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https://issues.apache.org/jira/browse/BEAM-2810?focusedWorklogId=114984&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-114984
]
ASF GitHub Bot logged work on BEAM-2810:
----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Jun/18 00:53
Start Date: 23/Jun/18 00:53
Worklog Time Spent: 10m
Work Description: chamikaramj commented on a change in pull request
#5496: [BEAM-2810] use fastavro in Avro IO
URL: https://github.com/apache/beam/pull/5496#discussion_r197594832
##########
File path: sdks/python/apache_beam/io/avroio.py
##########
@@ -67,7 +69,8 @@ class ReadFromAvro(PTransform):
"""A :class:`~apache_beam.transforms.ptransform.PTransform` for reading avro
files."""
- def __init__(self, file_pattern=None, min_bundle_size=0, validate=True):
+ def __init__(self, file_pattern=None, min_bundle_size=0, validate=True,
+ use_fastavro=False):
Review comment:
Please update the pydoc.
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Issue Time Tracking
-------------------
Worklog Id: (was: 114984)
Time Spent: 2.5h (was: 2h 20m)
> 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: 2.5h
> 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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