See
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/4701/display/redirect>
Changes:
------------------------------------------
[...truncated 9.12 MB...]
INFO:root:severity: INFO
timestamp {
seconds: 1697144112
nanos: 357076883
}
message: "Python sdk harness exiting."
log_location:
"/usr/local/lib/python3.8/site-packages/apache_beam/runners/worker/sdk_worker_main.py:211"
thread: "MainThread"
INFO:apache_beam.runners.portability.local_job_service:Completed job in
40.998517751693726 seconds with state DONE.
INFO:root:Completed job in 40.998517751693726 seconds with state DONE.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
> Task :sdks:python:test-suites:portable:py38:portableWordCountSparkRunnerBatch
INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at
localhost:41117
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
<function pack_combiners at 0x7f7b86b6f0d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
<function lift_combiners at 0x7f7b86b6f160> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
<function sort_stages at 0x7f7b86b6f8b0> ====================
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar'
'<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/runners/spark/3/job-server/build/libs/beam-runners-spark-3-job-server-2.52.0-SNAPSHOT.jar'>
'--spark-master-url' 'local[4]' '--artifacts-dir'
'/tmp/beam-tempoh344inr/artifactsgvn72fjh' '--job-port' '52301'
'--artifact-port' '0' '--expansion-port' '0']
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:30 WARN
software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to
retrieve the requested metadata.
WARNING:root:Waiting for grpc channel to be ready at localhost:52301.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:31 INFO
org.apache.beam.runners.jobsubmission.JobServerDriver: ArtifactStagingService
started on localhost:43985
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:31 INFO
org.apache.beam.runners.jobsubmission.JobServerDriver: Java ExpansionService
started on localhost:33721
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:31 INFO
org.apache.beam.runners.jobsubmission.JobServerDriver: JobService started on
localhost:52301
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:31 INFO
org.apache.beam.runners.jobsubmission.JobServerDriver: Job server now running,
terminate with Ctrl+C
WARNING:root:Waiting for grpc channel to be ready at localhost:52301.
WARNING:root:Waiting for grpc channel to be ready at localhost:52301.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:34 INFO
org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Staging
artifacts for job_3f68ba73-c762-4426-9e3d-10610a87d881.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:34 INFO
org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Resolving
artifacts for
job_3f68ba73-c762-4426-9e3d-10610a87d881.ref_Environment_default_environment_1.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:34 INFO
org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Getting 1
artifacts for job_3f68ba73-c762-4426-9e3d-10610a87d881.null.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:34 INFO
org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Artifacts
fully staged for job_3f68ba73-c762-4426-9e3d-10610a87d881.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:35 INFO
org.apache.beam.runners.spark.SparkJobInvoker: Invoking job
BeamApp-jenkins-1012205535-995dfd3a_62f9de8b-fa77-4150-b8c5-4fc996337f18
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:35 INFO
org.apache.beam.runners.jobsubmission.JobInvocation: Starting job invocation
BeamApp-jenkins-1012205535-995dfd3a_62f9de8b-fa77-4150-b8c5-4fc996337f18
INFO:apache_beam.runners.portability.portable_runner:Environment "LOOPBACK" has
started a component necessary for the execution. Be sure to run the pipeline
using
with Pipeline() as p:
p.apply(..)
This ensures that the pipeline finishes before this program exits.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
RUNNING
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:36 INFO
org.apache.beam.runners.spark.translation.SparkContextFactory: Creating a brand
new Spark Context.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:37 WARN
org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:38 INFO
org.sparkproject.jetty.util.log: Logging initialized @12546ms to
org.sparkproject.jetty.util.log.Slf4jLog
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:38 INFO
org.sparkproject.jetty.server.Server: jetty-9.4.44.v20210927; built:
2021-09-27T23:02:44.612Z; git: 8da83308eeca865e495e53ef315a249d63ba9332; jvm
1.8.0_382-8u382-ga-1~20.04.1-b05
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.Server: Started @12670ms
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.AbstractConnector: Started
ServerConnector@13f03ec5{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@d5f7aba{/jobs,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@3789e136{/jobs/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@5934f37c{/jobs/job,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@46235ce3{/jobs/job/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@17c973af{/stages,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@5a14d233{/stages/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@29039084{/stages/stage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@2f9ecbd4{/stages/stage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@1de3e2ba{/stages/pool,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@395640c2{/stages/pool/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@7e3e7b52{/storage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@6a8ecb0e{/storage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@4e06a1e0{/storage/rdd,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@1d6b4a70{/storage/rdd/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@58793ddf{/environment,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@1790ff29{/environment/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@79edcf4a{/executors,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@416f3022{/executors/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@6232af49{/executors/threadDump,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@3cb0db0b{/executors/threadDump/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@2b94ea65{/static,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@22ba7b19{/,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@7b10254b{/api,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@5d82bd07{/jobs/job/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@19fada59{/stages/stage/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.sparkproject.jetty.server.handler.ContextHandler: Started
o.s.j.s.ServletContextHandler@4beee819{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics
accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 WARN
software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to
retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:39 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Running job
BeamApp-jenkins-1012205535-995dfd3a_62f9de8b-fa77-4150-b8c5-4fc996337f18 on
Spark master local[4]
INFO:apache_beam.runners.worker.statecache:Creating state cache with size
104857600
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure control channel
for localhost:35345.
