This action sets up Apache Spark in your environment for use in GitHub Actions by:

• installing and adding spark-submit and spark-shell to the PATH
• setting required environment variables such as SPARK_HOME, PYSPARK_PYTHON in the workflow

This enables to test applications using a local Spark context in GitHub Actions.

You will need to setup Python and Java in the job before setting up Spark

Check for the latest Spark versions at https://spark.apache.org/downloads.html

Basic workflow:

steps:
- uses: actions/setup-python@v5
  with:
    python-version: '3.10'

- uses: actions/setup-java@v4
  with:
    java-version: '21'
    distribution: temurin

- uses: vemonet/setup-spark@v1
  with:
    spark-version: '3.5.3'
    hadoop-version: '3'

- run: spark-submit --version

See the action.yml file for a complete rundown of the available parameters.

You can also define various options, such as providing a specific URL to download the Spark .tgz, or using a specific scala version:

- uses: vemonet/setup-spark@v1
  with:
    spark-version: '3.5.3'
    hadoop-version: '3'
    scala-version: '2.13'
    spark-url: 'https://archive.apache.org/dist/spark/spark-3.5.3/spark-3.5.3-bin-hadoop3-scala2.13.tgz'
    xms: '1024M'
    xmx: '2048M'
    log-level: 'debug'
    install-folder: '/home/runner/work'

Check for the latest Spark versions at https://spark.apache.org/downloads.html

The Hadoop version stays quite stable.

The setup-spark action is tested for various versions of Spark and Hadoop in .github/workflows/test.yml

Contributions are welcome! Feel free to test other Spark versions, and submit issues, or pull requests.

See the contributor's guide for more details.