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https://issues.apache.org/jira/browse/BEAM-7874?focusedWorklogId=288137&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-288137
]
ASF GitHub Bot logged work on BEAM-7874:
----------------------------------------
Author: ASF GitHub Bot
Created on: 02/Aug/19 18:06
Start Date: 02/Aug/19 18:06
Worklog Time Spent: 10m
Work Description: Hannah-Jiang commented on pull request #9218:
[BEAM-7874], [BEAM-7873] FnApi bugfixs
URL: https://github.com/apache/beam/pull/9218#discussion_r310240952
##########
File path: sdks/python/apache_beam/runners/portability/local_job_service.py
##########
@@ -200,10 +202,13 @@ def run(self):
if self._worker_id:
env_dict['WORKER_ID'] = self._worker_id
- p = subprocess.Popen(
- self._worker_command_line,
- shell=True,
- env=env_dict)
+ # deadlock would happen with py2, so add a lock here.
+ # no problem with py3.
+ with SubprocessSdkWorker._lock:
+ p = subprocess.Popen(
Review comment:
It turns out that deadlock happens with Popen(), rather than with p.wait().
Ran 1500 of wordcount.py with 3 workers and confirmed deadlock doesn't
happen.
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Issue Time Tracking
-------------------
Worklog Id: (was: 288137)
Time Spent: 40m (was: 0.5h)
> FnApi only supports up to 10 workers
> ------------------------------------
>
> Key: BEAM-7874
> URL: https://issues.apache.org/jira/browse/BEAM-7874
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Hannah Jiang
> Assignee: Hannah Jiang
> Priority: Major
> Fix For: 2.15.0
>
> Time Spent: 40m
> Remaining Estimate: 0h
>
> Because max_workers of grpc servers are hardcoded to 10, it only supports up
> to 10 workers, and if we pass more direct_num_workers greater than 10,
> pipeline hangs, because not all workers get connected to the runner.
> [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/portability/fn_api_runner.py#L1141]
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