我正在尝试通过使用远程Kafka群集上某个主题的数据来检查kafka使用者。使用时出现以下错误kafka-console-consumer.sh：
ERROR Error processing message, terminating consumer process: (kafka.tools.ConsoleConsumer$)
java.lang.IllegalStateException: No entry found for connection 2147475658
at org.apache.kafka.clients.ClusterConnectionStates.nodeState(ClusterConnectionStates.java:330)
at org.apache.kafka.clients.ClusterConnectionStates.disconnected(ClusterConnectionStates.java:134)
at org.apache.kafka.clients.NetworkClient.initiateConnect(NetworkClient.java:885)
at org.apache.kafka.clients.NetworkClient.ready(NetworkClient.java:276)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.tryConnect(ConsumerNetworkClient.java:548)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator$FindCoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:655)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator$FindCoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:635)
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:575)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.firePendingCompletedRequests(ConsumerNetworkClient.java:389)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:297)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:236)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:215)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureCoordinatorReady(AbstractCoordinator.java:231)
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.poll(ConsumerCoordinator.java:316)
at org.apache.kafka.clients.consumer.KafkaConsumer.updateAssignmentMetadataIfNeeded(KafkaConsumer.java:1214)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1179)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1164)
at kafka.tools.ConsoleConsumer$ConsumerWrapper.receive(ConsoleConsumer.scala:436)
at kafka.tools.ConsoleConsumer$.process(ConsoleConsumer.scala:104)
at kafka.tools.ConsoleConsumer$.run(ConsoleConsumer.scala:76)
at kafka.tools.ConsoleConsumer$.main(ConsoleConsumer.scala:54)
at kafka.tools.ConsoleConsumer.main(ConsoleConsumer.scala)
Processed a total of 0 messages
这是我使用的命令：
./bin/kafka-console-consumer.sh --bootstrap-server SSL://{IP}:{PORT},SSL://{IP}:{PORT},SSL://{IP}:{PORT} --consumer.config ./config/consumer.properties …我使用Mllib在Spark上运行了一个python代码.它适用于小型数据集,但在大型数据集的两次迭代后,我收到以下错误:
ERROR TaskSchedulerImpl: Exception in statusUpdate
java.util.concurrent.RejectedExecutionException: Task org.apache.spark.scheduler.TaskResultGetter$$anon$2@15b59543 rejected from java.util.concurrent.ThreadPoolExecutor@22427929[Terminated, pool size = 0, active threads = 0, queued tasks = 0, completed tasks = 2701]
at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2050)
at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:821)
at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1372)
at org.apache.spark.scheduler.TaskResultGetter.enqueueSuccessfulTask(TaskResultGetter.scala:49)
at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$liftedTree2$1$1.apply(TaskSchedulerImpl.scala:327)
at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$liftedTree2$1$1.apply(TaskSchedulerImpl.scala:324)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.TaskSchedulerImpl.liftedTree2$1(TaskSchedulerImpl.scala:324)
at org.apache.spark.scheduler.TaskSchedulerImpl.statusUpdate(TaskSchedulerImpl.scala:309)
at org.apache.spark.scheduler.local.LocalEndpoint$$anonfun$receive$1.applyOrElse(LocalBackend.scala:61)
at org.apache.spark.rpc.akka.AkkaRpcEnv.org$apache$spark$rpc$akka$AkkaRpcEnv$$processMessage(AkkaRpcEnv.scala:178)
at org.apache.spark.rpc.akka.AkkaRpcEnv$$anonfun$actorRef$lzycompute$1$1$$anon$1$$anonfun$receiveWithLogging$1$$anonfun$applyOrElse$4.apply$mcV$sp(AkkaRpcEnv.scala:127)
at org.apache.spark.rpc.akka.AkkaRpcEnv.org$apache$spark$rpc$akka$AkkaRpcEnv$$safelyCall(AkkaRpcEnv.scala:198)
at org.apache.spark.rpc.akka.AkkaRpcEnv$$anonfun$actorRef$lzycompute$1$1$$anon$1$$anonfun$receiveWithLogging$1.applyOrElse(AkkaRpcEnv.scala:126)
at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
at org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:59)
at org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:42)
at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
at org.apache.spark.util.ActorLogReceive$$anon$1.applyOrElse(ActorLogReceive.scala:42)
at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
at org.apache.spark.rpc.akka.AkkaRpcEnv$$anonfun$actorRef$lzycompute$1$1$$anon$1.aroundReceive(AkkaRpcEnv.scala:93)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
at akka.actor.ActorCell.invoke(ActorCell.scala:487)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) …我想知道内存中存储SQL Server数据类型.
moneySQL Server中的数据类型如何存储在内存中？我知道它money存储在8个字节中并smallmoney存储在4个字节中.但我不知道怎么办？
例如,当您有123400.93的钱时,它如何以8个字节存储？
我有关于decimal和DATE数据类型的相同问题.
特别是DATE,格式为YYYY-MM-DD,但如何以3个字节存储？它是否按照此处所述进行存储:http://dev.mysql.com/doc/internals/en/date-and-time-data-type-representation.html
或存储特定日期的天数？
您知道从 Kafka 中删除所有可用 ACL 的命令吗？如果您向 Kafka 添加了文字 ACL，当您想要删除它时，您不能使用前缀或 ...（它只是与文字 ACL 不匹配）。
谢谢。
我可以直接从 Prometheus UI 中搜索查询，并且工作正常：
K_MacInfo{macAddr="B0:11:12:FD:D1:A8"} offset 5m.
但是，当我尝试使用curl命令直接在服务器中运行它时，我发现语法错误并收到错误消息。
curl http://localhost:9090/api/v1/queryquery=K_MacInfo{macAddr="B0:11:12:FD:D1:A8"}
也不知道如何在这里添加偏移部分。你能指导我理解我在这里做错了什么吗？