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Posted to dev@beam.apache.org by ju...@gmail.com,
ju...@gmail.com on 2019/01/21 19:32:05 UTC
Re: How to use "PortableRunner" in Python SDK?
Hello,
I tried to follow the instructions at https://beam.apache.org/roadmap/portability/#python-on-flink,
1. I installed Flink local cluster, and followed their SocketWindowWordCount example and confirmed the cluster works properly.
2. Start Flink job server:
./gradlew :beam-runners-flink_2.11-job-server:runShadow -PflinkMasterUrl=localhost:8081
3. Subject the job as suggested by an earlier thread:
python -m apache_beam.examples.wordcount --input=/etc/profile --output=/tmp/py-wordcount-direct --runner=PortableRunner --job_endpoint=localhost:8099 --parallelism=1 --OPTIONALflink_master=localhost:8081 --streaming
But got the following NullPointerException error (sorry for the long text below), any ideas? Thanks
Jun Wan
---- log starts ----
[grpc-default-executor-2] INFO org.apache.beam.runners.flink.FlinkJobInvoker - Invoking job BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b
[grpc-default-executor-2] INFO org.apache.beam.runners.flink.FlinkJobInvocation - Starting job invocation BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b
[flink-runner-job-server] INFO org.apache.beam.runners.flink.FlinkJobInvocation - Translating pipeline to Flink program.
[flink-runner-job-server] INFO org.apache.beam.runners.flink.FlinkExecutionEnvironments - Creating a Streaming Environment.
[flink-runner-job-server] INFO org.apache.beam.runners.flink.FlinkExecutionEnvironments - Using Flink Master URL localhost:8081.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - class org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter for field unionTag
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - Class class org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO type because not all fields are valid POJO fields, and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - class org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter for field unionTag
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - Class class org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO type because not all fields are valid POJO fields, and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - class org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter for field unionTag
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - Class class org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO type because not all fields are valid POJO fields, and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - class org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter for field unionTag
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - Class class org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO type because not all fields are valid POJO fields, and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - class org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter for field unionTag
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - Class class org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO type because not all fields are valid POJO fields, and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a POJO type and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - class org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter for field unionTag
[flink-runner-job-server] INFO org.apache.flink.api.java.typeutils.TypeExtractor - Class class org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO type because not all fields are valid POJO fields, and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
[flink-runner-job-server] INFO org.apache.beam.runners.flink.FlinkExecutionEnvironments - Running remotely at localhost:8081
[flink-runner-job-server] WARN org.apache.flink.configuration.Configuration - Config uses deprecated configuration key 'jobmanager.rpc.address' instead of proper key 'rest.address'
[flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient - Rest client endpoint started.
[flink-runner-job-server] INFO org.apache.flink.client.program.rest.RestClusterClient - Submitting job 9a91889c469db1d88ec8f6a6d04a67b7 (detached: false).
[flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient - Shutting down rest endpoint.
[flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient - Rest endpoint shutdown complete.
[flink-runner-job-server] ERROR org.apache.beam.runners.flink.FlinkJobInvocation - Error during job invocation BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b.
org.apache.flink.client.program.ProgramInvocationException: Could not retrieve the execution result.
at org.apache.flink.client.program.rest.RestClusterClient.submitJob(RestClusterClient.java:258)
at org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:464)
at org.apache.beam.runners.flink.FlinkExecutionEnvironments$BeamFlinkRemoteStreamEnvironment.executeRemotely(FlinkExecutionEnvironments.java:355)
at org.apache.flink.streaming.api.environment.RemoteStreamEnvironment.execute(RemoteStreamEnvironment.java:179)
at org.apache.beam.runners.flink.FlinkStreamingPortablePipelineTranslator$StreamingTranslationContext.execute(FlinkStreamingPortablePipelineTranslator.java:158)
at org.apache.beam.runners.flink.FlinkJobInvocation.runPipelineWithTranslator(FlinkJobInvocation.java:142)
at org.apache.beam.runners.flink.FlinkJobInvocation.runPipeline(FlinkJobInvocation.java:112)
at org.apache.beam.repackaged.beam_runners_flink_2.11.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:111)
at org.apache.beam.repackaged.beam_runners_flink_2.11.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:58)
at org.apache.beam.repackaged.beam_runners_flink_2.11.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:75)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.flink.runtime.client.JobSubmissionException: Failed to submit JobGraph.
at org.apache.flink.client.program.rest.RestClusterClient.lambda$submitJob$8(RestClusterClient.java:371)
at java.util.concurrent.CompletableFuture.uniExceptionally(CompletableFuture.java:870)
at java.util.concurrent.CompletableFuture$UniExceptionally.tryFire(CompletableFuture.java:852)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
at java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977)
at org.apache.flink.runtime.concurrent.FutureUtils.lambda$retryOperationWithDelay$5(FutureUtils.java:203)
at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760)
at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
at java.util.concurrent.CompletableFuture.postFire(CompletableFuture.java:561)
at java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:929)
at java.util.concurrent.CompletableFuture$Completion.run(CompletableFuture.java:442)
... 3 more
Caused by: org.apache.flink.runtime.rest.util.RestClientException: [Internal server error., <Exception on server side:
java.util.concurrent.CompletionException: java.lang.NullPointerException
at java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:273)
at java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:280)
at java.util.concurrent.CompletableFuture.biApply(CompletableFuture.java:1107)
at java.util.concurrent.CompletableFuture$BiApply.tryFire(CompletableFuture.java:1070)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
at java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1595)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NullPointerException
at org.apache.flink.runtime.jobgraph.JobGraph.writeUserArtifactEntriesToConfiguration(JobGraph.java:586)
at org.apache.flink.runtime.client.ClientUtils.setUserArtifactBlobKeys(ClientUtils.java:140)
at org.apache.flink.runtime.client.ClientUtils.uploadAndSetUserArtifacts(ClientUtils.java:121)
at org.apache.flink.runtime.client.ClientUtils.uploadJobGraphFiles(ClientUtils.java:78)
at org.apache.flink.runtime.rest.handler.job.JobSubmitHandler.lambda$uploadJobGraphFiles$4(JobSubmitHandler.java:168)
at java.util.concurrent.CompletableFuture.biApply(CompletableFuture.java:1105)
... 6 more
End of exception on server side>]
at org.apache.flink.runtime.rest.RestClient.parseResponse(RestClient.java:349)
at org.apache.flink.runtime.rest.RestClient.lambda$submitRequest$3(RestClient.java:333)
at java.util.concurrent.CompletableFuture.uniCompose(CompletableFuture.java:952)
at java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:926)
... 4 more
---- log ends ----
On 2018/11/15 11:01:28, Maximilian Michels <mx...@apache.org> wrote:
> Hi Ruoyun,
>
> The output file will be within the container which is deleted after
> shutdown by default. You can keep the containers if you add the flag
>
> --retain_docker_containers
>
> Note, this is from ManualDockerEnvironmentOptions.
