You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/03/18 02:48:00 UTC

[jira] [Assigned] (SPARK-38563) Upgrade to Py4J 0.10.9.5

     [ https://issues.apache.org/jira/browse/SPARK-38563?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-38563:
------------------------------------

    Assignee: Hyukjin Kwon  (was: Apache Spark)

> Upgrade to Py4J 0.10.9.5
> ------------------------
>
>                 Key: SPARK-38563
>                 URL: https://issues.apache.org/jira/browse/SPARK-38563
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 3.2.1, 3.3.0
>            Reporter: Hyukjin Kwon
>            Assignee: Hyukjin Kwon
>            Priority: Critical
>
> There is a resource leak bug, see https://github.com/py4j/py4j/pull/471. We should upgrade Py4J to 0.10.9.4 to fix this



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org