Shiro的缓存交给redis管理

Shiro的缓存交给redis管理

标签（空格分隔）：Shiro redis

前言：

以下方式只是单机版的redis使用

一、导入Shiro和redis的jar

jedis-2.7.3.jar
shiro-core-1.2.3.jar
shiro-ehcache-1.2.3.jar
shiro-spring-1.2.3.jar
shiro-web-1.2.3.jar
slf4j-api-1.7.5.jar
slf4j-log4j12-1.7.5.jar

二、具体实现

JedisUtils工具类

import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;

public class JedisUtils {
private static JedisPool jedisPool;
static {
JedisPoolConfig jedisConfig = new JedisPoolConfig();
jedisConfig.setMaxTotal(100);
jedisConfig.setMaxIdle(10);
jedisConfig.setMaxWaitMillis(100);
//主机名称和端口号，开启redis的服务器和端口号
jedisPool = new JedisPool(jedisConfig, "192.168.0.118", 6379);
}

public static Jedis getJedis() {
return jedisPool.getResource();
}

public static void close(Jedis jedis) {
jedis.close();
}
}

将Shiro的缓存交给redis就需要实现Shiro的Cache接口

import java.io.Serializable;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashSet;
import java.util.List;
import java.util.Set;

import org.apache.commons.lang3.SerializationUtils;
import org.apache.shiro.cache.Cache;
import org.apache.shiro.cache.CacheException;
import redis.clients.jedis.Jedis;

import com.baizhi.util.JedisUtils;

/**
* 自定义redis cache
* @author MOTUI
*
*/
public class ShiroRedisCache<K,V> implements Cache<K,V>{
// shiro cache  key = value
// redis key = value

public Object get(Object key) throws CacheException {

byte[] bs = SerializationUtils.serialize((Serializable)key);

byte[] value = JedisUtils.getJedis().get(bs);

if(value == null){
return null;
}
return SerializationUtils.deserialize(value);
}

/**
* 将shiro的缓存保存到redis中
*/
public Object put(Object key, Object value) throws CacheException {
Jedis jedis = JedisUtils.getJedis();
//序列化   和  反序列化
jedis.set(SerializationUtils.serialize((Serializable)key), SerializationUtils.serialize((Serializable)value));

byte[] bs = jedis.get(SerializationUtils.serialize((Serializable)key));

Object object = SerializationUtils.deserialize(bs);

return object;
}

public Object remove(Object key) throws CacheException {

Jedis jedis = JedisUtils.getJedis();

byte[] bs = jedis.get(SerializationUtils.serialize((Serializable)key));

jedis.del(SerializationUtils.serialize((Serializable)key));

return SerializationUtils.deserialize(bs);
}
/**
* 清空所有缓存
*/
public void clear() throws CacheException {
JedisUtils.getJedis().flushDB();
}

/**
* 缓存的个数
*/
public int size() {

Long size = JedisUtils.getJedis().dbSize();

return size.intValue();
}

/**
* 获取所有的key
*/
public Set keys() {

Set<byte[]> keys = JedisUtils.getJedis().keys(new String("*").getBytes());

Set<Object> set = new HashSet<Object>();

for (byte[] bs : keys) {
set.add(SerializationUtils.deserialize(bs));
}
return set;
}

/**
* 获取所有的value
*/
public Collection values() {

Set keys = this.keys();

List<Object> values = new ArrayList<Object>();

for (Object object : keys) {
byte[] bs = JedisUtils.getJedis().get(SerializationUtils.serialize((Serializable)object));
values.add(SerializationUtils.deserialize(bs));
}
return values;
}
}

自定义CustomCacheManager实现CacheManager

import org.apache.shiro.cache.Cache;
import org.apache.shiro.cache.CacheException;
import org.apache.shiro.cache.CacheManager;

public class CustomCacheManager implements CacheManager{

public <K, V> Cache<K, V> getCache(String name) throws CacheException {

return new ShiroRedisCache<K,V>();
}
}

在Shiro的配置中配置，shiro.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:aop="http://www.springframework.org/schema/aop"
xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:mvc="http://www.springframework.org/schema/mvc"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.2.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-3.2.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.2.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.2.xsd http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc-3.2.xsd ">

<!-- 创建shiroFilterFactoryBean -->
<bean id="shiroFilterFactoryBean" class="org.apache.shiro.spring.web.ShiroFilterFactoryBean">
<!-- 依赖注入安全管理器 -->
<property name="securityManager" ref="securityManager"/>
<!-- 设置默认的登录页面 -->
<property name="loginUrl" value="/xxx/login.jsp"/>
<!-- 用户访问未对其授权的资源时，所显示的连接 -->
<property name="unauthorizedUrl" value="/unauthorizedAndError.jsp"/>
<!-- 指定资源访问权限 -->
<
c0d3
;property name="filterChainDefinitions">
<value>
/** = authc
</value>
</property>
</bean>

<!-- 创建安全管理器 -->
<bean id="securityManager" class="org.apache.shiro.web.mgt.DefaultWebSecurityManager">
<!-- 依赖自定义realms -->
<property name="realm" ref="customerRealm"/>
<!-- 依赖缓存 -->
<property name="cacheManager" ref="cacheManager"/>
</bean>

<!-- 创建自定义的realm -->
<bean id="customerRealm" class="com.baizhi.shiro.realm.CustomerRealm">
<!-- 依赖凭证匹配器 -->
<property name="credentialsMatcher" ref="credentialsMatcher"/>
<!-- 开启认证和授权的缓存 -->
【此处的认证缓存不能开启，原因未知？？】
<!-- <property name="authenticationCachingEnabled" value="true"/>
<property name="authenticationCacheName" value="authentication"/> -->
<property name="authorizationCachingEnabled" value="true"/>
<property name="authorizationCacheName" value="authorization"/>
</bean>
<!-- 创建凭证匹配器 -->
<bean id="credentialsMatcher" class="org.apache.shiro.authc.credential.HashedCredentialsMatcher">
<property name="hashAlgorithmName" value="MD5"/>
<property name="hashIterations" value="1024"/>
</bean>

<!-- 开启权限注解功能 -->
<bean class="org.apache.shiro.spring.security.interceptor.AuthorizationAttributeSourceAdvisor">
<!-- 依赖安全管理器 -->
<property name="securityManager" ref="securityManager"/>
</bean>

<!-- 创建缓存管理器 -->

【自定义的CustomCacheManager】
<!-- redis缓存 -->
<bean id="cacheManager" class="com.xxx.cache.shiro.CustomCacheManager"/>

总结

将Shiro的缓存交给redis管理可以提高效率。提高对数据的读取的速度