You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Nick Dimiduk (JIRA)" <ji...@apache.org> on 2019/04/29 20:54:00 UTC

[jira] [Created] (SPARK-27599) DataFrameWriter$partitionBy should be optional when writing to a hive table

Nick Dimiduk created SPARK-27599:
------------------------------------

             Summary: DataFrameWriter$partitionBy should be optional when writing to a hive table
                 Key: SPARK-27599
                 URL: https://issues.apache.org/jira/browse/SPARK-27599
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.4.1
            Reporter: Nick Dimiduk


When writing to an existing, partitioned table stored in the Hive metastore, Spark requires the call to {{saveAsTable}} to provide a value for {{partitionedBy}}, even though that information is provided by the metastore itself. Indeed, that information is available to Spark, as it will error if the specified {{partitionBy}} does not match that of the table definition in metastore.

There may be other attributes of the save call that can be retrieved from the metastore...



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org