See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1112/display/redirect>
Changes:
------------------------------------------
[...truncated 5.73 MB...]
{
"encoding": {
"@type": "kind:windowed_value",
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{
"@type":
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},
{
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],
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"output_name": "None",
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2020-10-01T07:04:51.057230Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2020-10-01_00_04_49-1003043712046761050'
location: 'us-central1'
name: 'beamapp-jenkins-1001070442-644178'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2020-10-01T07:04:51.057230Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2020-10-01_00_04_49-1003043712046761050]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2020-10-01_00_04_49-1003043712046761050
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-01_00_04_49-1003043712046761050?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-01_00_04_49-1003043712046761050?project=apache-beam-testing
WARNING:apache_beam.runners.dataflow.test_dataflow_runner:Waiting indefinitely
for streaming job.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-10-01_00_04_49-1003043712046761050 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:03.907Z:
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on
low average worker CPU utilization, and the pipeline having sufficiently low
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:03.984Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:04.023Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:49.782Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-10-01_00_04_49-1003043712046761050. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:49.782Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-10-01_00_04_49-1003043712046761050.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:49.782Z:
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine.
Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:56.708Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.473Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.507Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.596Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.630Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
assert_that/Group/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.658Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.697Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.733Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.827Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.926Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:57.967Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.001Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.034Z:
JOB_MESSAGE_DETAILED: Fusing unzipped copy of
assert_that/Group/GroupByKey/WriteStream, through flatten
assert_that/Group/Flatten, into producer assert_that/Group/pair_with_0
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.068Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.138Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.258Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.345Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.432Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.489Z:
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.577Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.623Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.653Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.676Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.710Z:
JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/Map(_merge_tagged_vals_under_key) into
assert_that/Group/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.742Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into
assert_that/Group/Map(_merge_tagged_vals_under_key)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.779Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.811Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2945>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.843Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at
core.py:2945>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.886Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into
assert_that/Create/FlatMap(<lambda at core.py:2945>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.909Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.941Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at
core.py:2945>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.963Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:58.994Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:59.030Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:59.133Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:59.158Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:04:59.189Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:00.355Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:00.386Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:00.426Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:02.561Z:
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on
low average worker CPU utilization, and the pipeline having sufficiently low
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:02.671Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:02.706Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-09-30_23_56_06-2421418577311800528 is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-09-30_23_56_01-5487124692336952466 is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:04.939Z:
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on
low average worker CPU utilization, and the pipeline having sufficiently low
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:05.011Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:05.049Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-09-30_23_55_55-11893419559337777657 is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:18.907Z:
JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric
descriptors, so new user metrics of the form custom.googleapis.com/* will not
be created. However, all user metrics are also available in the metric
dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics,
you can delete old / unused metric descriptors. See
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:05:24.187Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that
the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:06:07.701Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:06:07.730Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:13:01.601Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:13:01.651Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:13:01.680Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:13:01.728Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:13:01.756Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:13:53.782Z:
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on
low average worker CPU utilization, and the pipeline having sufficiently low
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:13:53.826Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T07:13:53.862Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-10-01_00_04_49-1003043712046761050 is in state JOB_STATE_DONE
test_gbk_many_values
(apache_beam.runners.portability.fn_api_runner.fn_runner_test.FnApiBasedStateBackedCoderTest)
... ok
Test TimestampCombiner with EARLIEST. ... ok
Test TimestampCombiner with LATEST. ... ok
Runs streaming Dataflow job and verifies that user metrics are reported ... ok
test_multiple_empty_outputs
(apache_beam.transforms.ptransform_test.PTransformTest) ... ERROR
test_flatten_pcollections
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ...
ok
test_flatten_multiple_pcollections_having_multiple_consumers
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_dofn_lifecycle
(apache_beam.transforms.dofn_lifecycle_test.DoFnLifecycleTest) ... ok
test_flatten_a_flattened_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_one_single_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_par_do_with_multiple_outputs_and_using_yield
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ...
ok
test_as_list_and_as_dict_side_inputs
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_with_different_defaults
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_list_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ...
