我有2.5版本的Hortonwork Hadoop集群堆栈，其中包括Kafka 0.10，其中我有两个运营商正在运行并正在监听PLAINTEXT://localhost:6667，但如果我将端口更改为PLAINTEXT://localhost:9092，由于公司端口限制，我无法启动之前能够使用的Spark作业（使用端口6667），收到以下错误：
16/10/19 16:30:23 INFO SimpleConsumer: Reconnect due to socket error: java.nio.channels.ClosedChannelException
Exception in thread "main" org.apache.spark.SparkException: java.nio.channels.ClosedChannelException
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$checkErrors$1.apply(KafkaCluster.scala:366)
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$checkErrors$1.apply(KafkaCluster.scala:366)
at scala.util.Either.fold(Either.scala:97)
at org.apache.spark.streaming.kafka.KafkaCluster$.checkErrors(KafkaCluster.scala:365)
at org.apache.spark.streaming.kafka.DirectKafkaInputDStream$DirectKafkaInputDStreamCheckpointData.restore(DirectKafkaInputDStream.scala:197)
at org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:515)
at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:516)
at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:516)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:516)
at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:516)
at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:516)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:516)
at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:516)
at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:516)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:516)
at org.apache.spark.streaming.DStreamGraph$$anonfun$restoreCheckpointData$2.apply(DStreamGraph.scala:151)
at org.apache.spark.streaming.DStreamGraph$$anonfun$restoreCheckpointData$2.apply(DStreamGraph.scala:151)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.streaming.DStreamGraph.restoreCheckpointData(DStreamGraph.scala:151)
at org.apache.spark.streaming.StreamingContext.<init>(StreamingContext.scala:158)
at org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:877)
at org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:877)
at scala.Option.map(Option.scala:145)
at org.apache.spark.streaming.StreamingContext$.getOrCreate(StreamingContext.scala:877)
at org.apache.spark.streaming.api.java.JavaStreamingContext$.getOrCreate(JavaStreamingContext.scala:775)
at org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(JavaStreamingContext.scala)
at com.ncr.dataplatform.Runner.main(Runner.java:48)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
16/10/19 16:30:24 INFO SparkContext: Invoking stop() from shutdown hook
在所有群集节点上，我禁用了iptables和selinux，人们可以从外部连接到Kafka新端口。
我可以从任何将运行spark作业的datanode telnet到两个端口（6667和9092）上的kafka broker，也可以telnet到我配置的端口上的Zookeeper。
知道为什么会这样吗？我无法从此错误消息中获取更多信息，而且我的想法也用完了。