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https://issues.apache.org/jira/browse/BEAM-7495?focusedWorklogId=293474&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-293474
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ASF GitHub Bot logged work on BEAM-7495:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 12/Aug/19 23:10
            Start Date: 12/Aug/19 23:10
    Worklog Time Spent: 10m 
      Work Description: aryann commented on issue #9156: [BEAM-7495] Add 
fine-grained progress reporting
URL: https://github.com/apache/beam/pull/9156#issuecomment-520627879
 
 
   > BTW I noticed that we do not document Method DIRECT_READ as experimental 
at following location.
   > 
https://github.com/apache/beam/blob/master/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java#L632
   > 
   > I think we should clearly document it as experimental there till it's 
stable. Unfortunately experimental annotation will not work for this option. 
How about renaming it to EXPERIMENTAL_DIRECT_READ ?
   
   Assuming no one has a dependency on this identifier, I'm okay with that, but 
let's not tackle this in this pull request since that's unrelated.
 
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Issue Time Tracking
-------------------

            Worklog Id:     (was: 293474)
            Time Spent: 12.5h  (was: 12h 20m)
    Remaining Estimate: 491.5h  (was: 491h 40m)

> Add support for dynamic worker re-balancing when reading BigQuery data using 
> Cloud Dataflow
> -------------------------------------------------------------------------------------------
>
>                 Key: BEAM-7495
>                 URL: https://issues.apache.org/jira/browse/BEAM-7495
>             Project: Beam
>          Issue Type: New Feature
>          Components: io-java-gcp
>            Reporter: Aryan Naraghi
>            Assignee: Aryan Naraghi
>            Priority: Major
>   Original Estimate: 504h
>          Time Spent: 12.5h
>  Remaining Estimate: 491.5h
>
> Currently, the BigQuery connector for reading data using the BigQuery Storage 
> API does not support any of the facilities on the source for Dataflow to 
> split streams.
>  
> On the server side, the BigQuery Storage API supports splitting streams at a 
> fraction. By adding support to the connector, we enable Dataflow to split 
> streams, which unlocks dynamic worker re-balancing.



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