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Posted to issues@flink.apache.org by "Huang Xingbo (Jira)" <ji...@apache.org> on 2022/01/20 09:04:00 UTC
[jira] [Created] (FLINK-25718) FLIP-206: Support PyFlink Runtime Execution in Thread Mode
Huang Xingbo created FLINK-25718:
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Summary: 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
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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