本文整理了Java中com.hazelcast.jet.pipeline.WindowDefinition.sliding()方法的一些代码示例，展示了WindowDefinition.sliding()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。WindowDefinition.sliding()方法的具体详情如下：
包路径：com.hazelcast.jet.pipeline.WindowDefinition
类名称：WindowDefinition
方法名：sliding

WindowDefinition.sliding介绍

[英]Returns a WindowKind#SLIDING window definition with the given parameters.

Find more information in the Hazelcast Jet Reference Manual, Sliding and Tumbling Window.
[中]返回带有给定参数的WindowKind#滑动窗口定义。
在Hazelcast Jet参考手册的滑动和翻滚窗口中找到更多信息。

代码示例

代码示例来源：origin: hazelcast/hazelcast-jet-demos

.window(sliding(MINUTES.toMillis(120), MINUTES.toMillis(15)))
.aggregate(linearTrend(CarCount::getTime, CarCount::getCount))
.map((TimestampedEntry<String, Double> e) ->

代码示例来源：origin: hazelcast/hazelcast-jet-code-samples

private static Pipeline buildPipeline() {
  Pipeline p = Pipeline.create();
  p.drawFrom(Sources.<Trade, Integer, Trade>mapJournal(TRADES_MAP_NAME,
      DistributedPredicate.alwaysTrue(), EventJournalMapEvent::getNewValue, START_FROM_CURRENT))
   .addTimestamps(Trade::getTime, 3000)
   .groupingKey(Trade::getTicker)
   .window(WindowDefinition.sliding(SLIDING_WINDOW_LENGTH_MILLIS, SLIDE_STEP_MILLIS))
   .aggregate(counting(),
       (winStart, winEnd, key, result) -> String.format("%s %5s %4d", toLocalTime(winEnd), key, result))
   .drainTo(Sinks.logger());
  return p;
}

代码示例来源：origin: hazelcast/hazelcast-jet-code-samples

@SuppressWarnings("Convert2MethodRef") // https://bugs.openjdk.java.net/browse/JDK-8154236
private static Pipeline aggregate() {
  Pipeline p = Pipeline.create();
  p.drawFrom(Sources.<PageVisit, Integer, PageVisit>mapJournal(PAGE_VISIT,
      mapPutEvents(), mapEventNewValue(), START_FROM_OLDEST))
   .addTimestamps(pv -> pv.timestamp(), 100)
   .window(sliding(10, 1))
   .aggregate(counting())
   .drainTo(Sinks.logger());
  return p;
}

代码示例来源：origin: hazelcast/hazelcast-jet-code-samples

@SuppressWarnings("Convert2MethodRef") // https://bugs.openjdk.java.net/browse/JDK-8154236
private static Pipeline groupAndAggregate() {
  Pipeline p = Pipeline.create();
  p.drawFrom(Sources.<PageVisit, Integer, PageVisit>mapJournal(PAGE_VISIT,
      mapPutEvents(), mapEventNewValue(), START_FROM_OLDEST))
   .addTimestamps(pv -> pv.timestamp(), 100)
   .window(sliding(10, 1))
   .groupingKey(pv -> pv.userId())
   .aggregate(toList())
   .drainTo(Sinks.logger());
  return p;
}

代码示例来源：origin: hazelcast/hazelcast-jet-code-samples

/**
 * This code is the main point of the sample: use the source builder to
 * create an HTTP source connector, then create a Jet pipeline that
 * performs windowed aggregation over its data.
 */
private static Pipeline buildPipeline() {
  StreamSource<TimestampedItem<Long>> usedMemorySource = SourceBuilder
      .timestampedStream("used-memory", x -> new PollHttp())
      .fillBufferFn(PollHttp::fillBuffer)
      .destroyFn(PollHttp::close)
      .build();
  Pipeline p = Pipeline.create();
  p.drawFrom(usedMemorySource)
   .window(sliding(100, 20))
   .aggregate(linearTrend(TimestampedItem::timestamp, TimestampedItem::item))
   .map(tsItem -> entry(tsItem.timestamp(), tsItem.item()))
   .drainTo(Sinks.map(MAP_NAME));
  return p;
}

