See 
<https://ci-beam.apache.org/job/beam_PostCommit_Python38/4853/display/redirect>

Changes:


------------------------------------------
[...truncated 8.69 MB...]
  seconds: 1700901729
  nanos: 124576568
}
message: "Python sdk harness exiting."
log_location: 
"/usr/local/lib/python3.8/site-packages/apache_beam/runners/worker/sdk_worker_main.py:213"
thread: "MainThread"

747e4d1655c8dbfa58147aa6f9673fcbef4374c85a4d1f5d3881547c5d0597e1
INFO:apache_beam.runners.portability.local_job_service:Completed job in 
21.63329839706421 seconds with state DONE.
INFO:root:Completed job in 21.63329839706421 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:45103
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
 <function pack_combiners at 0x7f7d24ce1310> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
 <function lift_combiners at 0x7f7d24ce13a0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
 <function sort_stages at 0x7f7d24ce1af0> ====================
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-2.53.0-SNAPSHOT.jar'>
 '--spark-master-url' 'local[4]' '--artifacts-dir' 
'/tmp/beam-temppgujfm97/artifacts0lc816g0' '--job-port' '46459' 
'--artifact-port' '0' '--expansion-port' '0']
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:15 WARN 
software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to 
retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:15 INFO 
org.apache.beam.runners.jobsubmission.JobServerDriver: ArtifactStagingService 
started on localhost:32897
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:15 INFO 
org.apache.beam.runners.jobsubmission.JobServerDriver: Java ExpansionService 
started on localhost:36431
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:15 INFO 
org.apache.beam.runners.jobsubmission.JobServerDriver: JobService started on 
localhost:46459
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:15 INFO 
org.apache.beam.runners.jobsubmission.JobServerDriver: Job server now running, 
terminate with Ctrl+C
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:17 INFO 
org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Staging 
artifacts for job_275b5d7c-4d79-4585-ac23-a9c1ec949845.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:17 INFO 
org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Resolving 
artifacts for 
job_275b5d7c-4d79-4585-ac23-a9c1ec949845.ref_Environment_default_environment_1.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:17 INFO 
org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Getting 1 
artifacts for job_275b5d7c-4d79-4585-ac23-a9c1ec949845.null.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:17 INFO 
org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Artifacts 
fully staged for job_275b5d7c-4d79-4585-ac23-a9c1ec949845.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:18 INFO 
org.apache.beam.runners.spark.SparkJobInvoker: Invoking job 
BeamApp-jenkins-1125084218-eb08a044_7f66c098-1011-4fe3-8e5f-7bbea2e84641
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:18 INFO 
org.apache.beam.runners.jobsubmission.JobInvocation: Starting job invocation 
BeamApp-jenkins-1125084218-eb08a044_7f66c098-1011-4fe3-8e5f-7bbea2e84641
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:23/11/25 08:42:18 INFO 
org.apache.beam.runners.spark.translation.SparkContextFactory: Creating a brand 
new Spark Context.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:19 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:23/11/25 08:42:19 INFO 
org.sparkproject.jetty.util.log: Logging initialized @6802ms to 
org.sparkproject.jetty.util.log.Slf4jLog
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:19 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:23/11/25 08:42:19 INFO 
org.sparkproject.jetty.server.Server: Started @6892ms
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:19 WARN 
org.apache.spark.util.Utils: Service 'SparkUI' could not bind on port 4040. 
Attempting port 4041.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:19 INFO 
org.sparkproject.jetty.server.AbstractConnector: Started 
ServerConnector@322b7a52{HTTP/1.1, (http/1.1)}{127.0.0.1:4041}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@1535fcc3{/jobs,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@61df0af0{/jobs/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@4a9ac30d{/jobs/job,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@6e7647d2{/jobs/job/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@1ccddd27{/stages,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@3f100d16{/stages/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@7c020cf5{/stages/stage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@406773d6{/stages/stage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@41379db0{/stages/pool,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@63ba1d69{/stages/pool/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@3f8c1535{/storage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@552c6d26{/storage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@16b7395d{/storage/rdd,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@35313e36{/storage/rdd/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@3e4dd48b{/environment,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@1050e554{/environment/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@2acd0969{/executors,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@74b686d5{/executors/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@6fc65488{/executors/threadDump,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@114ed658{/executors/threadDump/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@757a0373{/static,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@22ebf966{/,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@3dd2fb84{/api,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@1d2e6d19{/jobs/job/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@1cbd2408{/stages/stage/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.sparkproject.jetty.server.handler.ContextHandler: Started 
o.s.j.s.ServletContextHandler@568e3710{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics 
accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 WARN 
software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to 
retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:20 INFO 
org.apache.beam.runners.spark.SparkPipelineRunner: Running job 
BeamApp-jenkins-1125084218-eb08a044_7f66c098-1011-4fe3-8e5f-7bbea2e84641 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:33063.
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:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam 
Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 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:40279.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for 
localhost:32903
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client 
connected.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-4
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-5
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-7
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:22 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:23 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:23 INFO 
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: 
getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:23 INFO 
org.apache.beam.runners.spark.SparkPipelineRunner: Job 
BeamApp-jenkins-1125084218-eb08a044_7f66c098-1011-4fe3-8e5f-7bbea2e84641: 
Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:23 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:23/11/25 08:42:23 INFO 
org.apache.beam.runners.spark.SparkPipelineRunner: Job 
BeamApp-jenkins-1125084218-eb08a044_7f66c098-1011-4fe3-8e5f-7bbea2e84641 
finished.
INFO:apache_beam.utils.subprocess_server:23/11/25 08:42:23 INFO 
org.sparkproject.jetty.server.AbstractConnector: Stopped 
Spark@322b7a52{HTTP/1.1, (http/1.1)}{127.0.0.1:4041}
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
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.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
    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 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 540, in __next__
    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 540, 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 966, 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 966, in _next
    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:33063 {created_time:"2023-11-25T08:42:23.716598111+00:00", 
grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>
    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:40279 {created_time:"2023-11-25T08:42:23.716594116+00:00", 
grpc_status:14, grpc_message:"Socket closed"}"
>
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 669, 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 540, 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 966, in _next
    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:32903 {created_time:"2023-11-25T08:42:23.716580366+00:00", 
grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>
Exception in thread read_grpc_client_inputs:
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/data_plane.py";,>
 line 686, 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 669, 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 540, 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 966, in _next
    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:32903 {created_time:"2023-11-25T08:42:23.716580366+00:00", 
grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>

