公众号:知识追寻者
知识追寻者(Inheriting the spirit of open source, Spreading technology knowledge;)
pring为我们提供的缓存注解Spring Cache。Spring支持多种缓存技术:RedisCacheManager,EhCacheCacheManager、GuavaCacheManager等,今天的内容是集成RedisCacheManager实现缓存技术;
spring cache 常用注解如下
作用:查询数据加入缓存
参数如下:
作用:修改了数据库的数据,同时更新缓存。
参数如下:
作用:删除数据,删除缓存
参数如下:
springboot 2.1.1
<dependencies>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-data-redisartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-testartifactId>
<scope>testscope>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-webartifactId>
dependency>
<dependency>
<groupId>org.projectlombokgroupId>
<artifactId>lombokartifactId>
<version>1.16.18version>
<scope>providedscope>
dependency>
<dependency>
<groupId>org.postgresqlgroupId>
<artifactId>postgresqlartifactId>
<scope>runtimescope>
dependency>
<dependency>
<groupId>org.mybatis.spring.bootgroupId>
<artifactId>mybatis-spring-boot-starterartifactId>
<version>1.3.0version>
dependency>
dependencies>
主要是 redis 和 数据库 链接配置;如果使用mysql 自行更好 数据库链接驱动和依赖;
server:
port: 9000
spring:
redis:
# Redis服务器地址
host: localhost
#Redis服务器连接端口
port: 6379
#password:
# Redis数据库索引(默认为0)
database: 2
# 连接超时时间(毫秒)
timeout: 5000
jedis:
pool:
#连接池最大连接数(使用负值表示没有限制)
max-active: 100
# 连接池中的最小空闲连接
max-idle: 10
# 连接池最大阻塞等待时间(使用负值表示没有限制)
max-wait: 100000
#数据库配置
datasource:
driverClassName: org.postgresql.Driver
url: jdbc:postgresql://127.0.0.1:5432/springboot
username: postgres
password: 123456
logging:
level:
com.zszxz.cach.mapper : debug
主要是设置 CacheManager
和 redisTemplate
; 并且支持默认key 过期时间,和乱码问题解决;
/**
* @Author lsc
* redis配置
*/
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {
/* *
* @Author lsc
* 自定义生成key的规则
* @Param []
* @Return KeyGenerator
*/
@Override
@Bean
public KeyGenerator keyGenerator() {
return new KeyGenerator() {
@Override
public Object generate(Object o, Method method, Object... objects) {
//格式化缓存key字符串
StringBuilder sb = new StringBuilder();
//追加类名
sb.append(o.getClass().getName());
//追加方法名
sb.append(method.getName());
//遍历参数并且追加
for (Object obj : objects) {
sb.append(obj.toString());
}
return sb.toString();
}
};
}
@Bean
public CacheManager cacheManager(RedisConnectionFactory factory) {
RedisSerializer<String> redisSerializer = new StringRedisSerializer();
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
//解决查询缓存转换异常的问题
ObjectMapper om = new ObjectMapper();
om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om);
// 配置序列化(解决乱码的问题),过期时间120秒
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofSeconds(120))
.serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
.disableCachingNullValues();
RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
.cacheDefaults(config)
.build();
return cacheManager;
}
@Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory connectionFactory) {
// 创建redisTemplate
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(connectionFactory);
// 使用Jackson2JsonRedisSerialize替换默认序列化
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
//set value serializer
redisTemplate.setDefaultSerializer(jackson2JsonRedisSerializer);
// key采用String的序列化方式
redisTemplate.setKeySerializer(new StringRedisSerializer());
// value序列化方式采用jackson
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
// hash的key也采用String的序列化方式
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
// hash的value序列化方式采用jackson
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
}
/* *
* @Author lsc
* 先从缓存中读取,如果没有再从DB获取数据,然后把数据添加到缓存中
* unless 表示条件表达式成立的话不放入缓存
* 如果 设置 ,keyGenerator = "keyGenerator" 就不能设置 key
*
* @Param [user_id]
* @Return com.zszxz.cach.entity.UserEntity
*/
@Override
@Cacheable(cacheNames = "UserEntity", key = "#user_id")
public UserEntity getUser(Long user_id) {
return userMapper.getUser(user_id);
}
/* *
* @Author lsc
* 修改了数据库的数据,同时更新缓存。先调用目标方法,然后缓存方法结果
* @Param [userEntity]
* @Return int
*/
@Override
@CachePut(cacheNames = "UserEntity", key = "#result.user_id")
public UserEntity updateUser(UserEntity userEntity) {
userMapper.updateUser(userEntity);
// 注意,会将缓存更新未参数userEntity里面的值
return userEntity;
}
/* *
* @Author lsc
* allEntries 是否清空所有缓存内容,缺省为 false,如果指定为 true,则方法调用后将立即清空所有缓存
* 指定删除一条缓存
*
* @Param [user_id]
* @Return int
*/
@Override
@CacheEvict(cacheNames = "UserEntity", key = "#user_id")
public int delUser(Long user_id) {
return userMapper.delUser(user_id);
}
测试代码
@Test
public void testGet(){
UserEntity user = userService.getUser(1L);
System.out.println(user);
}
第一次查询控制台会打印SQL,第二次查询不会打印SQL,直接从redis获取
修改缓存的结果是方法的返回值,由于这边式参数直接作为返回值,故参数用户实体的属性必须是全属性,否则查询缓存时会出现多个参数是null,而数据库中有值;比如这边的user_telephone字段;
@Test
public void testPUT(){
UserEntity userEntity = new UserEntity();
userEntity.setUser_id(1L);
userEntity.setUser_name("知识追寻者");
userEntity.setUser_gender("female");
userService.updateUser(userEntity);
}
删除缓存后直接删除指定key的一条缓存;
@Test
public void testDel(){
userService.delUser(1L);
}
有关sping cahe 学习参照如下链接
https://blog.csdn.net/u012240455/article/details/80844361