[ https://issues.apache.org/jira/browse/BEAM-10209?focusedWorklogId=442248&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-442248 ]
ASF GitHub Bot logged work on BEAM-10209: ----------------------------------------- Author: ASF GitHub Bot Created on: 06/Jun/20 13:20 Start Date: 06/Jun/20 13:20 Worklog Time Spent: 10m Work Description: InigoSJ opened a new pull request #11943: URL: https://github.com/apache/beam/pull/11943 When need Windows and the Mean combiner in a Globally way, we cannot specify `without_defaults()`, forcing us to use the workaround of `CombineGlobally(MeanCombineFn()).without_defaults()`. This PR fix this, adding the `without_defaults()` to Mean in Python ------------------------ 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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For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 442248) Remaining Estimate: 0h Time Spent: 10m > Add without_defaults to Mean > ----------------------------- > > Key: BEAM-10209 > URL: https://issues.apache.org/jira/browse/BEAM-10209 > Project: Beam > Issue Type: Improvement > Components: sdk-py-core > Affects Versions: 2.21.0 > Reporter: Inigo San Jose Visiers > Priority: P2 > Time Spent: 10m > Remaining Estimate: 0h > > When using Windows and a Global Combiner with need to use > `without_defaults()`, this is not possible when using the built-in combiner > `Mean`, and the workaround is to do > `CombineGlobally(MeanCombineFn()).without_defaults()`. > Adding the option to use .without_defaults() directly would help both the > code readability and ease of use. -- This message was sent by Atlassian Jira (v8.3.4#803005)