feat: support COUNT() (#11229)

* feat: add count empty rewrite

* feat: make count support zero args

* docs: add apache license

* tests: make count() valid

* tests: more tests

* refactor: sketch `AggregateFunctionPlanner`

* refactor: cleanup `AggregateFunctionPlanner`

* feat: add back rule

* Revert "feat: add back rule"

This reverts commit 2c4fc0a.

* Revert "refactor: cleanup `AggregateFunctionPlanner`"

This reverts commit 4550dbd.

* Revert "refactor: sketch `AggregateFunctionPlanner`"

This reverts commit 658671e.

* Apply suggestions from code review

Co-authored-by: Andrew Lamb <[email protected]>

* refactor: PR feedback

* style: fix indent

---------

Co-authored-by: Andrew Lamb <[email protected]>

datafusion/functions-aggregate/src/count.rs

@@ -44,7 +44,7 @@ use datafusion_expr::{
     function::AccumulatorArgs, utils::format_state_name, Accumulator, AggregateUDFImpl,
     EmitTo, GroupsAccumulator, Signature, Volatility,
 };
-use datafusion_expr::{Expr, ReversedUDAF};
+use datafusion_expr::{Expr, ReversedUDAF, TypeSignature};
 use datafusion_physical_expr_common::aggregate::groups_accumulator::accumulate::accumulate_indices;
 use datafusion_physical_expr_common::{
     aggregate::count_distinct::{
@@ -95,7 +95,11 @@ impl Default for Count {
 impl Count {
     pub fn new() -> Self {
         Self {
-            signature: Signature::variadic_any(Volatility::Immutable),
+            signature: Signature::one_of(
+                // TypeSignature::Any(0) is required to handle `Count()` with no args
+                vec![TypeSignature::VariadicAny, TypeSignature::Any(0)],
+                Volatility::Immutable,
+            ),
         }
     }
 }

datafusion/optimizer/src/analyzer/count_wildcard_rule.rs

@@ -35,7 +35,7 @@ pub struct CountWildcardRule {}
 
 impl CountWildcardRule {
     pub fn new() -> Self {
-        CountWildcardRule {}
+        Self {}
     }
 }
 
@@ -59,14 +59,14 @@ fn is_count_star_aggregate(aggregate_function: &AggregateFunction) -> bool {
             func_def: AggregateFunctionDefinition::UDF(udf),
             args,
             ..
-        } if udf.name() == "count" && args.len() == 1 && is_wildcard(&args[0]))
+        } if udf.name() == "count" && (args.len() == 1 && is_wildcard(&args[0]) || args.is_empty()))
 }
 
 fn is_count_star_window_aggregate(window_function: &WindowFunction) -> bool {
     let args = &window_function.args;
     matches!(window_function.fun,
         WindowFunctionDefinition::AggregateUDF(ref udaf)
-            if udaf.name() == "count" && args.len() == 1 && is_wildcard(&args[0]))
+            if udaf.name() == "count" && (args.len() == 1 && is_wildcard(&args[0]) || args.is_empty()))
 }
 
 fn analyze_internal(plan: LogicalPlan) -> Result<Transformed<LogicalPlan>> {

datafusion/sqllogictest/test_files/count_star_rule.slt

@@ -0,0 +1,105 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you 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.
+
+statement ok
+CREATE TABLE t1 (a INTEGER, b INTEGER, c INTEGER);
+
+statement ok
+INSERT INTO t1 VALUES
+(1, 2, 3),
+(1, 5, 6),
+(2, 3, 5);
+
+statement ok
+CREATE TABLE t2 (a INTEGER, b INTEGER, c INTEGER);
+
+query TT
+EXPLAIN SELECT COUNT() FROM (SELECT 1 AS a, 2 AS b) AS t;
+----
+logical_plan
+01)Aggregate: groupBy=[[]], aggr=[[count(Int64(1)) AS count()]]
+02)--SubqueryAlias: t
+03)----EmptyRelation
+physical_plan
+01)ProjectionExec: expr=[1 as count()]
+02)--PlaceholderRowExec
+
+query TT
+EXPLAIN SELECT t1.a, COUNT() FROM t1 GROUP BY t1.a;
+----
+logical_plan
+01)Aggregate: groupBy=[[t1.a]], aggr=[[count(Int64(1)) AS count()]]
+02)--TableScan: t1 projection=[a]
+physical_plan
+01)AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[count()]
+02)--CoalesceBatchesExec: target_batch_size=8192
+03)----RepartitionExec: partitioning=Hash([a@0], 4), input_partitions=4
+04)------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
+05)--------AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[count()]
+06)----------MemoryExec: partitions=1, partition_sizes=[1]
+
+query TT
+EXPLAIN SELECT t1.a, COUNT() AS cnt FROM t1 GROUP BY t1.a HAVING COUNT() > 0;
+----
+logical_plan
+01)Projection: t1.a, count() AS cnt
+02)--Filter: count() > Int64(0)
+03)----Aggregate: groupBy=[[t1.a]], aggr=[[count(Int64(1)) AS count()]]
+04)------TableScan: t1 projection=[a]
+physical_plan
+01)ProjectionExec: expr=[a@0 as a, count()@1 as cnt]
+02)--CoalesceBatchesExec: target_batch_size=8192
+03)----FilterExec: count()@1 > 0
+04)------AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[count()]
+05)--------CoalesceBatchesExec: target_batch_size=8192
+06)----------RepartitionExec: partitioning=Hash([a@0], 4), input_partitions=4
+07)------------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
+08)--------------AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[count()]
+09)----------------MemoryExec: partitions=1, partition_sizes=[1]
+
+query II
+SELECT t1.a, COUNT() AS cnt FROM t1 GROUP BY t1.a HAVING COUNT() > 1;
+----
+1 2
+
+query TT
+EXPLAIN SELECT a, COUNT() OVER (PARTITION BY a) AS count_a FROM t1;
+----
+logical_plan
+01)Projection: t1.a, count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS count_a
+02)--WindowAggr: windowExpr=[[count(Int64(1)) PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING]]
+03)----TableScan: t1 projection=[a]
+physical_plan
+01)ProjectionExec: expr=[a@0 as a, count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING@1 as count_a]
+02)--WindowAggExec: wdw=[count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING: Ok(Field { name: "count() PARTITION BY [t1.a] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING", data_type: Int64, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }), frame: WindowFrame { units: Rows, start_bound: Preceding(UInt64(NULL)), end_bound: Following(UInt64(NULL)), is_causal: false }]
+03)----SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[true]
+04)------CoalesceBatchesExec: target_batch_size=8192
+05)--------RepartitionExec: partitioning=Hash([a@0], 4), input_partitions=1
+06)----------MemoryExec: partitions=1, partition_sizes=[1]
+
+query II
+SELECT a, COUNT() OVER (PARTITION BY a) AS count_a FROM t1 ORDER BY a;
+----
+1 2
+1 2
+2 1
+
+statement ok
+DROP TABLE t1;
+
+statement ok
+DROP TABLE t2;

datafusion/sqllogictest/test_files/errors.slt

@@ -103,10 +103,6 @@ SELECT power(1, 2, 3);
 # Wrong window/aggregate function signature
 #
 
-# AggregateFunction with wrong number of arguments
-query error
-select count();
-
 # AggregateFunction with wrong number of arguments
 query error
 select avg(c1, c12) from aggregate_test_100;