See
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/108/display/redirect?page=changes>
Changes:
[heejong] [BEAM-9056] Staging artifacts from environment
------------------------------------------
[...truncated 5.43 MB...]
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
"type": "STRING",
"value": "_equal"
},
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "CallableWrapperDoFn",
"type": "STRING",
"value": "apache_beam.transforms.core.CallableWrapperDoFn"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
},
{
"@type":
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "assert_that/Match.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s20"
},
"serialized_fn": "ref_AppliedPTransform_assert_that/Match_30",
"user_name": "assert_that/Match"
}
}
],
"type": "JOB_TYPE_STREAMING"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: u'2020-03-12T22:23:59.622906Z'
currentStateTime: u'1970-01-01T00:00:00Z'
id: u'2020-03-12_15_23_58-10019505726393270602'
location: u'us-central1'
name: u'beamapp-jenkins-0312222342-176035'
projectId: u'apache-beam-testing'
stageStates: []
startTime: u'2020-03-12T22:23:59.622906Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2020-03-12_15_23_58-10019505726393270602]
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_23_58-10019505726393270602?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
2020-03-12_15_23_58-10019505726393270602 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:23:58.575Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-03-12_15_23_58-10019505726393270602. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:23:58.575Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-03-12_15_23_58-10019505726393270602.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:23:58.575Z:
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:2020-03-12T22:24:01.735Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:02.565Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.171Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.237Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.332Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.369Z:
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:2020-03-12T22:24:03.404Z:
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:2020-03-12T22:24:03.449Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.479Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.556Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.657Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.712Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.748Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.783Z:
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:2020-03-12T22:24:03.814Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.854Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2643>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.891Z:
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:2020-03-12T22:24:03.914Z:
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:2020-03-12T22:24:03.948Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:03.985Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at
core.py:2643>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.025Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.047Z:
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:2020-03-12T22:24:04.076Z:
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:2020-03-12T22:24:04.113Z:
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:2020-03-12T22:24:04.147Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.183Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.208Z:
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.236Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.306Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.330Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.365Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.400Z:
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:2020-03-12T22:24:04.437Z:
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:2020-03-12T22:24:04.474Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.511Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.540Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.575Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:04.601Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:06.818Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:06.854Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:06.878Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:24:27Z:
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:2020-03-12T22:24:36.744Z:
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:2020-03-12T22:25:13.764Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:25:13.851Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:30:05.865Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:31:13.783Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:31:13.848Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:31:13.879Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:31:13.920Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:31:14.003Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:32:15.390Z:
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:2020-03-12T22:32:15.432Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-12T22:32:15.466Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-03-12_15_23_58-10019505726393270602 is in state JOB_STATE_DONE
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok
======================================================================
ERROR: Test a GBK sideinput, with multiple triggering.
----------------------------------------------------------------------
Traceback (most recent call last):
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/transforms/sideinputs_test.py";,>
line 406, in test_multi_triggered_gbk_side_input
p.run()
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,>
line 112, in run
False if self.not_use_test_runner_api else test_runner_api))
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 495, in run
self._options).run(False)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 508, in run
return self.runner.run_pipeline(self, self._options)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py";,>
line 57, in run_pipeline
self).run_pipeline(pipeline, options)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
line 536, in run_pipeline
self.visit_transforms(pipeline, options)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/runner.py";,>
line 224, in visit_transforms
pipeline.visit(RunVisitor(self))
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 545, in visit
self._root_transform().visit(visitor, self, visited)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 1033, in visit
part.visit(visitor, pipeline, visited)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 1036, in visit
visitor.visit_transform(self)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/runner.py";,>
line 219, in visit_transform
self.runner.run_transform(transform_node, options)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/runner.py";,>
line 246, in run_transform
return m(transform_node, options)
File
"<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
line 957, in run_ParDo
PropertyNames.STEP_NAME: input_step.proto.name,
AttributeError: 'list' object has no attribute 'proto'
-------------------- >> begin captured logging << --------------------
apache_beam.options.pipeline_options: WARNING: --region not set; will default
to us-central1. Future releases of Beam will require the user to set --region
explicitly, or else have a default set via the gcloud tool.
https://cloud.google.com/compute/docs/regions-zones
apache_beam.runners.runner: ERROR: Error while visiting Main windowInto
--------------------- >> end captured logging << ---------------------
----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df.xml
----------------------------------------------------------------------
XML:
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 28 tests in 2130.669s
FAILED (errors=1)
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_14_57_17-7897042910184908124?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_05_52-3516119088596170288?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_15_28-4588500856721227273?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_23_58-10019505726393270602?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_14_57_15-10464028231429652528?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_05_52-5737714843483338848?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_14_32-16725800606445571395?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_14_57_21-10647577396764848844?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_05_17-7210963771131842894?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_14_11-9869699105545791881?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_14_57_17-16818514647597754152?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_05_55-11992263056963081525?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_14_34-18424612428777716926?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_14_57_14-5144566588947960640?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_06_44-15332857810764675443?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_15_22-3399322326417345208?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_14_57_17-831416405062348972?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_06_58-10404457101705634125?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_14_57_19-5460091146790276452?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_05_55-14700843611989158231?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_14_36-11290299696766060289?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_14_57_15-3268168189573342023?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_05_48-12033963527258663028?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-12_15_14_23-1905446445096141320?project=apache-beam-testing
> Task :sdks:python:test-suites:dataflow:py2:validatesRunnerStreamingTests
> FAILED
FAILURE: Build completed with 2 failures.
1: Task 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.
==============================================================================
2: Task 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: 142
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py2: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 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 5s
64 actionable tasks: 47 executed, 17 from cache
Publishing build scan...
https://gradle.com/s/mp2i65bmisuvi
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
