Flink自定义一个简单source

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import org.apache.flink.streaming.api.functions.windowing.WindowFunction;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;
import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import org.apache.lucene.analysis.CachingTokenFilter;

import java.util.Random;

public class MySelfSourceTest01 {
    public static void main(String[] args) {
        Logger.getLogger("org").setLevel(Level.OFF);
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        DataStreamSource dataStreamSource = env.addSource(new SourceFunction() {
            @Override
            public void run(SourceContext ctx) throws Exception {
                Random random = new Random();

                // 循环可以不停的读取静态数据
                while (true) {
                    int nextInt = random.nextInt(100);
                    ctx.collect("random : " + nextInt);
                    Thread.sleep(1000);
                }
            }

            @Override
            public void cancel() {

            }
        });
        WindowedStream, Tuple, TimeWindow> window = dataStreamSource.map(new MapFunction>() {
            @Override
            public Tuple2 map(String value) throws Exception {
                String[] sps = value.split(":");
                return new Tuple2<>(value, Integer.parseInt(sps[1].trim()));
            }
        }).keyBy(0).timeWindow(Time.seconds(5));

        SingleOutputStreamOperator apply = window.apply(new WindowFunction, String, Tuple, TimeWindow>() {
            @Override
            public void apply(Tuple tuple, TimeWindow window, Iterable> input, Collector out) throws Exception {
                input.forEach(x -> {
                    System.out.println("apply function -> " + x.f0);
                    out.collect(x.f0);
                });
            }
        });

        apply.print();

        try {
            env.execute("myself_source_test01");
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}