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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2021/12/25 12:08:08 UTC
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5486
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5486/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fc1051bdeb0>
request = preparation_id: "job_878c6062-72cf-4ec3-9a09-1f22da4cad69"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fc1040554f0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fc0fa887200>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640434074.595033828","description":"Error received from peer ipv4:127.0.0.1:52795","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fc0d341b3d0 (stop=<tenacity.stop.stop_after_attempt object at 0x7fc0d341b280>, wait=<tenacity.w...0x7fc0d3ae49d0>, before=<function before_nothing at 0x7fc0d3af8790>, after=<function after_nothing at 0x7fc0d3ada310>)>
retry_state = <tenacity.RetryCallState object at 0x7fc0fd2385b0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fc0fd1336d0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 53.28 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 7m 24s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (2 retries remaining)...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (1 retry remaining)...
https://gradle.com/s/yrrtb7ljlmh7i
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5527
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5527/display/redirect?page=changes>
Changes:
[noreply] Merge pull request #16404: [BEAM-13586] Fix NPE in
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f8da5e74100>
request = preparation_id: "job_73a1c772-c1d9-4751-a2d1-cad614e46c54"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f8da6860e50>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f8da6196dc0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641319747.504561443","description":"Error received from peer ipv4:127.0.0.1:41671","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f8daa5bed90 (stop=<tenacity.stop.stop_after_attempt object at 0x7f8daa5bec40>, wait=<tenacity.w...0x7f8d7956b430>, before=<function before_nothing at 0x7f8d791b3f70>, after=<function after_nothing at 0x7f8d79576af0>)>
retry_state = <tenacity.RetryCallState object at 0x7f8da66a4220>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f8da6860880 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-52" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 58.37 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 7m 55s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/v4b2ljebe3uyq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5526
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5526/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f3ffde4ad90>
request = preparation_id: "job_3cfb3231-4f56-4c0f-8b9e-af0916418752"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f3ffdb7a7f0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f3fff7aaf40>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641298088.276436524","description":"Error received from peer ipv4:127.0.0.1:54267","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f40033704c0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f400336bfd0>, wait=<tenacity.w...0x7f3fd22697c0>, before=<function before_nothing at 0x7f3fd2173f70>, after=<function after_nothing at 0x7f3fd22a3af0>)>
retry_state = <tenacity.RetryCallState object at 0x7f3ffd9ac9d0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f3fff5c4ca0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 51.92 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 7m 7s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/qoj7lxylrme42
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5525
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5525/display/redirect>
Changes:
------------------------------------------
[...truncated 2.17 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f417f98a5e0>
request = preparation_id: "job_62f2fceb-3ba8-4c4f-89af-fab17923114e"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f4182246a30>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f417f061cc0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641276688.140740930","description":"Error received from peer ipv4:127.0.0.1:36339","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f4186181cd0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f4186181b80>, wait=<tenacity.w...0x7f4155133370>, before=<function before_nothing at 0x7f4154d66f70>, after=<function after_nothing at 0x7f415512caf0>)>
retry_state = <tenacity.RetryCallState object at 0x7f4182521430>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f4182246310 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 63.83 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 10m 58s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/jc5w5qzbs5pjk
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5524
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5524/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7ff956aa4ac0>
request = preparation_id: "job_b42c7813-027f-4732-9a03-f42ebb5e6f4c"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7ff95b90da90>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7ff956b26300>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641254882.847377085","description":"Error received from peer ipv4:127.0.0.1:60907","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7ff95b955c40 (stop=<tenacity.stop.stop_after_attempt object at 0x7ff95b955af0>, wait=<tenacity.w...0x7ff92a92e5b0>, before=<function before_nothing at 0x7ff92a7f6f70>, after=<function after_nothing at 0x7ff92a934af0>)>
retry_state = <tenacity.RetryCallState object at 0x7ff957af6a00>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7ff94a7664c0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-46" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 55.53 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 7m 35s
64 actionable tasks: 36 executed, 26 from cache, 2 up-to-date
Publishing build scan...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (2 retries remaining)...
https://gradle.com/s/54ojxkt25s56k
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5523
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5523/display/redirect?page=changes>
Changes:
[mmack] [BEAM-13509] Stop sharing SQS client between readers of same source.
