flink lookup table异步读取redis的一个超时报错

完整的报错信息

2022-06-06 17:35:44
org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy
	at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:118)
	at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:80)
	at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:233)
	at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:224)
	at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:215)
	at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:666)
	at org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:89)
	at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:446)
	at sun.reflect.GeneratedMethodAccessor56.invoke(Unknown Source)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:305)
	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:212)
	at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:77)
	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:158)
	at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
	at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
	at scala.PartialFunction.applyOrElse(PartialFunction.scala:123)
	at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122)
	at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
	at scala.PartialFunction$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:517)
	at akka.actor.Actor.aroundReceive$(Actor.scala:515)
	at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225)
	at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592)
	at akka.actor.ActorCell.invoke(ActorCell.scala:561)
	at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258)
	at akka.dispatch.Mailbox.run(Mailbox.scala:225)
	at akka.dispatch.Mailbox.exec(Mailbox.scala:235)
	at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
	at akka.dispatch.forkjoin.ForkJoinPool$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.Exception: Could not complete the stream element: Record @ (undef) : org.apache.flink.table.data.binary.BinaryRowData@b49a6d08.
	at org.apache.flink.streaming.api.operators.async.AsyncWaitOperator$ResultHandler.completeExceptionally(AsyncWaitOperator.java:368)
	at org.apache.flink.streaming.api.functions.async.AsyncFunction.timeout(AsyncFunction.java:97)
	at org.apache.flink.streaming.api.operators.async.AsyncWaitOperator$ResultHandler.timerTriggered(AsyncWaitOperator.java:391)
	at org.apache.flink.streaming.api.operators.async.AsyncWaitOperator$ResultHandler.lambda$registerTimeout$1(AsyncWaitOperator.java:386)
	at org.apache.flink.streaming.runtime.tasks.StreamTask.invokeProcessingTimeCallback(StreamTask.java:1327)
	at org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$null$17(StreamTask.java:1318)
	at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.runThrowing(StreamTaskActionExecutor.java:50)
	at org.apache.flink.streaming.runtime.tasks.mailbox.Mail.run(Mail.java:90)
	at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.processMail(MailboxProcessor.java:317)
	at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:189)
	at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:619)
	at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:583)
	at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:758)
	at org.apache.flink.runtime.taskmanager.Task.run(Task.java:573)
	at java.lang.Thread.run(Thread.java:748)
Caused by: java.util.concurrent.TimeoutException: Async function call has timed out.
	... 14 more

最终是因为异步操作超时，导致算子挂掉。

Caused by: java.util.concurrent.TimeoutException: Async function call has timed out.
	... 14 more

实际的错误看上去是数据的类型问题。

Could not complete the stream element: Record @ (undef) : org.apache.flink.table.data.binary.BinaryRowData@b49a6d08.

最终问题定位是：

create table redis_dim_goods (
	goods_id string,
	goods_code string,
	goods_price decimal(15,2),
	goods_tax_code string,
	goods_tax_rate decimal(6,3),
	goods_status bigint,
	pt string
) with (
	'key.prefix' = 'dim_goods',
	'master' = 'xxx',
	'key.field.name' = 'goods_id',
	'host' = 'xxx',
	'port' = 'xxx',
	'connector' = 'redis',
	'mode' = 'sentinel',
	'password' = 'xxx'
);

在create table的时候，字段类型和异步读取的时候不匹配。这里create table的时候有decimal和bigint类型，而读取redis获得的都是string类型，flink在lookup table往下游传的类型是Row类型，通过row.setField()方法传入值，这里接受的是Object类型。因此，如果在这里是将redis读取的string直接传入，则在create table的时候字段类型只能是string类型。否则会报以上错误，这个报错非常的不明显，不太好定位，记录一下。