See
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/116/display/redirect?page=changes>
Changes:
[ankurgoenka] [BEAM-9485] Raise error when transform urn is not implemented
[lcwik] [BEAM-9481] fix indentation
[ankurgoenka] [BEAM-9499] Sickbay test_multi_triggered_gbk_side_input for
streaming
------------------------------------------
[...truncated 5.42 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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WARNING:apache_beam.runners.dataflow.test_dataflow_runner:Waiting indefinitely
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2020-03-13_13_24_04-4515641317461515192 is in state JOB_STATE_RUNNING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.159Z:
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.217Z:
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.246Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.275Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.309Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.334Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.402Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.484Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.526Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.556Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.587Z:
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:2020-03-13T20:24:09.613Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.633Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2643>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.660Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at
core.py:2643>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.684Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into
assert_that/Create/FlatMap(<lambda at core.py:2643>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.712Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.740Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.765Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.789Z:
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:2020-03-13T20:24:09.815Z:
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:2020-03-13T20:24:09.840Z:
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:2020-03-13T20:24:09.863Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.893Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.927Z:
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.949Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:09.974Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:10.001Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:10.024Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:10.051Z:
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:2020-03-13T20:24:10.076Z:
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:2020-03-13T20:24:10.098Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:10.131Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:10.157Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:10.178Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:10.199Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:12.469Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:12.499Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:12.525Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
test_reshuffle_preserves_timestamps
(apache_beam.transforms.util_test.ReshuffleTest) ... ok
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:24:36.013Z:
JOB_MESSAGE_WARNING: Your project already contains 100 Dataflow-created metric
descriptors and Stackdriver will not create new Dataflow custom metrics for
this job. Each unique user-defined metric name (independent of the DoFn in
which it is defined) produces a new metric descriptor. To 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:2020-03-13T20:24:36.417Z:
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:2020-03-13T20:25:21.379Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:25:21.400Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:30:11.350Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:31:13.701Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:31:13.747Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:31:13.774Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:31:13.803Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:31:13.828Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:32:07.221Z:
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:2020-03-13T20:32:07.259Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T20:32:07.288Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-03-13_13_24_04-4515641317461515192 is in state JOB_STATE_DONE
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok
----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df.xml
----------------------------------------------------------------------
XML:
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 27 tests in 2105.706s
OK
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_12_57_37-17913471206501161994?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_06_20-5853013643715833073?project=apache-beam-testing
Worker logs:
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Worker logs:
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Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_12_57_35-9677608970757006006?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_06_23-4225792011166054523?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_15_15-14936300204009527939?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_12_57_35-8967312386194438350?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_05_45-5070060796226433028?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_14_19-17144449446242364933?project=apache-beam-testing
Worker logs:
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Worker logs:
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Worker logs:
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Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_12_57_37-4141396979458015569?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_06_25-10360693872706126649?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_12_57_36-12732985436431729518?project=apache-beam-testing
Worker logs:
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Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_15_20-459286025012616842?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_12_57_34-9961559500712218109?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_06_08-15138641128754176348?project=apache-beam-testing
Worker logs:
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Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_12_57_35-718415993803198289?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_06_10-5117035324997580639?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_13_14_47-15492082154850539132?project=apache-beam-testing
FAILURE: Build failed with an exception.
* Where:
Build file
'<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/py2/build.gradle'>
line: 113
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py2: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 6.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See
https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 16m 0s
64 actionable tasks: 46 executed, 18 from cache
Publishing build scan...
https://gradle.com/s/ls4b4bxspktrs
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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