[jira] [Closed] (BEAM-9085) Performance regression in np.random.RandomState() skews performance test results across Python 2/3 on Dataflow

["Valentyn Tymofieiev (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-9085?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Valentyn Tymofieiev closed BEAM-9085.
-------------------------------------
    Fix Version/s: Not applicable
       Resolution: Fixed

> Performance regression in np.random.RandomState() skews performance test results across Python 2/3 on Dataflow
> --------------------------------------------------------------------------------------------------------------
>
>                 Key: BEAM-9085
>                 URL: https://issues.apache.org/jira/browse/BEAM-9085
>             Project: Beam
>          Issue Type: Bug
>          Components: testing
>            Reporter: Kamil Wasilewski
>            Assignee: Kamil Wasilewski
>            Priority: Major
>             Fix For: Not applicable
>
>          Time Spent: 9h 20m
>  Remaining Estimate: 0h
>
> Tests show that the performance of core Beam operations in Python 3.x on Dataflow can be a few time slower than in Python 2.7. We should investigate what's the cause of the problem.
> Currently, we have one ParDo test that is run both in Py3 and Py2 [1]. A dashboard with runtime results can be found here [2].
> [1] sdks/python/apache_beam/testing/load_tests/pardo_test.py
> [2] https://apache-beam-testing.appspot.com/explore?dashboard=5678187241537536



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