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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2020/10/14 00:38:46 UTC

Build failed in Jenkins: beam_PreCommit_Python_Cron #3361

See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/3361/display/redirect?page=changes>

Changes:

[Luke Cwik] [BEAM-9309] Remove the READ urn/payload from the Java SDK harness.

[rohde.samuel] Add ability for HotKeyLogger to log a key.

[noreply] [BEAM-10861]Adds PubSub Runner API encoding to Read/Write transforms

[noreply] [BEAM-8251] Add worker_region and worker_zone options (#13072)

[noreply] [BEAM-10720] Finish implementing StringMethods (cat, repeat) (#12705)

[noreply] [BEAM-10009] Document micros_instant (#12921)


------------------------------------------
[...truncated 1.44 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2020-10-13_17_30_15-6412768982573924530]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2020-10-13_17_30_15-6412768982573924530
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-13_17_30_15-6412768982573924530?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-10-13_17_30_15-6412768982573924530 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:15.083Z: 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:2020-10-14T00:30:15.083Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2020-10-13_17_30_15-6412768982573924530. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:15.083Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2020-10-13_17_30_15-6412768982573924530.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:23.267Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:25.597Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:25.630Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:25.712Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:25.749Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:25.785Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:25.842Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:25.912Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:25.975Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.023Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.055Z: JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.108Z: JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.141Z: JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.170Z: JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.206Z: JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.304Z: JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.339Z: JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.372Z: JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.406Z: JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.452Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.510Z: JOB_MESSAGE_BASIC: The pubsub read for: projects/apache-beam-testing/subscriptions/wc_subscription_inputa65d7d5f-8239-4d23-8733-d828390f535a is configured to compute input data watermarks based on custom timestamp attribute . Cloud Dataflow has created an additional tracking subscription to do this, which will be cleaned up automatically. For details, see: https://cloud.google.com/dataflow/model/pubsub-io#timestamps-ids
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.551Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.597Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.651Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:26.693Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:27.518Z: JOB_MESSAGE_DETAILED: Pub/Sub resources set up for topic 'projects/apache-beam-testing/topics/wc_topic_inputa65d7d5f-8239-4d23-8733-d828390f535a'.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:28.807Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:28.851Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:28.891Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:48.150Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can 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:2020-10-14T00:30:51.747Z: 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.

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:58.587Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:30:58.621Z: JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:31:37.113Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T00:31:37.147Z: JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-10-13_17_29_39-2334008513532615690 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token HTTP/1.1" 200 221

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-10-13_17_30_15-6412768982573924530 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token HTTP/1.1" 200 221

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-13_17_29_39-2334008513532615690?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py36.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 531.030s

OK

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-13_17_30_15-6412768982573924530?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 515.136s

OK

> Task :sdks:python:test-suites:dataflow:preCommitIT_V2

FAILURE: Build completed with 2 failures.

1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py37:testPy37Cloud'.
> 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.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py36:testPy36Cloud'.
> 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 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.6.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 35m 14s
82 actionable tasks: 61 executed, 21 from cache

Publishing build scan...
https://gradle.com/s/k45qbklqfgmqq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Jenkins build is back to normal : beam_PreCommit_Python_Cron #3363

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See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/3363/display/redirect?page=changes>


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Build failed in Jenkins: beam_PreCommit_Python_Cron #3362

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/3362/display/redirect?page=changes>

Changes:

[piotr.szuberski] [BEAM-10885] Add Avro support to Kafka table provider

[piotr.szuberski] Remove booleans, use List of values

[piotr.szuberski] Fixes after CR

[piotr.szuberski] Change payloadFormat to format like in text table provider

[piotr.szuberski] Fix checkstyle

[piotr.szuberski] Use SimpleFunction instead of SerializableFunction

[piotr.szuberski] Remove getSchema() and listFrom(), make abstract generateRow, add

[piotr.szuberski] Remove generification of KafkaTestRecord

[piotr.szuberski] Add missing close paren

[piotr.szuberski] Get rid of getTable() and KafkaTestTable inheritance

[piotr.szuberski] Fix comment

[piotr.szuberski] Inline getRecordValueBytes

[piotr.szuberski] Remove generification of generateProducerRecord

[piotr.szuberski] Add full-stops to javadocs

[piotr.szuberski] Move statistics tests to separate file

[piotr.szuberski] Throw exception instead of returning null.

[piotr.szuberski] Update create-external-table.md

[piotr.szuberski] Update CHANGES.md

[piotr.szuberski] Use ByteArraySerializer as kafka value serializer

[noreply] Update CHANGES.md

[noreply] Update

[noreply] Update

[noreply] Update

[noreply] [BEAM-10987] Skip test_with_main_session on windows (#13099)

[noreply] [BEAM-9616] Allow new RegisterDoFn behaviour to be disabled (#13103)

[noreply] [BEAM-11020] Adding multi-window splitting to Go SDF. (#13070)


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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2020-10-14T06:33:53.297826Z'
 currentStateTime: '1970-01-01T00:00:00Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2020-10-13_23_33_51-8690188240703922455]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2020-10-13_23_33_51-8690188240703922455
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-13_23_33_51-8690188240703922455?project=apache-beam-testing

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:50.096Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:50.132Z: JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-10-13_23_33_51-8690188240703922455 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:52.016Z: 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:2020-10-14T06:33:52.017Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2020-10-13_23_33_51-8690188240703922455.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:52.017Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2020-10-13_23_33_51-8690188240703922455. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:58.009Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:58.727Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:58.762Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:58.843Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:58.879Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:58.926Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:58.957Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.035Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.103Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.136Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.179Z: JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.219Z: JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.252Z: JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.290Z: JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.323Z: JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.351Z: JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.386Z: JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.413Z: JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.448Z: JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.486Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.529Z: JOB_MESSAGE_BASIC: The pubsub read for: projects/apache-beam-testing/subscriptions/wc_subscription_inputbd04b057-8dcf-4e26-a0a6-30444d5b5f3a is configured to compute input data watermarks based on custom timestamp attribute . Cloud Dataflow has created an additional tracking subscription to do this, which will be cleaned up automatically. For details, see: https://cloud.google.com/dataflow/model/pubsub-io#timestamps-ids
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.558Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.591Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.624Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:33:59.659Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:34:00.862Z: JOB_MESSAGE_DETAILED: Pub/Sub resources set up for topic 'projects/apache-beam-testing/topics/wc_topic_inputbd04b057-8dcf-4e26-a0a6-30444d5b5f3a'.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:34:02.397Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:34:02.442Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:34:02.486Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:34:25.366Z: 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:2020-10-14T06:34:27.330Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can 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:2020-10-14T06:35:08.424Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-14T06:35:08.457Z: JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-10-13_23_32_31-11709831257780863071 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token HTTP/1.1" 200 221

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-10-13_23_33_51-8690188240703922455 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token HTTP/1.1" 200 221

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-13_23_32_31-11709831257780863071?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 504.324s

OK

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-13_23_33_51-8690188240703922455?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py36.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 514.691s

OK

> Task :sdks:python:test-suites:dataflow:preCommitIT_V2

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py36:testPy36Cloud'.
> 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 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.6.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 41m 48s
82 actionable tasks: 72 executed, 10 from cache

Publishing build scan...
https://gradle.com/s/26qid3qxb4wwy

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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