Flink (三) Flink 编程模型

流式处理WordCount：

public class StreamWordCount {
    public static void main(String[] args) throws Exception {
         //创建一个流处理的执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        //接受socket数据流
        DataStreamSource<String> textDataSteam = env.socketTextStream("localhost",7777);

        //逐一读取数据，打散之后进行WordCount（逻辑计算）
        SingleOutputStreamOperator<Tuple2<String, Integer>> wordCountDataStream = textDataSteam
                .flatMap(new FlatMapFunction<String, Tuple2<String, Integer>>() {
                    public void flatMap(String s, Collector<Tuple2<String, Integer>> collector) throws Exception {
                        String[] tokens = s.split(" ");

                        for (String token : tokens) {
                            if (token.length() > 0) {
                                collector.collect(new Tuple2<String, Integer>(token, 1));
                            }
                        }
                    }
                })
                .filter(new FilterFunction<Tuple2<String, Integer>>() {
                    public boolean filter(Tuple2<String, Integer> stringIntegerTuple2) throws Exception {
                        if (stringIntegerTuple2.equals(null)) {
                            return false;
                        }
                        return true;
                    }
                })
                .keyBy(0)
                .sum(1);

        //打印输出
        wordCountDataStream.print();

        //执行任务
        env.execute("StreamWordCountJob");
        //测试需要开启端口7777

    }
}

整个Flink程序一共分为5步：设定Flink执行环境、创建和加载数据集、对数据集指定转换操作逻辑、指定计算结果输出位置