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https://issues.apache.org/jira/browse/BEAM-8898?focusedWorklogId=387632&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-387632
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ASF GitHub Bot logged work on BEAM-8898:
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Author: ASF GitHub Bot
Created on: 14/Feb/20 19:26
Start Date: 14/Feb/20 19:26
Worklog Time Spent: 10m
Work Description: stale[bot] commented on pull request #10319:
[BEAM-8898] Upgrade Python google-cloud-bigquery dependency
URL: https://github.com/apache/beam/pull/10319
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Issue Time Tracking
-------------------
Worklog Id: (was: 387632)
Time Spent: 1h 50m (was: 1h 40m)
> 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 50m
> 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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