[mmack] [BEAM-13587] Attempt to load AWS region from default provider chain in
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f5c9b9cfd00>
request = preparation_id: "job_330be2ec-980a-4517-baa7-b5f0c76adea8"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f5c9a9152e0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f5c9a7d2740>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641233501.972471301","description":"Error received from peer ipv4:127.0.0.1:52817","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f5c6e593130 (stop=<tenacity.stop.stop_after_attempt object at 0x7f5c6e593220>, wait=<tenacity.w...0x7f5c6ffa7ee0>, before=<function before_nothing at 0x7f5c6e1ebf70>, after=<function after_nothing at 0x7f5c6ffafaf0>)>
retry_state = <tenacity.RetryCallState object at 0x7f5c9a9888b0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f5c9a915b20 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 61.39 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 11m 10s
64 actionable tasks: 37 executed, 25 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/l2ymdcinfkizc
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5522
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5522/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f4f400eeca0>
request = preparation_id: "job_9338cb6b-36eb-4a4e-88a5-2839b448f82d"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f4f149120a0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f4f1480c5c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641211644.717023446","description":"Error received from peer ipv4:127.0.0.1:52419","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f4f43f46ac0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f4f43f46c40>, wait=<tenacity.w...0x7f4f12f2a430>, before=<function before_nothing at 0x7f4f12e2f0d0>, after=<function after_nothing at 0x7f4f12f25c10>)>
retry_state = <tenacity.RetryCallState object at 0x7f4f3f89b3d0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f4f3efeb910 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-103" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 55.30 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 6m 7s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/b5jawm4i2cdpy
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5521
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5521/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fd31b716190>
request = preparation_id: "job_2f2199bc-bb4f-42f1-9f79-f98528bd0e49"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fd31b716cd0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fd31ad733c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641190124.021190156","description":"Error received from peer ipv4:127.0.0.1:39929","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fd31f361c40 (stop=<tenacity.stop.stop_after_attempt object at 0x7fd31f361af0>, wait=<tenacity.w...0x7fd2efce42e0>, before=<function before_nothing at 0x7fd2ee1f80d0>, after=<function after_nothing at 0x7fd2efce8c10>)>
retry_state = <tenacity.RetryCallState object at 0x7fd31acba4f0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fd31b6c52b0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 68.82 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 8m 13s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/ukxxmmkjyozz4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5520
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5520/display/redirect>
Changes:
------------------------------------------
[...truncated 2.17 MB...]
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f235a81d160>
request = preparation_id: "job_5e089ee5-8b04-4c71-9336-adb6349331ce"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f235c9295b0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f235a7b5180>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641168574.397291419","description":"Error received from peer ipv4:127.0.0.1:45419","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f2331090970 (stop=<tenacity.stop.stop_after_attempt object at 0x7f2331090820>, wait=<tenacity.w...0x7f2360657e20>, before=<function before_nothing at 0x7f232f5390d0>, after=<function after_nothing at 0x7f2360650c10>)>
retry_state = <tenacity.RetryCallState object at 0x7f235c8f8160>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f235c929460 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
--------------------------- Captured stderr teardown ---------------------------
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
======== 34 failed, 1 passed, 17 skipped, 1 warnings in 102.03 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 9m 4s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/fir5uzqidng5e
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5519
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5519/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f6e8c860d30>
request = preparation_id: "job_63dce974-9fdf-4e64-a553-72966a1725db"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f6e8da80eb0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f6e8cbe4040>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641146771.800315783","description":"Error received from peer ipv4:127.0.0.1:36195","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f6e601d0cd0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f6e601d0b80>, wait=<tenacity.w...0x7f6e917ca370>, before=<function before_nothing at 0x7f6e603ac0d0>, after=<function after_nothing at 0x7f6e917bcc10>)>
retry_state = <tenacity.RetryCallState object at 0x7f6e885a4eb0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f6e8da80940 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-100" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 47.70 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5m 44s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/6ygmlbsdd7nss
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
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Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5518
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5518/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f1bc3fbf970>
request = preparation_id: "job_99424652-ec43-4ee9-b98b-473c5031b90f"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f1bc4112730>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f1bc422f1c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641132041.234044144","description":"Error received from peer ipv4:127.0.0.1:40055","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f1b938b9a00 (stop=<tenacity.stop.stop_after_attempt object at 0x7f1b938b98b0>, wait=<tenacity.w...0x7f1bc8e690a0>, before=<function before_nothing at 0x7f1b93d080d0>, after=<function after_nothing at 0x7f1bc8e93c10>)>
retry_state = <tenacity.RetryCallState object at 0x7f1bc3ddedf0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f1bb5c72100 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-71" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 45.12 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4m 59s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/ookkszuh6x5ka
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5517
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5517/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fc1ec69a760>
request = preparation_id: "job_10720f94-5888-456d-897a-b68436d1dc49"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fc1ec7a8bb0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fc1ecc53ac0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641103715.563464647","description":"Error received from peer ipv4:127.0.0.1:53233","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fc1c0211250 (stop=<tenacity.stop.stop_after_attempt object at 0x7fc1c0211340>, wait=<tenacity.w...0x7fc1f1792ee0>, before=<function before_nothing at 0x7fc1c066c0d0>, after=<function after_nothing at 0x7fc1f1798c10>)>
retry_state = <tenacity.RetryCallState object at 0x7fc1ed1492e0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fc1ec7a86a0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 54.52 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 8m 6s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/nrkjd3cl2bhbm
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5516
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5516/display/redirect?page=changes>
Changes:
[noreply] [BEAM-13498, BEAM-13522] Sickbay broken test and test category for Spark
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f63cfccf430>
request = preparation_id: "job_04934c91-3494-4a9d-a101-80781030812a"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f63cb8bd460>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f63cfd415c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641082058.337807836","description":"Error received from peer ipv4:127.0.0.1:51457","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f639f5246d0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f639f524580>, wait=<tenacity.w...0x7f63a54fdd30>, before=<function before_nothing at 0x7f639f9850d0>, after=<function after_nothing at 0x7f63a54ffc10>)>
retry_state = <tenacity.RetryCallState object at 0x7f63c395aa00>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f63cfc9c5b0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-102" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 51.39 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 7m 7s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/wwyicpiusqgxy
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5515
