Apache flink apacheflink中的并行度

我可以在Flink的程序中为任务的不同部分设置不同的并行度吗？ 例如，Flink如何解释以下示例代码？ 两个自定义实践者MyPartitioner1和MyPartitioner2将输入数据划分为两个4和2分区

partitionedData1 = inputData1
  .partitionCustom(new MyPartitioner1(), 1);
env.setParallelism(4);
DataSet<Tuple2<Integer, Integer>> output1 = partitionedData1
  .mapPartition(new calculateFun());

partitionedData2 = inputData2
  .partitionCustom(new MyPartitioner2(), 2);
env.setParallelism(2);
DataSet<Tuple2<Integer, Integer>> output2 = partitionedData2
  .mapPartition(new calculateFun());

---

ExecutionEnvironment.setParallelism（）

设置整个程序的并行性，即程序的所有运算符

通过调用操作符上的

setParallelism（）

方法，可以指定每个操作符的并行度

引发

ArrayIndexOutOfBoundsException

，因为您的自定义分区程序返回无效的分区号，这可能是由于意外的并行度。自定义分区器在其

分区（K键，int numPartitions）

方法中作为参数接收接收器的实际并行性

Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
    at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:314)
    at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
    at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
    at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
    at org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:36)
    at org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:29)
    at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
    at org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:29)
    at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
    at org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:92)
    at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
    at akka.actor.ActorCell.invoke(ActorCell.scala:487)
    at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
    at akka.dispatch.Mailbox.run(Mailbox.scala:221)
    at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
    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.ArrayIndexOutOfBoundsException: 2
    at org.apache.flink.runtime.io.network.api.writer.RecordWriter.emit(RecordWriter.java:80)
    at org.apache.flink.runtime.operators.shipping.OutputCollector.collect(OutputCollector.java:65)
    at org.apache.flink.runtime.operators.NoOpDriver.run(NoOpDriver.java:92)
    at org.apache.flink.runtime.operators.RegularPactTask.run(RegularPactTask.java:496)
    at org.apache.flink.runtime.operators.RegularPactTask.invoke(RegularPactTask.java:362)
    at org.apache.flink.runtime.taskmanager.Task.run(Task.java:559)
    at java.lang.Thread.run(Unknown Source)