chore: bump to spark 3.3.2

build.sbt

@@ -8,7 +8,7 @@ import scala.xml.transform.{RewriteRule, RuleTransformer}
 import scala.xml.{Node => XmlNode, NodeSeq => XmlNodeSeq, _}
 
 val condaEnvName = "synapseml"
-val sparkVersion = "3.2.3"
+val sparkVersion = "3.3.2"
 name := "synapseml"
 ThisBuild / organization := "com.microsoft.azure"
 ThisBuild / scalaVersion := "2.12.15"

core/src/main/scala/com/microsoft/azure/synapse/ml/codegen/PyCodegen.scala

@@ -68,11 +68,11 @@ object PyCodegen {
       // There's `Already borrowed` error found in transformers 4.16.2 when using tokenizers
       s"""extras_require={"extras": [
          |    "cmake",
-         |    "horovod==0.25.0",
+         |    "horovod==0.27.0",
          |    "pytorch_lightning>=1.5.0,<1.5.10",
-         |    "torch==1.11.0",
-         |    "torchvision>=0.12.0",
-         |    "transformers==4.15.0",
+         |    "torch==1.13.1",
+         |    "torchvision>=0.14.1",
+         |    "transformers==4.32.1",
          |    "petastorm>=0.12.0",
          |    "huggingface-hub>=0.8.1",
          |]},

core/src/test/scala/com/microsoft/azure/synapse/ml/codegen/RTestGen.scala

@@ -101,7 +101,7 @@ object RTestGen {
          |  "spark.sql.shuffle.partitions=10",
          |  "spark.sql.crossJoin.enabled=true")
          |
-         |sc <- spark_connect(master = "local", version = "3.2.4", config = conf)
+         |sc <- spark_connect(master = "local", version = "3.3.2", config = conf)
          |
          |""".stripMargin, StandardOpenOption.CREATE)
 

core/src/test/scala/com/microsoft/azure/synapse/ml/nbtest/DatabricksGPUTests.scala

@@ -11,11 +11,7 @@ import java.io.File
 import scala.collection.mutable.ListBuffer
 
 class DatabricksGPUTests extends DatabricksTestHelper {
-  val horovodInstallationScript: File = FileUtilities.join(
-    BuildInfo.baseDirectory.getParent, "deep-learning",
-    "src", "main", "python", "horovod_installation.sh").getCanonicalFile
-  uploadFileToDBFS(horovodInstallationScript, "/FileStore/horovod-fix-commit/horovod_installation.sh")
-  val clusterId: String = createClusterInPool(GPUClusterName, AdbGpuRuntime, 2, GpuPoolId, GPUInitScripts)
+  val clusterId: String = createClusterInPool(GPUClusterName, AdbGpuRuntime, 2, GpuPoolId, "[]")
   val jobIdsToCancel: ListBuffer[Int] = databricksTestHelper(
     clusterId, GPULibraries, GPUNotebooks)
 

core/src/test/scala/com/microsoft/azure/synapse/ml/nbtest/DatabricksUtilities.scala

@@ -29,10 +29,11 @@ object DatabricksUtilities {
 
   // ADB Info
   val Region = "eastus"
-  val PoolName = "synapseml-build-10.4"
-  val GpuPoolName = "synapseml-build-10.4-gpu"
-  val AdbRuntime = "10.4.x-scala2.12"
-  val AdbGpuRuntime = "10.4.x-gpu-ml-scala2.12"
+  val PoolName = "synapseml-build-12.2"
+  val GpuPoolName = "synapseml-build-12.2-gpu"
+  val AdbRuntime = "12.2.x-scala2.12"
+  // https://learn.microsoft.com/en-us/azure/databricks/release-notes/runtime/
+  val AdbGpuRuntime = "12.2.x-gpu-ml-scala2.12"
   val NumWorkers = 5
   val AutoTerminationMinutes = 15
 
