大数据-玩转数据-Flink RedisSink

一、添加Redis Connector依赖

具体版本根据实际情况确定

<dependency><groupId>org.apache.flink</groupId><artifactId>flink-connector-redis_2.11</artifactId><version>1.1.5</version>
</dependency>

二、启动redis

参见大数据-玩转数据-Redis 安装与使用

三、编写代码

package com.lyh.flink06;import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.environment.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;
import org.apache.flink.streaming.connectors.redis.common.mapper.RedisCommandDescription;
import org.apache.flink.streaming.connectors.redis.common.mapper.RedisMapper;public class SinkRedis {public static void main(String[] args) throws Exception {StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();env.setParallelism(2);DataStreamSource<Integer> dataStreamSource = env.fromElements(1, 2, 3, 4, 5, 6);KeyedStream<Integer, Integer> keyedStream = dataStreamSource.keyBy(new KeySelector<Integer, Integer>() {@Overridepublic Integer getKey(Integer key) throws Exception {return key.intValue();}});FlinkJedisPoolConfig conf = new FlinkJedisPoolConfig.Builder().setHost("hadoop100").setPort(6379).setMaxTotal(100).setMaxIdle(10).setMinIdle(2).setTimeout(10*1000).setDatabase(0).setPassword("redis").build();keyedStream.addSink(new RedisSink<>(conf, new RedisMapper<Integer>() {@Overridepublic RedisCommandDescription getCommandDescription() {return new RedisCommandDescription(RedisCommand.SET);}@Overridepublic String getKeyFromData(Integer integer) {return integer.toString();}@Overridepublic String getValueFromData(Integer integer) {return integer.toString();}}));env.execute();}
}

可以根据要写入的redis的不同数据类型进行调整

四、查询结果