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[FLINK-8997] Added sliding window aggregation to datastream test job
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192 changes: 192 additions & 0 deletions
192
...llround-test/src/main/java/org/apache/flink/streaming/tests/SlidingWindowCheckMapper.java
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you under the Apache License, Version 2.0 (the | ||
* "License"); you may not use this file except in compliance | ||
* with the License. You may obtain a copy of the License at | ||
* | ||
* http:https://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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package org.apache.flink.streaming.tests; | ||
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import org.apache.flink.api.common.functions.RichFlatMapFunction; | ||
import org.apache.flink.api.common.state.ValueState; | ||
import org.apache.flink.api.common.state.ValueStateDescriptor; | ||
import org.apache.flink.api.common.typeinfo.BasicTypeInfo; | ||
import org.apache.flink.api.common.typeinfo.TypeInformation; | ||
import org.apache.flink.api.java.tuple.Tuple2; | ||
import org.apache.flink.api.java.typeutils.ListTypeInfo; | ||
import org.apache.flink.api.java.typeutils.TupleTypeInfo; | ||
import org.apache.flink.configuration.Configuration; | ||
import org.apache.flink.util.Collector; | ||
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import java.io.IOException; | ||
import java.util.ArrayList; | ||
import java.util.Collections; | ||
import java.util.Comparator; | ||
import java.util.List; | ||
import java.util.Optional; | ||
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/** | ||
* This mapper validates sliding event time window. It checks each event belongs to appropriate number of consecutive | ||
* windows. | ||
*/ | ||
public class SlidingWindowCheckMapper extends RichFlatMapFunction<Tuple2<Integer, List<Event>>, String> { | ||
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private static final long serialVersionUID = -744070793650644485L; | ||
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/** This value state tracks previously seen events with the number of windows they appeared in. */ | ||
private transient ValueState<List<Tuple2<Event, Integer>>> eventsSeenSoFar; | ||
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private transient ValueState<Long> lastSequenceNumber; | ||
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private final int slideFactor; | ||
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SlidingWindowCheckMapper(int slideFactor) { | ||
this.slideFactor = slideFactor; | ||
} | ||
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@Override | ||
public void open(Configuration parameters) { | ||
ValueStateDescriptor<List<Tuple2<Event, Integer>>> previousWindowDescriptor = | ||
new ValueStateDescriptor<>("eventsSeenSoFar", | ||
new ListTypeInfo<>(new TupleTypeInfo<>(TypeInformation.of(Event.class), BasicTypeInfo.INT_TYPE_INFO))); | ||
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eventsSeenSoFar = getRuntimeContext().getState(previousWindowDescriptor); | ||
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ValueStateDescriptor<Long> lastSequenceNumberDescriptor = | ||
new ValueStateDescriptor<>("lastSequenceNumber", BasicTypeInfo.LONG_TYPE_INFO); | ||
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lastSequenceNumber = getRuntimeContext().getState(lastSequenceNumberDescriptor); | ||
} | ||
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@Override | ||
public void flatMap(Tuple2<Integer, List<Event>> value, Collector<String> out) throws Exception { | ||
List<Tuple2<Event, Integer>> previousWindowValues = Optional.ofNullable(eventsSeenSoFar.value()).orElseGet( | ||
Collections::emptyList); | ||
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List<Event> newValues = value.f1; | ||
Optional<Event> lastEventInWindow = verifyWindowContiguity(newValues, out); | ||
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Long lastSequenceNumberSeenSoFar = lastSequenceNumber.value(); | ||
List<Tuple2<Event, Integer>> newWindows = | ||
verifyPreviousOccurences(previousWindowValues, newValues, lastSequenceNumberSeenSoFar, out); | ||
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if (lastEventInWindow.isPresent()) { | ||
updateLastSeenSequenceNumber(lastEventInWindow.get(), lastSequenceNumberSeenSoFar, out); | ||
} | ||
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eventsSeenSoFar.update(newWindows); | ||
