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https://issues.apache.org/jira/browse/SPARK-36559?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-36559.
----------------------------------
    Fix Version/s: 3.2.0
       Resolution: Fixed

Issue resolved by pull request 33807
[https://github.com/apache/spark/pull/33807]

> 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
>            Assignee: Hyukjin Kwon
>            Priority: Major
>             Fix For: 3.2.0
>
>
> 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.



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