>
> The problem with batch is that it executes staged and will create
> multiple containers [1] which don't share the same local file system. So
> the wordcount only works reliably if you use a distributed file system.
>
> Cheers,
> Max
>
> [1] You can prevent multiple containers by using
> --environment_cache_millis=10000
>
> On 14.11.18 20:44, Ruoyun Huang wrote:
> > Thanks Thomas!
> >
> > My desktop runs Linux. I was using gradle to run wordcount, and that
> > was how I got the job hanging. Since both of you get it working, I guess
> > more likely sth is wrong with my setup.
> >
> >
> > By using Thmoas's python command line exactly as is, I am able to see
> > the job run succeeds, however two questions:
> >
> > 1) Did you check whether output file "/tmp/py-wordcount-direct" exists
> > or not? I expect there should be a text output, but I don't see this
> > file afterwards. (I am still in the stage building confidence in
> > telling what a succeeded run is. Maybe I will try DataflowRunner and
> > cross check outputs).
> >
> > 2) Why it needs a "--streaming" arg? Isn't this a static batch input,
> > by feeding a txt file input? In fact, I got failure message if I remove
> > '--streaming', not sure if it is due to my setup again.
> >
> >
> > On Wed, Nov 14, 2018 at 7:51 AM Thomas Weise <thw@apache.org
> > <ma...@apache.org>> wrote:
> >
> > Works for me on macOS as well.
> >
> > In case you don't launch the pipeline through Gradle, this would be
> > the command:
> >
> > python -m apache_beam.examples.wordcount \
> > --input=/etc/profile \
> > --output=/tmp/py-wordcount-direct \
> > --runner=PortableRunner \
> > --job_endpoint=localhost:8099 \
> > --parallelism=1 \
> > --OPTIONALflink_master=localhost:8081 \
> > --streaming
> >
> > We talked about adding the wordcount to pre-commit..
> >
> > Regarding using ULR vs. Flink runner: There seems to be confusion
> > between PortableRunner using the user supplied endpoint vs. trying
> > to launch a job server. I commented in the doc.
> >
> > Thomas
> >
> >
> >
> > On Wed, Nov 14, 2018 at 3:30 AM Maximilian Michels <mxm@apache.org
> > <ma...@apache.org>> wrote:
> >
> > Hi Ruoyun,
> >
> > I just ran the wordcount locally using the instructions on the
> > page.
> > I've tried the local file system and GCS. Both times it ran
> > successfully
> > and produced valid output.
> >
> > I'm assuming there is some problem with your setup. Which
> > platform are
> > you using? I'm on MacOS.
> >
> > Could you expand on the planned merge? From my understanding we
> > will
> > always need PortableRunner in Python to be able to submit
> > against the
> > Beam JobServer.
> >
> > Thanks,
> > Max
> >
> > On 14.11.18 00:39, Ruoyun Huang wrote:
> > > A quick follow-up on using current PortableRunner.
> > >
> > > I followed the exact three steps as Ankur and Maximilian
> > shared in
> > > https://beam.apache.org/roadmap/portability/#python-on-flink
> > ; The
> > > wordcount example keeps hanging after 10 minutes. I also tried
> > > specifying explicit input/output args, either using gcs
> > folder or local
> > > file system, but none of them works.
> > >
> > > Spent some time looking into it but conclusion yet. At this
> > point
> > > though, I guess it does not matter much any more, given we
> > already have
> > > the plan of merging PortableRunner into using java reference
> > runner
> > > (i.e. :beam-runners-reference-job-server).
> > >
> > > Still appreciated if someone can try out the python-on-flink
> > >
> > <https://beam.apache.org/roadmap/portability/#python-on-flink>instructions
> >
> > > in case it is just due to my local machine setup. Thanks!
> > >
> > >
> > >
> > > On Thu, Nov 8, 2018 at 5:04 PM Ruoyun Huang
> > <ruoyun@google.com <ma...@google.com>
> > > <mailto:ruoyun@google.com <ma...@google.com>>> wrote:
> > >
> > > Thanks Maximilian!
> > >
> > > I am working on migrating existing PortableRunner to
> > using java ULR
> > > (Link to Notes
> > >
> > <https://docs.google.com/document/d/1S86saZqiDaE_M5wxO0zOQ_rwC6QHv7sp1BmGTm0dLNE/edit#>).
> > > If this issue is non-trivial to solve, I would vote for
> > removing
> > > this default behavior as part of the consolidation.
> > >
> > > On Thu, Nov 8, 2018 at 2:58 AM Maximilian Michels
> > <mxm@apache.org <ma...@apache.org>
> > > <mailto:mxm@apache.org <ma...@apache.org>>> wrote:
> > >
> > > In the long run, we should get rid of the
> > Docker-inside-Docker
> > > approach,
> > > which was only intended for testing anyways. It would
> > be cleaner to
> > > start the SDK harness container alongside with
> > JobServer container.
> > >
> > > Short term, I think it should be easy to either fix the
> > > permissions of
> > > the mounted "docker" executable or use a Docker image
> > for the
> > > JobServer
> > > which comes with Docker pre-installed.
> > >
> > > JIRA: https://issues.apache.org/jira/browse/BEAM-6020
> > >
> > > Thanks for reporting this Ruoyun!
> > >
> > > -Max
> > >
> > > On 08.11.18 00:10, Ruoyun Huang wrote:
> > > > Thanks Ankur and Maximilian.
> > > >
> > > > Just for reference in case other people
> > encountering the same
> > > error
> > > > message, the "permission denied" error in my
> > original email
> > > is exactly
> > > > due to dockerinsidedocker issue that Ankur mentioned.
> > > Thanks Ankur!
> > > > Didn't make the link when you said it, had to
> > discover that
> > > in a hard
> > > > way (I thought it is due to my docker installation
> > messed up).
> > > >
> > > > On Tue, Nov 6, 2018 at 1:53 AM Maximilian Michels
> > > <mxm@apache.org <ma...@apache.org>
> > <mailto:mxm@apache.org <ma...@apache.org>>
> > > > <mailto:mxm@apache.org <ma...@apache.org>
> > <mailto:mxm@apache.org <ma...@apache.org>>>> wrote:
> > > >
> > > > Hi,
> > > >
> > > > Please follow
> > > >
> > https://beam.apache.org/roadmap/portability/#python-on-flink
> > > >
> > > > Cheers,
> > > > Max
> > > >
> > > > On 06.11.18 01:14, Ankur Goenka wrote:
> > > > > Hi,
> > > > >
> > > > > The Portable Runner requires a job server
> > uri to work
> > > with. The
> > > > current
> > > > > default job server docker image is broken
> > because of
> > > docker inside
> > > > > docker issue.
