shiro使用redis作为缓存
应用场景:Shiro为每个用户的角色和权限信息提供缓存支持,通过Shiro自己定义的CacheManager实现,默认实现有Ehcache和内存(就是一个Map结构),在应用中通常使用redis作为缓存服务器,因此使用redis来作为shiro的缓存。
优缺点:一般来说缓存放在本地,通过本地内存进行缓存速度更快,但是在分布式环境下,修改了用户权限需要进行同步。将缓存和Session放在统一的地方进行管理可以解决,但是网络请求延迟较高,且容易造成瞬间高并发。 代码分析:
1、实现AbstractCacheManager:
import org.apache.shiro.cache.AbstractCacheManager;
import org.apache.shiro.cache.Cache;
import org.apache.shiro.cache.CacheException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
/**
* @author: yykk
**/
@Component
public class MyCacheManager extends AbstractCacheManager {
@Autowired
private MCahce mCahce;
@Override
protected Cache createCache(String name) throws CacheException {
return mCahce;
}
}
2、实现Shiro定义的Cache接口
import lombok.extern.slf4j.Slf4j;
import org.apache.shiro.cache.Cache;
import org.apache.shiro.cache.CacheException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import java.util.Collection;
import java.util.Set;
/**
* @author: yykk
**/
@Slf4j
@Component
public class MCahce<K,V> implements Cache<K,V> {
//redis key
private final K prefix = (K)"shiro_cache";
@Autowired
private RedisTemplate redisTemplate;
public RedisTemplate getRedisTemplate() {
return redisTemplate;
}
public void setRedisTemplate(RedisTemplate redisTemplate) {
this.redisTemplate = redisTemplate;
}
//------------------------
@Override
public V get(K key) throws CacheException {
Object o = redisTemplate.opsForHash().get(prefix,key);
return o == null ? null : (V) o;
}
@Override
public V put(K key, V value) throws CacheException {
V old = this.get(key);
redisTemplate.opsForHash().put(prefix,key,value);
return old;
}
@Override
public V remove(K key) throws CacheException {
V old = this.get(key);
redisTemplate.opsForHash().delete(prefix,key);
return old;
}
@Override
public void clear() throws CacheException {
redisTemplate.delete(prefix);
}
@Override
public int size() {
return redisTemplate.opsForHash().size(prefix).intValue();
}
@Override
public Set<K> keys() {
return redisTemplate.opsForHash().keys(prefix);
}
@Override
public Collection<V> values() {
return redisTemplate.opsForHash().values(prefix);
}
}
3、配置shiro注入缓存管理器:
@bean
public AuthorizingRealm myrealm(CacheManager cacheManager)
{
log.info("myrealm()");
AuthorizingRealm realm = new MyRealm();
realm.setCachingEnabled(true); //开启缓存
realm.setCacheManager(cacheManager); //注入缓存管理器
return realm;
}
4、Redis序列化
-
jdk序列化
-
new JdkSerializationRedisSerializer()
-
-
json序列化
-
GenericJackson2JsonRedisSerializer serializer = new GenericJackson2JsonRedisSerializer();
-
原创文章,作者:ItWorker,如若转载,请注明出处:https://blog.ytso.com/tech/database/279229.html