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Posted to commits@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/04/13 13:28:00 UTC

[jira] [Work logged] (BEAM-3310) Push metrics to a backend in an runner agnostic way

     [ https://issues.apache.org/jira/browse/BEAM-3310?focusedWorklogId=90809&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-90809 ]

ASF GitHub Bot logged work on BEAM-3310:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 13/Apr/18 13:27
            Start Date: 13/Apr/18 13:27
    Worklog Time Spent: 10m 
      Work Description: echauchot commented on issue #4548: [BEAM-3310] Metrics pusher
URL: https://github.com/apache/beam/pull/4548#issuecomment-381134930
 
 
   @lukecwik @swegner : I finalized a test that I wanted to do: run the metrics pusher in a real cluster (I chose spark). It works fine. Can we move forward and merge this PR as it is an consider it as **the default implementation that java sdks and java runners are free to use** (like the philosophy of runner-core-java module)?  
   We can address non java sdk/runners separately in the tickets https://issues.apache.org/jira/browse/BEAM-3967 and https://issues.apache.org/jira/browse/BEAM-3926.
   @swegner you gave LGTM, so I think we can merge.

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 90809)
    Time Spent: 3h 50m  (was: 3h 40m)

> Push metrics to a backend in an runner agnostic way
> ---------------------------------------------------
>
>                 Key: BEAM-3310
>                 URL: https://issues.apache.org/jira/browse/BEAM-3310
>             Project: Beam
>          Issue Type: New Feature
>          Components: sdk-java-core
>            Reporter: Etienne Chauchot
>            Assignee: Etienne Chauchot
>            Priority: Major
>          Time Spent: 3h 50m
>  Remaining Estimate: 0h
>
> The idea is to avoid relying on the runners to provide access to the metrics (either at the end of the pipeline or while it runs) because they don't have all the same capabilities towards metrics (e.g. spark runner configures sinks  like csv, graphite or in memory sinks using the spark engine conf). The target is to push the metrics in the common runner code so that no matter the chosen runner, a user can get his metrics out of beam.
> Here is the link to the discussion thread on the dev ML: https://lists.apache.org/thread.html/01a80d62f2df6b84bfa41f05e15fda900178f882877c294fed8be91e@%3Cdev.beam.apache.org%3E
> And the design doc:
> https://s.apache.org/runner_independent_metrics_extraction



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