} | ||
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private void updateLastSeenSequenceNumber( | ||
Event lastEventInWindow, | ||
Long lastSequenceNumberSeenSoFar, | ||
Collector<String> out) throws IOException { | ||
long lastSequenceNumberInWindow = lastEventInWindow.getSequenceNumber(); | ||
if (lastSequenceNumberSeenSoFar == null || lastSequenceNumberInWindow > lastSequenceNumberSeenSoFar) { | ||
lastSequenceNumber.update(lastSequenceNumberInWindow); | ||
} else if (lastSequenceNumberInWindow < lastSequenceNumberSeenSoFar) { | ||
failWithSequenceNumberDecreased(lastEventInWindow, lastSequenceNumberSeenSoFar, out); | ||
} | ||
} | ||
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private void failWithSequenceNumberDecreased( | ||
Event lastEventInWindow, | ||
Long lastSequenceNumberSeenSoFar, | ||
Collector<String> out) { | ||
out.collect(String.format("Last event in current window (%s) has sequence number lower than seen so far (%d)", | ||
lastEventInWindow, | ||
lastSequenceNumberSeenSoFar)); | ||
} | ||
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/** | ||
* Verifies if all values from previous windows appear in the new one. Returns union of all events seen so far that | ||
* were not seen <b>slideFactor</b> number of times yet. | ||
*/ | ||
private List<Tuple2<Event, Integer>> verifyPreviousOccurences( | ||
List<Tuple2<Event, Integer>> previousWindowValues, | ||
List<Event> newValues, | ||
Long lastSequenceNumberSeenSoFar, | ||
Collector<String> out) { | ||
List<Tuple2<Event, Integer>> newEventsSeenSoFar = new ArrayList<>(); | ||
List<Event> seenEvents = new ArrayList<>(); | ||
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for (Tuple2<Event, Integer> windowValue : previousWindowValues) { | ||
if (!newValues.contains(windowValue.f0)) { | ||
failWithEventNotSeenAlertMessage(windowValue, newValues, out); | ||
} else { | ||
seenEvents.add(windowValue.f0); | ||
preserveOrDiscardIfSeenSlideFactorTimes(newEventsSeenSoFar, windowValue); | ||
} | ||
} | ||
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addNotSeenValues(newEventsSeenSoFar, newValues, seenEvents, lastSequenceNumberSeenSoFar, out); | ||
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return newEventsSeenSoFar; | ||
} | ||
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private void addNotSeenValues( | ||
List<Tuple2<Event, Integer>> newEventsSeenSoFar, | ||
List<Event> newValues, | ||
List<Event> seenValues, | ||
Long lastSequenceNumberSeenSoFar, | ||
Collector<String> out) { | ||
newValues.stream() | ||
.filter(e -> !seenValues.contains(e)) | ||
.forEach(e -> { | ||
if (lastSequenceNumberSeenSoFar == null || e.getSequenceNumber() > lastSequenceNumberSeenSoFar) { | ||
newEventsSeenSoFar.add(Tuple2.of(e, 1)); | ||
} else { | ||
failWithEventSeenTooManyTimesMessage(e, out); | ||
} | ||
}); | ||
} | ||
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private void failWithEventSeenTooManyTimesMessage(Event e, Collector<String> out) { | ||
out.collect(String.format("Alert: event %s seen more than %d times", e, slideFactor)); | ||
} | ||
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private void preserveOrDiscardIfSeenSlideFactorTimes( | ||
List<Tuple2<Event, Integer>> newEvenstSeenSoFar, | ||
Tuple2<Event, Integer> windowValue) { | ||
int timesSeen = windowValue.f1 + 1; | ||
if (timesSeen != slideFactor) { | ||
newEvenstSeenSoFar.add(Tuple2.of(windowValue.f0, timesSeen)); | ||
} | ||
} | ||
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private void failWithEventNotSeenAlertMessage( | ||
Tuple2<Event, Integer> previousWindowValue, | ||
List<Event> currentWindowValues, | ||
Collector<String> out) { | ||
out.collect(String.format( | ||
"Alert: event %s did not belong to %d consecutive windows. " + | ||
"Event seen so far %d times.Current window: %s", | ||
previousWindowValue.f0, | ||
slideFactor, | ||
previousWindowValue.f1, | ||
currentWindowValues)); | ||
} | ||
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private Optional<Event> verifyWindowContiguity(List<Event> newValues, Collector<String> out) { | ||
return newValues.stream() | ||
.sorted(Comparator.comparingLong(Event::getSequenceNumber)) | ||
.reduce((event, event2) -> { | ||
if (event2.getSequenceNumber() - 1 != event.getSequenceNumber()) { | ||
out.collect("Alert: events in window out ouf order!"); | ||
} | ||
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return event2; | ||
}); | ||
} | ||
} |