聊聊flink的Session Window

本文主要研究一下flink的Session Window

MergingWindowAssigner

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

@PublicEvolving
public abstract class MergingWindowAssigner<T, W extends Window> extends WindowAssigner<T, W> {
    private static final long serialVersionUID = 1L;

    /**
     * Determines which windows (if any) should be merged.
     *
     * @param windows The window candidates.
     * @param callback A callback that can be invoked to signal which windows should be merged.
     */
    public abstract void mergeWindows(Collection<W> windows, MergeCallback<W> callback);

    /**
     * Callback to be used in {@link #mergeWindows(Collection, MergeCallback)} for specifying which
     * windows should be merged.
     */
    public interface MergeCallback<W> {

        /**
         * Specifies that the given windows should be merged into the result window.
         *
         * @param toBeMerged The list of windows that should be merged into one window.
         * @param mergeResult The resulting merged window.
         */
        void merge(Collection<W> toBeMerged, W mergeResult);
    }
}
  • MergingWindowAssigner继承了WindowAssigner,它自己定义了mergeWindows抽象方法,该方法有一个MergeCallback类型参数,MergeCallback接口定义了merge方法,传入merge前的windows及合并后的window

EventTimeSessionWindows

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

public class EventTimeSessionWindows extends MergingWindowAssigner<Object, TimeWindow> {
    private static final long serialVersionUID = 1L;

    protected long sessionTimeout;

    protected EventTimeSessionWindows(long sessionTimeout) {
        if (sessionTimeout <= 0) {
            throw new IllegalArgumentException("EventTimeSessionWindows parameters must satisfy 0 < size");
        }

        this.sessionTimeout = sessionTimeout;
    }

    @Override
    public Collection<TimeWindow> assignWindows(Object element, long timestamp, WindowAssignerContext context) {
        return Collections.singletonList(new TimeWindow(timestamp, timestamp + sessionTimeout));
    }

    @Override
    public Trigger<Object, TimeWindow> getDefaultTrigger(StreamExecutionEnvironment env) {
        return EventTimeTrigger.create();
    }

    @Override
    public String toString() {
        return "EventTimeSessionWindows(" + sessionTimeout + ")";
    }

    /**
     * Creates a new {@code SessionWindows} {@link WindowAssigner} that assigns
     * elements to sessions based on the element timestamp.
     *
     * @param size The session timeout, i.e. the time gap between sessions
     * @return The policy.
     */
    public static EventTimeSessionWindows withGap(Time size) {
        return new EventTimeSessionWindows(size.toMilliseconds());
    }

    /**
     * Creates a new {@code SessionWindows} {@link WindowAssigner} that assigns
     * elements to sessions based on the element timestamp.
     *
     * @param sessionWindowTimeGapExtractor The extractor to use to extract the time gap from the input elements
     * @return The policy.
     */
    @PublicEvolving
    public static <T> DynamicEventTimeSessionWindows<T> withDynamicGap(SessionWindowTimeGapExtractor<T> sessionWindowTimeGapExtractor) {
        return new DynamicEventTimeSessionWindows<>(sessionWindowTimeGapExtractor);
    }

    @Override
    public TypeSerializer<TimeWindow> getWindowSerializer(ExecutionConfig executionConfig) {
        return new TimeWindow.Serializer();
    }

    @Override
    public boolean isEventTime() {
        return true;
    }

    /**
     * Merge overlapping {@link TimeWindow}s.
     */
    public void mergeWindows(Collection<TimeWindow> windows, MergingWindowAssigner.MergeCallback<TimeWindow> c) {
        TimeWindow.mergeWindows(windows, c);
    }