> > > > >
> > > > > Please refer to
> > > > >
> > > https://beam.apache.org/roadmap/portability/#python-on-flink for
> > > > how to
> > > > > run a wordcount using Portable Flink Runner.
> > > > >
> > > > > Thanks,
> > > > > Ankur
> > > > >
> > > > > On Mon, Nov 5, 2018 at 3:41 PM Ruoyun Huang
> > > <ruoyun@google.com <ma...@google.com>
> > <mailto:ruoyun@google.com <ma...@google.com>>
> > > > <mailto:ruoyun@google.com
> > <ma...@google.com> <mailto:ruoyun@google.com
> > <ma...@google.com>>>
> > > > > <mailto:ruoyun@google.com
> > <ma...@google.com> <mailto:ruoyun@google.com
> > <ma...@google.com>>
> > > <mailto:ruoyun@google.com <ma...@google.com>
> > <mailto:ruoyun@google.com <ma...@google.com>>>>> wrote:
> > > > >
> > > > > Hi, Folks,
> > > > >
> > > > > I want to try out Python
> > PortableRunner, by
> > > using following
> > > > > command:
> > > > >
> > > > > *sdk/python: python -m
> > apache_beam.examples.wordcount
> > > > > --output=/tmp/test_output --runner
> > PortableRunner*
> > > > >
> > > > > It complains with following error
> > message:
> > > > >
> > > > > Caused by: java.lang.Exception: The
> > user defined
> > > 'open()' method
> > > > > caused an exception:
> > java.io.IOException: Cannot
> > > run program
> > > > > "docker": error=13, Permission denied
> > > > > at
> > > >
> > >
> > org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:498)
> > > > > at
> > > > >
> > > >
> > >
> > org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:368)
> > > > > at
> > >
> > org.apache.flink.runtime.taskmanager.Task.run(Task.java:712)
> > > > > ... 1 more
> > > > > Caused by:
> > > > >
> > > >
> > >
> > org.apache.beam.repackaged.beam_runners_java_fn_execution.com.google.common.util.concurrent.UncheckedExecutionException:
> > > > > java.io.IOException: Cannot run program
> > "docker":
> > > error=13,
> > > > > Permission denied
> > > > > at
> > > > >
> > > >
> > >
> > org.apache.beam.repackaged.beam_runners_java_fn_execution.com.google.common.cache.LocalCache$LocalLoadingCache.getUnchecked(LocalCache.java:4994)
> > > > >
> > > > > ... 7 more
> > > > >
> > > > >
> > > > >
> > > > > My py2 environment is properly
> > configured, because
> > > DirectRunner
> > > > > works. Also I tested my docker
> > installation by
> > > 'docker run
> > > > > hello-world ', no issue.
> > > > >
> > > > >
> > > > > Thanks.
> > > > > --
> > > > > ================
> > > > > Ruoyun Huang
> > > > >
> > > >
> > > >
> > > >
> > > > --
> > > > ================
> > > > Ruoyun Huang
> > > >
> > >
> > >
> > >
> > > --
> > > ================
> > > Ruoyun Huang
> > >
> > >
> > >
> > > --
> > > ================
> > > Ruoyun Huang
> > >
> >
> >
> >
> > --
> > ================
> > Ruoyun Huang
> >
>
Re: How to use "PortableRunner" in Python SDK?
Posted by Heejong Lee <he...@google.com>.
You can also try without --streaming option. There's a separate streaming
wordcount example in the same directory.
If you want to look into the output files, it would be easier to use
external target like gs:// instead of local file.
python -m apache_beam.examples.wordcount --input=/etc/profile
--output=gs://tmp_location/py-wordcount --runner=PortableRunner
--job_endpoint=localhost:8099 --parallelism=1
On Tue, Jan 22, 2019 at 11:44 AM junwan01@gmail.com <ju...@gmail.com>
wrote:
> Hello,
>
> I tried to follow the instructions at
> https://beam.apache.org/roadmap/portability/#python-on-flink,
>
> 1. I installed Flink local cluster, and followed their
> SocketWindowWordCount example and confirmed the cluster works properly.
>
> 2. Start Flink job server:
> ./gradlew :beam-runners-flink_2.11-job-server:runShadow
> -PflinkMasterUrl=localhost:8081
>
> 3. Subject the job as suggested by an earlier thread:
> python -m apache_beam.examples.wordcount --input=/etc/profile
> --output=/tmp/py-wordcount-direct --runner=PortableRunner
> --job_endpoint=localhost:8099 --parallelism=1
> --OPTIONALflink_master=localhost:8081 --streaming
>
> But got the following NullPointerException error (sorry for the long text
> below), any ideas? Thanks
>
> Jun Wan
>
> ---- log starts ----
> [grpc-default-executor-2] INFO
> org.apache.beam.runners.flink.FlinkJobInvoker - Invoking job
> BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b
> [grpc-default-executor-2] INFO
> org.apache.beam.runners.flink.FlinkJobInvocation - Starting job invocation
> BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b
> [flink-runner-job-server] INFO
> org.apache.beam.runners.flink.FlinkJobInvocation - Translating pipeline to
> Flink program.
> [flink-runner-job-server] INFO
> org.apache.beam.runners.flink.FlinkExecutionEnvironments - Creating a
> Streaming Environment.
> [flink-runner-job-server] INFO
> org.apache.beam.runners.flink.FlinkExecutionEnvironments - Using Flink
> Master URL localhost:8081.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.beam.runners.flink.FlinkExecutionEnvironments - Running remotely
> at localhost:8081
> [flink-runner-job-server] WARN
> org.apache.flink.configuration.Configuration - Config uses deprecated
> configuration key 'jobmanager.rpc.address' instead of proper key
> 'rest.address'
> [flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient -
> Rest client endpoint started.
> [flink-runner-job-server] INFO
> org.apache.flink.client.program.rest.RestClusterClient - Submitting job
> 9a91889c469db1d88ec8f6a6d04a67b7 (detached: false).
> [flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient -
> Shutting down rest endpoint.
> [flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient -
> Rest endpoint shutdown complete.
> [flink-runner-job-server] ERROR
> org.apache.beam.runners.flink.FlinkJobInvocation - Error during job
> invocation
> BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b.
> org.apache.flink.client.program.ProgramInvocationException: Could not
> retrieve the execution result.
