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https://issues.apache.org/jira/browse/BEAM-6522?focusedWorklogId=218150&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-218150
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ASF GitHub Bot logged work on BEAM-6522:
----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Mar/19 17:07
Start Date: 25/Mar/19 17:07
Worklog Time Spent: 10m
Work Description: fredo838 commented on pull request #8130: [BEAM-6522]
Fix fastavro on Python 3
URL: https://github.com/apache/beam/pull/8130
This is is part of a series of PRs with goal to make Apache Beam PY3
compatible. The proposal with the outlined approach has been documented here:
https://s.apache.org/beam-python-3.
This PR fixes support for avro by deprecating avro in favor of fastavro on
python 3. It Avro and fastavro are both supported on python2, but only fastavro
is supported on python3.
CC: @Juta @RobbeSneyders
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Issue Time Tracking
-------------------
Worklog Id: (was: 218150)
Time Spent: 10m
Remaining Estimate: 0h
> Python 3 port avroio module
> ---------------------------
>
> Key: BEAM-6522
> URL: https://issues.apache.org/jira/browse/BEAM-6522
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-py-core
> Reporter: Robbe
> Assignee: Robbe
> Priority: Major
> Labels: triaged
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The avroio module still has 4 failing tests. This is actually 2 times the
> same 2 tests, both for Avro and Fastavro.
> *apache_beam.io.avroio_test.TestAvro.test_sink_transform*
> *apache_beam.io.avroio_test.TestFastAvro.test_sink_transform*
> fail with:
> {code:java}
> Traceback (most recent call last):
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/io/avroio_test.py",
> line 432, in test_sink_transform
> | avroio.WriteToAvro(path, self.SCHEMA, use_fastavro=self.use_fastavro)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/pvalue.py", line
> 112, in __or__
> return self.pipeline.apply(ptransform, self)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/pipeline.py", line
> 515, in apply
> pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/runners/runner.py",
> line 193, in apply
> return m(transform, input, options)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/runners/runner.py",
> line 199, in apply_PTransform
> return transform.expand(input)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/io/avroio.py", line
> 528, in expand
> return pcoll | beam.io.iobase.Write(self._sink)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/pvalue.py", line
> 112, in __or__
> return self.pipeline.apply(ptransform, self)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/pipeline.py", line
> 515, in apply
> pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/runners/runner.py",
> line 193, in apply
> return m(transform, input, options)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/runners/runner.py",
> line 199, in apply_PTransform
> return transform.expand(input)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/io/iobase.py", line
> 960, in expand
> return pcoll | WriteImpl(self.sink)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/pvalue.py", line
> 112, in __or__
> return self.pipeline.apply(ptransform, self)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/pipeline.py", line
> 515, in apply
> pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/runners/runner.py",
> line 193, in apply
> return m(transform, input, options)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/runners/runner.py",
> line 199, in apply_PTransform
> return transform.expand(input)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/io/iobase.py", line
> 979, in expand
> lambda _, sink: sink.initialize_write(), self.sink)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/transforms/core.py",
> line 1103, in Map
> pardo = FlatMap(wrapper, *args, **kwargs)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/transforms/core.py",
> line 1054, in FlatMap
> pardo = ParDo(CallableWrapperDoFn(fn), *args, **kwargs)
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/transforms/core.py",
> line 864, in __init__
> super(ParDo, self).__init__(fn, *args, **kwargs)
> File
> "/home/robbe/workspace/beam/sdks/python/apache_beam/transforms/ptransform.py",
> line 646, in __init__
> self.args = pickler.loads(pickler.dumps(self.args))
> File
> "/home/robbe/workspace/beam/sdks/python/apache_beam/internal/pickler.py",
> line 247, in loads
> return dill.loads(s)
> File
> "/home/robbe/workspace/beam/sdks/python/.eggs/dill-0.2.9-py3.5.egg/dill/_dill.py",
> line 317, in loads
> return load(file, ignore)
> File
> "/home/robbe/workspace/beam/sdks/python/.eggs/dill-0.2.9-py3.5.egg/dill/_dill.py",
> line 305, in load
> obj = pik.load()
> File
> "/home/robbe/workspace/beam/sdks/python/target/.tox/py3/lib/python3.5/site-packages/avro/schema.py",
> line 173, in __setitem__
> % (key, value, self))
> Exception: Attempting to map key 'favorite_color' to value <avro.schema.Field
> object at 0x7f8f72d0d0b8> in ImmutableDict {}
> {code}
>
> *apache_beam.io.avroio_test.TestAvro.test_split_points*
> *apache_beam.io.avroio_test.TestFastAvro.test_split_points*
> fail with:
>
> {code:java}
> Traceback (most recent call last):
> File "/home/robbe/workspace/beam/sdks/python/apache_beam/io/avroio_test.py",
> line 308, in test_split_points
> self.assertEquals(split_points_report[-10:], [(2, 1)] * 10)
> AssertionError: Lists differ: [(10, 1), (10, 1), (10, 1), (10, 1), (10, 1[42
> chars], 1)] != [(2, 1), (2, 1), (2, 1), (2, 1), (2, 1), (2[32 chars], 1)]
> First differing element 0:
> (10, 1)
> (2, 1)
> + [(2, 1), (2, 1), (2, 1), (2, 1), (2, 1), (2, 1), (2, 1), (2, 1), (2, 1),
> (2, 1)]
> - [(10, 1),
> - (10, 1),
> - (10, 1),
> - (10, 1),
> - (10, 1),
> - (10, 1),
> - (10, 1),
> - (10, 1),
> - (10, 1),
> - (10, 1)]
> {code}
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