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https://issues.apache.org/jira/browse/BEAM-2208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16002070#comment-16002070
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Ahmet Altay commented on BEAM-2208:
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[[email protected]], do you have any recent job runs? Only bare minimum
metadata information is kept beyond a few weeks for debugging, and I cannot
tell what is is causing the difference from that information. One thing I
noticed is the biggest difference in time comes from the reading step. Could
you check whether GCS gzip compression is enabled for this input file?
> Apache Beam Python SDK is atleast 5 times slower
> ------------------------------------------------
>
> Key: BEAM-2208
> URL: https://issues.apache.org/jira/browse/BEAM-2208
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow, sdk-py
> Affects Versions: 0.6.0
> Reporter: Anant Bhandarkar
> Assignee: Ahmet Altay
> Priority: Critical
>
> I have been trying to run the Beam Word count example with a 2GB file.
> When I run the Java Example for word count of this csv file the job gets
> completed in 7.15secs Mins.
> Job ID
> 2017-04-18_23_57_02-2832613177376293063
> But word count example with same file using Python SDK takes 28 to 35mins
> 2017-04-20_04_48_27-8924552896141769408
> SDK version
> Apache Beam SDK for Python 0.6.0
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