
-            LOG(WARNING) << status;
-            return RegisterTask(node, fail);
-        }
-    }
-}
-
-ClusterTask RunnerBuilder::BuildRequestAggUnionTask(PhysicalOpNode* node, Status& status) {
-    auto fail = InvalidTask();
-    auto request_task = Build(node->producers().at(0), status);
-    if (!request_task.IsValid()) {
-        status.msg = "fail to build request input runner";
-        status.code = common::kExecutionPlanError;
-        LOG(WARNING) << status;
-        return fail;
-    }
-    auto base_table_task = Build(node->producers().at(1), status);
-    auto base_table = base_table_task.GetRoot();
-    if (!base_table_task.IsValid()) {
-        status.msg = "fail to build base_table input runner";
-        status.code = common::kExecutionPlanError;
-        LOG(WARNING) << status;
-        return fail;
-    }
-    auto agg_table_task = Build(node->producers().at(2), status);
-    auto agg_table = agg_table_task.GetRoot();
-    if (!agg_table_task.IsValid()) {
-        status.msg = "fail to build agg_table input runner";
-        status.code = common::kExecutionPlanError;
-        LOG(WARNING) << status;
-        return fail;
-    }
-    auto op = dynamic_cast<const PhysicalRequestAggUnionNode*>(node);
-    RequestAggUnionRunner* runner =
-        CreateRunner<RequestAggUnionRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->window().range_,
-                                            op->exclude_current_time(), op->output_request_row(), op->project_);
-    Key index_key;
-    if (!op->instance_not_in_window()) {
-        index_key = op->window_.index_key();
-        runner->AddWindowUnion(op->window_, base_table);
-        runner->AddWindowUnion(op->agg_window_, agg_table);
-    }
-    auto task = RegisterTask(node, MultipleInherit({&request_task, &base_table_task, &agg_table_task}, runner,
-                                                   index_key, kRightBias));
-    if (!runner->InitAggregator()) {
-        return fail;
-    } else {
-        return task;
-    }
-}
-
-ClusterTask RunnerBuilder::BinaryInherit(const ClusterTask& left,
-                                         const ClusterTask& right,
-                                         Runner* runner, const Key& index_key,
-                                         const TaskBiasType bias) {
-    if (support_cluster_optimized_) {
-        return BuildClusterTaskForBinaryRunner(left, right, runner, index_key,
-                                               bias);
-    } else {
-        return BuildLocalTaskForBinaryRunner(left, right, runner);
-    }
-}
-
-ClusterTask RunnerBuilder::MultipleInherit(const std::vector<const ClusterTask*>& children,
-                                                           Runner* runner, const Key& index_key,
-                                                           const TaskBiasType bias) {
-    // TODO(zhanghao): currently only kRunnerRequestAggUnion uses MultipleInherit
-    const ClusterTask* request = children[0];
-    if (runner->type_ != kRunnerRequestAggUnion) {
-        LOG(WARNING) << "MultipleInherit only support RequestAggUnionRunner";
-        return ClusterTask();
-    }
-
-    if (children.size() < 3) {
-        LOG(WARNING) << "MultipleInherit should be called for children size >= 3, but children.size() = "
-                     << children.size();
-        return ClusterTask();
-    }
-
-    for (const auto child : children) {
-        if (child->IsClusterTask()) {
-            if (index_key.ValidKey()) {
-                for (size_t i = 1; i < children.size(); i++) {
-                    if (!children[i]->IsClusterTask()) {
-                        LOG(WARNING) << "Fail to build cluster task for "
-                                     << "[" << runner->id_ << "]" << RunnerTypeName(runner->type_)
-                                     << ": can't handler local task with index key";
-                        return ClusterTask();
-                    }
-                    if (children[i]->IsCompletedClusterTask()) {
-                        LOG(WARNING) << "Fail to complete cluster task for "
-                                     << "[" << runner->id_ << "]" << RunnerTypeName(runner->type_)
-                                     << ": task is completed already";
-                        return ClusterTask();
-                    }
-                }
-                for (size_t i = 0; i < children.size(); i++) {
-                    runner->AddProducer(children[i]->GetRoot());
-                }
-                // build complete cluster task
-                // TODO(zhanghao): assume all children can be handled with one single tablet
-                const RouteInfo& route_info = children[1]->GetRouteInfo();
-                ClusterTask cluster_task(runner, std::vector<Runner*>({runner}),
-                                         RouteInfo(route_info.index_, index_key,
-                                                   std::make_shared<ClusterTask>(*request), route_info.table_handler_));
-                return cluster_task;
-            }
-        }
-    }
-
-    // if all are local tasks
-    for (const auto child : children) {
-        runner->AddProducer(child->GetRoot());
-    }
-    return ClusterTask(runner);
-}
-
-ClusterTask RunnerBuilder::BuildLocalTaskForBinaryRunner(
-    const ClusterTask& left, const ClusterTask& right, Runner* runner) {
-    if (left.IsClusterTask() || right.IsClusterTask()) {
-        LOG(WARNING) << "fail to build local task for binary runner";
-        return ClusterTask();
-    }
-    runner->AddProducer(left.GetRoot());
-    runner->AddProducer(right.GetRoot());
-    return ClusterTask(runner);
-}
-ClusterTask RunnerBuilder::BuildClusterTaskForBinaryRunner(
-    const ClusterTask& left, const ClusterTask& right, Runner* runner,
-    const Key& index_key, const TaskBiasType bias) {
-    if (nullptr == runner) {
-        LOG(WARNING) << "Fail to build cluster task for null runner";
-        return ClusterTask();
-    }
-    ClusterTask new_left = left;
-    ClusterTask new_right = right;
-
-    // if index key is valid, try to complete route info of right cluster task
-    if (index_key.ValidKey()) {
-        if (!right.IsClusterTask()) {
-            LOG(WARNING) << "Fail to build cluster task for "
-                         << "[" << runner->id_ << "]"
-                         << RunnerTypeName(runner->type_)
-                         << ": can't handler local task with index key";
-            return ClusterTask();
-        }
-        if (right.IsCompletedClusterTask()) {
-            // completed with same index key
-            std::stringstream ss;
-            right.Print(ss, " ");
-            LOG(WARNING) << "Fail to complete cluster task for "
-                         << "[" << runner->id_ << "]" << RunnerTypeName(runner->type_)
-                         << ": task is completed already:\n"
-                         << ss.str();
-            LOG(WARNING) << "index key is " << index_key.ToString();
-            return ClusterTask();
-        }
-        RequestRunner* request_runner = CreateRunner<RequestRunner>(id_++, new_left.GetRoot()->output_schemas());
-        runner->AddProducer(request_runner);
-        runner->AddProducer(new_right.GetRoot());
-
-        const RouteInfo& right_route_info = new_right.GetRouteInfo();
-        ClusterTask cluster_task(runner, std::vector<Runner*>({runner}),
-                                 RouteInfo(right_route_info.index_, index_key, std::make_shared<ClusterTask>(new_left),
-                                           right_route_info.table_handler_));
-
-        if (new_left.IsCompletedClusterTask()) {
-            return BuildProxyRunnerForClusterTask(cluster_task);
-        } else {
-            return cluster_task;
-        }
-    }
-
-    // Concat
-    //      Agg1(Proxy(RequestUnion(Request, DATA))
-    //      Agg2(Proxy(RequestUnion(Request, DATA))
-    // -->
-    // Proxy(Concat
-    //          Agg1(RequestUnion(Request,DATA)
-    //          Agg2(RequestUnion(Request,DATA)
-    //      )
-
-    // if left and right is completed cluster task
-    while (new_left.IsCompletedClusterTask() &&
-           new_right.IsCompletedClusterTask()) {
-        // merge left and right task if tasks can be merged
-        if (ClusterTask::TaskCanBeMerge(new_left, new_right)) {
-            ClusterTask task = ClusterTask::TaskMerge(runner, new_left, new_right);
-            runner->AddProducer(new_left.GetRoot());
-            runner->AddProducer(new_right.GetRoot());
-            return task;
-        }
-        switch (bias) {
-            case kNoBias: {
-                // Add build left proxy task into cluster job,
-                // and update new_left
-                new_left = BuildProxyRunnerForClusterTask(new_left);
-                new_right = BuildProxyRunnerForClusterTask(new_right);
-                break;
-            }
-            case kLeftBias: {
-                // build proxy runner for right task
-                new_right = BuildProxyRunnerForClusterTask(new_right);
-                break;
-            }
-            case kRightBias: {
-                // build proxy runner for right task
-                new_left = BuildProxyRunnerForClusterTask(new_left);
-                break;
-            }
-        }
-    }
-    if (new_left.IsUnCompletedClusterTask()) {
-        LOG(WARNING) << "can't handler uncompleted cluster task from left:" << new_left;
-        return ClusterTask();
-    }
-    if (new_right.IsUnCompletedClusterTask()) {
-        LOG(WARNING) << "can't handler uncompleted cluster task from right:" << new_right;
-        return ClusterTask();
-    }
-
-    // prepare left and right for runner
-
-    // left local task + right cluster task
-    if (new_right.IsCompletedClusterTask()) {
-        switch (bias) {
-            case kNoBias:
-            case kLeftBias: {
-                new_right = BuildProxyRunnerForClusterTask(new_right);
-                runner->AddProducer(new_left.GetRoot());
-                runner->AddProducer(new_right.GetRoot());
-                return ClusterTask::TaskMergeToLeft(runner, new_left,
-                                                    new_right);
-            }
-            case kRightBias: {
-                auto new_left_root_input =
-                    ClusterTask::GetRequestInput(new_left);
-                auto new_right_root_input =
-                    ClusterTask::GetRequestInput(new_right);
-                // task can be merge simply when their inputs are the same
-                if (new_right_root_input == new_left_root_input) {
-                    runner->AddProducer(new_left.GetRoot());
-                    runner->AddProducer(new_right.GetRoot());
-                    return ClusterTask::TaskMergeToRight(runner, new_left,
-                                                         new_right);
-                } else if (new_left_root_input == nullptr) {
-                    // reset replace inputs as request runner
-                    new_right.ResetInputs(nullptr);
-                    runner->AddProducer(new_left.GetRoot());
-                    runner->AddProducer(new_right.GetRoot());
-                    return ClusterTask::TaskMergeToRight(runner, new_left,
-                                                         new_right);
-                } else {
-                    LOG(WARNING) << "fail to merge local left task and cluster "
-                                    "right task";
-                    return ClusterTask();
-                }
-            }
-            default:
-                return ClusterTask();
-        }
-    } else if (new_left.IsCompletedClusterTask()) {
-        switch (bias) {
-            case kNoBias:
-            case kRightBias: {
-                new_left = BuildProxyRunnerForClusterTask(new_left);
-                runner->AddProducer(new_left.GetRoot());
-                runner->AddProducer(new_right.GetRoot());
-                return ClusterTask::TaskMergeToRight(runner, new_left,
-                                                     new_right);
-            }
-            case kLeftBias: {
-                auto new_left_root_input =
-                    ClusterTask::GetRequestInput(new_right);
-                auto new_right_root_input =
-                    ClusterTask::GetRequestInput(new_right);
-                // task can be merge simply
-                if (new_right_root_input == new_left_root_input) {
-                    runner->AddProducer(new_left.GetRoot());
-                    runner->AddProducer(new_right.GetRoot());
-                    return ClusterTask::TaskMergeToLeft(runner, new_left,
-                                                        new_right);
-                } else if (new_right_root_input == nullptr) {
-                    // reset replace inputs as request runner
-                    new_left.ResetInputs(nullptr);
-                    runner->AddProducer(new_left.GetRoot());
-                    runner->AddProducer(new_right.GetRoot());
-                    return ClusterTask::TaskMergeToLeft(runner, new_left,
-                                                        new_right);
-                } else {
-                    LOG(WARNING) << "fail to merge cluster left task and local "
-                                    "right task";
-                    return ClusterTask();
-                }
-            }
-            default:
-                return ClusterTask();
-        }
-    } else {
-        runner->AddProducer(new_left.GetRoot());
-        runner->AddProducer(new_right.GetRoot());
-        return ClusterTask::TaskMergeToLeft(runner, new_left, new_right);
-    }
-}
-ClusterTask RunnerBuilder::BuildProxyRunnerForClusterTask(
-    const ClusterTask& task) {
-    if (!task.IsCompletedClusterTask()) {
-        LOG(WARNING)
-            << "Fail to build proxy runner, cluster task is uncompleted";
-        return ClusterTask();
-    }
-    // return cached proxy runner
-    Runner* proxy_runner = nullptr;
-    auto find_iter = proxy_runner_map_.find(task.GetRoot());
-    if (find_iter != proxy_runner_map_.cend()) {
-        proxy_runner = find_iter->second;
-        proxy_runner->EnableCache();
-    } else {
-        uint32_t remote_task_id = cluster_job_.AddTask(task);
-        ProxyRequestRunner* new_proxy_runner = CreateRunner<ProxyRequestRunner>(
-            id_++, remote_task_id, task.GetIndexKeyInput(), task.GetRoot()->output_schemas());
-        if (nullptr != task.GetIndexKeyInput()) {
-            task.GetIndexKeyInput()->EnableCache();
-        }
-        if (task.GetRoot()->need_batch_cache()) {
-            new_proxy_runner->EnableBatchCache();
-        }
-        proxy_runner_map_.insert(
-            std::make_pair(task.GetRoot(), new_proxy_runner));
-        proxy_runner = new_proxy_runner;
-    }
-
-    if (task.GetInput()) {
-        return UnaryInheritTask(*task.GetInput(), proxy_runner);
-    } else {
-        return UnaryInheritTask(*request_task_, proxy_runner);
-    }
-    LOG(WARNING) << "Fail to build proxy runner for cluster job";
-    return ClusterTask();
-}
-ClusterTask RunnerBuilder::UnCompletedClusterTask(
-    Runner* runner, const std::shared_ptr<TableHandler> table_handler,
-    std::string index) {
-    return ClusterTask(runner, table_handler, index);
-}
-ClusterTask RunnerBuilder::BuildRequestTask(RequestRunner* runner) {
-    if (nullptr == runner) {
-        LOG(WARNING) << "fail to build request task with null runner";
-        return ClusterTask();
-    }
-    ClusterTask request_task(runner);
-    request_task_ = std::make_shared<ClusterTask>(request_task);
-    return request_task;
-}
-ClusterTask RunnerBuilder::UnaryInheritTask(const ClusterTask& input,
-                                            Runner* runner) {
-    ClusterTask task = input;
-    runner->AddProducer(task.GetRoot());
-    task.SetRoot(runner);
-    return task;
-}
-
 bool Runner::GetColumnBool(const int8_t* buf, const RowView* row_view, int idx,
                            type::Type type) {
     bool key = false;
@@ -1605,7 +696,7 @@ void WindowAggRunner::RunWindowAggOnKey(
     }
 }
 
