See 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/11480/display/redirect?page=changes>

Changes:

[noreply] Better naming and logging to investigate leaking bigtable resources


------------------------------------------
[...truncated 303.49 KB...]
>>> RUNNING integration tests with pipeline options: 
>>> --runner=TestDataflowRunner --project=apache-beam-testing 
>>> --region=us-central1 
>>> --staging_location=gs://temp-storage-for-end-to-end-tests/staging-it 
>>> --temp_location=gs://temp-storage-for-end-to-end-tests/temp-it 
>>> --output=gs://temp-storage-for-end-to-end-tests/py-it-cloud/output 
>>> --sdk_location=<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl>
>>>  --requirements_file=postcommit_requirements.txt --num_workers=1 
>>> --sleep_secs=20 --streaming 
>>> --kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test
>>>  
>>> --dataflow_kms_key=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test
>>>   pytest options: --capture=no --timeout=4500 --color=yes 
>>> --log-cli-level=INFO
>>>   collect markers: -m=it_validatesrunner and not no_sickbay_streaming and 
>>> no_xdist
============================= test session starts 
==============================
platform linux -- Python 3.11.2, pytest-7.4.3, pluggy-1.3.0
rootdir: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python>
configfile: pytest.ini
plugins: timeout-2.2.0, xdist-3.3.1, requests-mock-1.11.0, hypothesis-6.88.1
timeout: 4500.0s
timeout method: signal
timeout func_only: False

----------------------------- live log collection 
------------------------------
WARNING  
apache_beam.runners.interactive.interactive_environment:interactive_environment.py:189
 Dependencies required for Interactive Beam PCollection visualization are not 
available, please use: `pip install apache-beam[interactive]` to install 
necessary dependencies to enable all data visualization features.
WARNING  
apache_beam.runners.interactive.interactive_environment:interactive_environment.py:198
 You cannot use Interactive Beam features when you are not in an interactive 
environment such as a Jupyter notebook or ipython terminal.
WARNING  root:avroio_test.py:54 python-snappy is not installed; some 
tests will be skipped.
WARNING  root:tfrecordio_test.py:55 Tensorflow is not installed, so 
skipping some tests.
collected 7227 items / 7226 deselected / 18 skipped / 1 selected

apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
 
-------------------------------- live log call 
---------------------------------
INFO     apache_beam.runners.portability.stager:stager.py:761 
Executing command: 
['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/2050596099/bin/python3.11',>
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'/tmp/tmpwb32jo4r/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', 
'--implementation', 'cp', '--abi', 'cp311', '--platform', 
'manylinux2014_x86_64']
INFO     apache_beam.runners.portability.stager:stager.py:322 Copying 
Beam SDK 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";>
 to staging location.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 Pipeline 
has additional dependencies to be installed in SDK worker container, consider 
using the SDK container image pre-building workflow to avoid repetitive 
installations. Learn more on 
https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO     root:environments.py:313 Using provided Python SDK container 
image: gcr.io/cloud-dataflow/v1beta3/beam_python3.11_sdk:beam-master-20231023
INFO     root:environments.py:320 Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/beam_python3.11_sdk:beam-master-20231023" for 
Docker environment
INFO     apache_beam.internal.gcp.auth:auth.py:131 Setting socket 
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> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests

[gw5] PASSED 
apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps
 
> Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests
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INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: 
<Job
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INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job 
with id: [2023-10-31_02_38_24-15888832037395649729]
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 
2023-10-31_02_38_24-15888832037395649729
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:847 To access the 
Dataflow monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-31_02_38_24-15888832037395649729?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-31_02_38_24-15888832037395649729?project=apache-beam-testing
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apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-31_02_38_24-15888832037395649729?project=apache-beam-testing
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 
2023-10-31_02_38_24-15888832037395649729 is in state JOB_STATE_RUNNING
WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:202 
2023-10-31T09:38:26.305Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for 
Dataflow Streaming Engine. Workers will scale between 1 and 100 unless 
maxNumWorkers is specified.
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 
2023-10-31T09:38:32.174Z: JOB_MESSAGE_BASIC: Worker configuration: 
e2-standard-2 in us-central1-b.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 
2023-10-31T09:38:35.594Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 
2023-10-31T09:38:35.623Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect 
persistent state.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 
2023-10-31T09:38:35.949Z: JOB_MESSAGE_BASIC: Starting 1 workers in 
us-central1-b...
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 
2023-10-31T09:38:54.478Z: 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:dataflow_runner.py:200 
2023-10-31T09:40:00.599Z: JOB_MESSAGE_BASIC: All workers have finished the 
startup processes and began to receive work requests.

> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests

[gw1] PASSED 
apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_list_and_as_dict_side_inputs
 

- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py38-xdist.xml>
 -
================= 34 passed, 18 skipped in 
2426.20s (0:40:26) ==================
>>> RUNNING integration tests with pipeline options: 
>>> --runner=TestDataflowRunner --project=apache-beam-testing 
>>> --region=us-central1 
>>> --staging_location=gs://temp-storage-for-end-to-end-tests/staging-it 
>>> --temp_location=gs://temp-storage-for-end-to-end-tests/temp-it 
>>> --output=gs://temp-storage-for-end-to-end-tests/py-it-cloud/output 
>>> --sdk_location=<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl>
>>>  --requirements_file=postcommit_requirements.txt --num_workers=1 
>>> --sleep_secs=20 --streaming 
>>> --kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test
>>>  
>>> --dataflow_kms_key=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test
>>>   pytest options: --capture=no --timeout=4500 --color=yes 
>>> --log-cli-level=INFO
>>>   collect markers: -m=it_validatesrunner and not no_sickbay_streaming and 
>>> no_xdist
============================= test session starts 
==============================
platform linux -- Python 3.8.10, pytest-7.4.3, pluggy-1.3.0
rootdir: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python>
configfile: pytest.ini
plugins: timeout-2.2.0, xdist-3.3.1, requests-mock-1.11.0, hypothesis-6.88.1
timeout: 4500.0s
timeout method: signal
timeout func_only: False

----------------------------- live log collection 
------------------------------
WARNING  
apache_beam.runners.interactive.interactive_environment:interactive_environment.py:189
 Dependencies required for Interactive Beam PCollection visualization are not 
available, please use: `pip install apache-beam[interactive]` to install 
necessary dependencies to enable all data visualization features.
WARNING  
apache_beam.runners.interactive.interactive_environment:interactive_environment.py:198
 You cannot use Interactive Beam features when you are not in an interactive 
environment such as a Jupyter notebook or ipython terminal.
WARNING  root:avroio_test.py:54 python-snappy is not installed; some 
tests will be skipped.
WARNING  root:tfrecordio_test.py:55 Tensorflow is not installed, so 
skipping some tests.
collected 7227 items / 7226 deselected / 18 skipped / 1 selected

apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
 
-------------------------------- live log call 
---------------------------------
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INFO     apache_beam.runners.portability.stager:stager.py:322 Copying 
Beam SDK 
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INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 Pipeline 
has additional dependencies to be installed in SDK worker container, consider 
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https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
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image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO     root:environments.py:320 Python SDK container image set to 
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INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: 
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job 
with id: [2023-10-31_02_41_41-8060872053969915945]
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 
2023-10-31_02_41_41-8060872053969915945
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:847 To access the 
Dataflow monitoring console, please navigate to 
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https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-31_02_41_41-8060872053969915945?project=apache-beam-testing
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 
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INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 
2023-10-31T09:41:52.890Z: JOB_MESSAGE_BASIC: Starting 1 workers in 
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INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 
2023-10-31T09:42:23.904Z: JOB_MESSAGE_BASIC: Your project already contains 100 
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 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
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> Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests
WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:216 Timing out 
on waiting for job 2023-10-31_02_38_24-15888832037395649729 after 303 seconds
PASSED

=============================== warnings summary 
===============================
../../build/gradleenv/2050596099/lib/python3.11/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/google/api_core/operations_v1/abstract_operations_client.py>:17:
 DeprecationWarning: The distutils package is deprecated and slated for removal 
in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
    from distutils import util

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py311-noxdist.xml>
 -
==== 1 passed, 18 skipped, 7226 
deselected, 1 warning in 557.57s (0:09:17) 
=====

> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests
WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:216 Timing out 
on waiting for job 2023-10-31_02_41_41-8060872053969915945 after 303 seconds
PASSED

- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py38-noxdist.xml>
 -
========== 1 passed, 18 skipped, 7226 
deselected in 543.97s (0:09:03) ==========

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

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: 254

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py311: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.
> Get more help at https://help.gradle.org.

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 9.0.

You can use '--warning-mode all' to show the individual deprecation warnings 
and determine if they come from your own scripts or plugins.

For more on this, please refer to 
https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings
 in the Gradle documentation.

BUILD FAILED in 1h 30m 28s
18 actionable tasks: 17 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/dsi5kkkakpdeo

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


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