> Task :sdks:python:test-suites:portable:py38:postCommitPy38
> Task :sdks:python:test-suites:dataflow:py38:inferencePostCommitIT

> Task :sdks:python:test-suites:dataflow:py38:postCommitIT
2023-11-25 08:57:20.952570: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.019200: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.019896: 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.
2023-11-25 08:57:21.127896: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.149083: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.169987: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.191870: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.192568: 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.
2023-11-25 08:57:21.212681: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.213410: 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.
2023-11-25 08:57:21.232663: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.233355: 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.
2023-11-25 08:57:21.279606: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.343812: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.344880: 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.
2023-11-25 08:57:21.376825: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.439611: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.440333: 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.
2023-11-25 08:57:21.586429: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.649385: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:21.650120: 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.
2023-11-25 08:57:22.019667: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-11-25 08:57:22.154858: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:22.225484: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-11-25 08:57:22.254529: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not 
find cuda drivers on your machine, GPU will not be used.
2023-11-25 08:57:22.255367: 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.
2023-11-25 08:57:22.291895: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-11-25 08:57:22.309198: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-11-25 08:57:22.424905: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-11-25 08:57:22.594523: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-11-25 08:57:22.868692: W 
tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not 
find TensorRT
2023-11-25 08:57:23.568672: 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
warning: sdist: standard file not found: should have one of README, README.rst, 
README.txt, README.md

warning: check: missing required meta-data: url

warning: check: missing meta-data: either (author and author_email) or 
(maintainer and maintainer_email) must be supplied


FAILURE: Build failed with an exception.

* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/test-suites/direct/common.gradle'>
 line: 52

* What went wrong:
Execution failed for task ':sdks:python:test-suites:direct: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/8.4/userguide/command_line_interface.html#sec:command_line_warnings
 in the Gradle documentation.

BUILD FAILED in 2h 13m 27s
224 actionable tasks: 159 executed, 61 from cache, 4 up-to-date

Publishing build scan...
https://ge.apache.org/s/zzzbrd2ko4qmq

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

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