See
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/6/display/redirect?page=changes>
Changes:
[github] Adds DisplayData for StateSpecs used by stateful ParDos
------------------------------------------
[...truncated 5.75 MB...]
{
"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_input03d23b1b-acd3-498d-bce4-7241c0294189"
}
],
"format": "pubsub",
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
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},
{
"@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_input03d23b1b-acd3-498d-bce4-7241c0294189",
"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": [
{
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{
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},
{
"@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_output03d23b1b-acd3-498d-bce4-7241c0294189",
"user_name": "dump_to_pub/Write/NativeWrite"
}
}
],
"type": "JOB_TYPE_STREAMING"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
createTime: u'2020-02-29T10:40:14.493018Z'
currentStateTime: u'1970-01-01T00:00:00Z'
id: u'2020-02-29_02_40_12-17679783852782069305'
location: u'us-central1'
name: u'beamapp-jenkins-0229103957-287982'
projectId: u'apache-beam-testing'
stageStates: []
startTime: u'2020-02-29T10:40:14.493018Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2020-02-29_02_40_12-17679783852782069305]
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_12-17679783852782069305?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2020-02-29_02_40_12-17679783852782069305 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:12.419Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-02-29_02_40_12-17679783852782069305. The number of workers will be between
1 and 100.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:12.419Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-02-29_02_40_12-17679783852782069305.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:12.419Z:
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: 2020-02-29T10:40:16.904Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:17.780Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.262Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.300Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.374Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.420Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.459Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.499Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.533Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.597Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.638Z:
JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.677Z:
JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write/NativeWrite into
generate_metrics
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.724Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.757Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.790Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:18.828Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:27.094Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:27.124Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:27.165Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-02-29T10:40:33.514Z:
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: 2020-02-29T10:40:50.605Z:
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 2020-02-29_02_40_12-17679783852782069305 after 61 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 28 tests in 2140.915s
FAILED (failures=1)
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_10-17041174268744380419?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_49_45-16257617086449850651?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_58_59-6031678048900946147?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_03_07_13-7502461901453794640?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_10-13360984927440739714?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_48_17-17736916278158651509?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_56_16-3154213616120000352?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_12-17679783852782069305?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_47_42-11058314621158502893?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_55_22-7367436082036538968?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_11-2078178383274743514?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_48_22-10940601763389238212?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_56_31-10110853586077384952?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_11-12133417183726860277?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_48_42-7469158769272727108?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_57_49-11094978924143954139?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_09-5655989317562705674?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_48_58-8594187825726273229?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_57_04-4532783999894355477?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_12-13342255799417330216?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_48_30-2890815798845002395?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_57_36-14032993148867729023?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_40_10-7456912026089691323?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_02_49_33-15984734353157691152?project=apache-beam-testing
> Task :sdks:python:test-suites:dataflow:py2:validatesRunnerStreamingTests
> FAILED
FAILURE: Build completed with 2 failures.
1: Task 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.
==============================================================================
2: Task 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 11m 3s
62 actionable tasks: 57 executed, 5 from cache
Publishing build scan...
https://gradle.com/s/7npxubpb4clie
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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