首先说明这个错误的前提，我没有自己在虚拟机上搭建，因为华为送了服务器，我就直接在它的服务器上搭建了docker，弄了三个容器装了kafka，直接使用docker-compose搭建集群
映射的端口就是这样子，但是呢，在IDEA连接kafka集群的时候
首先连接IP:5000，5002，5004
再连接返回的host.name =kafka1,kafka2，kafka3
最后继续连接advertised.host.name=kafka1，kafka2，kafka3
这样的情况，如果是普通服务器还好，直接在本地hosts添加主机IP映射即可
但是这个容器就添加不了了，容器的IP地址是内网设定的，我们本地访问ip肯定访问不到了。
20/01/16 22:11:04 INFO AppInfoParser: Kafka version: 2.4.0
20/01/16 22:11:04 INFO AppInfoParser: Kafka commitId: 77a89fcf8d7fa018
20/01/16 22:11:04 INFO AppInfoParser: Kafka startTimeMs: 1579183864167
20/01/16 22:11:04 INFO KafkaConsumer: [Consumer clientId=consumer-groupid1-1, groupId=groupid1] Subscribed to topic(s): test, topicongbo
20/01/16 22:11:04 INFO Metadata: [Consumer clientId=consumer-groupid1-1, groupId=groupid1] Cluster ID: Kkwgy0gkSkmGAlsC_5cz9A
20/01/16 22:11:04 INFO AbstractCoordinator: [Consumer clientId=consumer-groupid1-1, groupId=groupid1] Discovered group coordinator kafka3:9092 (id: 2147483644 rack: null)
20/01/16 22:11:06 WARN NetworkClient: [Consumer clientId=consumer-groupid1-1, groupId=groupid1] Error connecting to node kafka3:9092 (id: 2147483644 rack: null)
java.net.UnknownHostException: kafka3
at java.net.Inet6AddressImpl.lookupAllHostAddr(Native Method)
at java.net.InetAddress$2.lookupAllHostAddr(InetAddress.java:929)
at java.net.InetAddress.getAddressesFromNameService(InetAddress.java:1324)
at java.net.InetAddress.getAllByName0(InetAddress.java:1277)
at java.net.InetAddress.getAllByName(InetAddress.java:1193)
at java.net.InetAddress.getAllByName(InetAddress.java:1127)
at org.apache.kafka.clients.ClientUtils.resolve(ClientUtils.java:104)
at org.apache.kafka.clients.ClusterConnectionStates$NodeConnectionState.currentAddress(ClusterConnectionStates.java:403)
at org.apache.kafka.clients.ClusterConnectionStates$NodeConnectionState.access$200(ClusterConnectionStates.java:363)
at org.apache.kafka.clients.ClusterConnectionStates.currentAddress(ClusterConnectionStates.java:151)
at org.apache.kafka.clients.NetworkClient.initiateConnect(NetworkClient.java:955)
at org.apache.kafka.clients.NetworkClient.ready(NetworkClient.java:289)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.tryConnect(ConsumerNetworkClient.java:572)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator$FindCoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:757)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator$FindCoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:737)
at org.apache.kafka.clients.consumer.internals.RequestFuture$1.onSuccess(RequestFuture.java:204)
at org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:167)
at org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:127)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler.fireCompletion(ConsumerNetworkClient.java:599)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.firePendingCompletedRequests(ConsumerNetworkClient.java:409)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:294)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:233)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:212)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureCoordinatorReady(AbstractCoordinator.java:230)
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.poll(ConsumerCoordinator.java:444)
at org.apache.kafka.clients.consumer.KafkaConsumer.updateAssignmentMetadataIfNeeded(KafkaConsumer.java:1267)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1235)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1168)
at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.paranoidPoll(DirectKafkaInputDStream.scala:172)
at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:260)
at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7(DStreamGraph.scala:54)
at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7$adapted(DStreamGraph.scala:54)
at scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach(ParArray.scala:145)
at scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:974)
at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67)
at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56)
at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50)
at scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:971)
at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:153)
at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149)
at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440)
at java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189)
at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:157)
那么这个错误怎么解决的呢，而且华为的安全组我没有权限修改，只能5000-5010的端口对外开方
你好，解决了吗，我也是docker搭建的kafka遇到了这个问题，导致漏消费