[ https://issues.apache.org/jira/browse/BEAM-10158?focusedWorklogId=438953&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-438953 ]
ASF GitHub Bot logged work on BEAM-10158: ----------------------------------------- Author: ASF GitHub Bot Created on: 29/May/20 22:04 Start Date: 29/May/20 22:04 Worklog Time Spent: 10m Work Description: lukecwik opened a new pull request #11867: URL: https://github.com/apache/beam/pull/11867 ------------------------ 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. - [ ] Update `CHANGES.md` with noteworthy changes. - [ ] If this contribution is large, please file an Apache [Individual Contributor License Agreement](https://www.apache.org/licenses/icla.pdf). 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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: 438953) Remaining Estimate: 0h Time Spent: 10m > [Python] Reuse a shared unbounded thread pool > --------------------------------------------- > > Key: BEAM-10158 > URL: https://issues.apache.org/jira/browse/BEAM-10158 > Project: Beam > Issue Type: Improvement > Components: sdk-py-core > Reporter: Luke Cwik > Assignee: Luke Cwik > Priority: P2 > Time Spent: 10m > Remaining Estimate: 0h > > During testing we create a lot of thread pools many of which we don't > shutdown which can lead to thread exhaustion on some machiens. > > Swapping to use a shared thread pool will decrease the memory overhead for > these unused threads and allow for greater reuse. -- This message was sent by Atlassian Jira (v8.3.4#803005)