I tried that, but still no dice: Just to be clear, it’s not a blocker for me,
given that I have my example running, but for your information the exception is
below.
I’ll watch the commit log on the beam incubator and look forward to deleting my
copy of Raghu’s contributions when they’re merger to master.
Thanks again for everyone’s help,
Bill
Command followed by exception:
$ flink run -c
com.google.cloud.dataflow.contrib.kafka.examples.TopHashtagsExample
target/beam-1.0-SNAPSHOT.jar
--runner=org.apache.beam.runners.flink.FlinkPipelineRunner
--bootstrapServers=cl-pu4p:9092 --topics=test_in --outputTopic=test_out
------------------------------------------------------------
The program finished with the following exception:
org.apache.flink.client.program.ProgramInvocationException: The main method
caused an error.
at
org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:520)
at
org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:403)
at org.apache.flink.client.program.Client.runBlocking(Client.java:248)
at
org.apache.flink.client.CliFrontend.executeProgramBlocking(CliFrontend.java:866)
at org.apache.flink.client.CliFrontend.run(CliFrontend.java:333)
at
org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:1189)
at org.apache.flink.client.CliFrontend.main(CliFrontend.java:1239)
Caused by: java.lang.IllegalArgumentException: Unknown 'runner' specified
'org.apache.beam.runners.flink.FlinkPipelineRunner', supported pipeline runners
[BlockingDataflowPipelineRunner, DataflowPipelineRunner, DirectPipelineRunner]
at
com.google.cloud.dataflow.sdk.repackaged.com.google.common.base.Preconditions.checkArgument(Preconditions.java:146)
at
com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory.parseObjects(PipelineOptionsFactory.java:1445)
at
com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory.access$400(PipelineOptionsFactory.java:99)
at
com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory$Builder.as(PipelineOptionsFactory.java:284)
at
com.google.cloud.dataflow.contrib.kafka.examples.TopHashtagsExample.main(TopHashtagsExample.java:117)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:505)
... 6 more
> On Mar 18, 2016, at 5:35 PM, Thomas Groh <[email protected]> wrote:
>
> I don't believe the FlinkPipelineRunner is registered the same way the
> Dataflow & Direct Pipeline runners are registered; using
> org.apache.beam.runners.flink.FlinkPipelineRunner should work
>
> On Fri, Mar 18, 2016 at 2:10 PM, William McCarthy <[email protected]
> <mailto:[email protected]>> wrote:
> Thanks Dan,
>
> I tried that, but getting the below. Note that the jar contains the
> FlinkPipelineRunner.
>
>
>
> % jar -tf target/beam-1.0-SNAPSHOT.jar | grep FlinkPipeline
> org/apache/beam/runners/flink/FlinkPipelineRunner.class
> org/apache/beam/runners/flink/FlinkPipelineExecutionEnvironment.class
> org/apache/beam/runners/flink/FlinkPipelineOptions.class
> org/apache/beam/runners/flink/translation/FlinkPipelineTranslator.class
>
> % flink run -c
> com.google.cloud.dataflow.contrib.kafka.examples.TopHashtagsExample
> target/beam-1.0-SNAPSHOT.jar --runner=FlinkPipelineRunner
> --bootstrapServers=cl-pu4p:9092 --topics=test_in --outputTopic=test_out
>
> ------------------------------------------------------------
> The program finished with the following exception:
>
> org.apache.flink.client.program.ProgramInvocationException: The main method
> caused an error.
> at
> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:520)
> at
> org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:403)
> at org.apache.flink.client.program.Client.runBlocking(Client.java:248)
> at
> org.apache.flink.client.CliFrontend.executeProgramBlocking(CliFrontend.java:866)
> at org.apache.flink.client.CliFrontend.run(CliFrontend.java:333)
> at
> org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:1189)
> at org.apache.flink.client.CliFrontend.main(CliFrontend.java:1239)
> Caused by: java.lang.IllegalArgumentException: Unknown 'runner' specified
> 'FlinkPipelineRunner', supported pipeline runners
> [BlockingDataflowPipelineRunner, DataflowPipelineRunner, DirectPipelineRunner]
> at
> com.google.cloud.dataflow.sdk.repackaged.com.google.common.base.Preconditions.checkArgument(Preconditions.java:146)
> at
> com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory.parseObjects(PipelineOptionsFactory.java:1445)
> at
> com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory.access$400(PipelineOptionsFactory.java:99)
> at
> com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory$Builder.as(PipelineOptionsFactory.java:284)
> at
> com.google.cloud.dataflow.contrib.kafka.examples.TopHashtagsExample.main(TopHashtagsExample.java:117)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:505)
> ... 6 more
>
>
>
>> On Mar 18, 2016, at 5:00 PM, Dan Halperin <[email protected]
>> <mailto:[email protected]>> wrote:
>>
>> Thanks for catching that, Aljoscha!
