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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/09/23 00:32:00 UTC
[jira] [Resolved] (SPARK-32017) Make Pyspark Hadoop 3.2+ Variant
available in PyPI
[ https://issues.apache.org/jira/browse/SPARK-32017?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-32017.
----------------------------------
Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29703
[https://github.com/apache/spark/pull/29703]
> Make Pyspark Hadoop 3.2+ Variant available in PyPI
> --------------------------------------------------
>
> Key: SPARK-32017
> URL: https://issues.apache.org/jira/browse/SPARK-32017
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.0.0
> Reporter: George Pongracz
> Assignee: Hyukjin Kwon
> Priority: Major
> Fix For: 3.1.0
>
>
> The version of Pyspark 3.0.0 currently available in PyPI currently uses hadoop 2.7.4.
> Could a variant (or the default) have its version of Hadoop aligned to 3.2.0 as per the downloadable spark binaries.
> This would enable the PyPI version to be compatible with session token authorisations and assist in accessing data residing in object stores with stronger encryption methods.
> If not PyPI then as a tar file in the apache download archives at the least please.
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