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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/09/30 08:14:39 UTC
[GitHub] [beam] mosche opened a new issue, #23440: [Bug]: PortableRunner fails with connectivity issues if using Spark + Docker on a Mac
mosche opened a new issue, #23440:
URL: https://github.com/apache/beam/issues/23440
### What happened?
The reason is that the entire stack expects to connect to components on `localhost`.
Running Docker on Mac, there's no support for `host` networking. However, this would be required to get things working.
Consider this job:
```
python /tmp/app/__main__.py \
--runner=PortableRunner \
--job_endpoint=beam-job-server:8099 \
--artifact_endpoint=beam-job-server:8098 \
--environment_type=EXTERNAL \
--environment_config=beam-python-workers:50000
```
The Spark job-server was started with `--spark-master-url=spark://spark:7077 --job-host=beam-job-server`.
I was able to fix connectivity between the job-server and the Spark cluster by also setting `-Dspark.driver.host=beam-job-server` when starting the job-server.
Unfortunately connectivity is still broken for the Python SDK worker pool, started using `--worker_pool --provision_endpoint=beam-job-server:8099 --artifact_endpoint=beam-job-server:8098`.
When finally receiving a work request, a worker is started as follows:
```
2022-09-29T10:20:56.811855690Z Starting worker with command ['/opt/apache/beam/boot', '--id=1-1', '--logging_endpoint=localhost:42343', '--artifact_endpoint=localhost:34219', '--provision_endpoint=localhost:40675', '--control_endpoint=localhost:46485']
```
This way, obviously, the worker isn't able to communicate results back.
### Issue Priority
Priority: 2
### Issue Component
Component: runner-spark
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[GitHub] [beam] mosche closed issue #23440: [Bug]: PortableRunner fails with connectivity issues if using Spark + Docker on a Mac
Posted by GitBox <gi...@apache.org>.
mosche closed issue #23440: [Bug]: PortableRunner fails with connectivity issues if using Spark + Docker on a Mac
URL: https://github.com/apache/beam/issues/23440
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[GitHub] [beam] mosche commented on issue #23440: [Bug]: PortableRunner fails with connectivity issues if using Spark + Docker on a Mac
Posted by GitBox <gi...@apache.org>.
mosche commented on issue #23440:
URL: https://github.com/apache/beam/issues/23440#issuecomment-1271567347
The solution is to set these two environment variables for the Spark workers:
```shell
# By default Beam expects workers (of the SDK worker pool) to connect to a Spark worker on `localhost`. When running
# the worker pool in docker on a Mac this isn't possible due to the lack of `host` networking. Using
# BEAM_WORKER_POOL_IN_DOCKER_VM=1, Beam will use `host.docker.internal` to communicate via the docker host instead.
export BEAM_WORKER_POOL_IN_DOCKER_VM=1
# DOCKER_MAC_CONTAINER=1 limits the ports on a Spark worker for communication with SDK workers to the range 8100 - 8200
# instead of using random ports. Ports of the range are used in a round-robin fashion and have to be published.
export DOCKER_MAC_CONTAINER=1
```
See https://github.com/mosche/beam-portable-spark for a working example.
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[GitHub] [beam] adekunleoajayi commented on issue #23440: [Bug]: PortableRunner fails with connectivity issues if using Spark + Docker on a Mac
Posted by GitBox <gi...@apache.org>.
adekunleoajayi commented on issue #23440:
URL: https://github.com/apache/beam/issues/23440#issuecomment-1269603187
I have a similar problem with the portable runner mac. Take this example
```
python -m apache_beam.examples.wordcount --input ./input/kinglear.txt \
--output ./output_spark_portable_runner/counts \
--runner PortableRunner \
--job_endpoint localhost:8099 \
--environment_type LOOPBACK
```
### 1 - Using `--net=host`
When I start the portable runner with
`docker run --platform linux/amd64 --net=host apache/beam_spark_job_server:latest`
The server starts successfully
```
22/10/06 07:48:44 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: ArtifactStagingService started on localhost:8098
22/10/06 07:48:45 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Java ExpansionService started on localhost:8097
22/10/06 07:48:45 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: JobService started on localhost:8099
22/10/06 07:48:45 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Job server now running, terminate with Ctrl+C
```
but the ports are not accessible because `--net=host` is not supported on mac, hence the pipeline fails.
