Redis 三大客户端

简介
Jedis：是Redis 老牌的Java实现客户端，提供了比较全面的Redis命令的支持，

Redisson：实现了分布式和可扩展的Java数据结构。

Lettuce：高级Redis客户端，用于线程安全同步，异步和响应使用，支持集群，Sentinel，管道和编码器。

优点：
Jedis：比较全面的提供了Redis的操作特性

Redisson：促使使用者对Redis的关注分离，提供很多分布式相关操作服务，例如分布式锁，分布式集合，可通过Redis支持延迟队列

Lettuce：主要在一些分布式缓存框架上使用比较多

可伸缩：
Jedis：使用阻塞的I/O，且其方法调用都是同步的，程序流需要等到sockets处理完I/O才能执行，不支持异步。Jedis客户端实例不是线程安全的，所以需要通过连接池来使用Jedis。

Redisson：基于Netty框架的事件驱动的通信层，其方法调用是异步的。Redisson的API是线程安全的，所以可以操作单个Redisson连接来完成各种操作

Lettuce：基于Netty框架的事件驱动的通信层，其方法调用是异步的。Lettuce的API是线程安全的，所以可以操作单个Lettuce连接来完成各种操作

Lettuce 接入

单机版

配置文件

host: 192.168.131.118
    port: 4884
    password: dsgs548
    database: 0
    # lettuce简单配置
    lettuce:
      pool:
        # 最大活跃链接数 默认8
        max-active: 5
        # 最大空闲连接数 默认8
        max-idle: 10
        # 最小空闲连接数 默认0
        min-idle: 0
@Configuration
public class RedisConfig {
    @Bean
    public RedisTemplate redisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(factory);

        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);

        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        // key采用String的序列化方式
        template.setKeySerializer(stringRedisSerializer);
        // hash的key也采用String的序列化方式
        template.setHashKeySerializer(stringRedisSerializer);
        // value序列化方式采用jackson
        template.setValueSerializer(jackson2JsonRedisSerializer);
        // hash的value序列化方式采用jackson
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();

        return template;
    }
}

集群版+多数据源

spring:
  redis:
    cluster:
      nodes: 192.168.131.118:4883,192.168.131.118:4884,192.168.131.118:4885
#还可以用下面进行配置
#      nodes:
#        - 192.168.131.118:4883
#        - 1192.168.131.118:4884
#        - 192.168.131.118:4885
    password: adfafsas
    lettuce:
      pool:
        # 最大活跃链接数 默认8
        max-active: 5
        # 最大空闲连接数 默认8
        max-idle: 10
        # 最小空闲连接数 默认0
        min-idle: 0
  secondaryRedis:
    cluster:
      nodes: 192.168.131.118:4883,192.168.131.118:4884,192.168.131.118:4885
#      nodes:
#        - 192.168.131.118:4883
#        - 192.168.131.118:4884
#        - 192.168.131.118:4885
    password: advfafasfsa
@Configuration
public class RedisConfig {

    @Autowired
    private Environment environment;
    /**
     * 配置lettuce连接池
     *
     * @return
     */
    @Bean
    @Primary
    @ConfigurationProperties(prefix = "spring.redis.cluster.lettuce.pool")
    public GenericObjectPoolConfig redisPool() {
        return new GenericObjectPoolConfig();
    }

    /**
     * 配置第一个数据源的
     *
     * @return
     */
    @Bean("redisClusterConfig")
    @Primary
    public RedisClusterConfiguration redisClusterConfig() {

        Map<String, Object> source = new HashMap<>(8);
        source.put("spring.redis.cluster.nodes", environment.getProperty("spring.redis.cluster.nodes"));
        RedisClusterConfiguration redisClusterConfiguration;
        redisClusterConfiguration = new RedisClusterConfiguration(new MapPropertySource("RedisClusterConfiguration", source));
        redisClusterConfiguration.setPassword(environment.getProperty("spring.redis.password"));
        return redisClusterConfiguration;

    }

    /**
     * 配置第一个数据源的连接工厂
     * 这里注意：需要添加@Primary 指定bean的名称，目的是为了创建两个不同名称的LettuceConnectionFactory
     *
     * @param redisPool
     * @param redisClusterConfig
     * @return
     */
    @Bean("lettuceConnectionFactory")
    @Primary
    public LettuceConnectionFactory lettuceConnectionFactory(GenericObjectPoolConfig redisPool, @Qualifier("redisClusterConfig") RedisClusterConfiguration redisClusterConfig) {
        LettuceClientConfiguration clientConfiguration = LettucePoolingClientConfiguration.builder().poolConfig(redisPool).build();
        return new LettuceConnectionFactory(redisClusterConfig, clientConfiguration);
    }