-std::shared_ptr<DataHandler> RequestLastJoinRunner::Run(
+std::shared_ptr<DataHandler> RequestJoinRunner::Run(
     RunnerContext& ctx,
     const std::vector<std::shared_ptr<DataHandler>>& inputs) {  // NOLINT
     auto fail_ptr = std::shared_ptr<DataHandler>();
@@ -1622,24 +713,31 @@ std::shared_ptr<DataHandler> RequestLastJoinRunner::Run(
         // row last join table, compute in place
         auto left_row = std::dynamic_pointer_cast<RowHandler>(left)->GetValue();
         auto& parameter = ctx.GetParameterRow();
-        if (output_right_only_) {
-            return std::shared_ptr<RowHandler>(
-                new MemRowHandler(join_gen_->RowLastJoinDropLeftSlices(left_row, right, parameter)));
+        if (join_gen_->join_type_ == node::kJoinTypeLast) {
+            if (output_right_only_) {
+                return std::shared_ptr<RowHandler>(
+                    new MemRowHandler(join_gen_->RowLastJoinDropLeftSlices(left_row, right, parameter)));
+            } else {
+                return std::shared_ptr<RowHandler>(
+                    new MemRowHandler(join_gen_->RowLastJoin(left_row, right, parameter)));
+            }
+        } else if (join_gen_->join_type_ == node::kJoinTypeLeft) {
+            return join_gen_->LazyJoin(left, right, ctx.GetParameterRow());
         } else {
-            return std::shared_ptr<RowHandler>(new MemRowHandler(join_gen_->RowLastJoin(left_row, right, parameter)));
+            LOG(WARNING) << "unsupport join type " << node::JoinTypeName(join_gen_->join_type_);
+            return {};
         }
     } else if (kPartitionHandler == left->GetHandlerType() && right->GetHandlerType() == kPartitionHandler) {
         auto left_part = std::dynamic_pointer_cast<PartitionHandler>(left);
-        return join_gen_->LazyLastJoin(left_part, std::dynamic_pointer_cast<PartitionHandler>(right),
-                                       ctx.GetParameterRow());
+        auto right_part = std::dynamic_pointer_cast<PartitionHandler>(right);
+        return join_gen_->LazyJoinOptimized(left_part, right_part, ctx.GetParameterRow());
+    } else {
+        return join_gen_->LazyJoin(left, right, ctx.GetParameterRow());
     }
-
-    LOG(WARNING) << "skip due to performance: left source of request join is table handler (unoptimized)";
-    return std::shared_ptr<DataHandler>();
 }
 
-std::shared_ptr<DataHandler> LastJoinRunner::Run(RunnerContext& ctx,
-                                                 const std::vector<std::shared_ptr<DataHandler>>& inputs) {
+std::shared_ptr<DataHandler> JoinRunner::Run(RunnerContext& ctx,
+                                             const std::vector<std::shared_ptr<DataHandler>>& inputs) {
     auto fail_ptr = std::shared_ptr<DataHandler>();
     if (inputs.size() < 2) {
         LOG(WARNING) << "inputs size < 2";
@@ -1657,6 +755,10 @@ std::shared_ptr<DataHandler> LastJoinRunner::Run(RunnerContext& ctx,
     }
     auto &parameter = ctx.GetParameterRow();
 
+    if (join_gen_->join_type_ == node::kJoinTypeLeft) {
+        return join_gen_->LazyJoin(left, right, parameter);
+    }
+
     switch (left->GetHandlerType()) {
         case kTableHandler: {
             if (join_gen_->right_group_gen_.Valid()) {
@@ -3425,29 +2527,6 @@ Row Runner::GroupbyProject(const int8_t* fn, const codec::Row& parameter, TableH
         base::RefCountedSlice::CreateManaged(buf, RowView::GetSize(buf)));
 }
 
-std::vector<std::shared_ptr<DataHandler>> InputsGenerator::RunInputs(
-    RunnerContext& ctx) {
-    std::vector<std::shared_ptr<DataHandler>> union_inputs;
-    for (auto runner : input_runners_) {
-        union_inputs.push_back(runner->RunWithCache(ctx));
-    }
-    return union_inputs;
-}
-std::vector<std::shared_ptr<PartitionHandler>>
-WindowUnionGenerator::PartitionEach(
-    std::vector<std::shared_ptr<DataHandler>> union_inputs,
-    const Row& parameter) {
-    std::vector<std::shared_ptr<PartitionHandler>> union_partitions;
-    if (!windows_gen_.empty()) {
-        union_partitions.reserve(windows_gen_.size());
-        for (size_t i = 0; i < inputs_cnt_; i++) {
-            union_partitions.push_back(
-                windows_gen_[i].partition_gen_.Partition(union_inputs[i], parameter));
-        }
-    }
-    return union_partitions;
-}
-
 int32_t IteratorStatus::FindLastIteratorWithMininumKey(const std::vector<IteratorStatus>& status_list) {
     int32_t min_union_pos = -1;
     std::optional<uint64_t> min_union_order;
@@ -3478,62 +2557,5 @@ int32_t IteratorStatus::FindFirstIteratorWithMaximizeKey(const std::vector<Itera
     return min_union_pos;
 }
 
-std::vector<std::shared_ptr<DataHandler>> WindowJoinGenerator::RunInputs(
-    RunnerContext& ctx) {
-    std::vector<std::shared_ptr<DataHandler>> union_inputs;
-    if (!input_runners_.empty()) {
-        for (auto runner : input_runners_) {
-            union_inputs.push_back(runner->RunWithCache(ctx));
-        }
-    }
-    return union_inputs;
-}
-Row WindowJoinGenerator::Join(
-    const Row& left_row,
-    const std::vector<std::shared_ptr<DataHandler>>& join_right_tables,
-    const Row& parameter) {
-    Row row = left_row;
-    for (size_t i = 0; i < join_right_tables.size(); i++) {
-        row = joins_gen_[i]->RowLastJoin(row, join_right_tables[i], parameter);
-    }
-    return row;
-}
-
-std::shared_ptr<DataHandlerList> RunnerContext::GetBatchCache(
-    int64_t id) const {
-    auto iter = batch_cache_.find(id);
-    if (iter == batch_cache_.end()) {
-        return std::shared_ptr<DataHandlerList>();
-    } else {
-        return iter->second;
-    }
-}
-
-void RunnerContext::SetBatchCache(int64_t id,
-                                  std::shared_ptr<DataHandlerList> data) {
-    batch_cache_[id] = data;
-}
-
-std::shared_ptr<DataHandler> RunnerContext::GetCache(int64_t id) const {
-    auto iter = cache_.find(id);
-    if (iter == cache_.end()) {
-        return std::shared_ptr<DataHandler>();
-    } else {
-        return iter->second;
-    }
-}
-
-void RunnerContext::SetCache(int64_t id,
-                             const std::shared_ptr<DataHandler> data) {
-    cache_[id] = data;
-}
-
-void RunnerContext::SetRequest(const hybridse::codec::Row& request) {
-    request_ = request;
-}
-void RunnerContext::SetRequests(
-    const std::vector<hybridse::codec::Row>& requests) {
-    requests_ = requests;
-}
 }  // namespace vm
 }  // namespace hybridse
diff --git a/hybridse/src/vm/runner.h b/hybridse/src/vm/runner.h
index a9d135b5e33..b40130db812 100644
--- a/hybridse/src/vm/runner.h
+++ b/hybridse/src/vm/runner.h
@@ -17,19 +17,15 @@
 #ifndef HYBRIDSE_SRC_VM_RUNNER_H_
 #define HYBRIDSE_SRC_VM_RUNNER_H_
 
-#include <map>
 #include <memory>
 #include <set>
 #include <string>
-#include <unordered_map>
-#include <utility>
 #include <vector>
 
 #include "absl/container/flat_hash_map.h"
 #include "absl/status/statusor.h"
 #include "base/fe_status.h"
 #include "codec/fe_row_codec.h"
-#include "node/node_manager.h"
 #include "vm/aggregator.h"
 #include "vm/catalog.h"
 #include "vm/core_api.h"
@@ -72,10 +68,10 @@ enum RunnerType {
     kRunnerRequestAggUnion,
     kRunnerPostRequestUnion,
     kRunnerIndexSeek,
-    kRunnerLastJoin,
+    kRunnerJoin,
     kRunnerConcat,
     kRunnerRequestRunProxy,
-    kRunnerRequestLastJoin,
+    kRunnerRequestJoin,
     kRunnerBatchRequestRunProxy,
     kRunnerLimit,
     kRunnerUnknow,
@@ -118,12 +114,12 @@ inline const std::string RunnerTypeName(const RunnerType& type) {
             return "POST_REQUEST_UNION";
         case kRunnerIndexSeek:
             return "INDEX_SEEK";
-        case kRunnerLastJoin:
-            return "LASTJOIN";
+        case kRunnerJoin:
+            return "JOIN";
         case kRunnerConcat:
             return "CONCAT";
-        case kRunnerRequestLastJoin:
-            return "REQUEST_LASTJOIN";
+        case kRunnerRequestJoin:
+            return "REQUEST_JOIN";
         case kRunnerLimit:
             return "LIMIT";
         case kRunnerRequestRunProxy:
@@ -324,80 +320,6 @@ class IteratorStatus {
     uint64_t key_;
 };  // namespace vm
 
-class InputsGenerator {
- public:
-    InputsGenerator() : inputs_cnt_(0), input_runners_() {}
-    virtual ~InputsGenerator() {}
-
-    std::vector<std::shared_ptr<DataHandler>> RunInputs(
-        RunnerContext& ctx);  // NOLINT
-    const bool Valid() const { return 0 != inputs_cnt_; }
-    void AddInput(Runner* runner) {
-        input_runners_.push_back(runner);
-        inputs_cnt_++;
-    }
-    size_t inputs_cnt_;
-    std::vector<Runner*> input_runners_;
-};
-class WindowUnionGenerator : public InputsGenerator {
- public:
-    WindowUnionGenerator() : InputsGenerator() {}
-    virtual ~WindowUnionGenerator() {}
-    std::vector<std::shared_ptr<PartitionHandler>> PartitionEach(
-        std::vector<std::shared_ptr<DataHandler>> union_inputs,
-        const Row& parameter);
-    void AddWindowUnion(const WindowOp& window_op, Runner* runner) {
-        windows_gen_.push_back(WindowGenerator(window_op));
-        AddInput(runner);
-    }
-    std::vector<WindowGenerator> windows_gen_;
-};
-
-class RequestWindowUnionGenerator : public InputsGenerator,
-                                    public std::enable_shared_from_this<RequestWindowUnionGenerator> {
- public:
-    [[nodiscard]] static std::shared_ptr<RequestWindowUnionGenerator> Create() {
-        return std::shared_ptr<RequestWindowUnionGenerator>(new RequestWindowUnionGenerator());
-    }
-    virtual ~RequestWindowUnionGenerator() {}
-
-    void AddWindowUnion(const RequestWindowOp& window_op, Runner* runner) {
-        windows_gen_.emplace_back(window_op);
-        AddInput(runner);
-    }
-
-    std::vector<std::shared_ptr<TableHandler>> GetRequestWindows(
-        const Row& row, const Row& parameter, std::vector<std::shared_ptr<DataHandler>> union_inputs) {
-        std::vector<std::shared_ptr<TableHandler>> union_segments(union_inputs.size());
-        for (size_t i = 0; i < union_inputs.size(); i++) {
-            union_segments[i] = windows_gen_[i].GetRequestWindow(row, parameter, union_inputs[i]);
-        }
-        return union_segments;
-    }
-    std::vector<RequestWindowGenertor> windows_gen_;
-
- private:
-    RequestWindowUnionGenerator() : InputsGenerator() {}
-};
-
-class WindowJoinGenerator : public InputsGenerator {
- public:
-    WindowJoinGenerator() : InputsGenerator() {}
-    virtual ~WindowJoinGenerator() {}
-    void AddWindowJoin(const Join& join, size_t left_slices, Runner* runner) {
-        size_t right_slices = runner->output_schemas()->GetSchemaSourceSize();
-        joins_gen_.push_back(JoinGenerator::Create(join, left_slices, right_slices));
-        AddInput(runner);
-    }
-    std::vector<std::shared_ptr<DataHandler>> RunInputs(
-        RunnerContext& ctx);  // NOLINT
-    Row Join(
-        const Row& left_row,
-        const std::vector<std::shared_ptr<DataHandler>>& join_right_tables,
-        const Row& parameter);
-    std::vector<std::shared_ptr<JoinGenerator>> joins_gen_;
-};
-
 class DataRunner : public Runner {
  public:
     DataRunner(const int32_t id, const SchemasContext* schema,
@@ -777,14 +699,14 @@ class PostRequestUnionRunner : public Runner {
     OrderGenerator request_ts_gen_;
 };
 
-class LastJoinRunner : public Runner {
+class JoinRunner : public Runner {
  public:
-    LastJoinRunner(const int32_t id, const SchemasContext* schema, const std::optional<int32_t> limit_cnt,
-                   const Join& join, size_t left_slices, size_t right_slices)
-        : Runner(id, kRunnerLastJoin, schema, limit_cnt) {
+    JoinRunner(const int32_t id, const SchemasContext* schema, const std::optional<int32_t> limit_cnt, const Join& join,
+               size_t left_slices, size_t right_slices)
+        : Runner(id, kRunnerJoin, schema, limit_cnt) {
         join_gen_ = JoinGenerator::Create(join, left_slices, right_slices);
     }
-    ~LastJoinRunner() {}
+    ~JoinRunner() {}
     std::shared_ptr<DataHandler> Run(
         RunnerContext& ctx,  // NOLINT
         const std::vector<std::shared_ptr<DataHandler>>& inputs)
@@ -792,15 +714,15 @@ class LastJoinRunner : public Runner {
 
     std::shared_ptr<JoinGenerator> join_gen_;
 };
-class RequestLastJoinRunner : public Runner {
+class RequestJoinRunner : public Runner {
  public:
-    RequestLastJoinRunner(const int32_t id, const SchemasContext* schema, const std::optional<int32_t> limit_cnt,
-                          const Join& join, const size_t left_slices, const size_t right_slices,
-                          const bool output_right_only)
-        : Runner(id, kRunnerRequestLastJoin, schema, limit_cnt), output_right_only_(output_right_only) {
+    RequestJoinRunner(const int32_t id, const SchemasContext* schema, const std::optional<int32_t> limit_cnt,
+                      const Join& join, const size_t left_slices, const size_t right_slices,
+                      const bool output_right_only)
+        : Runner(id, kRunnerRequestJoin, schema, limit_cnt), output_right_only_(output_right_only) {
         join_gen_ = JoinGenerator::Create(join, left_slices, right_slices);
     }
-    ~RequestLastJoinRunner() {}
+    ~RequestJoinRunner() {}
 
     std::shared_ptr<DataHandler> Run(
         RunnerContext& ctx,                                        // NOLINT
@@ -912,429 +834,6 @@ class ProxyRequestRunner : public Runner {
     uint32_t task_id_;
     Runner* index_input_;
 };
-class ClusterTask;
-class RouteInfo {
- public:
-    RouteInfo()
-        : index_(),
-          index_key_(),
-          index_key_input_runner_(nullptr),
-          input_(),
-          table_handler_() {}
-    RouteInfo(const std::string index,
-              std::shared_ptr<TableHandler> table_handler)
-        : index_(index),
-          index_key_(),
-          index_key_input_runner_(nullptr),
-          input_(),
-          table_handler_(table_handler) {}
-    RouteInfo(const std::string index, const Key& index_key,
-              std::shared_ptr<ClusterTask> input,
-              std::shared_ptr<TableHandler> table_handler)
-        : index_(index),
-          index_key_(index_key),
-          index_key_input_runner_(nullptr),
-          input_(input),
-          table_handler_(table_handler) {}
-    ~RouteInfo() {}
-    const bool IsCompleted() const {
-        return table_handler_ && !index_.empty() && index_key_.ValidKey();
-    }
-    const bool IsCluster() const { return table_handler_ && !index_.empty(); }
-    static const bool EqualWith(const RouteInfo& info1,
-                                const RouteInfo& info2) {
-        return info1.input_ == info2.input_ &&
-               info1.table_handler_ == info2.table_handler_ &&
-               info1.index_ == info2.index_ &&
-               node::ExprEquals(info1.index_key_.keys_, info2.index_key_.keys_);
-    }
-
-    const std::string ToString() const {
-        if (IsCompleted()) {
-            std::ostringstream oss;
-            if (lazy_route_) {
-                oss << "[LAZY]";
-            }
-            oss << ", routing index = " << table_handler_->GetDatabase() << "."
-                << table_handler_->GetName() << "." << index_ << ", "
-                << index_key_.ToString();
-            return oss.str();
-        } else {
-            return "";
-        }
-    }
-    std::string index_;
-    Key index_key_;
-    Runner* index_key_input_runner_;
-    std::shared_ptr<ClusterTask> input_;
-    std::shared_ptr<TableHandler> table_handler_;
-
-    // if true: generate the complete ClusterTask only when requires
-    bool lazy_route_ = false;
-};
-
-// task info of cluster job
-// partitoin/index info
-// index key generator
-// request generator
-class ClusterTask {
- public:
-    // common tasks
-    ClusterTask() : root_(nullptr), input_runners_(), route_info_() {}
-    explicit ClusterTask(Runner* root)
-        : root_(root), input_runners_(), route_info_() {}
-
-    // cluster task with explicit routeinfo
-    ClusterTask(Runner* root, const std::shared_ptr<TableHandler> table_handler,
-                std::string index)
-        : root_(root), input_runners_(), route_info_(index, table_handler) {}
-    ClusterTask(Runner* root, const std::vector<Runner*>& input_runners,
-                const RouteInfo& route_info)
-        : root_(root), input_runners_(input_runners), route_info_(route_info) {}
-    ~ClusterTask() {}
-
-    void Print(std::ostream& output, const std::string& tab) const {
-        output << route_info_.ToString() << "\n";
-        if (nullptr == root_) {
-            output << tab << "NULL RUNNER\n";
-        } else {
-            std::set<int32_t> visited_ids;
-            root_->Print(output, tab, &visited_ids);
-        }
-    }
-
-    friend std::ostream& operator<<(std::ostream& os, const ClusterTask& output) {
-        output.Print(os, "");
-        return os;
-    }
-
-    void ResetInputs(std::shared_ptr<ClusterTask> input) {
-        for (auto input_runner : input_runners_) {
-            input_runner->SetProducer(0, route_info_.input_->GetRoot());
-        }
-        route_info_.index_key_input_runner_ = route_info_.input_->GetRoot();
-        route_info_.input_ = input;
-    }
-    Runner* GetRoot() const { return root_; }
-    void SetRoot(Runner* root) { root_ = root; }
-    Runner* GetInputRunner(size_t idx) const {
-        return idx >= input_runners_.size() ? nullptr : input_runners_[idx];
-    }
-    Runner* GetIndexKeyInput() const {
-        return route_info_.index_key_input_runner_;
-    }
-    std::shared_ptr<ClusterTask> GetInput() const { return route_info_.input_; }
-    Key GetIndexKey() const { return route_info_.index_key_; }
-    void SetIndexKey(const Key& key) { route_info_.index_key_ = key; }
-    void SetInput(std::shared_ptr<ClusterTask> input) {
-        route_info_.input_ = input;
-    }
-
-    const bool IsValid() const { return nullptr != root_; }
-
-    const bool IsCompletedClusterTask() const {
-        return IsValid() && route_info_.IsCompleted();
-    }
-    const bool IsUnCompletedClusterTask() const {
-        return IsClusterTask() && !route_info_.IsCompleted();
-    }
-    const bool IsClusterTask() const { return route_info_.IsCluster(); }
-    const std::string& index() { return route_info_.index_; }
-    std::shared_ptr<TableHandler> table_handler() {
-        return route_info_.table_handler_;
-    }
-
-    // Cluster tasks with same input runners and index keys can be merged
-    static const bool TaskCanBeMerge(const ClusterTask& task1,
-                                     const ClusterTask& task2) {
-        return RouteInfo::EqualWith(task1.route_info_, task2.route_info_);
-    }
-    static const ClusterTask TaskMerge(Runner* root, const ClusterTask& task1,
-                                       const ClusterTask& task2) {
-        return TaskMergeToLeft(root, task1, task2);
-    }
-    static const ClusterTask TaskMergeToLeft(Runner* root,
-                                             const ClusterTask& task1,
-                                             const ClusterTask& task2) {
-        std::vector<Runner*> input_runners;
-        for (auto runner : task1.input_runners_) {
-            input_runners.push_back(runner);
-        }
-        for (auto runner : task2.input_runners_) {
-            input_runners.push_back(runner);
-        }
-        return ClusterTask(root, input_runners, task1.route_info_);
-    }
-    static const ClusterTask TaskMergeToRight(Runner* root,
-                                              const ClusterTask& task1,
-                                              const ClusterTask& task2) {
-        std::vector<Runner*> input_runners;
-        for (auto runner : task1.input_runners_) {
-            input_runners.push_back(runner);
-        }
-        for (auto runner : task2.input_runners_) {
-            input_runners.push_back(runner);
-        }
-        return ClusterTask(root, input_runners, task2.route_info_);
-    }
-
-    static const Runner* GetRequestInput(const ClusterTask& task) {
-        if (!task.IsValid()) {
-            return nullptr;
-        }
-        auto input_task = task.GetInput();
-        if (input_task) {
-            return input_task->GetRoot();
-        }
-        return nullptr;
-    }
-
-    const RouteInfo& GetRouteInfo() const { return route_info_; }
-
- protected:
-    Runner* root_;
-    std::vector<Runner*> input_runners_;
-    RouteInfo route_info_;
-};
-
-class ClusterJob {
- public:
-    ClusterJob()
-        : tasks_(), main_task_id_(-1), sql_(""), common_column_indices_() {}
-    explicit ClusterJob(const std::string& sql, const std::string& db,
-                        const std::set<size_t>& common_column_indices)
-        : tasks_(),
-          main_task_id_(-1),
-          sql_(sql),
-          db_(db),
-          common_column_indices_(common_column_indices) {}
-    ClusterTask GetTask(int32_t id) {
-        if (id < 0 || id >= static_cast<int32_t>(tasks_.size())) {
-            LOG(WARNING) << "fail get task: task " << id << " not exist";
-            return ClusterTask();
-        }
-        return tasks_[id];
-    }
-
-    ClusterTask GetMainTask() { return GetTask(main_task_id_); }
-    int32_t AddTask(const ClusterTask& task) {
-        if (!task.IsValid()) {
-            LOG(WARNING) << "fail to add invalid task";
-            return -1;
-        }
-        tasks_.push_back(task);
-        return tasks_.size() - 1;
-    }
-    bool AddRunnerToTask(Runner* runner, const int32_t id) {
-        if (id < 0 || id >= static_cast<int32_t>(tasks_.size())) {
-            LOG(WARNING) << "fail update task: task " << id << " not exist";
-            return false;
-        }
-        runner->AddProducer(tasks_[id].GetRoot());
-        tasks_[id].SetRoot(runner);
-        return true;
-    }
-
-    void AddMainTask(const ClusterTask& task) { main_task_id_ = AddTask(task); }
-    void Reset() { tasks_.clear(); }
-    const size_t GetTaskSize() const { return tasks_.size(); }
-    const bool IsValid() const { return !tasks_.empty(); }
-    const int32_t main_task_id() const { return main_task_id_; }
-    const std::string& sql() const { return sql_; }
-    const std::string& db() const { return db_; }
-    void Print(std::ostream& output, const std::string& tab) const {
-        if (tasks_.empty()) {
-            output << "EMPTY CLUSTER JOB\n";
-            return;
-        }
-        for (size_t i = 0; i < tasks_.size(); i++) {
-            if (main_task_id_ == static_cast<int32_t>(i)) {
-                output << "MAIN TASK ID " << i;
-            } else {
-                output << "TASK ID " << i;
-            }
-            tasks_[i].Print(output, tab);
-            output << "\n";
-        }
-    }
-    const std::set<size_t>& common_column_indices() const {
-        return common_column_indices_;
-    }
-    void Print() const { this->Print(std::cout, "    "); }
-
- private:
-    std::vector<ClusterTask> tasks_;
-    int32_t main_task_id_;
-    std::string sql_;
-    std::string db_;
-    std::set<size_t> common_column_indices_;
-};
-class RunnerBuilder {
-    enum TaskBiasType { kLeftBias, kRightBias, kNoBias };
-
- public:
-    explicit RunnerBuilder(node::NodeManager* nm, const std::string& sql,
-                           const std::string& db,
-                           bool support_cluster_optimized,
-                           const std::set<size_t>& common_column_indices,
-                           const std::set<size_t>& batch_common_node_set)
-        : nm_(nm),
-          support_cluster_optimized_(support_cluster_optimized),
-          id_(0),
-          cluster_job_(sql, db, common_column_indices),
-          task_map_(),
-          proxy_runner_map_(),
-          batch_common_node_set_(batch_common_node_set) {}
-    virtual ~RunnerBuilder() {}
-    ClusterTask RegisterTask(PhysicalOpNode* node, ClusterTask task) {
-        task_map_[node] = task;
-        if (batch_common_node_set_.find(node->node_id()) !=
-            batch_common_node_set_.end()) {
-            task.GetRoot()->EnableBatchCache();
-        }
-        return task;
-    }
-    ClusterTask Build(PhysicalOpNode* node,  // NOLINT
-                      Status& status);       // NOLINT
-    ClusterJob BuildClusterJob(PhysicalOpNode* node,
-                               Status& status) {  // NOLINT
-        id_ = 0;
-        cluster_job_.Reset();
-        auto task = Build(node, status);
-        if (!status.isOK()) {
-            return cluster_job_;
-        }
-
-        if (task.IsCompletedClusterTask()) {
-            auto proxy_task = BuildProxyRunnerForClusterTask(task);
-            if (!proxy_task.IsValid()) {
-                status.code = common::kExecutionPlanError;
-                status.msg = "Fail to build proxy cluster task";
-                LOG(WARNING) << status;
-                return cluster_job_;
-            }
-            cluster_job_.AddMainTask(proxy_task);
-        } else if (task.IsUnCompletedClusterTask()) {
-            status.code = common::kExecutionPlanError;
-            status.msg =
-                "Fail to build main task, can't handler "
-                "uncompleted cluster task";
-            LOG(WARNING) << status;
-            return cluster_job_;
-        } else {
-            cluster_job_.AddMainTask(task);
-        }
-        return cluster_job_;
-    }
-
-    template <typename Op, typename... Args>
-    Op* CreateRunner(Args&&... args) {
-        return nm_->MakeNode<Op>(std::forward<Args>(args)...);
-    }
-
- private:
-    node::NodeManager* nm_;
-    // only set for request mode
-    bool support_cluster_optimized_;
-    int32_t id_;
-    ClusterJob cluster_job_;
-
-    std::unordered_map<::hybridse::vm::PhysicalOpNode*,
-                       ::hybridse::vm::ClusterTask>
-        task_map_;
-    std::shared_ptr<ClusterTask> request_task_;
-    std::unordered_map<hybridse::vm::Runner*, ::hybridse::vm::Runner*>
-        proxy_runner_map_;
-    std::set<size_t> batch_common_node_set_;
-    ClusterTask MultipleInherit(const std::vector<const ClusterTask*>& children, Runner* runner,
-                                                const Key& index_key, const TaskBiasType bias);
-    ClusterTask BinaryInherit(const ClusterTask& left, const ClusterTask& right,
-                              Runner* runner, const Key& index_key,
-                              const TaskBiasType bias = kNoBias);
-    ClusterTask BuildLocalTaskForBinaryRunner(const ClusterTask& left,
-                                              const ClusterTask& right,
-                                              Runner* runner);
-    ClusterTask BuildClusterTaskForBinaryRunner(const ClusterTask& left,
-                                                const ClusterTask& right,
-                                                Runner* runner,
-                                                const Key& index_key,
-                                                const TaskBiasType bias);
-    ClusterTask BuildProxyRunnerForClusterTask(const ClusterTask& task);
-    ClusterTask InvalidTask() { return ClusterTask(); }
-    ClusterTask CommonTask(Runner* runner) { return ClusterTask(runner); }
-    ClusterTask UnCompletedClusterTask(
-        Runner* runner, const std::shared_ptr<TableHandler> table_handler,
-        std::string index);
-    ClusterTask BuildRequestTask(RequestRunner* runner);
-    ClusterTask UnaryInheritTask(const ClusterTask& input, Runner* runner);
-    ClusterTask BuildRequestAggUnionTask(PhysicalOpNode* node, Status& status);  // NOLINT
-};
-
-class RunnerContext {
- public:
-    explicit RunnerContext(hybridse::vm::ClusterJob* cluster_job,
-                           const hybridse::codec::Row& parameter,
-                           const bool is_debug = false)
-        : cluster_job_(cluster_job),
-          sp_name_(""),
-          request_(),
-          requests_(),
-          parameter_(parameter),
-          is_debug_(is_debug),
-          batch_cache_() {}
-    explicit RunnerContext(hybridse::vm::ClusterJob* cluster_job,
-                           const hybridse::codec::Row& request,
-                           const std::string& sp_name = "",
-                           const bool is_debug = false)
-        : cluster_job_(cluster_job),
-          sp_name_(sp_name),
-          request_(request),
-          requests_(),
-          parameter_(),
-          is_debug_(is_debug),
-          batch_cache_() {}
-    explicit RunnerContext(hybridse::vm::ClusterJob* cluster_job,
-                           const std::vector<Row>& request_batch,
-                           const std::string& sp_name = "",
-                           const bool is_debug = false)
-        : cluster_job_(cluster_job),
-          sp_name_(sp_name),
-          request_(),
-          requests_(request_batch),
-          parameter_(),
-          is_debug_(is_debug),
-          batch_cache_() {}
-
-    const size_t GetRequestSize() const { return requests_.size(); }
-    const hybridse::codec::Row& GetRequest() const { return request_; }
-    const hybridse::codec::Row& GetRequest(size_t idx) const {
-        return requests_[idx];
-    }
-    const hybridse::codec::Row& GetParameterRow() const { return parameter_; }
-    hybridse::vm::ClusterJob* cluster_job() { return cluster_job_; }
-    void SetRequest(const hybridse::codec::Row& request);
-    void SetRequests(const std::vector<hybridse::codec::Row>& requests);
-    bool is_debug() const { return is_debug_; }
-
-    const std::string& sp_name() { return sp_name_; }
-    std::shared_ptr<DataHandler> GetCache(int64_t id) const;
-    void SetCache(int64_t id, std::shared_ptr<DataHandler> data);
-    void ClearCache() { cache_.clear(); }
-    std::shared_ptr<DataHandlerList> GetBatchCache(int64_t id) const;
-    void SetBatchCache(int64_t id, std::shared_ptr<DataHandlerList> data);
-
- private:
-    hybridse::vm::ClusterJob* cluster_job_;
-    const std::string sp_name_;
-    hybridse::codec::Row request_;
-    std::vector<hybridse::codec::Row> requests_;
-    hybridse::codec::Row parameter_;
-    size_t idx_;
-    const bool is_debug_;
-    // TODO(chenjing): optimize
-    std::map<int64_t, std::shared_ptr<DataHandler>> cache_;
-    std::map<int64_t, std::shared_ptr<DataHandlerList>> batch_cache_;
-};
 
