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ASF GitHub Bot logged work on BEAM-6522: ---------------------------------------- Author: ASF GitHub Bot Created on: 12/Feb/20 21:02 Start Date: 12/Feb/20 21:02 Worklog Time Spent: 10m Work Description: tvalentyn commented on issue #10838: [BEAM-6522] [BEAM-7455] Unskip Avro IO tests that are now passing. URL: https://github.com/apache/beam/pull/10838#issuecomment-585415828 Run PythonLint PreCommit ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 386230) Time Spent: 9h 40m (was: 9.5h) > Dill fails to pickle avro.RecordSchema classes on Python 3. > ------------------------------------------------------------ > > 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: Valentyn Tymofieiev > Priority: Major > Fix For: 2.16.0 > > Time Spent: 9h 40m > 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} -- This message was sent by Atlassian Jira (v8.3.4#803005)