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https://issues.apache.org/jira/browse/FLINK-16670?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hequn Cheng closed FLINK-16670.
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Resolution: Resolved
> Support User-Defined Metrics in Python UDF
> -------------------------------------------
>
> Key: FLINK-16670
> URL: https://issues.apache.org/jira/browse/FLINK-16670
> Project: Flink
> Issue Type: New Feature
> Components: API / Python
> Reporter: Hequn Cheng
> Assignee: Hequn Cheng
> Priority: Major
> Fix For: 1.11.0
>
>
> This is the umbrella Jira for FLIP112, which intends to support User-Defined
> Metrics in Python UDF.
> FLIP wiki page:
> [https://cwiki.apache.org/confluence/display/FLINK/FLIP-112%3A+Support+User-Defined+Metrics+in++Python+UDF]
> FLIP-58 adds the support for Python UDFs, but user-defined metrics have not
> been supported yet. With metrics, users can report and monitor the UDF status
> to get a deeper understanding of the execution. In this FLIP, we want to
> support metrics for Python UDFs. In this FLIP we propose to:
> * Support user-defined metrics including Counters, Gauges, Meters,
> Distributions in Python UDFs. (Note: Histogram is not supported in this FLIP,
> instead, Distributions is supported to report statistics about the
> distribution of value. See more in the Distribution section.)
> * Support defining user scopes.
> * Support defining user variables.
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