 }  // namespace vm
 }  // namespace hybridse
diff --git a/hybridse/src/vm/runner_builder.cc b/hybridse/src/vm/runner_builder.cc
new file mode 100644
index 00000000000..5d595ba9785
--- /dev/null
+++ b/hybridse/src/vm/runner_builder.cc
@@ -0,0 +1,909 @@
+/**
+ * Copyright (c) 2023 OpenMLDB authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "vm/runner_builder.h"
+#include "vm/physical_op.h"
+
+namespace hybridse {
+namespace vm {
+
+static vm::PhysicalDataProviderNode* request_node(vm::PhysicalOpNode* n) {
+    switch (n->GetOpType()) {
+        case kPhysicalOpDataProvider:
+            return dynamic_cast<vm::PhysicalDataProviderNode*>(n);
+        default:
+            return request_node(n->GetProducer(0));
+    }
+}
+
+// Build Runner for each physical node
+// return cluster task of given runner
+//
+// DataRunner(kProviderTypePartition) --> cluster task
+// RequestRunner --> local task
+// DataRunner(kProviderTypeTable) --> LocalTask, Unsupport in distribute
+// database
+//
+// SimpleProjectRunner --> inherit task
+// TableProjectRunner --> inherit task
+// WindowAggRunner --> LocalTask , Unsupport in distribute database
+// GroupAggRunner --> LocalTask, Unsupport in distribute database
+//
+// RowProjectRunner --> inherit task
+// ConstProjectRunner --> local task
+//
+// RequestUnionRunner
+//      --> complete route_info of right cluster task
+//      --> build proxy runner if need
+// RequestJoinRunner
+//      --> complete route_info of right cluster task
+//      --> build proxy runner if need
+// kPhysicalOpJoin
+//      --> kJoinTypeLast->RequestJoinRunner
+//              --> complete route_info of right cluster task
+//              --> build proxy runner if need
+//      --> kJoinTypeConcat
+//              --> build proxy runner if need
+// kPhysicalOpPostRequestUnion
+//      --> build proxy runner if need
+// GroupRunner --> LocalTask, Unsupport in distribute database
+// kPhysicalOpFilter
+// kPhysicalOpLimit
+// kPhysicalOpRename
+ClusterTask RunnerBuilder::Build(PhysicalOpNode* node, Status& status) {
+    auto fail = InvalidTask();
+    if (nullptr == node) {
+        status.msg = "fail to build runner : physical node is null";
+        status.code = common::kExecutionPlanError;
+        LOG(WARNING) << status;
+        return fail;
+    }
+    auto iter = task_map_.find(node);
+    if (iter != task_map_.cend()) {
+        iter->second.GetRoot()->EnableCache();
+        return iter->second;
+    }
+    switch (node->GetOpType()) {
+        case kPhysicalOpDataProvider: {
+            auto op = dynamic_cast<const PhysicalDataProviderNode*>(node);
+            switch (op->provider_type_) {
+                case kProviderTypeTable: {
+                    auto provider = dynamic_cast<const PhysicalTableProviderNode*>(node);
+                    DataRunner* runner = CreateRunner<DataRunner>(id_++, node->schemas_ctx(), provider->table_handler_);
+                    return RegisterTask(node, CommonTask(runner));
+                }
+                case kProviderTypePartition: {
+                    auto provider = dynamic_cast<const PhysicalPartitionProviderNode*>(node);
+                    DataRunner* runner = CreateRunner<DataRunner>(
+                        id_++, node->schemas_ctx(), provider->table_handler_->GetPartition(provider->index_name_));
+                    if (support_cluster_optimized_) {
+                        return RegisterTask(
+                            node, UnCompletedClusterTask(runner, provider->table_handler_, provider->index_name_));
+                    } else {
+                        return RegisterTask(node, CommonTask(runner));
+                    }
+                }
+                case kProviderTypeRequest: {
+                    RequestRunner* runner = CreateRunner<RequestRunner>(id_++, node->schemas_ctx());
+                    return RegisterTask(node, BuildRequestTask(runner));
+                }
+                default: {
+                    status.msg = "fail to support data provider type " + DataProviderTypeName(op->provider_type_);
+                    status.code = common::kExecutionPlanError;
+                    LOG(WARNING) << status;
+                    return RegisterTask(node, fail);
+                }
+            }
+        }
+        case kPhysicalOpSimpleProject: {
+            auto cluster_task = Build(node->producers().at(0), status);
+            if (!cluster_task.IsValid()) {
+                status.msg = "fail to build input runner for simple project:\n" + node->GetTreeString();
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto op = dynamic_cast<const PhysicalSimpleProjectNode*>(node);
+            int select_slice = op->GetSelectSourceIndex();
+            if (select_slice >= 0) {
+                SelectSliceRunner* runner =
+                    CreateRunner<SelectSliceRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), select_slice);
+                return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+            } else {
+                SimpleProjectRunner* runner = CreateRunner<SimpleProjectRunner>(
+                    id_++, node->schemas_ctx(), op->GetLimitCnt(), op->project().fn_info());
+                return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+            }
+        }
+        case kPhysicalOpConstProject: {
+            auto op = dynamic_cast<const PhysicalConstProjectNode*>(node);
+            ConstProjectRunner* runner = CreateRunner<ConstProjectRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(),
+                                                                          op->project().fn_info());
+            return RegisterTask(node, CommonTask(runner));
+        }
+        case kPhysicalOpProject: {
+            auto cluster_task =  // NOLINT
+                Build(node->producers().at(0), status);
+            if (!cluster_task.IsValid()) {
+                status.msg = "fail to build runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto input = cluster_task.GetRoot();
+            auto op = dynamic_cast<const PhysicalProjectNode*>(node);
+            switch (op->project_type_) {
+                case kTableProject: {
+                    if (support_cluster_optimized_) {
+                        // Non-support table join under distribution env
+                        status.msg = "fail to build cluster with table project";
+                        status.code = common::kExecutionPlanError;
+                        LOG(WARNING) << status;
+                        return fail;
+                    }
+                    TableProjectRunner* runner = CreateRunner<TableProjectRunner>(
+                        id_++, node->schemas_ctx(), op->GetLimitCnt(), op->project().fn_info());
+                    return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+                }
+                case kReduceAggregation: {
+                    ReduceRunner* runner = CreateRunner<ReduceRunner>(
+                        id_++, node->schemas_ctx(), op->GetLimitCnt(),
+                        dynamic_cast<const PhysicalReduceAggregationNode*>(node)->having_condition_,
+                        op->project().fn_info());
+                    return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+                }
+                case kAggregation: {
+                    auto agg_node = dynamic_cast<const PhysicalAggregationNode*>(node);
+                    if (agg_node == nullptr) {
+                        status.msg = "fail to build AggRunner: input node is not PhysicalAggregationNode";
+                        status.code = common::kExecutionPlanError;
+                        return fail;
+                    }
+                    AggRunner* runner = CreateRunner<AggRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(),
+                                                                agg_node->having_condition_, op->project().fn_info());
+                    return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+                }
+                case kGroupAggregation: {
+                    if (support_cluster_optimized_) {
+                        // Non-support group aggregation under distribution env
+                        status.msg = "fail to build cluster with group agg project";
+                        status.code = common::kExecutionPlanError;
+                        LOG(WARNING) << status;
+                        return fail;
+                    }
+                    auto op = dynamic_cast<const PhysicalGroupAggrerationNode*>(node);
+                    GroupAggRunner* runner =
+                        CreateRunner<GroupAggRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->group_,
+                                                     op->having_condition_, op->project().fn_info());
+                    return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+                }
+                case kWindowAggregation: {
+                    if (support_cluster_optimized_) {
+                        // Non-support table window aggregation join under distribution env
+                        status.msg = "fail to build cluster with window agg project";
+                        status.code = common::kExecutionPlanError;
+                        LOG(WARNING) << status;
+                        return fail;
+                    }
+                    auto op = dynamic_cast<const PhysicalWindowAggrerationNode*>(node);
+                    WindowAggRunner* runner = CreateRunner<WindowAggRunner>(
+                        id_++, op->schemas_ctx(), op->GetLimitCnt(), op->window_, op->project().fn_info(),
+                        op->instance_not_in_window(), op->exclude_current_time(),
+                        op->need_append_input() ? node->GetProducer(0)->schemas_ctx()->GetSchemaSourceSize() : 0);
+                    size_t input_slices = input->output_schemas()->GetSchemaSourceSize();
+                    if (!op->window_unions_.Empty()) {
+                        for (auto window_union : op->window_unions_.window_unions_) {
+                            auto union_task = Build(window_union.first, status);
+                            auto union_table = union_task.GetRoot();
+                            if (nullptr == union_table) {
+                                return RegisterTask(node, fail);
+                            }
+                            runner->AddWindowUnion(window_union.second, union_table);
+                        }
+                    }
+                    if (!op->window_joins_.Empty()) {
+                        for (auto& window_join : op->window_joins_.window_joins_) {
+                            auto join_task =  // NOLINT
+                                Build(window_join.first, status);
+                            auto join_right_runner = join_task.GetRoot();
+                            if (nullptr == join_right_runner) {
+                                return RegisterTask(node, fail);
+                            }
+                            runner->AddWindowJoin(window_join.second, input_slices, join_right_runner);
+                        }
+                    }
+                    return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+                }
+                case kRowProject: {
+                    RowProjectRunner* runner = CreateRunner<RowProjectRunner>(
+                        id_++, node->schemas_ctx(), op->GetLimitCnt(), op->project().fn_info());
+                    return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+                }
+                default: {
+                    status.msg = "fail to support project type " + ProjectTypeName(op->project_type_);
+                    status.code = common::kExecutionPlanError;
+                    LOG(WARNING) << status;
+                    return RegisterTask(node, fail);
+                }
+            }
+        }
+        case kPhysicalOpRequestUnion: {
+            auto left_task = Build(node->producers().at(0), status);
+            if (!left_task.IsValid()) {
+                status.msg = "fail to build left input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto right_task = Build(node->producers().at(1), status);
+            auto right = right_task.GetRoot();
+            if (!right_task.IsValid()) {
+                status.msg = "fail to build right input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto op = dynamic_cast<const PhysicalRequestUnionNode*>(node);
+            RequestUnionRunner* runner =
+                CreateRunner<RequestUnionRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->window().range_,
+                                                 op->exclude_current_time(), op->output_request_row());
+            Key index_key;
+            if (!op->instance_not_in_window()) {
+                runner->AddWindowUnion(op->window_, right);
