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ASF GitHub Bot logged work on BEAM-8657: ---------------------------------------- Author: ASF GitHub Bot Created on: 14/Nov/19 18:40 Start Date: 14/Nov/19 18:40 Worklog Time Spent: 10m Work Description: robertwb commented on pull request #10109: [BEAM-8657] Combiner lifting fix for bundle-based direct runner. URL: https://github.com/apache/beam/pull/10109 ------------------------ 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. 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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: 343635) Time Spent: 1h 10m (was: 1h) > Not doing Combiner lifting for data-driven triggers > --------------------------------------------------- > > Key: BEAM-8657 > URL: https://issues.apache.org/jira/browse/BEAM-8657 > Project: Beam > Issue Type: Bug > Components: sdk-py-core > Reporter: wendy liu > Assignee: Robert Bradshaw > Priority: Major > Time Spent: 1h 10m > Remaining Estimate: 0h > > The test below will always produce empty output, due to combiner lifting, > which already combines all input values of one shard into one before > grouping. To fix this, we shall not do Combiner lifting for the data-driven > triggers. > l = [window.TimestampedValue(('a', 1), 1), > window.TimestampedValue(('b', 3), 3), > window.TimestampedValue(('a', 2), 2), > window.TimestampedValue(('a', 5), 5),] > result = (p | Map(lambda x : x) | 'window' >> > beam.WindowInto(FixedWindows(6), trigger=trigger.AfterCount(2), > accumulation_mode=trigger.AccumulationMode.DISCARDING) | > beam.CombinePerKey(combine.Largest(1))) -- This message was sent by Atlassian Jira (v8.3.4#803005)