See
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/319/display/redirect?page=changes>
Changes:
[crites] Updates documentation for WINDOWED_VALUE coder.
[github] Update session.go
[github] Update stage.go
[github] Update server_test.go
[github] Update materialize.go
[github] Update materialize_test.go
[github] Update stage_test.go
[github] Update artifact.go
[github] Update provision.go
[github] Update retrieval.go
[github] Update staging.go
[github] Update translate.go
[github] Update datamgr.go
[github] Update datamgr_test.go
[github] Update logging.go
[github] Update logging_test.go
[github] Update monitoring.go
[github] Update session.go
[github] Update statemgr.go
[github] Update statemgr_test.go
[github] Update replace.go
[github] Update replace_test.go
[github] Update provision.go
[github] Update execute.go
[github] Update job.go
[github] Update translate.go
[github] Update translate.go
[github] Update job.go
[github] Update materialize.go
[kcweaver] [BEAM-9714] [Go SDK] Require --region flag in Dataflow runner.
[github] Update translate.go
[github] Update session.go
[github] Update materialize_test.go
[mxm] [BEAM-9596] Ensure metrics are available in PipelineResult when the
[crites] Uses iterable coder for windows and copies all of timestamp encoding
[github] Update session.go (#11352)
------------------------------------------
[...truncated 5.42 MB...]
"location":
"storage.googleapis.com/temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0408214248-297720.1586382168.298116/dataflow-worker.jar",
"name": "dataflow-worker.jar"
}
],
"taskrunnerSettings": {
"parallelWorkerSettings": {
"baseUrl": "https://dataflow.googleapis.com",
"servicePath": "https://dataflow.googleapis.com"
}
},
"workerHarnessContainerImage":
"gcr.io/cloud-dataflow/v1beta3/python-fnapi:beam-master-20200317"
}
]
},
"name": "beamapp-jenkins-0408214248-297720",
"steps": [
{
"kind": "ParallelRead",
"name": "s1",
"properties": {
"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": "with_attributes",
"label": "With Attributes",
"namespace": "apache_beam.io.gcp.pubsub._PubSubSource",
"type": "BOOLEAN",
"value": false
},
{
"key": "subscription",
"label": "Pubsub Subscription",
"namespace": "apache_beam.io.gcp.pubsub._PubSubSource",
"type": "STRING",
"value":
"projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_inputad6ab3bd-1d36-4783-9340-dae934ee1712"
}
],
"format": "pubsub",
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type": "kind:bytes"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "out",
"user_name": "ReadFromPubSub/Read.out"
}
],
"pubsub_subscription":
"projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_inputad6ab3bd-1d36-4783-9340-dae934ee1712",
"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": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type": "kind:bytes"
},
{
"@type": "kind:global_window"
}
],
"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": [],
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type": "kind:bytes"
},
{
"@type": "kind:global_window"
}
],
"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_outputad6ab3bd-1d36-4783-9340-dae934ee1712",
"user_name": "dump_to_pub/Write/NativeWrite"
}
}
],
"type": "JOB_TYPE_STREAMING"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
createTime: u'2020-04-08T21:43:04.244061Z'
currentStateTime: u'1970-01-01T00:00:00Z'
id: u'2020-04-08_14_43_03-4620576338366059133'
location: u'us-central1'
name: u'beamapp-jenkins-0408214248-297720'
projectId: u'apache-beam-testing'
stageStates: []
startTime: u'2020-04-08T21:43:04.244061Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2020-04-08_14_43_03-4620576338366059133]
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_03-4620576338366059133?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2020-04-08_14_43_03-4620576338366059133 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:03.165Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-04-08_14_43_03-4620576338366059133.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:03.165Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-04-08_14_43_03-4620576338366059133. The number of workers will be between
1 and 100.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:03.165Z:
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: 2020-04-08T21:43:20.822Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:21.710Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.359Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.389Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.445Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.478Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.546Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.613Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.725Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.798Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.829Z:
JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.856Z:
JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write/NativeWrite into
generate_metrics
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.894Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.917Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.942Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:22.973Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:29.391Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:29.425Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:29.553Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-08T21:43:57.336Z:
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: 2020-04-08T21:43:58.483Z:
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: WARNING: Timing out on waiting
for job 2020-04-08_14_43_03-4620576338366059133 after 60 seconds
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" 200 192
--------------------- >> 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 2331.875s
FAILED (failures=1)
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_01-3804070947775521147?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_51_55-8175929885949252395?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_15_01_55-533078347175415818?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_03-4620576338366059133?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_51_37-10215094258591015962?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_15_01_12-2322606511594616310?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_02-14752144992715163441?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_52_25-10757847036541768090?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_15_02_54-6878909892412794862?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_15_12_26-3894690322643547601?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_03-1881959831387937213?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_52_18-18382594070156217777?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_15_01_54-3302237142531999625?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_00-5970380079480707593?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_52_06-14559647510499487141?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_03-8880460720689752759?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_52_42-2018853311246554306?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_15_01_56-5926758546820535830?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_02-11997614898564825692?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_53_50-4643403321016863402?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_15_02_54-13383473580570879528?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_43_01-5694601426079431684?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_14_53_24-8018341856345018260?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-08_15_02_49-8603300670099858839?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 17m 54s
64 actionable tasks: 46 executed, 18 from cache
Publishing build scan...
https://gradle.com/s/fay2wn7vuivio
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]