[jira] [Commented] (BEAM-12003) Verify and document the temp_dataset option for new Python BigQuery source

["Chamikara Madhusanka Jayalath (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-12003?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17335014#comment-17335014 ] 

Chamikara Madhusanka Jayalath commented on BEAM-12003:
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Ah great. Thanks!

> Verify and document the temp_dataset option for new Python BigQuery source
> --------------------------------------------------------------------------
>
>                 Key: BEAM-12003
>                 URL: https://issues.apache.org/jira/browse/BEAM-12003
>             Project: Beam
>          Issue Type: Bug
>          Components: io-py-gcp
>            Reporter: Chamikara Madhusanka Jayalath
>            Assignee: Pablo Estrada
>            Priority: P2
>
> Python native BigQuery source allows users to specify a temporary dataset: [https://github.com/apache/beam/blob/release-2.27.0/sdks/python/apache_beam/io/gcp/bigquery.py#L569]
>  
> Looking at new ReadFromBigQuery, this option is not documented: [https://github.com/apache/beam/blob/f482cef20ec9055f2ae1d10f68f380ad77bc8d8e/sdks/python/apache_beam/io/gcp/bigquery.py#L1801]
>  
> But looking at the implementation I think this is available anyways: [https://github.com/apache/beam/blob/f482cef20ec9055f2ae1d10f68f380ad77bc8d8e/sdks/python/apache_beam/io/gcp/bigquery.py#L665]
>  
> Pablo, could you verify and document this ?



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