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Posted to issues@spark.apache.org by "Charley Guillaume (Jira)" <ji...@apache.org> on 2022/02/03 11:29:00 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=17486391#comment-17486391 ] 

Charley Guillaume commented on SPARK-19335:
-------------------------------------------

This component would be of great value indeed! 

> 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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