+                index_key = op->window_.index_key_;
+            }
+            if (!op->window_unions_.Empty()) {
+                for (auto window_union : op->window_unions_.window_unions_) {
+                    auto union_task = Build(window_union.first, status);
+                    if (!status.isOK()) {
+                        LOG(WARNING) << status;
+                        return fail;
+                    }
+                    auto union_table = union_task.GetRoot();
+                    if (nullptr == union_table) {
+                        return RegisterTask(node, fail);
+                    }
+                    runner->AddWindowUnion(window_union.second, union_table);
+                    if (!index_key.ValidKey()) {
+                        index_key = window_union.second.index_key_;
+                        right_task = union_task;
+                        right_task.SetRoot(right);
+                    }
+                }
+            }
+            if (support_cluster_optimized_) {
+                if (node->GetOutputType() == kSchemaTypeGroup) {
+                    // route by index of the left source, and it should uncompleted
+                    auto& route_info = left_task.GetRouteInfo();
+                    runner->AddProducer(left_task.GetRoot());
+                    runner->AddProducer(right_task.GetRoot());
+                    return RegisterTask(node, ClusterTask(runner, {}, route_info));
+                }
+            }
+            return RegisterTask(node, BinaryInherit(left_task, right_task, runner, index_key, kRightBias));
+        }
+        case kPhysicalOpRequestAggUnion: {
+            return BuildRequestAggUnionTask(node, status);
+        }
+        case kPhysicalOpRequestJoin: {
+            auto left_task = Build(node->GetProducer(0), status);
+            if (!left_task.IsValid()) {
+                status.msg = "fail to build left input runner for: " + node->GetProducer(0)->GetTreeString();
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto left = left_task.GetRoot();
+            auto right_task = Build(node->GetProducer(1), status);
+            if (!right_task.IsValid()) {
+                status.msg = "fail to build right input runner for: " + node->GetProducer(1)->GetTreeString();
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto right = right_task.GetRoot();
+            auto op = dynamic_cast<const PhysicalRequestJoinNode*>(node);
+            switch (op->join().join_type()) {
+                case node::kJoinTypeLast:
+                case node::kJoinTypeLeft: {
+                    RequestJoinRunner* runner = CreateRunner<RequestJoinRunner>(
+                        id_++, node->schemas_ctx(), op->GetLimitCnt(), op->join_,
+                        left->output_schemas()->GetSchemaSourceSize(), right->output_schemas()->GetSchemaSourceSize(),
+                        op->output_right_only());
+
+                    if (support_cluster_optimized_) {
+                        if (node->GetOutputType() == kSchemaTypeRow) {
+                            // complete cluster task from right
+                            if (op->join().index_key().ValidKey()) {
+                                // optimize key in this node
+                                return RegisterTask(node, BinaryInherit(left_task, right_task, runner,
+                                                                        op->join().index_key(), kLeftBias));
+                            } else {
+                                // optimize happens before, in left node
+                                auto right_route_info = right_task.GetRouteInfo();
+                                runner->AddProducer(left_task.GetRoot());
+                                runner->AddProducer(right_task.GetRoot());
+                                return RegisterTask(node, ClusterTask(runner, {}, right_route_info));
+                            }
+                        } else {
+                            // uncomplete/lazify cluster task from left
+                            auto left_route_info = left_task.GetRouteInfo();
+                            runner->AddProducer(left_task.GetRoot());
+                            runner->AddProducer(right_task.GetRoot());
+                            return RegisterTask(node, ClusterTask(runner, {}, left_route_info));
+                        }
+                    }
+
+                    return RegisterTask(
+                        node, BinaryInherit(left_task, right_task, runner, op->join().index_key(), kLeftBias));
+                }
+                case node::kJoinTypeConcat: {
+                    ConcatRunner* runner = CreateRunner<ConcatRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt());
+                    if (support_cluster_optimized_) {
+                        if (right_task.IsCompletedClusterTask() && right_task.GetRouteInfo().lazy_route_ &&
+                            !op->join_.index_key_.ValidKey()) {
+                            // concat join (.., filter<optimized>)
+                            runner->AddProducer(left_task.GetRoot());
+                            runner->AddProducer(right_task.GetRoot());
+                            return RegisterTask(node, ClusterTask(runner, {}, RouteInfo{}));
+                        }
+
+                        // concat join (any(tx), any(tx)), tx is not request table
+                        if (node->GetOutputType() != kSchemaTypeRow) {
+                            runner->AddProducer(left_task.GetRoot());
+                            runner->AddProducer(right_task.GetRoot());
+                            return RegisterTask(node, ClusterTask(runner, {}, left_task.GetRouteInfo()));
+                        }
+                    }
+                    return RegisterTask(node, BinaryInherit(left_task, right_task, runner, Key(), kNoBias));
+                }
+                default: {
+                    status.code = common::kExecutionPlanError;
+                    status.msg = "can't handle join type " + node::JoinTypeName(op->join().join_type());
+                    LOG(WARNING) << status;
+                    return RegisterTask(node, fail);
+                }
+            }
+        }
+        case kPhysicalOpJoin: {
+            auto left_task = Build(node->producers().at(0), status);
+            if (!left_task.IsValid()) {
+                status.msg = "fail to build left input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto left = left_task.GetRoot();
+            auto right_task = Build(node->producers().at(1), status);
+            if (!right_task.IsValid()) {
+                status.msg = "fail to build right input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto right = right_task.GetRoot();
+            auto op = dynamic_cast<const PhysicalJoinNode*>(node);
+            switch (op->join().join_type()) {
+                case node::kJoinTypeLeft:
+                case node::kJoinTypeLast: {
+                    // TableLastJoin convert to Batch Request RequestLastJoin
+                    if (support_cluster_optimized_) {
+                        // looks strange, join op won't run for batch-cluster mode
+                        RequestJoinRunner* runner = CreateRunner<RequestJoinRunner>(
+                            id_++, node->schemas_ctx(), op->GetLimitCnt(), op->join_,
+                            left->output_schemas()->GetSchemaSourceSize(),
+                            right->output_schemas()->GetSchemaSourceSize(), op->output_right_only_);
+                        return RegisterTask(
+                            node, BinaryInherit(left_task, right_task, runner, op->join().index_key(), kLeftBias));
+                    } else {
+                        JoinRunner* runner =
+                            CreateRunner<JoinRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->join_,
+                                                         left->output_schemas()->GetSchemaSourceSize(),
+                                                         right->output_schemas()->GetSchemaSourceSize());
+                        return RegisterTask(node, BinaryInherit(left_task, right_task, runner, Key(), kLeftBias));
+                    }
+                }
+                case node::kJoinTypeConcat: {
+                    ConcatRunner* runner = CreateRunner<ConcatRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt());
+                    return RegisterTask(node,
+                                        BinaryInherit(left_task, right_task, runner, op->join().index_key(), kNoBias));
+                }
+                default: {
+                    status.code = common::kExecutionPlanError;
+                    status.msg = "can't handle join type " + node::JoinTypeName(op->join().join_type());
+                    LOG(WARNING) << status;
+                    return RegisterTask(node, fail);
+                }
+            }
+        }
+        case kPhysicalOpGroupBy: {
+            if (support_cluster_optimized_) {
+                // Non-support group by under distribution env
+                status.msg = "fail to build cluster with group by node";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto cluster_task = Build(node->producers().at(0), status);
+            if (!cluster_task.IsValid()) {
+                status.msg = "fail to build input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto op = dynamic_cast<const PhysicalGroupNode*>(node);
+            GroupRunner* runner = CreateRunner<GroupRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->group());
+            return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+        }
+        case kPhysicalOpFilter: {
+            auto producer_task = Build(node->GetProducer(0), status);
+            if (!producer_task.IsValid()) {
+                status.msg = "fail to build input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto op = dynamic_cast<const PhysicalFilterNode*>(node);
+            FilterRunner* runner =
+                CreateRunner<FilterRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->filter_);
+            // under cluster, filter task might be completed or uncompleted
+            // based on whether filter node has the index_key underlaying DataTask requires
+            ClusterTask out;
+            if (support_cluster_optimized_) {
+                auto& route_info_ref = producer_task.GetRouteInfo();
+                if (runner->filter_gen_.ValidIndex()) {
+                    // complete the route info
+                    RouteInfo lazy_route_info(route_info_ref.index_, op->filter().index_key(),
+                                              std::make_shared<ClusterTask>(producer_task),
+                                              route_info_ref.table_handler_);
+                    lazy_route_info.lazy_route_ = true;
+                    runner->AddProducer(producer_task.GetRoot());
+                    out = ClusterTask(runner, {}, lazy_route_info);
+                } else {
+                    runner->AddProducer(producer_task.GetRoot());
+                    out = UnCompletedClusterTask(runner, route_info_ref.table_handler_, route_info_ref.index_);
+                }
+            } else {
+                out = UnaryInheritTask(producer_task, runner);
+            }
+            return RegisterTask(node, out);
+        }
+        case kPhysicalOpLimit: {
+            auto cluster_task =  // NOLINT
+                Build(node->producers().at(0), status);
+            if (!cluster_task.IsValid()) {
+                status.msg = "fail to build input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto op = dynamic_cast<const PhysicalLimitNode*>(node);
+            if (!op->GetLimitCnt().has_value() || op->GetLimitOptimized()) {
+                return RegisterTask(node, cluster_task);
+            }
+            // limit runner always expect limit not empty
+            LimitRunner* runner = CreateRunner<LimitRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt().value());
+            return RegisterTask(node, UnaryInheritTask(cluster_task, runner));
+        }
+        case kPhysicalOpRename: {
+            return Build(node->producers().at(0), status);
+        }
+        case kPhysicalOpPostRequestUnion: {
+            auto left_task = Build(node->producers().at(0), status);
+            if (!left_task.IsValid()) {
+                status.msg = "fail to build left input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto right_task = Build(node->producers().at(1), status);
+            if (!right_task.IsValid()) {
+                status.msg = "fail to build right input runner";
+                status.code = common::kExecutionPlanError;
+                LOG(WARNING) << status;
+                return fail;
+            }
