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private void myMethod () {Dictionary d =
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.window(sliding(MINUTES.toMillis(120), MINUTES.toMillis(15))) .aggregate(linearTrend(CarCount::getTime, CarCount::getCount)) .map((TimestampedEntry<String, Double> e) ->
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; }
@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; }
@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; }
/** * 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; }
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; }
@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; }
@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; }