}
  • EventTimeSessionWindows继承了MergingWindowAssigner,它的构造器参数为sessionTimeout;assignWindows方法返回的TimeWindow的start为timestamp,end为timestamp + sessionTimeout
  • getDefaultTrigger方法返回的是EventTimeTrigger;getWindowSerializer返回的是TimeWindow.Serializer();isEventTime返回的为true;mergeWindows方法调用的是TimeWindow.mergeWindows方法
  • EventTimeSessionWindows定义了两个静态工厂方法,分别是withGap及withDynamicGap,其中withGap创建的是EventTimeSessionWindows,withDynamicGap创建的是DynamicEventTimeSessionWindows

ProcessingTimeSessionWindows

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

public class ProcessingTimeSessionWindows extends MergingWindowAssigner<Object, TimeWindow> {
    private static final long serialVersionUID = 1L;

    protected long sessionTimeout;

    protected ProcessingTimeSessionWindows(long sessionTimeout) {
        if (sessionTimeout <= 0) {
            throw new IllegalArgumentException("ProcessingTimeSessionWindows parameters must satisfy 0 < size");
        }

        this.sessionTimeout = sessionTimeout;
    }

    @Override
    public Collection<TimeWindow> assignWindows(Object element, long timestamp, WindowAssignerContext context) {
        long currentProcessingTime = context.getCurrentProcessingTime();
        return Collections.singletonList(new TimeWindow(currentProcessingTime, currentProcessingTime + sessionTimeout));
    }

    @Override
    public Trigger<Object, TimeWindow> getDefaultTrigger(StreamExecutionEnvironment env) {
        return ProcessingTimeTrigger.create();
    }

    @Override
    public String toString() {
        return "ProcessingTimeSessionWindows(" + sessionTimeout + ")";
    }

    /**
     * Creates a new {@code SessionWindows} {@link WindowAssigner} that assigns
     * elements to sessions based on the element timestamp.
     *
     * @param size The session timeout, i.e. the time gap between sessions
     * @return The policy.
     */
    public static ProcessingTimeSessionWindows withGap(Time size) {
        return new ProcessingTimeSessionWindows(size.toMilliseconds());
    }

    /**
     * Creates a new {@code SessionWindows} {@link WindowAssigner} that assigns
     * elements to sessions based on the element timestamp.
     *
     * @param sessionWindowTimeGapExtractor The extractor to use to extract the time gap from the input elements
     * @return The policy.
     */
    @PublicEvolving
    public static <T> DynamicProcessingTimeSessionWindows<T> withDynamicGap(SessionWindowTimeGapExtractor<T> sessionWindowTimeGapExtractor) {
        return new DynamicProcessingTimeSessionWindows<>(sessionWindowTimeGapExtractor);
    }

    @Override
    public TypeSerializer<TimeWindow> getWindowSerializer(ExecutionConfig executionConfig) {
        return new TimeWindow.Serializer();
    }

    @Override
    public boolean isEventTime() {
        return false;
    }

    /**
     * Merge overlapping {@link TimeWindow}s.
     */
    public void mergeWindows(Collection<TimeWindow> windows, MergeCallback<TimeWindow> c) {
        TimeWindow.mergeWindows(windows, c);
    }

}
  • ProcessingTimeSessionWindows继承了MergingWindowAssigner,它的构造器参数为sessionTimeout;assignWindows方法返回的TimeWindow的start为currentProcessingTime(这里currentProcessingTime值为context.getCurrentProcessingTime()),end为currentProcessingTime + sessionTimeout
  • getDefaultTrigger方法返回的是ProcessingTimeTrigger;getWindowSerializer返回的是TimeWindow.Serializer();isEventTime返回的为false;mergeWindows方法调用的是TimeWindow.mergeWindows方法
  • ProcessingTimeSessionWindows定义了两个静态工厂方法,分别是withGap及withDynamicGap,其中withGap创建的是ProcessingTimeSessionWindows,withDynamicGap创建的是DynamicProcessingTimeSessionWindows

SessionWindowTimeGapExtractor

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

@PublicEvolving
public interface SessionWindowTimeGapExtractor<T> extends Serializable {
    /**
     * Extracts the session time gap.
     * @param element The input element.
     * @return The session time gap in milliseconds.
     */
    long extract(T element);
}
  • SessionWindowTimeGapExtractor接口定义了extract方法,用于从element中提取sessionTimeout参数