INFO:apache_beam.runners.worker.sdk_worker:Control channel established.
INFO:apache_beam.runners.worker.sdk_worker:Initializing SDKHarness with
unbounded number of workers.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:42 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam
Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:42 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-2
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure state channel for
localhost:34777.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for
localhost:40439
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:42 INFO
org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client
connected.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:42 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:42 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-4
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:42 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-5
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-7
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Job
BeamApp-jenkins-1012205535-995dfd3a_62f9de8b-fa77-4150-b8c5-4fc996337f18:
Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService:
getProcessBundleDescriptor request with id 1-16
INFO:apache_beam.io.filebasedsink:Starting finalize_write threads with
num_shards: 4 (skipped: 0), batches: 4, num_threads: 4
INFO:apache_beam.io.filebasedsink:Renamed 4 shards in 0.01 seconds.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.apache.beam.runners.spark.SparkPipelineRunner: Job
BeamApp-jenkins-1012205535-995dfd3a_62f9de8b-fa77-4150-b8c5-4fc996337f18
finished.
INFO:apache_beam.utils.subprocess_server:23/10/12 20:55:43 INFO
org.sparkproject.jetty.server.AbstractConnector: Stopped
Spark@13f03ec5{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
Exception in thread run_worker_1-1:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py";,>
line 262, in run
for work_request in self._control_stub.Control(get_responses()):
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 541, in __next__
ERROR:apache_beam.runners.worker.data_plane:Failed to read inputs in the data
plane.
Traceback (most recent call last):
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py";,>
line 652, in _read_inputs
for elements in elements_iterator:
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 541, in __next__
return self._next()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 967, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that
terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:40439 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-12T20:55:44.364119742+00:00"}"
>
Exception in thread read_grpc_client_inputs:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
return self._next()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 967, in _next
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that
terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:35345 {created_time:"2023-10-12T20:55:44.364127152+00:00",
grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>
self._target(*self._args, **self._kwargs)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py";,>
line 669, in <lambda>
target=lambda: self._read_inputs(elements_iterator),
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py";,>
line 652, in _read_inputs
for elements in elements_iterator:
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 541, in __next__
return self._next()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 967, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that
terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:40439 {grpc_message:"Socket closed", grpc_status:14,
created_time:"2023-10-12T20:55:44.364119742+00:00"}"
>
Exception in thread read_state:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py";,>
line 1035, in pull_responses
for response in responses:
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 541, in __next__
return self._next()
File
"<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/2022703442/lib/python3.8/site-packages/grpc/_channel.py";,>
line 967, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that
terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer
ipv6:%5B::1%5D:34777 {created_time:"2023-10-12T20:55:44.364126649+00:00",
grpc_status:14, grpc_message:"Socket closed"}"
>
> Task :sdks:python:test-suites:portable:py38:postCommitPy38
> Task :sdks:python:test-suites:dataflow:py38:inferencePostCommitIT
> Task :sdks:python:test-suites:dataflow:py38:postCommitIT
2023-10-12 21:05:57.753922: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:57.826189: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:57.827005: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-12 21:05:57.829140: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:57.906048: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:57.906853: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-12 21:05:57.954722: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:57.968381: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.022530: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.023330: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-12 21:05:58.072408: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.073346: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-12 21:05:58.232697: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.300848: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.301645: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-12 21:05:58.430794: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.509092: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.509883: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-12 21:05:58.569386: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.671146: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:58.672072: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-12 21:05:59.011639: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:59.110408: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-12 21:05:59.112134: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not
find cuda drivers on your machine, GPU will not be used.
2023-10-12 21:05:59.113025: I
tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is
optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild
TensorFlow with the appropriate compiler flags.
2023-10-12 21:05:59.153070: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-12 21:05:59.296570: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-12 21:05:59.593406: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-12 21:05:59.972676: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-12 21:06:00.269514: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-12 21:06:00.513296: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
2023-10-12 21:06:00.850519: W
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not
find TensorRT
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8>:
No module named build
> Task :sdks:python:test-suites:dataflow:py38:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 139
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py38:postCommitIT'.
> Process 'command 'sh'' finished with non-zero exit value 1
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Get more help at https://help.gradle.org.
Deprecated Gradle features were used in this build, making it incompatible with
Gradle 9.0.
You can use '--warning-mode all' to show the individual deprecation warnings
and determine if they come from your own scripts or plugins.
For more on this, please refer to
https://docs.gradle.org/8.3/userguide/command_line_interface.html#sec:command_line_warnings
in the Gradle documentation.
BUILD FAILED in 3h 20m 15s
221 actionable tasks: 163 executed, 54 from cache, 4 up-to-date
Publishing build scan...
https://ge.apache.org/s/d4ljizbco727g
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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