Flume和Kafka接收到数据后等待时间过长是什么原因呢？

Question

以下是我的flume的conf文件配置

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agent1.sources=avro-source agent1.channels=logger-channel agent1.sinks=kafka-sink   #define source #agent1.sources.avro-source.type=avro agent1.sources.avro-source.type=netcat agent1.sources.avro-source.bind=0.0.0.0 agent1.sources.avro-source.port=41414   #define channel agent1.channels.logger-channel.type=memory   #define sink agent1.sinks.kafka-sink.type=org.apache.flume.sink.kafka.KafkaSink agent1.sinks.kafka-sink.topic = access-topic-prod agent1.sinks.kafka-sink.brokerList = 192.168.189.142:9092 agent1.sinks.kafka-sink.requiredAcks = 1 agent1.sinks.kafka-sink.batchSize = 20   agent1.sources.avro-source.channels=logger-channel agent1.sinks.kafka-sink.channel=logger-channel

我在运行StreamingApp这个类的时候，通过网络TCP端口的方式向41414端口不断地传您logGenerator类产生的日志

但是flume接收到日志以后貌似非常非常久以后才向Kafka发送数据（发送了一两次以后，第三次由于等待时间过长直接就不发送了！）

请问这是什么原因造成的呢？

除此之外，批量处理不是一次性处理一大批数据吗？为什么我把一堆同样格式并且回过行的数据一起穿进来的时候为什么会报错（以下是我通过telnet传的批量数据）

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1610413639729 6000 222.24.223.48 6 69 user12 5678 1.1.3 Android 1610413639729 6000 222.24.223.48 6 69 user13 5678 1.1.3 Android 1610413639729 6000 222.24.223.48 6 69 user14 5678 1.1.3 Android 1610413639729 6000 222.24.223.48 6 69 user15 5678 1.1.3 Android 1610413639729 6000 222.24.223.48 6 69 user16 5678 1.1.3 Android 1610413639729 6000 222.24.223.48 6 69 user17 5678 1.1.3 Android 1610413639729 6000 222.24.223.48 6 69 user18 5678 1.1.3 Android

