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ProcessWinFunOnWindow
import org.apache.flink.api.java.tuple.Tuple;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.windows.GlobalWindow;
import org.apache.flink.util.Collector;
public class TestProcessWinFunOnWindow {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env=StreamExecutionEnvironment.getExecutionEnvironment();
DataStream> input=env.fromElements(ENGLISH_TRANSCRIPT);
//求各班级英语平均分
DataStream avgScore=input.keyBy(0).countWindow(2).process(new MyProcessWindowFunction());
avgScore.print();
env.execute();
}
/**
* 英语成绩
*/
public static final Tuple3[] ENGLISH_TRANSCRIPT = new Tuple3[] {
Tuple3.of("class1","张三",100L),
Tuple3.of("class1","李四",78L),
Tuple3.of("class1","王五",99L),
Tuple3.of("class2","赵六",81L),
Tuple3.of("class2","钱七",59L),
Tuple3.of("class2","马二",97L)
};
private static class MyProcessWindowFunction
extends ProcessWindowFunction, Double, Tuple, GlobalWindow> {
@Override
public void process(Tuple tuple, Context context, Iterable> elements, Collector out) throws Exception {
long sum=0;
long count = 0;
for (Tuple3 in: elements) {
sum+=in.f2;
count++;
}
//out.collect("Window: " + context.window() + "count: " + count);
out.collect((double) (sum/count));
}
}
}
AggFunctionOnWindow
import org.apache.flink.api.common.functions.AggregateFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
public class TestAggFunctionOnWindow {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env=StreamExecutionEnvironment.getExecutionEnvironment();
DataStream> input=env.fromElements(ENGLISH_TRANSCRIPT);
//求各班级英语平均分
DataStream avgScore=input.
keyBy(0).
countWindow(2).
aggregate(new AverageAggregate());
avgScore.print();
env.execute();
}
/**
* 英语成绩
*/
public static final Tuple3[] ENGLISH_TRANSCRIPT = new Tuple3[] {
Tuple3.of("class1","张三",100L),
Tuple3.of("class1","李四",78L),
Tuple3.of("class1","王五",99L),
Tuple3.of("class2","赵六",81L),
Tuple3.of("class2","钱七",59L),
Tuple3.of("class2","马二",97L)
};
/**
* 求第二个字段的平均值(sum/count)
*/
private static class AverageAggregate
implements AggregateFunction, Tuple2, Double> {
/**
* 创建累加器来保存中间状态(sum和count)
* @return
*/
@Override
public Tuple2 createAccumulator() {
return new Tuple2<>(0L, 0L);
}
/**
* 将元素添加到累加器并返回新的累加器value
* @param value
* @param accumulator
* @return
*/
@Override
public Tuple2 add(Tuple3 value, Tuple2 accumulator) {
//来一个元素计算一下sum和count并保存中间结果到累加器
return new Tuple2<>(accumulator.f0 + value.f2, accumulator.f1 + 1L);
}
/**
* 从累加器提取结果
* @param accumulator
* @return
*/
@Override
public Double getResult(Tuple2 accumulator) {
return ((double) accumulator.f0) / accumulator.f1;
}
@Override
public Tuple2 merge(Tuple2 a, Tuple2 b) {
return new Tuple2<>(a.f0 + b.f0, a.f1 + b.f1);
}
}
}
ReduceFunctionOnWindowAll
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
public class TestReduceFunctionOnWindowAll {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env=StreamExecutionEnvironment.getExecutionEnvironment();
DataStream> input=env.fromElements(ENGLISH_TRANSCRIPT);
//求英语总分
DataStream> totalPoints=input.keyBy(0).countWindow(2).reduce(new ReduceFunction>() {
@Override
public Tuple3 reduce(Tuple3 value1, Tuple3 value2) throws Exception {
return new Tuple3<>(value1.f0, value1.f1 ,value1.f2+value2.f2);
}
});
totalPoints.print();
env.execute();
}
/**
* 语文成绩
*/
public static final Tuple3[] ENGLISH_TRANSCRIPT = new Tuple3[] {
Tuple3.of("class1","张三",100),
Tuple3.of("class1","李四",78),
Tuple3.of("class1","王五",99),
Tuple3.of("class2","赵六",81),
Tuple3.of("class2","钱七",59),
Tuple3.of("class2","马二",97)
};
}
ReduceFunctionOnWindow
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
public class TestReduceFunctionOnWindow {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env=StreamExecutionEnvironment.getExecutionEnvironment();
DataStream> input=env.fromElements(ENGLISH_TRANSCRIPT);
//求各班级英语总分
DataStream> totalPoints=input.keyBy(0).countWindow(2).reduce(new ReduceFunction>() {
@Override
public Tuple3 reduce(Tuple3 value1, Tuple3 value2) throws Exception {
return new Tuple3<>(value1.f0, value1.f1 ,value1.f2+value2.f2);
}
});
totalPoints.print();
env.execute();
}
/**
* 英语成绩
*/
public static final Tuple3[] ENGLISH_TRANSCRIPT = new Tuple3[] {
Tuple3.of("class1","张三",100),
Tuple3.of("class1","李四",78),
Tuple3.of("class1","王五",99),
Tuple3.of("class2","赵六",81),
Tuple3.of("class2","钱七",59),
Tuple3.of("class2","马二",97)
};
}