>>
>> Note that the Flink runner should be available via a command-line option as
>> well: --runner=FlinkPipelineRunner.
>>
>> The list of valid values for that flag is computed by walking the classpath
>> at runtime, so as long as the Flink jar is present it'll work.
>>
>> On Fri, Mar 18, 2016 at 1:21 PM, Aljoscha Krettek <[email protected]
>> <mailto:[email protected]>> wrote:
>> Hi,
>> looks like the example is being executed with the DirectPipelineRunner which
>> does not seem to be able to cope with UnboundedSource. You need to set the
>> runner to the FlinkRunner in the example code as described here:
>> https://github.com/apache/incubator-beam/tree/master/runners/flink#executing-an-example
>>
>> <https://github.com/apache/incubator-beam/tree/master/runners/flink#executing-an-example>
>>
>> The Flink runner should be able to deal with UnboundedSource but has the
>> limitation that sources are always parallelism=1 (this is being worked on,
>> however).
>>
>> Cheers,
>> Aljoscha
>> > On 18 Mar 2016, at 20:56, Dan Halperin <[email protected]
>> > <mailto:[email protected]>> wrote:
>> >
>> > Looks like the Flink runner may not yet support arbitrary code written
>> > with the UnboundedSource API. That is, it looks like the Flink runner
>> > expects the sources to get translated away.
>> >
>> > Max?
>> >
>> > Dan
>> >
>> > On Fri, Mar 18, 2016 at 12:20 PM, William McCarthy
>> > <[email protected] <mailto:[email protected]>> wrote:
>> > Thanks Raghu,
>> >
>> > When I try to run it on flink using the incubator-beam code, i.e.
>> >
>> > flink run -c
>> > com.google.cloud.dataflow.contrib.kafka.examples.TopHashtagsExample
>> > target/beam-1.0-SNAPSHOT.jar --bootstrapServers=cl-pu4p:9092
>> > --topics=test_in --outputTopic=test_out
>> >
>> > I get this:
>> >
>> > org.apache.flink.client.program.ProgramInvocationException: The main
>> > method caused an error.
>> > at
>> > org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:520)
>> > at
>> > org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:403)
>> > at
>> > org.apache.flink.client.program.Client.runBlocking(Client.java:248)
>> > at
>> > org.apache.flink.client.CliFrontend.executeProgramBlocking(CliFrontend.java:866)
>> > at org.apache.flink.client.CliFrontend.run(CliFrontend.java:333)
>> > at
>> > org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:1189)
>> > at org.apache.flink.client.CliFrontend.main(CliFrontend.java:1239)
>> > Caused by: java.lang.IllegalStateException: no evaluator registered for
>> > Read(UnboundedKafkaSource)
>> > at
>> > com.google.cloud.dataflow.sdk.runners.DirectPipelineRunner$Evaluator.visitTransform(DirectPipelineRunner.java:852)
>> > at
>> > com.google.cloud.dataflow.sdk.runners.TransformTreeNode.visit(TransformTreeNode.java:219)
>> > at
>> > com.google.cloud.dataflow.sdk.runners.TransformTreeNode.visit(TransformTreeNode.java:215)
>> > at
>> > com.google.cloud.dataflow.sdk.runners.TransformTreeNode.visit(TransformTreeNode.java:215)
>> > at
>> > com.google.cloud.dataflow.sdk.runners.TransformHierarchy.visit(TransformHierarchy.java:102)
>> > at
>> > com.google.cloud.dataflow.sdk.Pipeline.traverseTopologically(Pipeline.java:259)
>> > at
>> > com.google.cloud.dataflow.sdk.runners.DirectPipelineRunner$Evaluator.run(DirectPipelineRunner.java:814)
>> > at
>> > com.google.cloud.dataflow.sdk.runners.DirectPipelineRunner.run(DirectPipelineRunner.java:526)
>> > at
>> > com.google.cloud.dataflow.sdk.runners.DirectPipelineRunner.run(DirectPipelineRunner.java:96)
>> > at com.google.cloud.dataflow.sdk.Pipeline.run(Pipeline.java:180)
>> > at
>> > com.google.cloud.dataflow.contrib.kafka.examples.TopHashtagsExample.main(TopHashtagsExample.java:140)
>> > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>> > at
>> > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>> > at
>> > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>> > at java.lang.reflect.Method.invoke(Method.java:498)
>> > at
>> > org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:505)
>> > ... 6 more
>> >
>> > Any ideas?
