[ https://issues.apache.org/jira/browse/SPARK-38891?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chao Sun resolved SPARK-38891. ------------------------------ Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 36202 [https://github.com/apache/spark/pull/36202] > Skipping allocating vector for repetition & definition levels when possible > --------------------------------------------------------------------------- > > Key: SPARK-38891 > URL: https://issues.apache.org/jira/browse/SPARK-38891 > Project: Spark > Issue Type: Sub-task > Components: SQL > Affects Versions: 3.3.0 > Reporter: Chao Sun > Assignee: Chao Sun > Priority: Major > Fix For: 3.4.0 > > > Currently the vectorized Parquet reader will allocate vectors for repetition > and definition levels in all cases. However in certain cases (e.g., when > reading primitive types) this is not necessary and should be avoided. -- This message was sent by Atlassian Jira (v8.20.7#820007) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org