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Posted to issues@spark.apache.org by "Zhen Wang (Jira)" <ji...@apache.org> on 2024/10/11 10:13:00 UTC

[jira] [Commented] (SPARK-49352) Avoid redundant array transform for identical expression

    [ https://issues.apache.org/jira/browse/SPARK-49352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17888589#comment-17888589 ] 

Zhen Wang commented on SPARK-49352:
-----------------------------------

As reported in https://issues.apache.org/jira/browse/SPARK-48922, is there a similar issue for `MapType` as well?

> Avoid redundant array transform for identical expression
> --------------------------------------------------------
>
>                 Key: SPARK-49352
>                 URL: https://issues.apache.org/jira/browse/SPARK-49352
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 4.0.0, 3.3.4, 3.5.2, 3.4.3
>            Reporter: L. C. Hsieh
>            Assignee: L. C. Hsieh
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.0.0, 3.4.4, 3.5.3
>
>
> Our customer encounters significant performance regression when migrating from Spark 3.2 to Spark 3.4 on a `Insert Into` query which is analyzed as a `AppendData` on an Iceberg table.
> We found that the root cause is in Spark 3.4, `TableOutputResolver` resolves the query with additional `ArrayTransform` on an `ArrayType` field. The `ArrayTransform`'s lambda function is actually an identical function, i.e., the transformation is redundant.



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