案例准备：

1、启动Redis
2、启动zookeeper
3、启动Kafka
4、打开IDEA

代码实现：

def main(args: Array[String]): Unit = {
    val env: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment

    val properties = new Properties()
    properties.setProperty("bootstrap.servers","192.168.91.180:9092")
    properties.setProperty("group.id","sensor_group")

    val stream: DataStream[String] =
      env.addSource(new FlinkKafkaConsumer011[String]("sensor",
        new SimpleStringSchema(), properties))

    val dataStream: DataStream[SensorReading] = stream
      .map(value => {
        val arr: Array[String] = value.split(",")
        SensorReading(arr(0), arr(1).toLong, arr(2).toDouble)
      })

    val config: FlinkJedisPoolConfig = new FlinkJedisPoolConfig.Builder()
      .setHost("192.168.91.180")
      .setPort(6379)
      .setMaxIdle(10)
      .setMaxTotal(30).build()
    dataStream.addSink(new RedisSink[SensorReading](config,new MyRedisMapper))

    env.execute()
  }

class MyRedisMapper extends RedisMapper[SensorReading]{
  override def getCommandDescription: RedisCommandDescription = {
    new RedisCommandDescription(RedisCommand.HSET,"sensor_temp")
  }

  override def getKeyFromData(t: SensorReading): String = t.id

  override def getValueFromData(t: SensorReading): String = t.temperature.toString
}

生产者发送信息：

kafka-console-producer.sh --topic sensor–broker-list 192.168.91.180:9092

运行结果：