You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "Kenneth Knowles (Jira)" <ji...@apache.org> on 2021/05/15 18:02:02 UTC
[jira] [Updated] (BEAM-7798) After changes in type inference,
apache_beam.io.gcp.bigquery_io_read_it_test.BigqueryIOReadIT.test_bigquery_read_1M_python
is failing in Python 3.5 postcommits
[ https://issues.apache.org/jira/browse/BEAM-7798?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kenneth Knowles updated BEAM-7798:
----------------------------------
Resolution: Fixed
Status: Resolved (was: Resolved)
Hello! Due to a bug in our Jira configuration, this issue had status:Resolved but resolution:Unresolved.
I am bulk editing these issues to have resolution:Fixed
If a different resolution is appropriate, please change it. To do this, click the "Resolve" button (you can do this even for closed issues) and set the Resolution field to the right value.
> After changes in type inference, apache_beam.io.gcp.bigquery_io_read_it_test.BigqueryIOReadIT.test_bigquery_read_1M_python is failing in Python 3.5 postcommits
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: BEAM-7798
> URL: https://issues.apache.org/jira/browse/BEAM-7798
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Valentyn Tymofieiev
> Priority: P1
> Labels: beam-fixit
> Time Spent: 4h 10m
> Remaining Estimate: 0h
>
> {noformat}
> Error Message
> Tuple[t0, t1, ...]: each t must be a type. Got Any.
> Stacktrace
> Traceback (most recent call last):
> File "/usr/lib/python3.5/unittest/case.py", line 58, in testPartExecutor
> yield
> File "/usr/lib/python3.5/unittest/case.py", line 600, in run
> testMethod()
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/io/gcp/bigquery_io_read_it_test.py", line 58, in test_bigquery_read_1M_python
> self.run_bigquery_io_read_pipeline('1M')
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/io/gcp/bigquery_io_read_it_test.py", line 54, in run_bigquery_io_read_pipeline
> **extra_opts))
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/io/gcp/bigquery_io_read_pipeline.py", line 74, in run
> p.run()
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/testing/test_pipeline.py", line 107, in run
> else test_runner_api))
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 406, in run
> self._options).run(False)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 419, in run
> return self.runner.run_pipeline(self, self._options)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/runners/direct/test_direct_runner.py", line 43, in run_pipeline
> self.result = super(TestDirectRunner, self).run_pipeline(pipeline, options)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/runners/direct/direct_runner.py", line 129, in run_pipeline
> return runner.run_pipeline(pipeline, options)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/runners/direct/direct_runner.py", line 355, in run_pipeline
> pipeline.replace_all(_get_transform_overrides(options))
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 389, in replace_all
> self._replace(override)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 300, in _replace
> self.visit(TransformUpdater(self))
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 447, in visit
> self._root_transform().visit(visitor, self, visited)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 824, in visit
> part.visit(visitor, pipeline, visited)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 824, in visit
> part.visit(visitor, pipeline, visited)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 824, in visit
> part.visit(visitor, pipeline, visited)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 822, in visit
> visitor.enter_composite_transform(self)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 295, in enter_composite_transform
> self._replace_if_needed(transform_node)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 264, in _replace_if_needed
> new_output = replacement_transform.expand(input_node)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/runners/direct/helper_transforms.py", line 51, in expand
> | beam.ParDo(FinishCombine(self._combine_fn)))
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pvalue.py", line 111, in __or__
> return self.pipeline.apply(ptransform, self)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/pipeline.py", line 514, in apply
> transform.type_check_inputs(pvalueish)
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/transforms/ptransform.py", line 758, in type_check_inputs
> type_hints = self.get_type_hints().input_types
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/typehints/decorators.py", line 213, in get_type_hints
> .with_defaults(self.default_type_hints())
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/transforms/core.py", line 1068, in default_type_hints
> return self.fn.get_type_hints()
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/typehints/decorators.py", line 213, in get_type_hints
> .with_defaults(self.default_type_hints())
> File "/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python35_PR/src/sdks/python/apache_beam/runners/direct/helper_transforms.py", line 81, in default_type_hints
> args = (typing.Tuple[K, args[0]],) + args[1:]
> File "/usr/lib/python3.5/typing.py", line 710, in __getitem__
> parameters = tuple(_type_check(p, msg) for p in parameters)
> File "/usr/lib/python3.5/typing.py", line 710, in <genexpr>
> parameters = tuple(_type_check(p, msg) for p in parameters)
> File "/usr/lib/python3.5/typing.py", line 312, in _type_check
> raise TypeError(msg + " Got %.100r." % (arg,))
> TypeError: Tuple[t0, t1, ...]: each t must be a type. Got Any.
> {noformat}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)