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Apache Beam is a unified programming model for Batch and Streaming data processing.
https://beam.apache.org/
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[Bug]: SparkRunner log plumbing for Python SDK not working properly #29683

Open phoerious opened 10 months ago

phoerious commented 10 months ago

What happened?

I'm trying to get the SparkRunner working properly with pre-compiled JARs from my Python job (created with --output_executable=job.jar) that can be run with spark-submit on Kubernetes. Unfortunately, there seems to be a problem with the log routing / plumbing, so most of the job logs just get lost in the weeds.

I first tried the PROCESS environment type in a custom Spark image, but any output from the boot binary in the container gets lost entirely. Hence the job either fails or succeeds, but I have no idea why, unless I attach to the executor container and strace the boot process.

I then tried EXTERNAL, because there at least I can check the logs of the sidecar SDK container. The example job is running, but the stdout/stderr of the job itself isn't fed back to the Spark driver, so even in client, mode I have no idea what's going on.

There seems to be some sort of problem with the GRPC log server. The Spark executor container shows a bunch of these stacktraces:

23/12/08 09:52:19 INFO GrpcLoggingService: Beam Fn Logging client connected.
23/12/08 09:52:31 INFO GrpcLoggingService: Beam Fn Logging client connected.
23/12/08 09:52:31 WARN py:291: Not setting flag with value None: runner 
23/12/08 09:52:31 INFO py:111: semi_persistent_directory: /tmp
23/12/08 09:52:31 WARN py:356: No session file found: /tmp/staged/pickled_main_session. Functions defined in __main__ (interactive session) may fail. 
23/12/08 09:52:31 WARN py:367: Discarding unparseable args: ['--app_name=BeamApp-roce3528-1208092121-c24b0136_accc3bf6-1ac5-4869-93df-9a9553150bef', '--direct_runner_use_stacked_bundle', '--enable_spark_metric_sinks', '--log_mdc', '--options_id=2', '--pipeline_type_check'] 
23/12/08 09:52:31 INFO py:135: Pipeline_options: {'job_name': 'BeamApp-roce3528-1208092121-c24b0136', 'gcp_oauth_scopes': ['https://www.googleapis.com/auth/bigquery', 'https://www.googleapis.com/auth/cloud-platform', 'https://www.googleapis.com/auth/devstorage.full_control', 'https://www.googleapis.com/auth/userinfo.email', 'https://www.googleapis.com/auth/datastore', 'https://www.googleapis.com/auth/spanner.admin', 'https://www.googleapis.com/auth/spanner.data', 'https://www.googleapis.com/auth/bigquery', 'https://www.googleapis.com/auth/cloud-platform', 'https://www.googleapis.com/auth/devstorage.full_control', 'https://www.googleapis.com/auth/userinfo.email', 'https://www.googleapis.com/auth/datastore', 'https://www.googleapis.com/auth/spanner.admin', 'https://www.googleapis.com/auth/spanner.data'], 'experiments': ['beam_fn_api'], 'sdk_location': 'container', 'environment_type': 'EXTERNAL', 'environment_config': 'localhost:50000', 'sdk_worker_parallelism': '1', 'environment_cache_millis': '0', 'output_executable_path': 'job.jar'}
23/12/08 09:52:31 INFO py:234: Creating state cache with size 104857600
23/12/08 09:52:31 INFO py:187: Creating insecure control channel for localhost:33659.
23/12/08 09:52:31 INFO py:195: Control channel established.
23/12/08 09:52:31 INFO py:243: Initializing SDKHarness with unbounded number of workers.
23/12/08 09:52:31 INFO py:211: Python sdk harness starting.
23/12/08 09:52:31 INFO FnApiControlClientPoolService: Beam Fn Control client connected with id 1-1
23/12/08 09:52:31 INFO FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-2
23/12/08 09:52:31 INFO py:885: Creating insecure state channel for localhost:45221.
23/12/08 09:52:31 INFO py:892: State channel established.
23/12/08 09:52:31 INFO py:770: Creating client data channel for localhost:37017
23/12/08 09:52:31 INFO GrpcDataService: Beam Fn Data client connected.
23/12/08 09:52:32 INFO DefaultJobBundleFactory: Closing environment urn: "beam:env:external:v1"
payload: "\n\021\n\017localhost:50000"
capabilities: "beam:coder:bytes:v1"
capabilities: "beam:coder:string_utf8:v1"
capabilities: "beam:coder:kv:v1"
capabilities: "beam:coder:bool:v1"
capabilities: "beam:coder:varint:v1"
capabilities: "beam:coder:double:v1"
capabilities: "beam:coder:iterable:v1"
capabilities: "beam:coder:timer:v1"
capabilities: "beam:coder:interval_window:v1"
capabilities: "beam:coder:length_prefix:v1"
capabilities: "beam:coder:global_window:v1"
capabilities: "beam:coder:windowed_value:v1"
capabilities: "beam:coder:param_windowed_value:v1"
capabilities: "beam:coder:state_backed_iterable:v1"
capabilities: "beam:coder:custom_window:v1"
capabilities: "beam:coder:row:v1"
capabilities: "beam:coder:sharded_key:v1"
capabilities: "beam:coder:nullable:v1"
capabilities: "beam:protocol:progress_reporting:v0"
capabilities: "beam:protocol:harness_monitoring_infos:v1"
capabilities: "beam:protocol:worker_status:v1"
capabilities: "beam:combinefn:packed_python:v1"
capabilities: "beam:version:sdk_base:apache/beam_python3.11_sdk:2.52.0"
capabilities: "beam:transform:sdf_truncate_sized_restrictions:v1"
capabilities: "beam:transform:to_string:v1"
capabilities: "beam:protocol:data_sampling:v1"

