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我正在使用 Scala 和 Flink 1.0-SNAPSHOT 在 DataSet 上执行 leftOuterJoin，但出现以下异常：

    11:54:15,921 INFO  org.apache.flink.runtime.taskmanager.Task - CHAIN DataSource (at com.mycompany.FlinkTest$.main(FlinkTest.scala:99) (org.apache.flink.api.java.io.CollectionInputFormat)) -> Map (Map at select('date as 'date,'dsCode as 'dsCode,'datatype as 'datatype,'quote as 'quote,'name as 'name)) (1/1) switched to FAILED with exception.
Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
    at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$5.apply$mcV$sp(JobManager.scala:563)
    at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$5.apply(JobManager.scala:509)
    at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$5.apply(JobManager.scala:509)
    at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
    at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
    at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
    at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:401)
    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$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: java.lang.Exception: Call to registerInputOutput() of invokable failed
    at org.apache.flink.runtime.taskmanager.Task.run(Task.java:529)
    at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.IllegalStateException: unread block data
    at java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2431)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1383)
    at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
    at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
    at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
    at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
    at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
    at org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:294)
    at org.apache.flink.util.InstantiationUtil.readObjectFromConfig(InstantiationUtil.java:255)
    at org.apache.flink.runtime.operators.util.TaskConfig.getStubWrapper(TaskConfig.java:282)
    at org.apache.flink.runtime.operators.DataSourceTask.initInputFormat(DataSourceTask.java:241)
    at org.apache.flink.runtime.operators.DataSourceTask.registerInputOutput(DataSourceTask.java:81)
    at org.apache.flink.runtime.taskmanager.Task.run(Task.java:526)

我使用一个简单的 Scala 案例类作为 DataSet 的类型：

case class RawValue(date: String, dsCode: String, datatype: String, quote: Double, name: String)

我使用以下方法生成案例类实例：

def getRawValuesFromZipFile(fileName: String) : Array[RawValue]

我初始化环境并通过以下方式创建 DataSet[RawValue]：

val env = ExecutionEnvironment.createLocalEnvironment(4)
val rawValues = env.fromCollection(getRawValuesFromZipFile("filename.zip"))
rawValues.print

我怀疑是序列化问题导致了错误，我正在使用 Scala 2.10.5 和 Java 7 系统库来编译项目。我正在使用 Eclipse，该项目是由示例项目生成脚本生成的。

任何有关解决问题的帮助或提示将不胜感激:-) 谢谢，丹尼尔

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1 回答 1

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该env.fromCollection()调用可能并不真正适合您的用例。如果数据变得很大，它会中断，因为数据是随作业一起提供的。数据不会在工作节点上并行读取。

你可以看看这个：https ://ci.apache.org/projects/flink/flink-docs-master/apis/programming_guide.html#read-compressed-files看看它是否适合你的情况。它只支持 gzip，但也许你可以用那种格式压缩你的数据。

于 2015-10-30T13:57:16.673 回答