为实现Web应用的分布式集群部署,要解决登录session的统一。本文利用shiro做权限控制,redis做session存储,结合spring boot快速配置实现session共享。

  1、引入相关依赖

        <dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>org.apache.shiro</groupId>
<artifactId>shiro-spring</artifactId>
<version>1.3.2</version>
</dependency>

  2、Redis相关

  2.1.redis配置

  spring.redis.host=localhost
  spring.redis.port=6379
  spring.redis.password=

  2.2.redis缓存的对象必须序列化,通用序列化 

import org.springframework.core.convert.converter.Converter;
import org.springframework.core.serializer.support.DeserializingConverter;
import org.springframework.core.serializer.support.SerializingConverter;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException; /**
* redis序列化对象
*/
public class RedisObjectSerializer implements RedisSerializer<Object> {
private Converter<Object, byte[]> serializer = new SerializingConverter();
private Converter<byte[], Object> deserializer = new DeserializingConverter();
static final byte[] EMPTY_ARRAY = new byte[0]; public Object deserialize(byte[] bytes) {
if (isEmpty(bytes)) {
return null;
}
try {
return deserializer.convert(bytes);
} catch (Exception ex) {
throw new SerializationException("Cannot deserialize", ex);
}
} public byte[] serialize(Object object) {
if (object == null) {
return EMPTY_ARRAY;
}
try {
return serializer.convert(object);
} catch (Exception ex) {
return EMPTY_ARRAY;
}
} private boolean isEmpty(byte[] data) {
return (data == null || data.length == 0);
}
}

  2.3 RedisTemplate 配置

import org.springframework.cache.CacheManager;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer; /**
* redis 配置
*/
@Configuration
public class RedisConfig { @Bean
public CacheManager cacheManager(RedisTemplate<Object, Object> redisTemplate) {
RedisCacheManager cacheManager = new RedisCacheManager(redisTemplate);
cacheManager.setDefaultExpiration(1800);
return cacheManager;
} @Bean
public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory factory) {
RedisTemplate<Object, Object> template = new RedisTemplate<Object, Object>();
template.setConnectionFactory(factory);
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new RedisObjectSerializer());
return template;
}
}

  3.Redis实现shiro的SessionDao存取session

import java.io.Serializable;
import java.util.concurrent.TimeUnit; import javax.annotation.Resource; import org.apache.shiro.session.Session;
import org.apache.shiro.session.mgt.eis.EnterpriseCacheSessionDAO;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component; /**
* redis实现共享session
*/
@Component
public class RedisSessionDAO extends EnterpriseCacheSessionDAO { private static Logger logger = LoggerFactory.getLogger(RedisSessionDAO.class); // session 在redis过期时间是30分钟30*60
private static int expireTime = 1800; private static String prefix = "weiyou-shiro-session:"; @Resource
private RedisTemplate<String, Object> redisTemplate; // 创建session,保存到数据库
@Override
protected Serializable doCreate(Session session) {
Serializable sessionId = super.doCreate(session);
logger.debug("创建session:{}", session.getId());
redisTemplate.opsForValue().set(prefix + sessionId.toString(), session);
return sessionId;
} // 获取session
@Override
protected Session doReadSession(Serializable sessionId) {
logger.debug("获取session:{}", sessionId);
// 先从缓存中获取session,如果没有再去数据库中获取
Session session = super.doReadSession(sessionId);
if (session == null) {
session = (Session) redisTemplate.opsForValue().get(prefix + sessionId.toString());
}
return session;
} // 更新session的最后一次访问时间
@Override
protected void doUpdate(Session session) {
super.doUpdate(session);
logger.debug("获取session:{}", session.getId());
String key = prefix + session.getId().toString();
if (!redisTemplate.hasKey(key)) {
redisTemplate.opsForValue().set(key, session);
}
redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
} // 删除session
@Override
protected void doDelete(Session session) {
logger.debug("删除session:{}", session.getId());
super.doDelete(session);
redisTemplate.delete(prefix + session.getId().toString());
}
}

