[ 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org