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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/12/22 02:49:00 UTC
[jira] [Assigned] (SPARK-26429) Add jdbc sink support for
Structured Streaming
[ https://issues.apache.org/jira/browse/SPARK-26429?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-26429:
------------------------------------
Assignee: Apache Spark
> Add jdbc sink support for Structured Streaming
> ----------------------------------------------
>
> Key: SPARK-26429
> URL: https://issues.apache.org/jira/browse/SPARK-26429
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.0.0
> Reporter: Wang Yanlin
> Assignee: Apache Spark
> Priority: Major
>
> Currently, spark sql support read and write to jdbc in batch mode, but do not support for Structured Streaming. During work, even thought we can write to jdbc using foreach sink, but providing a more easier way for writing to jdbc would be helpful.
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