+            auto union_op = dynamic_cast<PhysicalPostRequestUnionNode*>(node);
+            PostRequestUnionRunner* runner =
+                CreateRunner<PostRequestUnionRunner>(id_++, node->schemas_ctx(), union_op->request_ts());
+            return RegisterTask(node, BinaryInherit(left_task, right_task, runner, Key(), kRightBias));
+        }
+        default: {
+            status.code = common::kExecutionPlanError;
+            status.msg = absl::StrCat("Non-support node ", PhysicalOpTypeName(node->GetOpType()),
+                                      " for OpenMLDB Online execute mode");
+            LOG(WARNING) << status;
+            return RegisterTask(node, fail);
+        }
+    }
+}
+
+ClusterTask RunnerBuilder::BuildRequestAggUnionTask(PhysicalOpNode* node, Status& status) {
+    auto fail = InvalidTask();
+    auto request_task = Build(node->producers().at(0), status);
+    if (!request_task.IsValid()) {
+        status.msg = "fail to build request input runner";
+        status.code = common::kExecutionPlanError;
+        LOG(WARNING) << status;
+        return fail;
+    }
+    auto base_table_task = Build(node->producers().at(1), status);
+    auto base_table = base_table_task.GetRoot();
+    if (!base_table_task.IsValid()) {
+        status.msg = "fail to build base_table input runner";
+        status.code = common::kExecutionPlanError;
+        LOG(WARNING) << status;
+        return fail;
+    }
+    auto agg_table_task = Build(node->producers().at(2), status);
+    auto agg_table = agg_table_task.GetRoot();
+    if (!agg_table_task.IsValid()) {
+        status.msg = "fail to build agg_table input runner";
+        status.code = common::kExecutionPlanError;
+        LOG(WARNING) << status;
+        return fail;
+    }
+    auto op = dynamic_cast<const PhysicalRequestAggUnionNode*>(node);
+    RequestAggUnionRunner* runner =
+        CreateRunner<RequestAggUnionRunner>(id_++, node->schemas_ctx(), op->GetLimitCnt(), op->window().range_,
+                                            op->exclude_current_time(), op->output_request_row(), op->project_);
+    Key index_key;
+    if (!op->instance_not_in_window()) {
+        index_key = op->window_.index_key();
+        runner->AddWindowUnion(op->window_, base_table);
+        runner->AddWindowUnion(op->agg_window_, agg_table);
+    }
+    auto task = RegisterTask(
+        node, MultipleInherit({&request_task, &base_table_task, &agg_table_task}, runner, index_key, kRightBias));
+    if (!runner->InitAggregator()) {
+        return fail;
+    } else {
+        return task;
+    }
+}
+
+ClusterTask RunnerBuilder::BinaryInherit(const ClusterTask& left, const ClusterTask& right, Runner* runner,
+                                         const Key& index_key, const TaskBiasType bias) {
+    if (support_cluster_optimized_) {
+        return BuildClusterTaskForBinaryRunner(left, right, runner, index_key, bias);
+    } else {
+        return BuildLocalTaskForBinaryRunner(left, right, runner);
+    }
+}
+
+ClusterTask RunnerBuilder::MultipleInherit(const std::vector<const ClusterTask*>& children, Runner* runner,
+                                           const Key& index_key, const TaskBiasType bias) {
+    // TODO(zhanghao): currently only kRunnerRequestAggUnion uses MultipleInherit
+    const ClusterTask* request = children[0];
+    if (runner->type_ != kRunnerRequestAggUnion) {
+        LOG(WARNING) << "MultipleInherit only support RequestAggUnionRunner";
+        return ClusterTask();
+    }
+
+    if (children.size() < 3) {
+        LOG(WARNING) << "MultipleInherit should be called for children size >= 3, but children.size() = "
+                     << children.size();
+        return ClusterTask();
+    }
+
+    for (const auto child : children) {
+        if (child->IsClusterTask()) {
+            if (index_key.ValidKey()) {
+                for (size_t i = 1; i < children.size(); i++) {
+                    if (!children[i]->IsClusterTask()) {
+                        LOG(WARNING) << "Fail to build cluster task for "
+                                     << "[" << runner->id_ << "]" << RunnerTypeName(runner->type_)
+                                     << ": can't handler local task with index key";
+                        return ClusterTask();
+                    }
+                    if (children[i]->IsCompletedClusterTask()) {
+                        LOG(WARNING) << "Fail to complete cluster task for "
+                                     << "[" << runner->id_ << "]" << RunnerTypeName(runner->type_)
+                                     << ": task is completed already";
+                        return ClusterTask();
+                    }
+                }
+                for (size_t i = 0; i < children.size(); i++) {
+                    runner->AddProducer(children[i]->GetRoot());
+                }
+                // build complete cluster task
+                // TODO(zhanghao): assume all children can be handled with one single tablet
+                const RouteInfo& route_info = children[1]->GetRouteInfo();
+                ClusterTask cluster_task(runner, std::vector<Runner*>({runner}),
+                                         RouteInfo(route_info.index_, index_key,
+                                                   std::make_shared<ClusterTask>(*request), route_info.table_handler_));
+                return cluster_task;
+            }
+        }
+    }
+
+    // if all are local tasks
+    for (const auto child : children) {
+        runner->AddProducer(child->GetRoot());
+    }
+    return ClusterTask(runner);
+}
+
+ClusterTask RunnerBuilder::BuildLocalTaskForBinaryRunner(const ClusterTask& left, const ClusterTask& right,
+                                                         Runner* runner) {
+    if (left.IsClusterTask() || right.IsClusterTask()) {
+        LOG(WARNING) << "fail to build local task for binary runner";
+        return ClusterTask();
+    }
+    runner->AddProducer(left.GetRoot());
+    runner->AddProducer(right.GetRoot());
+    return ClusterTask(runner);
+}
+
+ClusterTask RunnerBuilder::BuildClusterTaskForBinaryRunner(const ClusterTask& left, const ClusterTask& right,
+                                                           Runner* runner, const Key& index_key,
+                                                           const TaskBiasType bias) {
+    if (nullptr == runner) {
+        LOG(WARNING) << "Fail to build cluster task for null runner";
+        return ClusterTask();
+    }
+    ClusterTask new_left = left;
+    ClusterTask new_right = right;
+
+    // if index key is valid, try to complete route info of right cluster task
+    if (index_key.ValidKey()) {
+        if (!right.IsClusterTask()) {
+            LOG(WARNING) << "Fail to build cluster task for "
+                         << "[" << runner->id_ << "]" << RunnerTypeName(runner->type_)
+                         << ": can't handler local task with index key";
+            return ClusterTask();
+        }
+        if (right.IsCompletedClusterTask()) {
+            // completed with same index key
+            std::stringstream ss;
+            right.Print(ss, " ");
+            LOG(WARNING) << "Fail to complete cluster task for "
+                         << "[" << runner->id_ << "]" << RunnerTypeName(runner->type_)
+                         << ": task is completed already:\n"
+                         << ss.str();
+            LOG(WARNING) << "index key is " << index_key.ToString();
+            return ClusterTask();
+        }
+        RequestRunner* request_runner = CreateRunner<RequestRunner>(id_++, new_left.GetRoot()->output_schemas());
+        runner->AddProducer(request_runner);
+        runner->AddProducer(new_right.GetRoot());
+
+        const RouteInfo& right_route_info = new_right.GetRouteInfo();
+        ClusterTask cluster_task(runner, std::vector<Runner*>({runner}),
+                                 RouteInfo(right_route_info.index_, index_key, std::make_shared<ClusterTask>(new_left),
+                                           right_route_info.table_handler_));
+
+        if (new_left.IsCompletedClusterTask()) {
+            return BuildProxyRunnerForClusterTask(cluster_task);
+        } else {
+            return cluster_task;
+        }
+    }
+
+    // Concat
+    //      Agg1(Proxy(RequestUnion(Request, DATA))
+    //      Agg2(Proxy(RequestUnion(Request, DATA))
+    // -->
+    // Proxy(Concat
+    //          Agg1(RequestUnion(Request,DATA)
+    //          Agg2(RequestUnion(Request,DATA)
+    //      )
+
+    // if left and right is completed cluster task
+    while (new_left.IsCompletedClusterTask() && new_right.IsCompletedClusterTask()) {
+        // merge left and right task if tasks can be merged
+        if (ClusterTask::TaskCanBeMerge(new_left, new_right)) {
+            ClusterTask task = ClusterTask::TaskMerge(runner, new_left, new_right);
+            runner->AddProducer(new_left.GetRoot());
+            runner->AddProducer(new_right.GetRoot());
+            return task;
+        }
+        switch (bias) {
+            case kNoBias: {
+                // Add build left proxy task into cluster job,
+                // and update new_left
+                new_left = BuildProxyRunnerForClusterTask(new_left);
+                new_right = BuildProxyRunnerForClusterTask(new_right);
+                break;
+            }
+            case kLeftBias: {
+                // build proxy runner for right task
+                new_right = BuildProxyRunnerForClusterTask(new_right);
+                break;
+            }
+            case kRightBias: {
+                // build proxy runner for right task
+                new_left = BuildProxyRunnerForClusterTask(new_left);
+                break;
+            }
+        }
+    }
+    if (new_left.IsUnCompletedClusterTask()) {
+        LOG(WARNING) << "can't handler uncompleted cluster task from left:" << new_left;
+        return ClusterTask();
+    }
+    if (new_right.IsUnCompletedClusterTask()) {
+        LOG(WARNING) << "can't handler uncompleted cluster task from right:" << new_right;
+        return ClusterTask();
+    }
+
+    // prepare left and right for runner
+
+    // left local task + right cluster task
+    if (new_right.IsCompletedClusterTask()) {
+        switch (bias) {
+            case kNoBias:
+            case kLeftBias: {
+                new_right = BuildProxyRunnerForClusterTask(new_right);
+                runner->AddProducer(new_left.GetRoot());
+                runner->AddProducer(new_right.GetRoot());
+                return ClusterTask::TaskMergeToLeft(runner, new_left, new_right);
+            }
+            case kRightBias: {
+                auto new_left_root_input = ClusterTask::GetRequestInput(new_left);
+                auto new_right_root_input = ClusterTask::GetRequestInput(new_right);
+                // task can be merge simply when their inputs are the same
+                if (new_right_root_input == new_left_root_input) {
+                    runner->AddProducer(new_left.GetRoot());
+                    runner->AddProducer(new_right.GetRoot());
+                    return ClusterTask::TaskMergeToRight(runner, new_left, new_right);
+                } else if (new_left_root_input == nullptr) {
+                    // reset replace inputs as request runner
+                    new_right.ResetInputs(nullptr);
+                    runner->AddProducer(new_left.GetRoot());
+                    runner->AddProducer(new_right.GetRoot());
+                    return ClusterTask::TaskMergeToRight(runner, new_left, new_right);
+                } else {
+                    LOG(WARNING) << "fail to merge local left task and cluster "
+                                    "right task";
+                    return ClusterTask();
+                }
+            }
+            default:
+                return ClusterTask();
+        }
+    } else if (new_left.IsCompletedClusterTask()) {
+        switch (bias) {
+            case kNoBias:
+            case kRightBias: {
+                new_left = BuildProxyRunnerForClusterTask(new_left);
+                runner->AddProducer(new_left.GetRoot());
+                runner->AddProducer(new_right.GetRoot());
+                return ClusterTask::TaskMergeToRight(runner, new_left, new_right);
+            }
+            case kLeftBias: {
+                auto new_left_root_input = ClusterTask::GetRequestInput(new_right);
+                auto new_right_root_input = ClusterTask::GetRequestInput(new_right);
+                // task can be merge simply
+                if (new_right_root_input == new_left_root_input) {
+                    runner->AddProducer(new_left.GetRoot());
+                    runner->AddProducer(new_right.GetRoot());
+                    return ClusterTask::TaskMergeToLeft(runner, new_left, new_right);
+                } else if (new_right_root_input == nullptr) {
