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https://issues.apache.org/jira/browse/BEAM-10158?focusedWorklogId=439682&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-439682
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ASF GitHub Bot logged work on BEAM-10158:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 01/Jun/20 19:07
Start Date: 01/Jun/20 19:07
Worklog Time Spent: 10m
Work Description: lukecwik commented on a change in pull request #11867:
URL: https://github.com/apache/beam/pull/11867#discussion_r433431576
##########
File path: sdks/python/apache_beam/utils/thread_pool_executor.py
##########
@@ -134,3 +134,12 @@ def shutdown(self, wait=True):
if wait:
for worker in self._workers:
worker.join()
+
+
+class _SharedUnboundedThreadPoolExecutor(UnboundedThreadPoolExecutor):
Review comment:
People can still use UnboundedThreadPoolExecutor and there could be a
usecase around having threads from the pool having meaningful names to simplify
debugging so I'm going to leave it as is.
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Issue Time Tracking
-------------------
Worklog Id: (was: 439682)
Time Spent: 1h 10m (was: 1h)
> [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: 1h 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.
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