See
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/395/display/redirect?page=changes>
Changes:
[huangry] Include user distritribution into metric-dedicated validate runner
test.
[huangry] update inline comment.
[huangry] To allow only assert on committed metrics, bypassing the attempted
ones.
[huangry] Use distribution matcher for testing.
[github] [BEAM-5605, BEAM-2939] Add support for FnApiDoFnRunner to handle split
------------------------------------------
[...truncated 5.54 MB...]
"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$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "assert_that/Unkey.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s19"
},
"serialized_fn": "ref_AppliedPTransform_assert_that/Unkey_29",
"user_name": "assert_that/Unkey"
}
},
{
"kind": "ParallelDo",
"name": "s21",
"properties": {
"display_data": [
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
"type": "STRING",
"value": "_equal"
},
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "CallableWrapperDoFn",
"type": "STRING",
"value": "apache_beam.transforms.core.CallableWrapperDoFn"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$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"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
createTime: u'2020-04-17T02:28:36.174033Z'
currentStateTime: u'1970-01-01T00:00:00Z'
id: u'2020-04-16_19_28_34-9239448015053172588'
location: u'us-central1'
name: u'beamapp-jenkins-0417022818-893515'
projectId: u'apache-beam-testing'
stageStates: []
startTime: u'2020-04-17T02:28:36.174033Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2020-04-16_19_28_34-9239448015053172588]
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_34-9239448015053172588?project=apache-beam-testing
apache_beam.runners.dataflow.test_dataflow_runner: WARNING: Waiting
indefinitely for streaming job.
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2020-04-16_19_28_34-9239448015053172588 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:34.678Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-04-16_19_28_34-9239448015053172588.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:34.678Z:
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine.
Workers will scale between 1 and 100 unless maxNumWorkers is specified.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:34.678Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-04-16_19_28_34-9239448015053172588. The number of workers will be between
1 and 100.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:47.289Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:48.200Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:48.806Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:48.847Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:48.934Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:48.969Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
assert_that/Group/GroupByKey: GroupByKey not followed by a combiner.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.003Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not
followed by a combiner.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.043Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.067Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.176Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.293Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.367Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.399Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.434Z:
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
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.468Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.494Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.532Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.568Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.601Z:
JOB_MESSAGE_DETAILED: Fusing consumer Input/Map(decode) into
Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.639Z:
JOB_MESSAGE_DETAILED: Fusing consumer ApplyPardo into Input/Map(decode)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.665Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
ApplyPardo
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.707Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.743Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.776Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.809Z:
JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/Map(_merge_tagged_vals_under_key) into
assert_that/Group/GroupByKey/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.849Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into
assert_that/Group/Map(_merge_tagged_vals_under_key)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.883Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.917Z:
JOB_MESSAGE_DETAILED: Fusing consumer Input/FlatMap(<lambda at core.py:2714>)
into Input/Impulse
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.950Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at
core.py:2714>) into assert_that/Create/Impulse
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:49.982Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into
assert_that/Create/FlatMap(<lambda at core.py:2714>)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:50.015Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:50.044Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/AddRandomKeys into Input/FlatMap(<lambda at
core.py:2714>)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:50.070Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Input/MaybeReshuffle/Reshuffle/AddRandomKeys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:50.101Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:50.151Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:50.192Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:50.225Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:50.258Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:55.712Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:55.746Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:28:55.790Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:29:19.296Z:
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
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:29:23.464Z:
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.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:30:04.636Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:30:04.667Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:34:51.788Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:36:18.733Z:
JOB_MESSAGE_DETAILED: Cleaning up.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:36:18.811Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:36:18.838Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:36:18.887Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:36:18.917Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:37:42.311Z:
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.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:37:42.368Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T02:37:42.411Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2020-04-16_19_28_34-9239448015053172588 is in state JOB_STATE_DONE
--------------------- >> 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 27 tests in 2305.416s
FAILED (failures=1)
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_34-17654456023628070025?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_38_43-4976672312216775877?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_48_12-15094952799748405117?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_57_51-17135452670046028724?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_34-9239448015053172588?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_38_10-9939155222175238128?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_47_34-17007868593133970059?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_38-11912303324157728662?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_37_31-15761792851776899422?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_46_14-9494009568493359817?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_36-13428493987028483532?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_37_32-4932423871485774680?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_47_10-7246760359815530459?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_36-10010433565133779332?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_37_29-13294088798474861139?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_47_23-11121272797002009267?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_34-17118084232286783079?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_38_05-12454605339012071437?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_48_07-10614292818568658255?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_36-11040514817028919459?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_41_50-16000928446760925737?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_28_37-8530416453933091674?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_37_43-12872718063475897120?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-16_19_46_57-12105492488222424266?project=apache-beam-testing
> Task :sdks:python:test-suites:dataflow:py2:validatesRunnerStreamingTests
> FAILED
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: 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 18m 31s
64 actionable tasks: 46 executed, 18 from cache
Publishing build scan...
https://gradle.com/s/lg65nkdoi5hvo
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]
