本文为redis服务的独立部署，内置到应用服务中同理，仅需要2、3、4三步（根据情况添加）
大致步骤：
详细步骤：
本人很懒，不想写安装，请移步其他道友：
https://www.cnblogs.com/wmy666/p/15148686.html
https://www.runoob.com/redis/redis-install.html
application主类不想改可以不动
配置yml：
spring: #应用名称 application: name: redis-server redis: #redis 数据库的数量 database: 0 #redis端口地址默认是6379（如果没有改redis软件的配置文件的话） host: 127.0.0.1 port: 6379 password: jedis: pool: #最大连接数，设置为0则无限制 max-active: 8 #最大等待毫秒数, 单位为 ms, 超过时间会出错误信息 max-wait: 1 #空闲连接数，没有数据库的连接时依然可以保持连接不清除的个数 max-idle: 9 min-idle: 0 #单位秒，默认为0（永不断开），在timeout时间之后一直没有连接的话断开连接 timeout: 0 #服务端口 server: port: 8911 #注册中心地址 eureka: client: service-url: defaultZone: http://localhost:8900/eureka/ 更改pom
<dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-netflix-eureka-client</artifactId> <version>3.1.0</version> </dependency> <!-- redis 除了这个其他都是独立部署需要的 --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> </dependencies> <dependencyManagement> <dependencies> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-dependencies</artifactId> <version>2021.0.0</version> <type>pom</type> <scope>import</scope> </dependency> </dependencies> </dependencyManagement> import com.fasterxml.jackson.annotation.JsonTypeInfo; import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.autoconfigure.cache.CacheProperties; import org.springframework.cache.annotation.CachingConfigurerSupport; import org.springframework.cache.annotation.EnableCaching; import org.springframework.context.annotation.Configuration; import com.fasterxml.jackson.annotation.JsonAutoDetect; import com.fasterxml.jackson.annotation.PropertyAccessor; import com.fasterxml.jackson.databind.DeserializationFeature; import com.fasterxml.jackson.databind.ObjectMapper; import org.springframework.context.annotation.Bean; import org.springframework.data.redis.cache.RedisCacheConfiguration; import org.springframework.data.redis.connection.RedisConnectionFactory; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.RedisSerializationContext; import org.springframework.data.redis.serializer.StringRedisSerializer; @Configuration @EnableCaching public class RedisConfig extends CachingConfigurerSupport { @Autowired CacheProperties cacheProperties; @Bean public RedisCacheConfiguration redisCacheConfiguration() { RedisCacheConfiguration configuration = RedisCacheConfiguration.defaultCacheConfig(); configuration = configuration.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jsonSerializer())); return configuration; } @Bean public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory) { RedisTemplate<Object, Object> template = new RedisTemplate<>(); template.setConnectionFactory(connectionFactory); template.setValueSerializer(jsonSerializer()); //使用StringRedisSerializer来序列化和反序列化redis的key值 template.setKeySerializer(new StringRedisSerializer()); template.afterPropertiesSet(); return template; } /** 使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值 否则，使用put(Object, Object)存入redis时， redis中的key会变成类似于\xac\xed\x00\x05t\x00\x1IAMAKEY的结构 **/ private Jackson2JsonRedisSerializer jsonSerializer() { Jackson2JsonRedisSerializer serializer = new Jackson2JsonRedisSerializer(Object.class); ObjectMapper mapper = new ObjectMapper(); mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES,false); mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.WRAPPER_ARRAY); serializer.setObjectMapper(mapper); return serializer; } } import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.data.redis.core.ValueOperations; import org.springframework.stereotype.Service; import javax.annotation.Resource; @Service public class RedisService { @Autowired StringRedisTemplate stringRedisTemplate; @Resource(name="stringRedisTemplate") ValueOperations<String, String> valueOptStr; @Autowired RedisTemplate<Object, Object> redisTemplate; @Resource(name = "redisTemplate") ValueOperations<Object, Object> valueOptObj; /** * 根据key获取String * @param key * @return */ public String getStr(String key){ return valueOptStr.get(key); } public void setStr(String key, String val){ valueOptStr.set(key, val); } public void del(String key){ stringRedisTemplate.delete(key); } /** * Object 设置缓存 * @param key * @return */ public Object getObj(Object key){ return valueOptObj.get(key); } public void setObj(Object key, Object val){ valueOptObj.set(key, val); } public void del(Object key){ redisTemplate.delete(key); } } 调用示例：
1、集成在工程服务中的调用
@Autowired RedisService redisService; public String getName(String key){ return redisService.getStr(key); } 2、redis独立部署的调用
需要有一个controller类接收外部请求，并在调用服务那一方（消费者）添加feignclient
详见：SpringBoot集成SpringCloud简要 详细步骤 3