[ https://issues.apache.org/jira/browse/SPARK-49352?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-49352: ---------------------------------- Issue Type: Bug (was: Improvement) > Avoid redundant array transform for identical expression > -------------------------------------------------------- > > Key: SPARK-49352 > URL: https://issues.apache.org/jira/browse/SPARK-49352 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 4.0.0 > Reporter: L. C. Hsieh > Assignee: L. C. Hsieh > Priority: Major > Labels: pull-request-available > Fix For: 4.0.0, 3.5.3 > > > 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org