开发者社区 > 大数据与机器学习 > 实时计算 Flink > 正文

报No more data to read from socket的错误,谁见过这个问题麻烦指导一下

我的flink-oracle-CDC运行一段时间以后就会报No more data to read from socket的错误,谁见过这个问题麻烦指导一下image.png

展开
收起
游客6vdkhpqtie2h2 2022-09-17 10:51:21 503 0
1 条回答
写回答
取消 提交回答
  • 2022-12-08 16:34:36
    org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy
    	at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:139)
    	at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:83)
    	at org.apache.flink.runtime.scheduler.DefaultScheduler.recordTaskFailure(DefaultScheduler.java:256)
    	at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:247)
    	at org.apache.flink.runtime.scheduler.DefaultScheduler.onTaskFailed(DefaultScheduler.java:240)
    	at org.apache.flink.runtime.scheduler.SchedulerBase.onTaskExecutionStateUpdate(SchedulerBase.java:738)
    	at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:715)
    	at org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:78)
    	at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:477)
    	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
    	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
    	at java.base/java.lang.reflect.Method.invoke(Unknown Source)
    	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.lambda$handleRpcInvocation$1(AkkaRpcActor.java:309)
    	at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:83)
    	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:307)
    	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:222)
    	at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:84)
    	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:168)
    	at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:24)
    	at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:20)
    	at scala.PartialFunction.applyOrElse(PartialFunction.scala:123)
    	at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122)
    	at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:20)
    	at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
    	at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
    	at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
    	at akka.actor.Actor.aroundReceive(Actor.scala:537)
    	at akka.actor.Actor.aroundReceive$(Actor.scala:535)
    	at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:220)
    	at akka.actor.ActorCell.receiveMessage(ActorCell.scala:580)
    	at akka.actor.ActorCell.invoke(ActorCell.scala:548)
    	at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:270)
    	at akka.dispatch.Mailbox.run(Mailbox.scala:231)
    	at akka.dispatch.Mailbox.exec(Mailbox.scala:243)
    	at java.base/java.util.concurrent.ForkJoinTask.doExec(Unknown Source)
    	at java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(Unknown Source)
    	at java.base/java.util.concurrent.ForkJoinPool.scan(Unknown Source)
    	at java.base/java.util.concurrent.ForkJoinPool.runWorker(Unknown Source)
    	at java.base/java.util.concurrent.ForkJoinWorkerThread.run(Unknown Source)
    Caused by: org.apache.kafka.connect.errors.ConnectException: An exception occurred in the change event producer. This connector will be stopped.
    	at io.debezium.pipeline.ErrorHandler.setProducerThrowable(ErrorHandler.java:42)
    	at io.debezium.connector.oracle.logminer.LogMinerStreamingChangeEventSource.execute(LogMinerStreamingChangeEventSource.java:208)
    	at io.debezium.pipeline.ChangeEventSourceCoordinator.streamEvents(ChangeEventSourceCoordinator.java:152)
    	at io.debezium.pipeline.ChangeEventSourceCoordinator.lambda$start$0(ChangeEventSourceCoordinator.java:119)
    	at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source)
    	at java.base/java.util.concurrent.FutureTask.run(Unknown Source)
    	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
    	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
    	at java.base/java.lang.Thread.run(Unknown Source)
    Caused by: java.sql.SQLRecoverableException: No more data to read from socket
    	at oracle.jdbc.driver.T4CMAREngineNIO.prepareForUnmarshall(T4CMAREngineNIO.java:784)
    	at oracle.jdbc.driver.T4CMAREngineNIO.unmarshalUB1(T4CMAREngineNIO.java:429)
    	at oracle.jdbc.driver.T4CTTIfun.receive(T4CTTIfun.java:407)
    	at oracle.jdbc.driver.T4CTTIfun.doRPC(T4CTTIfun.java:268)
    	at oracle.jdbc.driver.T4C8Oall.doOALL(T4C8Oall.java:655)
    	at oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:270)
    	at oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:91)
    	at oracle.jdbc.driver.T4CPreparedStatement.executeForRows(T4CPreparedStatement.java:970)
    	at oracle.jdbc.driver.OracleStatement.executeMaybeDescribe(OracleStatement.java:1012)
    	at oracle.jdbc.driver.OracleStatement.doExecuteWithTimeout(OracleStatement.java:1168)
    	at oracle.jdbc.driver.OraclePreparedStatement.executeInternal(OraclePreparedStatement.java:3666)
    	at oracle.jdbc.driver.T4CPreparedStatement.executeInternal(T4CPreparedStatement.java:1426)
    	at oracle.jdbc.driver.OraclePreparedStatement.executeQuery(OraclePreparedStatement.java:3713)
    	at oracle.jdbc.driver.OraclePreparedStatementWrapper.executeQuery(OraclePreparedStatementWrapper.java:1167)
    	at io.debezium.connector.oracle.logminer.LogMinerStreamingChangeEventSource.execute(LogMinerStreamingChangeEventSource.java:184)
    	... 7 more
    
    
    2022-12-08 17:20:43
    赞同 展开评论 打赏

实时计算Flink版是阿里云提供的全托管Serverless Flink云服务,基于 Apache Flink 构建的企业级、高性能实时大数据处理系统。提供全托管版 Flink 集群和引擎,提高作业开发运维效率。

相关电子书

更多
低代码开发师(初级)实战教程 立即下载
冬季实战营第三期:MySQL数据库进阶实战 立即下载
阿里巴巴DevOps 最佳实践手册 立即下载