[ https://issues.apache.org/jira/browse/SPARK-42162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17680316#comment-17680316 ]
Apache Spark commented on SPARK-42162: -------------------------------------- User 'db-scnakandala' has created a pull request for this issue: 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 > > 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. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org