> at
> org.apache.flink.client.program.rest.RestClusterClient.submitJob(RestClusterClient.java:258)
> at
> org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:464)
> at
> org.apache.beam.runners.flink.FlinkExecutionEnvironments$BeamFlinkRemoteStreamEnvironment.executeRemotely(FlinkExecutionEnvironments.java:355)
> at
> org.apache.flink.streaming.api.environment.RemoteStreamEnvironment.execute(RemoteStreamEnvironment.java:179)
> at
> org.apache.beam.runners.flink.FlinkStreamingPortablePipelineTranslator$StreamingTranslationContext.execute(FlinkStreamingPortablePipelineTranslator.java:158)
> at
> org.apache.beam.runners.flink.FlinkJobInvocation.runPipelineWithTranslator(FlinkJobInvocation.java:142)
> at
> org.apache.beam.runners.flink.FlinkJobInvocation.runPipeline(FlinkJobInvocation.java:112)
> at org.apache.beam.repackaged.beam_runners_flink_2.11.com
> .google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:111)
> at org.apache.beam.repackaged.beam_runners_flink_2.11.com
> .google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:58)
> at org.apache.beam.repackaged.beam_runners_flink_2.11.com
> .google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:75)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: org.apache.flink.runtime.client.JobSubmissionException: Failed
> to submit JobGraph.
> at
> org.apache.flink.client.program.rest.RestClusterClient.lambda$submitJob$8(RestClusterClient.java:371)
> at
> java.util.concurrent.CompletableFuture.uniExceptionally(CompletableFuture.java:870)
> at
> java.util.concurrent.CompletableFuture$UniExceptionally.tryFire(CompletableFuture.java:852)
> at
> java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
> at
> java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977)
> at
> org.apache.flink.runtime.concurrent.FutureUtils.lambda$retryOperationWithDelay$5(FutureUtils.java:203)
> at
> java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760)
> at
> java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736)
> at
> java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
> at
> java.util.concurrent.CompletableFuture.postFire(CompletableFuture.java:561)
> at
> java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:929)
> at
> java.util.concurrent.CompletableFuture$Completion.run(CompletableFuture.java:442)
> ... 3 more
> Caused by: org.apache.flink.runtime.rest.util.RestClientException:
> [Internal server error., <Exception on server side:
> java.util.concurrent.CompletionException: java.lang.NullPointerException
> at
> java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:273)
> at
> java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:280)
> at
> java.util.concurrent.CompletableFuture.biApply(CompletableFuture.java:1107)
> at
> java.util.concurrent.CompletableFuture$BiApply.tryFire(CompletableFuture.java:1070)
> at
> java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
> at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1595)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.NullPointerException
> at
> org.apache.flink.runtime.jobgraph.JobGraph.writeUserArtifactEntriesToConfiguration(JobGraph.java:586)
> at
> org.apache.flink.runtime.client.ClientUtils.setUserArtifactBlobKeys(ClientUtils.java:140)
> at
> org.apache.flink.runtime.client.ClientUtils.uploadAndSetUserArtifacts(ClientUtils.java:121)
> at
> org.apache.flink.runtime.client.ClientUtils.uploadJobGraphFiles(ClientUtils.java:78)
> at
> org.apache.flink.runtime.rest.handler.job.JobSubmitHandler.lambda$uploadJobGraphFiles$4(JobSubmitHandler.java:168)
> at
> java.util.concurrent.CompletableFuture.biApply(CompletableFuture.java:1105)
> ... 6 more
>
> End of exception on server side>]
> at
> org.apache.flink.runtime.rest.RestClient.parseResponse(RestClient.java:349)
> at
> org.apache.flink.runtime.rest.RestClient.lambda$submitRequest$3(RestClient.java:333)
> at
> java.util.concurrent.CompletableFuture.uniCompose(CompletableFuture.java:952)
> at
> java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:926)
> ... 4 more
>
> ---- log ends ----
>
> On 2018/11/15 11:01:28, Maximilian Michels <mx...@apache.org> wrote:
> > Hi Ruoyun,
> >
> > The output file will be within the container which is deleted after
> > shutdown by default. You can keep the containers if you add the flag
> >
> > --retain_docker_containers
> >
> > Note, this is from ManualDockerEnvironmentOptions.
> >
> > The problem with batch is that it executes staged and will create
> > multiple containers [1] which don't share the same local file system. So
> > the wordcount only works reliably if you use a distributed file system.
> >
> > Cheers,
> > Max
> >
> > [1] You can prevent multiple containers by using
> > --environment_cache_millis=10000
> >
> > On 14.11.18 20:44, Ruoyun Huang wrote:
> > > Thanks Thomas!
> > >
> > > My desktop runs Linux. I was using gradle to run wordcount, and that
> > > was how I got the job hanging. Since both of you get it working, I
> guess
> > > more likely sth is wrong with my setup.
> > >
> > >
> > > By using Thmoas's python command line exactly as is, I am able to see
> > > the job run succeeds, however two questions:
> > >
> > > 1) Did you check whether output file "/tmp/py-wordcount-direct"
> exists
> > > or not? I expect there should be a text output, but I don't see this
> > > file afterwards. (I am still in the stage building confidence in
> > > telling what a succeeded run is. Maybe I will try DataflowRunner and
> > > cross check outputs).
> > >
> > > 2) Why it needs a "--streaming" arg? Isn't this a static batch
> input,
> > > by feeding a txt file input? In fact, I got failure message if I
> remove
> > > '--streaming', not sure if it is due to my setup again.
> > >
> > >
> > > On Wed, Nov 14, 2018 at 7:51 AM Thomas Weise <thw@apache.org
> > > <ma...@apache.org>> wrote:
> > >
> > > Works for me on macOS as well.
> > >
> > > In case you don't launch the pipeline through Gradle, this would be
> > > the command:
> > >
> > > python -m apache_beam.examples.wordcount \
> > > --input=/etc/profile \
> > > --output=/tmp/py-wordcount-direct \
> > > --runner=PortableRunner \
> > > --job_endpoint=localhost:8099 \
> > > --parallelism=1 \
> > > --OPTIONALflink_master=localhost:8081 \
> > > --streaming
> > >
> > > We talked about adding the wordcount to pre-commit..
> > >
> > > Regarding using ULR vs. Flink runner: There seems to be confusion
> > > between PortableRunner using the user supplied endpoint vs. trying
> > > to launch a job server. I commented in the doc.
> > >
> > > Thomas
> > >
> > >
> > >
> > > On Wed, Nov 14, 2018 at 3:30 AM Maximilian Michels <mxm@apache.org
> > > <ma...@apache.org>> wrote:
> > >
> > > Hi Ruoyun,
> > >
> > > I just ran the wordcount locally using the instructions on the
> > > page.
> > > I've tried the local file system and GCS. Both times it ran
> > > successfully
> > > and produced valid output.
> > >
> > > I'm assuming there is some problem with your setup. Which
> > > platform are
> > > you using? I'm on MacOS.