23/12/08 09:52:32 INFO GrpcLoggingService: 2 Beam Fn Logging clients still connected during shutdown.
23/12/08 09:52:32 WARN BeamFnDataGrpcMultiplexer: Hanged up for unknown endpoint.
23/12/08 09:52:32 ERROR SerializingExecutor: Exception while executing runnable org.apache.beam.vendor.grpc.v1p54p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed@721ac343
java.lang.IllegalStateException: call already closed
        at org.apache.beam.vendor.grpc.v1p54p0.com.google.common.base.Preconditions.checkState(Preconditions.java:502)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.internal.ServerCallImpl.closeInternal(ServerCallImpl.java:219)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.internal.ServerCallImpl.close(ServerCallImpl.java:212)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.stub.ServerCalls$ServerCallStreamObserverImpl.onCompleted(ServerCalls.java:395)
        at org.apache.beam.runners.fnexecution.state.GrpcStateService$Inbound.onCompleted(GrpcStateService.java:150)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.stub.ServerCalls$StreamingServerCallHandler$StreamingServerCallListener.onHalfClose(ServerCalls.java:273)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.PartialForwardingServerCallListener.onHalfClose(PartialForwardingServerCallListener.java:35)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.ForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:23)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onHalfClose(ForwardingServerCallListener.java:40)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.Contexts$ContextualizedServerCallListener.onHalfClose(Contexts.java:86)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:355)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:867)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
        at org.apache.beam.vendor.grpc.v1p54p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
        at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
        at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
        at java.base/java.lang.Thread.run(Unknown Source)
23/12/08 09:52:33 INFO Executor: Finished task 1.0 in stage 0.0 (TID 1). 12698 bytes result sent to driver

