Question

也许同样的事情发生在这里：ERROR backtype.storm.util - Async loop died! java.nio.BufferUnderflowException: null但我要添加一个完整的堆栈跟踪和一些更多的上下文。

风暴版 - 9.3
storm-kafka版本 - 9.3
kafka版本 - 0.8.2-beta

我也在使用三叉戟，虽然我认为这个错误发生在风暴等级。

堆栈跟踪：

java.lang.RuntimeException: java.nio.BufferUnderflowException  
  at backtype.storm.utils.DisruptorQueue.consumeBatchToCursor(DisruptorQueue.java:128) ~[storm-core-   0.9.3.jar:0.9.3]
  at backtype.storm.utils.DisruptorQueue.consumeBatchWhenAvailable(DisruptorQueue.java:99) ~[storm-core-0.9.3.jar:0.9.3]
  at backtype.storm.disruptor$consume_batch_when_available.invoke(disruptor.clj:80) ~[storm-core-0.9.3.jar:0.9.3]
  at backtype.storm.daemon.executor$fn__3441$fn__3453$fn__3500.invoke(executor.clj:748) ~[storm-core-0.9.3.jar:0.9.3]
  at backtype.storm.util$async_loop$fn__464.invoke(util.clj:463) ~[storm-core-0.9.3.jar:0.9.3]
  at clojure.lang.AFn.run(AFn.java:24) [clojure-1.5.1.jar:na]
  at java.lang.Thread.run(Thread.java:745) [na:1.7.0_71]  
Caused by: java.nio.BufferUnderflowException: null
  at java.nio.Buffer.nextGetIndex(Buffer.java:498) ~[na:1.7.0_71]
  at java.nio.HeapByteBuffer.getInt(HeapByteBuffer.java:355) ~[na:1.7.0_71]
  at kafka.api.OffsetResponse$.readFrom(OffsetResponse.scala:28) ~[kafka_2.10-0.8.2-beta.jar:na]
  at kafka.consumer.SimpleConsumer.getOffsetsBefore(SimpleConsumer.scala:128) ~[kafka_2.10-0.8.2-beta.jar:na]
  at kafka.javaapi.consumer.SimpleConsumer.getOffsetsBefore(SimpleConsumer.scala:79) ~[kafka_2.10-0.8.2-beta.jar:na]
  at storm.kafka.KafkaUtils.getOffset(KafkaUtils.java:77) ~[storm-kafka-0.9.3.jar:0.9.3]
  at storm.kafka.KafkaUtils.getOffset(KafkaUtils.java:67) ~[storm-kafka-0.9.3.jar:0.9.3]
  at storm.kafka.trident.TridentKafkaEmitter.doEmitNewPartitionBatch(TridentKafkaEmitter.java:111) ~[storm-kafka-0.9.3.jar:0.9.3]
  at storm.kafka.trident.TridentKafkaEmitter.failFastEmitNewPartitionBatch(TridentKafkaEmitter.java:72) ~[storm-kafka-0.9.3.jar:0.9.3]
  at storm.kafka.trident.TridentKafkaEmitter.emitNewPartitionBatch(TridentKafkaEmitter.java:79) ~[storm-kafka-0.9.3.jar:0.9.3]
  at storm.kafka.trident.TridentKafkaEmitter.access$000(TridentKafkaEmitter.java:46) ~[storm-kafka-0.9.3.jar:0.9.3]
  at storm.kafka.trident.TridentKafkaEmitter$1.emitPartitionBatch(TridentKafkaEmitter.java:204) ~[storm-kafka-0.9.3.jar:0.9.3]
  at storm.kafka.trident.TridentKafkaEmitter$1.emitPartitionBatch(TridentKafkaEmitter.java:194) ~[storm-kafka-0.9.3.jar:0.9.3]
  at storm.trident.spout.OpaquePartitionedTridentSpoutExecutor$Emitter.emitBatch(OpaquePartitionedTridentSpoutExecutor.java:127) ~[storm-core-0.9.3.jar:0.9.3]
  at storm.trident.spout.TridentSpoutExecutor.execute(TridentSpoutExecutor.java:82) ~[storm-core-0.9.3.jar:0.9.3]
  at storm.trident.topology.TridentBoltExecutor.execute(TridentBoltExecutor.java:369) ~[storm-core-0.9.3.jar:0.9.3]
  at backtype.storm.daemon.executor$fn__3441$tuple_action_fn__3443.invoke(executor.clj:633) ~[storm-core-0.9.3.jar:0.9.3]
  at backtype.storm.daemon.executor$mk_task_receiver$fn__3364.invoke(executor.clj:401) ~[storm-core-0.9.3.jar:0.9.3]
  at backtype.storm.disruptor$clojure_handler$reify__1447.onEvent(disruptor.clj:58) ~[storm-core-0.9.3.jar:0.9.3]
  at backtype.storm.utils.DisruptorQueue.consumeBatchToCursor(DisruptorQueue.java:125) ~[storm-core-0.9.3.jar:0.9.3]

Spout代码（注意我使用静态定义的分区映射，只有一个代理用于调试目的）：

Broker broker = new Broker("localhost", 9094);
GlobalPartitionInformation partitionInfo = new GlobalPartitionInformation();
partitionInfo.addPartition(0, broker);
StaticHosts hosts = new StaticHosts(partitionInfo);
TridentKafkaConfig spoutConfig = new TridentKafkaConfig(hosts, kafkaTopic);

spoutConfig.startOffsetTime = -1L;
spoutConfig.scheme = new SchemeAsMultiScheme(new StringScheme());
return new OpaqueTridentKafkaSpout(spoutConfig);

Answer 1

当破坏者队列发生拥塞时，特别是发送喷口队列时，可能会产生此异常。我建议你增加执行程序发送缓冲区大小。它可以解决这个问题。

来自风暴kafka喷口的BufferUnderflowException

1 个答案: