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Posted to issues@spark.apache.org by "Thomas Graves (JIRA)" <ji...@apache.org> on 2018/07/09 14:53:00 UTC

[jira] [Commented] (SPARK-16534) Kafka 0.10 Python support

    [ https://issues.apache.org/jira/browse/SPARK-16534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16537034#comment-16537034 ] 

Thomas Graves commented on SPARK-16534:
---------------------------------------

If we aren't going to do this we should close this as won't fix with an explanation.

From the pull request From [~rxin]

 

>> So I would like to -1 this patch. I think it's been a mistake to support dstream in Python -- yes it satisfies a checkbox and Spark could claim there's support for streaming in Python. However, the tooling and maturity for working with streaming data (both in Spark and the more broad ecosystem) is simply not there. It is a big baggage to maintain, and creates a the wrong impression that production streaming jobs can be written in Python.

 

> Kafka 0.10 Python support
> -------------------------
>
>                 Key: SPARK-16534
>                 URL: https://issues.apache.org/jira/browse/SPARK-16534
>             Project: Spark
>          Issue Type: Sub-task
>          Components: DStreams
>            Reporter: Tathagata Das
>            Priority: Major
>




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