Flink读取Kafka数据,进行汇总

今天介绍用 Flink 读取Kafka生成的数据,并进行汇总的案例

第一步:环境准备,kafka,flink,zookeeper。我这边是用的CDH环境,kafka跟zookeeper 都安装完毕,并测试可以正常使用

第二步:用kafka创建一个生产者进行消息生产

./kafka-console-producer.sh --broker-list 192.168.58.177:9092 --topic my_topic

  

3.  第三步:在idea里面创建一个flink项目。代码如下:

     StreamExecutionEnvironment Env = StreamExecutionEnvironment.getExecutionEnvironment();

        Properties properties = new Properties();
        properties.setProperty("bootstrap.servers", "192.168.58.177:9092");
        properties.setProperty("zookeeper.connect", "192.168.58.171:2181,192.168.58.177:2181");
        properties.setProperty("group.id", "test");

        FlinkKafkaConsumer<String> myConsumer = new FlinkKafkaConsumer<String>("my_topic",new SimpleStringSchema(),properties);

        myConsumer.setStartFromLatest();
        myConsumer.setStartFromGroupOffsets();


        Env.setParallelism(2).setStreamTimeCharacteristic(TimeCharacteristic.EventTime);

        DataStream<Tuple2<String,Integer>> stream = Env.addSource(myConsumer)
                .flatMap((String lines, Collector<Tuple2<String,Integer>> out) ->
                        Stream.of(lines.split(","))
                        .forEach(a -> out.collect(Tuple2.of(a,1))))
                .returns(Types.TUPLE(Types.STRING,Types.INT))
                .keyBy(0)
                //.window(TumblingEventTimeWindows.of(Time.seconds(5)))
                .sum(1)
                ;

        //stream.writeAsText("C:\\Users\\yaowentao\\Desktop\\a");
        stream.print();
        Env.execute("my first stream flink");

  

第四步:返回kafka进行消息输入,并观察控制台是否有数据输出

 

扫描二维码关注公众号,回复: 9960503 查看本文章

这样就能初步实现 flink读取kafka的消息

猜你喜欢

转载自www.cnblogs.com/yaowentao/p/12523992.html