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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/18 00:41:05 UTC

[jira] [Assigned] (SPARK-16033) DataFrameWriter.partitionBy() can't be used together with DataFrameWriter.insertInto()

     [ https://issues.apache.org/jira/browse/SPARK-16033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16033:
------------------------------------

    Assignee: Apache Spark  (was: Cheng Lian)

> 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: Apache Spark
>
> 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.



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