See 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/9212/display/redirect?page=changes>

Changes:

[kamil.bregula] [BEAM-14215] Improve argument validation in SnowflakeIO

[benjamin.gonzalez] [BEAM-14013] Add PreCommit Kotlin examples Jenkins Job

[Heejong Lee] [BEAM-14233] Merge requirements from expanded response for Java 
External

[benjamin.gonzalez] [BEAM-14013] Add spark, direct, flink runners as triggers 
for Kotlin

[noreply] [BEAM-14288] Skip flaking test

[noreply] Simplify specifying additional dependencies in Go SDK in XLang IOs

[noreply] [BEAM-14240] Clean staticcheck warnings in runner packages (#17340)

[Daniel Oliveira] [BEAM-13538] Workaround to fix go-licenses crash.


------------------------------------------
[...truncated 254.09 KB...]

> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
FAILED

=================================== FAILURES ===================================
_ 
ExerciseStreamingMetricsPipelineTest.test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
 _

args = (subscription: 
"projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_output9be2ca4a-afde-4b12-b11b-37963ce9568d"
max_messages: 50
,)
kwargs = {'metadata': [('x-goog-request-params', 
'subscription=projects/apache-beam-testing/subscriptions/exercise_streaming_me...12-b11b-37963ce9568d'),
 ('x-goog-api-client', 'gl-python/3.7.12 grpc/1.44.0 gax/1.31.5 gccl/2.12.0')], 
'timeout': 30.0}

    @six.wraps(callable_)
    def error_remapped_callable(*args, **kwargs):
        try:
>           return callable_(*args, **kwargs)

../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/api_core/grpc_helpers.py:67:
 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fbdd4061fd0>
request = subscription: 
"projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_output9be2ca4a-afde-4b12-b11b-37963ce9568d"
max_messages: 50

timeout = 30.0
metadata = [('x-goog-request-params', 
'subscription=projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscri...ut9be2ca4a-afde-4b12-b11b-37963ce9568d'),
 ('x-goog-api-client', 'gl-python/3.7.12 grpc/1.44.0 gax/1.31.5 gccl/2.12.0')]
credentials = None, wait_for_ready = None, compression = None

    def __call__(self,
                 request,
                 timeout=None,
                 metadata=None,
                 credentials=None,
                 wait_for_ready=None,
                 compression=None):
        state, call, = self._blocking(request, timeout, metadata, 
credentials,
                                      wait_for_ready, compression)
>       return _end_unary_response_blocking(state, call, False, None)

../../build/gradleenv/-1734967052/lib/python3.7/site-packages/grpc/_channel.py:946:
 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

state = <grpc._channel._RPCState object at 0x7fbdd4086fd0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fbdd405a8c0>
with_call = False, deadline = None

    def _end_unary_response_blocking(state, call, with_call, deadline):
        if state.code is grpc.StatusCode.OK:
            if with_call:
                rendezvous = _MultiThreadedRendezvous(state, call, None, 
deadline)
                return state.response, rendezvous
            else:
                return state.response
        else:
>           raise _InactiveRpcError(state)
E           grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC 
that terminated with:
E              status = StatusCode.DEADLINE_EXCEEDED
E              details = "Deadline Exceeded"
E              debug_error_string = 
"{"created":"@1649734673.204945019","description":"Error received from peer 
ipv4:142.250.136.95:443","file":"src/core/lib/surface/call.cc","file_line":903,"grpc_message":"Deadline
 Exceeded","grpc_status":4}"
E           >

../../build/gradleenv/-1734967052/lib/python3.7/site-packages/grpc/_channel.py:849:
 _InactiveRpcError

The above exception was the direct cause of the following exception:

self = 
<apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline_test.ExerciseStreamingMetricsPipelineTest
 testMethod=test_streaming_pipeline_returns_expected_user_metrics_fnapi_it>

    @pytest.mark.it_validatesrunner
    @pytest.mark.no_sickbay_batch
    @pytest.mark.no_xdist
    def 
test_streaming_pipeline_returns_expected_user_metrics_fnapi_it(self):
      """
      Runs streaming Dataflow job and verifies that user metrics are 
reported
      correctly.
      """
      self._inject_words(self.input_topic, MESSAGES_TO_PUBLISH)
>     result = self.run_pipeline()

apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py:136:
 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py:124:
 in run_pipeline
    return dataflow_exercise_streaming_metrics_pipeline.run(argv)
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline.py:99:
 in run
    result = pipeline.run()
apache_beam/pipeline.py:573: in run
    return self.runner.run_pipeline(self, self._options)
apache_beam/runners/dataflow/test_dataflow_runner.py:68: in 
run_pipeline
    hc_assert_that(self.result, pickler.loads(on_success_matcher))
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hamcrest/core/core/allof.py:19:
 in matches
    if not matcher.matches(item):
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hamcrest/core/base_matcher.py:28:
 in matches
    match_result = self._matches(item)
apache_beam/io/gcp/tests/pubsub_matcher.py:116: in _matches
    self.expected_msg_len, self.timeout)
apache_beam/io/gcp/tests/pubsub_matcher.py:132: in 
_wait_for_messages
    timeout=self.pull_timeout)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/pubsub_v1/services/subscriber/client.py:1401:
 in pull
    metadata=metadata,
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/api_core/gapic_v1/method.py:145:
 in __call__
    return wrapped_func(*args, **kwargs)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/api_core/retry.py:291:
 in retry_wrapped_func
    on_error=on_error,
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/api_core/retry.py:189:
 in retry_target
    return target()
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/api_core/timeout.py:102:
 in func_with_timeout
    return func(*args, **kwargs)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/api_core/grpc_helpers.py:69:
 in error_remapped_callable
    six.raise_from(exceptions.from_grpc_error(exc), exc)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

value = None
from_value = <_InactiveRpcError of RPC that terminated with:
        status = StatusCode.DEADLINE_EXCEEDED
        details = "Deadline Exceeded"
...36.95:443","file":"src/core/lib/surface/call.cc","file_line":903,"grpc_message":"Deadline
 Exceeded","grpc_status":4}"
>

