You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/08/23 06:19:00 UTC

[jira] [Created] (SPARK-36559) Allow column pruning on distributed sequence index (pandas API on Spark)

Hyukjin Kwon created SPARK-36559:
------------------------------------

             Summary: Allow column pruning on distributed sequence index (pandas API on Spark)
                 Key: SPARK-36559
                 URL: https://issues.apache.org/jira/browse/SPARK-36559
             Project: Spark
          Issue Type: Improvement
          Components: PySpark, SQL
    Affects Versions: 3.2.0
            Reporter: Hyukjin Kwon


https://issues.apache.org/jira/browse/SPARK-36338 implemented distributed sequence implementation on JVM side. However, it disables leveraging Spark SQL engine because it creates an RDD directly, and truncate the SQL plans.

We should move the logic into a proper SQL plan to leverage other optimizations such as column pruning.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

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