【发布时间】：2017-08-09 21:57:13
【问题描述】：
我正在使用相同版本的 Apache Beam 2.0.0 和 FlinkRunner (scala 2.10)。我正在使用 FlinkRunner 依赖项对进程内 Flink master（默认配置）进行测试，显然在运行时引入了 Flink 1.2.1（查看 MVN 依赖项树）。
当存在“用户异常”时，找出实际问题的最佳方法是什么？这不是关于我这次做错了什么的问题；而是如何告诉——一般来说——如何从 Beam 或 Flink 中获取更多信息。这是堆栈跟踪：
Exception in thread "main" java.lang.RuntimeException: Pipeline execution failed
at org.apache.beam.runners.flink.FlinkRunner.run(FlinkRunner.java:122)
at org.apache.beam.sdk.Pipeline.run(Pipeline.java:295)
at org.apache.beam.sdk.Pipeline.run(Pipeline.java:281)
at com.mapfit.flow.data.environment.MFEnvironment.run(MFEnvironment.java:70)
at com.mapfit.flow.main.Scratch.main(Scratch.java:35)
Caused by: org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply$mcV$sp(JobManager.scala:910)
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply(JobManager.scala:853)
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply(JobManager.scala:853)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: org.apache.beam.sdk.util.UserCodeException: org.apache.flink.runtime.operators.chaining.ExceptionInChainedStubException
at org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:36)
at org.apache.beam.sdk.transforms.MapElements$1$auxiliary$PCieS8xh.invokeProcessElement(Unknown Source)
at org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:197)
at org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:158)
at org.apache.beam.runners.flink.metrics.DoFnRunnerWithMetricsUpdate.processElement(DoFnRunnerWithMetricsUpdate.java:65)
at org.apache.beam.runners.flink.translation.functions.FlinkDoFnFunction.mapPartition(FlinkDoFnFunction.java:118)
at org.apache.flink.runtime.operators.MapPartitionDriver.run(MapPartitionDriver.java:103)
at org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:490)
at org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:355)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:665)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.flink.runtime.operators.chaining.ExceptionInChainedStubException
at org.apache.flink.runtime.operators.chaining.ChainedFlatMapDriver.collect(ChainedFlatMapDriver.java:82)
at org.apache.flink.runtime.operators.util.metrics.CountingCollector.collect(CountingCollector.java:35)
at org.apache.beam.runners.flink.translation.functions.FlinkDoFnFunction$MultiDoFnOutputManager.output(FlinkDoFnFunction.java:165)
at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnContext.outputWindowedValue(SimpleDoFnRunner.java:355)
at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:629)
at org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:122)
请注意完全没有与我编写的代码相关的任何内容（除了我对 pipeline.run() 的调用）。
我下载了每个链接 jar 的源代码，然后我进入了ChainedFlatMapDriver，它在第 82 行引发了异常，最终查看了由 Java 对象序列化调用生成的 EOFException（我的值使用默认编码器）。我以为我想要一些东西，但似乎 EOFException 的原因在 SimpleCollectingOutputView 第 79 行，它被抛出了很多，并且经常被吞下，这似乎是 Flink 的例行执行。
任何知道如何让 Flink 披露失败信息的人的指点？
调试后发现更多信息：
Just found more info after walking through more Flink code in the debugger: java.lang.InterruptedException
at java.lang.Object.wait(Native Method)
at org.apache.flink.runtime.io.network.buffer.LocalBufferPool.requestBuffer(LocalBufferPool.java:168)
at org.apache.flink.runtime.io.network.buffer.LocalBufferPool.requestBufferBlocking(LocalBufferPool.java:138)
at org.apache.flink.runtime.io.network.api.writer.RecordWriter.sendToTarget(RecordWriter.java:131)
at org.apache.flink.runtime.io.network.api.writer.RecordWriter.emit(RecordWriter.java:88)
at org.apache.flink.runtime.operators.shipping.OutputCollector.collect(OutputCollector.java:65)
at org.apache.flink.runtime.operators.util.metrics.CountingCollector.collect(CountingCollector.java:35)
at org.apache.beam.runners.flink.translation.functions.FlinkMultiOutputPruningFunction.flatMap(FlinkMultiOutputPruningFunction.java:46)
at org.apache.beam.runners.flink.translation.functions.FlinkMultiOutputPruningFunction.flatMap(FlinkMultiOutputPruningFunction.java:30)
at org.apache.flink.runtime.operators.chaining.ChainedFlatMapDriver.collect(ChainedFlatMapDriver.java:80)
at org.apache.flink.runtime.operators.util.metrics.CountingCollector.collect(CountingCollector.java:35)
at org.apache.beam.runners.flink.translation.functions.FlinkDoFnFunction$MultiDoFnOutputManager.output(FlinkDoFnFunction.java:165)
at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnContext.outputWindowedValue(SimpleDoFnRunner.java:355)
at org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:629)
at org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:122)
at org.apache.beam.sdk.transforms.MapElements$1$auxiliary$vuuNRtio.invokeProcessElement(Unknown Source)
at org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:197)
at org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:158)
at org.apache.beam.runners.flink.metrics.DoFnRunnerWithMetricsUpdate.processElement(DoFnRunnerWithMetricsUpdate.java:65)
at org.apache.beam.runners.flink.translation.functions.FlinkDoFnFunction.mapPartition(FlinkDoFnFunction.java:118)
at org.apache.flink.runtime.operators.MapPartitionDriver.run(MapPartitionDriver.java:103)
at org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:490)
at org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:355)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:665)
at java.lang.Thread.run(Thread.java:745)
【问题讨论】：