Hi,
 Yes I have activated the Dataflow api and it is getting executed in the
local. The problem is when I try to execute on the Cloud Dataflow service.



Thanks and Regards
Anil

On Apr 12, 2017 17:33, "Alexandre Crayssac" <[email protected]>
wrote:

> Hi,
>
> Have you activated the Dataflow API in the GCP console ?
>
> Regards,
>
> Alexandre
>
> On Wed, Apr 12, 2017 at 11:52 AM, Anil Srinivas <
> [email protected]> wrote:
>
>> Hi,
>> I have been trying to execute the example word-count on the cloud
>> dataflow service as per the documentation in https://cloud.google.com/da
>> taflow/docs/quickstarts/quickstart-java-maven. Even after following the
>> exact same steps as mentioned in the document, I am getting the following
>> error:
>>
>> Caused by: com.google.cloud.dataflow.sdk.util.UserCodeException:
>> java.lang.RuntimeException: java.lang.RuntimeException:
>> com.google.cloud.dataflow.sdk.util.UserCodeException:
>> java.io.IOException: com.google.api.client.googleap
>> is.json.GoogleJsonResponseException: 400 Bad Request
>> {
>>   "code" : 400,
>>   "errors" : [ {
>>     "domain" : "global",
>>     "message" : "No object name",
>>     "reason" : "required"
>>   } ],
>>   "message" : "No object name"
>> }
>> at com.google.cloud.dataflow.sdk.util.UserCodeException.wrap(Us
>> erCodeException.java:35)
>> at com.google.cloud.dataflow.sdk.util.UserCodeException.wrapIf(
>> UserCodeException.java:40)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.wrapUserCo
>> deException(DoFnRunnerBase.java:369)
>> at com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokePr
>> ocessElement(SimpleDoFnRunner.java:51)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processEle
>> ment(DoFnRunnerBase.java:139)
>> at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.p
>> rocessElement(SimpleParDoFn.java:188)
>> at com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDo
>> Fn.processElement(ForwardingParDoFn.java:42)
>> at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerL
>> oggingParDoFn.processElement(DataflowWorkerLoggingParDoFn.java:47)
>> at com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperat
>> ion.process(ParDoOperation.java:55)
>> at com.google.cloud.dataflow.sdk.util.common.worker.OutputRecei
>> ver.process(OutputReceiver.java:52)
>> at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn$1
>> .output(SimpleParDoFn.java:158)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContex
>> t.outputWindowedValue(DoFnRunnerBase.java:288)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnProces
>> sContext.output(DoFnRunnerBase.java:450)
>> at com.google.cloud.dataflow.sdk.runners.worker.CombineValuesFn
>> Factory$ExtractOutputDoFn.processElement(CombineValuesFnFactory.java:270)
>> at com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokePr
>> ocessElement(SimpleDoFnRunner.java:49)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processEle
>> ment(DoFnRunnerBase.java:139)
>> at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.p
>> rocessElement(SimpleParDoFn.java:188)
>> at com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDo
>> Fn.processElement(ForwardingParDoFn.java:42)
>> at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerL
>> oggingParDoFn.processElement(DataflowWorkerLoggingParDoFn.java:47)
>> at com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperat
>> ion.process(ParDoOperation.java:55)
>> at com.google.cloud.dataflow.sdk.util.common.worker.OutputRecei
>> ver.process(OutputReceiver.java:52)
>> at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn$1
>> .output(SimpleParDoFn.java:158)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContex
>> t.outputWindowedValue(DoFnRunnerBase.java:288)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContex
>> t.outputWindowedValue(DoFnRunnerBase.java:284)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnProces
>> sContext$1.outputWindowedValue(DoFnRunnerBase.java:508)
>> at com.google.cloud.dataflow.sdk.util.GroupAlsoByWindowsAndComb
>> ineDoFn.closeWindow(GroupAlsoByWindowsAndCombineDoFn.java:203)