> > >
> > > Could you expand on the planned merge? From my understanding we
> > > will
> > > always need PortableRunner in Python to be able to submit
> > > against the
> > > Beam JobServer.
> > >
> > > Thanks,
> > > Max
> > >
> > > On 14.11.18 00:39, Ruoyun Huang wrote:
> > > > A quick follow-up on using current PortableRunner.
> > > >
> > > > I followed the exact three steps as Ankur and Maximilian
> > > shared in
> > > >
> https://beam.apache.org/roadmap/portability/#python-on-flink
> > > ; The
> > > > wordcount example keeps hanging after 10 minutes. I also
> tried
> > > > specifying explicit input/output args, either using gcs
> > > folder or local
> > > > file system, but none of them works.
> > > >
> > > > Spent some time looking into it but conclusion yet. At this
> > > point
> > > > though, I guess it does not matter much any more, given we
> > > already have
> > > > the plan of merging PortableRunner into using java reference
> > > runner
> > > > (i.e. :beam-runners-reference-job-server).
> > > >
> > > > Still appreciated if someone can try out the python-on-flink
> > > >
> > > <https://beam.apache.org/roadmap/portability/#python-on-flink
> >instructions
> > >
> > > > in case it is just due to my local machine setup. Thanks!
> > > >
> > > >
> > > >
> > > > On Thu, Nov 8, 2018 at 5:04 PM Ruoyun Huang
> > > <ruoyun@google.com <ma...@google.com>
> > > > <mailto:ruoyun@google.com <ma...@google.com>>>
> wrote:
> > > >
> > > > Thanks Maximilian!
> > > >
> > > > I am working on migrating existing PortableRunner to
> > > using java ULR
> > > > (Link to Notes
> > > >
> > > <
> https://docs.google.com/document/d/1S86saZqiDaE_M5wxO0zOQ_rwC6QHv7sp1BmGTm0dLNE/edit#
> >).
> > > > If this issue is non-trivial to solve, I would vote for
> > > removing
> > > > this default behavior as part of the consolidation.
> > > >
> > > > On Thu, Nov 8, 2018 at 2:58 AM Maximilian Michels
> > > <mxm@apache.org <ma...@apache.org>
> > > > <mailto:mxm@apache.org <ma...@apache.org>>> wrote:
> > > >
> > > > In the long run, we should get rid of the
> > > Docker-inside-Docker
> > > > approach,
> > > > which was only intended for testing anyways. It
> would
> > > be cleaner to
> > > > start the SDK harness container alongside with
> > > JobServer container.
> > > >
> > > > Short term, I think it should be easy to either fix
> the
> > > > permissions of
> > > > the mounted "docker" executable or use a Docker
> image
> > > for the
> > > > JobServer
> > > > which comes with Docker pre-installed.
> > > >
> > > > JIRA:
> https://issues.apache.org/jira/browse/BEAM-6020
> > > >
> > > > Thanks for reporting this Ruoyun!
> > > >
> > > > -Max
> > > >
> > > > On 08.11.18 00:10, Ruoyun Huang wrote:
> > > > > Thanks Ankur and Maximilian.
> > > > >
> > > > > Just for reference in case other people
> > > encountering the same
> > > > error
> > > > > message, the "permission denied" error in my
> > > original email
> > > > is exactly
> > > > > due to dockerinsidedocker issue that Ankur
> mentioned.
> > > > Thanks Ankur!
> > > > > Didn't make the link when you said it, had to
> > > discover that
> > > > in a hard
> > > > > way (I thought it is due to my docker
> installation
> > > messed up).
> > > > >
> > > > > On Tue, Nov 6, 2018 at 1:53 AM Maximilian Michels
> > > > <mxm@apache.org <ma...@apache.org>
> > > <mailto:mxm@apache.org <ma...@apache.org>>
> > > > > <mailto:mxm@apache.org <ma...@apache.org>
> > > <mailto:mxm@apache.org <ma...@apache.org>>>> wrote:
> > > > >
> > > > > Hi,
> > > > >
> > > > > Please follow
> > > > >
> > > https://beam.apache.org/roadmap/portability/#python-on-flink
> > > > >
> > > > > Cheers,
> > > > > Max
> > > > >
> > > > > On 06.11.18 01:14, Ankur Goenka wrote:
> > > > > > Hi,
> > > > > >
> > > > > > The Portable Runner requires a job server
> > > uri to work
> > > > with. The
> > > > > current
> > > > > > default job server docker image is broken
> > > because of
> > > > docker inside
> > > > > > docker issue.
> > > > > >
> > > > > > Please refer to
> > > > > >
> > > >
> https://beam.apache.org/roadmap/portability/#python-on-flink for
> > > > > how to
> > > > > > run a wordcount using Portable Flink
> Runner.
> > > > > >
> > > > > > Thanks,
> > > > > > Ankur
> > > > > >
> > > > > > On Mon, Nov 5, 2018 at 3:41 PM Ruoyun
> Huang
> > > > <ruoyun@google.com <ma...@google.com>
> > > <mailto:ruoyun@google.com <ma...@google.com>>
> > > > > <mailto:ruoyun@google.com
> > > <ma...@google.com> <mailto:ruoyun@google.com
> > > <ma...@google.com>>>
> > > > > > <mailto:ruoyun@google.com
> > > <ma...@google.com> <mailto:ruoyun@google.com
> > > <ma...@google.com>>
> > > > <mailto:ruoyun@google.com <mailto:ruoyun@google.com
> >
> > > <mailto:ruoyun@google.com <ma...@google.com>>>>>
> wrote:
> > > > > >
> > > > > > Hi, Folks,
> > > > > >
> > > > > > I want to try out Python
> > > PortableRunner, by
> > > > using following
> > > > > > command:
> > > > > >
> > > > > > *sdk/python: python -m
> > > apache_beam.examples.wordcount
> > > > > > --output=/tmp/test_output --runner
> > > PortableRunner*
> > > > > >
> > > > > > It complains with following
> error
> > > message:
> > > > > >
> > > > > > Caused by: java.lang.Exception: The
> > > user defined
> > > > 'open()' method
> > > > > > caused an exception:
> > > java.io.IOException: Cannot
> > > > run program
> > > > > > "docker": error=13, Permission denied
> > > > > > at
> > > > >
> > > >
> > >
> org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:498)
> > > > > > at
> > > > > >
> > > > >
> > > >
> > >
> org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:368)
> > > > > > at
> > > >
> > > org.apache.flink.runtime.taskmanager.Task.run(Task.java:712)
> > > > > > ... 1 more
> > > > > > Caused by:
> > > > > >
> > > > >
> > > >
> > >
> org.apache.beam.repackaged.beam_runners_java_fn_execution.com.google.common.util.concurrent.UncheckedExecutionException:
> > > > > > java.io.IOException: Cannot run
> program
> > > "docker":
> > > > error=13,
> > > > > > Permission denied
> > > > > > at
> > > > > >
> > > > >
> > > >
> > >
> org.apache.beam.repackaged.beam_runners_java_fn_execution.com.google.common.cache.LocalCache$LocalLoadingCache.getUnchecked(LocalCache.java:4994)
> > > > > >
> > > > > > ... 7 more
> > > > > >
> > > > > >
> > > > > >
> > > > > > My py2 environment is properly
> > > configured, because
> > > > DirectRunner
> > > > > > works. Also I tested my docker
> > > installation by
> > > > 'docker run
> > > > > > hello-world ', no issue.