```
INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at localhost:59724
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.9 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.9_sdk:2.30.0
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function lift_combiners at 0x7fea81d46040> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fea81d46790> ====================
Traceback (most recent call last):
File "/Users/aajayi/opt/anaconda3/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/Users/aajayi/opt/anaconda3/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/examples/wordcount.py", line 94, in <module>
run()
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/examples/wordcount.py", line 89, in run
output | 'Write' >> WriteToText(known_args.output)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/pipeline.py", line 585, in __exit__
self.result = self.run()
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/pipeline.py", line 564, in run
return self.runner.run_pipeline(self, self._options)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/runners/portability/portable_runner.py", line 437, in run_pipeline
job_service_handle = self.create_job_service(options)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/runners/portability/portable_runner.py", line 317, in create_job_service
return self.create_job_service_handle(server.start(), options)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/runners/portability/job_server.py", line 54, in start
grpc.channel_ready_future(channel).result(timeout=self._timeout)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/grpc/_utilities.py", line 139, in result
self._block(timeout)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/grpc/_utilities.py", line 85, in _block
raise grpc.FutureTimeoutError()
grpc.FutureTimeoutError
```
### 2 - Published ports
Instead, I tried to explicitly publish the ports when starting the portable runner
`docker run --platform linux/amd64 -p 8099:8099 -p 8098:8098 -p 8097:8097 apache/beam_spark_job_server:latest`
This way, the ports are accessible. This time It starts then fails with the following error
```
INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at localhost:56571
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.9 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.9_sdk:2.30.0
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function lift_combiners at 0x7fa9b841e040> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fa9b841e790> ====================
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
ERROR:root:org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 0.0 failed 1 times, most recent failure: Lost task 3.0 in stage 0.0 (TID 3, localhost, executor driver): org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.UncheckedExecutionException: org.apache.beam.vendor.grpc.v1p43p2.io.grpc.StatusRuntimeException: UNAVAILABLE: io exception
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2050)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3974)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4958)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.getUnchecked(LocalCache.java:4964)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory.<init>(DefaultJobBundleFactory.java:451)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory.<init>(DefaultJobBundleFactory.java:436)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory.forStage(DefaultJobBundleFactory.java:303)
at org.apache.beam.runners.fnexecution.control.DefaultExecutableStageContext.getStageBundleFactory(DefaultExecutableStageContext.java:38)
at org.apache.beam.runners.fnexecution.control.ReferenceCountingExecutableStageContextFactory$WrappedContext.getStageBundleFactory(ReferenceCountingExecutableStageContextFactory.java:202)
at org.apache.beam.runners.spark.translation.SparkExecutableStageFunction.call(SparkExecutableStageFunction.java:142)
at org.apache.beam.runners.spark.translation.SparkExecutableStageFunction.call(SparkExecutableStageFunction.java:81)
at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$4$1.apply(JavaRDDLike.scala:153)
at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$4$1.apply(JavaRDDLike.scala:153)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:359)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:357)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:359)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:357)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:411)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:417)
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:750)
Caused by: org.apache.beam.vendor.grpc.v1p43p2.io.grpc.StatusRuntimeException: UNAVAILABLE: io exception
at org.apache.beam.vendor.grpc.v1p43p2.io.grpc.stub.ClientCalls.toStatusRuntimeException(ClientCalls.java:262)
at org.apache.beam.vendor.grpc.v1p43p2.io.grpc.stub.ClientCalls.getUnchecked(ClientCalls.java:243)
at org.apache.beam.vendor.grpc.v1p43p2.io.grpc.stub.ClientCalls.blockingUnaryCall(ClientCalls.java:156)
at org.apache.beam.model.fnexecution.v1.BeamFnExternalWorkerPoolGrpc$BeamFnExternalWorkerPoolBlockingStub.startWorker(BeamFnExternalWorkerPoolGrpc.java:225)
at org.apache.beam.runners.fnexecution.environment.ExternalEnvironmentFactory.createEnvironment(ExternalEnvironmentFactory.java:113)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$1.load(DefaultJobBundleFactory.java:252)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$1.load(DefaultJobBundleFactory.java:231)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3528)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2277)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2154)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2044)
... 54 more
Caused by: org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.AbstractChannel$AnnotatedConnectException: finishConnect(..) failed: Connection refused: localhost/127.0.0.1:56571
Caused by: java.net.ConnectException: finishConnect(..) failed: Connection refused
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.unix.Errors.newConnectException0(Errors.java:155)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.unix.Errors.handleConnectErrno(Errors.java:128)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.unix.Socket.finishConnect(Socket.java:278)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.AbstractEpollChannel$AbstractEpollUnsafe.doFinishConnect(AbstractEpollChannel.java:710)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.AbstractEpollChannel$AbstractEpollUnsafe.finishConnect(AbstractEpollChannel.java:687)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.AbstractEpollChannel$AbstractEpollUnsafe.epollOutReady(AbstractEpollChannel.java:567)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.EpollEventLoop.processReady(EpollEventLoop.java:470)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.EpollEventLoop.run(EpollEventLoop.java:378)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
