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https://issues.apache.org/jira/browse/BEAM-11226?focusedWorklogId=510997&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-510997
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ASF GitHub Bot logged work on BEAM-11226:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 12/Nov/20 19:20
            Start Date: 12/Nov/20 19:20
    Worklog Time Spent: 10m 
      Work Description: kmjung commented on pull request #13295:
URL: https://github.com/apache/beam/pull/13295#issuecomment-726285975


   @chamikaramj is there anything remaining before we merge this?


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Issue Time Tracking
-------------------

    Worklog Id:     (was: 510997)
    Time Spent: 1h 10m  (was: 1h)

> Support larger tables in BigQuery storage API bounded source
> ------------------------------------------------------------
>
>                 Key: BEAM-11226
>                 URL: https://issues.apache.org/jira/browse/BEAM-11226
>             Project: Beam
>          Issue Type: Improvement
>          Components: io-java-gcp
>    Affects Versions: 2.25.0
>            Reporter: Kenneth Jung
>            Assignee: Kenneth Jung
>            Priority: P2
>   Original Estimate: 1h
>          Time Spent: 1h 10m
>  Remaining Estimate: 0h
>
> The BigQuery storage API client specifies a default deadline of 10 minutes 
> for calls to 
> [CreateReadSession](https://cloud.google.com/bigquery/docs/reference/storage#create_a_session).
>  However, for large tables, this operation can take longer than ten minutes, 
> and as a result, read session creation simply fails for these tables. Some 
> Beam runners, such as Google Cloud Dataflow, allow much longer for initial 
> split calls on bounded sources -- 2 hours, in the case of Dataflow. We can 
> support larger BigQuery tables with the storage API source by raising the 
> client-side deadline for CreateReadSession to match this 2-hour limit.



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