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ASF GitHub Bot logged work on BEAM-8898: ---------------------------------------- Author: ASF GitHub Bot Created on: 07/Feb/20 18:57 Start Date: 07/Feb/20 18:57 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-583554470 This pull request has been marked as stale due to 60 days of inactivity. It will be closed in 1 week if no further activity occurs. If you think that’s incorrect or this pull request requires a review, please simply write any comment. If closed, you can revive the PR at any time and @mention a reviewer or discuss it on the d...@beam.apache.org list. Thank you for your contributions. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 383792) Time Spent: 1.5h (was: 1h 20m) > 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: 1.5h > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005)