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Posted to issues@flink.apache.org by "Dian Fu (Jira)" <ji...@apache.org> on 2021/01/25 06:28:00 UTC

[jira] [Updated] (FLINK-21111) FLIP-153: Support state access in Python DataStream API

     [ https://issues.apache.org/jira/browse/FLINK-21111?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dian Fu updated FLINK-21111:
----------------------------
    Summary: FLIP-153: Support state access in Python DataStream API  (was: Support state access in Python DataStream API)

> FLIP-153: Support state access in Python DataStream API
> -------------------------------------------------------
>
>                 Key: FLINK-21111
>                 URL: https://issues.apache.org/jira/browse/FLINK-21111
>             Project: Flink
>          Issue Type: Improvement
>          Components: API / Python
>            Reporter: Shuiqiang Chen
>            Priority: Major
>             Fix For: 1.13.0
>
>
> This is the umbrella Jira for FLIP-153, which intends to support state access in Python DataSteam API.
> FLIP wiki page: https://cwiki.apache.org/confluence/display/FLINK/FLIP-153%3A+Support+state+access+in+Python+DataStream+API
> In FLIP-130, we have already supported Python DataStream stateless API so that users are able to perform some basic data transformations. To implement more complex data processing, we need to provide state access support. In this doc, I would propose to add support of state access for Python DataStream API to support stateful operations on a KeyedStream.



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