+                    // reset replace inputs as request runner
+                    new_left.ResetInputs(nullptr);
+                    runner->AddProducer(new_left.GetRoot());
+                    runner->AddProducer(new_right.GetRoot());
+                    return ClusterTask::TaskMergeToLeft(runner, new_left, new_right);
+                } else {
+                    LOG(WARNING) << "fail to merge cluster left task and local "
+                                    "right task";
+                    return ClusterTask();
+                }
+            }
+            default:
+                return ClusterTask();
+        }
+    } else {
+        runner->AddProducer(new_left.GetRoot());
+        runner->AddProducer(new_right.GetRoot());
+        return ClusterTask::TaskMergeToLeft(runner, new_left, new_right);
+    }
+}
+ClusterTask RunnerBuilder::BuildProxyRunnerForClusterTask(const ClusterTask& task) {
+    if (!task.IsCompletedClusterTask()) {
+        LOG(WARNING) << "Fail to build proxy runner, cluster task is uncompleted";
+        return ClusterTask();
+    }
+    // return cached proxy runner
+    Runner* proxy_runner = nullptr;
+    auto find_iter = proxy_runner_map_.find(task.GetRoot());
+    if (find_iter != proxy_runner_map_.cend()) {
+        proxy_runner = find_iter->second;
+        proxy_runner->EnableCache();
+    } else {
+        uint32_t remote_task_id = cluster_job_.AddTask(task);
+        ProxyRequestRunner* new_proxy_runner = CreateRunner<ProxyRequestRunner>(
+            id_++, remote_task_id, task.GetIndexKeyInput(), task.GetRoot()->output_schemas());
+        if (nullptr != task.GetIndexKeyInput()) {
+            task.GetIndexKeyInput()->EnableCache();
+        }
+        if (task.GetRoot()->need_batch_cache()) {
+            new_proxy_runner->EnableBatchCache();
+        }
+        proxy_runner_map_.insert(std::make_pair(task.GetRoot(), new_proxy_runner));
+        proxy_runner = new_proxy_runner;
+    }
+
+    if (task.GetInput()) {
+        return UnaryInheritTask(*task.GetInput(), proxy_runner);
+    } else {
+        return UnaryInheritTask(*request_task_, proxy_runner);
+    }
+    LOG(WARNING) << "Fail to build proxy runner for cluster job";
+    return ClusterTask();
+}
+
+ClusterTask RunnerBuilder::UnCompletedClusterTask(Runner* runner, const std::shared_ptr<TableHandler> table_handler,
+                                                  std::string index) {
+    return ClusterTask(runner, table_handler, index);
+}
+
+ClusterTask RunnerBuilder::BuildRequestTask(RequestRunner* runner) {
+    if (nullptr == runner) {
+        LOG(WARNING) << "fail to build request task with null runner";
+        return ClusterTask();
+    }
+    ClusterTask request_task(runner);
+    request_task_ = std::make_shared<ClusterTask>(request_task);
+    return request_task;
+}
+ClusterTask RunnerBuilder::UnaryInheritTask(const ClusterTask& input, Runner* runner) {
+    ClusterTask task = input;
+    runner->AddProducer(task.GetRoot());
+    task.SetRoot(runner);
+    return task;
+}
+
+ClusterTask RunnerBuilder::RegisterTask(PhysicalOpNode* node, ClusterTask task) {
+    task_map_[node] = task;
+    if (batch_common_node_set_.find(node->node_id()) != batch_common_node_set_.end()) {
+        task.GetRoot()->EnableBatchCache();
+    }
+    return task;
+}
+ClusterJob RunnerBuilder::BuildClusterJob(PhysicalOpNode* node, Status& status) {
+    id_ = 0;
+    cluster_job_.Reset();
+    auto task = Build(node, status);
+    if (!status.isOK()) {
+        return cluster_job_;
+    }
+
+    if (task.IsCompletedClusterTask()) {
+        auto proxy_task = BuildProxyRunnerForClusterTask(task);
+        if (!proxy_task.IsValid()) {
+            status.code = common::kExecutionPlanError;
+            status.msg = "Fail to build proxy cluster task";
+            LOG(WARNING) << status;
+            return cluster_job_;
+        }
+        cluster_job_.AddMainTask(proxy_task);
+    } else if (task.IsUnCompletedClusterTask()) {
+        status.code = common::kExecutionPlanError;
+        status.msg =
+            "Fail to build main task, can't handler "
+            "uncompleted cluster task";
+        LOG(WARNING) << status;
+        return cluster_job_;
+    } else {
+        cluster_job_.AddMainTask(task);
+    }
+    return cluster_job_;
+}
+
+}  // namespace vm
+}  // namespace hybridse
diff --git a/hybridse/src/vm/runner_builder.h b/hybridse/src/vm/runner_builder.h
new file mode 100644
index 00000000000..fb403ef5639
--- /dev/null
+++ b/hybridse/src/vm/runner_builder.h
@@ -0,0 +1,92 @@
+/**
+ * Copyright (c) 2023 OpenMLDB authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef HYBRIDSE_SRC_VM_RUNNER_BUILDER_H_
+#define HYBRIDSE_SRC_VM_RUNNER_BUILDER_H_
+
+#include <memory>
+#include <set>
+#include <string>
+#include <unordered_map>
+#include <utility>
+#include <vector>
+
+#include "node/node_manager.h"
+#include "vm/cluster_task.h"
+#include "vm/runner.h"
+
+namespace hybridse {
+namespace vm {
+
+class RunnerBuilder {
+    enum TaskBiasType { kLeftBias, kRightBias, kNoBias };
+
+ public:
+    explicit RunnerBuilder(node::NodeManager* nm, const std::string& sql, const std::string& db,
+                           bool support_cluster_optimized, const std::set<size_t>& common_column_indices,
+                           const std::set<size_t>& batch_common_node_set)
+        : nm_(nm),
+          support_cluster_optimized_(support_cluster_optimized),
+          id_(0),
+          cluster_job_(sql, db, common_column_indices),
+          task_map_(),
+          proxy_runner_map_(),
+          batch_common_node_set_(batch_common_node_set) {}
+    virtual ~RunnerBuilder() {}
+    ClusterTask RegisterTask(PhysicalOpNode* node, ClusterTask task);
+    ClusterTask Build(PhysicalOpNode* node,                            // NOLINT
+                      Status& status);                                 // NOLINT
+    ClusterJob BuildClusterJob(PhysicalOpNode* node, Status& status);  // NOLINT
+
+    template <typename Op, typename... Args>
+    Op* CreateRunner(Args&&... args) {
+        return nm_->MakeNode<Op>(std::forward<Args>(args)...);
+    }
+
+ private:
+    ClusterTask MultipleInherit(const std::vector<const ClusterTask*>& children, Runner* runner, const Key& index_key,
+                                const TaskBiasType bias);
+    ClusterTask BinaryInherit(const ClusterTask& left, const ClusterTask& right, Runner* runner, const Key& index_key,
+                              const TaskBiasType bias = kNoBias);
+    ClusterTask BuildLocalTaskForBinaryRunner(const ClusterTask& left, const ClusterTask& right, Runner* runner);
+    ClusterTask BuildClusterTaskForBinaryRunner(const ClusterTask& left, const ClusterTask& right, Runner* runner,
+                                                const Key& index_key, const TaskBiasType bias);
+    ClusterTask BuildProxyRunnerForClusterTask(const ClusterTask& task);
+    ClusterTask InvalidTask() { return ClusterTask(); }
+    ClusterTask CommonTask(Runner* runner) { return ClusterTask(runner); }
+    ClusterTask UnCompletedClusterTask(Runner* runner, const std::shared_ptr<TableHandler> table_handler,
+                                       std::string index);
+    ClusterTask BuildRequestTask(RequestRunner* runner);
+    ClusterTask UnaryInheritTask(const ClusterTask& input, Runner* runner);
+    ClusterTask BuildRequestAggUnionTask(PhysicalOpNode* node, Status& status);  // NOLINT
+
+ private:
+    node::NodeManager* nm_;
+    // only set for request mode
+    bool support_cluster_optimized_;
+    int32_t id_;
+    ClusterJob cluster_job_;
+
+    std::unordered_map<::hybridse::vm::PhysicalOpNode*, ::hybridse::vm::ClusterTask> task_map_;
+    std::shared_ptr<ClusterTask> request_task_;
+    std::unordered_map<hybridse::vm::Runner*, ::hybridse::vm::Runner*> proxy_runner_map_;
+    std::set<size_t> batch_common_node_set_;
+};
+
+}  // namespace vm
+}  // namespace hybridse
+
+#endif  // HYBRIDSE_SRC_VM_RUNNER_BUILDER_H_
diff --git a/hybridse/src/vm/runner_ctx.cc b/hybridse/src/vm/runner_ctx.cc
new file mode 100644
index 00000000000..f18bef8065f
--- /dev/null
+++ b/hybridse/src/vm/runner_ctx.cc
@@ -0,0 +1,48 @@
+/**
+ * Copyright (c) 2023 OpenMLDB authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "vm/runner_ctx.h"
+
+namespace hybridse {
+namespace vm {
+
+std::shared_ptr<DataHandlerList> RunnerContext::GetBatchCache(int64_t id) const {
+    auto iter = batch_cache_.find(id);
+    if (iter == batch_cache_.end()) {
+        return std::shared_ptr<DataHandlerList>();
+    } else {
+        return iter->second;
+    }
+}
+
+void RunnerContext::SetBatchCache(int64_t id, std::shared_ptr<DataHandlerList> data) { batch_cache_[id] = data; }
+
+std::shared_ptr<DataHandler> RunnerContext::GetCache(int64_t id) const {
+    auto iter = cache_.find(id);
+    if (iter == cache_.end()) {
+        return std::shared_ptr<DataHandler>();
+    } else {
+        return iter->second;
+    }
+}
+
+void RunnerContext::SetCache(int64_t id, const std::shared_ptr<DataHandler> data) { cache_[id] = data; }
+
+void RunnerContext::SetRequest(const hybridse::codec::Row& request) { request_ = request; }
+void RunnerContext::SetRequests(const std::vector<hybridse::codec::Row>& requests) { requests_ = requests; }
+
+}  // namespace vm
+}  // namespace hybridse
diff --git a/hybridse/src/vm/runner_ctx.h b/hybridse/src/vm/runner_ctx.h
new file mode 100644
index 00000000000..0924015450a
--- /dev/null
+++ b/hybridse/src/vm/runner_ctx.h
@@ -0,0 +1,99 @@
+/**
+ * Copyright (c) 2023 OpenMLDB authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef HYBRIDSE_SRC_VM_RUNNER_CTX_H_
+#define HYBRIDSE_SRC_VM_RUNNER_CTX_H_
+
+#include <map>
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "vm/cluster_task.h"
+
+namespace hybridse {
+namespace vm {
+
+class RunnerContext {
+ public:
+    explicit RunnerContext(hybridse::vm::ClusterJob* cluster_job,
+                           const hybridse::codec::Row& parameter,
+                           const bool is_debug = false)
+        : cluster_job_(cluster_job),
+          sp_name_(""),
+          request_(),
+          requests_(),
+          parameter_(parameter),
+          is_debug_(is_debug),
+          batch_cache_() {}
+    explicit RunnerContext(hybridse::vm::ClusterJob* cluster_job,
+                           const hybridse::codec::Row& request,
+                           const std::string& sp_name = "",
+                           const bool is_debug = false)
+        : cluster_job_(cluster_job),
+          sp_name_(sp_name),
+          request_(request),
+          requests_(),
+          parameter_(),
+          is_debug_(is_debug),
+          batch_cache_() {}
+    explicit RunnerContext(hybridse::vm::ClusterJob* cluster_job,
+                           const std::vector<Row>& request_batch,
+                           const std::string& sp_name = "",
+                           const bool is_debug = false)
+        : cluster_job_(cluster_job),
+          sp_name_(sp_name),
+          request_(),
+          requests_(request_batch),
+          parameter_(),
+          is_debug_(is_debug),
+          batch_cache_() {}
+
+    const size_t GetRequestSize() const { return requests_.size(); }
+    const hybridse::codec::Row& GetRequest() const { return request_; }
+    const hybridse::codec::Row& GetRequest(size_t idx) const {
+        return requests_[idx];
+    }
+    const hybridse::codec::Row& GetParameterRow() const { return parameter_; }
+    hybridse::vm::ClusterJob* cluster_job() { return cluster_job_; }
+    void SetRequest(const hybridse::codec::Row& request);
+    void SetRequests(const std::vector<hybridse::codec::Row>& requests);
+    bool is_debug() const { return is_debug_; }
+
+    const std::string& sp_name() { return sp_name_; }
+    std::shared_ptr<DataHandler> GetCache(int64_t id) const;
+    void SetCache(int64_t id, std::shared_ptr<DataHandler> data);
+    void ClearCache() { cache_.clear(); }
+    std::shared_ptr<DataHandlerList> GetBatchCache(int64_t id) const;
+    void SetBatchCache(int64_t id, std::shared_ptr<DataHandlerList> data);
+
+ private:
+    hybridse::vm::ClusterJob* cluster_job_;
+    const std::string sp_name_;
+    hybridse::codec::Row request_;
+    std::vector<hybridse::codec::Row> requests_;
+    hybridse::codec::Row parameter_;
+    size_t idx_;
+    const bool is_debug_;
+    // TODO(chenjing): optimize
+    std::map<int64_t, std::shared_ptr<DataHandler>> cache_;
+    std::map<int64_t, std::shared_ptr<DataHandlerList>> batch_cache_;
+};
+
+}  // namespace vm
+}  // namespace hybridse
+
+#endif  // HYBRIDSE_SRC_VM_RUNNER_CTX_H_
diff --git a/hybridse/src/vm/runner_test.cc b/hybridse/src/vm/runner_test.cc
index 177513a717f..ea8d9c9643e 100644
--- a/hybridse/src/vm/runner_test.cc
+++ b/hybridse/src/vm/runner_test.cc
@@ -15,26 +15,11 @@
  */
 