>   ???
E   google.api_core.exceptions.DeadlineExceeded: 504 Deadline 
Exceeded

<string>:3: DeadlineExceeded
------------------------------ Captured log call -------------------------------
INFO     apache_beam.runners.portability.stager:stager.py:754 
Executing command: 
['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967052/bin/python3.7',>
 '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', 
'/tmp/tmphfl3lw73/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', 
'--implementation', 'cp', '--abi', 'cp37m', '--platform', 
'manylinux2014_x86_64']
INFO     apache_beam.runners.portability.stager:stager.py:325 Copying 
Beam SDK 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache-beam.tar.gz";>
 to staging location.
WARNING  root:environments.py:374 Make sure that locally built Python 
SDK docker image has Python 3.7 interpreter.
INFO     root:environments.py:380 Default Python SDK image for 
environment is apache/beam_python3.7_sdk:2.39.0.dev
INFO     root:environments.py:296 Using provided Python SDK container 
image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220407
INFO     root:environments.py:304 Python SDK container image set to 
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environment
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WARNING  apache_beam.options.pipeline_options:pipeline_options.py:335 
Discarding unparseable args: ['--sleep_secs=20', 
'--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test']
WARNING  apache_beam.options.pipeline_options:pipeline_options.py:335 
Discarding unparseable args: ['--sleep_secs=20', 
'--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test']
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:887 Create job: 
<Job
                                                                           
clientRequestId: '20220412033448623451-2535'
                                                                           
createTime: '2022-04-12T03:35:01.961298Z'
                                                                           
currentStateTime: '1970-01-01T00:00:00Z'
                                                                           id: 
'2022-04-11_20_34_58-13832145506502395668'
                                                                           
location: 'us-central1'
                                                                           
name: 'beamapp-jenkins-0412033448-621665-nthvafm2'
                                                                           
projectId: 'apache-beam-testing'
                                                                           
stageStates: []
                                                                           
startTime: '2022-04-12T03:35:01.961298Z'
                                                                           
steps: []
                                                                           
tempFiles: []
                                                                           
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:889 Created job 
with id: [2022-04-11_20_34_58-13832145506502395668]
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:890 Submitted job: 
2022-04-11_20_34_58-13832145506502395668
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:896 To access the 
Dataflow monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-11_20_34_58-13832145506502395668?project=apache-beam-testing
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:197 Job 
2022-04-11_20_34_58-13832145506502395668 is in state JOB_STATE_RUNNING
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:34:58.890Z: JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use 
--experiments=disable_streaming_engine to opt out.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:34:58.890Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. 
Use --experiments=disable_runner_v2 to opt out.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:02.563Z: 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:dataflow_runner.py:242 
2022-04-12T03:35:02.615Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2022-04-11_20_34_58-13832145506502395668. The number of workers will be between 
1 and 100.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:02.684Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically 
enabled for job 2022-04-11_20_34_58-13832145506502395668.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:10.985Z: JOB_MESSAGE_BASIC: Worker configuration: 
e2-standard-2 in us-central1-b.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:12.885Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo 
operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:12.921Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton 
operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:12.982Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey 
operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.071Z: JOB_MESSAGE_DETAILED: Expanding 
SplittableProcessKeyed operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.115Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations 
into streaming Read/Write steps
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.146Z: JOB_MESSAGE_DETAILED: Lifting 
ValueCombiningMappingFns into MergeBucketsMappingFns
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.176Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner 
information.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.228Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, 
Write, and Flatten operations
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.282Z: JOB_MESSAGE_DETAILED: Fusing consumer 
generate_metrics into ReadFromPubSub/Read
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.312Z: JOB_MESSAGE_DETAILED: Fusing consumer 
dump_to_pub/ToProtobuf into generate_metrics
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.348Z: JOB_MESSAGE_DETAILED: Fusing consumer 
dump_to_pub/Write into dump_to_pub/ToProtobuf
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.396Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.417Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect 
persistent state.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.513Z: JOB_MESSAGE_DEBUG: Workflow config is missing a 
default resource spec.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.571Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and 
teardown to workflow graph.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.617Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop 
steps.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.653Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.732Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.816Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:13.866Z: JOB_MESSAGE_BASIC: Starting 1 workers in 
us-central1-b...
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-04-12T03:35:42.111Z: 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:242 
2022-04-12T03:35:46.409Z: 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.
WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:256 Timing out 
on waiting for job 2022-04-11_20_34_58-13832145506502395668 after 60 seconds
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-noxdist.xml>
 -
================= 1 failed, 5302 deselected in 282.40 seconds 
==================

> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests 
> FAILED

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: 266

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py37: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

BUILD FAILED in 1h 19m 34s
100 actionable tasks: 65 executed, 33 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/gb6ljnj3c2udc

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

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