[ https://issues.apache.org/jira/browse/SPARK-16033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai resolved SPARK-16033. ------------------------------ Resolution: Fixed Fix Version/s: 2.0.0 Issue resolved by pull request 13747 [https://github.com/apache/spark/pull/13747] > DataFrameWriter.partitionBy() can't be used together with > DataFrameWriter.insertInto() > -------------------------------------------------------------------------------------- > > Key: SPARK-16033 > URL: https://issues.apache.org/jira/browse/SPARK-16033 > Project: Spark > Issue Type: Sub-task > Components: SQL > Affects Versions: 2.0.0 > Reporter: Cheng Lian > Assignee: Cheng Lian > Fix For: 2.0.0 > > > When inserting into an existing partitioned table, partitioning columns > should always be determined by catalog metadata of the existing table to be > inserted. Extra {{partitionBy()}} calls don't make sense, and mess up > existing data because newly inserted data may have wrong partitioning > directory layout. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org