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https://issues.apache.org/jira/browse/BEAM-2810?focusedWorklogId=106754&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-106754
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ASF GitHub Bot logged work on BEAM-2810:
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Author: ASF GitHub Bot
Created on: 29/May/18 18:27
Start Date: 29/May/18 18:27
Worklog Time Spent: 10m
Work Description: ryan-williams commented on issue #5496: do not merge!
[BEAM-2810] use fastavro in Avro IO
URL: https://github.com/apache/beam/pull/5496#issuecomment-392885686
I think I'll put the fastavro support behind a flag, and leave the existing
apache/avro implementation in, to be safe, and allow for some tests that verify
concordance between them.
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Issue Time Tracking
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Worklog Id: (was: 106754)
Time Spent: 1h 20m (was: 1h 10m)
> 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
> 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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