Spring Boot 配置 MyBatis Redis 二级缓
MyBatis 缓存介绍
一级缓存
MyBatis 会在表示会话的 SqlSession
对象中建立一个简单的缓存,将每次查询到的结果结果缓存起来,当下次查询的时候,如果判断先前有个完全一样的查询,会直接从缓存中直接将结果取出,返回给用户,不需要再进行一次数据库查询了。
一级缓存是 SqlSession
级别的缓存。在操作数据库时需要构造 sqlSession 对象,在对象中有一个(内存区域)数据结构(HashMap)用于存储缓存数据。不同的 sqlSession 之间的缓存数据区域(HashMap)是互相不影响的。其作用域是同一个 SqlSession,在同一个 sqlSession 中两次执行相同的 sql 语句,第一次执行完毕会将数据库中查询的数据写到缓存(内存),第二次会从缓存中获取数据将不再从数据库查询,从而提高查询效率。当一个 sqlSession 结束后该 sqlSession 中的一级缓存也就不存在了。Mybatis 默认开启一级缓存。
二级缓存
二级缓存是 mapper 级别的缓存,多个 SqlSession
去操作同一个 Mapper 的 sql 语句,多个 SqlSession 去操作数据库得到数据会存在二级缓存区域,多个 SqlSession 可以共用二级缓存,二级缓存是跨 SqlSession 的。其作用域是 mapper 的同一个 namespace
,不同的 sqlSession 两次执行相同 namespace 下的 sql 语句且向 sql 中传递参数也相同即最终执行相同的 sql 语句,第一次执行完毕会将数据库中查询的数据写到缓存(内存),第二次会从缓存中获取数据将不再从数据库查询,从而提高查询效率。Mybatis 默认没有开启二级缓存需要在 setting 全局参数中配置开启二级缓存。
配置 MyBatis 二级缓存
Spring Boot 中开启 MyBatis 二级缓存
以 yb-service-user-provider
项目为例,完整配置如下:
# Spring boot application
spring:
application:
name: yb-service-user-provider
datasource:
druid:
url: jdbc:mysql://192.168.10.131:3306/yb?useUnicode=true&characterEncoding=utf-8&useSSL=false
username: root
password: 123456
initial-size: 1
min-idle: 1
max-active: 20
test-on-borrow: true
driver-class-name: com.mysql.cj.jdbc.Driver
redis:
lettuce:
pool:
max-active: 8
max-idle: 8
max-wait: -1ms
min-idle: 0
sentinel:
master: mymaster
nodes: 192.168.10.131:26379, 192.168.10.131:26380, 192.168.10.131:26381
server:
port: 8501
# MyBatis Config properties
mybatis:
configuration:
cache-enabled: true
type-aliases-package: com.test.yb.commons.domain
mapper-locations: classpath:mapper/*.xml
# Services Versions
services:
versions:
redis:
v1: 1.0.0
user:
v1: 1.0.0
# Dubbo Config properties
dubbo:
## Base packages to scan Dubbo Component:@com.alibaba.dubbo.config.annotation.Service
scan:
basePackages: com.test.yb.service.user.provider.api.impl
## ApplicationConfig Bean
application:
id: yb-service-user-provider
name: yb-service-user-provider
qos-port: 22222
qos-enable: true
## ProtocolConfig Bean
protocol:
id: dubbo
name: dubbo
port: 20881
status: server
serialization: kryo
## RegistryConfig Bean
registry:
id: zookeeper
address: zookeeper://192.168.10.131:2181?backup=192.168.10.131:2182,192.168.10.131:2183
# Enables Dubbo All Endpoints
management:
endpoint:
dubbo:
enabled: true
dubbo-shutdown:
enabled: true
dubbo-configs:
enabled: true
dubbo-services:
enabled: true
dubbo-references:
enabled: true
dubbo-properties:
enabled: true
# Dubbo Health
health:
dubbo:
status:
## StatusChecker Name defaults (default : "memory", "load" )
defaults: memory
## StatusChecker Name extras (default : empty )
extras: load,threadpool
logging:
level.com.test.yb.commons.mapper: DEBUG
主要增加了如下配置:
- MyBaits 二级缓存配置
mybatis:
configuration:
cache-enabled: true
- Redis 配置
spring:
redis:
lettuce:
pool:
max-active: 8
max-idle: 8
max-wait: -1ms
min-idle: 0
sentinel:
master: mymaster
nodes: 192.168.10.131:26379, 192.168.10.131:26380, 192.168.10.131:26381
实体类实现序列化接口并声明序列号
private static final long serialVersionUID = 8289770415244673535L;
实现 MyBatis Cache 接口,自定义缓存为 Redis
为了增加通用性,请在 myshop-commons-mapper
项目中创建一个名为 RedisCache
的工具类,代码如下:
package com.test.yb.commons.utils;
import org.apache.ibatis.cache.Cache;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
/**
* Redis 缓存工具类