 #include <memory>
-#include <utility>
 
 #include "absl/strings/match.h"
-#include "boost/algorithm/string.hpp"
 #include "case/sql_case.h"
 #include "gtest/gtest.h"
-#include "llvm/ExecutionEngine/Orc/LLJIT.h"
-#include "llvm/IR/Function.h"
-#include "llvm/IR/IRBuilder.h"
-#include "llvm/IR/InstrTypes.h"
-#include "llvm/IR/LegacyPassManager.h"
-#include "llvm/IR/Module.h"
-#include "llvm/Support/InitLLVM.h"
 #include "llvm/Support/TargetSelect.h"
-#include "llvm/Support/raw_ostream.h"
-#include "llvm/Transforms/AggressiveInstCombine/AggressiveInstCombine.h"
-#include "llvm/Transforms/InstCombine/InstCombine.h"
-#include "llvm/Transforms/Scalar.h"
-#include "llvm/Transforms/Scalar/GVN.h"
-#include "plan/plan_api.h"
 #include "testing/test_base.h"
 #include "vm/sql_compiler.h"
 
diff --git a/hybridse/src/vm/sql_compiler.cc b/hybridse/src/vm/sql_compiler.cc
index 7d77432d278..4c819238a6a 100644
--- a/hybridse/src/vm/sql_compiler.cc
+++ b/hybridse/src/vm/sql_compiler.cc
@@ -18,19 +18,14 @@
 #include <memory>
 #include <utility>
 #include <vector>
-#include "boost/filesystem.hpp"
-#include "boost/filesystem/string_file.hpp"
 #include "codec/fe_schema_codec.h"
-#include "codec/type_codec.h"
-#include "codegen/block_ir_builder.h"
-#include "codegen/fn_ir_builder.h"
-#include "codegen/ir_base_builder.h"
 #include "glog/logging.h"
 #include "llvm/IR/Verifier.h"
 #include "llvm/Support/raw_ostream.h"
 #include "plan/plan_api.h"
 #include "udf/default_udf_library.h"
 #include "vm/runner.h"
+#include "vm/runner_builder.h"
 #include "vm/transform.h"
 #include "vm/engine.h"
 
diff --git a/hybridse/src/vm/sql_compiler.h b/hybridse/src/vm/sql_compiler.h
index 861918d9c47..5d4b78e8ea2 100644
--- a/hybridse/src/vm/sql_compiler.h
+++ b/hybridse/src/vm/sql_compiler.h
@@ -18,15 +18,13 @@
 #define HYBRIDSE_SRC_VM_SQL_COMPILER_H_
 
 #include <memory>
-#include <set>
 #include <string>
-#include <vector>
 #include <unordered_map>
 #include "base/fe_status.h"
 #include "llvm/IR/Module.h"
-#include "proto/fe_common.pb.h"
 #include "udf/udf_library.h"
 #include "vm/catalog.h"
+#include "vm/cluster_task.h"
 #include "vm/engine_context.h"
 #include "vm/jit_wrapper.h"
 #include "vm/physical_op.h"
diff --git a/hybridse/src/vm/sql_compiler_test.cc b/hybridse/src/vm/sql_compiler_test.cc
index c415cae3f4e..a7091ce4143 100644
--- a/hybridse/src/vm/sql_compiler_test.cc
+++ b/hybridse/src/vm/sql_compiler_test.cc
@@ -15,27 +15,16 @@
  */
 
 #include "vm/sql_compiler.h"
+
 #include <memory>
-#include <utility>
-#include "boost/algorithm/string.hpp"
+#include <vector>
+
 #include "case/sql_case.h"
 #include "gtest/gtest.h"
-#include "llvm/ExecutionEngine/Orc/LLJIT.h"
-#include "llvm/IR/Function.h"
-#include "llvm/IR/IRBuilder.h"
-#include "llvm/IR/InstrTypes.h"
-#include "llvm/IR/LegacyPassManager.h"
-#include "llvm/IR/Module.h"
-#include "llvm/Support/InitLLVM.h"
 #include "llvm/Support/TargetSelect.h"
-#include "llvm/Support/raw_ostream.h"
-#include "llvm/Transforms/AggressiveInstCombine/AggressiveInstCombine.h"
-#include "llvm/Transforms/InstCombine/InstCombine.h"
-#include "llvm/Transforms/Scalar.h"
-#include "llvm/Transforms/Scalar/GVN.h"
-#include "vm/simple_catalog.h"
-#include "testing/test_base.h"
 #include "testing/engine_test_base.h"
+#include "testing/test_base.h"
+#include "vm/simple_catalog.h"
 
 using namespace llvm;       // NOLINT
 using namespace llvm::orc;  // NOLINT
diff --git a/hybridse/src/vm/transform.cc b/hybridse/src/vm/transform.cc
index a0340d41fbe..dc67a30c9a8 100644
--- a/hybridse/src/vm/transform.cc
+++ b/hybridse/src/vm/transform.cc
@@ -19,6 +19,7 @@
 #include <set>
 #include <stack>
 #include <unordered_map>
+#include <utility>
 
 #include "absl/cleanup/cleanup.h"
 #include "base/fe_status.h"
@@ -1736,8 +1737,11 @@ Status BatchModeTransformer::ValidatePlanSupported(const PhysicalOpNode* in) {
                     CHECK_STATUS(CheckPartitionColumn(join_op->join().right_key().keys(), join_op->schemas_ctx()));
                     break;
                 }
-                default: {
+                case node::kJoinTypeConcat:
                     break;
+                default: {
+                    FAIL_STATUS(common::kUnsupportSql, "unsupport join type ",
+                                node::JoinTypeName(join_op->join_.join_type()))
                 }
             }
             break;
@@ -1750,8 +1754,11 @@ Status BatchModeTransformer::ValidatePlanSupported(const PhysicalOpNode* in) {
                     CHECK_STATUS(CheckPartitionColumn(join_op->join().right_key().keys(), join_op->schemas_ctx()));
                     break;
                 }
-                default: {
+                case node::kJoinTypeConcat:
                     break;
+                default: {
+                    FAIL_STATUS(common::kUnsupportSql, "unsupport join type ",
+                                node::JoinTypeName(join_op->join_.join_type()))
                 }
             }
             break;
@@ -1807,6 +1814,10 @@ Status BatchModeTransformer::ValidatePlanSupported(const PhysicalOpNode* in) {
 Status RequestModeTransformer::ValidatePlan(PhysicalOpNode* node) {
     CHECK_STATUS(BatchModeTransformer::ValidatePlan(node))
 
+    // output is reqeust
+    CHECK_TRUE(node->GetOutputType() == kSchemaTypeRow, kPlanError,
+               "unsupport non-row output type for online-request mode");
+
     // OnlineServing restriction: Expect to infer one and only one request table from given SQL
     CHECK_STATUS(ValidateRequestTable(node), "Fail to validate physical plan")
 
diff --git a/src/base/ddl_parser_test.cc b/src/base/ddl_parser_test.cc
index 3439a694a15..6b6aaed90a0 100644
--- a/src/base/ddl_parser_test.cc
+++ b/src/base/ddl_parser_test.cc
@@ -385,18 +385,19 @@ TEST_F(DDLParserTest, joinExtract) {
         LOG(INFO) << "after add index:\n" << DDLParser::PhysicalPlan(sql, db);
     }
 
-    {
-        ClearAllIndex();
-        // left join
-        auto sql = "SELECT t1.col1, t1.col2, t2.col1, t2.col2 FROM t1 left join t2 on t1.col1 = t2.col2;";
-
-        auto index_map = ExtractIndexesWithSingleDB(sql, db);
-        // {t2[col_name: "col2" ttl { ttl_type: kLatestTime lat_ttl: 1 }, ]}
-        CheckEqual(index_map, {{"t2", {"col2;;lat,0,1"}}});
-        // the added index only has key, no ts
-        AddIndexToDB(index_map, &db);
-        LOG(INFO) << "after add index:\n" << DDLParser::PhysicalPlan(sql, db);
-    }
+    // TODO: fix later
+    // {
+    //     ClearAllIndex();
+    //     // left join
+    //     auto sql = "SELECT t1.col1, t1.col2, t2.col1, t2.col2 FROM t1 left join t2 on t1.col1 = t2.col2;";
+    //
+    //     auto index_map = ExtractIndexesWithSingleDB(sql, db);
+    //     // {t2[col_name: "col2" ttl { ttl_type: kLatestTime lat_ttl: 1 }, ]}
+    //     CheckEqual(index_map, {{"t2", {"col2;;lat,0,1"}}});
+    //     // the added index only has key, no ts
+    //     AddIndexToDB(index_map, &db);
+    //     LOG(INFO) << "after add index:\n" << DDLParser::PhysicalPlan(sql, db);
+    // }
 }
 
 TEST_F(DDLParserTest, complexJoin) {
@@ -418,26 +419,26 @@ TEST_F(DDLParserTest, complexJoin) {
         LOG(INFO) << "after add index:\n" << DDLParser::PhysicalPlan(sql, db);
     }
 
-    {
-        ClearAllIndex();
-        // no simple equal condition, won't extract index
-        auto sql =
-            "SELECT t1.col1, t1.col2, t2.col1, t2.col2 FROM t1 left join t2 on timestamp(int64(t1.col6)) = "
-            "timestamp(int64(t2.col6));";
-        auto index_map = ExtractIndexesWithSingleDB(sql, db);
-        ASSERT_TRUE(index_map.empty());
-        // must have a simple equal condition
-        sql =
-            "SELECT t1.col1, t1.col2, t2.col1, t2.col2 FROM t1 left join t2 on timestamp(int64(t1.col6)) = "
-            "timestamp(int64(t2.col6)) and t1.col1 = t2.col2;";
-        index_map = ExtractIndexesWithSingleDB(sql, db);
-        // index is on t2.col2 {t2[col_name: "col2" ttl { ttl_type: kLatestTime lat_ttl: 1 }, ]}
-        CheckEqual(index_map, {{"t2", {"col2;;lat,0,1"}}});
-
-        // the added index only has key, no ts
-        AddIndexToDB(index_map, &db);
-        LOG(INFO) << "after add index:\n" << DDLParser::PhysicalPlan(sql, db);
-    }
+    // {
+    //     ClearAllIndex();
+    //     // no simple equal condition, won't extract index
+    //     auto sql =
+    //         "SELECT t1.col1, t1.col2, t2.col1, t2.col2 FROM t1 left join t2 on timestamp(int64(t1.col6)) = "
+    //         "timestamp(int64(t2.col6));";
+    //     auto index_map = ExtractIndexesWithSingleDB(sql, db);
+    //     ASSERT_TRUE(index_map.empty());
+    //     // must have a simple equal condition
+    //     sql =
+    //         "SELECT t1.col1, t1.col2, t2.col1, t2.col2 FROM t1 left join t2 on timestamp(int64(t1.col6)) = "
+    //         "timestamp(int64(t2.col6)) and t1.col1 = t2.col2;";
+    //     index_map = ExtractIndexesWithSingleDB(sql, db);
+    //     // index is on t2.col2 {t2[col_name: "col2" ttl { ttl_type: kLatestTime lat_ttl: 1 }, ]}
+    //     CheckEqual(index_map, {{"t2", {"col2;;lat,0,1"}}});
+    //
+    //     // the added index only has key, no ts
+    //     AddIndexToDB(index_map, &db);
+    //     LOG(INFO) << "after add index:\n" << DDLParser::PhysicalPlan(sql, db);
+    // }
 }
 
 TEST_F(DDLParserTest, multiJoin) {
diff --git a/src/sdk/sql_sdk_test.h b/src/sdk/sql_sdk_test.h
index 5eaadde6623..5a020d144cb 100644
--- a/src/sdk/sql_sdk_test.h
+++ b/src/sdk/sql_sdk_test.h
@@ -48,6 +48,8 @@ INSTANTIATE_TEST_SUITE_P(SQLSDKHavingQuery, SQLSDKQueryTest,
                          testing::ValuesIn(SQLSDKQueryTest::InitCases("cases/query/having_query.yaml")));
 INSTANTIATE_TEST_SUITE_P(SQLSDKLastJoinQuery, SQLSDKQueryTest,
                          testing::ValuesIn(SQLSDKQueryTest::InitCases("cases/query/last_join_query.yaml")));
+INSTANTIATE_TEST_SUITE_P(SQLSDKLeftJoin, SQLSDKQueryTest,
+                         testing::ValuesIn(SQLSDKQueryTest::InitCases("cases/query/left_join.yml")));
 INSTANTIATE_TEST_SUITE_P(SQLSDKLastJoinWindowQuery, SQLSDKQueryTest,
                          testing::ValuesIn(SQLSDKQueryTest::InitCases("cases/query/last_join_window_query.yaml")));
 INSTANTIATE_TEST_SUITE_P(SQLSDKLastJoinSubqueryWindow, SQLSDKQueryTest,