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我创建一个测试，看看我的弗林克模式功能超时正确。我使用这个弗林克斯佩克特和我有以下测试用例：JunitTest的数据流中与弗林克斯佩克特
@Test
public void SameDoor_TwoStatuses_OneSecondTimeoutPattern() {
// Arrange
long now = new Date().getTime();
DoorEvent event1 = new DoorEvent();
event1.setId(123);
event1.getDoor().setId(1);
event1.getDoor().setStatus("statusaaaaaa");
event1.setTimestamp(now);
EventTimeInputBuilder<DoorEvent> builder = EventTimeInputBuilder.startWith(event1, event1.getTimestamp());
DataStream<DoorEvent> stream = createTestStream(builder).assignTimestampsAndWatermarks(new TestTimestampExtractor<DoorEvent>());
// Act
Pattern<DoorEvent, ?> pattern = StatusNotFollowedByAnotherStatusPattern.getPatternForSameDoor(1, "firstevent", "statusaaaaaa","secondevent", "status2");
PatternStream<DoorEvent> pStream = CEP.pattern(stream, pattern);
DataStream<Either<Integer,Tuple2<Integer,Integer>>> patterns = pStream.select(getEventIdOfTimeoutEvent(),selectEventIdsOfPatterns()).forward();
patterns.print(); // prints Left(123)
ExpectedRecords<Either<Integer,Tuple2<Integer,Integer>>> expectedRecords =
new ExpectedRecords<Either<Integer,Tuple2<Integer,Integer>>>()
.expect(new Left<Integer, Tuple2<Integer,Integer>>(123));
expectedRecords.refine().sameFrequency();
// Assert
assertStream(patterns, expectedRecords);
}
private PatternSelectFunction<DoorEvent, Tuple2<Integer, Integer>> selectEventIdsOfPatterns(){
return new PatternSelectFunction<DoorEvent, Tuple2<Integer,Integer>>() {
private static final long serialVersionUID = 3830508947015151715L;
@Override
public Tuple2<Integer,Integer> select(Map<String, List<DoorEvent>> pattern) throws Exception {
Tuple2<Integer,Integer> t = new Tuple2<Integer,Integer>();
t.f0 = pattern.get("firstevent").get(0).getId();
t.f1 = pattern.get("secondevent").get(0).getId();
return t;
}
};
}
private PatternTimeoutFunction<DoorEvent, Integer> getEventIdOfTimeoutEvent(){
return new PatternTimeoutFunction<DoorEvent, Integer>() {
private static final long serialVersionUID = 1L;
@Override
public Integer timeout(Map<String, List<DoorEvent>> arg0, long arg1) throws Exception {
int id = arg0.get("firstevent").get(0).getId();
System.out.println("Timeout triggered on eventstatus " + arg0.get("firstevent").get(0).getDoor().getStatus());
return id;
}
};
}
我的代码不会打印status statusaaaaaa，这是我的第一个事件的状态是在模式，在patternTimeoutFunction。在定义的时间段内没有检测到第二个状态，所以超时被调用并向模式流添加一个整数。我如何在ExpectedRecords中说我预计值为123的左边？
编辑
我公司目前拥有的错误是：
org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply$mcV$sp(JobManager.scala:933)
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply(JobManager.scala:876)
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$7.apply(JobManager.scala:876)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.lang.RuntimeException: Exception occurred while processing valve output watermark:
at org.apache.flink.streaming.runtime.io.StreamInputProcessor$ForwardingValveOutputHandler.handleWatermark(StreamInputProcessor.java:289)
at org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.findAndOutputNewMinWatermarkAcrossAlignedChannels(StatusWatermarkValve.java:173)
at org.apache.flink.streaming.runtime.streamstatus.StatusWatermarkValve.inputWatermark(StatusWatermarkValve.java:108)
at org.apache.flink.streaming.runtime.io.StreamInputProcessor.processInput(StreamInputProcessor.java:188)
at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:69)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:263)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:702)
at java.lang.Thread.run(Unknown Source)
Caused by: org.apache.flink.streaming.runtime.tasks.ExceptionInChainedOperatorException: Could not forward element to next operator
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:530)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:503)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:483)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:891)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:869)
at org.apache.flink.cep.operator.TimeoutKeyedCEPPatternOperator.emitTimedOutSequences(TimeoutKeyedCEPPatternOperator.java:77)
at org.apache.flink.cep.operator.TimeoutKeyedCEPPatternOperator.advanceTime(TimeoutKeyedCEPPatternOperator.java:68)
at org.apache.flink.cep.operator.AbstractKeyedCEPPatternOperator.onEventTime(AbstractKeyedCEPPatternOperator.java:242)
at org.apache.flink.streaming.api.operators.HeapInternalTimerService.advanceWatermark(HeapInternalTimerService.java:275)
at org.apache.flink.streaming.api.operators.InternalTimeServiceManager.advanceWatermark(InternalTimeServiceManager.java:107)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator.processWatermark(AbstractStreamOperator.java:946)
at org.apache.flink.streaming.runtime.io.StreamInputProcessor$ForwardingValveOutputHandler.handleWatermark(StreamInputProcessor.java:286)
... 7 more
Caused by: org.apache.flink.streaming.runtime.tasks.ExceptionInChainedOperatorException: Could not forward element to next operator
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:530)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:503)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:483)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$BroadcastingOutputCollector.collect(OperatorChain.java:575)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$BroadcastingOutputCollector.collect(OperatorChain.java:536)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:891)
at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:869)
at org.apache.flink.streaming.api.operators.StreamMap.processElement(StreamMap.java:41)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:528)
... 18 more
Caused by: org.apache.flink.api.common.functions.InvalidTypesException: Type extraction is not possible on Either type as it does not contain information about the 'left' type.
at org.apache.flink.api.java.typeutils.EitherTypeInfoFactory.createTypeInfo(EitherTypeInfoFactory.java:37)
at org.apache.flink.api.java.typeutils.TypeExtractor.createTypeInfoFromFactory(TypeExtractor.java:1233)
at org.apache.flink.api.java.typeutils.TypeExtractor.privateGetForObject(TypeExtractor.java:2054)
at org.apache.flink.api.java.typeutils.TypeExtractor.getForObject(TypeExtractor.java:2044)
at io.flinkspector.datastream.functions.TestSink.invoke(TestSink.java:82)
at org.apache.flink.streaming.api.operators.StreamSink.processElement(StreamSink.java:41)
at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:528)
... 26 more
他们的github上做出的一个问题。 Thx回复:) –