See
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/123/display/redirect>
Changes:
------------------------------------------
[...truncated 5.44 MB...]
"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$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "assert_that/Unkey.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s19"
},
"serialized_fn": "ref_AppliedPTransform_assert_that/Unkey_29",
"user_name": "assert_that/Unkey"
}
},
{
"kind": "ParallelDo",
"name": "s21",
"properties": {
"display_data": [
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
"type": "STRING",
"value": "_equal"
},
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "CallableWrapperDoFn",
"type": "STRING",
"value": "apache_beam.transforms.core.CallableWrapperDoFn"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$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"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: u'2020-03-14T19:15:48.989478Z'
currentStateTime: u'1970-01-01T00:00:00Z'
id: u'2020-03-14_12_15_41-8912082830664365753'
location: u'us-central1'
name: u'beamapp-jenkins-0314191526-628267'
projectId: u'apache-beam-testing'
stageStates: []
startTime: u'2020-03-14T19:15:48.989478Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2020-03-14_12_15_41-8912082830664365753]
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_15_41-8912082830664365753?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
2020-03-14_12_15_41-8912082830664365753 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:41.667Z:
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:2020-03-14T19:15:41.667Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-03-14_12_15_41-8912082830664365753.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:41.667Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-03-14_12_15_41-8912082830664365753. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:51.655Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:52.454Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.019Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.059Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.120Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.159Z:
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:2020-03-14T19:15:53.190Z:
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:2020-03-14T19:15:53.222Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.259Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.366Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.504Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.554Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.587Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.617Z:
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:2020-03-14T19:15:53.642Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.677Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2643>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.704Z:
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:2020-03-14T19:15:53.739Z:
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:2020-03-14T19:15:53.771Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.806Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at
core.py:2643>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.832Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.868Z:
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:2020-03-14T19:15:53.892Z:
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:2020-03-14T19:15:53.925Z:
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:2020-03-14T19:15:53.952Z:
JOB_MESSAGE_DETAILED: Fusing consumer
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:53.987Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.021Z:
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.057Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.093Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.129Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.166Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.192Z:
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:2020-03-14T19:15:54.228Z:
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:2020-03-14T19:15:54.254Z:
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.297Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.328Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.360Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:54.390Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:57.425Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:57.455Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:15:57.492Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:16:05.965Z:
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:2020-03-14T19:16:22.136Z:
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:2020-03-14T19:16:54.247Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:16:54.283Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:21:56.400Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:22:58.594Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:22:58.655Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:22:58.694Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:22:58.728Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:22:58.778Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:24:00.004Z:
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:2020-03-14T19:24:00.057Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T19:24:00.115Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-03-14_12_15_41-8912082830664365753 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 2182.300s
OK
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_48_20-13439477968348871763?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_58_04-488310178453718292?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_06_53-3368042727168256681?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_15_41-8912082830664365753?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_48_19-6346216542886907894?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_57_06-11976514128501301449?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_06_06-16890769272729768793?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_48_20-4605797650604006665?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_56_29-9122400683291934800?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_05_08-6794715842732950041?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_48_20-16950751203004525567?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_58_15-13324114184721871110?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_06_29-4179636208182511492?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_48_19-11870398686181883312?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_57_11-617419122329790612?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_06_25-4970313754762634295?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_48_20-4412567108341133052?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_57_16-1110644197533388888?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_06_21-7654506479302018381?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_48_21-13676138368719669163?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_58_02-9418692508590686256?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_48_18-9988757494347560639?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_11_57_15-3845480180059645009?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-14_12_06_10-13079564480191737654?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 19m 13s
64 actionable tasks: 48 executed, 16 from cache
Publishing build scan...
https://gradle.com/s/7brsuf2yzfts4
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]