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5515/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f4b91a7dd00>
request = preparation_id: "job_55081cef-df89-43ee-b65d-1037cf1b13e5"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f4bbf0925b0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f4bbcb70900>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641060550.782591670","description":"Error received from peer ipv4:127.0.0.1:36667","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f4b91c5b2b0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f4b91c5b160>, wait=<tenacity.w...0x7f4b93557b80>, before=<function before_nothing at 0x7f4b91a2e0d0>, after=<function after_nothing at 0x7f4b9355ac10>)>
retry_state = <tenacity.RetryCallState object at 0x7f4bbd4b94c0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f4bbf0926a0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
--------------------------- Captured stderr teardown ---------------------------
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 91.88 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 8m 42s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/f4gc22n72dmyi
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5514
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5514/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f25b0fde9d0>
request = preparation_id: "job_52f00d2d-c65d-44a1-9a14-64eb55c0749d"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f25b0d4cc40>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f25b0c482c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641038794.132435959","description":"Error received from peer ipv4:127.0.0.1:49057","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f25b5c7fbe0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f25b5c7fa90>, wait=<tenacity.w...0x7f25852b9550>, before=<function before_nothing at 0x7f2584af80d0>, after=<function after_nothing at 0x7f25852b0c10>)>
retry_state = <tenacity.RetryCallState object at 0x7f25b1f9cd90>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f25a2a9d250 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 44.22 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5m 40s
64 actionable tasks: 36 executed, 26 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/ofbvsa35sgfee
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5513
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5513/display/redirect?page=changes>
Changes:
[noreply] [BEAM-12092] Bump jedis to version 3.8.0 (#16403)
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fc74d3f4bb0>
request = preparation_id: "job_096d04a3-faa8-4c54-9d4e-1630c0392439"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fc74d8e05e0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fc74d7a4480>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1641017305.237008995","description":"Error received from peer ipv4:127.0.0.1:48687","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fc720d33550 (stop=<tenacity.stop.stop_after_attempt object at 0x7fc720d332b0>, wait=<tenacity.w...0x7fc751958040>, before=<function before_nothing at 0x7fc7213a84c0>, after=<function after_nothing at 0x7fc751948040>)>
retry_state = <tenacity.RetryCallState object at 0x7fc74d3ed310>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fc74eb0e370 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-102" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 51.77 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 7m 54s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/utjhpsi3idkue
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5512
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5512/display/redirect?page=changes>
Changes:
[noreply] [BEAM-13541] Fix spotbugs issue with DLS in tail (#16407)
[noreply] [BEAM-13588] Add missing module for PVR tests and also sickbay known
[noreply] [BEAM-13575] Sickbay test that is flaky to restore precommit test signal
------------------------------------------
[...truncated 2.16 MB...]
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f3b6afb9250>
request = preparation_id: "job_6963b7a8-7d50-48aa-80b5-5eb08d28479d"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f3b6b169040>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f3b6b841300>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640996083.022214298","description":"Error received from peer ipv4:127.0.0.1:50027","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f3b6e7a2d30 (stop=<tenacity.stop.stop_after_attempt object at 0x7f3b6e7a26a0>, wait=<tenacity.w...0x7f3b6e6df5b0>, before=<function before_nothing at 0x7f3b3e1374c0>, after=<function after_nothing at 0x7f3b3e157040>)>
retry_state = <tenacity.RetryCallState object at 0x7f3b6b6781c0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f3b6b1693a0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
--------------------------- Captured stderr teardown ---------------------------
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 83.05 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 9m 25s
64 actionable tasks: 36 executed, 26 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/6f2lusl4gxvtk
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5511
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5511/display/redirect?page=changes>
Changes:
[stranniknm] [BEAM-13555] playground - quick fix for safari
[noreply] Merge pull request #15769 from [BEAM-13031] [Playground] Code editor -
------------------------------------------
[...truncated 2.17 MB...]
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f711b0caeb0>
request = preparation_id: "job_4b4bab1f-2a3f-44d8-9b34-ce1c1e4e2455"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f7119fc3940>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f7119b6f0c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640974176.397397979","description":"Error received from peer ipv4:127.0.0.1:46539","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f70edcaeb20 (stop=<tenacity.stop.stop_after_attempt object at 0x7f70edcae9d0>, wait=<tenacity.w...0x7f70ef21d1c0>, before=<function before_nothing at 0x7f70ed9f24c0>, after=<function after_nothing at 0x7f70eda19040>)>
retry_state = <tenacity.RetryCallState object at 0x7f71198051f0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f7119fc35e0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
--------------------------- Captured stderr teardown ---------------------------
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 78.98 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 9m 8s
64 actionable tasks: 36 executed, 26 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/cy4k3f5hjkl44
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5510
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5510/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f37fd8df8b0>
request = preparation_id: "job_d708b8dc-2f03-46fc-9fda-1e17232dd789"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f37fd8dfcd0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f37fdc7d600>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640952421.261533844","description":"Error received from peer ipv4:127.0.0.1:56761","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f3801e10790 (stop=<tenacity.stop.stop_after_attempt object at 0x7f3801e10640>, wait=<tenacity.w...0x7f37d17e0df0>, before=<function before_nothing at 0x7f37d17b84c0>, after=<function after_nothing at 0x7f37d17d7040>)>
retry_state = <tenacity.RetryCallState object at 0x7f37fd7f0370>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f37fd8df4f0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 44.96 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5m 55s
64 actionable tasks: 36 executed, 26 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/fjrobz7cjyuxs
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5509
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5509/display/redirect?page=changes>
Changes:
[noreply] [BEAM-13484][Playground] Improve Terraform Scripts For Deploy
[noreply] [BEAM-13541] More intelligent caching of CoGBK values. (#16354)
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fd98948e5b0>
request = preparation_id: "job_a06ec5ab-a540-423d-a4d4-1707d40f712d"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fd95d868f40>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fd990f7d500>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640930969.963054862","description":"Error received from peer ipv4:127.0.0.1:42413","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fd98d8fae80 (stop=<tenacity.stop.stop_after_attempt object at 0x7fd98d8fad30>, wait=<tenacity.w...0x7fd95d333520>, before=<function before_nothing at 0x7fd95d2f74c0>, after=<function after_nothing at 0x7fd95d330040>)>
retry_state = <tenacity.RetryCallState object at 0x7fd9848d88b0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fd98528dac0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-92" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 51.95 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 9m 2s
64 actionable tasks: 38 executed, 24 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/t556ov4upikwa
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
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Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5508
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5508/display/redirect?page=changes>
Changes:
[zyichi] Fix class not found in perf integration tests.
