[jira] [Closed] (FLINK-16670) Support User-Defined Metrics in Python UDF

["Hequn Cheng (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-16670?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hequn Cheng closed FLINK-16670.
-------------------------------
    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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