在SpringBoot中添加Redis及配置方法

2024-07-14 08:42:34

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在实际的开发中，会有这样的场景。有一个微服务需要提供一个查询的服务，但是需要查询的数据库表的数据量十分庞大，查询所需要的时间很长。此时就可以考虑在项目中加入缓存。

引入依赖

在maven项目中引入如下依赖。并且需要在本地安装redis。

<dependency>  <groupId>org.springframework.boot</groupId>  <artifactId>spring-boot-starter-data-redis</artifactId>  <version>2.0.5.RELEASE</version></dependency>

配置redis

在SpringBoot的配置文件中添加如下代码。

redis:  host: 127.0.0.1  port: 6379  timeout: 5000  database: 0  jedis:   pool:    max-idle: 8    max-wait:    min-idle: 0

添加redis配置文件

新建名为RedisConfig的配置类。

import com.fasterxml.jackson.annotation.JsonAutoDetect;import com.fasterxml.jackson.annotation.PropertyAccessor;import com.fasterxml.jackson.databind.ObjectMapper;import org.springframework.cache.CacheManager;import org.springframework.cache.annotation.CachingConfigurerSupport;import org.springframework.cache.annotation.EnableCaching;import org.springframework.cache.interceptor.KeyGenerator;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.data.redis.cache.RedisCacheConfiguration;import org.springframework.data.redis.cache.RedisCacheManager;import org.springframework.data.redis.cache.RedisCacheWriter;import org.springframework.data.redis.connection.RedisConnectionFactory;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.core.StringRedisTemplate;import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;import java.time.Duration;/** * RedisConfig * * @author detectiveHLH * @date 2018-10-11 14:39 **/@Configuration@EnableCachingpublic class RedisConfig extends CachingConfigurerSupport {  @Bean  @Override  public KeyGenerator keyGenerator() {    return (target, method, params) -> {      StringBuilder sb = new StringBuilder();      sb.append(target.getClass().getName());      sb.append(method.getName());      for (Object obj : params) {        sb.append(obj.toString());      }      return sb.toString();    };  }  @Bean  public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory) {    ObjectMapper om = new ObjectMapper();    om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);    om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);    //redis序列化    Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);    jackson2JsonRedisSerializer.setObjectMapper(om);    StringRedisTemplate template = new StringRedisTemplate(factory);    template.setValueSerializer(jackson2JsonRedisSerializer);    template.afterPropertiesSet();    return template;  }  /**   * 自定义CacheManager   */  @Bean  public CacheManager cacheManager(RedisTemplate redisTemplate) {    //全局redis缓存过期时间    RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig().entryTtl(Duration.ofDays(1));    RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisTemplate.getConnectionFactory());    return new RedisCacheManager(redisCacheWriter, redisCacheConfiguration);  }}

添加缓存配置

在项目的service层中的实现类中，添加@Cacheable注解。

import java.util.HashMap;/** * UserLoginServiceImpl * * @author detectiveHLH * @date 2018-10-10 17:20 **/@Servicepublic class UserLoginServiceImpl implements UserLoginService {  @Autowired  private UserLoginMapper userLoginMapper;  @Override  @Cacheable(value = "usercache")  public HashMap getByUserName(String userName) {    System.out.println("此时没有走缓存");    return userLoginMapper.getByUserName(userName);  }}

然后调用一次该接口。就可以在redis中看到如下的key。