and the SDK container shows

2023/12/08 09:51:24 Starting worker pool 1: python -m apache_beam.runners.worker.worker_pool_main --service_port=50000 --container_executable=/opt/apache/beam/boot
Starting worker with command ['/opt/apache/beam/boot', '--id=1-1', '--logging_endpoint=localhost:43205', '--artifact_endpoint=localhost:37223', '--provision_endpoint=localhost:46595', '--control_endpoint=localhost:33659']
2023/12/08 09:52:19 Provision info:
pipeline_options:{fields:{key:"beam:option:allow_non_deterministic_key_coders:v1"  value:{bool_value:false}}  fields:{key:"beam:option:allow_unsafe_triggers:v1"  value:{bool_value:false}}  fields:{key:"beam:option:app_name:v1"  value:{string_value:"BeamApp-roce3528-1208092121-c24b0136_accc3bf6-1ac5-4869-93df-9a9553150bef"}}  fields:{key:"beam:option:artifact_port:v1"  value:{string_value:"0"}}  fields:{key:"beam:option:auto_unique_labels:v1"  value:{bool_value:false}}  fields:{key:"beam:option:beam_services:v1"  value:{struct_value:{}}}  fields:{key:"beam:option:cache_disabled:v1"  value:{bool_value:false}}  fields:{key:"beam:option:dataflow_endpoint:v1"  value:{string_value:"https://dataflow.googleapis.com"}}  fields:{key:"beam:option:direct_embed_docker_python:v1"  value:{bool_value:false}}  fields:{key:"beam:option:direct_num_workers:v1"  value:{string_value:"1"}}  fields:{key:"beam:option:direct_runner_bundle_repeat:v1"  value:{string_value:"0"}}  fields:{key:"beam:option:direct_runner_use_stacked_bundle:v1"  value:{bool_value:true}}  fields:{key:"beam:option:direct_running_mode:v1"  value:{string_value:"in_memory"}}  fields:{key:"beam:option:direct_test_splits:v1"  value:{struct_value:{}}}  fields:{key:"beam:option:dry_run:v1"  value:{bool_value:false}}  fields:{key:"beam:option:enable_artifact_caching:v1"  value:{bool_value:false}}  fields:{key:"beam:option:enable_heap_dumps:v1"  value:{bool_value:false}}  fields:{key:"beam:option:enable_hot_key_logging:v1"  value:{bool_value:false}}  fields:{key:"beam:option:enable_spark_metric_sinks:v1"  value:{bool_value:true}}  fields:{key:"beam:option:enable_streaming_engine:v1"  value:{bool_value:false}}  fields:{key:"beam:option:environment_cache_millis:v1"  value:{string_value:"0"}}  fields:{key:"beam:option:environment_config:v1"  value:{string_value:"localhost:50000"}}  fields:{key:"beam:option:environment_type:v1"  value:{string_value:"EXTERNAL"}}  fields:{key:"beam:option:expansion_port:v1"  value:{string_value:"0"}}  fields:{key:"beam:option:experiments:v1"  value:{list_value:{values:{string_value:"beam_fn_api"}}}}  fields:{key:"beam:option:flink_master:v1"  value:{string_value:"[auto]"}}  fields:{key:"beam:option:flink_submit_uber_jar:v1"  value:{bool_value:false}}  fields:{key:"beam:option:flink_version:v1"  value:{string_value:"1.16"}}  fields:{key:"beam:option:gcp_oauth_scopes:v1"  value:{list_value:{values:{string_value:"https://www.googleapis.com/auth/bigquery"}  values:{string_value:"https://www.googleapis.com/auth/cloud-platform"}  values:{string_value:"https://www.googleapis.com/auth/devstorage.full_control"}  values:{string_value:"https://www.googleapis.com/auth/userinfo.email"}  values:{string_value:"https://www.googleapis.com/auth/datastore"}  values:{string_value:"https://www.googleapis.com/auth/spanner.admin"}  values:{string_value:"https://www.googleapis.com/auth/spanner.data"}}}}  fields:{key:"beam:option:gcs_performance_metrics:v1"  value:{bool_value:false}}  fields:{key:"beam:option:hdfs_full_urls:v1"  value:{bool_value:false}}  fields:{key:"beam:option:job_name:v1"  value:{string_value:"BeamApp-roce3528-1208092121-c24b0136"}}  fields:{key:"beam:option:job_port:v1"  value:{string_value:"0"}}  fields:{key:"beam:option:job_server_java_launcher:v1"  value:{string_value:"java"}}  fields:{key:"beam:option:job_server_jvm_properties:v1"  value:{list_value:{}}}  fields:{key:"beam:option:job_server_timeout:v1"  value:{string_value:"60"}}  fields:{key:"beam:option:load_balance_bundles:v1"  value:{bool_value:false}}  fields:{key:"beam:option:log_mdc:v1"  value:{bool_value:true}}  fields:{key:"beam:option:max_cache_memory_usage_mb:v1"  value:{string_value:"100"}}  fields:{key:"beam:option:max_parallelism:v1"  value:{string_value:"-1"}}  fields:{key:"beam:option:no_auth:v1"  value:{bool_value:false}}  fields:{key:"beam:option:options_id:v1"  value:{number_value:2}}  fields:{key:"beam:option:output_executable_path:v1"  value:{string_value:"job.jar"}}  fields:{key:"beam:option:parallelism:v1"  value:{string_value:"-1"}}  fields:{key:"beam:option:performance_runtime_type_check:v1"  value:{bool_value:false}}  fields:{key:"beam:option:pickle_library:v1"  value:{string_value:"default"}}  fields:{key:"beam:option:pipeline_type_check:v1"  value:{bool_value:true}}  fields:{key:"beam:option:profile_cpu:v1"  value:{bool_value:false}}  fields:{key:"beam:option:profile_memory:v1"  value:{bool_value:false}}  fields:{key:"beam:option:profile_sample_rate:v1"  value:{number_value:1}}  fields:{key:"beam:option:requirements_cache_only_sources:v1"  value:{bool_value:false}}  fields:{key:"beam:option:resource_hints:v1"  value:{list_value:{}}}  fields:{key:"beam:option:retain_docker_containers:v1"  value:{bool_value:false}}  fields:{key:"beam:option:runner:v1"  value:{null_value:NULL_VALUE}}  fields:{key:"beam:option:runtime_type_check:v1"  value:{bool_value:false}}  fields:{key:"beam:option:s3_disable_ssl:v1"  value:{bool_value:false}}  fields:{key:"beam:option:save_main_session:v1"  value:{bool_value:false}}  fields:{key:"beam:option:sdk_location:v1"  value:{string_value:"container"}}  fields:{key:"beam:option:sdk_worker_parallelism:v1"  value:{string_value:"1"}}  fields:{key:"beam:option:spark_master:v1"  value:{string_value:"local[4]"}}  fields:{key:"beam:option:spark_master_url:v1"  value:{string_value:"local[4]"}}  fields:{key:"beam:option:spark_submit_uber_jar:v1"  value:{bool_value:false}}  fields:{key:"beam:option:spark_version:v1"  value:{string_value:"3"}}  fields:{key:"beam:option:streaming:v1"  value:{bool_value:false}}  fields:{key:"beam:option:test_mode:v1"  value:{bool_value:false}}  fields:{key:"beam:option:type_check_additional:v1"  value:{string_value:""}}  fields:{key:"beam:option:type_check_strictness:v1"  value:{string_value:"DEFAULT_TO_ANY"}}  fields:{key:"beam:option:update:v1"  value:{bool_value:false}}  fields:{key:"beam:option:use_active_spark_session:v1"  value:{bool_value:false}}  fields:{key:"beam:option:use_transform_service:v1"  value:{bool_value:false}}  fields:{key:"beam:option:uses_provided_spark_context:v1"  value:{bool_value:false}}}  retrieval_token:"__no_artifacts_staged__"  logging_endpoint:{url:"localhost:43205"}  artifact_endpoint:{url:"localhost:37223"}  control_endpoint:{url:"localhost:33659"}  runner_capabilities:"beam:protocol:control_response_elements_embedding:v1"
2023/12/08 09:52:32 boot.go: error logging message over FnAPI. endpoint localhost:43205 error: EOF message follows
2023/12/08 09:52:32 DEBUG Python (worker 1-1) exited.
2023/12/08 09:52:32 boot.go: error logging message over FnAPI. endpoint localhost:43205 error: EOF message follows
2023/12/08 09:52:32 DEBUG Received signal: terminated
2023/12/08 09:52:32 boot.go: error logging message over FnAPI. endpoint localhost:43205 error: EOF message follows
2023/12/08 09:52:32 DEBUG Cleaned up temporary venv for worker 1-1.