[noreply] Update
[noreply] [BEAM-13430] Fix class not found error for example integration tests and
[noreply] [BEAM-13430] Re-enable dependency analysis for modules. (#16395)
------------------------------------------
[...truncated 2.16 MB...]
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fbe857460a0>
request = preparation_id: "job_0216fe65-8be8-4fe5-a5e3-06e8b63cd7de"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fbe8548e1f0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fbe854b2980>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640909460.426789387","description":"Error received from peer ipv4:127.0.0.1:56783","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fbe8982dd90 (stop=<tenacity.stop.stop_after_attempt object at 0x7fbe8982dc40>, wait=<tenacity.w...0x7fbe594eb430>, before=<function before_nothing at 0x7fbe592774c0>, after=<function after_nothing at 0x7fbe59298040>)>
retry_state = <tenacity.RetryCallState object at 0x7fbe8677c280>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fbe8548ee80 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
--------------------------- Captured stderr teardown ---------------------------
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 57.37 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 10m 35s
64 actionable tasks: 37 executed, 25 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/ofnjv5sgao7k2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5507
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5507/display/redirect?page=changes>
Changes:
[mmack] [BEAM-13009] Fix tests to ensure absence of duplicates only per request
[mmack] [adhoc] Use predefined min/max combiners in SQS reader to gather stats
------------------------------------------
[...truncated 2.17 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f1336ebd970>
request = preparation_id: "job_f641d5ba-eb1e-4d7e-90f8-119e3a8f66c2"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f1336ebd400>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f1336e32780>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640887752.352199442","description":"Error received from peer ipv4:127.0.0.1:38989","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f130a532e50 (stop=<tenacity.stop.stop_after_attempt object at 0x7f130a5326a0>, wait=<tenacity.w...0x7f130a2c0e50>, before=<function before_nothing at 0x7f130a28b4c0>, after=<function after_nothing at 0x7f133a873040>)>
retry_state = <tenacity.RetryCallState object at 0x7f1337787490>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f1336e85850 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 46.80 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.37.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 8m 42s
79 actionable tasks: 52 executed, 25 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/2ohpjwuwy7wj4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5506
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5506/display/redirect>
Changes:
------------------------------------------
[...truncated 2.17 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f1db0fe2b50>
request = preparation_id: "job_5c880a7e-566f-42cd-8261-83372f2963ae"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f1db25e3be0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f1db12327c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640866212.770703196","description":"Error received from peer ipv4:127.0.0.1:45229","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f1db54e7eb0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f1db54e7d60>, wait=<tenacity.w...0x7f1db5419550>, before=<function before_nothing at 0x7f1d84e9d4c0>, after=<function after_nothing at 0x7f1d84ebc040>)>
retry_state = <tenacity.RetryCallState object at 0x7f1db23fd520>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f1db22e9cd0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 55.63 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.37.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 9m 42s
79 actionable tasks: 50 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/kaja7kyr6p6zy
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5505
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5505/display/redirect?page=changes>
Changes:
[Steve Niemitz] [BEAM-13488] Work around bug in classpath detection
[Steve Niemitz] [BEAM-13459] Cache artifacts across job runs on python+dataflow
[Kyle Weaver] [BEAM-13581] Remove previous job name for Flink PVR precommit.
[emilyye] Moving to 2.37.0-SNAPSHOT on master branch.
[noreply] Release website update for Beam 2.35.0 (#16115)
[noreply] [BEAM-13430] Re-enable checkerframework for the project excluding the
------------------------------------------
[...truncated 2.17 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f7581f17370>
request = preparation_id: "job_5c6fca2e-14b2-4a58-b5b0-f57ed0ee1b17"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f759031a4f0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f7590422900>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640844646.765420957","description":"Error received from peer ipv4:127.0.0.1:44375","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f75945ac040 (stop=<tenacity.stop.stop_after_attempt object at 0x7f75945ac340>, wait=<tenacity.w...0x7f75944f2040>, before=<function before_nothing at 0x7f755ff414c0>, after=<function after_nothing at 0x7f75944e7040>)>
retry_state = <tenacity.RetryCallState object at 0x7f7591352280>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f75901484c0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 45.17 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.37.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 10m 16s
79 actionable tasks: 53 executed, 24 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/frcks2s2n6bki
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
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Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5504
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5504/display/redirect?page=changes>
Changes:
[noreply] [BEAM-13578] Validate that repeatable PipelineOptions need to be
[noreply] [BEAM-13430] Update comment over eclipse plugin. (#16387)
[zyichi] [BEAM-13430] Fix broken ULR validates runner tests
[noreply] Update venv creation commands in release scripts. (#16381)
[noreply] [BEAM-12777] Stable URL for current API docs (#16327)
[noreply] [BEAM-13539] correct resource override dependencies (#16392)
------------------------------------------
[...truncated 2.16 MB...]
