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ASF GitHub Bot logged work on BEAM-8367: ---------------------------------------- Author: ASF GitHub Bot Created on: 15/Oct/19 00:57 Start Date: 15/Oct/19 00:57 Worklog Time Spent: 10m Work Description: pabloem commented on pull request #9797: [BEAM-8367] Using insertId for BQ streaming inserts URL: https://github.com/apache/beam/pull/9797 ------------------------ Thank you for your contribution! Follow this checklist to help us incorporate your contribution quickly and easily: - [ ] [**Choose reviewer(s)**](https://beam.apache.org/contribute/#make-your-change) and mention them in a comment (`R: @username`). - [ ] Format the pull request title like `[BEAM-XXX] Fixes bug in ApproximateQuantiles`, where you replace `BEAM-XXX` with the appropriate JIRA issue, if applicable. This will automatically link the pull request to the issue. - [ ] If this contribution is large, please file an Apache [Individual Contributor License Agreement](https://www.apache.org/licenses/icla.pdf). 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For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 328238) Remaining Estimate: 0h Time Spent: 10m > Python BigQuery sink should use unique IDs for mode STREAMING_INSERTS > --------------------------------------------------------------------- > > Key: BEAM-8367 > URL: https://issues.apache.org/jira/browse/BEAM-8367 > Project: Beam > Issue Type: Bug > Components: sdk-py-core > Reporter: Chamikara Madhusanka Jayalath > Assignee: Pablo Estrada > Priority: Major > Time Spent: 10m > Remaining Estimate: 0h > > Unique IDs ensure (best effort) that writes to BigQuery are idempotent, for > example, we don't write the same record twice in a VM failure. > > Currently Python BQ sink insert BQ IDs here but they'll be re-generated in a > VM failure resulting in data duplication. > [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/gcp/bigquery.py#L766] > > Correct fix is to do a Reshuffle to checkpoint unique IDs once they are > generated, similar to how Java BQ sink operates. > [https://github.com/apache/beam/blob/dcf6ad301069e4d2cfaec5db6b178acb7bb67f49/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/StreamingWriteTables.java#L225] > > Pablo, can you do an initial assessment here ? > I think this is a relatively small fix but I might be wrong. -- This message was sent by Atlassian Jira (v8.3.4#803005)