This is repeated several times with different port numbers (I guess for different stages).

With the fruit sampling example from the website, I finally get

2023/12/08 09:53:29 boot.go: error logging message over FnAPI. endpoint localhost:43597 error: EOF message follows
2023/12/08 09:53:29 DEBUG ['🍓 Strawberry', '🥕 Carrot', '🍅 Tomato']

2023/12/08 09:53:29 boot.go: error logging message over FnAPI. endpoint localhost:43597 error: EOF message follows
2023/12/08 09:53:29 DEBUG Python (worker 5-1) exited.
2023/12/08 09:53:29 boot.go: error logging message over FnAPI. endpoint localhost:43597 error: EOF message follows
2023/12/08 09:53:29 DEBUG Received signal: terminated
2023/12/08 09:53:29 boot.go: error logging message over FnAPI. endpoint localhost:43597 error: EOF message follows
2023/12/08 09:53:29 DEBUG Cleaned up temporary venv for worker 5-1

in one of the (two) SDK container outputs, but it's never fed back to the Spark executor or the Spark driver, probably due to this log endpoint error.

Here's the job code:

with beam.Pipeline(options=PipelineOptions(sys.argv[1:])) as pipeline:
  sample = (
      pipeline
      | 'Create produce' >> beam.Create([
          '🍓 Strawberry',
          '🥕 Carrot',
          '🍆 Eggplant',
          '🍅 Tomato',
          '🥔 Potato',
      ])
      | 'Sample N elements' >> beam.combiners.Sample.FixedSizeGlobally(3)
      | beam.Map(print))

I compile the JAR with

python test.py --runner=SparkRunner --output_executable=job.jar --environment_type=EXTERNAL --environment_config=localhost:50000 --spark_version=3

and then spark-submit that to the cluster.

