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https://issues.apache.org/jira/browse/BEAM-8474?focusedWorklogId=334381&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-334381
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ASF GitHub Bot logged work on BEAM-8474:
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Author: ASF GitHub Bot
Created on: 25/Oct/19 21:39
Start Date: 25/Oct/19 21:39
Worklog Time Spent: 10m
Work Description: boyuanzz commented on issue #9891: [BEAM-8474] A
microbenchmark for Python FnApiRunner:
URL: https://github.com/apache/beam/pull/9891#issuecomment-546522382
Thanks for starting to create microbenchmark for more components! Would you
mind explaining more about what kind of regression this microbenchmark trying
to catch? Regression of core SDK component? SDK harness? or just FnApiRunner?
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Issue Time Tracking
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Worklog Id: (was: 334381)
Time Spent: 0.5h (was: 20m)
> 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: 0.5h
> 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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