DynamicEventTimeSessionWindows

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

@PublicEvolving
public class DynamicEventTimeSessionWindows<T> extends MergingWindowAssigner<T, TimeWindow> {
    private static final long serialVersionUID = 1L;

    protected SessionWindowTimeGapExtractor<T> sessionWindowTimeGapExtractor;

    protected DynamicEventTimeSessionWindows(SessionWindowTimeGapExtractor<T> sessionWindowTimeGapExtractor) {
        this.sessionWindowTimeGapExtractor = sessionWindowTimeGapExtractor;
    }

    @Override
    public Collection<TimeWindow> assignWindows(T element, long timestamp, WindowAssignerContext context) {
        long sessionTimeout = sessionWindowTimeGapExtractor.extract(element);
        if (sessionTimeout <= 0) {
            throw new IllegalArgumentException("Dynamic session time gap must satisfy 0 < gap");
        }
        return Collections.singletonList(new TimeWindow(timestamp, timestamp + sessionTimeout));
    }

    @SuppressWarnings("unchecked")
    @Override
    public Trigger<T, TimeWindow> getDefaultTrigger(StreamExecutionEnvironment env) {
        return (Trigger<T, TimeWindow>) EventTimeTrigger.create();
    }

    @Override
    public String toString() {
        return "DynamicEventTimeSessionWindows()";
    }

    /**
     * Creates a new {@code SessionWindows} {@link WindowAssigner} that assigns
     * elements to sessions based on the element timestamp.
     *
     * @param sessionWindowTimeGapExtractor The extractor to use to extract the time gap from the input elements
     * @return The policy.
     */
    public static <T> DynamicEventTimeSessionWindows<T> withDynamicGap(SessionWindowTimeGapExtractor<T> sessionWindowTimeGapExtractor) {
        return new DynamicEventTimeSessionWindows<>(sessionWindowTimeGapExtractor);
    }

    @Override
    public TypeSerializer<TimeWindow> getWindowSerializer(ExecutionConfig executionConfig) {
        return new TimeWindow.Serializer();
    }

    @Override
    public boolean isEventTime() {
        return true;
    }

    /**
     * Merge overlapping {@link TimeWindow}s.
     */
    public void mergeWindows(Collection<TimeWindow> windows, MergeCallback<TimeWindow> c) {
        TimeWindow.mergeWindows(windows, c);
    }

}
  • DynamicEventTimeSessionWindows也继承了MergingWindowAssigner,与EventTimeSessionWindows不同的是,它的构造器参数为SessionWindowTimeGapExtractor
  • assignWindows方法首先使用sessionWindowTimeGapExtractor从element中提取sessionTimeout,然后返回TimeWindow(timestamp, timestamp + sessionTimeout);getDefaultTrigger方法返回的是EventTimeTrigger;isEventTime返回的为true;mergeWindows方法调用的是TimeWindow.mergeWindows方法
  • DynamicEventTimeSessionWindows定义了withDynamicGap的静态工厂方法,用于创建DynamicEventTimeSessionWindows

DynamicProcessingTimeSessionWindows

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

@PublicEvolving
public class DynamicProcessingTimeSessionWindows<T> extends MergingWindowAssigner<T, TimeWindow> {
    private static final long serialVersionUID = 1L;

    protected SessionWindowTimeGapExtractor<T> sessionWindowTimeGapExtractor;

    protected DynamicProcessingTimeSessionWindows(SessionWindowTimeGapExtractor<T> sessionWindowTimeGapExtractor) {
        this.sessionWindowTimeGapExtractor = sessionWindowTimeGapExtractor;
    }

