流式计算 限时活动

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.datastream.DataStream;

public class StreamingJob {
    public static void main(String[] args) throws Exception {
        // 创建流处理环境
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        // 从Socket接收数据
        DataStream<String> text = env.socketTextStream("localhost", 9999);

        // 对数据进行转换和处理
        DataStream<Integer> counts = text
            .flatMap(new Tokenizer())
            .keyBy(0)
            .sum(1);

        // 打印结果
        counts.print();

        // 执行任务
        env.execute("Streaming WordCount");
    }

    // 辅助类，用于分割单词
    public static class Tokenizer implements FlatMapFunction<String, Tuple2<String, Integer>> {
        @Override
        public void flatMap(String value, Collector<Tuple2<String, Integer>> out) {
            for (String word : value.split("\\s")) {
                out.collect(new Tuple2<>(word, 1));
            }
        }
    }
}