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