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https://issues.apache.org/jira/browse/SPARK-39995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17600297#comment-17600297
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Oleksandr Shevchenko commented on SPARK-39995:
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It definitely matters. It impacts the dependencies/packages we can use (e.g.
DataSourceV2 API implementation for read and write). It impacts DX (Developer
Experience) and installation including CD process for our code.
> PySpark installation doesn't support Scala 2.13 binaries
> --------------------------------------------------------
>
> Key: SPARK-39995
> URL: https://issues.apache.org/jira/browse/SPARK-39995
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Oleksandr Shevchenko
> Priority: Major
>
> [PyPi|https://pypi.org/project/pyspark/] doesn't support Spark binary
> [installation|https://spark.apache.org/docs/latest/api/python/getting_started/install.html#using-pypi]
> for Scala 2.13.
> Currently, the setup
> [script|https://github.com/apache/spark/blob/master/python/pyspark/install.py]
> allows to set versions of Spark, Hadoop (PYSPARK_HADOOP_VERSION), and mirror
> (PYSPARK_RELEASE_MIRROR) to download needed Spark binaries, but it's always
> Scala 2.12 compatible binaries. There isn't any parameter to download
> "spark-3.3.0-bin-hadoop3-scala2.13.tgz".
> It's possible to download Spark manually and set the needed SPARK_HOME, but
> it's hard to use with pip or Poetry.
> Also, env vars (e.g. PYSPARK_HADOOP_VERSION) are easy to use with pip and CLI
> but not possible with package managers like Poetry.
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