at java.lang.Thread.run(Thread.java:750)
Driver stacktrace:
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
File "/Users/aajayi/opt/anaconda3/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/Users/aajayi/opt/anaconda3/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/examples/wordcount.py", line 94, in <module>
run()
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/examples/wordcount.py", line 89, in run
output | 'Write' >> WriteToText(known_args.output)
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/pipeline.py", line 586, in __exit__
self.result.wait_until_finish()
File "/Users/aajayi/Documents/Projects/BeamPython/venv/lib/python3.9/site-packages/apache_beam/runners/portability/portable_runner.py", line 599, in wait_until_finish
raise self._runtime_exception
RuntimeError: Pipeline BeamApp-root-1006075554-73ce662f_3b12d9a3-1a00-42ad-be20-5796df9aeefd failed in state FAILED: org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 0.0 failed 1 times, most recent failure: Lost task 3.0 in stage 0.0 (TID 3, localhost, executor driver): org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.UncheckedExecutionException: org.apache.beam.vendor.grpc.v1p43p2.io.grpc.StatusRuntimeException: UNAVAILABLE: io exception
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2050)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:3974)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4958)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalLoadingCache.getUnchecked(LocalCache.java:4964)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory.<init>(DefaultJobBundleFactory.java:451)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory.<init>(DefaultJobBundleFactory.java:436)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory.forStage(DefaultJobBundleFactory.java:303)
at org.apache.beam.runners.fnexecution.control.DefaultExecutableStageContext.getStageBundleFactory(DefaultExecutableStageContext.java:38)
at org.apache.beam.runners.fnexecution.control.ReferenceCountingExecutableStageContextFactory$WrappedContext.getStageBundleFactory(ReferenceCountingExecutableStageContextFactory.java:202)
at org.apache.beam.runners.spark.translation.SparkExecutableStageFunction.call(SparkExecutableStageFunction.java:142)
at org.apache.beam.runners.spark.translation.SparkExecutableStageFunction.call(SparkExecutableStageFunction.java:81)
at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$4$1.apply(JavaRDDLike.scala:153)
at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$4$1.apply(JavaRDDLike.scala:153)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:359)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:357)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:359)
at org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:357)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1165)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1091)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1156)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:882)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:357)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:308)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:411)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:417)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.beam.vendor.grpc.v1p43p2.io.grpc.StatusRuntimeException: UNAVAILABLE: io exception
at org.apache.beam.vendor.grpc.v1p43p2.io.grpc.stub.ClientCalls.toStatusRuntimeException(ClientCalls.java:262)
at org.apache.beam.vendor.grpc.v1p43p2.io.grpc.stub.ClientCalls.getUnchecked(ClientCalls.java:243)
at org.apache.beam.vendor.grpc.v1p43p2.io.grpc.stub.ClientCalls.blockingUnaryCall(ClientCalls.java:156)
at org.apache.beam.model.fnexecution.v1.BeamFnExternalWorkerPoolGrpc$BeamFnExternalWorkerPoolBlockingStub.startWorker(BeamFnExternalWorkerPoolGrpc.java:225)
at org.apache.beam.runners.fnexecution.environment.ExternalEnvironmentFactory.createEnvironment(ExternalEnvironmentFactory.java:113)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$1.load(DefaultJobBundleFactory.java:252)
at org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$1.load(DefaultJobBundleFactory.java:231)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3528)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2277)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2154)
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2044)
... 54 more
Caused by: org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.AbstractChannel$AnnotatedConnectException: finishConnect(..) failed: Connection refused: localhost/127.0.0.1:56571
Caused by: java.net.ConnectException: finishConnect(..) failed: Connection refused
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.unix.Errors.newConnectException0(Errors.java:155)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.unix.Errors.handleConnectErrno(Errors.java:128)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.unix.Socket.finishConnect(Socket.java:278)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.AbstractEpollChannel$AbstractEpollUnsafe.doFinishConnect(AbstractEpollChannel.java:710)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.AbstractEpollChannel$AbstractEpollUnsafe.finishConnect(AbstractEpollChannel.java:687)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.AbstractEpollChannel$AbstractEpollUnsafe.epollOutReady(AbstractEpollChannel.java:567)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.EpollEventLoop.processReady(EpollEventLoop.java:470)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.epoll.EpollEventLoop.run(EpollEventLoop.java:378)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
at org.apache.beam.vendor.grpc.v1p43p2.io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
at java.lang.Thread.run(Thread.java:750)
Driver stacktrace:
(
```
Apparently, at inception, the Job Server also generates a worker with a dynamic port.
`INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at localhost:56571`
This worker can't be reached and the pipeline fails
`Caused by: org.apache.beam.vendor.grpc.v1p43p2.io.netty.channel.AbstractChannel$AnnotatedConnectException: finishConnect(..) failed: Connection refused: localhost/127.0.0.1:56571`
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[GitHub] [beam] mosche commented on issue #23440: [Bug]: PortableRunner fails with connectivity issues if using Spark + Docker on a Mac
Posted by GitBox <gi...@apache.org>.
mosche commented on issue #23440:
URL: https://github.com/apache/beam/issues/23440#issuecomment-1308567646
This requires better documentation (#23438)!
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