[ 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)