Hi, 这个报错信息应该挺明显了,eventTime是不能为null的,请检查下Kafka里的数据ts字段是不是有null值或者没有这个字段的情况,如果是可以用个简单udf处理下没有值时ts需要指定一个值。
祝好, Leonard Xu > 在 2020年5月25日,09:52,Enzo wang <sre.enzow...@gmail.com> 写道: > > 请各位帮忙看一下是什么问题? > > 数据流如下: > Apache -> Logstash -> Kafka -> Flink ->ES -> Kibana > > 日志到Kafka里面已经为JSON,格式如下: > { > "path":"/logs/user_conn_speed.log.1", > "bytes_received":"8597", > "ts":"2020-05-25T08:51:15Z", > "message":"20.228.255.68 183685 2 10701 3 [2020-05-25T08:51:15Z] \"GET > /speed.gif HTTP/1.1\" 200 8597", > "client":"20.228.255.68", > "uid":"183685", > "ver_id":"3", > "status_code":"200", > "type":"logs", > "conn_speed_ms":"10701", > "host":"81b034ef6c72", > "@timestamp":"2020-05-25T00:51:16.267Z", > "request":"/speed.gif", > "@version":"1", > "device_id":"2", > "http_ver":"1.1" > } > > Flink SQL 中Kafka源表DDL: > CREATE TABLE user_conn_speed_log ( > uid BIGINT, > device_id INT, > ver_id INT, > conn_speed_ms INT, > client STRING, > http_ver STRING, > status_code INT, > ts TIMESTAMP(3), > proctime as PROCTIME(), > WATERMARK FOR ts as ts - INTERVAL '5' SECOND > ) WITH ( > 'connector.type' = 'kafka', > 'connector.version' = 'universal', > 'connector.topic' = 'user_conn_speed_log', > 'connector.startup-mode' = 'earliest-offset', > 'connector.properties.zookeeper.connect' = 'localhost:2181', > 'connector.properties.bootstrap.servers' = 'localhost:9092', > 'format.type' = 'json' > ); > > ES 表: > CREATE TABLE log_per_sec ( > window_start VARCHAR, > window_end VARCHAR, > log_cnt BIGINT > ) WITH ( > 'connector.type' = 'elasticsearch', > 'connector.version' = '6', > 'connector.hosts' = 'http://localhost:9200 <http://localhost:9200/>', > 'connector.index' = 'user_conn_speed_log', > 'connector.document-type' = 'logs_per_sec', > 'connector.bulk-flush.max-actions' = '1', > 'format.type' = 'json', > 'update-mode' = 'append' > ); > > Flink SQL命令: > > Flink SQL> INSERT INTO log_per_sec > > SELECT > > CAST((TUMBLE_START(ts, INTERVAL '1' SECOND)) as VARCHAR) as window_start, > > CAST((TUMBLE_END(ts, INTERVAL '1' SECOND)) as VARCHAR) as window_end, > > count(*) as log_cnt > > FROM user_conn_speed_log > > GROUP BY TUMBLE(ts, INTERVAL '1' SECOND); > [INFO] Submitting SQL update statement to the cluster... > [INFO] Table update statement has been successfully submitted to the cluster: > Job ID: 0f8d982d150c9fcb4ea5e78a8d7b2d85 > > Flink 报错: > > 2020-05-25 08:52:53 > org.apache.flink.runtime.JobException: Recovery is suppressed by > NoRestartBackoffTimeStrategy > at > org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:110) > at > org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:76) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:192) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:186) > at > org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:180) > at > org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:496) > at > org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:380) > at jdk.internal.reflect.GeneratedMethodAccessor86.invoke(Unknown Source) > at > java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.base/java.lang.reflect.Method.invoke(Method.java:567) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:284) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:199) > at > org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:74) > at > org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:152) > at akka.japi.pf > <http://akka.japi.pf/>.UnitCaseStatement.apply(CaseStatements.scala:26) > at akka.japi.pf > <http://akka.japi.pf/>.UnitCaseStatement.apply(CaseStatements.scala:21) > at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123) > at akka.japi.pf > <http://akka.japi.pf/>.UnitCaseStatement.applyOrElse(CaseStatements.scala:21) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:170) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171) > at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171) > at akka.actor.Actor$class.aroundReceive(Actor.scala:517) > at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592) > at akka.actor.ActorCell.invoke(ActorCell.scala:561) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258) > at akka.dispatch.Mailbox.run(Mailbox.scala:225) > at akka.dispatch.Mailbox.exec(Mailbox.scala:235) > at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) > at > akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) > at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) > at > akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) > Caused by: java.lang.RuntimeException: RowTime field should not be null, > please convert it to a non-null long value. > at > org.apache.flink.table.runtime.operators.wmassigners.WatermarkAssignerOperator.processElement(WatermarkAssignerOperator.java:105) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:641) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:616) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:596) > at > org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:730) > at > org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:708) > at StreamExecCalc$550.processElement(Unknown Source) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:641) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:616) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:596) > at > org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:730) > at > org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:708) > at SourceConversion$538.processElement(Unknown Source) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:641) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:616) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:596) > at > org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:730) > at > org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:708) > at > org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollectWithTimestamp(StreamSourceContexts.java:310) > at > org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collectWithTimestamp(StreamSourceContexts.java:409) > at > org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher.emitRecordWithTimestamp(AbstractFetcher.java:398) > at > org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.emitRecord(KafkaFetcher.java:185) > at > org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.runFetchLoop(KafkaFetcher.java:150) > at > org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:715) > at > org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100) > at > org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63) > at > org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:196) > > 截屏: > > > <flink.jp2>