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https://issues.apache.org/jira/browse/BEAM-12865?focusedWorklogId=679921&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-679921
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ASF GitHub Bot logged work on BEAM-12865:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/Nov/21 20:35
            Start Date: 10/Nov/21 20:35
    Worklog Time Spent: 10m 
      Work Description: codecov[bot] edited a comment on pull request #15489:
URL: https://github.com/apache/beam/pull/15489#issuecomment-916733707


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   > Merging 
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 (08b8d5f) will **decrease** coverage by `0.01%`.
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   ```diff
   @@            Coverage Diff             @@
   ##           master   #15489      +/-   ##
   ==========================================
   - Coverage   83.52%   83.50%   -0.02%     
   ==========================================
     Files         445      445              
     Lines       61414    61418       +4     
   ==========================================
   - Hits        51293    51288       -5     
   - Misses      10121    10130       +9     
   ```
   
   
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 679921)
    Time Spent: 8h 20m  (was: 8h 10m)

> Allow customising batch duration when streaming with WriteToBigQuery
> --------------------------------------------------------------------
>
>                 Key: BEAM-12865
>                 URL: https://issues.apache.org/jira/browse/BEAM-12865
>             Project: Beam
>          Issue Type: New Feature
>          Components: io-py-gcp
>    Affects Versions: Not applicable
>            Reporter: Quentin Sommer
>            Priority: P2
>              Labels: stale-P2
>             Fix For: Not applicable
>
>          Time Spent: 8h 20m
>  Remaining Estimate: 0h
>
> Hi,
> We allow customising the {{batch_size}} when streaming to BigQuery but the 
> batch duration (used by {{GroupIntoBatches}}) is set to 
> {{DEFAULT_BATCH_BUFFERING_DURATION_LIMIT_SEC}} (0.2)
> I'd like to add the option to specify the {{batch_duration}} to allow better 
> batching for scenarios with little data throughput.



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