    /**
     * 配置第一个数据源的RedisTemplate
     * 注意：这里指定使用名称=factory 的 RedisConnectionFactory
     * 并且标识第一个数据源是默认数据源 @Primary
     *
     * @param redisConnectionFactory
     * @return
     */
    @Bean("redisTemplate")
    @Primary
    public RedisTemplate redisTemplate(@Qualifier("lettuceConnectionFactory") RedisConnectionFactory redisConnectionFactory) {
        return getRedisTemplate(redisConnectionFactory);

    }

    /**
     * 配置第二个数据源
     *
     * @return
     */
    @Bean("secondaryRedisClusterConfig")
    public RedisClusterConfiguration secondaryRedisConfig() {

        Map<String, Object> source = new HashMap<>(8);
        source.put("spring.redis.cluster.nodes", environment.getProperty("spring.secondaryRedis.cluster.nodes"));
        RedisClusterConfiguration redisClusterConfiguration;
        redisClusterConfiguration = new RedisClusterConfiguration(new MapPropertySource("RedisClusterConfiguration", source));
        redisClusterConfiguration.setPassword(environment.getProperty("spring.redis.password"));

        return redisClusterConfiguration;
    }

    @Bean("secondaryLettuceConnectionFactory")
    public LettuceConnectionFactory secondaryLettuceConnectionFactory(GenericObjectPoolConfig redisPool, @Qualifier("secondaryRedisClusterConfig")RedisClusterConfiguration secondaryRedisClusterConfig) {
        LettuceClientConfiguration clientConfiguration = LettucePoolingClientConfiguration.builder().poolConfig(redisPool).build();
        return new LettuceConnectionFactory(secondaryRedisClusterConfig, clientConfiguration);
    }

    /**
     * 配置第一个数据源的RedisTemplate
     * 注意：这里指定使用名称=factory2 的 RedisConnectionFactory
     *
     * @param redisConnectionFactory
     * @return
     */
    @Bean("secondaryRedisTemplate")
    public RedisTemplate secondaryRedisTemplate(@Qualifier("secondaryLettuceConnectionFactory") RedisConnectionFactory redisConnectionFactory) {
        return getRedisTemplate(redisConnectionFactory);
    }

    private RedisTemplate getRedisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(factory);

        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);

        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        // key采用String的序列化方式
        template.setKeySerializer(stringRedisSerializer);
        // hash的key也采用String的序列化方式
        template.setHashKeySerializer(stringRedisSerializer);
        // value序列化方式采用jackson
        template.setValueSerializer(jackson2JsonRedisSerializer);
        // hash的value序列化方式采用jackson
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();

        return template;
    }

}

测试

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.core.env.Environment;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.test.context.junit4.SpringRunner;

@SpringBootTest
@RunWith (SpringRunner.class)
public class RedisTestDemo {
    @Autowired
    RedisTemplate<String, Object> redisTemplate;

    @Autowired
    @Qualifier ("secondaryRedisTemplate")
    RedisTemplate<String, Object> secondaryRedisTemplate;

    @Autowired
    private Environment environment;

    @Test
    public void testEnvironment() {
        String property = environment.getProperty("spring.secondaryRedis.cluster.nodes");
        System.out.println("property = " + property);
        System.out.println("over");
    }

    // 同时设置两个数据源的数据
    @Test
    public void testTemplateSet() {
        redisTemplate.opsForValue().set("key1", "redisTemplate");
        secondaryRedisTemplate.opsForValue().set("key1", "secondaryRedisTemplate");
        System.out.println("over");
    }

    // 同时获取两个数据源的数据
    @Test
    public void testTemplateGet() {
        Object key1 = redisTemplate.opsForValue().get("key1");
        Object key2 = secondaryRedisTemplate.opsForValue().get("key1");
        System.out.println("key1 = " + key1);
        System.out.println("key2 = " + key2);
    }
}


原文链接：https://blog.csdn.net/lonely_bin/article/details/100137626

# redis # spring boot # 缓存
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