[
https://issues.apache.org/jira/browse/SPARK-19335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16592126#comment-16592126
]
kevin yu commented on SPARK-19335:
----------------------------------
[~drew222]: I am still working on it, right now, I am waiting for the data
source v2 to be finished. Thanks.
Kevin
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