> > > > > >
> > > > > >
> > > > > > Thanks.
> > > > > > --
> > > > > > ================
> > > > > > Ruoyun Huang
> > > > > >
> > > > >
> > > > >
> > > > >
> > > > > --
> > > > > ================
> > > > > Ruoyun Huang
> > > > >
> > > >
> > > >
> > > >
> > > > --
> > > > ================
> > > > Ruoyun Huang
> > > >
> > > >
> > > >
> > > > --
> > > > ================
> > > > Ruoyun Huang
> > > >
> > >
> > >
> > >
> > > --
> > > ================
> > > Ruoyun Huang
> > >
> >
>
Re: How to use "PortableRunner" in Python SDK?
Posted by Ankur Goenka <go...@google.com>.
Hi Jun,
This error can be because of different Flink version.
Please make sure that you are using Flink 1.5.6 for the commands you
mentioned.
Thanks,
Ankur
On Tue, Jan 22, 2019 at 11:44 AM junwan01@gmail.com <ju...@gmail.com>
wrote:
> Hello,
>
> I tried to follow the instructions at
> https://beam.apache.org/roadmap/portability/#python-on-flink,
>
> 1. I installed Flink local cluster, and followed their
> SocketWindowWordCount example and confirmed the cluster works properly.
>
> 2. Start Flink job server:
> ./gradlew :beam-runners-flink_2.11-job-server:runShadow
> -PflinkMasterUrl=localhost:8081
>
> 3. Subject the job as suggested by an earlier thread:
> python -m apache_beam.examples.wordcount --input=/etc/profile
> --output=/tmp/py-wordcount-direct --runner=PortableRunner
> --job_endpoint=localhost:8099 --parallelism=1
> --OPTIONALflink_master=localhost:8081 --streaming
>
> But got the following NullPointerException error (sorry for the long text
> below), any ideas? Thanks
>
> Jun Wan
>
> ---- log starts ----
> [grpc-default-executor-2] INFO
> org.apache.beam.runners.flink.FlinkJobInvoker - Invoking job
> BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b
> [grpc-default-executor-2] INFO
> org.apache.beam.runners.flink.FlinkJobInvocation - Starting job invocation
> BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b
> [flink-runner-job-server] INFO
> org.apache.beam.runners.flink.FlinkJobInvocation - Translating pipeline to
> Flink program.
> [flink-runner-job-server] INFO
> org.apache.beam.runners.flink.FlinkExecutionEnvironments - Creating a
> Streaming Environment.
> [flink-runner-job-server] INFO
> org.apache.beam.runners.flink.FlinkExecutionEnvironments - Using Flink
> Master URL localhost:8081.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - No fields were detected
> for class org.apache.beam.sdk.util.WindowedValue so it cannot be used as a
> POJO type and must be processed as GenericType. Please read the Flink
> documentation on "Data Types & Serialization" for details of the effect on
> performance.
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - class
> org.apache.beam.sdk.transforms.join.RawUnionValue does not contain a setter
> for field unionTag
> [flink-runner-job-server] INFO
> org.apache.flink.api.java.typeutils.TypeExtractor - Class class
> org.apache.beam.sdk.transforms.join.RawUnionValue cannot be used as a POJO
> type because not all fields are valid POJO fields, and must be processed as
> GenericType. Please read the Flink documentation on "Data Types &
> Serialization" for details of the effect on performance.
> [flink-runner-job-server] INFO
> org.apache.beam.runners.flink.FlinkExecutionEnvironments - Running remotely
> at localhost:8081
> [flink-runner-job-server] WARN
> org.apache.flink.configuration.Configuration - Config uses deprecated
> configuration key 'jobmanager.rpc.address' instead of proper key
> 'rest.address'
> [flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient -
> Rest client endpoint started.
> [flink-runner-job-server] INFO
> org.apache.flink.client.program.rest.RestClusterClient - Submitting job
> 9a91889c469db1d88ec8f6a6d04a67b7 (detached: false).
> [flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient -
> Shutting down rest endpoint.
> [flink-runner-job-server] INFO org.apache.flink.runtime.rest.RestClient -
> Rest endpoint shutdown complete.
> [flink-runner-job-server] ERROR
> org.apache.beam.runners.flink.FlinkJobInvocation - Error during job
> invocation
> BeamApp-jwan-0121192804-387b3baa_1d32eea3-d71a-45a9-afa8-edbc66bc1d6b.
> org.apache.flink.client.program.ProgramInvocationException: Could not
> retrieve the execution result.
> at
> org.apache.flink.client.program.rest.RestClusterClient.submitJob(RestClusterClient.java:258)
> at
> org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:464)
> at
> org.apache.beam.runners.flink.FlinkExecutionEnvironments$BeamFlinkRemoteStreamEnvironment.executeRemotely(FlinkExecutionEnvironments.java:355)
> at
> org.apache.flink.streaming.api.environment.RemoteStreamEnvironment.execute(RemoteStreamEnvironment.java:179)
> at
> org.apache.beam.runners.flink.FlinkStreamingPortablePipelineTranslator$StreamingTranslationContext.execute(FlinkStreamingPortablePipelineTranslator.java:158)
> at
> org.apache.beam.runners.flink.FlinkJobInvocation.runPipelineWithTranslator(FlinkJobInvocation.java:142)
> at
> org.apache.beam.runners.flink.FlinkJobInvocation.runPipeline(FlinkJobInvocation.java:112)
> at org.apache.beam.repackaged.beam_runners_flink_2.11.com
> .google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:111)
> at org.apache.beam.repackaged.beam_runners_flink_2.11.com
> .google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:58)
> at org.apache.beam.repackaged.beam_runners_flink_2.11.com
> .google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:75)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: org.apache.flink.runtime.client.JobSubmissionException: Failed
> to submit JobGraph.
