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

    org.apache.flink</groupId>
    flink-connector-redis_2.11</artifactId>
    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 dataStreamSource = env.fromElements(1, 2, 3, 4, 5, 6);
        KeyedStream, Integer> keyedStream = dataStreamSource.keyBy(new KeySelector, Integer>() {
            @Override
            public 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() {
            @Override
            public RedisCommandDescription getCommandDescription() {
                return new RedisCommandDescription(RedisCommand.SET);
            }

            @Override
            public String getKeyFromData(Integer integer) {
                return integer.toString();
            }

            @Override
            public 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