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Posted to issues@spark.apache.org by "Chandramouli Viswanathan (Jira)" <ji...@apache.org> on 2022/04/10 07:57:00 UTC
[jira] [Commented] (SPARK-19335) Spark should support doing an efficient DataFrame Upsert via JDBC
[ https://issues.apache.org/jira/browse/SPARK-19335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17520107#comment-17520107 ]
Chandramouli Viswanathan commented on SPARK-19335:
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Hi
Is the issue resolved?
if yes, how can I get the sample implementation guide? to move forward.
Thanks In Advance
> 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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