【无标题】flink

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.util.Collector;



pblic class TestFlink(){

       public static void main(String[] args){
            //创建流的执行环境
            StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        
        //	批处理
        DataSet linesDataStreamSource = env.readTextFile("src/main/resources/hello.txt");

        //转换算子
        SingleOutputStreamOperator> wordAndOneTuple= linesDataStreamSource .flatMap((String line, Collector> collector) -> {
            String[] words = line.split(" ");
            for (String word : words) {
                collector.collect(Tuple2.of(word, 1L));
            }
        }).returns(Types.TUPLE(Types.STRING, Types.LONG));

          //分组
    KeyedStream, String> keyedStream = wordAndOneTuple.keyBy(data -> data.f0);

        //求和
        SingleOutputStreamOperator> sum = wordAndOneTuple.sum(1);

       }

}