state_stream = self.job_service.GetStateStream(
beam_job_api_pb2.GetJobStateRequest(job_id=preparation_id),
timeout=self.timeout)
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f8369311280>
request = preparation_id: "job_72af8434-ee0e-49ba-bfc0-d162c7eb1a99"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f8369311a60>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f836913b440>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640822982.462599418","description":"Error received from peer ipv4:127.0.0.1:58313","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f833e787c10 (stop=<tenacity.stop.stop_after_attempt object at 0x7f833e787ac0>, wait=<tenacity.w...0x7f833e6592b0>, before=<function before_nothing at 0x7f833e636430>, after=<function after_nothing at 0x7f833e663f70>)>
retry_state = <tenacity.RetryCallState object at 0x7f836b9a4310>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f83693e2d60 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-101" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 52.93 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 7m 12s
64 actionable tasks: 37 executed, 25 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/q5x6nu5iz3p42
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5503
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5503/display/redirect>
Changes:
------------------------------------------
[...truncated 2.18 MB...]
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fdc43a2ab20>
request = preparation_id: "job_b02628b2-2060-4198-807b-0f45abaed7dd"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fdc43d2a100>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fdc4881acc0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640802648.663960557","description":"Error received from peer ipv4:127.0.0.1:38389","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fdc17680040 (stop=<tenacity.stop.stop_after_attempt object at 0x7fdc17680310>, wait=<tenacity.w...0x7fdc4c2e4040>, before=<function before_nothing at 0x7fdc17d013a0>, after=<function after_nothing at 0x7fdc17d37ee0>)>
retry_state = <tenacity.RetryCallState object at 0x7fdc485cd400>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fdc488f2ac0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
--------------------------- Captured stderr teardown ---------------------------
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 77.52 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 23m 7s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/dald3455bq3lm
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5502
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5502/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fa7025d7d60>
request = preparation_id: "job_1a48a113-69fb-4c4b-99db-5cfbe8775e65"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fa703294880>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fa7023f22c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640779763.288471202","description":"Error received from peer ipv4:127.0.0.1:40221","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fa6d5e32bb0 (stop=<tenacity.stop.stop_after_attempt object at 0x7fa6d5e32a60>, wait=<tenacity.w...0x7fa6d5de83d0>, before=<function before_nothing at 0x7fa6d5baf3a0>, after=<function after_nothing at 0x7fa6d5bdfee0>)>
retry_state = <tenacity.RetryCallState object at 0x7fa702443910>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fa703294d60 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 51.48 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 8m 5s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/zwlt3lm3dcw3w
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5501
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5501/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f23fcf42760>
request = preparation_id: "job_46fb6727-84bf-4964-a2c9-96594eab7103"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f23fcd55880>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f23fcd2ecc0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640758058.763188168","description":"Error received from peer ipv4:127.0.0.1:53369","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f23cb9ac550 (stop=<tenacity.stop.stop_after_attempt object at 0x7f23cb9ac9a0>, wait=<tenacity.w...0x7f23cb899d30>, before=<function before_nothing at 0x7f23cb8773a0>, after=<function after_nothing at 0x7f23cb898ee0>)>
retry_state = <tenacity.RetryCallState object at 0x7f23fce6c370>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f23fcf0fdf0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 49.18 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 7m 8s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/5v43eltkmfvqq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5500
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5500/display/redirect?page=changes>
Changes:
[dpcollins] [BEAM-13402] Simplify PubsubLiteSink
[Kyle Weaver] [BEAM-13571] Fix ClassNotFound exception in Flink tests
[Kyle Weaver] [BEAM-13498] [BEAM-13573] exclude new tests on Flink
[noreply] Exclude UsesOnWindowExpiration by category from Dataflow v2 streaming
[noreply] [BEAM-13052] Increment pubsub python version and fix breakages. (#16126)
[noreply] [BEAM-13052] Add Pub/Sub Lite xlang transforms in python (#15727)
[noreply] [BEAM-13402] Version bump Pub/Sub Lite and implement changes to ensure
------------------------------------------
[...truncated 2.16 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fedc2880280>
request = preparation_id: "job_38e6a823-dde8-492e-920f-aa5e2cbabf91"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fedc2bd12e0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fedc2c46500>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640736661.403652565","description":"Error received from peer ipv4:127.0.0.1:47001","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fed9a2be340 (stop=<tenacity.stop.stop_after_attempt object at 0x7fed9a2be1f0>, wait=<tenacity.w...0x7fed98c2f9a0>, before=<function before_nothing at 0x7fed9876bdc0>, after=<function after_nothing at 0x7fed98c34940>)>
retry_state = <tenacity.RetryCallState object at 0x7fedc5bc5b50>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fedc285fa90 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 60.46 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 9m 53s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/jaaawo4nghucc
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5499
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5499/display/redirect?page=changes>
Changes:
[Kyle Weaver] [BEAM-13521] flink pvr batch precommit
------------------------------------------
[...truncated 2.16 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7ff9b2bb0b50>
request = preparation_id: "job_baed609b-cec6-4d96-9e30-54f9e1198408"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7ff9b2bb0520>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7ff9b3f58ac0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640714991.137844808","description":"Error received from peer ipv4:127.0.0.1:41049","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7ff986dc4580 (stop=<tenacity.stop.stop_after_attempt object at 0x7ff986dc4430>, wait=<tenacity.w...0x7ff986ca6be0>, before=<function before_nothing at 0x7ff986930ee0>, after=<function after_nothing at 0x7ff986ca8a60>)>
retry_state = <tenacity.RetryCallState object at 0x7ff9ab011370>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7ff9b2b19970 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 62.80 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 8m 28s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/zoeilmztfxlzc
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5498
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5498/display/redirect?page=changes>
Changes:
[noreply] [BEAM-13526] Kafka.IO: make DeserializerProvider a public interface
------------------------------------------
[...truncated 2.16 MB...]
