springboot2.x版本整合redis(单机/集群)(使用lettuce)

在springboot1.x系列中，其中使用的是jedis,但是到了springboot2.x其中使用的是Lettuce。 此处springboot2.x，所以使用的是Lettuce。
关于jedis跟lettuce的区别：

• Lettuce 和 Jedis 的定位都是Redis的client，所以他们当然可以直接连接redis server。
• Jedis在实现上是直接连接的redis server，如果在多线程环境下是非线程安全的，这个时候只有使用连接池，为每个Jedis实例增加物理连接
• Lettuce的连接是基于Netty的，连接实例（StatefulRedisConnection）可以在多个线程间并发访问，应为StatefulRedisConnection是线程安全的，所以一个连接实例（StatefulRedisConnection）就可以满足多线程环境下的并发访问，当然这个也是可伸缩的设计，一个连接实例不够的情况也可以按需增加连接实例。

新建一个springboot工程，添加如下pom依赖。

<dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <!-- redis依赖commons-pool 这个依赖一定要添加 -->
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
        </dependency>

然后在application.yml配置一下redis服务器的地址

server:
  port: 1015
spring:
  redis:
    cache:
      nodes: -192.168.159.129:7001
             -192.168.159.129:7002
             -192.168.159.129:7003
             -192.168.159.129:7004
             -192.168.159.129:7005
             -192.168.159.129:7006
      host: localhost:6379
      password:
      maxIdle:
      minIdle:
      maxTotal:
      maxWaitMillis: 5000

其中nodes为集群redis的参数 host为单机redis的参数

redis配置类：

package webapp.conf;

import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisClusterConfiguration;
import org.springframework.data.redis.connection.RedisNode;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.util.HashSet;
import java.util.Set;

@Configuration
public class RedisConfiguration {
    @Value("${spring.redis.cache.nodes:}")
    private String nodes;
    @Value("${spring.redis.cache.host:}")
    private String host;
    @Value("${spring.redis.cache.password:}")
    private String password;
    @Value("${spring.redis.cache.maxIdle:}")
    private Integer maxIdle;
    @Value("${spring.redis.cache.minIdle:}")
    private Integer minIdle;
    @Value("${spring.redis.cache.maxTotal:}")
    private Integer maxTotal;
    @Value("${spring.redis.cache.maxWaitMillis:}")
    private Long maxWaitMillis;

    @Bean
    LettuceConnectionFactory lettuceConnectionFactory() {
        // 连接池配置
        GenericObjectPoolConfig poolConfig = new GenericObjectPoolConfig();
        poolConfig.setMaxIdle(maxIdle == null ? 8 : maxIdle);
        poolConfig.setMinIdle(minIdle == null ? 1 : minIdle);
        poolConfig.setMaxTotal(maxTotal == null ? 8 : maxTotal);
        poolConfig.setMaxWaitMillis(maxWaitMillis == null ? 5000L : maxWaitMillis);
        LettucePoolingClientConfiguration lettucePoolingClientConfiguration = LettucePoolingClientConfiguration.builder()
                .poolConfig(poolConfig)
                .build();
        // 单机redis
        RedisStandaloneConfiguration redisConfig = new RedisStandaloneConfiguration();
        redisConfig.setHostName(host==null||"".equals(host)?"localhost":host.split(":")[0]);
        redisConfig.setPort(Integer.valueOf(host==null||"".equals(host)?"6379":host.split(":")[1]));
        if (password != null && !"".equals(password)) {
            redisConfig.setPassword(password);
        }

        // 哨兵redis
        // RedisSentinelConfiguration redisConfig = new RedisSentinelConfiguration();

        // 集群redis
        /*RedisClusterConfiguration redisConfig = new RedisClusterConfiguration();
        Set<RedisNode> nodeses = new HashSet<>();
        String[] hostses = nodes.split("-");
        for (String h : hostses) {
            h = h.replaceAll("\s", "").replaceAll("
", "");
            if (!"".equals(h)) {
                String host = h.split(":")[0];
                int port = Integer.valueOf(h.split(":")[1]);
                nodeses.add(new RedisNode(host, port));
            }
        }
        redisConfig.setClusterNodes(nodeses);
        // 跨集群执行命令时要遵循的最大重定向数量
        redisConfig.setMaxRedirects(3);
        redisConfig.setPassword(password);*/

        return new LettuceConnectionFactory(redisConfig, lettucePoolingClientConfiguration);
    }

    @Bean
    public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(lettuceConnectionFactory);
        //序列化类
        MyRedisSerializer myRedisSerializer = new MyRedisSerializer();
        //key序列化方式
        template.setKeySerializer(myRedisSerializer);
        //value序列化
        template.setValueSerializer(myRedisSerializer);
        //value hashmap序列化
        template.setHashValueSerializer(myRedisSerializer);
        return template;
    }

    static class MyRedisSerializer implements RedisSerializer<Object> {

        @Override
        public byte[] serialize(Object o) throws SerializationException {
            return serializeObj(o);
        }

        @Override
        public Object deserialize(byte[] bytes) throws SerializationException {
            return deserializeObj(bytes);
        }

        /**
         * 序列化
         * @param object
         * @return
         */
        private static byte[] serializeObj(Object object) {
            ObjectOutputStream oos = null;
            ByteArrayOutputStream baos = null;
            try {
                baos = new ByteArrayOutputStream();
                oos = new ObjectOutputStream(baos);
                oos.writeObject(object);
                byte[] bytes = baos.toByteArray();
                return bytes;
            } catch (Exception e) {
                throw new RuntimeException("序列化失败!", e);
            }
        }

        /**
         * 反序列化
         * @param bytes
         * @return
         */
        private static Object deserializeObj(byte[] bytes) {
            if (bytes == null){
                return null;
            }
            ByteArrayInputStream bais = null;
            try {
                bais = new ByteArrayInputStream(bytes);
                ObjectInputStream ois = new ObjectInputStream(bais);
                return ois.readObject();
            } catch (Exception e) {
                throw new RuntimeException("反序列化失败!", e);
            }
        }
    }
}    

以上已经完成整合教程，测试案例：

注入：

@Autowired
private RedisTemplate<String, Object> redisTemplate;

添加：

redisTemplate.opsForValue().set(key, value);

添加，设置过期时间：

redisTemplate.opsForValue().set(key, obj, expireTime, TimeUnit.SECONDS);

获取：

Object o = redisTemplate.opsForValue().get(key);

删除：

redisTemplate.delete(key);