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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2023/01/24 18:50:00 UTC
[jira] [Assigned] (SPARK-42162) Memory usage on executors increased drastically for a complex query with large number of addition operations
[ https://issues.apache.org/jira/browse/SPARK-42162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-42162:
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Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> Priority: Major
>
> 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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