> at
> org.apache.flink.client.program.rest.RestClusterClient.lambda$submitJob$8(RestClusterClient.java:371)
> at
> java.util.concurrent.CompletableFuture.uniExceptionally(CompletableFuture.java:870)
> at
> java.util.concurrent.CompletableFuture$UniExceptionally.tryFire(CompletableFuture.java:852)
> at
> java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
> at
> java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977)
> at
> org.apache.flink.runtime.concurrent.FutureUtils.lambda$retryOperationWithDelay$5(FutureUtils.java:203)
> at
> java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760)
> at
> java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736)
> at
> java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
> at
> java.util.concurrent.CompletableFuture.postFire(CompletableFuture.java:561)
> at
> java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:929)
> at
> java.util.concurrent.CompletableFuture$Completion.run(CompletableFuture.java:442)
> ... 3 more
> Caused by: org.apache.flink.runtime.rest.util.RestClientException:
> [Internal server error., <Exception on server side:
> java.util.concurrent.CompletionException: java.lang.NullPointerException
> at
> java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:273)
> at
> java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:280)
> at
> java.util.concurrent.CompletableFuture.biApply(CompletableFuture.java:1107)
> at
> java.util.concurrent.CompletableFuture$BiApply.tryFire(CompletableFuture.java:1070)
> at
> java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
> at
> java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1595)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.NullPointerException
> at
> org.apache.flink.runtime.jobgraph.JobGraph.writeUserArtifactEntriesToConfiguration(JobGraph.java:586)
> at
> org.apache.flink.runtime.client.ClientUtils.setUserArtifactBlobKeys(ClientUtils.java:140)
> at
> org.apache.flink.runtime.client.ClientUtils.uploadAndSetUserArtifacts(ClientUtils.java:121)
> at
> org.apache.flink.runtime.client.ClientUtils.uploadJobGraphFiles(ClientUtils.java:78)
> at
> org.apache.flink.runtime.rest.handler.job.JobSubmitHandler.lambda$uploadJobGraphFiles$4(JobSubmitHandler.java:168)
> at
> java.util.concurrent.CompletableFuture.biApply(CompletableFuture.java:1105)
> ... 6 more
>
> End of exception on server side>]
> at
> org.apache.flink.runtime.rest.RestClient.parseResponse(RestClient.java:349)
> at
> org.apache.flink.runtime.rest.RestClient.lambda$submitRequest$3(RestClient.java:333)
> at
> java.util.concurrent.CompletableFuture.uniCompose(CompletableFuture.java:952)
> at
> java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:926)
> ... 4 more
>
> ---- log ends ----
>
> On 2018/11/15 11:01:28, Maximilian Michels <mx...@apache.org> wrote:
> > Hi Ruoyun,
> >
> > The output file will be within the container which is deleted after
> > shutdown by default. You can keep the containers if you add the flag
> >
> > --retain_docker_containers
> >
> > Note, this is from ManualDockerEnvironmentOptions.
> >
> > The problem with batch is that it executes staged and will create
> > multiple containers [1] which don't share the same local file system. So
> > the wordcount only works reliably if you use a distributed file system.
> >
> > Cheers,
> > Max
> >
> > [1] You can prevent multiple containers by using
> > --environment_cache_millis=10000
> >
> > On 14.11.18 20:44, Ruoyun Huang wrote:
> > > Thanks Thomas!
> > >
> > > My desktop runs Linux. I was using gradle to run wordcount, and that
> > > was how I got the job hanging. Since both of you get it working, I
> guess
> > > more likely sth is wrong with my setup.
> > >
> > >
> > > By using Thmoas's python command line exactly as is, I am able to see
> > > the job run succeeds, however two questions:
> > >
> > > 1) Did you check whether output file "/tmp/py-wordcount-direct"
> exists
> > > or not? I expect there should be a text output, but I don't see this
> > > file afterwards. (I am still in the stage building confidence in
> > > telling what a succeeded run is. Maybe I will try DataflowRunner and
> > > cross check outputs).
> > >
> > > 2) Why it needs a "--streaming" arg? Isn't this a static batch
> input,
> > > by feeding a txt file input? In fact, I got failure message if I
> remove
> > > '--streaming', not sure if it is due to my setup again.
> > >
> > >
> > > On Wed, Nov 14, 2018 at 7:51 AM Thomas Weise <thw@apache.org
> > > <ma...@apache.org>> wrote:
> > >
> > > Works for me on macOS as well.
> > >
> > > In case you don't launch the pipeline through Gradle, this would be
> > > the command:
> > >
> > > python -m apache_beam.examples.wordcount \
> > > --input=/etc/profile \
> > > --output=/tmp/py-wordcount-direct \
> > > --runner=PortableRunner \
> > > --job_endpoint=localhost:8099 \
> > > --parallelism=1 \
> > > --OPTIONALflink_master=localhost:8081 \
> > > --streaming
> > >
> > > We talked about adding the wordcount to pre-commit..
> > >
> > > Regarding using ULR vs. Flink runner: There seems to be confusion
> > > between PortableRunner using the user supplied endpoint vs. trying
> > > to launch a job server. I commented in the doc.
> > >
> > > Thomas
> > >
> > >
> > >
> > > On Wed, Nov 14, 2018 at 3:30 AM Maximilian Michels <mxm@apache.org
> > > <ma...@apache.org>> wrote:
> > >
> > > Hi Ruoyun,
> > >
> > > I just ran the wordcount locally using the instructions on the
> > > page.
> > > I've tried the local file system and GCS. Both times it ran
> > > successfully
> > > and produced valid output.
> > >
> > > I'm assuming there is some problem with your setup. Which
> > > platform are
> > > you using? I'm on MacOS.
> > >
> > > Could you expand on the planned merge? From my understanding we
> > > will
> > > always need PortableRunner in Python to be able to submit
> > > against the
> > > Beam JobServer.
> > >
> > > Thanks,
> > > Max
> > >
> > > On 14.11.18 00:39, Ruoyun Huang wrote:
> > > > A quick follow-up on using current PortableRunner.
> > > >
> > > > I followed the exact three steps as Ankur and Maximilian
> > > shared in
> > > >
> https://beam.apache.org/roadmap/portability/#python-on-flink
> > > ; The
> > > > wordcount example keeps hanging after 10 minutes. I also
> tried
> > > > specifying explicit input/output args, either using gcs
> > > folder or local
> > > > file system, but none of them works.
> > > >
> > > > Spent some time looking into it but conclusion yet. At this
> > > point
> > > > though, I guess it does not matter much any more, given we
> > > already have
> > > > the plan of merging PortableRunner into using java reference
> > > runner
> > > > (i.e. :beam-runners-reference-job-server).
> > > >
> > > > Still appreciated if someone can try out the python-on-flink
> > > >
> > > <https://beam.apache.org/roadmap/portability/#python-on-flink
> >instructions
> > >
> > > > in case it is just due to my local machine setup. Thanks!
