Build / SparkR-only (master, 4.4.1, windows-2022) #72
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # | |
| # 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, 4.4.1, windows-2022)" | |
| on: | |
| schedule: | |
| - cron: '0 17 * * *' | |
| 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-${{ hashFiles('**/pom.xml') }} | |
| restore-keys: | | |
| build-sparkr-windows-maven- | |
| - name: Install Java 17 | |
| uses: actions/setup-java@v4 | |
| with: | |
| distribution: zulu | |
| java-version: 17 | |
| - name: Install R 4.4.1 | |
| uses: r-lib/actions/setup-r@v2 | |
| with: | |
| r-version: 4.4.1 | |
| - name: Install R dependencies | |
| run: | | |
| Rscript -e "install.packages(c('knitr', 'rmarkdown', 'testthat', 'e1071', 'survival', 'arrow', 'xml2'), repos='https://cloud.r-project.org/')" | |
| Rscript -e "pkg_list <- as.data.frame(installed.packages()[,c(1, 3:4)]); pkg_list[is.na(pkg_list$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 |