* <p>Title: RedisCache</p>
* <p>Description: </p>
*
*/
public class RedisCache implements Cache {
private static final Logger logger = LoggerFactory.getLogger(RedisCache.class);
private final ReadWriteLock readWriteLock = new ReentrantReadWriteLock();
private final String id; // cache instance id
private RedisTemplate redisTemplate;
private static final long EXPIRE_TIME_IN_MINUTES = 30; // redis过期时间
public RedisCache(String id) {
if (id == null) {
throw new IllegalArgumentException("Cache instances require an ID");
}
this.id = id;
}
@Override
public String getId() {
return id;
}
/**
* Put query result to redis
*
* @param key
* @param value
*/
@Override
public void putObject(Object key, Object value) {
try {
RedisTemplate redisTemplate = getRedisTemplate();
ValueOperations opsForValue = redisTemplate.opsForValue();
opsForValue.set(key, value, EXPIRE_TIME_IN_MINUTES, TimeUnit.MINUTES);
logger.debug("Put query result to redis");
} catch (Throwable t) {
logger.error("Redis put failed", t);
}
}
/**
* Get cached query result from redis
*
* @param key
* @return
*/
@Override
public Object getObject(Object key) {
try {
RedisTemplate redisTemplate = getRedisTemplate();
ValueOperations opsForValue = redisTemplate.opsForValue();
logger.debug("Get cached query result from redis");
// System.out.println("****" + opsForValue.get(key).toString());
return opsForValue.get(key);
} catch (Throwable t) {
logger.error("Redis get failed, fail over to db", t);
return null;
}
}
/**
* Remove cached query result from redis
*
* @param key
* @return
*/
@Override
@SuppressWarnings("unchecked")
public Object removeObject(Object key) {
try {
RedisTemplate redisTemplate = getRedisTemplate();
redisTemplate.delete(key);
logger.debug("Remove cached query result from redis");
} catch (Throwable t) {
logger.error("Redis remove failed", t);
}
return null;
}
/**
* Clears this cache instance
*/
@Override
public void clear() {
RedisTemplate redisTemplate = getRedisTemplate();
redisTemplate.execute((RedisCallback) connection -> {
connection.flushDb();
return null;
});
logger.debug("Clear all the cached query result from redis");
}
/**
* This method is not used
*
* @return
*/
@Override
public int getSize() {
return 0;
}
@Override
public ReadWriteLock getReadWriteLock() {
return readWriteLock;
}
private RedisTemplate getRedisTemplate() {
if (redisTemplate == null) {
redisTemplate = ApplicationContextHolder.getBean("redisTemplate");
}
return redisTemplate;
}
}
Mapper 接口中增加注解
在 Mapper 接口中增加 @CacheNamespace(implementation = RedisCache.class)
注解,声明需要使用二级缓存
package com.test.yb.commons.mapper;
import com.test.yb.commons.domain.TbUser;
import com.test.yb.commons.utils.RedisCache;
import org.apache.ibatis.annotations.CacheNamespace;
import tk.mybatis.mapper.MyMapper;
@CacheNamespace(implementation = RedisCache.class)
public interface TbUserMapper extends MyMapper<TbUser> {}
附:IDEA 生成序列号的方法
- 使用
GenerateSerialVersionUID
插件生成,安装完插件后在实现了序列化接口的类中使用快捷键alt + insert
即可呼出生成菜单
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- IDEA 提示生成序列号
默认情况下 Intellij IDEA 不会提示继承了 Serializable 接口的类生成 serialVersionUID 的警告。如果需要生成 serialVersionUID,需要手动配置。
File -> Settings -> Inspections -> Serialization issues -> Serialization class without ‘serialVersionUID’