See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1613/display/redirect?page=changes>
Changes:
[noreply] [BEAM-11531] Allow pandas <1.3.0 (#13681)
------------------------------------------
[...truncated 7.07 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2021-02-03T19:11:51.478695Z'
currentStateTime: '1970-01-01T00:00:00Z'
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startTime: '2021-02-03T19:11:51.478695Z'
steps: []
tempFiles: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2021-02-03_11_11_50-11689719219717202040]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2021-02-03_11_11_50-11689719219717202040
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_11_11_50-11689719219717202040?project=apache-beam-testing
WARNING:apache_beam.runners.dataflow.test_dataflow_runner:Waiting indefinitely
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.650Z:
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:2021-02-03T19:11:59.694Z:
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.731Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:52.582Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2021-02-03_11_11_50-11689719219717202040. The number of workers will be between
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:52.613Z:
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2021-02-03_11_11_50-11689719219717202040.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:58.617Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.148Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.373Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.445Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.485Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.514Z:
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:2021-02-03T19:11:59.555Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.586Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.671Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.797Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.834Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.871Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.934Z:
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:2021-02-03T19:11:59.957Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:11:59.997Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2957>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.032Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at
core.py:2957>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.077Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into
assert_that/Create/FlatMap(<lambda at core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.113Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.139Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at
core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.174Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.217Z:
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:2021-02-03T19:12:00.295Z:
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:2021-02-03T19:12:00.332Z:
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:2021-02-03T19:12:00.375Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.412Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.448Z:
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.472Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.508Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.535Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.564Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.590Z:
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:2021-02-03T19:12:00.633Z:
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:2021-02-03T19:12:00.670Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.735Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.767Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.798Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:00.831Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:02.034Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:02.075Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:02.120Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:12:25.206Z:
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:2021-02-03T19:13:28.152Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:13:29.930Z:
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:2021-02-03T19:13:59.213Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:18:03.048Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:18:03.199Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:18:03.237Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:18:03.309Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:18:03.348Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:18:58.908Z:
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:2021-02-03T19:18:58.967Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-03T19:18:59.008Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2021-02-03_11_11_50-11689719219717202040 is in state JOB_STATE_DONE
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_41_53-11200803618067592290?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_49_09-13765320787489101367?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_58_23-9399992872787120089?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_41_55-12661242432433933157?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_48_39-3990786189886987353?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_56_00-16794105143135409789?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_11_03_36-14278837265866363973?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_41_56-5236781059309626233?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_49_26-17862082113555952581?project=apache-beam-testing
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Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_49_20-15992270888196701157?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_56_46-12395960821861262043?project=apache-beam-testing
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https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_41_54-988219888622610341?project=apache-beam-testing
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https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_50_12-15090837933768924485?project=apache-beam-testing
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https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_57_42-9296465584478166490?project=apache-beam-testing
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https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-03_10_41_55-3863310686664326588?project=apache-beam-testing
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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_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ...
ok
test_flatten_one_single_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_run_packable_combine_per_key
(apache_beam.runners.portability.fn_api_runner.translations_test.TranslationsTest)
... ok
test_flatten_multiple_pcollections_having_multiple_consumers
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_a_flattened_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_pcollections
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_impulse (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_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ...
ok
test_multiple_empty_outputs
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_list_and_as_dict_side_inputs
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_list_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ...
ok
test_as_singleton_with_different_defaults
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_without_unique_labels
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_combine
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_combining_value_state
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_non_liftable_combine
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_default_value_singleton_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_empty_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_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 31 tests in 2255.246s
OK
> Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTestsV2
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/6.8/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 18m 48s
81 actionable tasks: 51 executed, 30 from cache
Publishing build scan...
https://gradle.com/s/u4sisu6b4vy2m
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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