See
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/401/display/redirect?page=changes>
Changes:
[github] [BEAM-9743] Fix TFRecordCodec to try harder to read/write (#11397)
------------------------------------------
[...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'2020-04-17T22:47:27.076444Z'
currentStateTime: u'1970-01-01T00:00:00Z'
id: u'2020-04-17_15_47_24-11771482172890145430'
location: u'us-central1'
name: u'beamapp-jenkins-0417224709-425185'
projectId: u'apache-beam-testing'
stageStates: []
startTime: u'2020-04-17T22:47:27.076444Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2020-04-17_15_47_24-11771482172890145430]
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_24-11771482172890145430?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
2020-04-17_15_47_24-11771482172890145430 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:24.499Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-04-17_15_47_24-11771482172890145430.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:24.499Z:
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: 2020-04-17T22:47:24.499Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-04-17_15_47_24-11771482172890145430. The number of workers will be between
1 and 100.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:29.299Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:30.031Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:30.728Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:30.762Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:30.837Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:30.871Z:
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: 2020-04-17T22:47:30.901Z:
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: 2020-04-17T22:47:30.950Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:30.983Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.077Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.180Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.241Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.264Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.299Z:
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: 2020-04-17T22:47:31.336Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.374Z:
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: 2020-04-17T22:47:31.409Z:
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: 2020-04-17T22:47:31.449Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.473Z:
JOB_MESSAGE_DETAILED: Fusing consumer Input/Map(decode) into
Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.508Z:
JOB_MESSAGE_DETAILED: Fusing consumer ApplyPardo into Input/Map(decode)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.546Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
ApplyPardo
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.586Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.622Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.657Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.696Z:
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: 2020-04-17T22:47:31.733Z:
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: 2020-04-17T22:47:31.772Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.804Z:
JOB_MESSAGE_DETAILED: Fusing consumer Input/FlatMap(<lambda at core.py:2714>)
into Input/Impulse
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:31.837Z:
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: 2020-04-17T22:47:31.864Z:
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: 2020-04-17T22:47:31.970Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:32.007Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/AddRandomKeys into Input/FlatMap(<lambda at
core.py:2714>)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:32.045Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Input/MaybeReshuffle/Reshuffle/AddRandomKeys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:32.087Z:
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: 2020-04-17T22:47:32.142Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:32.174Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:32.209Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:32.245Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:47:55.048Z:
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: 2020-04-17T22:48:01.688Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:48:01.719Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:48:01.757Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:48:26.545Z:
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: 2020-04-17T22:49:21.631Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:49:21.666Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:53:33.464Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:55:49.239Z:
JOB_MESSAGE_DETAILED: Cleaning up.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:55:49.285Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:55:49.306Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:55:49.347Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:55:49.378Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:56:55.447Z:
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: 2020-04-17T22:56:55.488Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-17T22:56:55.517Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2020-04-17_15_47_24-11771482172890145430 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 2333.396s
FAILED (failures=1)
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_26-18075400885551010773?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_56_40-8346240492732030856?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_16_06_46-9946907105696605550?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_16_17_15-7074827420178874484?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_24-11771482172890145430?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_57_23-11197018525512378740?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_16_06_32-492849650401630486?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_25-17834560925327943166?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_55_13-9789149476406604292?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_16_05_17-16270731439531341057?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_26-3465375764980496946?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_57_30-14692459518358560534?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_25-14589787279218605973?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_56_35-11508944607229558165?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_16_05_08-14291423235532014732?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_27-13900844627669150493?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_56_49-569208438358569661?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_16_06_38-12833725562072241838?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_25-17959000860773541674?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_56_23-4727199639629393375?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_16_05_01-9294516077110688628?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_47_24-10943838838754435791?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_15_56_40-9506679638469114802?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_16_06_35-8160908232091641085?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 19m 10s
64 actionable tasks: 48 executed, 16 from cache
Publishing build scan...
https://gradle.com/s/xakawvtqnthaa
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]
