Migrate PR builders from Jenkins to Github Actions

.github/workflows/master.yml

@@ -9,148 +9,231 @@ on:
     - master
 
 jobs:
+  # Build: build Spark and run the tests for specified modules.
   build:
-
+    name: "Build modules: ${{ matrix.modules }} ${{ matrix.comment }} (JDK ${{ matrix.java }}, ${{ matrix.hadoop }}, ${{ matrix.hive }})"
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
-        java: [ '1.8', '11' ]
-        hadoop: [ 'hadoop-2.7', 'hadoop-3.2' ]
-        hive: [ 'hive-1.2', 'hive-2.3' ]
-        exclude:
-        - java: '11'
-          hive: 'hive-1.2'
-        - hadoop: 'hadoop-3.2'
-          hive: 'hive-1.2'
-    name: Build Spark - JDK${{ matrix.java }}/${{ matrix.hadoop }}/${{ matrix.hive }}
-
+        java:
+          - 1.8
+        hadoop:
+          - hadoop3.2
+        hive:
+          - hive2.3
+        # TODO(SPARK-XXXXX): We don't test 'streaming-kinesis-asl' for now.
+        # Kinesis tests depends on external Amazon kinesis service.
+        # Note that the modules below are from sparktestsupport/modules.py.
+        modules:
+          - |-
+            core, unsafe, kvstore, avro,
+            network_common, network_shuffle, repl, launcher
+            examples, sketch, graphx
+          - |-
+            catalyst, sql
+          - |-
+            hive-thriftserver
+          - |-
+            streaming, sql-kafka-0-10, streaming-kafka-0-10
+          - |-
+            mllib-local, mllib
+          - |-
+            pyspark-sql, pyspark-mllib, pyspark-resource
+          - |-
+            pyspark-core, pyspark-streaming, pyspark-ml
+          - |-
+            sparkr
+          - |-
+            yarn, mesos, kubernetes, hadoop-cloud,
+            spark-ganglia-lgpl
+        # Here, we split Hive tests into some of heavy ones and the rest of them.
+        included-tags: [""]
+        excluded-tags: [""]
+        comment: ["- running all tests"]
+        include:
+          - modules: hive
+            java: 1.8
+            hadoop: hadoop3.2
+            hive: hive2.3
+            included-tags: org.apache.spark.tags.HeavyHiveTest
+            comment: "- running heavy tests"
+          - modules: hive
+            java: 1.8
+            hadoop: hadoop3.2
+            hive: hive2.3
+            excluded-tags: org.apache.spark.tags.HeavyHiveTest
+            comment: "- running non-heavy tests"
+    env:
+      TEST_ONLY_MODULES: ${{ matrix.modules }}
+      HADOOP_PROFILE: ${{ matrix.hadoop }}
+      HIVE_PROFILE: ${{ matrix.hive }}
+      # Github Actions' default miniconda
+      CONDA_PREFIX: /usr/share/miniconda
+      # Don't run the tests in parallel due to flakiness. See SparkParallelTestGrouping.
+      SERIAL_SBT_TESTS: 1
+      TEST_ONLY_EXCLUDED_TAGS: ${{ matrix.excluded-tags }}
+      TEST_ONLY_INCLUDED_TAGS: ${{ matrix.included-tags }}
     steps:
-    - uses: actions/checkout@master
-    # We split caches because GitHub Action Cache has a 400MB-size limit.
-    - uses: actions/cache@v1
+    - name: Checkout Spark repository
+      uses: actions/checkout@v2
+    # Cache local repositories. Note that Github Actions cache has a 2G limit.
+    - name: Cache Scala, SBT, Maven and Zinc
+      uses: actions/cache@v1
       with:
         path: build
         key: build-${{ hashFiles('**/pom.xml') }}
         restore-keys: |
           build-
-    - uses: actions/cache@v1
-      with:
-        path: ~/.m2/repository/com
-        key: ${{ matrix.java }}-${{ matrix.hadoop }}-maven-com-${{ hashFiles('**/pom.xml') }}
-        restore-keys: |
-          ${{ matrix.java }}-${{ matrix.hadoop }}-maven-com-
-    - uses: actions/cache@v1
+    - name: Cache Maven local repository
+      uses: actions/cache@v2
       with:
-        path: ~/.m2/repository/org
-        key: ${{ matrix.java }}-${{ matrix.hadoop }}-maven-org-${{ hashFiles('**/pom.xml') }}
