[
https://issues.apache.org/jira/browse/BEAM-6754?focusedWorklogId=207724&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-207724
]
ASF GitHub Bot logged work on BEAM-6754:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Mar/19 10:12
Start Date: 05/Mar/19 10:12
Worklog Time Spent: 10m
Work Description: mxm commented on pull request #7984: [BEAM-6754] Use
subprocess instead of threads in loopback environment
URL: https://github.com/apache/beam/pull/7984#discussion_r262427823
##########
File path: sdks/python/apache_beam/runners/portability/portable_runner.py
##########
@@ -445,15 +446,22 @@ def start(cls, worker_threads=1):
def NotifyRunnerAvailable(self, start_worker_request, context):
try:
- worker = sdk_worker.SdkHarness(
- start_worker_request.control_endpoint.url,
- worker_count=self._worker_threads,
- worker_id=start_worker_request.worker_id)
- worker_thread = threading.Thread(
- name='run_worker_%s' % start_worker_request.worker_id,
- target=worker.run)
- worker_thread.daemon = True
- worker_thread.start()
+ command = ['python', '-c',
+ 'from apache_beam.runners.worker.sdk_worker '
+ 'import SdkHarness as SH; '
+ 'SH("%s",worker_count=%d,worker_id="%s").run()' % (
+ start_worker_request.control_endpoint.url,
+ self._worker_threads,
+ start_worker_request.worker_id), ]
+ logging.warn("Starting worker with command %s" % (command))
+ process = subprocess.Popen(command, stdout=subprocess.PIPE, )
Review comment:
intentional `, `?
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Issue Time Tracking
-------------------
Worklog Id: (was: 207724)
Time Spent: 40m (was: 0.5h)
> Support multi core machines for python pipeline on flink for loopback
> environment
> ---------------------------------------------------------------------------------
>
> Key: BEAM-6754
> URL: https://issues.apache.org/jira/browse/BEAM-6754
> Project: Beam
> Issue Type: Task
> Components: runner-core, runner-flink
> Reporter: Ankur Goenka
> Assignee: Ankur Goenka
> Priority: Major
> Time Spent: 40m
> Remaining Estimate: 0h
>
> Loopbck worker is shared across multiple taskmanagers on a single machine. We
> should support starting multiple process in loopback worker based on number
> of cores.
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