Flink output to Redis

   1. Code

import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.connectors.redis.RedisSink
import org.apache.flink.streaming.connectors.redis.common.config.FlinkJedisPoolConfig
import org.apache.flink.streaming.connectors.redis.common.mapper.{RedisCommand, RedisCommandDescription, RedisMapper}

//温度传感器读取样例类
case class SensorReading(id: String, timestamp: Long, temperature: Double)

object RedisSinkTest {
  def main(args: Array[String]): Unit = {
    val env = StreamExecutionEnvironment.getExecutionEnvironment
    env.setParallelism(1)

    //source
    val inputStream  = env.readTextFile("sensor1.txt")

    //transform
    org.apache.flink.api.scala._ Import 
    Val Datastream = inputStream.map (X => { 
      Val x.split ARR = ( ",") 
      SensorReading (ARR (0) .trim, ARR (. 1) .trim. toLong, ARR (2) .trim.toDouble) 
    }) 

    // sink 
    Val new new FlinkJedisPoolConfig.Builder the conf = (). The setHost ( "localhost"). setPort (6379) .build () 

    dataStream.addSink (new new RedisSink [SensorReading] (the conf, new new MyRedisMapper)) 

    env.execute ( "sink redis Test") 
  } 
} 

// Mapper redis a class definition, which defines the storage command to the calling redis 
class MyRedisMapper the extends RedisMapper [SensorReading] { 
  the override DEF getCommandDescription: = {RedisCommandDescription 
    // save id and temperature sensor to a hash table: HSET key field value
    new RedisCommandDescription(RedisCommand.HSET, "sensor_temperature")
  }

  //相当于是field
  override def getKeyFromData(data: SensorReading): String = {
    data.id
  }

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

}

2.结果