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fa1ab1a3460>
request = preparation_id: "job_1f849bd2-5f15-497a-8ee3-716617f6d64a"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fa1ab2f1f40>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fa1ab16fdc0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640693252.264796773","description":"Error received from peer ipv4:127.0.0.1:55091","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fa1aef61a60 (stop=<tenacity.stop.stop_after_attempt object at 0x7fa1aef61940>, wait=<tenacity.w...0x7fa1aefaeb20>, before=<function before_nothing at 0x7fa17ddebee0>, after=<function after_nothing at 0x7fa1aefbba60>)>
retry_state = <tenacity.RetryCallState object at 0x7fa1ab0941c0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fa1ab0748b0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 49.53 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 7m 4s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (2 retries remaining)...
https://gradle.com/s/ouaqfmlimtqgi
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5497
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5497/display/redirect>
Changes:
------------------------------------------
[...truncated 2.17 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f611eb158e0>
request = preparation_id: "job_a5c0d6d9-48dc-4462-9275-08e2ab765208"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f611fd9e880>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f611ec2e080>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640671638.561786215","description":"Error received from peer ipv4:127.0.0.1:51587","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f60f1f35310 (stop=<tenacity.stop.stop_after_attempt object at 0x7f60f1f351c0>, wait=<tenacity.w...0x7f60f25d7970>, before=<function before_nothing at 0x7f60f25b0790>, after=<function after_nothing at 0x7f60f25d9310>)>
retry_state = <tenacity.RetryCallState object at 0x7f611f908910>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f611eb15400 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 43.62 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 6m 48s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/6xeisjiivbzoc
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5496
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5496/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fb637048b50>
request = preparation_id: "job_ce332dad-6cbd-42df-b4ce-661f40158272"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fb637022730>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fb64086ea80>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640650095.420673250","description":"Error received from peer ipv4:127.0.0.1:37589","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fb60f348760 (stop=<tenacity.stop.stop_after_attempt object at 0x7fb60f348610>, wait=<tenacity.w...0x7fb60f9c5d60>, before=<function before_nothing at 0x7fb60f9ba790>, after=<function after_nothing at 0x7fb60f9d7310>)>
retry_state = <tenacity.RetryCallState object at 0x7fb63ff2d850>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fb63feff340 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 57.84 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 7m 44s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (2 retries remaining)...
https://gradle.com/s/xjkdiej327pmi
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5495
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5495/display/redirect?page=changes>
Changes:
[mmack] [adhoc] Forbid to import guava and others from org.testcontainers.shaded
------------------------------------------
[...truncated 2.17 MB...]
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f63ea3d79a0>
request = preparation_id: "job_62379617-1f9b-4546-a62c-482ad08eed94"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f63eb533f10>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f63eee3dfc0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640628669.197818009","description":"Error received from peer ipv4:127.0.0.1:39377","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f63bdfbb0a0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f63bdfbff10>, wait=<tenacity.w...0x7f63c1ea5700>, before=<function before_nothing at 0x7f63c1e79790>, after=<function after_nothing at 0x7f63c1e82310>)>
retry_state = <tenacity.RetryCallState object at 0x7f63ea2e7610>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f63e8a33b50 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
--------------------------- Captured stderr teardown ---------------------------
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
======== 34 failed, 1 passed, 17 skipped, 1 warnings in 111.62 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 10m 41s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/6sodzhee53srs
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5494
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5494/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f52032aec40>
request = preparation_id: "job_6195da8e-d7d9-41b9-8164-ffd3f2c8cb56"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f52035812b0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f51f494ff80>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640606910.509550477","description":"Error received from peer ipv4:127.0.0.1:56029","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f51d6c03550 (stop=<tenacity.stop.stop_after_attempt object at 0x7f51d6c03400>, wait=<tenacity.w...0x7f5206ff6b80>, before=<function before_nothing at 0x7f5206fdb790>, after=<function after_nothing at 0x7f5206ff8310>)>
retry_state = <tenacity.RetryCallState object at 0x7f51f70879d0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f51f7081af0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 51.36 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 7m 7s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (2 retries remaining)...
