Google数据流工作流程错误

时间:2017-04-19 20:49:27

标签: google-cloud-dataflow

我在同一个项目中有一个批量读写存储桶。我试图写输出时看到这个异常。任何的想法?

(c1a5d1aff2d8459b): java.lang.RuntimeException: com.google.cloud.dataflow.sdk.util.UserCodeException: java.io.IOException: com.google.api.client.googleapis.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.runners.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:160)
    at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContext.outputWindowedValue(DoFnRunnerBase.java:288)
    at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnContext.outputWindowedValue(DoFnRunnerBase.java:284)
    at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase$DoFnProcessContext$1.outputWindowedValue(DoFnRunnerBase.java:508)
    at com.google.cloud.dataflow.sdk.util.GroupAlsoByWindowsViaIteratorsDoFn.processElement(GroupAlsoByWindowsViaIteratorsDoFn.java:123)
    at com.google.cloud.dataflow.sdk.util.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:49)
    at com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.processElement(DoFnRunnerBase.java:139)
    at com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:188)
    at com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDoFn.processElement(ForwardingParDoFn.java:42)
    at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerLoggingParDoFn.processElement(DataflowWorkerLoggingParDoFn.java:47)
    at com.google.cloud.dataflow.sdk.util.common.worker.ParDoOperation.process(ParDoOperation.java:55)
    at com.google.cloud.dataflow.sdk.util.common.worker.OutputReceiver.process(OutputReceiver.java:52)
    at com.google.cloud.dataflow.sdk.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:221)
    at com.google.cloud.dataflow.sdk.util.common.worker.ReadOperation.start(ReadOperation.java:182)
    at com.google.cloud.dataflow.sdk.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:69)
    at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.executeWork(DataflowWorker.java:284)
    at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.doWork(DataflowWorker.java:220)
    at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorker.getAndPerformWork(DataflowWorker.java:170)
    at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.doWork(DataflowWorkerHarness.java:192)
    at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.call(DataflowWorkerHarness.java:172)
    at com.google.cloud.dataflow.sdk.runners.worker.DataflowWorkerHarness$WorkerThread.call(DataflowWorkerHarness.java:159)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

1 个答案:

答案 0 :(得分:0)

这是因为指定TextIO.Write的路径不正确(缺少GCS存储桶 - 示例正确路径为gs://some-bucket/some-output-prefix而在此作业中指定为gs://some-output-prefix)。< / p>

这应该是在管道施工时间,在启动工人之前。这是Apache Beam和Dataflow SDK对GCS路径的验证中的错误。我正在http://github.com/apache/beam/pull/2602处理修复程序,请关注该PR以获取更新。 - jkff 10分钟前

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