See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/6816/display/redirect>
Changes:
------------------------------------------
[...truncated 26.80 MB...]
"display_data": [
{
"key": "source",
"label": "Read Source",
"namespace": "apache_beam.io.iobase.Read",
"shortValue": "_PubSubSource",
"type": "STRING",
"value": "apache_beam.io.gcp.pubsub._PubSubSource"
},
{
"key": "subscription",
"label": "Pubsub Subscription",
"namespace": "apache_beam.io.gcp.pubsub._PubSubSource",
"type": "STRING",
"value":
"projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_input61c51995-88c6-439e-b7cf-c2a96e5b67ee"
},
{
"key": "with_attributes",
"label": "With Attributes",
"namespace": "apache_beam.io.gcp.pubsub._PubSubSource",
"type": "BOOLEAN",
"value": false
}
],
"format": "pubsub",
"output_info": [
{
"encoding": {
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"component_encodings": [
{
"@type": "kind:bytes"
},
{
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}
],
"is_wrapper": true
},
"output_name": "out",
"user_name": "ReadFromPubSub/Read.out"
}
],
"pubsub_subscription":
"projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_input61c51995-88c6-439e-b7cf-c2a96e5b67ee",
"user_name": "ReadFromPubSub/Read"
}
},
{
"kind": "ParallelDo",
"name": "s2",
"properties": {
"display_data": [
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "StreamingUserMetricsDoFn",
"type": "STRING",
"value":
"apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline.StreamingUserMetricsDoFn"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
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{
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{
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],
"is_wrapper": true
},
"output_name": "None",
"user_name": "generate_metrics.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "out",
"step_name": "s1"
},
"serialized_fn": "ref_AppliedPTransform_generate_metrics_4",
"user_name": "generate_metrics"
}
},
{
"kind": "ParallelWrite",
"name": "s3",
"properties": {
"display_data": [],
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{
"@type": "kind:bytes"
},
{
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],
"is_wrapper": true
},
"format": "pubsub",
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s2"
},
"pubsub_topic":
"projects/apache-beam-testing/topics/exercise_streaming_metrics_topic_output61c51995-88c6-439e-b7cf-c2a96e5b67ee",
"user_name": "dump_to_pub/Write/NativeWrite"
}
}
],
"type": "JOB_TYPE_STREAMING"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
createTime: '2020-08-10T06:41:34.934794Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2020-08-09_23_41_33-18400514559102197140'
location: 'us-central1'
name: 'beamapp-jenkins-0810064124-035315'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2020-08-10T06:41:34.934794Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2020-08-09_23_41_33-18400514559102197140]
apache_beam.runners.dataflow.internal.apiclient: INFO: Submitted job:
2020-08-09_23_41_33-18400514559102197140
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-09_23_41_33-18400514559102197140?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2020-08-09_23_41_33-18400514559102197140 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:37.596Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-4 in us-central1-f.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.260Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.262Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.268Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.276Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.278Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.280Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.289Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.291Z:
JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.293Z:
JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write/NativeWrite into
generate_metrics
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.299Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.338Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.383Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.590Z:
JOB_MESSAGE_DEBUG: Executing wait step start2
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.601Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:38.608Z:
JOB_MESSAGE_BASIC: Starting 1 workers...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:40.898Z:
JOB_MESSAGE_BASIC: Executing operation
ReadFromPubSub/Read+generate_metrics+dump_to_pub/Write/NativeWrite
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:41:58.496Z:
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: 2020-08-10T06:42:05.127Z:
JOB_MESSAGE_DEBUG: Executing input step topology_init_attach_disk_input_step
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:42:05.536Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-4 in us-central1-f.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-08-10T06:42:25.329Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: WARNING: Timing out on waiting
for job 2020-08-09_23_41_33-18400514559102197140 after 60 seconds
google.auth._default: DEBUG: Checking None for explicit credentials as part of
auth process...
google.auth._default: DEBUG: Checking Cloud SDK credentials as part of auth
process...
google.auth._default: DEBUG: Cloud SDK credentials not found on disk; not using
them
google.auth._default: DEBUG: Checking for App Engine runtime as part of auth
process...
google.auth._default: DEBUG: No App Engine library was found so cannot
authentication via App Engine Identity Credentials.
google.auth.transport._http_client: DEBUG: Making request: GET
http://169.254.169.254
google.auth.transport._http_client: DEBUG: Making request: GET
http://metadata.google.internal/computeMetadata/v1/project/project-id
google.auth.transport.requests: DEBUG: Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
urllib3.connectionpool: DEBUG: Starting new HTTP connection (1):
metadata.google.internal:80
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1"
200 144
google.auth.transport.requests: DEBUG: Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/[email protected]/token
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/[email protected]/token
HTTP/1.1" 200 221
apache_beam.io.gcp.tests.pubsub_matcher: ERROR: Timeout after 600 sec. Received
0 messages from
projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_output61c51995-88c6-439e-b7cf-c2a96e5b67ee.
--------------------- >> end captured logging << ---------------------
----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df-py37.xml
----------------------------------------------------------------------
XML:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 27 tests in 1866.737s
FAILED (failures=1)
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
> FAILED
> Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-10T07:12:20.861Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-08-10_00_05_24-17843539946683318781 is in state JOB_STATE_DONE
test_gbk_many_values
(apache_beam.runners.portability.fn_api_runner.fn_runner_test.FnApiBasedStateBackedCoderTest)
... ok
Test TimestampCombiner with EARLIEST. ... ok
Test TimestampCombiner with LATEST. ... ok
Runs streaming Dataflow job and verifies that user metrics are reported ... ok
test_flatten_one_single_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_multiple_pcollections_having_multiple_consumers
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_dofn_lifecycle
(apache_beam.transforms.dofn_lifecycle_test.DoFnLifecycleTest) ... ok
test_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ...
ok
test_flatten_a_flattened_pcollection
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_pcollections
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_par_do_with_multiple_outputs_and_using_return
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ...
ok
test_par_do_with_multiple_outputs_and_using_yield
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_list_and_as_dict_side_inputs
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest)
... ok
test_as_list_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ...
ok
test_multiple_empty_outputs
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_singleton_with_different_defaults
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_without_unique_labels
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_flattened_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_empty_singleton_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_reshuffle_preserves_timestamps
(apache_beam.transforms.util_test.ReshuffleTest) ... ok
test_default_value_singleton_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_iterable_side_input
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok
----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df-py36.xml
----------------------------------------------------------------------
XML:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 27 tests in 1863.675s
OK
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 173
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py37: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 12m 10s
81 actionable tasks: 63 executed, 18 from cache
Publishing build scan...
https://gradle.com/s/j55pmbm3umai6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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