Build / SparkR-only (master, 4.4.2, windows-2022) #318
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| # | |
| # 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. | |
| # | |
| name: "Build / SparkR-only (master, 4.4.2, windows-2022)" | |
| on: | |
| schedule: | |
| - cron: '0 17 * * *' | |
| workflow_dispatch: | |
| jobs: | |
| build: | |
| name: "Build module: sparkr" | |
| runs-on: windows-2022 | |
| timeout-minutes: 300 | |
| if: github.repository == 'apache/spark' | |
| steps: | |
| - name: Download winutils Hadoop binary | |
| uses: actions/checkout@v4 | |
| with: | |
| repository: cdarlint/winutils | |
| - name: Move Hadoop winutil into home directory | |
| run: | | |
| Move-Item -Path hadoop-3.3.6 -Destination ~\ | |
| - name: Checkout Spark repository | |
| uses: actions/checkout@v4 | |
| - name: Cache Maven local repository | |
| uses: actions/cache@v4 | |
| with: | |
| path: ~/.m2/repository | |
| key: build-sparkr-windows-maven-${{ hashFiles('**/pom.xml') }} | |
| restore-keys: | | |
| build-sparkr-windows-maven- | |
| - name: Install Java 17 | |
| uses: actions/setup-java@v4 | |
| with: | |
| distribution: zulu | |
| java-version: 17 | |
| - name: Install R 4.4.2 | |
| uses: r-lib/actions/setup-r@v2 | |
| with: | |
| r-version: 4.4.2 | |
| - name: Install R dependencies | |
| run: | | |
| Rscript -e "install.packages(c('knitr', 'rmarkdown', 'testthat', 'e1071', 'survival', 'arrow', 'xml2'), repos='https://cloud.r-project.org/')" | |
| Rscript -e "pkg_list <- as.data.frame(installed.packages()[,c(1, 3:4)]); pkg_list[is.na(pkg_list$Priority), 1:2, drop = FALSE]" | |
| shell: cmd | |
| # SparkR build does not need Python. However, it shows warnings when the Python version is too low during | |
| # the attempt to look up Python Data Sources for session initialization. The Windows 2019 runner | |
| # includes Python 3.7, which Spark does not support. Therefore, we simply install the proper Python | |
| # for simplicity, see SPARK-47116. | |
| - name: Install Python 3.11 | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: '3.11' | |
| architecture: x64 | |
| - name: Build Spark | |
| run: | | |
| rem 1. '-Djna.nosys=true' is required to avoid kernel32.dll load failure. | |
| rem See SPARK-28759. | |
| rem 2. Ideally we should check the tests related to Hive in SparkR as well (SPARK-31745). | |
| rem 3. setup-java installs Maven 3.8.7 but does not allow changing its version, so overwrite | |
| rem Maven version as a workaround. | |
| mvn -DskipTests -Psparkr -Djna.nosys=true package -Dmaven.version=3.8.7 | |
| shell: cmd | |
| - name: Run SparkR tests | |
| run: | | |
| set HADOOP_HOME=%USERPROFILE%\hadoop-3.3.6 | |
| set PATH=%HADOOP_HOME%\bin;%PATH% | |
| .\bin\spark-submit2.cmd --driver-java-options "-Dlog4j.configurationFile=file:///%CD:\=/%/R/log4j2.properties" --conf spark.hadoop.fs.defaultFS="file:///" R\pkg\tests\run-all.R | |
| shell: cmd | |
| env: | |
| NOT_CRAN: true | |
| SPARKR_SUPPRESS_DEPRECATION_WARNING: 1 | |
| # See SPARK-27848. Currently installing some dependent packages causes | |
| # "(converted from warning) unable to identify current timezone 'C':" for an unknown reason. | |
| # This environment variable works around to test SparkR against a higher version. | |
| R_REMOTES_NO_ERRORS_FROM_WARNINGS: true |