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https://issues.apache.org/jira/browse/BEAM-9561?focusedWorklogId=510044&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-510044
]
ASF GitHub Bot logged work on BEAM-9561:
----------------------------------------
Author: ASF GitHub Bot
Created on: 11/Nov/20 01:16
Start Date: 11/Nov/20 01:16
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on a change in pull request
#13286:
URL: https://github.com/apache/beam/pull/13286#discussion_r520979308
##########
File path: sdks/python/apache_beam/dataframe/pandas_docs_test.py
##########
@@ -33,10 +39,15 @@
PANDAS_DIR = os.path.expanduser("~/.apache_beam/cache/pandas-" +
PANDAS_VERSION)
PANDAS_DOCS_SOURCE = os.path.join(PANDAS_DIR, 'doc', 'source')
+parallelism = None
+
def main():
- # Not available for Python 2.
- import urllib.request
+ parser = argparse.ArgumentParser()
+ parser.add_argument('-p', '--parallel', type=int, default=0)
Review comment:
nit: add a help string indicating the default is 0, which will use the
cpu count
##########
File path: sdks/python/apache_beam/dataframe/pandas_docs_test.py
##########
@@ -74,22 +85,56 @@ def main():
if any(filter in path for filter in filters):
paths.append(path)
+ # Using a global here is a bit hacky, but avoids pickling issues when used
+ # with multiprocessing.
+ global parallelism
Review comment:
Is this needed because parallelism is used in run_tests? Instead of
branching on parallelism inside run_tests could we just make a different method
for the parallel vs single-threaded cases?
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Issue Time Tracking
-------------------
Worklog Id: (was: 510044)
Time Spent: 15.5h (was: 15h 20m)
> Run pandas tests with Beam Dataframe API
> ----------------------------------------
>
> Key: BEAM-9561
> URL: https://issues.apache.org/jira/browse/BEAM-9561
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Robert Bradshaw
> Priority: P2
> Fix For: Not applicable
>
> Time Spent: 15.5h
> Remaining Estimate: 0h
>
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