> > > >
> > > >
> > > >
> > > > On Thu, Nov 8, 2018 at 5:04 PM Ruoyun Huang
> > > <ruoyun@google.com <ma...@google.com>
> > > > <mailto:ruoyun@google.com <ma...@google.com>>>
> wrote:
> > > >
> > > > Thanks Maximilian!
> > > >
> > > > I am working on migrating existing PortableRunner to
> > > using java ULR
> > > > (Link to Notes
> > > >
> > > <
> https://docs.google.com/document/d/1S86saZqiDaE_M5wxO0zOQ_rwC6QHv7sp1BmGTm0dLNE/edit#
> >).
> > > > If this issue is non-trivial to solve, I would vote for
> > > removing
> > > > this default behavior as part of the consolidation.
> > > >
> > > > On Thu, Nov 8, 2018 at 2:58 AM Maximilian Michels
> > > <mxm@apache.org <ma...@apache.org>
> > > > <mailto:mxm@apache.org <ma...@apache.org>>> wrote:
> > > >
> > > > In the long run, we should get rid of the
> > > Docker-inside-Docker
> > > > approach,
> > > > which was only intended for testing anyways. It
> would
> > > be cleaner to
> > > > start the SDK harness container alongside with
> > > JobServer container.
> > > >
> > > > Short term, I think it should be easy to either fix
> the
> > > > permissions of
> > > > the mounted "docker" executable or use a Docker
> image
> > > for the
> > > > JobServer
> > > > which comes with Docker pre-installed.
> > > >
> > > > JIRA:
> https://issues.apache.org/jira/browse/BEAM-6020
> > > >
> > > > Thanks for reporting this Ruoyun!
> > > >
> > > > -Max
> > > >
> > > > On 08.11.18 00:10, Ruoyun Huang wrote:
> > > > > Thanks Ankur and Maximilian.
> > > > >
> > > > > Just for reference in case other people
> > > encountering the same
> > > > error
> > > > > message, the "permission denied" error in my
> > > original email
> > > > is exactly
> > > > > due to dockerinsidedocker issue that Ankur
> mentioned.
> > > > Thanks Ankur!
> > > > > Didn't make the link when you said it, had to
> > > discover that
> > > > in a hard
> > > > > way (I thought it is due to my docker
> installation
> > > messed up).
> > > > >
> > > > > On Tue, Nov 6, 2018 at 1:53 AM Maximilian Michels
> > > > <mxm@apache.org <ma...@apache.org>
> > > <mailto:mxm@apache.org <ma...@apache.org>>
> > > > > <mailto:mxm@apache.org <ma...@apache.org>
> > > <mailto:mxm@apache.org <ma...@apache.org>>>> wrote:
> > > > >
> > > > > Hi,
> > > > >
> > > > > Please follow
> > > > >
> > > https://beam.apache.org/roadmap/portability/#python-on-flink
> > > > >
> > > > > Cheers,
> > > > > Max
> > > > >
> > > > > On 06.11.18 01:14, Ankur Goenka wrote:
> > > > > > Hi,
> > > > > >
> > > > > > The Portable Runner requires a job server
> > > uri to work
> > > > with. The
> > > > > current
> > > > > > default job server docker image is broken
> > > because of
> > > > docker inside
> > > > > > docker issue.
> > > > > >
> > > > > > Please refer to
> > > > > >
> > > >
> https://beam.apache.org/roadmap/portability/#python-on-flink for
> > > > > how to
> > > > > > run a wordcount using Portable Flink
> Runner.
> > > > > >
> > > > > > Thanks,
> > > > > > Ankur
> > > > > >
> > > > > > On Mon, Nov 5, 2018 at 3:41 PM Ruoyun
> Huang
> > > > <ruoyun@google.com <ma...@google.com>
> > > <mailto:ruoyun@google.com <ma...@google.com>>
> > > > > <mailto:ruoyun@google.com
> > > <ma...@google.com> <mailto:ruoyun@google.com
> > > <ma...@google.com>>>
> > > > > > <mailto:ruoyun@google.com
> > > <ma...@google.com> <mailto:ruoyun@google.com
> > > <ma...@google.com>>
> > > > <mailto:ruoyun@google.com <mailto:ruoyun@google.com
> >
> > > <mailto:ruoyun@google.com <ma...@google.com>>>>>
> wrote:
> > > > > >
> > > > > > Hi, Folks,
> > > > > >
> > > > > > I want to try out Python
> > > PortableRunner, by
> > > > using following
> > > > > > command:
> > > > > >
> > > > > > *sdk/python: python -m
> > > apache_beam.examples.wordcount
> > > > > > --output=/tmp/test_output --runner
> > > PortableRunner*
> > > > > >
> > > > > > It complains with following
> error
> > > message:
> > > > > >
> > > > > > Caused by: java.lang.Exception: The
> > > user defined
> > > > 'open()' method
> > > > > > caused an exception:
> > > java.io.IOException: Cannot
> > > > run program
> > > > > > "docker": error=13, Permission denied
> > > > > > at
> > > > >
> > > >
> > >
> org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:498)
> > > > > > at
> > > > > >
> > > > >
> > > >
> > >
> org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:368)
> > > > > > at
> > > >
> > > org.apache.flink.runtime.taskmanager.Task.run(Task.java:712)
> > > > > > ... 1 more
> > > > > > Caused by:
> > > > > >
> > > > >
> > > >
> > >
> org.apache.beam.repackaged.beam_runners_java_fn_execution.com.google.common.util.concurrent.UncheckedExecutionException:
> > > > > > java.io.IOException: Cannot run
> program
> > > "docker":
> > > > error=13,
> > > > > > Permission denied
> > > > > > at
> > > > > >
> > > > >
> > > >
> > >
> org.apache.beam.repackaged.beam_runners_java_fn_execution.com.google.common.cache.LocalCache$LocalLoadingCache.getUnchecked(LocalCache.java:4994)
> > > > > >
> > > > > > ... 7 more
> > > > > >
> > > > > >
> > > > > >
> > > > > > My py2 environment is properly
> > > configured, because
> > > > DirectRunner
> > > > > > works. Also I tested my docker
> > > installation by
> > > > 'docker run
> > > > > > hello-world ', no issue.
> > > > > >
> > > > > >
> > > > > > Thanks.
> > > > > > --
> > > > > > ================
> > > > > > Ruoyun Huang
> > > > > >
> > > > >
> > > > >
> > > > >
> > > > > --
> > > > > ================
> > > > > Ruoyun Huang
> > > > >
> > > >
> > > >
> > > >
> > > > --
> > > > ================
> > > > Ruoyun Huang
> > > >
> > > >
> > > >
> > > > --
> > > > ================
> > > > Ruoyun Huang
> > > >
> > >
> > >
> > >
> > > --
> > > ================
> > > Ruoyun Huang
> > >
> >
>