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https://issues.apache.org/jira/browse/BAHIR-192?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16744097#comment-16744097
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ASF GitHub Bot commented on BAHIR-192:
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GitHub user yanlin-Lynn opened a pull request:
https://github.com/apache/bahir/pull/81
[BAHIR-192]add jdbc sink for structured streaming.
As suggested by @felixcheung in [Spark PR
23369](https://github.com/apache/spark/pull/23369), I move the support of jdbc
sink for Structured Streaming into bahir project.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanlin-Lynn/bahir jdbc-sink
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/bahir/pull/81.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #81
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commit ca2dd2a17a536b7517ef0ccd47346661f5ecbb51
Author: wangyanlin01 <wangyanlin01@...>
Date: 2019-01-16T08:40:17Z
add jdbc sink for structured streaming.
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> Add jdbc sink support for Structured Streaming
> ----------------------------------------------
>
> Key: BAHIR-192
> URL: https://issues.apache.org/jira/browse/BAHIR-192
> Project: Bahir
> Issue Type: New Feature
> Components: Spark Structured Streaming Connectors
> Reporter: Wang Yanlin
> 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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