>> >
>> > Bill
>> >
>> >> On Mar 18, 2016, at 2:47 PM, Raghu Angadi <[email protected]
>> >> <mailto:[email protected]>> wrote:
>> >>
>> >> Thanks for trying it.
>> >>
>> >> I fixed the CheckStyle error (not sure why my build is not failing). Let
>> >> me know if you see any issues running with Beam. I haven't tried it. I
>> >> should. In fact Daniel Halperin says my patch should be against Beam..
>> >>
>> >> Raghu.
>> >>
>> >> On Fri, Mar 18, 2016 at 11:22 AM, William McCarthy
>> >> <[email protected] <mailto:[email protected]>> wrote:
>> >> Thanks JB, Emanuele, Kostas & Raghu, especially Kostas and Raghu for
>> >> pointing me to working code.
>> >>
>> >> I’m in the middle of a hack day at the moment, so the speed of your
>> >> responses has been very welcome.
>> >>
>> >> In the first instance, I’ll try using your changes, Raghu. I’ve cloned
>> >> your repo, switched to the kafka branch and built both contrib/kafka and
>> >> contrib/examples/kafka. The contrib/kafka initially failed with a
>> >> CheckStyle error
>> >> (/Users/bill/dev/DataflowJavaSDK/contrib/kafka/src/main/java/com/google/cloud/dataflow/contrib/kafka/KafkaIO.java:683:12:
>> >> 'private' modifier out of order with the JLS suggestions)… I’ve fixed
>> >> that in my local clone and now it’s building fine. I hope to be able to
>> >> run your contrib unchanged on top of the incubator-beam codebase, which
>> >> will be what I attempt to do now.
>> >>
>> >> Thanks again to all, for your swift help.
>> >>
>> >> Bill
>> >>
>> >>> On Mar 18, 2016, at 12:55 PM, Raghu Angadi <[email protected]
>> >>> <mailto:[email protected]>> wrote:
>> >>>
>> >>> Hi Bill,
>> >>>
>> >>> We have fairly well tested patch for KafkaIO (pr #121). It will be
>> >>> merged soon. The example there keeps track of top hashtags in 10 minute
>> >>> sliding window and writes the results to another Kafka topic. Please try
>> >>> it if you can. It is well tested on Google Cloud Dataflow. I have not
>> >>> run it using Flink runner.
>> >>>
>> >>> Raghu.
>> >>>
>> >>> On Fri, Mar 18, 2016 at 9:46 AM, Kostas Kloudas
>> >>> <[email protected] <mailto:[email protected]>> wrote:
>> >>> Hello Bill,
>> >>>
>> >>> This is a known limitation of the Flink Runner.
>> >>> There is a JIRA issue for that
>> >>> https://issues.apache.org/jira/browse/BEAM-127
>> >>> <https://issues.apache.org/jira/browse/BEAM-127>
>> >>>
>> >>> A wrapper for Flink sinks will come soon and as Beam evolves,
>> >>> a more Beam-y solution will come as well.
>> >>>
>> >>> Kostas
>> >>>> On Mar 18, 2016, at 5:23 PM, William McCarthy
>> >>>> <[email protected] <mailto:[email protected]>> wrote:
>> >>>>
>> >>>> Hi,
>> >>>>
>> >>>> I’m trying to write a proof-of-concept which takes messages from Kafka,
>> >>>> transforms them using Beam on Flink, then pushes the results onto a
>> >>>> different Kafka topic.
>> >>>>
>> >>>> I’ve used the KafkaWindowedWordCountExample as a starting point, and
>> >>>> that’s doing the first part of what I want to do, but it outputs to
>> >>>> text files as opposed to Kafka. FlinkKafkaProducer08 looks promising,
>> >>>> but I can’t figure out how to plug it into the pipeline. I was thinking
>> >>>> that it would be wrapped with an UnboundedFlinkSink, or some such, but
>> >>>> that doesn’t seem to exist.
>> >>>>
>> >>>> Any advice or thoughts on what I’m trying to do?
>> >>>>
>> >>>> I’m running the latest incubator-beam (as of last night from Github),
>> >>>> Flink 1.0.0 in cluster mode and Kafka 0.9.0.1, all on Google Compute
>> >>>> Engine (Debian Jessie).
>> >>>>
>> >>>> Thanks,
>> >>>>
>> >>>> Bill McCarthy
>> >>>
>> >>>
>> >>
>> >>
>> >
>> >
>>
>>
>
>
