问题描述
我们正在尝试做什么:我们正在评估 Flink 以使用 DataStream API in BATCH
mode 执行批处理。
重现问题的最小应用:
public class FlinkS3ProcessingDemoApplication {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setRuntimeMode(RuntimeExecutionMode.BATCH);
DataStreamSource<String> source = env.readTextFile("file:///Users/user1/any-text-file.txt");
source.sinkTo(FileSink.forRowFormat(new Path("file:///Users/artvolk/output/"),new SimpleStringEncoder<String>("UTF-8")).build());
env.execute("Test Flink application");
}
}
Flink 版本:1.12.2 或 1.13.0
预期结果:/Users/user1/output/
文件夹中的“最终”文件。
根据FileSink
documentation:
鉴于 Flink sinks 和 UDF 通常不区分正常作业终止(例如有限输入流)和由于失败而终止,因此在作业正常终止时,最后一个正在进行的文件将不会转换到“完成”状态。
BATCH
模式的具体说明:
待处理的文件被提交,即在整个输入被处理后转换到 Finished 状态。
实际结果:
.
└── 2021-07-13--10
├── .part-707a8590-04cb-4c2d-97b2-5652697d9c76-0.inprogress.7e99df6f-703d-44b3-875a-283e12b31c8e
├── .part-a82bcabd-065d-4263-bee0-72f8673f3fd3-0.inprogress.65067b75-ef6c-4185-ae87-fe59de95c86a
├── .part-c7c36fd5-fb31-4d55-b783-5373ce69e216-0.inprogress.3e953235-09f1-487b-8229-2cdfa0e2daf4
└── .part-e66b004a-271f-4aae-9604-e035b2c2cfe3-0.inprogress.add8b0d9-aa89-491e-9a9d-f07b73ab8256
以及以下例外情况:
Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: Job execution Failed.
at org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:144)
at org.apache.flink.runtime.minicluster.MiniClusterJobClient.lambda$getJobExecutionResult$2(MiniClusterJobClient.java:117)
at java.util.concurrent.CompletableFuture.uniapply(CompletableFuture.java:616)
at java.util.concurrent.CompletableFuture$uniapply.tryFire(CompletableFuture.java:591)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
at org.apache.flink.runtime.rpc.akka.AkkaInvocationHandler.lambda$invokeRpc$0(AkkaInvocationHandler.java:237)
at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
at org.apache.flink.runtime.concurrent.FutureUtils$1.onComplete(FutureUtils.java:1046)
at akka.dispatch.OnComplete.internal(Future.scala:264)
at akka.dispatch.OnComplete.internal(Future.scala:261)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:191)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:188)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:36)
at org.apache.flink.runtime.concurrent.Executors$DirectExecutionContext.execute(Executors.java:73)
at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:44)
at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:252)
at akka.pattern.PromiseActorRef.$bang(AskSupport.scala:572)
at akka.pattern.PipetoSupport$PipeableFuture$$anonfun$pipeto$1.applyOrElse(PipetoSupport.scala:22)
at akka.pattern.PipetoSupport$PipeableFuture$$anonfun$pipeto$1.applyOrElse(PipetoSupport.scala:21)
at scala.concurrent.Future$$anonfun$andThen$1.apply(Future.scala:436)
at scala.concurrent.Future$$anonfun$andThen$1.apply(Future.scala:435)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:36)
at akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:55)
at akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:91)
at akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply(BatchingExecutor.scala:91)
at akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply(BatchingExecutor.scala:91)
at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
at akka.dispatch.BatchingExecutor$BlockableBatch.run(BatchingExecutor.scala:90)
at akka.dispatch.TaskInvocation.run(Abstractdispatcher.scala:40)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(ForkJoinExecutorConfigurator.scala:44)
at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: org.apache.flink.runtime.JobException: Recovery is suppressed by norestartBackoffTimeStrategy
at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:118)
at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:80)
at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:233)
at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:224)
at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:215)
at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:669)
at org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:89)
at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:447)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:305)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcmessage(AkkaRpcActor.java:212)
at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcmessage(FencedAkkaRpcActor.java:77)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:158)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:170)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
at akka.actor.Actor$class.aroundReceive(Actor.scala:517)
at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592)
at akka.actor.ActorCell.invoke(ActorCell.scala:561)
at akka.dispatch.MailBox.processMailBox(MailBox.scala:258)
at akka.dispatch.MailBox.run(MailBox.scala:225)
at akka.dispatch.MailBox.exec(MailBox.scala:235)
... 4 more
Caused by: java.nio.channels.ClosedChannelException
at sun.nio.ch.FileChannelImpl.ensureOpen(FileChannelImpl.java:110)
at sun.nio.ch.FileChannelImpl.position(FileChannelImpl.java:253)
at org.apache.flink.core.fs.local.LocalRecoverableFsDataOutputStream.getPos(LocalRecoverableFsDataOutputStream.java:103)
at org.apache.flink.streaming.api.functions.sink.filesystem.OutputStreamBasedPartFileWriter.getSize(OutputStreamBasedPartFileWriter.java:74)
at org.apache.flink.streaming.api.functions.sink.filesystem.rollingpolicies.DefaultRollingPolicy.shouldRollOnCheckpoint(DefaultRollingPolicy.java:71)
at org.apache.flink.connector.file.sink.writer.FileWriterBucket.prepareCommit(FileWriterBucket.java:196)
at org.apache.flink.connector.file.sink.writer.FileWriter.prepareCommit(FileWriter.java:200)
at org.apache.flink.streaming.runtime.operators.sink.AbstractSinkWriterOperator.endInput(AbstractSinkWriterOperator.java:97)
at org.apache.flink.streaming.runtime.tasks.StreamOperatorWrapper.endOperatorInput(StreamOperatorWrapper.java:91)
at org.apache.flink.streaming.runtime.tasks.StreamOperatorWrapper.lambda$close$0(StreamOperatorWrapper.java:128)
at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.runThrowing(StreamTaskActionExecutor.java:50)
at org.apache.flink.streaming.runtime.tasks.StreamOperatorWrapper.close(StreamOperatorWrapper.java:128)
at org.apache.flink.streaming.runtime.tasks.StreamOperatorWrapper.close(StreamOperatorWrapper.java:135)
at org.apache.flink.streaming.runtime.tasks.OperatorChain.cloSEOperators(OperatorChain.java:439)
at org.apache.flink.streaming.runtime.tasks.StreamTask.afterInvoke(StreamTask.java:627)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:589)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:755)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:570)
at java.lang.Thread.run(Thread.java:748)
我们想知道的:是否可以在批处理模式下结合 FileSink
或 StreamingFileSink
使用 Flink。
提前致谢!
解决方法
在 FLIP-27 中重新设计的源接口为 DataStream API 中的 BATCH 执行模式提供支持。为了让 FileSink
在以 BATCH 模式运行时正确地将 PENDING 文件转换为 FINISHED,您需要使用实现 FLIP-27 的源,例如 FileSource
(而不是 {{1} }):https://ci.apache.org/projects/flink/flink-docs-release-1.13/api/java/org/apache/flink/connector/file/src/FileSource.html。
正如您所发现的那样:
readTextFile