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Apache Spark commented on SPARK-16033: -------------------------------------- User 'liancheng' has created a pull request for this issue: 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 > > 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