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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