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From Ismaël Mejía (JIRA) <j...@apache.org>
Subject [jira] [Assigned] (BEAM-2810) Consider a faster Avro library in Python
Date Wed, 30 May 2018 06:07:00 GMT

     [ https://issues.apache.org/jira/browse/BEAM-2810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ismaël Mejía reassigned BEAM-2810:
----------------------------------

    Assignee: Ryan Williams

> Consider a faster Avro library in Python
> ----------------------------------------
>
>                 Key: BEAM-2810
>                 URL: https://issues.apache.org/jira/browse/BEAM-2810
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Eugene Kirpichov
>            Assignee: Ryan Williams
>            Priority: Major
>          Time Spent: 1h 20m
>  Remaining Estimate: 0h
>
> https://stackoverflow.com/questions/45870789/bottleneck-on-data-source
> Seems like this job is reading Avro files (exported by BigQuery) at about 2 MB/s.
> We use the standard Python "avro" library which is apparently known to be very slow (10x+
slower than Java) http://apache-avro.679487.n3.nabble.com/Avro-decode-very-slow-in-Python-td4034422.html,
and there are alternatives e.g. https://pypi.python.org/pypi/fastavro/



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