https://gradle.com/s/jep5ytj7gn2tq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5493
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5493/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f104b1a2ac0>
request = preparation_id: "job_92490961-4b4e-488e-a715-9e3a80fe151c"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f104b19f610>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f1049de3340>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640585280.647375089","description":"Error received from peer ipv4:127.0.0.1:54677","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f101d4b65e0 (stop=<tenacity.stop.stop_after_attempt object at 0x7f101d4b6490>, wait=<tenacity.w...0x7f101db43c40>, before=<function before_nothing at 0x7f101db39790>, after=<function after_nothing at 0x7f101db5c310>)>
retry_state = <tenacity.RetryCallState object at 0x7f104b0629d0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f104b02e2b0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-99" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 47.15 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 7m 30s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/qvyhqfggpejhm
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5492
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5492/display/redirect>
Changes:
------------------------------------------
[...truncated 2.17 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fc9d84cb1c0>
request = preparation_id: "job_faaf663a-8f07-4fc2-8aca-e70939c22439"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fc9d8540400>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fc9d9b23ac0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640563703.549186794","description":"Error received from peer ipv4:127.0.0.1:36227","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fc9a7cdf580 (stop=<tenacity.stop.stop_after_attempt object at 0x7fc9a7cdf430>, wait=<tenacity.w...0x7fc9ac3ccbe0>, before=<function before_nothing at 0x7fc9ac3e3790>, after=<function after_nothing at 0x7fc9ac3c4310>)>
retry_state = <tenacity.RetryCallState object at 0x7fc9d9929a30>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fc9d8540fd0 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 45.32 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 7m 55s
64 actionable tasks: 36 executed, 26 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/5wdtsj42gnhaq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5491
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5491/display/redirect?page=changes>
Changes:
[noreply] Merge pull request #16285 from [BEAM-13492][Playground] Update backend
------------------------------------------
[...truncated 2.16 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fd11d281be0>
request = preparation_id: "job_f8d9f9bc-00f0-490d-b77d-138c3c55a697"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fd11c100fa0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fd11d29b7c0>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640542074.670074288","description":"Error received from peer ipv4:127.0.0.1:53657","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fd0f00d22b0 (stop=<tenacity.stop.stop_after_attempt object at 0x7fd0f00d2160>, wait=<tenacity.w...0x7fd0ebc9e910>, before=<function before_nothing at 0x7fd0ebcb8790>, after=<function after_nothing at 0x7fd0ebc9b310>)>
retry_state = <tenacity.RetryCallState object at 0x7fd11d199970>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fd11c100a60 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-71" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 46.72 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 7m 25s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/6r46l3es6uyfw
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5490
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5490/display/redirect>
Changes:
------------------------------------------
[...truncated 2.17 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7ff66395f400>
request = preparation_id: "job_035a7638-1873-4422-b85d-aa75c8975f02"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7ff664491040>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7ff663a88c80>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640520682.232032122","description":"Error received from peer ipv4:127.0.0.1:48081","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7ff636a82520 (stop=<tenacity.stop.stop_after_attempt object at 0x7ff636a823d0>, wait=<tenacity.w...0x7ff63714c6d0>, before=<function before_nothing at 0x7ff637161790>, after=<function after_nothing at 0x7ff637143310>)>
retry_state = <tenacity.RetryCallState object at 0x7ff664584940>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7ff664491790 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 58.19 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 10m 51s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/gkwl54dyam7kq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5489
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5489/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7f0d3f3b3670>
request = preparation_id: "job_de20dff5-cfb9-40f5-af3b-c448ea437f18"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f0d3a798400>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f0d3f1e4f00>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640498926.797936898","description":"Error received from peer ipv4:127.0.0.1:56855","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7f0d14a3e190 (stop=<tenacity.stop.stop_after_attempt object at 0x7f0d14a3e040>, wait=<tenacity.w...0x7f0d1340e7f0>, before=<function before_nothing at 0x7f0d133eb790>, after=<function after_nothing at 0x7f0d13408310>)>
retry_state = <tenacity.RetryCallState object at 0x7f0d379053d0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7f0d3a798b50 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
--------------------------- Captured stderr teardown ---------------------------
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 56.43 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 8m 16s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/skw3gkdosihmu
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5488
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5488/display/redirect?page=changes>
Changes:
[alexander.zhuravlev] [BEAM-13530] Fixed scrollbar in the Output section
[noreply] Merge pull request #16355 from [BEAM-13529] [Playground] [Bugfix] Fix
[noreply] Fixed grammar error in Go ParDo function comments. (#16329)
------------------------------------------
[...truncated 2.16 MB...]
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7ff82d88dc70>
request = preparation_id: "job_addb14f2-66ca-4f2d-80b6-8240279eb067"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7ff8054ff130>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7ff82d6d2900>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640477236.694371218","description":"Error received from peer ipv4:127.0.0.1:49401","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7ff831ab65e0 (stop=<tenacity.stop.stop_after_attempt object at 0x7ff831ab6490>, wait=<tenacity.w...0x7ff831afbc40>, before=<function before_nothing at 0x7ff831aea790>, after=<function after_nothing at 0x7ff831b05310>)>
retry_state = <tenacity.RetryCallState object at 0x7ff82d8508e0>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7ff81f2f7910 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 50.44 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 6m 47s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (2 retries remaining)...
https://gradle.com/s/ju7qospckbwzu
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Python_VR_Spark #5487
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/5487/display/redirect>
Changes:
------------------------------------------
[...truncated 2.16 MB...]