  4.实现cache共享

import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit; import org.apache.shiro.cache.Cache;
import org.apache.shiro.cache.CacheException;
import org.springframework.data.redis.core.RedisTemplate; @SuppressWarnings("unchecked")
public class ShiroCache<K, V> implements Cache<K, V> { private static final String REDIS_SHIRO_CACHE = "weiyou-shiro-cache:";
private String cacheKey;
private RedisTemplate<K, V> redisTemplate;
private long globExpire = 30; @SuppressWarnings("rawtypes")
public ShiroCache(String name, RedisTemplate client) {
this.cacheKey = REDIS_SHIRO_CACHE + name + ":";
this.redisTemplate = client;
} @Override
public V get(K key) throws CacheException {
redisTemplate.boundValueOps(getCacheKey(key)).expire(globExpire, TimeUnit.MINUTES);
return redisTemplate.boundValueOps(getCacheKey(key)).get();
} @Override
public V put(K key, V value) throws CacheException {
V old = get(key);
redisTemplate.boundValueOps(getCacheKey(key)).set(value);
return old;
} @Override
public V remove(K key) throws CacheException {
V old = get(key);
redisTemplate.delete(getCacheKey(key));
return old;
} @Override
public void clear() throws CacheException {
redisTemplate.delete(keys());
} @Override
public int size() {
return keys().size();
} @Override
public Set<K> keys() {
return redisTemplate.keys(getCacheKey("*"));
} @Override
public Collection<V> values() {
Set<K> set = keys();
List<V> list = new ArrayList<>();
for (K s : set) {
list.add(get(s));
}
return list;
} private K getCacheKey(Object k) {
return (K) (this.cacheKey + k);
}
}

  实现shiro 的CacheManager

import javax.annotation.Resource;

import org.apache.shiro.cache.Cache;
import org.apache.shiro.cache.CacheException;
import org.apache.shiro.cache.CacheManager;
import org.springframework.data.redis.core.RedisTemplate; public class RedisCacheManager implements CacheManager { @Resource
private RedisTemplate<String, Object> redisTemplate; @Override
public <K, V> Cache<K, V> getCache(String name) throws CacheException {
return new ShiroCache<K, V>(name, redisTemplate);
} public RedisTemplate<String, Object> getRedisTemplate() {
return redisTemplate;
} public void setRedisTemplate(RedisTemplate<String, Object> redisTemplate) {
this.redisTemplate = redisTemplate;
} }

5.配置

  

import java.util.HashMap;
import java.util.Map; import javax.annotation.Resource; import org.apache.shiro.session.mgt.SessionManager;
import org.apache.shiro.spring.LifecycleBeanPostProcessor;
import org.apache.shiro.spring.security.interceptor.AuthorizationAttributeSourceAdvisor;
import org.apache.shiro.spring.web.ShiroFilterFactoryBean;
import org.apache.shiro.web.mgt.DefaultWebSecurityManager;
import org.apache.shiro.web.session.mgt.DefaultWebSessionManager;
import org.springframework.aop.framework.autoproxy.DefaultAdvisorAutoProxyCreator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration; /**
*
* @author April.Chen
*/
//@Configuration
public class ShiroConfig { @Resource
private RedisSessionDAO sessionDAO; @Bean
public UserRealm getUserRealm() {
return new UserRealm();
} @Bean
public LifecycleBeanPostProcessor getLifecycleBeanPostProcessor() {
return new LifecycleBeanPostProcessor();
} @Bean
public RedisCacheManager redisCacheManager() {
return new RedisCacheManager();
} @Bean
public SessionManager sessionManager() {
DefaultWebSessionManager sessionManager = new DefaultWebSessionManager();
sessionManager.setSessionDAO(sessionDAO);
sessionManager.setGlobalSessionTimeout(1800);
sessionManager.setCacheManager(redisCacheManager());
return sessionManager;
} @Bean
public DefaultWebSecurityManager securityManager() {
DefaultWebSecurityManager securityManager = new DefaultWebSecurityManager();
securityManager.setSessionManager(sessionManager());
securityManager.setCacheManager(redisCacheManager());
return securityManager;
} @Bean
public AuthorizationAttributeSourceAdvisor getAuthorizationAttributeSourceAdvisor() {
AuthorizationAttributeSourceAdvisor aasa = new AuthorizationAttributeSourceAdvisor();
aasa.setSecurityManager(securityManager());
return new AuthorizationAttributeSourceAdvisor();
} @Bean
public DefaultAdvisorAutoProxyCreator getDefaultAdvisorAutoProxyCreator() {
DefaultAdvisorAutoProxyCreator daap = new DefaultAdvisorAutoProxyCreator();
daap.setProxyTargetClass(true);
return daap;
} @Bean
public ShiroFilterFactoryBean getShiroFilterFactoryBean() {
Map<String, String> filterChainDefinitionMap = new HashMap<>();
ShiroFilterFactoryBean shiroFilterFactoryBean = new ShiroFilterFactoryBean();
shiroFilterFactoryBean.setSecurityManager(securityManager());
shiroFilterFactoryBean.setLoginUrl("/login");
shiroFilterFactoryBean.setSuccessUrl("/index");
filterChainDefinitionMap.put("/sa/**", "authc");
filterChainDefinitionMap.put("/**", "anon");
shiroFilterFactoryBean.setFilterChainDefinitionMap(filterChainDefinitionMap);
return shiroFilterFactoryBean;
}
}

Spring Boot + Redis 实现Shiro集群的更多相关文章

  1. Spring Boot集成Hazelcast实现集群与分布式内存缓存

    Hazelcast是Hazelcast公司开源的一款分布式内存数据库产品,提供弹性可扩展.高性能的分布式内存计算.并通过提供诸如Map,Queue,ExecutorService,Lock和JCach ...

