mybatis plus使用redis作为二级缓存的方法
建议缓存放到 service 层，你可以自定义自己的 BaseServiceImpl 重写注解父类方法，继承自己的实现。为了方便，这里我们将缓存放到mapper层。mybatis-plus整合redis作为二级缓存与mybatis整合redis略有不同。
1. mybatis-plus开启二级缓存
mybatis-plus.configuration.cache-enabled=true
2. 定义RedisTemplate的bean交给spring管理，这里为了能将对象直接存取到redis中，进行了一些序列化的操作
@Bean(value = "redisTemplate")
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory connectionFactory) {
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(connectionFactory);
//Use Jackson 2Json RedisSerializer to serialize and deserialize the value of redis (default JDK serialization)
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
//将类名称序列化到json串中
objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
//设置输入时忽略JSON字符串中存在而Java对象实际没有的属性
objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
//Use String RedisSerializer to serialize and deserialize the key value of redis
RedisSerializer redisSerializer = new StringRedisSerializer();
//key
redisTemplate.setKeySerializer(redisSerializer);
redisTemplate.setHashKeySerializer(redisSerializer);
//value
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
3. 自定义自己的缓存管理
package com.qctchina.headsetserver.config;
import com.qctchina.headsetserver.util.SpringUtil;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.cache.Cache;
import org.springframework.data.redis.connection.RedisServerCommands;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.util.CollectionUtils;
import java.util.Set;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
/**
* @author shuangyueliao
* @create 2019/9/10 14:02
* @Version 0.1
*/
@Slf4j
public class MybatisRedisCache implements Cache {
// 读写锁
private final ReadWriteLock readWriteLock = new ReentrantReadWriteLock(true);
//这里使用了redis缓存，使用springboot自动注入
private RedisTemplate<String, Object> redisTemplate;
private String id;
public MybatisRedisCache(final String id) {
if (id == null) {
throw new IllegalArgumentException("Cache instances require an ID");
}
this.id = id;
}
@Override
public String getId() {
return this.id;
}
@Override
public void putObject(Object key, Object value) {
if (redisTemplate == null) {
//由于启动期间注入失败，只能运行期间注入，这段代码可以删除
redisTemplate = (RedisTemplate<String, Object>) SpringUtil.getBean("redisTemplate");
}
if (value != null) {
redisTemplate.opsForValue().set(key.toString(), value);
}
}
@Override
public Object getObject(Object key) {
if (redisTemplate == null) {
//由于启动期间注入失败，只能运行期间注入，这段代码可以删除
redisTemplate = (RedisTemplate<String, Object>) SpringUtil.getBean("redisTemplate");
}
try {
if (key != null) {
return redisTemplate.opsForValue().get(key.toString());
}
} catch (Exception e) {
e.printStackTrace();
log.error("缓存出错 ");
}
return null;
}
@Override
public Object removeObject(Object key) {
if (redisTemplate == null) {
//由于启动期间注入失败，只能运行期间注入，这段代码可以删除
redisTemplate = (RedisTemplate<String, Object>) SpringUtil.getBean("redisTemplate");
}
if (key != null) {
redisTemplate.delete(key.toString());
}
return null;
}
@Override
public void clear() {
log.debug("清空缓存");
if (redisTemplate == null) {
redisTemplate = (RedisTemplate<String, Object>) SpringUtil.getBean("redisTemplate");
}
Set<String> keys = redisTemplate.keys("*:" + this.id + "*");
if (!CollectionUtils.isEmpty(keys)) {
redisTemplate.delete(keys);
}
}
@Override
public int getSize() {
if (redisTemplate == null) {
//由于启动期间注入失败，只能运行期间注入，这段代码可以删除
redisTemplate = (RedisTemplate<String, Object>) SpringUtil.getBean("redisTemplate");
}
Long size = redisTemplate.execute((RedisCallback<Long>) RedisServerCommands::dbSize);
return size.intValue();
}
@Override
public ReadWriteLock getReadWriteLock() {
return this.readWriteLock;
}
}
SpringUtil是手动获取bean的工具类
@Component
public class SpringUtil implements ApplicationContextAware {
private static ApplicationContext applicationContext;
@Override
public void setApplicationContext(ApplicationContext applicationContext) throws BeansException {
SpringUtil.applicationContext = applicationContext;
}
public static Object getBean(String name){
return applicationContext.getBean(name);
}
public static <T> T getBean(String name, Class<T> clazz){
return applicationContext.getBean(name, clazz);
}
public static <T> T getBean(Class<T> clazz){
return applicationContext.getBean(clazz);
}
}
4. 在mapper上加上注解@CacheNamespace
@CacheNamespace(implementation= MybatisRedisCache.class,eviction=MybatisRedisCache.class)
public interface CommonMapper extends BaseMapper<Common> {
如果调用该mapper下的方法，那么会使用redis缓存
总结
以上所述是小编给大家介绍的mybatis plus使用redis作为二级缓存的方法,希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对网站的支持！
如果你觉得本文对你有帮助，欢迎转载，烦请注明出处，谢谢！
以上是 mybatis plus使用redis作为二级缓存的方法 的全部内容， 来源链接： utcz.com/z/328359.html