streaming报错控制台：

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Connected to the target VM, address: '127.0.0.1:50939', transport: 'socket' ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0) java.lang.NumberFormatException: For input string: "1610413639729 6000 222.24.223.48 6 69 user12 5678 1.1.3 Android"     at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)     at java.lang.Long.parseLong(Long.java:589)     at java.lang.Long.parseLong(Long.java:631)     at scala.collection.immutable.StringLike.toLong(StringLike.scala:309)     at scala.collection.immutable.StringLike.toLong$(StringLike.scala:309)     at scala.collection.immutable.StringOps.toLong(StringOps.scala:33)     at com.imooc.bigdata.project.utils.DateUtils$.parseToHour(DateUtils.scala:12)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$1(StreamingApp.scala:55)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:194)     at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)     at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)     at org.apache.spark.scheduler.Task.run(Task.scala:127)     at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)     at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)     at java.lang.Thread.run(Thread.java:745) ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job ERROR JobScheduler: Error running job streaming job 1610415110000 ms.0 org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, MSI, executor driver): java.lang.NumberFormatException: For input string: "1610413639729 6000 222.24.223.48 6 69 user12 5678 1.1.3 Android"     at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)     at java.lang.Long.parseLong(Long.java:589)     at java.lang.Long.parseLong(Long.java:631)     at scala.collection.immutable.StringLike.toLong(StringLike.scala:309)     at scala.collection.immutable.StringLike.toLong$(StringLike.scala:309)     at scala.collection.immutable.StringOps.toLong(StringOps.scala:33)     at com.imooc.bigdata.project.utils.DateUtils$.parseToHour(DateUtils.scala:12)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$1(StreamingApp.scala:55)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:194)     at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)     at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)     at org.apache.spark.scheduler.Task.run(Task.scala:127)     at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)     at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)     at java.lang.Thread.run(Thread.java:745)   Driver stacktrace:     at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023)     at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972)     at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971)     at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)     at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)     at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971)     at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950)     at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950)     at scala.Option.foreach(Option.scala:407)     at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141)     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)     at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2114)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2133)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2158)     at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$1(RDD.scala:994)     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)     at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)     at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:992)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$4(StreamingApp.scala:75)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$4$adapted(StreamingApp.scala:68)     at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2(DStream.scala:629)     at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2$adapted(DStream.scala:629)     at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$2(ForEachDStream.scala:51)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:417)     at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$1(ForEachDStream.scala:51)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at scala.util.Try$.apply(Try.scala:213)     at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)     at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.$anonfun$run$1(JobScheduler.scala:256)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)     at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256)     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:745) Caused by: java.lang.NumberFormatException: For input string: "1610413639729 6000 222.24.223.48 6 69 user12 5678 1.1.3 Android"     at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)     at java.lang.Long.parseLong(Long.java:589)     at java.lang.Long.parseLong(Long.java:631)     at scala.collection.immutable.StringLike.toLong(StringLike.scala:309)     at scala.collection.immutable.StringLike.toLong$(StringLike.scala:309)     at scala.collection.immutable.StringOps.toLong(StringOps.scala:33)     at com.imooc.bigdata.project.utils.DateUtils$.parseToHour(DateUtils.scala:12)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$1(StreamingApp.scala:55)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:194)     at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)     at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)     at org.apache.spark.scheduler.Task.run(Task.scala:127)     at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)     at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)     ... 3 more Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, MSI, executor driver): java.lang.NumberFormatException: For input string: "1610413639729 6000 222.24.223.48 6 69 user12 5678 1.1.3 Android"     at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)     at java.lang.Long.parseLong(Long.java:589)     at java.lang.Long.parseLong(Long.java:631)     at scala.collection.immutable.StringLike.toLong(StringLike.scala:309)     at scala.collection.immutable.StringLike.toLong$(StringLike.scala:309)     at scala.collection.immutable.StringOps.toLong(StringOps.scala:33)     at com.imooc.bigdata.project.utils.DateUtils$.parseToHour(DateUtils.scala:12)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$1(StreamingApp.scala:55)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:194)     at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)     at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)     at org.apache.spark.scheduler.Task.run(Task.scala:127)     at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)     at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)     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:745)   Driver stacktrace:     at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023)     at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972)     at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971)     at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)     at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)     at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971)     at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950)     at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950)     at scala.Option.foreach(Option.scala:407)     at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152)     