序
本文主要研究一下flink的window操作
window
DataStream
flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/datastream/DataStream.java
public AllWindowedStream timeWindowAll(Time size) {
if (environment.getStreamTimeCharacteristic() == TimeCharacteristic.ProcessingTime) {
return windowAll(TumblingProcessingTimeWindows.of(size));
} else {
return windowAll(TumblingEventTimeWindows.of(size));
}
}
public AllWindowedStream timeWindowAll(Time size, Time slide) {
if (environment.getStreamTimeCharacteristic() == TimeCharacteristic.ProcessingTime) {
return windowAll(SlidingProcessingTimeWindows.of(size, slide));
} else {
return windowAll(SlidingEventTimeWindows.of(size, slide));
}
}
public AllWindowedStream countWindowAll(long size) {
return windowAll(GlobalWindows.create()).trigger(PurgingTrigger.of(CountTrigger.of(size)));
}
public AllWindowedStream countWindowAll(long size, long slide) {
return windowAll(GlobalWindows.create())
.evictor(CountEvictor.of(size))
.trigger(CountTrigger.of(slide));
}
@PublicEvolving
public AllWindowedStream windowAll(WindowAssigner assigner) {
return new AllWindowedStream<>(this, assigner);
} - 对于非KeyedStream，有timeWindowAll、countWindowAll、windowAll操作，其中最主要的是windowAll操作，它的parallelism为1，它需要一个WindowAssigner参数，返回的是AllWindowedStream
KeyedStream
flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/datastream/KeyedStream.java
public WindowedStream timeWindow(Time size) {
if (environment.getStreamTimeCharacteristic() == TimeCharacteristic.ProcessingTime) {
return window(TumblingProcessingTimeWindows.of(size));
} else {
return window(TumblingEventTimeWindows.of(size));
}
}
public WindowedStream timeWindow(Time size, Time slide) {
if (environment.getStreamTimeCharacteristic() == TimeCharacteristic.ProcessingTime) {
return window(SlidingProcessingTimeWindows.of(size, slide));
} else {
return window(SlidingEventTimeWindows.of(size, slide));
}
}
public WindowedStream countWindow(long size) {
return window(GlobalWindows.create()).trigger(PurgingTrigger.of(CountTrigger.of(size)));
}
public WindowedStream countWindow(long size, long slide) {
return window(GlobalWindows.create())
.evictor(CountEvictor.of(size))
.trigger(CountTrigger.of(slide));
}
@PublicEvolving
public WindowedStream window(WindowAssigner assigner) {
return new WindowedStream<>(this, assigner);
} - 对于KeyedStream除了继承了DataStream的window相关操作，它主要用的是timeWindow、countWindow、window操作，其中最主要的是window操作，它也需要一个WindowAssigner参数，返回的是WindowedStream
WindowedStream
flink-streaming-java_2.11-1.7.0-sources.jar!/org/apache/flink/streaming/api/datastream/WindowedStream.java
@Public
public class WindowedStream {
/** The keyed data stream that is windowed by this stream. */
private final KeyedStream input;
/** The window assigner. */
private final WindowAssigner windowAssigner;
/** The trigger that is used for window evaluation/emission. */
private Trigger trigger;
/** The evictor that is used for evicting elements before window evaluation. */
private Evictor evictor;
/** The user-specified allowed lateness. */
private long allowedLateness = 0L;
/**
* Side output {@code OutputTag} for late data. If no tag is set late data will simply be
* dropped.
*/
private OutputTag lateDataOutputTag;
@PublicEvolving
public WindowedStream(KeyedStream input,
WindowAssigner windowAssigner) {
this.input = input;
this.windowAssigner = windowAssigner;
this.trigger = windowAssigner.getDefaultTrigger(input.getExecutionEnvironment());
}
@PublicEvolving
public WindowedStream trigger(Trigger trigger) {
if (windowAssigner instanceof MergingWindowAssigner && !trigger.canMerge()) {
throw new UnsupportedOperationException("A merging window assigner cannot be used with a trigger that does not support merging.");
}
if (windowAssigner instanceof BaseAlignedWindowAssigner) {
throw new UnsupportedOperationException("Cannot use a " + windowAssigner.getClass().getSimpleName() + " with a custom trigger.");
}
this.trigger = trigger;
return this;
}
@PublicEvolving
public WindowedStream allowedLateness(Time lateness) {
final long millis = lateness.toMilliseconds();
checkArgument(millis >= 0, "The allowed lateness cannot be negative.");
this.allowedLateness = millis;
return this;
}
@PublicEvolving
public WindowedStream sideOutputLateData(OutputTag outputTag) {
Preconditions.checkNotNull(outputTag, "Side output tag must not be null.");
this.lateDataOutputTag = input.getExecutionEnvironment().clean(outputTag);
return this;
}
@PublicEvolving
public WindowedStream evictor(Evictor evictor) {
if (windowAssigner instanceof BaseAlignedWindowAssigner) {
throw new UnsupportedOperationException("Cannot use a " + windowAssigner.getClass().getSimpleName() + " with an Evictor.");
}
this.evictor = evictor;
return this;
}
// ------------------------------------------------------------------------
// Operations on the keyed windows
// ------------------------------------------------------------------------
//......
} - WindowedStream有几个参数，其中构造器要求的是input及windowAssigner参数，然后还有Trigger、Evictor、allowedLateness、OutputTag这几个可选参数；另外还必须设置operation function，主要有ReduceFunction、AggregateFunction、FoldFunction(
废弃)、ProcessWindowFunction这几个 - windowAssigner主要用来决定元素如何划分到window中，这里主要有TumblingEventTimeWindows/TumblingProcessingTimeWindows、SlidingEventTimeWindows/SlidingProcessingTimeWindows、EventTimeSessionWindows/ProcessingTimeSessionWindows、GlobalWindows这几个
- Trigger用来触发window的发射，Evictor用来在发射window的时候剔除元素，allowedLateness用于指定允许元素落后于watermark的最大时间，超出则被丢弃(
仅仅对于event-time window有效)，OutputTag用于将late数据输出到side output，可以通过SingleOutputStreamOperator.getSideOutput(OutputTag)方法来获取
AllWindowedStream的属性/操作基本跟WindowedStream类似，这里就不详细展开
小结
- window操作是处理无限数据流的核心，它将数据流分割为有限大小的buckets，然后就可以在这些有限数据上进行相关的操作。flink的window操作主要分为两大类，一类是针对KeyedStream的window操作，一个是针对non-key stream的windowAll操作
- window操作主要有几个参数，WindowAssigner是必不可少的参数，主要有TumblingEventTimeWindows/TumblingProcessingTimeWindows、SlidingEventTimeWindows/SlidingProcessingTimeWindows、EventTimeSessionWindows/ProcessingTimeSessionWindows、GlobalWindows这几个；另外还必须设置operation function，主要有ReduceFunction、AggregateFunction、FoldFunction(
废弃)、ProcessWindowFunction这几个 - Trigger、Evictor、allowedLateness、OutputTag这几个为可选参数，Trigger用来触发window的发射，Evictor用来在发射window的时候剔除元素，allowedLateness用于指定允许元素落后于watermark的最大时间，超出则被丢弃(
仅仅对于event-time window有效)，OutputTag用于将late数据输出到side output，可以通过SingleOutputStreamOperator.getSideOutput(OutputTag)方法来获取
doc
- Windows