SpringBoot集成Redis主从架构实现读写分离（哨兵模式）

一、前言

这里会使用到spring-boot-starter-data-redis包，spring boot 2的spring-boot-starter-data-redis中，默认使用的是lettuce作为redis客户端，也推荐使用lettuce，Redis使用哨兵集群，这里会通过lettuce连接到哨兵获取对应Redis节点地址从而操作Redis。

Redis主从复制哨兵模式部署：https://blog.csdn.net/weixin_44606481/article/details/133990331

二、集成配置

工程结构

2.1、POM

<parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.3.12.RELEASE</version></parent><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter</artifactId></dependency><!--springboot中的redis依赖--><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId></dependency><!-- lettuce pool 缓存连接池--><dependency><groupId>org.apache.commons</groupId><artifactId>commons-pool2</artifactId></dependency><!-- 使用jackson作为redis数据序列化 --><dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId><version>2.11.4</version></dependency><!-- SpringBoot测试包 --><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency></dependencies>

2.2、添加配置文件application.yml

因为我们用的spring-boot-starter-data-redis包会自动配置redis连接，在配置文件中添加对应配置即可

spring:#redis配置信息redis:sentinel:# 主节点名称 在哨兵配置文件中配置的master: mymaster# 哨兵ip地址和端口 有多个哨兵就填多个，只填一个其实也能使用nodes:- 10.0.20.13:26379- 10.0.20.13:26380- 10.0.20.13:26381## Redis数据库索引（默认为0）database: 0## Redis服务连接密码（默认为空）password: 123456## 连接超时时间（毫秒）timeout: 5000lettuce:pool:## 连接池最大连接数（使用负值表示没有限制）max-active: 8## 连接池最大阻塞等待时间（使用负值表示没有限制）max-wait: -1## 连接池中的最大空闲连接max-idle: 8## 连接池中的最小空闲连接min-idle: 1shutdown-timeout: 1000ms# 打印lettuce debug日志，方便查看读写分离效果logging:pattern:console: '%date{yyyy-MM-dd HH:mm:ss.SSS} | %highlight(%5level) [%green(%16.16thread)] %clr(%-50.50logger{49}){cyan} %4line -| %highlight(%msg%n)'level:root: infoio.lettuce.core: debugorg.springframework.data.redis: debug

2.3、编写配置文件

import com.fasterxml.jackson.annotation.JsonAutoDetect;import com.fasterxml.jackson.annotation.PropertyAccessor;import com.fasterxml.jackson.databind.ObjectMapper;import io.lettuce.core.ReadFrom;import org.apache.commons.pool2.impl.GenericObjectPoolConfig;import org.springframework.boot.autoconfigure.data.redis.RedisProperties;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.data.redis.connection.RedisConnectionFactory;import org.springframework.data.redis.connection.RedisSentinelConfiguration;import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;import org.springframework.data.redis.core.*;import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;import org.springframework.data.redis.serializer.StringRedisSerializer;import java.util.HashSet;@Configurationpublic class RedisConfig{/** * 配置读写分离 */@Beanpublic RedisConnectionFactory lettuceConnectionFactory(RedisProperties redisProperties) {// 配置哨兵节点以及主节点RedisSentinelConfiguration redisSentinelConfiguration = new RedisSentinelConfiguration(redisProperties.getSentinel().getMaster(), new HashSet<>(redisProperties.getSentinel().getNodes()));// 配置读写分离LettucePoolingClientConfiguration lettuceClientConfiguration = LettucePoolingClientConfiguration.builder().poolConfig(getPoolConfig(redisProperties.getLettuce().getPool()))// ReadFrom.REPLICA_PREFERRED 优先读取从节点,如果从节点不可用,则读取主节点.readFrom(ReadFrom.REPLICA_PREFERRED).build();return new LettuceConnectionFactory(redisSentinelConfiguration, lettuceClientConfiguration);}private GenericObjectPoolConfig<" />> getPoolConfig(RedisProperties.Pool properties) {GenericObjectPoolConfig<?> config = new GenericObjectPoolConfig<>();config.setMaxTotal(properties.getMaxActive());config.setMaxIdle(properties.getMaxIdle());config.setMinIdle(properties.getMinIdle());if (properties.getTimeBetweenEvictionRuns() != null) {config.setTimeBetweenEvictionRunsMillis(properties.getTimeBetweenEvictionRuns().toMillis());}if (properties.getMaxWait() != null) {config.setMaxWaitMillis(properties.getMaxWait().toMillis());}return config;}/** * retemplate相关配置，配置自定义序列化规则为jackson */@Beanpublic RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {RedisTemplate<String, Object> template = new RedisTemplate<>();// 配置连接工厂template.setConnectionFactory(factory);//使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）Jackson2JsonRedisSerializer jacksonSeial = new Jackson2JsonRedisSerializer(Object.class);ObjectMapper om = new ObjectMapper();// 指定要序列化的域，field,get和set,以及修饰符范围，ANY是都有包括private和publicom.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);// 指定序列化输入的类型，类必须是非final修饰的，final修饰的类，比如String,Integer等会跑出异常om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);jacksonSeial.setObjectMapper(om);// 值采用json序列化template.setValueSerializer(jacksonSeial);//使用StringRedisSerializer来序列化和反序列化redis的key值template.setKeySerializer(new StringRedisSerializer());// 设置hash key 和value序列化模式template.setHashKeySerializer(new StringRedisSerializer());template.setHashValueSerializer(jacksonSeial);template.afterPropertiesSet();return template;}}

2.4、编写启动类

import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplicationpublic class LettuceApplication {public static void main(String[] args) {SpringApplication.run(LettuceApplication.class);}}

2.5、编写测试类测试是否连接成功以及读写分离效果

import org.junit.Test;import org.junit.runner.RunWith;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.boot.test.context.SpringBootTest;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.test.context.junit4.SpringRunner;@RunWith(SpringRunner.class)@SpringBootTest(classes =LettuceApplication.class)public class LettuceTest {@Autowiredprivate RedisTemplate<String,Object> redisTemplate;@Testpublic void t1(){String key = "key1";System.out.println("插入数据到redis");redisTemplate.opsForValue().set(key,"value1");Object value = redisTemplate.opsForValue().get(key);System.out.println("从redis中获取到值为 "+value);Boolean delete = redisTemplate.delete(key);System.out.println("删除redis中值 "+delete);}}