[jira] [Commented] (SPARK-39995) PySpark installation doesn't support Scala 2.13 binaries

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-39995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17653753#comment-17653753 ] 

Hyukjin Kwon commented on SPARK-39995:
--------------------------------------

I think i will be able to pick this up before Spark 3.4.

> 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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