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

Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2024/08/23 22:44:00 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-49352?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun reassigned SPARK-49352:
-------------------------------------

    Assignee: L. C. Hsieh

> Avoid redundant array transform for identical expression
> --------------------------------------------------------
>
>                 Key: SPARK-49352
>                 URL: https://issues.apache.org/jira/browse/SPARK-49352
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 4.0.0
>            Reporter: L. C. Hsieh
>            Assignee: L. C. Hsieh
>            Priority: Major
>              Labels: pull-request-available
>
> 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.



--
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