聊聊flink的Tumbling Window

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本文主要研究一下flink的tumbling window

WindowAssigner

flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/windowing/assigners/WindowAssigner.java

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@PublicEvolvingpublic abstract class WindowAssigner implements Serializable {    private static final long serialVersionUID = 1L;​    /**     * Returns a {@code Collection} of windows that should be assigned to the element.     *     * @param element The element to which windows should be assigned.     * @param timestamp The timestamp of the element.     * @param context The {@link WindowAssignerContext} in which the assigner operates.     */    public abstract Collection assignWindows(T element, long timestamp, WindowAssignerContext context);​    /**     * Returns the default trigger associated with this {@code WindowAssigner}.     */    public abstract Trigger getDefaultTrigger(StreamExecutionEnvironment env);​    /**     * Returns a {@link TypeSerializer} for serializing windows that are assigned by     * this {@code WindowAssigner}.     */    public abstract TypeSerializer getWindowSerializer(ExecutionConfig executionConfig);​    /**     * Returns {@code true} if elements are assigned to windows based on event time,     * {@code false} otherwise.     */    public abstract boolean isEventTime();​    /**     * A context provided to the {@link WindowAssigner} that allows it to query the     * current processing time.     *     * 
This is provided to the assigner by its containing     * {@link org.apache.flink.streaming.runtime.operators.windowing.WindowOperator},     * which, in turn, gets it from the containing     * {@link org.apache.flink.streaming.runtime.tasks.StreamTask}.     */    public abstract static class WindowAssignerContext {​        /**         * Returns the current processing time.         */        public abstract long getCurrentProcessingTime();​    }}
WindowAssigner定义了assignWindows、getDefaultTrigger、getWindowSerializer、isEventTime这几个抽象方法，同时定义了抽象静态类WindowAssignerContext；它有两个泛型，其中T为元素类型，而W为窗口类型Window
flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/windowing/windows/Window.java
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@PublicEvolvingpublic abstract class Window {​    /**     * Gets the largest timestamp that still belongs to this window.     *     * @return The largest timestamp that still belongs to this window.     */    public abstract long maxTimestamp();}
Window对象代表把无限流数据划分为有限buckets的集合，它有一个maxTimestamp，代表该窗口数据在该时间点内到达；它有两个子类，一个是GlobalWindow，一个是TimeWindowTimeWindow
flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/windowing/windows/TimeWindow.java
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@PublicEvolvingpublic class TimeWindow extends Window {​    private final long start;    private final long end;​    public TimeWindow(long start, long end) {        this.start = start;        this.end = end;    }​    /**     * Gets the starting timestamp of the window. This is the first timestamp that belongs     * to this window.     *     * @return The starting timestamp of this window.     */    public long getStart() {        return start;    }​    /**     * Gets the end timestamp of this window. The end timestamp is exclusive, meaning it     * is the first timestamp that does not belong to this window any more.     *     * @return The exclusive end timestamp of this window.     */    public long getEnd() {        return end;    }​    /**     * Gets the largest timestamp that still belongs to this window.     *     * 
This timestamp is identical to {@code getEnd() - 1}.     *     * @return The largest timestamp that still belongs to this window.     *     * @see #getEnd()     */    @Override    public long maxTimestamp() {        return end - 1;    }​    @Override    public boolean equals(Object o) {        if (this == o) {            return true;        }        if (o == null || getClass() != o.getClass()) {            return false;        }​        TimeWindow window = (TimeWindow) o;​        return end == window.end && start == window.start;    }​    @Override    public int hashCode() {        return MathUtils.longToIntWithBitMixing(start + end);    }​    @Override    public String toString() {        return "TimeWindow{" +                "start=" + start +                ", end=" + end +                '}';    }​    /**     * Returns {@code true} if this window intersects the given window.     */    public boolean intersects(TimeWindow other) {        return this.start = other.start;    }​    /**     * Returns the minimal window covers both this window and the given window.     */    public TimeWindow cover(TimeWindow other) {        return new TimeWindow(Math.min(start, other.start), Math.max(end, other.end));    }​    // ------------------------------------------------------------------------    // Serializer    // ------------------------------------------------------------------------​    //......​    // ------------------------------------------------------------------------    //  Utilities    // ------------------------------------------------------------------------​    /**     * Merge overlapping {@link TimeWindow}s. For use by merging     * {@link org.apache.flink.streaming.api.windowing.assigners.WindowAssigner WindowAssigners}.     */    public static void mergeWindows(Collection windows, MergingWindowAssigner.MergeCallback c) {​        // sort the windows by the start time and then merge overlapping windows​        List sortedWindows = new ArrayList(windows);​        Collections.sort(sortedWindows, new Comparator() {            @Override            public int compare(TimeWindow o1, TimeWindow o2) {                return Long.compare(o1.getStart(), o2.getStart());            }        });​        List<Tuple2<TimeWindow, Set>> merged = new ArrayList();        Tuple2<TimeWindow, Set> currentMerge = null;​        for (TimeWindow candidate: sortedWindows) {            if (currentMerge == null) {                currentMerge = new Tuple2();                currentMerge.f0 = candidate;                currentMerge.f1 = new HashSet();                currentMerge.f1.add(candidate);            } else if (currentMerge.f0.intersects(candidate)) {                currentMerge.f0 = currentMerge.f0.cover(candidate);                currentMerge.f1.add(candidate);            } else {                merged.add(currentMerge);                currentMerge = new Tuple2();                currentMerge.f0 = candidate;                currentMerge.f1 = new HashSet();                currentMerge.f1.add(candidate);            }        }​        if (currentMerge != null) {            merged.add(currentMerge);        }​        for (Tuple2<TimeWindow, Set> m: merged) {            if (m.f1.size() > 1) {                c.merge(m.f1, m.f0);            }        }    }​    /**     * Method to get the window start for a timestamp.     *     * @param timestamp epoch millisecond to get the window start.     * @param offset The offset which window start would be shifted by.     * @param windowSize The size of the generated windows.     * @return window start     */    public static long getWindowStartWithOffset(long timestamp, long offset, long windowSize) {        return timestamp - (timestamp - offset + windowSize) % windowSize;    }}
TimeWindow有start及end属性，其中start为inclusive，而end为exclusive，所以maxTimestamp返回的是end-1；这里重写了equals及hashcode方法TimeWindow提供了intersects方法用于表示本窗口与指定窗口是否有交叉；而cover方法用于返回本窗口与指定窗口的重叠窗口TimeWindow还提供了mergeWindows及getWindowStartWithOffset静态方法；前者用于合并重叠的时间窗口，后者用于获取指定timestamp、offset、windowSize的window startTumblingEventTimeWindows
flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/windowing/assigners/TumblingEventTimeWindows.java
代码语言：javascript代码运行次数：0运行复制
@PublicEvolvingpublic class TumblingEventTimeWindows extends WindowAssigner