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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2022/05/13 22:35:00 UTC

[jira] [Work logged] (BEAM-14255) Drop the clock abastraction and just use time.time for time measurements

     [ https://issues.apache.org/jira/browse/BEAM-14255?focusedWorklogId=770400&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-770400 ]

ASF GitHub Bot logged work on BEAM-14255:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 13/May/22 22:34
            Start Date: 13/May/22 22:34
    Worklog Time Spent: 10m 
      Work Description: ryanthompson591 opened a new pull request, #17671:
URL: https://github.com/apache/beam/pull/17671

   Previously TFX-BSL was using a wrapper around time in order to take advantage of get_time_nanoseconds, that is only available on some platforms.
   
   But after talking to them they don't seem to know why they did this. Also I can't find any information anywhere that says that this interface will provide a more accurate time than the floating point number that time.time() already provides.
   
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 770400)
    Remaining Estimate: 0h
            Time Spent: 10m

> Drop the clock abastraction and just use time.time for time measurements
> ------------------------------------------------------------------------
>
>                 Key: BEAM-14255
>                 URL: https://issues.apache.org/jira/browse/BEAM-14255
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Ryan Thompson
>            Assignee: Ryan Thompson
>            Priority: P2
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Right now the TFX-BSL Runinference library uses an abstract clock class to get microsecond precision, but time.time should give an adequate precision.
>  
> Investigate removing the clock abstraction and just using time.time.
>  
> Alternatively, comment why the abstraction is useful.



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