-        restore-keys: |
-          ${{ matrix.java }}-${{ matrix.hadoop }}-maven-org-
-    - uses: actions/cache@v1
-      with:
-        path: ~/.m2/repository/net
-        key: ${{ matrix.java }}-${{ matrix.hadoop }}-maven-net-${{ hashFiles('**/pom.xml') }}
+        path: ~/.m2/repository
+        key: ${{ matrix.java }}-${{ matrix.hadoop }}-maven-${{ hashFiles('**/pom.xml') }}
         restore-keys: |
-          ${{ matrix.java }}-${{ matrix.hadoop }}-maven-net-
-    - uses: actions/cache@v1
+          ${{ matrix.java }}-${{ matrix.hadoop }}-maven-
+    - name: Cache Ivy local repository
+      uses: actions/cache@v2
       with:
-        path: ~/.m2/repository/io
-        key: ${{ matrix.java }}-${{ matrix.hadoop }}-maven-io-${{ hashFiles('**/pom.xml') }}
+        path: ~/.ivy2/cache
+        key: ${{ matrix.java }}-${{ matrix.hadoop }}-ivy-${{ hashFiles('**/pom.xml') }}-${{ hashFiles('**/plugins.sbt') }}
         restore-keys: |
-          ${{ matrix.java }}-${{ matrix.hadoop }}-maven-io-
-    - name: Set up JDK ${{ matrix.java }}
+          ${{ matrix.java }}-${{ matrix.hadoop }}-ivy-
+    - name: Install JDK ${{ matrix.java }}
       uses: actions/setup-java@v1
       with:
         java-version: ${{ matrix.java }}
-    - name: Build with Maven
+    # PySpark
+    - name: Install PyPy3
+      # SQL component also has Python related tests, for example, IntegratedUDFTestUtils.
+      # Note that order here matters because default python3 is overridden by pypy3.
+      uses: actions/setup-python@v2
+      if: contains(matrix.modules, 'pyspark') || matrix.modules == 'sql'
+      with:
+        python-version: pypy3
+        architecture: x64
+    - name: Install Python 2.7
+      uses: actions/setup-python@v2
+      if: contains(matrix.modules, 'pyspark') || matrix.modules == 'sql'
+      with:
+        python-version: 2.7
+        architecture: x64
+    - name: Install Python 3.6
+      uses: actions/setup-python@v2
+      if: contains(matrix.modules, 'pyspark') || matrix.modules == 'sql'
+      with:
+        python-version: 3.6
+        architecture: x64
+    - name: Install Python packages
+      if: contains(matrix.modules, 'pyspark') || matrix.modules == 'sql'
+      # PyArrow is not supported in PyPy yet, see ARROW-2651.
+      # scipy installation with PyPy fails for an unknown reason.
+      run: |
+        python3 -m pip install numpy pyarrow pandas scipy
+        python3 -m pip list
+        python2 -m pip install numpy pyarrow pandas scipy
+        python2 -m pip list
+        # Installing NumPy is flaky in PyPy.
+        pypy3 -m pip install numpy pandas
+        pypy3 -m pip list
+    # SparkR
+    - name: Install R 3.6
+      uses: r-lib/actions/setup-r@v1
+      if: contains(matrix.modules, 'sparkr')
+      with:
+        r-version: 3.6
+    - name: Install R packages
+      if: contains(matrix.modules, 'sparkr')
+      run: |
+        sudo apt-get install -y libcurl4-openssl-dev
+        sudo Rscript -e "install.packages(c('knitr', 'rmarkdown', 'testthat', 'devtools', 'e1071', 'survival', 'arrow', 'roxygen2'), repos='https://cloud.r-project.org/')"
+        # Show installed packages in R.
+        sudo Rscript -e 'pkg_list <- as.data.frame(installed.packages()[, c(1,3:4)]); pkg_list[is.na(pkg_list$Priority), 1:2, drop = FALSE]'
+    # Run the tests.
+    - name: "Run tests: ${{ matrix.modules }}"
       run: |
-        export MAVEN_OPTS="-Xmx2g -XX:ReservedCodeCacheSize=1g -Dorg.slf4j.simpleLogger.defaultLogLevel=WARN"
-        export MAVEN_CLI_OPTS="--no-transfer-progress"
         mkdir -p ~/.m2
-        ./build/mvn $MAVEN_CLI_OPTS -DskipTests -Pyarn -Pmesos -Pkubernetes -Phive -P${{ matrix.hive }} -Phive-thriftserver -P${{ matrix.hadoop }} -Phadoop-cloud -Djava.version=${{ matrix.java }} install
+        ./dev/run-tests --parallelism 2
         rm -rf ~/.m2/repository/org/apache/spark
 
