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https://issues.apache.org/jira/browse/FLINK-40293?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated FLINK-40293:
-----------------------------------
    Labels: pull-request-available  (was: )

> Add UDF metric config options and instrument sync scalar and table UDF calls
> ----------------------------------------------------------------------------
>
>                 Key: FLINK-40293
>                 URL: https://issues.apache.org/jira/browse/FLINK-40293
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table SQL / API, Table SQL / Planner
>            Reporter: Weiqing Yang
>            Priority: Major
>              Labels: pull-request-available
>
> This is the second of four sub-tasks implementing FLIP-485.
> FLIP: 
> https://cwiki.apache.org/confluence/spaces/FLINK/pages/373885706/FLIP-485+Add+UDF+Metrics
> Vote thread: https://lists.apache.org/thread/symqpswsohl2s5wmtkcw0jjp1w5dot0n
> Add the two configuration options and the first end-to-end slice of the 
> feature: synchronous scalar and table UDF calls instrumented at code 
> generation.
> Configuration, both {{@PublicEvolving}} additions to ExecutionConfigOptions:
> * {{table.exec.udf-metric-enabled}}, default false, enables the feature.
> * {{table.exec.udf-metric.sample-interval}}, default 100, measures every Nth 
> invocation.
> Instrumentation:
> * Wrap the generated {{eval}} call site for synchronous scalar and table UDFs 
> in BridgingFunctionGenUtil with sampled timing and exception counting via the 
> UdfMetrics helper.
> * Cache one handle per (operator, udf name) in CodeGeneratorContext, so 
> repeated call sites of the same function within one operator share a handle. 
> Without sharing, the second registration is dropped and only one call site's 
> timings survive.
> * Meter only user functions on the modern BridgingSqlFunction stack, through 
> an opt-in name passed from BridgingSqlFunctionCallGen. Lookup-join, 
> ML-predict, vector-search, legacy CallGens, and PROCESS_TABLE functions are 
> not metered.
> The instrumentation is emitted at code generation only when the feature is 
> enabled, so the generated operator is byte-identical to today when it is 
> disabled. When enabled, the non-sampled path costs a single integer 
> increment. Exceptions are counted on every invocation and are not sampled.
> Covered by a new UdfMetricsITCase using InMemoryReporter: sync scalar and 
> table functions, metric naming and scope, exception counting, the 
> enabled/disabled gate, a lookup join not being metered, handle sharing across 
> repeated call sites versus separate handles for distinct functions, and 
> udfProcessingTime reflecting a real induced delay.



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