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https://issues.apache.org/jira/browse/SPARK-24860?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li resolved SPARK-24860.
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Resolution: Fixed
Assignee: Koert Kuipers
Fix Version/s: 2.4.0
> Expose dynamic partition overwrite per write operation
> ------------------------------------------------------
>
> Key: SPARK-24860
> URL: https://issues.apache.org/jira/browse/SPARK-24860
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: koert kuipers
> Assignee: Koert Kuipers
> Priority: Minor
> Fix For: 2.4.0
>
>
> This is a follow up to issue SPARK-20236
> Also see the discussion in pullreq https://github.com/apache/spark/pull/18714
> SPARK-20236 added a global setting spark.sql.sources.partitionOverwriteMode
> to switch between static and dynamic overwrite of partitioned tables. It
> would be nice if we could choose per partitioned overwrite operation whether
> it's behavior is static or dynamic. The suggested syntax is:
> {noformat}
> df.write.option("partitionOverwriteMode", "dynamic").parquet...{noformat}
>
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