  2. Spring Boot项目配置RabbitMQ集群

    //具体参看了配置的源码 org.springframework.boot.autoconfigure.amqp.RabbitProperties //RabbitMQ单机 spring:   rab ...

  3. spring + spring-data-redist + Redis 单机、集群(cluster模式,哨兵模式)

    一.单机redis配置 1. 配置redis连接池 <bean id="jedisPoolConfig" class="redis.clients.jedis.Je ...

  4. Apache shiro集群实现 (七)分布式集群系统下---cache共享

    Apache shiro集群实现 (一) shiro入门介绍 Apache shiro集群实现 (二) shiro 的INI配置 Apache shiro集群实现 (三)shiro身份认证(Shiro ...

  5. Apache shiro集群实现 (六)分布式集群系统下的高可用session解决方案---Session共享

    Apache shiro集群实现 (一) shiro入门介绍 Apache shiro集群实现 (二) shiro 的INI配置 Apache shiro集群实现 (三)shiro身份认证(Shiro ...

  6. Redis 高可用集群

    Redis 高可用集群 Redis 的集群主从模型是一种高可用的集群架构.本章主要内容有:高可用集群的搭建,Jedis连接集群,新增集群节点,删除集群节点,其他配置补充说明. 高可用集群搭建 集群(c ...

  7. Apache shiro集群实现 (八) web集群时session同步的3种方法

    Apache shiro集群实现 (一) shiro入门介绍 Apache shiro集群实现 (二) shiro 的INI配置 Apache shiro集群实现 (三)shiro身份认证(Shiro ...

  8. Apache shiro集群实现 (五)分布式集群系统下的高可用session解决方案

    Apache shiro集群实现 (一) shiro入门介绍 Apache shiro集群实现 (二) shiro 的INI配置 Apache shiro集群实现 (三)shiro身份认证(Shiro ...

  9. Apache shiro集群实现 (四)shiro授权(Authentication)--访问控制

    Apache shiro集群实现 (一) shiro入门介绍 Apache shiro集群实现 (二) shiro 的INI配置 Apache shiro集群实现 (三)shiro身份认证(Shiro ...

随机推荐

  1. [Django笔记] 从已有的数据库构建应用

    Django适合从零开始构建,所谓 'Green-field' 开发.那么当我需要基于已存在的数据库构建应用时怎么办呢? inspectdb # 扫描默认数据库 python manage.py in ...

  2. See Elevator Run Floors

    “在我短暂的电梯作业中我发现,架构的优化能力是有限的.越是工于优化算法…越是会被自己的架构所制约….想要更好的优化,唯有超越架构………" 零.基础 优化建立在架构之上,这句话莫得问题,也莫得 ...

  3. ADX3000二层的负载均衡设计问题

    我的想法是 想在现有的局域网内部,利用ADX划分出一个新的局域网,模拟负载均衡. 现在有三台试验机器,拓扑图如下: 各个机器IP设置如下图: 我进行了如下的操作: 1 在组网配置当中,设置eth1_0 ...

  4. 一些意想不到的小bug。

    一,当if的时候,很容易忘记相对的else,从而出现bug,要将背面消息考虑全面. 二,多个元素在同一行布局的时候,要考虑文字的换行还是省略号代替. 例如:左边一个文字,宽度不固定,右边一个图形,宽度 ...

  5. Python学习之路--1.0 Python概述及基本数据类型

    Python是一门解释性语言,弱类型语言 python程序的两种编写方式: 1.进入cmd控制台,输入python进入编辑模式,即可直接编写python程序 2.在.朋友文件中编写python代码,通 ...

  6. 6.House Robber(简单版抢银行)

    Level:   Easy 题目描述: You are a professional robber planning to rob houses along a street. Each house ...

  7. vue.js路由嵌套传参

    通过配置路由时候按照: path:/user/:username/age/:age 这种就可以把参数传递 接受: $routes.params 接受到的是一个json格式的数据,

  8. poj3040 发工资(贪心)

    题目传送门 题目大意:给一个人发工资,给出不同数量不同面额,(大面额一定是小面额的倍数),问最多能发几天,(每天实发工资>=应发工资). 思路:首先,将大于等于c的面额的钱直接每个星期给奶牛一张 ...

  9. Helvetic Coding Contest 2016 online mirror A1

    Description Tonight is brain dinner night and all zombies will gather together to scarf down some de ...

  10. Educational Codeforces Round 7 B

    Description You are given the current time in 24-hour format hh:mm. Find and print the time after a  ...