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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2022/02/06 12:45:00 UTC

[jira] [Work logged] (BEAM-11115) Remove _CustomBigQuerySource implementation to rely on ReadAllFromBigQuery

     [ https://issues.apache.org/jira/browse/BEAM-11115?focusedWorklogId=721632&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-721632 ]

ASF GitHub Bot logged work on BEAM-11115:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 06/Feb/22 12:44
            Start Date: 06/Feb/22 12:44
    Worklog Time Spent: 10m 
      Work Description: github-actions[bot] commented on pull request #13185:
URL: https://github.com/apache/beam/pull/13185#issuecomment-1030825416


   This pull request has been marked as stale due to 60 days of inactivity. It will be closed in 1 week if no further activity occurs. If you think that’s incorrect or this pull request requires a review, please simply write any comment. If closed, you can revive the PR at any time and @mention a reviewer or discuss it on the dev@beam.apache.org list. Thank you for your contributions.


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

    Worklog Id:     (was: 721632)
    Time Spent: 0.5h  (was: 20m)

> Remove _CustomBigQuerySource implementation to rely on ReadAllFromBigQuery
> --------------------------------------------------------------------------
>
>                 Key: BEAM-11115
>                 URL: https://issues.apache.org/jira/browse/BEAM-11115
>             Project: Beam
>          Issue Type: Improvement
>          Components: io-py-gcp
>            Reporter: Pablo Estrada
>            Priority: P3
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> there are two implementations of ReadFromBQ. One is used for a new feature in ReadAllFromBQ - the other is used for the regular ReadFromBigQuery transform - we need to move ReadFromBQ to rely on ReadAllFromBQ under the covers.
>  
> It is not possible at the moment because ReadAllFromBQ only works on portable runners. Once Python runners are all portable, we can move.



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