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https://issues.apache.org/jira/browse/FLINK-22605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-22605:
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Labels: auto-deprioritized-major (was: stale-major)
Priority: Minor (was: Major)
This issue was labeled "stale-major" 7 days ago and has not received any
updates so it is being deprioritized. If this ticket is actually Major, please
raise the priority and ask a committer to assign you the issue or revive the
public discussion.
> 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: 1.14.0
>
>
> 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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