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https://issues.apache.org/jira/browse/BEAM-2810?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16407532#comment-16407532
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Debasish Das commented on BEAM-2810:
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our flow starts from bq-export/gcs avro files and 1 node sizable dataset (say
500 MB - 1 GB) to run multi-core (4/8) local pipelines will be needed for our
use-case...Is it possible to expose java avro through py4j or some trick like
that ? I should be able to take up the task...
> 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
> Priority: Major
>
> 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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