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https://issues.apache.org/jira/browse/SPARK-19335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17204565#comment-17204565
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Simone commented on SPARK-19335:
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+1 it is really strange that Delta Lake offer this capability on parquet files
and spark is not able to offer the same capability on an RDBMS. The success of
delta lake clearly shows the need of UPSERT capabilities in spark.
> Spark should support doing an efficient DataFrame Upsert via JDBC
> -----------------------------------------------------------------
>
> Key: SPARK-19335
> URL: https://issues.apache.org/jira/browse/SPARK-19335
> Project: Spark
> Issue Type: Improvement
> Reporter: Ilya Ganelin
> Priority: Minor
>
> Doing a database update, as opposed to an insert is useful, particularly when
> working with streaming applications which may require revisions to previously
> stored data.
> Spark DataFrames/DataSets do not currently support an Update feature via the
> JDBC Writer allowing only Overwrite or Append.
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