See 
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/9/display/redirect>

Changes:


------------------------------------------
[...truncated 5.72 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_input96d032d8-a00e-4e28-b68b-20ab1b45cede"
          }
        ], 
        "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_input96d032d8-a00e-4e28-b68b-20ab1b45cede",
 
        "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_output96d032d8-a00e-4e28-b68b-20ab1b45cede",
 
        "user_name": "dump_to_pub/Write/NativeWrite"
      }
    }
  ], 
  "type": "JOB_TYPE_STREAMING"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
 createTime: u'2020-03-01T00:35:06.369537Z'
 currentStateTime: u'1970-01-01T00:00:00Z'
 id: u'2020-02-29_16_35_05-15674196479296070679'
 location: u'us-central1'
 name: u'beamapp-jenkins-0301003447-598045'
 projectId: u'apache-beam-testing'
 stageStates: []
 startTime: u'2020-03-01T00:35:06.369537Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id: 
[2020-02-29_16_35_05-15674196479296070679]
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_16_35_05-15674196479296070679?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job 
2020-02-29_16_35_05-15674196479296070679 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:05.393Z: 
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: 2020-03-01T00:35:05.393Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2020-02-29_16_35_05-15674196479296070679. The number of workers will be between 
1 and 100.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:05.394Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2020-02-29_16_35_05-15674196479296070679.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:08.431Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:09.532Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.008Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.039Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.111Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.219Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.245Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.277Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.311Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.364Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.400Z: 
JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.424Z: 
JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write/NativeWrite into 
generate_metrics
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.457Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.488Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.522Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:10.557Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:16.542Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:16.576Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:16.611Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-03-01T00:35:19.378Z: 
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: 2020-03-01T00:35:39.467Z: 
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_16_35_05-15674196479296070679 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 28 tests in 2199.822s

FAILED (failures=1)
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_35_02-40783893412048322?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_44_25-2341862432710207326?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_53_15-10828948524905346716?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_17_02_08-13439693033450068741?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_35_01-10622792698776626679?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_44_58-11862034091627137113?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_35_02-3435699174819472309?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_43_07-17738662352408576320?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_51_56-8656783540542238583?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_35_05-15674196479296070679?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_42_26-6143594559656360464?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_51_44-3507369679476753107?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_35_03-14232676221876776800?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_43_36-7174742417826974992?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_52_38-12235651860030198828?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_35_05-12525722572356678806?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_43_21-8443198911302542050?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_51_30-1119709012001699554?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_35_01-13832807467152254163?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_43_00-7256477141083096111?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_51_19-7167452697477420661?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_35_04-14545845789906219071?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_43_38-1857543762510970481?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-02-29_16_51_51-9085906791853313843?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 10m 25s
62 actionable tasks: 45 executed, 17 from cache

Publishing build scan...
https://gradle.com/s/md25m3nsalw5i

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]

Reply via email to