Issue Priority

Priority: 2 (default)

Issue Components

tvalentyn commented 10 months ago

The logging from boot.go goes to the Logging service endpoint: https://github.com/apache/beam/blob/12a4f677c6949856e4de303c2254acb1abee42f2/sdks/python/container/boot.go#L148

It sounds like the next step is to see how that endpoint is configured when SparkRunner launches SDK containers.

dermasmid commented 9 months ago

im getting the same with the typescript direct runner (which also uses the python logging server)

2024-01-03 22:45:28 Jan 03, 2024 8:45:28 PM org.apache.beam.fn.harness.FnHarness main
2024-01-03 22:45:28 SEVERE: Shutting down harness due to exception
2024-01-03 22:45:28 java.util.concurrent.ExecutionException: org.apache.beam.vendor.grpc.v1p54p0.io.grpc.StatusRuntimeException: UNAVAILABLE: Network closed for unknown reason
2024-01-03 22:45:28     at java.base/java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:395)
2024-01-03 22:45:28     at java.base/java.util.concurrent.CompletableFuture.get(CompletableFuture.java:2005)
2024-01-03 22:45:28     at org.apache.beam.fn.harness.FnHarness.main(FnHarness.java:381)
2024-01-03 22:45:28     at org.apache.beam.fn.harness.FnHarness.main(FnHarness.java:203)
2024-01-03 22:45:28     at org.apache.beam.fn.harness.FnHarness.main(FnHarness.java:165)
2024-01-03 22:45:28     at org.apache.beam.fn.harness.FnHarness.main(FnHarness.java:111)
2024-01-03 22:45:28     Suppressed: java.lang.RuntimeException: java.lang.IllegalStateException: Logging stream terminated unexpectedly before it was closed by the client with error: org.apache.beam.vendor.grpc.v1p54p0.io.grpc.StatusRuntimeException: UNAVAILABLE: Network closed for unknown reason
2024-01-03 22:45:28 Jan 03, 2024 8:45:28 PM org.apache.beam.fn.harness.FnHarness main
2024-01-03 22:45:28 INFO: Shutting SDK harness down.
2024-01-03 22:45:28 2024/01/03 20:45:28 boot.go: error logging message over FnAPI. endpoint host.docker.internal:60714 error: EOF message follows
2024-01-03 22:45:28 2024/01/03 20:45:28 CRITICAL Java exited: <nil>
je-ik commented 7 months ago

FlinkRunner seems to have the same problem:

2024/03/01 16:31:26 boot.go: error logging message over FnAPI. endpoint localhost:42919 error: EOF message follows
2024/03/01 16:31:26 DEBUG Received signal: terminated

Not sure where this originates from, if the SDK harness terminates (for some unknown reason) and then there is error in the log client, ot it is vice versa. The result is either way that the Pipeline cannot start-up.

Attaching log from Flink's TM (the oppsite side of the channel):

2024-03-01 16:38:15,559 INFO  org.apache.beam.runners.fnexecution.logging.GrpcLoggingService [] - Beam Fn Logging client connected.
2024-03-01 16:38:15,561 WARN  org.apache.beam.runners.fnexecution.logging.GrpcLoggingService [] - Logging client failed unexpectedly.
org.apache.beam.vendor.grpc.v1p60p1.io.grpc.StatusRuntimeException: CANCELLED: client cancelled
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.Status.asRuntimeException(Status.java:529) ~[blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.stub.ServerCalls$StreamingServerCallHandler$StreamingServerCallListener.onCancel(ServerCalls.java:291) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.PartialForwardingServerCallListener.onCancel(PartialForwardingServerCallListener.java:40) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.ForwardingServerCallListener.onCancel(ForwardingServerCallListener.java:23) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.ForwardingServerCallListener$SimpleForwardingServerCallListener.onCancel(ForwardingServerCallListener.java:40) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.Contexts$ContextualizedServerCallListener.onCancel(Contexts.java:96) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.closedInternal(ServerCallImpl.java:370) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.closed(ServerCallImpl.java:359) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1Closed.runInContext(ServerImpl.java:910) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at org.apache.beam.vendor.grpc.v1p60p1.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133) [blob_p-76321efed52f117dff8c6e3700bd80f1a67c6953-384e464b9966599441f52d255f73b6bc:?]
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) [?:?]
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) [?:?]
    at java.lang.Thread.run(Thread.java:829) [?:?]
je-ik commented 7 months ago

@robertwb is there anything to look into? I don't see any obvious reason why this happens, but it seems that the log client is terminated by the worker_pool (the process receives SIGTERM based on the log).

je-ik commented 7 months ago

In my case something seems to be sending SIGTERM to the forked worker after roughly 10 seconds from start. I was unable to figure out why this happens, yet. The log looks precisely as in the case of the description of this issue.