You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/06/08 11:02:18 UTC

[jira] [Resolved] (SPARK-21020) How to implement custom input source for creating streaming DataFrames?

     [ https://issues.apache.org/jira/browse/SPARK-21020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-21020.
-------------------------------
    Resolution: Invalid

Please use the mailing list

> How to implement custom input source for creating streaming DataFrames?
> -----------------------------------------------------------------------
>
>                 Key: SPARK-21020
>                 URL: https://issues.apache.org/jira/browse/SPARK-21020
>             Project: Spark
>          Issue Type: Brainstorming
>          Components: Structured Streaming
>    Affects Versions: 2.1.1
>            Reporter: Vijay
>            Priority: Minor
>
> Can someone please explain how to implement a custom input source for creating the streaming dataframes.
> Just like custom receiver in DStreams.
> Any references/suggestions are appreciated.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org