[
https://issues.apache.org/jira/browse/BAHIR-192?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16808657#comment-16808657
]
ASF GitHub Bot commented on BAHIR-192:
--------------------------------------
yanlin-Lynn commented on issue #81: [BAHIR-192]add jdbc sink for structured
streaming.
URL: https://github.com/apache/bahir/pull/81#issuecomment-479461811
> I am using pyspark 2.3, how can I use jdbc sink with structured streaming?
You can compile the bahir project get the jar file of sql-streaming-jdbc,
then you can use it just the same like other sources and sinks for Structured
Streaming.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
