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https://issues.apache.org/jira/browse/BEAM-8151?focusedWorklogId=308260&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-308260
]
ASF GitHub Bot logged work on BEAM-8151:
----------------------------------------
Author: ASF GitHub Bot
Created on: 07/Sep/19 01:58
Start Date: 07/Sep/19 01:58
Worklog Time Spent: 10m
Work Description: aaltay commented on issue #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#issuecomment-529062034
Precommit is failing with:
16:09:15 collapsing-thread-pool-executor 2018.6 has requirement
futures==3.2.0, but you have futures 3.3.0.
16:09:15 ERROR: InvocationError for command
/home/jenkins/jenkins-slave/workspace/beam_PreCommit_Python_Phrase/src/sdks/python/test-suites/tox/py2/build/srcs/sdks/python/target/.tox-py27-lint/py27-lint/bin/pip
check (exited with code 1)
16:09:15 py27-lint run-test-post: commands[0] |
/home/jenkins/jenkins-slave/workspace/beam_PreCommit_Python_Phrase/src/sdks/python/test-suites/tox/py2/build/srcs/sdks/python/scripts/run_tox_cleanup.sh
16:09:15 ___________________________________ summary
____________________________________
16:09:15 ERROR: py27-lint: commands failed
The reason is a dependency conflict.
collapsing-thread-pool-executor requires futures == 3.2.0 for python 2.7
(https://github.com/ftpsolutions/collapsing-thread-pool-executor/blob/master/setup.py#L22)
Beam's setup.py accepts "'futures>=3.2.0,<4.0.0; python_version < "3.0"',"
We can do a few things:
- Update collapsing-thread-pool-executor to relax the upper bound for
futures dependency
- Update beam to restict its futures dependency to use 3.2.0
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Issue Time Tracking
-------------------
Worklog Id: (was: 308260)
Time Spent: 5h 20m (was: 5h 10m)
> 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: 5h 20m
> 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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