-
+  # Linters: run the linters and other static analysis.
   lint:
+    name: Linters, licenses, dependencies
     runs-on: ubuntu-latest
-    name: Linters (Java/Scala/Python), licenses, dependencies
     steps:
     - uses: actions/checkout@master
-    - uses: actions/setup-java@v1
+    - name: Install JDK 11
+      uses: actions/setup-java@v1
       with:
-        java-version: '11'
-    - uses: actions/setup-python@v1
+        java-version: 11
+    - name: Install Python 3.6
+      uses: actions/setup-python@v2
       with:
-        python-version: '3.x'
-        architecture: 'x64'
-    - name: Scala
-      run: ./dev/lint-scala
-    - name: Java
-      run: ./dev/lint-java
-    - name: Python
+        python-version: 3.6
+        architecture: x64
+    - name: Install Python linter dependencies
       run: |
-        pip install flake8 sphinx numpy
-        ./dev/lint-python
-    - name: License
-      run: ./dev/check-license
-    - name: Dependencies
-      run: ./dev/test-dependencies.sh
-
-  lintr:
-    runs-on: ubuntu-latest
-    name: Linter (R)
-    steps:
-    - uses: actions/checkout@master
-    - uses: actions/setup-java@v1
+        pip3 install flake8 sphinx numpy
+    - name: Install R 3.6
+      uses: r-lib/actions/setup-r@v1
       with:
-        java-version: '11'
-    - uses: r-lib/actions/setup-r@v1
-      with:
-        r-version: '3.6.2'
-    - name: Install lib
+        r-version: 3.6
+    - name: Install R linter dependencies and SparkR
       run: |
         sudo apt-get install -y libcurl4-openssl-dev
-    - name: install R packages
-      run: |
-        sudo Rscript -e "install.packages(c('curl', 'xml2', 'httr', 'devtools', 'testthat', 'knitr', 'rmarkdown', 'roxygen2', 'e1071', 'survival'), repos='https://cloud.r-project.org/')"
+        sudo Rscript -e "install.packages(c('devtools'), repos='https://cloud.r-project.org/')"
         sudo Rscript -e "devtools::install_github('jimhester/lintr@v2.0.0')"
-    - name: package and install SparkR
-      run: ./R/install-dev.sh
-    - name: lint-r
+        ./R/install-dev.sh
+    - name: Scala linter
+      run: ./dev/lint-scala
+    - name: Java linter
+      run: ./dev/lint-java
+    - name: Python linter
+      run: ./dev/lint-python
+    - name: R linter
       run: ./dev/lint-r
+    - name: License test
+      run: ./dev/check-license
+    - name: Dependencies test
+      run: ./dev/test-dependencies.sh
 