@@ -75,8 +76,11 @@ object DatabricksUtilities {
   // TODO: install synapse.ml.dl wheel package here
   val GPULibraries: String = List(
     Map("maven" -> Map("coordinates" -> PackageMavenCoordinate, "repo" -> PackageRepository)),
-    Map("pypi" -> Map("package" -> "transformers==4.15.0")),
-    Map("pypi" -> Map("package" -> "petastorm==0.12.0"))
+    Map("pypi" -> Map("package" -> "pytorch-lightning==1.5.0")),
+    Map("pypi" -> Map("package" -> "torchvision==0.14.1")),
+    Map("pypi" -> Map("package" -> "transformers==4.25.1")),
+    Map("pypi" -> Map("package" -> "petastorm==0.12.1")),
+    Map("pypi" -> Map("package" -> "protobuf==3.19.4"))
   ).toJson.compactPrint
 
   val GPUInitScripts: String = List(

core/src/test/scala/com/microsoft/azure/synapse/ml/nbtest/SynapseUtilities.scala

@@ -255,7 +255,7 @@ object SynapseUtilities {
        |    "nodeSizeFamily": "MemoryOptimized",
        |    "provisioningState": "Succeeded",
        |    "sessionLevelPackagesEnabled": "true",
-       |    "sparkVersion": "3.2"
+       |    "sparkVersion": "3.3"
        |  }
        |}
        |""".stripMargin

deep-learning/src/main/python/horovod_installation.sh

@@ -7,10 +7,10 @@ set -eu
 
 # Install prerequisite libraries that horovod depends on
 pip install pytorch-lightning==1.5.0
-pip install torchvision==0.12.0
-pip install transformers==4.15.0
+pip install torchvision==0.14.1
+pip install transformers==4.25.1
 pip install petastorm>=0.12.0
-pip install protobuf==3.20.3
+pip install protobuf==3.19.1
 
 # Remove Outdated Signing Key:
 sudo apt-key del 7fa2af80
@@ -35,16 +35,13 @@ libcusparse-dev-11-0=11.1.1.245-1
 
 git clone --recursive https://github.com/horovod/horovod.git
 cd horovod
-# # fix version 0.25.0
-# git fetch origin refs/tags/v0.25.0:tags/v0.25.0
-# git checkout tags/v0.25.0 -b v0.25.0-branch
-# fix to this commit number until they release a new version
-git checkout ab97fd15bbba3258adcdd12983f36a1cdeacbc94
+# git fetch origin refs/tags/v0.27.0:tags/v0.27.0
+git checkout bfaca90d5cf66780a97d8799d4e1573855b64560
 git checkout -b tmp-branch
 rm -rf build/ dist/
 HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_CUDA_HOME=/usr/local/cuda-11/ HOROVOD_WITH_PYTORCH=1 HOROVOD_WITHOUT_MXNET=1 \
 /databricks/python3/bin/python setup.py bdist_wheel
 
 readlink -f dist/horovod-*.whl
 
-pip install --no-cache-dir dist/horovod-0.25.0-cp38-cp38-linux_x86_64.whl --force-reinstall --no-deps
+pip install --no-cache-dir dist/horovod-0.27.0-cp38-cp38-linux_x86_64.whl --force-reinstall --no-deps

deep-learning/src/main/python/synapse/ml/dl/DeepTextClassifier.py

@@ -11,12 +11,12 @@
 if _TRANSFORMERS_AVAILABLE:
     import transformers
 
-    _TRANSFORMERS_EQUAL_4_15_0 = transformers.__version__ == "4.15.0"
-    if _TRANSFORMERS_EQUAL_4_15_0:
+    _TRANSFORMERS_EQUAL_4_25_1 = transformers.__version__ == "4.25.1"
+    if _TRANSFORMERS_EQUAL_4_25_1:
         from transformers import AutoTokenizer
     else:
         raise RuntimeError(
-            "transformers should be == 4.15.0, found: {}".format(
+            "transformers should be == 4.25.1, found: {}".format(
                 transformers.__version__
             )
         )