ok
test_par_do_with_multiple_outputs_and_using_return
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest)
... ok
test_as_singleton_without_unique_labels
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_default_value_singleton_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_flattened_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_reshuffle_preserves_timestamps
(apache_beam.transforms.util_test.ReshuffleTest) ... ok
test_iterable_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_empty_singleton_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok
======================================================================
ERROR: test_multiple_empty_outputs
(apache_beam.transforms.ptransform_test.PTransformTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/transforms/ptransform_test.py";,>
line 283, in test_multiple_empty_outputs
assert_that(results.even, equal_to([]), label='assert:even')
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 568, in __exit__
self.result = self.run()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,>
line 110, in run
result = super(TestPipeline, self).run(
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 514, in run
return Pipeline.from_runner_api(
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 547, in run
return self.runner.run_pipeline(self, self._options)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py";,>
line 56, in run_pipeline
self.result = super(TestDataflowRunner,
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
line 493, in run_pipeline
artifacts=environments.python_sdk_dependencies(options)))
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/transforms/environments.py";,>
line 649, in python_sdk_dependencies
staged_name in stager.Stager.create_job_resources(
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/portability/stager.py";,>
line 177, in create_job_resources
(
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/utils/retry.py";,>
line 242, in wrapper
return fun(*args, **kwargs)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/portability/stager.py";,>
line 571, in _populate_requirements_cache
processes.check_output(cmd_args, stderr=processes.STDOUT)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/utils/processes.py";,>
line 96, in check_output
raise RuntimeError( \
RuntimeError: Full traceback: Traceback (most recent call last):
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/utils/processes.py";,>
line 91, in check_output
out = subprocess.check_output(*args, **kwargs)
File "/usr/lib/python3.8/subprocess.py", line 411, in check_output
return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
File "/usr/lib/python3.8/subprocess.py", line 512, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command
'['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/bin/python',>
'-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r',
'postcommit_requirements.txt', '--exists-action', 'i', '--no-binary', ':all:']'
returned non-zero exit status 1.
Pip install failed for package: -r
Output from execution of subprocess: b'Collecting pyhamcrest!=1.10.0,<2.0.0\n
File was already downloaded
/tmp/dataflow-requirements-cache/PyHamcrest-1.10.1.tar.gz\nCollecting
mock<3.0.0\n File was already downloaded
/tmp/dataflow-requirements-cache/mock-2.0.0.tar.gz\nCollecting
parameterized<0.8.0,>=0.7.1\n File was already downloaded
/tmp/dataflow-requirements-cache/parameterized-0.7.4.tar.gz\nCollecting six\n
File was already downloaded
/tmp/dataflow-requirements-cache/six-1.15.0.tar.gz\n ERROR: Command errored
out with exit status 1:\n command:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/bin/python>
-c \'import sys, setuptools, tokenize; sys.argv[0] =
\'"\'"\'/tmp/pip-download-203i4bo2/six/setup.py\'"\'"\';
__file__=\'"\'"\'/tmp/pip-download-203i4bo2/six/setup.py\'"\'"\';f=getattr(tokenize,
\'"\'"\'open\'"\'"\',
open)(__file__);code=f.read().replace(\'"\'"\'\\r\\n\'"\'"\',
\'"\'"\'\\n\'"\'"\');f.close();exec(compile(code, __file__,
\'"\'"\'exec\'"\'"\'))\' egg_info --egg-base /tmp/pip-pip-egg-info-0tmna738\n
cwd: /tmp/pip-download-203i4bo2/six/\n Complete output (5 lines):\n
Traceback (most recent call last):\n File "<string>", line 1, in
<module>\n File
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/lib/python3.8/tokenize.py";,>
line 392, in open\n buffer = _builtin_open(filename, \'rb\')\n
FileNotFoundError: [Errno 2] No such file or directory:
\'/tmp/pip-download-203i4bo2/six/setup.py\'\n
----------------------------------------\nERROR: Command errored out with exit
status 1: python setup.py egg_info Check the logs for full command output.\n'
-------------------- >> begin captured logging << --------------------
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
root: DEBUG: Unhandled type_constraint: Union[]
apache_beam.runners.portability.stager: INFO: Executing command:
['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/bin/python',>
'-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r',
'postcommit_requirements.txt', '--exists-action', 'i', '--no-binary', ':all:']
--------------------- >> end captured logging << ---------------------
----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df-py38.xml
----------------------------------------------------------------------
XML:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 27 tests in 2113.260s
FAILED (errors=1)
> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests
> FAILED
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 175
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests'.
> Process 'command 'sh'' finished with non-zero exit value 1
* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug
option to get more log output. Run with --scan to get full insights.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with
Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See
https://docs.gradle.org/6.6.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 13m 45s
65 actionable tasks: 43 executed, 22 from cache
Publishing build scan...
https://gradle.com/s/6nzzwsy4vmwa2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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