[ 
https://issues.apache.org/jira/browse/BEAM-8474?focusedWorklogId=334371&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-334371
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ASF GitHub Bot logged work on BEAM-8474:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 25/Oct/19 21:13
            Start Date: 25/Oct/19 21:13
    Worklog Time Spent: 10m 
      Work Description: pabloem commented on pull request #9891: [BEAM-8474] A 
microbenchmark for Python FnApiRunner:
URL: https://github.com/apache/beam/pull/9891
 
 
   Overall runtime of this microbenchmark is about one minute.
   
   This runs a series of N parallel pipelines with M parallel stages each. Each
   stage does the following:
   
   1) Put all the PCollection elements in state
   2) Set a timer for the future
   3) When the timer fires, change the key and output all the elements 
downstream
   
   Results:
   ```
   python -m apache_beam.tools.fn_api_runner_microbenchmark
        1 element  3.97874 sec
      101 elements 5.81925 sec
      201 elements 6.12566 sec
      301 elements 6.57774 sec
      401 elements 7.43154 sec
      501 elements 7.97614 sec
      601 elements 8.63536 sec
      701 elements 9.10238 sec
      801 elements 9.17786 sec
      901 elements 10.0178 sec
   
   Fixed cost   4.765602442423502
   Per-element  0.00017222933748583773
   R^2          0.9607312619599335
   ```
   
   ------------------------
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 334371)
    Remaining Estimate: 0h
            Time Spent: 10m

> A microbenchmark that exercises the FnAPI runner functionality
> --------------------------------------------------------------
>
>                 Key: BEAM-8474
>                 URL: https://issues.apache.org/jira/browse/BEAM-8474
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Pablo Estrada
>            Assignee: Pablo Estrada
>            Priority: Major
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> The main data paths for the Fn API runner are exercised by:
>  * Side inputs
>  * GBK
>  * State
>  * Timers
>  * SDF?
> A microbenchmark would have a number of stages that exercise one or more of 
> these data paths.
> A microbenchmark suite may have more than one pipeline.



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