Flink 从 0 到 1 学习之（19） Flink 读取Kafka生成的数据，并进行汇总

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

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");