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https://issues.apache.org/jira/browse/SPARK-19335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16834024#comment-16834024
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Darshan commented on SPARK-19335:
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For some row level access related issue, our organisation allows to access kudu
table via impala. We are connecting to kudu via impala jdbc. However, I am
having constraint related to using dataframe to upsert data into kudu table.
This feature will really help. Any updates on this?
> 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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