    @Override
    public Collection<TimeWindow> assignWindows(T element, long timestamp, WindowAssignerContext context) {
        long currentProcessingTime = context.getCurrentProcessingTime();
        long sessionTimeout = sessionWindowTimeGapExtractor.extract(element);
        if (sessionTimeout <= 0) {
            throw new IllegalArgumentException("Dynamic session time gap must satisfy 0 < gap");
        }
        return Collections.singletonList(new TimeWindow(currentProcessingTime, currentProcessingTime + sessionTimeout));
    }

    @SuppressWarnings("unchecked")
    @Override
    public Trigger<T, TimeWindow> getDefaultTrigger(StreamExecutionEnvironment env) {
        return (Trigger<T, TimeWindow>) ProcessingTimeTrigger.create();
    }

    @Override
    public String toString() {
        return "DynamicProcessingTimeSessionWindows()";
    }

    /**
     * Creates a new {@code SessionWindows} {@link WindowAssigner} that assigns
     * elements to sessions based on the element timestamp.
     *
     * @param sessionWindowTimeGapExtractor The extractor to use to extract the time gap from the input elements
     * @return The policy.
     */
    public static <T> DynamicProcessingTimeSessionWindows<T> withDynamicGap(SessionWindowTimeGapExtractor<T> sessionWindowTimeGapExtractor) {
        return new DynamicProcessingTimeSessionWindows<>(sessionWindowTimeGapExtractor);
    }

    @Override
    public TypeSerializer<TimeWindow> getWindowSerializer(ExecutionConfig executionConfig) {
        return new TimeWindow.Serializer();
    }

    @Override
    public boolean isEventTime() {
        return false;
    }

    /**
     * Merge overlapping {@link TimeWindow}s.
     */
    public void mergeWindows(Collection<TimeWindow> windows, MergeCallback<TimeWindow> c) {
        TimeWindow.mergeWindows(windows, c);
    }

}
  • DynamicProcessingTimeSessionWindows也继承了MergingWindowAssigner,与ProcessingTimeSessionWindows不同的是,它的构造器参数为SessionWindowTimeGapExtractor
  • assignWindows方法首先使用sessionWindowTimeGapExtractor从element中提取sessionTimeout,然后返回TimeWindow(currentProcessingTime, currentProcessingTime + sessionTimeout)(这里currentProcessingTime的值为context.getCurrentProcessingTime());getDefaultTrigger方法返回的是ProcessingTimeTrigger;isEventTime返回的为false;mergeWindows方法调用的是TimeWindow.mergeWindows方法
  • DynamicProcessingTimeSessionWindows定义了withDynamicGap的静态工厂方法,用于创建DynamicProcessingTimeSessionWindows

小结

  • flink的session window主要有EventTimeSessionWindows、DynamicEventTimeSessionWindows、ProcessingTimeSessionWindows、DynamicProcessingTimeSessionWindows,它们都继承了MergingWindowAssigner;MergingWindowAssigner定义了mergeWindows抽象方法
  • EventTimeSessionWindows与ProcessingTimeSessionWindows的构造器参数都是sessionTimeout,不同的是,assignWindows中,ProcessingTimeSessionWindows使用context.getCurrentProcessingTime()替代了方法timestamp参数来计算TimeWindow;getDefaultTrigger方法前者返回EventTimeTrigger,后者返回ProcessingTimeTrigger;isEventTime方法前者返回true,后者返回false
  • DynamicEventTimeSessionWindows与DynamicProcessingTimeSessionWindows,它们与非dynamic的区别是,它们的构造器参数为SessionWindowTimeGapExtractor;SessionWindowTimeGapExtractor接口定义了extract方法,用于从element中提取sessionTimeout参数;而非dynamic的session window,其sessionTimeout参数在构造器传入之后就固定了

doc

  • Session Windows

原文发布于微信公众号 - 码匠的流水账(geek_luandun)

原文发表时间:2019-01-04

本文参与腾讯云自媒体分享计划,欢迎正在阅读的你也加入,一起分享。

发表于

我来说两句

0 条评论
登录 后参与评论

扫码关注云+社区

领取腾讯云代金券