Spring Boot + Redis 实现Shiro集群
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
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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
- 洛谷P2900 [USACO08MAR]土地征用Land Acquisition(斜率优化)
题意 约翰准备扩大他的农场,眼前他正在考虑购买N块长方形的土地.如果约翰单买一块土 地,价格就是土地的面积.但他可以选择并购一组土地,并购的价格为这些土地中最大的长 乘以最大的宽.比如约翰并购一块3 ...
- LAMP实战之构建博客网站
1.首先检查LAMP环境 [root@cairui htdocs]# ps -ef | grep httpd php Mar03 ? :: /opt/apache2.2.34/bin/httpd -k ...
- 浅谈python web框架django2.x
1.Django简介 Python下有多款不同的 Web 框架,Django是最有代表性的一种.许多成功的网站和APP都基于Django. Django是一个开源的Web应用框架,由Python写成. ...
- c++ string.c_str()小结
c++ const char *c_str(); c_str()函数返回一个指向正规C字符串的指针常量, 内容与本string串相同.(其实它指向的是string对象内部真正的char缓冲区),所以返 ...
- Opencv图像连通域
[摘要] 本文介绍在图像处理领域中较为常用的一种图像区域(Blob)提取的方法——连通性分析法(连通区域标记法). 文中介绍了两种常见的连通性分析的算法:1)Two-pass:2)Seed-Filli ...
- java 柱状图、折线图、饼状图
1.绘制柱状图: //BarChartTool工具类代码 package GUIview; import HibernateTool.HibernateTools; import ProductCla ...
- C语言中复杂的声明
C允许用户自定义数据形式. 虽然我们常用一些简单的数据形式,但是根据需要有时候会用到复杂的形式. 那么久会涉及定义一些复杂的声明.定义复杂声明之前,就必须能看懂复杂的声明. 这就需要了解一些规则和约定 ...
- day_05 字典
1. 字典 1.成对保存数据 ,以key:value形式保存 2.以{}表示,每项内容都是key:value,元素之间用逗号隔开 3.key是不可重复的 4.字典以hash算法来计算key的hash值 ...
- Ancoda 下的python多版本共存
Ancoda 下的python多版本共存 virtualenv python 多版本共存 Pip, Virtualenv 和Fabric 被称为python 的三大神器,Pip 是包管理工具,Virt ...
- my27_OGG MySQL To MySQL错误汇总
OGG-00446 2019-02-12T14:57:57.668+0800 ERROR OGG-00446 Oracle GoldenGate Delivery for MySQL, r1.prm: ...