You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Venkata Sai Akhil Gudesa (Jira)" <ji...@apache.org> on 2023/06/22 17:16:00 UTC

[jira] [Created] (SPARK-44146) Isolate Spark Connect session/artifacts

Venkata Sai Akhil Gudesa created SPARK-44146:
------------------------------------------------

             Summary: Isolate Spark Connect session/artifacts
                 Key: SPARK-44146
                 URL: https://issues.apache.org/jira/browse/SPARK-44146
             Project: Spark
          Issue Type: New Feature
          Components: Connect
    Affects Versions: 3.5.0
            Reporter: Venkata Sai Akhil Gudesa


Following up on https://issues.apache.org/jira/browse/SPARK-44078, with the support for classloader isolation implemented, we can now utilise it to isolate Spark Connect sessions from each other. Here, isolation refers to isolation of artifacts from each Spark Connect session which enables us to have multi-user UDFs.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

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