代码示例来源：origin: hazelcast/hazelcast-jet-code-samples

private static Pipeline buildPipeline() {
  Pipeline p = Pipeline.create();
  p.drawFrom(Sources.<PriceUpdateEvent, String, Tuple2<Integer, Long>>mapJournal(
      "prices",
      mapPutEvents(),
      e -> new PriceUpdateEvent(e.getKey(), e.getNewValue().f0(), e.getNewValue().f1()),
      START_FROM_CURRENT
  ))
   .addTimestamps(PriceUpdateEvent::timestamp, LAG_SECONDS * 1000)
   .setLocalParallelism(1)
   .groupingKey(PriceUpdateEvent::ticker)
   .window(WindowDefinition.sliding(WINDOW_SIZE_SECONDS * 1000, 1000))
   .aggregate(AggregateOperations.counting())
   .drainTo(Sinks.logger());
  return p;
}

代码示例来源：origin: hazelcast/hazelcast-jet-code-samples

@SuppressWarnings("Convert2MethodRef") // https://bugs.openjdk.java.net/browse/JDK-8154236
private static Pipeline coGroup() {
  Pipeline p = Pipeline.create();
  StreamStageWithKey<PageVisit, Integer> pageVisits = p
      .drawFrom(Sources.<PageVisit, Integer, PageVisit>mapJournal(PAGE_VISIT,
          mapPutEvents(), mapEventNewValue(), START_FROM_OLDEST))
      .addTimestamps(pv -> pv.timestamp(), 100)
      .groupingKey(pv -> pv.userId());
  StreamStageWithKey<Payment, Integer> payments = p
      .drawFrom(Sources.<Payment, Integer, Payment>mapJournal(PAYMENT,
          mapPutEvents(), mapEventNewValue(), START_FROM_OLDEST))
      .addTimestamps(pm -> pm.timestamp(), 100)
      .groupingKey(pm -> pm.userId());
  StreamStageWithKey<AddToCart, Integer> addToCarts = p
      .drawFrom(Sources.<AddToCart, Integer, AddToCart>mapJournal(ADD_TO_CART,
          mapPutEvents(), mapEventNewValue(), START_FROM_OLDEST))
      .addTimestamps(atc -> atc.timestamp(), 100)
      .groupingKey(atc -> atc.userId());
  StageWithKeyAndWindow<PageVisit, Integer> windowStage = pageVisits.window(sliding(10, 1));
  StreamStage<TimestampedEntry<Integer, Tuple3<List<PageVisit>, List<AddToCart>, List<Payment>>>> coGrouped =
      windowStage.aggregate3(toList(), addToCarts, toList(), payments, toList());
  coGrouped.drainTo(Sinks.logger());
  return p;
}

代码示例来源：origin: hazelcast/hazelcast-jet-code-samples

@SuppressWarnings("Convert2MethodRef") // https://bugs.openjdk.java.net/browse/JDK-8154236
private static Pipeline coGroupWithBuilder() {
  Pipeline p = Pipeline.create();
  StreamStageWithKey<PageVisit, Integer> pageVisits = p
      .drawFrom(Sources.<PageVisit, Integer, PageVisit>mapJournal(PAGE_VISIT,
          mapPutEvents(), mapEventNewValue(), START_FROM_OLDEST))
      .addTimestamps(pv -> pv.timestamp(), 100)
      .groupingKey(pv -> pv.userId());
  StreamStageWithKey<AddToCart, Integer> addToCarts = p
      .drawFrom(Sources.<AddToCart, Integer, AddToCart>mapJournal(ADD_TO_CART,
          mapPutEvents(), mapEventNewValue(), START_FROM_OLDEST))
      .addTimestamps(atc -> atc.timestamp(), 100)
      .groupingKey(atc -> atc.userId());
  StreamStageWithKey<Payment, Integer> payments = p
      .drawFrom(Sources.<Payment, Integer, Payment>mapJournal(PAYMENT,
          mapPutEvents(), mapEventNewValue(), START_FROM_OLDEST))
      .addTimestamps(pm -> pm.timestamp(), 100)
      .groupingKey(pm -> pm.userId());
  StageWithKeyAndWindow<PageVisit, Integer> windowStage = pageVisits.window(sliding(10, 1));
  WindowGroupAggregateBuilder<Integer, List<PageVisit>> builder = windowStage.aggregateBuilder(toList());
  Tag<List<PageVisit>> pageVisitTag = builder.tag0();
  Tag<List<AddToCart>> addToCartTag = builder.add(addToCarts, toList());
  Tag<List<Payment>> paymentTag = builder.add(payments, toList());
  StreamStage<TimestampedEntry<Integer, Tuple3<List<PageVisit>, List<AddToCart>, List<Payment>>>> coGrouped =
      builder.build((winStart, winEnd, key, r) -> new TimestampedEntry<>(
          winEnd, key, tuple3(r.get(pageVisitTag), r.get(addToCartTag), r.get(paymentTag))));
  coGrouped.drainTo(Sinks.logger());
  return p;
}