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Posted to issues@spark.apache.org by "Ayan Dutta (JIRA)" <ji...@apache.org> on 2019/08/10 08:38:00 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=16904373#comment-16904373 ]
Ayan Dutta commented on SPARK-19335:
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+1 This feature would be really useful
> 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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