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https://issues.apache.org/jira/browse/BEAM-7772?focusedWorklogId=293227&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-293227
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ASF GitHub Bot logged work on BEAM-7772:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 12/Aug/19 15:51
            Start Date: 12/Aug/19 15:51
    Worklog Time Spent: 10m 
      Work Description: lgajowy commented on pull request #9315: [BEAM-7772] 
remove pkb from JDBCIOIT, HadoopFormatIOIT
URL: https://github.com/apache/beam/pull/9315
 
 
   Removes perfkit usage from JDBC and HadoopFromat ioit tests. 
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 293227)
            Time Spent: 10m
    Remaining Estimate: 0h

> Stop using Perfkit Benchmarker tool in all tests
> ------------------------------------------------
>
>                 Key: BEAM-7772
>                 URL: https://issues.apache.org/jira/browse/BEAM-7772
>             Project: Beam
>          Issue Type: Improvement
>          Components: testing
>            Reporter: Lukasz Gajowy
>            Assignee: Lukasz Gajowy
>            Priority: Major
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> [Devlist thread 
> link|https://lists.apache.org/thread.html/dab1c093799248787e8b75e63b66d7389b594b649a4d9a4a5db1cfbb@%3Cdev.beam.apache.org%3E]
>  
> Currently Python, IOIT and some Dataflow and Spark performance tests are 
> relying on Perfkit Benchmarker tool. Due to the reasons discussed on the 
> devlist it was decided to remove it from Beam's tests. 
> Problems that we face currently:
>  # Changes to Gradle tasks/build configuration in the Beam codebase have to 
> be reflected in Perfkit code. This required PRs to Perfkit which can last and 
> the tests break due to this sometimes (no change in Perfkit + change already 
> there in beam = incompatibility). This is what happened in PR 8919 (above),
>  # Can't run in Python3 (depends on python 2 only library like functools32),
>  # Black box testing which hard to collect pipeline related metrics,
>  # Measurement of run time is inaccurate,
>  # It offers relatively small elasticity in comparison with eg. Jenkins tasks 
> in terms of setting up the testing infrastructure (runners, databases). For 
> example, if we'd like to setup Flink runner, and reuse it in consequent tests 
> in one go, that would be impossible. We can easily do this in Jenkins.
> Tests that use Perfkit:
>  # IO integration tests,
>  # Python performance tests,
>  # beam_PerformanceTests_Dataflow (disabled),
>  # beam_PerformanceTests_Spark (failing constantly - looks not maintained).
>  



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