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https://issues.apache.org/jira/browse/SPARK-27599?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-27599:
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Affects Version/s: (was: 3.0.0)
3.1.0
> 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: 3.1.0
> 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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