1.啟動不起來

查看JobManager日誌：

WARN  org.apache.flink.runtime.webmonitor.JobManagerRetriever       - Failed to retrieve leader gateway and port.
akka.actor.ActorNotFound: Actor not found for: ActorSelection[Anchor(akka.tcp://[email protected]:6123/), Path(/user/jobmanager)]
    at akka.actor.ActorSelection$$anonfun$resolveOne$1
 
.apply(ActorSelection.scala:65)
    at akka.actor.ActorSelection$$anonfun$resolveOne$1.apply(ActorSelection.scala:63)
    at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
    at akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:55)
    at akka.dispatch.BatchingExecutor$Batch.run(BatchingExecutor.scala:
 
73)
    at akka.dispatch.ExecutionContexts$sameThreadExecutionContext$.unbatchedExecute(Future.scala:74)
    at akka.dispatch.BatchingExecutor$class.execute(BatchingExecutor.scala:120)
    at akka.dispatch.ExecutionContexts$sameThreadExecutionContext$.execute(Future.scala:73)
    at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:
 
40)
    at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
    at akka.pattern.PromiseActorRef$$anonfun$1.apply$mcV$sp(AskSupport.scala:334)
    at akka.actor.Scheduler$$anon$7.run(Scheduler.scala:117)
    at scala.concurrent.Future$InternalCallbackExecutor$.unbatchedExecute(Future.scala:599)
    at scala.concurrent.BatchingExecutor$class.execute(BatchingExecutor.scala:109)
    at scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:597)
    at akka.actor.LightArrayRevolverScheduler$TaskHolder.executeTask(Scheduler.scala:474)
    at akka.actor.LightArrayRevolverScheduler$$anon$8.executeBucket$1(Scheduler.scala:425)
    at akka.actor.LightArrayRevolverScheduler$$anon$8.nextTick(Scheduler.scala:429)
    at akka.actor.LightArrayRevolverScheduler$$anon$8.run(Scheduler.scala:381)
    at java.lang.Thread.run(Thread.java:748)

解決方案：/etc/hosts中配置的主機名都是小寫，但是在Flink配置文件（flink-config.yaml、masters、slaves）中配置的都是大寫的hostname，將flink配置文件中的hostname都改為小寫或者IP地址

2.運行一段時間退出

AsynchronousException{java.lang.Exception: Could not materialize checkpoint 4 for operator Compute By Event Time (1/12).}
    at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:970)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.Exception: Could not materialize checkpoint 4 for operator Compute By Event Time (1/12).
    ... 6 more
Caused by: java.util.concurrent.ExecutionException: java.io.IOException: Size of the state is larger than the maximum permitted memory-backed state. Size=7061809 , maxSize=5242880 . Consider using a different state backend, like the File System State backend.
    at java.util.concurrent.FutureTask.report(FutureTask.java:122)
    at java.util.concurrent.FutureTask.get(FutureTask.java:192)
    at org.apache.flink.util.FutureUtil.runIfNotDoneAndGet(FutureUtil.java:43)
    at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:897)
    ... 5 more
    Suppressed: java.lang.Exception: Could not properly cancel managed keyed state future.
        at org.apache.flink.streaming.api.operators.OperatorSnapshotResult.cancel(OperatorSnapshotResult.java:90)
        at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.cleanup(StreamTask.java:1023)
        at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:961)
        ... 5 more
    Caused by: java.util.concurrent.ExecutionException: java.io.IOException: Size of the state is larger than the maximum permitted memory-backed state. Size=7061809 , maxSize=5242880 . Consider using a different state backend, like the File System State backend.
        at java.util.concurrent.FutureTask.report(FutureTask.java:122)
        at java.util.concurrent.FutureTask.get(FutureTask.java:192)
        at org.apache.flink.util.FutureUtil.runIfNotDoneAndGet(FutureUtil.java:43)
        at org.apache.flink.runtime.state.StateUtil.discardStateFuture(StateUtil.java:85)
        at org.apache.flink.streaming.api.operators.OperatorSnapshotResult.cancel(OperatorSnapshotResult.java:88)
        ... 7 more
    Caused by: java.io.IOException: Size of the state is larger than the maximum permitted memory-backed state. Size=7061809 , maxSize=5242880 . Consider using a different state backend, like the File System State backend.
        at org.apache.flink.runtime.state.memory.MemCheckpointStreamFactory.checkSize(MemCheckpointStreamFactory.java:64)
        at org.apache.flink.runtime.state.memory.MemCheckpointStreamFactory$MemoryCheckpointOutputStream.closeAndGetBytes(MemCheckpointStreamFactory.java:144)
        at org.apache.flink.runtime.state.memory.MemCheckpointStreamFactory$MemoryCheckpointOutputStream.closeAndGetHandle(MemCheckpointStreamFactory.java:125)
        at org.apache.flink.runtime.checkpoint.AbstractAsyncSnapshotIOCallable.closeStreamAndGetStateHandle(AbstractAsyncSnapshotIOCallable.java:100)
        at org.apache.flink.runtime.state.heap.HeapKeyedStateBackend$1.performOperation(HeapKeyedStateBackend.java:351)
        at org.apache.flink.runtime.state.heap.HeapKeyedStateBackend$1.performOperation(HeapKeyedStateBackend.java:329)
        at org.apache.flink.runtime.io.async.AbstractAsyncIOCallable.call(AbstractAsyncIOCallable.java:72)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at org.apache.flink.runtime.state.heap.HeapKeyedStateBackend.snapshot(HeapKeyedStateBackend.java:372)
        at org.apache.flink.streaming.api.operators.AbstractStreamOperator.snapshotState(AbstractStreamOperator.java:397)
        at org.apache.flink.streaming.runtime.tasks.StreamTask$CheckpointingOperation.checkpointStreamOperator(StreamTask.java:1162)
        at org.apache.flink.streaming.runtime.tasks.StreamTask$CheckpointingOperation.executeCheckpointing(StreamTask.java:1094)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.checkpointState(StreamTask.java:654)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.performCheckpoint(StreamTask.java:590)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.triggerCheckpointOnBarrier(StreamTask.java:543)
        at org.apache.flink.streaming.runtime.io.BarrierBuffer.notifyCheckpoint(BarrierBuffer.java:378)
        at org.apache.flink.streaming.runtime.io.BarrierBuffer.processBarrier(BarrierBuffer.java:281)
        at org.apache.flink.streaming.runtime.io.BarrierBuffer.getNextNonBlocked(BarrierBuffer.java:183)
        at org.apache.flink.streaming.runtime.io.StreamInputProcessor.processInput(StreamInputProcessor.java:213)
        at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:69)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:263)
        at org.apache.flink.runtime.taskmanager.Task.run(Task.java:702)
        ... 1 more
    [CIRCULAR REFERENCE:java.io.IOException: Size of the state is larger than the maximum permitted memory-backed state. Size=7061809 , maxSize=5242880 . Consider using a different state backend, like the File System State backend.]

解決方案：

狀態存儲，默認是在內存中，改為存儲到HDFS中：

state.backend.fs.checkpointdir: hdfs://t-sha1-flk-01:9000/flink-checkpoints

使用Flink時遇到的坑