See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1595/display/redirect?page=changes>
Changes:
[Kyle Weaver] [BEAM-11634] Give JobInvoker threads unique names.
[Kyle Weaver] [BEAM-10925] Add rule to replace Calc with BeamCalcRel for
ZetaSQL UDFs.
[noreply] [BEAM-5214] Update java quickstart (#13833)
------------------------------------------
[...truncated 6.67 MB...]
},
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2021-01-30T07:15:32.747141Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2021-01-29_23_15_31-18288965381645679057'
location: 'us-central1'
name: 'beamapp-jenkins-0130071524-133480'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2021-01-30T07:15:32.747141Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2021-01-29_23_15_31-18288965381645679057]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2021-01-29_23_15_31-18288965381645679057
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_23_15_31-18288965381645679057?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
2021-01-29_23_15_31-18288965381645679057 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:31.440Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2021-01-29_23_15_31-18288965381645679057. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:31.440Z:
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:2021-01-30T07:15:31.440Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:36.209Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:36.849Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:36.884Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:36.952Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:36.988Z:
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:2021-01-30T07:15:37.021Z:
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:2021-01-30T07:15:37.057Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.088Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.186Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.297Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.333Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.386Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.436Z:
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:2021-01-30T07:15:37.466Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.502Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2957>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.543Z:
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:2021-01-30T07:15:37.580Z:
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:2021-01-30T07:15:37.610Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.646Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at
core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.678Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.711Z:
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:2021-01-30T07:15:37.748Z:
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:2021-01-30T07:15:37.771Z:
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:2021-01-30T07:15:37.805Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.831Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.864Z:
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.894Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.917Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.942Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:37.977Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:38.002Z:
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:2021-01-30T07:15:38.036Z:
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:2021-01-30T07:15:38.059Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:38.096Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:38.125Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:38.146Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:38.175Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:39.354Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:39.410Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:39.434Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:15:54.483Z:
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:2021-01-30T07:16:19.574Z:
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:oauth2client.transport:Refreshing due to a 401 (attempt 1/2)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:16:57.087Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:16:57.120Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:22:41.243Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:22:41.286Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:22:41.324Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:22:41.350Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:22:41.378Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:23:32.649Z:
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:2021-01-30T07:23:32.692Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T07:23:32.718Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2021-01-29_23_15_31-18288965381645679057 is in state JOB_STATE_DONE
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_42_07-12648771976511892575?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_50_33-14544826042294401866?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_58_57-4343334213397290735?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_23_07_11-2291283282099506771?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_23_15_31-18288965381645679057?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_42_09-4927724450701910616?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_50_05-4523696744213126076?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_58_25-2348594943407802730?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_23_06_50-5984540825357677587?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_42_08-6535702390697678343?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_50_42-1575671533752726303?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_58_57-14074606941854343902?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_42_08-8962506204822060509?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_50_31-18407308459771125016?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_23_00_18-13888147152638151486?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_42_09-12800425209611848400?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_50_35-10422839595253651456?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_58_50-15252800020664641197?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_42_07-17131675324281813985?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_50_28-47280492835836055?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_23_00_00-8187448144030007357?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_42_08-15478776009681542878?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_51_33-12043392750049001595?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_23_01_08-3528628233016597741?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_42_09-10971924818334617452?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_50_34-13960002646835368293?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-29_22_58_53-7260030381451606540?project=apache-beam-testing
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_multiple_pcollections_having_multiple_consumers
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_pcollections
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_one_single_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_a_flattened_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_undeclared_outputs (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_par_do_with_multiple_outputs_and_using_return
(apache_beam.transforms.ptransform_test.PTransformTest) ... 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_empty_singleton_side_input
(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_default_value_singleton_side_input
(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_flattened_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_iterable_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_reshuffle_preserves_timestamps
(apache_beam.transforms.util_test.ReshuffleTest) ... 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 30 tests in 2512.986s
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 23m 16s
81 actionable tasks: 51 executed, 30 from cache
Publishing build scan...
https://gradle.com/s/bgqd75v72xjle
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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