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Posted to dev@flink.apache.org by "Hequn Cheng (Jira)" <ji...@apache.org> on 2020/03/19 06:14:00 UTC

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

Hequn Cheng created FLINK-16670:
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             Summary: 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
             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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