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https://issues.apache.org/jira/browse/BEAM-8151?focusedWorklogId=307275&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-307275
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ASF GitHub Bot logged work on BEAM-8151:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Sep/19 15:59
Start Date: 05/Sep/19 15:59
Worklog Time Spent: 10m
Work Description: lukecwik commented on pull request #9477: [BEAM-8151,
BEAM-7848] Up the max number of threads inside the SDK harness to a default of
10k
URL: https://github.com/apache/beam/pull/9477#discussion_r321349829
##########
File path: sdks/python/apache_beam/runners/worker/sdk_worker_main.py
##########
@@ -202,7 +202,7 @@ def _get_worker_count(pipeline_options):
re.match(r'worker_threads=(?P<worker_threads>.*)',
experiment).group('worker_threads'))
- return 12
+ return 10000
Review comment:
It means that we will now schedule them to be executed while before we would
block (which could lead to deadlock for specific pipeline shapes) where the
execution of one bundle relies on the execution of another bundle.
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Issue Time Tracking
-------------------
Worklog Id: (was: 307275)
Time Spent: 3h (was: 2h 50m)
> 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: 3h
> 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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