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https://issues.apache.org/jira/browse/BEAM-8151?focusedWorklogId=342937&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-342937
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ASF GitHub Bot logged work on BEAM-8151:
----------------------------------------
Author: ASF GitHub Bot
Created on: 13/Nov/19 21:58
Start Date: 13/Nov/19 21:58
Worklog Time Spent: 10m
Work Description: aaltay commented on pull request #9477: [BEAM-8151,
BEAM-7848] Swap to using an unbounded thread pool which shrinks when threads
are not being used.
URL: https://github.com/apache/beam/pull/9477#discussion_r346016216
##########
File path: sdks/python/apache_beam/runners/worker/sdk_worker_main.py
##########
@@ -190,7 +190,7 @@ def _get_worker_count(pipeline_options):
future releases.
Returns:
- an int containing the worker_threads to use. Default is 12
+ an int containing the worker_threads to use. Default is 10000.
Review comment:
Also update L206? (`return 12`)
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Issue Time Tracking
-------------------
Worklog Id: (was: 342937)
Time Spent: 10h 50m (was: 10h 40m)
> Allow the Python SDK to use many many threads
> ---------------------------------------------
>
> Key: BEAM-8151
> URL: https://issues.apache.org/jira/browse/BEAM-8151
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core, sdk-py-harness
> Reporter: Luke Cwik
> Assignee: Luke Cwik
> Priority: Major
> Time Spent: 10h 50m
> Remaining Estimate: 0h
>
> We need to use a thread pool which shrinks the number of active threads when
> they are not being used.
>
> This is to prevent any stuckness issues related to a runner scheduling more
> work items then there are "work" threads inside the SDK harness.
>
> By default the control plane should have all "requests" being processed in
> parallel and the runner is responsible for not overloading the SDK with too
> much work.
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