[jira] [Resolved] (SPARK-42162) Memory usage on executors increased drastically for a complex query with large number of addition operations

["Wenchen Fan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-42162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-42162.
---------------------------------
    Fix Version/s: 3.4.0
       Resolution: Fixed

Issue resolved by pull request 39722
[https://github.com/apache/spark/pull/39722]

> Memory usage on executors increased drastically for a complex query with large number of addition operations
> ------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-42162
>                 URL: https://issues.apache.org/jira/browse/SPARK-42162
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: Supun Nakandala
>            Priority: Major
>             Fix For: 3.4.0
>
>
> With the [recent changes|https://github.com/apache/spark/pull/37851]  in the expression canonicalization, a complex query with a large number of Add operations ends up consuming 10x more memory on the executors.
> The reason for this issue is that with the new changes the canonicalization process ends up generating lot of intermediate objects, especially for complex queries with a large number of commutative operators. In this specific case, a heap histogram analysis shows that a large number of Add objects use the extra memory.
> This issue does not happen before PR [#37851.|https://github.com/apache/spark/pull/37851]
> The high memory usage causes the executors to lose heartbeat signals and results in task failures.



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