[jira] [Updated] (BEAM-5510) Records including datetime to be saved as DATETIME or TIMESTAMP in BigQuery

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-5510?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Beam JIRA Bot updated BEAM-5510:
--------------------------------
    Labels: stale-assigned  (was: )

> Records including datetime to be saved as DATETIME or TIMESTAMP in BigQuery
> ---------------------------------------------------------------------------
>
>                 Key: BEAM-5510
>                 URL: https://issues.apache.org/jira/browse/BEAM-5510
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>    Affects Versions: 2.6.0
>            Reporter: Pascal Gula
>            Assignee: Pablo Estrada
>            Priority: P3
>              Labels: stale-assigned
>
> When trying to write some row in BigQuery that include a python datetime object, the marshaling used to save a row in BigQuery is impossible.
> {code:java}
> File "/home/pascal/Wks/GitHub/PEAT-AI/Albatros/venv/local/lib/python2.7/site-packages/apache_beam/internal/gcp/json_value.py", line 124, in to_json_value
>     raise TypeError('Cannot convert %s to a JSON value.' % repr(obj))
> TypeError: Cannot convert datetime.datetime(2018, 9, 25, 18, 57, 18, 108579) to a JSON value. [while running 'save/WriteToBigQuery']
> {code}
> However, this is something perfectly feasible, as `google-cloud-python` supports it since this issue has been solved: [https://github.com/GoogleCloudPlatform/google-cloud-python/issues/2957]
> thanks to this pull request: [https://github.com/GoogleCloudPlatform/google-cloud-python/pull/3426/files]
> As similar approach could be taken for the `json_value.py` helper.
> Is there any workaround that can be applied to solve this issue? 
>  



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