# If there's an error, we don't always get it until we try to read.
# Fortunately, there's always an immediate current state published.
state_stream = itertools.chain([next(state_stream)], state_stream)
message_stream = self.job_service.GetMessageStream(
beam_job_api_pb2.JobMessagesRequest(job_id=preparation_id),
timeout=self.timeout)
except Exception:
# TODO(BEAM-6442): Unify preparation_id and job_id for all runners.
state_stream = message_stream = None
# Run the job and wait for a result, we don't set a timeout here because
# it may take a long time for a job to complete and streaming
# jobs currently never return a response.
> run_response = self.job_service.Run(
beam_job_api_pb2.RunJobRequest(preparation_id=preparation_id))
apache_beam/runners/portability/portable_runner.py:241:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fdce908c970>
request = preparation_id: "job_c1a415e7-7662-4bd8-8e6d-af9e4e72f3c5"
timeout = None, metadata = None, 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)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fdcdf0efdc0>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fdce8e2d180>
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.UNKNOWN
E details = ""
E debug_error_string = "{"created":"@1640455917.111685184","description":"Error received from peer ipv4:127.0.0.1:48803","file":"src/core/lib/surface/call.cc","file_line":1074,"grpc_message":"","grpc_status":2}"
E >
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/grpc/_channel.py:849: _InactiveRpcError
The above exception was the direct cause of the following exception:
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:293: in wrapped_f
return self.call(f, *args, **kw)
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:359: in call
do = self.iter(retry_state=retry_state)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <Retrying object at 0x7fdced3aef10 (stop=<tenacity.stop.stop_after_attempt object at 0x7fdced3aedc0>, wait=<tenacity.w...0x7fdcbc444a00>, before=<function before_nothing at 0x7fdcbc43c790>, after=<function after_nothing at 0x7fdcbc445310>)>
retry_state = <tenacity.RetryCallState object at 0x7fdce8d33b20>
def iter(self, retry_state): # noqa
fut = retry_state.outcome
if fut is None:
if self.before is not None:
self.before(retry_state)
return DoAttempt()
is_explicit_retry = retry_state.outcome.failed \
and isinstance(retry_state.outcome.exception(), TryAgain)
if not (is_explicit_retry or self.retry(retry_state=retry_state)):
return fut.result()
if self.after is not None:
self.after(retry_state=retry_state)
self.statistics['delay_since_first_attempt'] = \
retry_state.seconds_since_start
if self.stop(retry_state=retry_state):
if self.retry_error_callback:
return self.retry_error_callback(retry_state=retry_state)
retry_exc = self.retry_error_cls(fut)
if self.reraise:
raise retry_exc.reraise()
> six.raise_from(retry_exc, fut.exception())
E tenacity.RetryError: RetryError[<Future at 0x7fdce8cd6070 state=finished raised _InactiveRpcError>]
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/__init__.py:333: RetryError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-105" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-106" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
Exception in thread "grpc-default-executor-107" java.lang.NoClassDefFoundError: org/apache/spark/streaming/api/java/JavaStreamingListener
at org.apache.beam.runners.spark.SparkJobInvoker.createJobInvocation(SparkJobInvoker.java:101)
at org.apache.beam.runners.spark.SparkJobInvoker.invokeWithExecutor(SparkJobInvoker.java:82)
at org.apache.beam.runners.jobsubmission.JobInvoker.invoke(JobInvoker.java:48)
at org.apache.beam.runners.jobsubmission.InMemoryJobService.run(InMemoryJobService.java:246)
at org.apache.beam.model.jobmanagement.v1.JobServiceGrpc$MethodHandlers.invoke(JobServiceGrpc.java:948)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:797)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
at org.apache.beam.vendor.grpc.v1p36p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.streaming.api.java.JavaStreamingListener
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 17 more
------------------------------ Captured log call -------------------------------
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
WARNING root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter.
=============================== warnings summary ===============================
target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/target/.tox-spark-runner-test/spark-runner-test/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/pytest_spark-runner-test.xml> -
========= 34 failed, 1 passed, 17 skipped, 1 warnings in 55.88 seconds =========
[31mERROR: InvocationError for command <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/pytest_validates_runner.sh> spark-runner-test apache_beam/runners/portability/spark_runner_test.py '--spark_job_server_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/runners/spark/2/job-server/build/libs/beam-runners-spark-job-server-2.36.0-SNAPSHOT.jar> --environment_type=LOOPBACK' (exited with code 1)
[0m[1mspark-runner-test run-test-post: commands[0] | bash <https://ci-beam.apache.org/job/beam_PostCommit_Python_VR_Spark/ws/src/sdks/python/test-suites/portable/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
[0m___________________________________ summary ____________________________________
[31mERROR: spark-runner-test: commands failed
[0m
> Task :sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py36:sparkCompatibilityMatrixLOOPBACK'.
> 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:portable:py37:sparkCompatibilityMatrixLOOPBACK'.
> 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.
==============================================================================
3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:portable:py38:sparkCompatibilityMatrixLOOPBACK'.
> 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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 11m 29s
64 actionable tasks: 35 executed, 27 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/h2vsz2zx7qpck
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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