+  # Documentation build.
   docs:
+    name: Build documentation
     runs-on: ubuntu-latest
-    name: Generate documents
     steps:
     - uses: actions/checkout@master
-    - uses: actions/cache@v1
+    - name: Cache Maven local repository
+      uses: actions/cache@v2
       with:
         path: ~/.m2/repository
         key: docs-maven-repo-${{ hashFiles('**/pom.xml') }}
         restore-keys: |
-          docs-maven-repo-
-    - uses: actions/setup-java@v1
+          docs-maven-
+    - name: Install JDK 1.8
+      uses: actions/setup-java@v1
       with:
-        java-version: '1.8'
-    - uses: actions/setup-python@v1
+        java-version: 1.8
+    - name: Install Python 3.6
+      uses: actions/setup-python@v2
       with:
-        python-version: '3.x'
-        architecture: 'x64'
-    - uses: actions/setup-ruby@v1
+        python-version: 3.6
+        architecture: x64
+    - name: Install Ruby 2.7
+      uses: actions/setup-ruby@v1
       with:
-        ruby-version: '2.7'
-    - uses: r-lib/actions/setup-r@v1
+        ruby-version: 2.7
+    - name: Install R 3.6
+      uses: r-lib/actions/setup-r@v1
       with:
-        r-version: '3.6.2'
-    - name: Install lib and pandoc
+        r-version: 3.6
+    - name: Install dependencies
       run: |
         sudo apt-get install -y libcurl4-openssl-dev pandoc
-    - name: Install packages
-      run: |
         pip install sphinx mkdocs numpy
         gem install jekyll jekyll-redirect-from rouge
-        sudo Rscript -e "install.packages(c('curl', 'xml2', 'httr', 'devtools', 'testthat', 'knitr', 'rmarkdown', 'roxygen2', 'e1071', 'survival'), repos='https://cloud.r-project.org/')"
-    - name: Run jekyll build
+        sudo Rscript -e "install.packages(c('devtools', 'testthat', 'knitr', 'rmarkdown', 'roxygen2'), repos='https://cloud.r-project.org/')"
+    - name: Run documentation build
       run: |
         cd docs
         jekyll build

common/tags/src/test/java/org/apache/spark/tags/HeavyHiveTest.java

@@ -0,0 +1,30 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.tags;
+
+import org.scalatest.TagAnnotation;
+
+import java.lang.annotation.ElementType;
+import java.lang.annotation.Retention;
+import java.lang.annotation.RetentionPolicy;
+import java.lang.annotation.Target;
+
+@TagAnnotation
+@Retention(RetentionPolicy.RUNTIME)
+@Target({ElementType.METHOD, ElementType.TYPE})
+public @interface HeavyHiveTest { }

core/src/test/scala/org/apache/spark/deploy/master/MasterSuite.scala

@@ -685,7 +685,7 @@ class MasterSuite extends SparkFunSuite
     }
   }
 
-  test("SPARK-27510: Master should avoid dead loop while launching executor failed in Worker") {
+  ignore("SPARK-27510: Master should avoid dead loop while launching executor failed in Worker") {
     val master = makeAliveMaster()
     var worker: MockExecutorLaunchFailWorker = null
     try {

dev/run-pip-tests

@@ -76,8 +76,12 @@ for python in "${PYTHON_EXECS[@]}"; do
     VIRTUALENV_PATH="$VIRTUALENV_BASE"/$python
     rm -rf "$VIRTUALENV_PATH"
     if [ -n "$USE_CONDA" ]; then
+      if [ -f "$CONDA_PREFIX/etc/profile.d/conda.sh" ]; then
+        # See also https://github.com/conda/conda/issues/7980
+        source $CONDA_PREFIX/etc/profile.d/conda.sh
+      fi
       conda create -y -p "$VIRTUALENV_PATH" python=$python numpy pandas pip setuptools
-      source activate "$VIRTUALENV_PATH"
+      conda activate "$VIRTUALENV_PATH"
     else
       mkdir -p "$VIRTUALENV_PATH"
       virtualenv --python=$python "$VIRTUALENV_PATH"
@@ -120,7 +124,7 @@ for python in "${PYTHON_EXECS[@]}"; do
 
     # conda / virtualenv environments need to be deactivated differently
     if [ -n "$USE_CONDA" ]; then
-      source deactivate
+      conda deactivate
     else
       deactivate
     fi