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https://issues.apache.org/jira/browse/BEAM-5510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16862539#comment-16862539
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Steven Ensslen commented on BEAM-5510:
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Basically the same error also occurs for python `float`s. {color:#000000}Error
while reading data, error message: JSON table encountered too many errors,
giving up. Rows: 582; errors: 1. Please look into the errors[] collection for
more details., error: Error while reading data, error message: JSON parsing
error in row starting at position 226394188: Could not convert value to string.
Field: LossFactorRate; Value: 1.0654{color}
> 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
> Priority: Major
>
> 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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