See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1248/display/redirect>
Changes:
------------------------------------------
[...truncated 5.89 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2020-11-04T13:00:08.504661Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2020-11-04_05_00_07-10447218934984339692'
location: 'us-central1'
name: 'beamapp-jenkins-1104125959-736181'
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stageStates: []
startTime: '2020-11-04T13:00:08.504661Z'
steps: []
tempFiles: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2020-11-04_05_00_07-10447218934984339692]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2020-11-04_05_00_07-10447218934984339692
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-04_05_00_07-10447218934984339692?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-04_05_00_07-10447218934984339692?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
2020-11-04_05_00_07-10447218934984339692 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:07.417Z:
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:2020-11-04T13:00:07.417Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-11-04_05_00_07-10447218934984339692. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:07.417Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-11-04_05_00_07-10447218934984339692.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:11.529Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.188Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.227Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.334Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.368Z:
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:2020-11-04T13:00:12.399Z:
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:2020-11-04T13:00:12.437Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.467Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.599Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.695Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.739Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.780Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.812Z:
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:2020-11-04T13:00:12.845Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.877Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2977>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.909Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at
core.py:2977>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.941Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into
assert_that/Create/FlatMap(<lambda at core.py:2977>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:12.990Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.070Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at
core.py:2977>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.100Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.133Z:
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:2020-11-04T13:00:13.171Z:
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:2020-11-04T13:00:13.203Z:
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:2020-11-04T13:00:13.235Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.268Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.299Z:
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.334Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.367Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.399Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.431Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.463Z:
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:2020-11-04T13:00:13.494Z:
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:2020-11-04T13:00:13.525Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.565Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.607Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.639Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:13.672Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:14.786Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:14.820Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:14.864Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:00:44.670Z:
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:2020-11-04T13:00:47.047Z:
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:2020-11-04T13:01:20.747Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:01:20.787Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:07:16.211Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:07:16.267Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:07:16.305Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:07:16.341Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:07:16.389Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:10:00.151Z:
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:2020-11-04T13:10:00.207Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-04T13:10:00.292Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-11-04_05_00_07-10447218934984339692 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_dofn_lifecycle
(apache_beam.transforms.dofn_lifecycle_test.DoFnLifecycleTest) ... ok
test_flatten_one_single_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ...
ok
test_flatten_a_flattened_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_pcollections
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_multiple_pcollections_having_multiple_consumers
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_multiple_empty_outputs
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_par_do_with_multiple_outputs_and_using_return
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_par_do_with_multiple_outputs_and_using_yield
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest)
... ok
test_as_list_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ...
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_default_value_singleton_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_flattened_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_without_unique_labels
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_empty_singleton_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_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok
----------------------------------------------------------------------
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 2139.666s
OK
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: 146
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py38:validatesRunnerBatchTests'.
> 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 9m 55s
65 actionable tasks: 43 executed, 22 from cache
Publishing build scan...
https://gradle.com/s/f5d5tapblbdg2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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