[jira] [Updated] (FLINK-25718) FLIP-206: Support PyFlink Runtime Execution in Thread Mode

["Martijn Visser (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-25718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Martijn Visser updated FLINK-25718:
-----------------------------------
    Fix Version/s: 1.16.0

> FLIP-206: Support PyFlink Runtime Execution in Thread Mode
> ----------------------------------------------------------
>
>                 Key: FLINK-25718
>                 URL: https://issues.apache.org/jira/browse/FLINK-25718
>             Project: Flink
>          Issue Type: New Feature
>          Components: API / Python
>    Affects Versions: 1.15.0
>            Reporter: Huang Xingbo
>            Assignee: Huang Xingbo
>            Priority: Major
>             Fix For: 1.16.0
>
>
> We have provided PyFlink Runtime framework to support Python user-defined functions since Flink 1.10. The PyFlink Runtime framework is called Process Mode, which depends on an inter-process communication architecture based on the Apache Beam Portability framework. Although starting a dedicated process to execute Python user-defined functions could have better resource isolation, it will bring greater resource and performance overhead.
> In order to overcome the resource and performance problems on Process Mode, we will propose a new execution mode which executes Python user-defined functions in the same thread instead of a separate process.



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