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Posted to issues@flink.apache.org by "Xintong Song (Jira)" <ji...@apache.org> on 2023/03/23 08:52:18 UTC

[jira] [Updated] (FLINK-22605) Python UDF should only be created once regardless of how many times it is invoked

     [ https://issues.apache.org/jira/browse/FLINK-22605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xintong Song updated FLINK-22605:
---------------------------------
    Fix Version/s: 1.18.0
                       (was: 1.17.0)

> Python UDF should only be created once regardless of how many times it is invoked
> ---------------------------------------------------------------------------------
>
>                 Key: FLINK-22605
>                 URL: https://issues.apache.org/jira/browse/FLINK-22605
>             Project: Flink
>          Issue Type: Improvement
>          Components: API / Python
>            Reporter: Yik San Chan
>            Priority: Minor
>              Labels: auto-deprioritized-major
>             Fix For: 1.18.0
>
>
> Follow up to http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/I-call-Pandas-UDF-N-times-do-I-have-to-initiate-the-UDF-N-times-tt43576.html.
> Currently, when we call Python UDF N times, the Python UDF is constructed N times. This may become a concern to performance, when we want to load large resources in the open() method of the UDF, which is quite common in machine learning use cases.
> I propose we optimize in PyFlink framework level s.t. no matter how many times a UDF is called in the execution environment, it is only initiated once.



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