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https://issues.apache.org/jira/browse/BEAM-4634?focusedWorklogId=454134&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-454134
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ASF GitHub Bot logged work on BEAM-4634:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Jul/20 18:50
            Start Date: 02/Jul/20 18:50
    Worklog Time Spent: 10m 
      Work Description: robertwb commented on pull request #12061:
URL: https://github.com/apache/beam/pull/12061#issuecomment-653167957


   (1) is not (yet) a concern for Go, but good (if unfortunate) point about
   (2). Something that could mitigate this is to make it required.
   
   On Thu, Jul 2, 2020 at 11:25 AM Brian Michalski <[email protected]>
   wrote:
   
   > I'm very new to Beam so don't have strong thoughts here, but two things
   > jump out:
   >
   >    1. It's a breaking change.
   >    2. LegacySQL appears to be the default for Python and Java.
   >
   > I don't know enough about the project to understand if there are too many
   > users for 1 to be feasible (my gut sayz no) or if consistency with other
   > language SDKs 2 is goal or non-goal.
   >
   > —
   > You are receiving this because you commented.
   > Reply to this email directly, view it on GitHub
   > <https://github.com/apache/beam/pull/12061#issuecomment-653157515>, or
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 454134)
    Time Spent: 2h  (was: 1h 50m)

> Use Standard SQL in biqueryio transform
> ---------------------------------------
>
>                 Key: BEAM-4634
>                 URL: https://issues.apache.org/jira/browse/BEAM-4634
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-go
>            Reporter: Eduardo Morales
>            Assignee: Brian M
>            Priority: P3
>             Fix For: 2.23.0
>
>          Time Spent: 2h
>  Remaining Estimate: 0h
>
> The bigqueryio transform is currently hard coded to use Legacy SQL. Using the 
> newer Standard SQL would allow us to write richer queries.



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