>> at com.google.cloud.dataflow.sdk.util.GroupAlsoByWindowsAndComb
>> ineDoFn.processElement(GroupAlsoByWindowsAndCombineDoFn.java:190)
>> at com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokePr
>> ocessElement(SimpleDoFnRunner.java:49)
>> at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processEle
>> ment(DoFnRunnerBase.java:139)
>> at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.p
>> rocessElement(SimpleParDoFn.java:188)
>> at com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDo
>> Fn.processElement(ForwardingParDoFn.java:42)
>> at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerL
>> oggingParDoFn.processElement(DataflowWorkerLoggingParDoFn.java:47)
>> at com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperat
>> ion.process(ParDoOperation.java:55)
>> at com.google.cloud.dataflow.sdk.util.common.worker.OutputRecei
>> ver.process(OutputReceiver.java:52)
>> at com.google.cloud.dataflow.sdk.util.common.worker.ReadOperati
>> on.runReadLoop(ReadOperation.java:221)
>> at com.google.cloud.dataflow.sdk.util.common.worker.ReadOperati
>> on.start(ReadOperation.java:182)
>> at com.google.cloud.dataflow.sdk.util.common.worker.MapTaskExec
>> utor.execute(MapTaskExecutor.java:69)
>> at com.google.cloud.dataflow.sdk.runners.worker.Datafl
>> 2017-04-12T09:30:48.972Z: Detail:  (7323341af8d0122c): Cleaning up.
>> 2017-04-12T09:30:48.978Z: Basic:  (7323341af8d010f8): Stopping worker
>> pool...
>> 2017-04-12T09:31:53.989Z: Basic:  (7323341af8d01811): Worker pool stopped.
>> Apr 12, 2017 3:01:59 PM com.google.cloud.dataflow.sdk.
>> runners.BlockingDataflowPipelineRunner run
>> INFO: Job finished with status FAILED
>> [WARNING]
>> java.lang.reflect.InvocationTargetException
>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAcce
>> ssorImpl.java:62)
>> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMe
>> thodAccessorImpl.java:43)
>> at java.lang.reflect.Method.invoke(Method.java:498)
>> at org.codehaus.mojo.exec.ExecJavaMojo$1.run(ExecJavaMojo.java:293)
>> at java.lang.Thread.run(Thread.java:745)
>> Caused by: 
>> com.google.cloud.dataflow.sdk.runners.DataflowJobExecutionException:
>> Job 2017-04-12_02_26_24-7430037228537323212 failed with status FAILED
>> at com.google.cloud.dataflow.sdk.runners.BlockingDataflowPipeli
>> neRunner.run(BlockingDataflowPipelineRunner.java:158)
>> at com.google.cloud.dataflow.sdk.runners.BlockingDataflowPipeli
>> neRunner.run(BlockingDataflowPipelineRunner.java:56)
>> at com.google.cloud.dataflow.sdk.Pipeline.run(Pipeline.java:181)
>> at com.example.WordCount.main(WordCount.java:202)
>> ... 6 more
>> [INFO] ------------------------------------------------------------
>> ------------
>> [INFO] BUILD FAILURE
>> [INFO] ------------------------------------------------------------
>> ------------
>> [INFO] Total time: 06:14 min
>> [INFO] Finished at: 2017-04-12T15:01:59+05:30
>> [INFO] Final Memory: 28M/367M
>> [INFO] ------------------------------------------------------------
>> ------------
>> [ERROR] Failed to execute goal org.codehaus.mojo:exec-maven-plugin:1.4.0:java
>> (default-cli) on project first-dataflow: An exception occured while
>> executing the Java class. null: InvocationTargetException: Job
>> 2017-04-12_02_26_24-7430037228537323212 failed with status FAILED ->
>> [Help 1]
>> [ERROR]
>> [ERROR] To see the full stack trace of the errors, re-run Maven with the
>> -e switch.
>> [ERROR] Re-run Maven using the -X switch to enable full debug logging.
>> [ERROR]
>> [ERROR] For more information about the errors and possible solutions,
>> please read the following articles:
>> [ERROR] [Help 1] http://cwiki.apache.org/con
>> fluence/display/MAVEN/MojoExecutionException
>>
>> Any help regarding this issue will be highly appreciated as there are not
>> much documentations and discussions regarding the same.
>>
>>
>> Thanks and Regards
>> Anil
>>
>
>
>
> --
> Alexandre Crayssac
> CTO and Co-Founder
> +33 6 78 00 24 77
> [email protected]
>
>

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