deep-learning/src/main/python/synapse/ml/dl/DeepVisionClassifier.py

@@ -19,10 +19,10 @@
 if _HOROVOD_AVAILABLE:
     import horovod
 
-    _HOROVOD_EQUAL_0_25_0 = horovod.__version__ == "0.25.0"
-    if not _HOROVOD_EQUAL_0_25_0:
+    _HOROVOD_EQUAL_0_27_0 = horovod.__version__ == "0.27.0"
+    if not _HOROVOD_EQUAL_0_27_0:
         raise RuntimeError(
-            "horovod should be of version 0.25.0, found: {}".format(horovod.__version__)
+            "horovod should be of version 0.27.0, found: {}".format(horovod.__version__)
         )
 else:
     raise ModuleNotFoundError("module not found: horovod")

deep-learning/src/main/python/synapse/ml/dl/LitDeepTextModel.py

@@ -13,12 +13,12 @@
 if _TRANSFORMERS_AVAILABLE:
     import transformers
 
-    _TRANSFORMERS_EQUAL_4_15_0 = transformers.__version__ == "4.15.0"
-    if _TRANSFORMERS_EQUAL_4_15_0:
+    _TRANSFORMERS_EQUAL_4_25_1 = transformers.__version__ == "4.25.1"
+    if _TRANSFORMERS_EQUAL_4_25_1:
         from transformers import AutoModelForSequenceClassification
     else:
         raise RuntimeError(
-            "transformers should be == 4.15.0, found: {}".format(
+            "transformers should be == 4.25.1, found: {}".format(
                 transformers.__version__
             )
         )

docs/Explore Algorithms/Anomaly Detection/Quickstart - Isolation Forests.ipynb

@@ -30,16 +30,16 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "outputs": [],
-   "source": [
-    "%pip install sqlparse raiwidgets interpret-community mlflow==2.6.0"
-   ],
    "metadata": {
     "collapsed": false,
     "pycharm": {
      "name": "#%%\n"
     }
-   }
+   },
+   "outputs": [],
+   "source": [
+    "%pip install sqlparse raiwidgets interpret-community mlflow==2.5.0"
+   ]
   },
   {
    "cell_type": "markdown",

docs/Explore Algorithms/Deep Learning/Quickstart - Fine-tune a Text Classifier.ipynb

@@ -16,24 +16,33 @@
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "### Environment Setup on databricks"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "### Environment Setup on databricks"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "# install cloudpickle 2.0.0 to add synapse module for usage of horovod\n",
     "%pip install cloudpickle==2.0.0 --force-reinstall --no-deps"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install protobuf==3.20.1 --force-reinstall"
+   ]
   },
   {
    "cell_type": "code",

docs/Explore Algorithms/Deep Learning/Quickstart - Fine-tune a Vision Classifier.ipynb

@@ -25,6 +25,15 @@
     "%pip install cloudpickle==2.0.0 --force-reinstall --no-deps"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install protobuf==3.20.1 --force-reinstall"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

docs/Explore Algorithms/Hyperparameter Tuning/HyperOpt.ipynb

@@ -31,7 +31,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install hyperopt mlflow"
+    "%pip install hyperopt mlflow==2.5.0"
    ]
   },
   {

environment.yml

@@ -11,8 +11,7 @@ dependencies:
   - r-devtools=2.4.2
   - pip:
     - pyarrow>=0.15.0
-    - numpy>=1.19.3
-    - pyspark==3.2.3
+    - pyspark==3.3.2
     - pandas==1.2.5
     - wheel
     - sphinx==4.2.0
@@ -32,15 +31,16 @@ dependencies:
     - twine
     - jupyter
     - mlflow
-    - torch==1.11.0
-    - torchvision==0.12.0
-    - horovod==0.25.0
+    - numpy
+    - torch==1.13.1
+    - torchvision==0.14.1
+    - horovod==0.27.0
     - petastorm>=0.11.0
     - pytorch_lightning==1.5.0
     - onnxmltools==1.7.0
     - matplotlib
     - Pillow
-    - transformers==4.15.0
+    - transformers==4.25.1
     - huggingface-hub>=0.8.1
     - langchain==0.0.151
     - openai==0.27.5

