java flink之eventTime和window

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.java.tuple.Tuple;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.TimeCharacteristic;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.*;
import org.apache.flink.streaming.api.environment.*;
import org.apache.flink.streaming.api.functions.timestamps.*;
import org.apache.flink.streaming.api.windowing.assigners.*;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.omg.PortableInterceptor.SYSTEM_EXCEPTION;


/**
 * # _*_ coding:utf-8 _*_
 * # Author:xiaoshubiao
 * # Time : 2020/5/21 14:37
 **/
public class event_watermaker {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment executionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment();
        executionEnvironment.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
        DataStreamSource<String> localhost = executionEnvironment.socketTextStream("localhost", 9999);
        SingleOutputStreamOperator<String> stringSingleOutputStreamOperator = localhost.assignTimestampsAndWatermarks(
                new BoundedOutOfOrdernessTimestampExtractor<String>(Time.milliseconds(0)) {
                    @Override
                    public long extractTimestamp(String s) {
                        System.out.println("event_time输出" +s);
                        return Integer.valueOf(s.split(" ")[0]);
                    }
                }
        );
        KeyedStream<Tuple2<String, Integer>, Tuple> tuple2TupleKeyedStream = stringSingleOutputStreamOperator.map(
                new MapFunction<String, Tuple2<String, Integer>>() {
                    @Override
                    public Tuple2<String, Integer> map(String s) throws Exception {
                        System.out.println("map转换输出" + s);
                        return new Tuple2<>(s.split(" ")[1], 1);
                    }
                }
        ).keyBy(0);
        tuple2TupleKeyedStream.window(TumblingEventTimeWindows.of(Time.seconds(5))).reduce(
                new ReduceFunction<Tuple2<String, Integer>>() {
                    @Override
                    public Tuple2<String, Integer> reduce(Tuple2<String, Integer> t0, Tuple2<String, Integer> t1) throws Exception {

                        return new Tuple2<String, Integer>(t0.f0,t0.f1+t1.f1);
                    }
                }
        ).print();
        executionEnvironment.execute();
    }
}