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141)     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)     at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2114)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2133)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2158)     at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$1(RDD.scala:994)     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)     at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)     at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:992)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$4(StreamingApp.scala:75)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$4$adapted(StreamingApp.scala:68)     at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2(DStream.scala:629)     at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2$adapted(DStream.scala:629)     at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$2(ForEachDStream.scala:51)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:417)     at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$1(ForEachDStream.scala:51)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at scala.util.Try$.apply(Try.scala:213)     at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)     at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.$anonfun$run$1(JobScheduler.scala:256)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)     at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256)     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)     at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.NumberFormatException: For input string: "1610413639729 6000 222.24.223.48 6 69 user12 5678 1.1.3 Android"     at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)     at java.lang.Long.parseLong(Long.java:589)     at java.lang.Long.parseLong(Long.java:631)     at scala.collection.immutable.StringLike.toLong(StringLike.scala:309)     at scala.collection.immutable.StringLike.toLong$(StringLike.scala:309)     at scala.collection.immutable.StringOps.toLong(StringOps.scala:33)     at com.imooc.bigdata.project.utils.DateUtils$.parseToHour(DateUtils.scala:12)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$1(StreamingApp.scala:55)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)     at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:194)     at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)     at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)     at org.apache.spark.scheduler.Task.run(Task.scala:127)     at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)     at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)     ... 3 more ERROR Inbox: Ignoring error java.util.concurrent.RejectedExecutionException: Task org.apache.spark.executor.Executor$TaskRunner@63160b6d rejected from java.util.concurrent.ThreadPoolExecutor@63a9d3ab[Terminated, pool size = 0, active threads = 0, queued tasks = 0, completed tasks = 1]     at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2047)     at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:823)     at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1369)     at org.apache.spark.executor.Executor.launchTask(Executor.scala:228)     at org.apache.spark.scheduler.local.LocalEndpoint.$anonfun$reviveOffers$1(LocalSchedulerBackend.scala:93)     at org.apache.spark.scheduler.local.LocalEndpoint.$anonfun$reviveOffers$1$adapted(LocalSchedulerBackend.scala:91)     at scala.collection.Iterator.foreach(Iterator.scala:941)     at scala.collection.Iterator.foreach$(Iterator.scala:941)     at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)     at scala.collection.IterableLike.foreach(IterableLike.scala:74)     at scala.collection.IterableLike.foreach$(IterableLike.scala:73)     at scala.collection.AbstractIterable.foreach(Iterable.scala:56)     at org.apache.spark.scheduler.local.LocalEndpoint.reviveOffers(LocalSchedulerBackend.scala:91)     at org.apache.spark.scheduler.local.LocalEndpoint$$anonfun$receive$1.applyOrElse(LocalSchedulerBackend.scala:68)     at org.apache.spark.rpc.netty.Inbox.$anonfun$process$1(Inbox.scala:115)     at org.apache.spark.rpc.netty.Inbox.safelyCall(Inbox.scala:203)     at org.apache.spark.rpc.netty.Inbox.process(Inbox.scala:100)     at org.apache.spark.rpc.netty.MessageLoop.org$apache$spark$rpc$netty$MessageLoop$$receiveLoop(MessageLoop.scala:75)     at org.apache.spark.rpc.netty.MessageLoop$$anon$1.run(MessageLoop.scala:41)     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)     at java.lang.Thread.run(Thread.java:745) Exception in thread "streaming-job-executor-0" java.lang.Error: java.lang.InterruptedException     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1148)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)     at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.InterruptedException     at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:998)     at java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1304)     at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:242)     at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:258)     at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:187)     at org.apache.spark.util.ThreadUtils$.awaitReady(ThreadUtils.scala:335)     at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:743)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2114)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2133)     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2158)     at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$1(RDD.scala:994)     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)     at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)     at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:992)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$9(StreamingApp.scala:101)     at com.imooc.bigdata.project.stream.StreamingApp$.$anonfun$main$9$adapted(StreamingApp.scala:100)     at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2(DStream.scala:629)     at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2$adapted(DStream.scala:629)     at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$2(ForEachDStream.scala:51)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:417)     at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$1(ForEachDStream.scala:51)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at scala.util.Try$.apply(Try.scala:213)     at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)     at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.$anonfun$run$1(JobScheduler.scala:256)     at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)     at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)     at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256)     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)     ... 2 more Disconnected from the target VM, address: '127.0.0.1:50939', transport: 'socket'   Process finished with exit code 1

Answer 1

Michael_PK 2021-01-13 12:12:14

第一个问题，flume到kafka你的ack设置的要确认，这个估计和你机器当前的网络或者负载有一定的关系了
第二个问题，java.lang.NumberFormatException: For input string: "1610413639729 6000 222.24.223.48 6 69 user12 5678 1.1.3 Android"。你的代码在处理的时候肯定是有一个你需要的是数值类型的，但是清晰不彻底是字符串，所以字符串转数值类型是发生了异常。这里可以使用trycatch抓住后再进行处理

• 提问者 BillyWebber #1

  我把flume和kafka机器都放在同一台虚拟机里面，按理来讲速度应该很快才对，在哪里看ACK确认机制呢？如果我关了ACK确认机制会有什么影响呢？应该怎么提速呢？

• Michael_PK 回复 提问者 BillyWebber #2

  ack不确认是否丢失，会快些。你都配置里面不是看到有ack的配置么。你本机是没错，也不能保证说你机器的吞吐就一定跟的上的。所以对于单机的建议能把功能跑通就可以。想多机器测试直接找个云厂商花点钱开个按量收费的。