pipeline.yaml

@@ -527,8 +527,8 @@ jobs:
           fi
           sbt publishM2
 
-          SPARK_VERSION=3.2.4
-          HADOOP_VERSION=3.2
+          SPARK_VERSION=3.3.2
+          HADOOP_VERSION=3
           wget https://archive.apache.org/dist/spark/spark-${SPARK_VERSION}/spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz
           (timeout 20m sbt "project $(PACKAGE)" coverage testR) || (echo "retrying" && timeout 20m sbt "project $(PACKAGE)" coverage testR) || (echo "retrying" && timeout 20m sbt "project $(PACKAGE)" coverage testR)
     - task: PublishTestResults@2

start

@@ -1,8 +1,8 @@
 #!/bin/bash
 
 export OPENMPI_VERSION="3.1.2"
-export SPARK_VERSION="3.2.3"
-export HADOOP_VERSION="2.7"
+export SPARK_VERSION="3.3.2"
+export HADOOP_VERSION="3.3"
 export SYNAPSEML_VERSION="0.11.3" # Binder compatibility version
 
 echo "Beginning Spark Session..."

tools/docker/demo/Dockerfile

@@ -3,8 +3,8 @@ FROM mcr.microsoft.com/oss/mirror/docker.io/library/ubuntu:20.04
 ARG SYNAPSEML_VERSION=0.11.3
 ARG DEBIAN_FRONTEND=noninteractive
 
-ENV SPARK_VERSION=3.2.3
-ENV HADOOP_VERSION=2.7
+ENV SPARK_VERSION=3.3.2
+ENV HADOOP_VERSION=3
 ENV SYNAPSEML_VERSION=${SYNAPSEML_VERSION}
 ENV JAVA_HOME /usr/lib/jvm/java-1.11.0-openjdk-amd64
 

tools/docker/minimal/Dockerfile

@@ -3,8 +3,8 @@ FROM mcr.microsoft.com/oss/mirror/docker.io/library/ubuntu:20.04
 ARG SYNAPSEML_VERSION=0.11.3
 ARG DEBIAN_FRONTEND=noninteractive
 
-ENV SPARK_VERSION=3.2.3
-ENV HADOOP_VERSION=2.7
+ENV SPARK_VERSION=3.3.2
+ENV HADOOP_VERSION=3
 ENV SYNAPSEML_VERSION=${SYNAPSEML_VERSION}
 ENV JAVA_HOME /usr/lib/jvm/java-1.11.0-openjdk-amd64
 

tools/dotnet/dotnetSetup.sh

@@ -20,11 +20,11 @@ echo "##vso[task.setvariable variable=DOTNET_WORKER_DIR]$DOTNET_WORKER_DIR"
 # Install Sleet
 dotnet tool install -g sleet
 
-# Install Apache Spark-3.2
-curl https://archive.apache.org/dist/spark/spark-3.2.0/spark-3.2.0-bin-hadoop3.2.tgz -o spark-3.2.0-bin-hadoop3.2.tgz
+# Install Apache Spark-3.3
+curl https://archive.apache.org/dist/spark/spark-3.3.2/spark-3.3.2-bin-hadoop3.tgz -o spark-3.3.2-bin-hadoop3.tgz
 mkdir ~/bin
-tar -xzvf spark-3.2.0-bin-hadoop3.2.tgz -C ~/bin
-export SPARK_HOME=~/bin/spark-3.2.0-bin-hadoop3.2/
+tar -xzvf spark-3.3.2-bin-hadoop3.tgz -C ~/bin
+export SPARK_HOME=~/bin/spark-3.3.2-bin-hadoop3/
 export PATH=$SPARK_HOME/bin:$PATH
 echo "##vso[task.setvariable variable=SPARK_HOME]$SPARK_HOME"
 echo "##vso[task.setvariable variable=PATH]$SPARK_HOME/bin:$PATH"

tools/tests/run_r_tests.R

@@ -3,7 +3,7 @@ if (!require("sparklyr")) {
   library("sparklyr")
 }
 
-spark_install_tar(paste(getwd(), "/../../../../../../spark-3.2.4-bin-hadoop3.2.tgz", sep = ""))
+spark_install_tar(paste(getwd(), "/../../../../../../spark-3.3.2-bin-hadoop3.tgz", sep = ""))
 
 options("testthat.output_file" = "../../../../r-test-results.xml")
 devtools::test(reporter = JunitReporter$new())