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From "Ben Marini (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-12103) Extend builtin operator metrics with user defined scope and variables
Date Wed, 03 Apr 2019 16:56:00 GMT
Ben Marini created FLINK-12103:
----------------------------------

             Summary: Extend builtin operator metrics with user defined scope and variables
                 Key: FLINK-12103
                 URL: https://issues.apache.org/jira/browse/FLINK-12103
             Project: Flink
          Issue Type: Wish
          Components: Runtime / Metrics
    Affects Versions: 1.7.2
            Reporter: Ben Marini


I'm looking for a way to extend the builtin throughput and latency metrics for operators with
my own metric variables.

My specific use case:

I have a job that defines a list of independent source -> sink streams. I would like to add my
own metric variables to each of these independent streams. For example, something like this:

{code:scala}
class MyFilter extends RichFilterFunction {
  override def open(parameters: Configuration): Unit = {
    val mg = getRuntimeContext.getMetricGroup // Includes "streamName" -> "A|B"

    // Init some user defined metrics here...
  }
}

// Stream A
// Native operator metrics and user defined metrics in rich operators include "streamName"
-> "A"
streamA = env.withMetricGroup((mg) => mg.addGroup("streamName", "A").addSource(...).filter(new
MyFilter).addSink(...)

// Stream B
// Native operator metrics and user defined metrics in rich operators include "streamName"
-> "B"

streamB = env.withMetricGroup((mg) => mg.addGroup("streamName", "B").addSource(...).filter(new
MyFilter).addSink(...)
{code}
 
Is this possible? Would a new hook into StreamTransformation have to be added?




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