/* * Copyright 2013-2017 the original author or authors. * * Licensed 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://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. */ package org.cloudfoundry.util; import reactor.core.Disposable; import reactor.core.publisher.DirectProcessor; import reactor.core.publisher.Flux; import reactor.util.function.Tuple2; import java.time.Duration; import java.time.Instant; import java.util.ArrayList; import java.util.Comparator; import java.util.List; import java.util.Optional; import java.util.PriorityQueue; import java.util.Queue; import java.util.function.Function; /** * Utilities for sorting */ public final class SortingUtils { private SortingUtils() { } /** * Sorts the elements of a {@link Flux} within a sliding time window. This sorter should be used when element order may be scrambled, but that scrambling has a certain 'temporal locality' to it. * This assumption means that sorting can be limited to elements that arrive temporally close to one another without risking a latecomer being sorted incorrectly. * * @param comparator a {@link Comparator} to use when sorting the elements within the window * @param timespan the duration of the 'temporal locality' * @param <T> The type of the elements to be sorted * @return a {@link Flux} providing the sorted elements */ public static <T> Function<Flux<T>, Flux<T>> timespan(Comparator<T> comparator, Duration timespan) { return source -> { Queue<Tuple2<Long, T>> accumulator = new PriorityQueue<>((o1, o2) -> comparator.compare(o1.getT2(), o2.getT2())); Object monitor = new Object(); DirectProcessor<Void> d = DirectProcessor.create(); Disposable disposable = source .timestamp() .subscribe(item -> { Optional.ofNullable(item) .ifPresent(i -> { synchronized (monitor) { accumulator.add(i); } }); }, d::onError, d::onComplete); return Flux .interval(timespan) .takeUntilOther(d) .flatMap(n -> getItems(accumulator, comparator, timespan), null, () -> getItems(accumulator, comparator, Duration.ZERO)) .doOnCancel(disposable::dispose); }; } private static <T> Flux<T> getItems(Queue<Tuple2<Long, T>> accumulator, Object monitor, Duration timespan) { List<T> items = new ArrayList<>(); synchronized (monitor) { while (isBefore(accumulator.peek(), timespan)) { items.add(accumulator.remove().getT2()); } } return Flux.fromIterable(items); } private static <T> boolean isBefore(Tuple2<Long, T> candidate, Duration timespan) { return candidate != null && (Duration.ZERO == timespan || Instant.ofEpochMilli(candidate.getT1()).isBefore(Instant.now().minus(timespan))); } }