[ https://issues.apache.org/jira/browse/SPARK-31164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan reassigned SPARK-31164: ----------------------------------- Assignee: Zhenhua Wang > Inconsistent rdd and output partitioning for bucket table when output doesn't > contain all bucket columns > -------------------------------------------------------------------------------------------------------- > > Key: SPARK-31164 > URL: https://issues.apache.org/jira/browse/SPARK-31164 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.2.3, 2.3.4, 2.4.5, 3.0.0 > Reporter: Zhenhua Wang > Assignee: Zhenhua Wang > Priority: Major > Fix For: 3.0.0, 2.4.6 > > > For a bucketed table, when deciding output partitioning, if the output > doesn't contain all bucket columns, the result is `UnknownPartitioning`. But > when generating rdd, current Spark uses `createBucketedReadRDD` because it > doesn't check if the output contains all bucket columns. So the rdd and its > output partitioning are inconsistent. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org