ASF GitHub Bot logged work on BEAM-8898:

                Author: ASF GitHub Bot
            Created on: 14/Feb/20 19:25
            Start Date: 14/Feb/20 19:25
    Worklog Time Spent: 10m 
      Work Description: stale[bot] commented on issue #10319: [BEAM-8898] 
Upgrade Python google-cloud-bigquery dependency
URL: https://github.com/apache/beam/pull/10319#issuecomment-586438366
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Issue Time Tracking

    Worklog Id:     (was: 387631)
    Time Spent: 1h 40m  (was: 1.5h)

> Enable WriteToBigQuery to perform range partitioning
> ----------------------------------------------------
>                 Key: BEAM-8898
>                 URL: https://issues.apache.org/jira/browse/BEAM-8898
>             Project: Beam
>          Issue Type: New Feature
>          Components: io-py-gcp
>            Reporter: Saman Vaisipour
>            Priority: Minor
>          Time Spent: 1h 40m
>  Remaining Estimate: 0h
> BigQuery team recently [released 
> 1.22.0|https://github.com/googleapis/google-cloud-python/releases/tag/bigquery-1.22.0]
>  which includes the range partitioning feature (here is [an 
> example|https://github.com/googleapis/google-cloud-python/blob/c4a69d44ccea9635b3d9d316b3f545f16538dafe/bigquery/samples/create_table_range_partitioned.py]).
> WriteToBigQuery uses 
> [`additional_bq_parameters`|https://github.com/apache/beam/blob/c1719476b74ec6f68fabea392087607adafc70ef/sdks/python/apache_beam/io/gcp/bigquery.py#L177]
>  to create tables with date partitioning and clustering. It would be great if 
> the same would be possible to create tables with range partitioning.

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