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

["Nick Dimiduk (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-27599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nick Dimiduk updated SPARK-27599:
---------------------------------
    Summary: DataFrameWriter.partitionBy should be optional when writing to a hive table  (was: DataFrameWriter$partitionBy should be optional when writing to a hive table)

> 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
>            Priority: Minor
>
> 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...



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