[ 
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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to