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  • 基于redis的cas集群配置

    1、cas ticket统一存储

      做cas集群首先需要将ticket拿出来,做统一存储,以便每个节点访问到的数据一致。官方提供基于memcached的方案,由于项目需要,需要做计入redis,根据官方例子改了一个基于redis版本的。

    public class RedisTicketRegistry extends AbstractDistributedTicketRegistry{
        @NotNull
        private final RedisTemplate<String,Object> reidsTemplate;
    
        /**
         * TGT cache entry timeout in seconds.
         */
        @Min(0)
        private final int tgtTimeout;
    
        /**
         * ST cache entry timeout in seconds.
         */
        @Min(0)
        private final int stTimeout;
        
        public RedisTicketRegistry(RedisTemplate<String,Object> reidsTemplate,int tgtTimeout,int stTimeout){
            this.reidsTemplate=reidsTemplate;
            this.tgtTimeout=tgtTimeout;
            this.stTimeout=stTimeout;
        }
        @Override
        public void addTicket(Ticket ticket) {
            logger.debug("Adding ticket {}", ticket);
            try {
                reidsTemplate.opsForValue().set(ticket.getId(),ticket, getTimeout(ticket), TimeUnit.SECONDS);
            } catch (final Exception e) {
                logger.error("Failed adding {}", ticket, e);
            }
        }
    
        @Override
        public Ticket getTicket(String ticketId) {
             try {
                    final Ticket t = (Ticket) this.reidsTemplate.opsForValue().get(ticketId);
                    if (t != null) {
                        return getProxiedTicketInstance(t);
                    }
                } catch (final Exception e) {
                    logger.error("Failed fetching {} ", ticketId, e);
                }
                return null;
        }
    
        @Override
        public boolean deleteTicket(String ticketId) {
             logger.debug("Deleting ticket {}", ticketId);
                try {
                     this.reidsTemplate.delete(ticketId);
                     return true;
                } catch (final Exception e) {
                    logger.error("Failed deleting {}", ticketId, e);
                }
                return false;
        }
    
        @Override
        public Collection<Ticket> getTickets() {
             throw new UnsupportedOperationException("GetTickets not supported.");
        }
    
        @Override
        protected void updateTicket(Ticket ticket) {
         logger.debug("Updating ticket {}", ticket);
            try {
                  this.reidsTemplate.delete(ticket.getId());
                  reidsTemplate.opsForValue().set(ticket.getId(),ticket, getTimeout(ticket), TimeUnit.SECONDS);
            } catch (final Exception e) {
                logger.error("Failed updating {}", ticket, e);
            }
        }
    
        @Override
        protected boolean needsCallback() {
            // TODO Auto-generated method stub
            return true;
        }
       private int getTimeout(final Ticket t) {
            if (t instanceof TicketGrantingTicket) {
                return this.tgtTimeout;
            } else if (t instanceof ServiceTicket) {
                return this.stTimeout;
            }
            throw new IllegalArgumentException("Invalid ticket type");
        }
    }

      对应的ticketRegistry.xml的配置如下:

     <bean id="ticketRegistry" class="com.test.cas.ticket.registry.RedisTicketRegistry">
            <constructor-arg index="0" ref="redisTemplate" />
            <constructor-arg index="1" value="1800" />
            <constructor-arg index="2" value="10" />
        </bean>
        <bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig">  
            <property name="maxIdle" value="200" />  
            <property name="testOnBorrow" value="true" />  
        </bean>  
          
        <bean id="connectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"  
            p:host-name="redis_server_ip" p:port="6379"   p:pool-config-ref="poolConfig"/>  
        <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate"
            p:connection-factory-ref="connectionFactory">
        </bean>

      这里既然使用了redis作为ticket存储,就需要将原来的方案给注释掉:

     <!-- Ticket Registry 
      <bean id="ticketRegistry" class="org.jasig.cas.ticket.registry.DefaultTicketRegistry" />
      -->
        <!--Quartz -->
        <!-- TICKET REGISTRY CLEANER 
        <bean id="ticketRegistryCleaner" class="org.jasig.cas.ticket.registry.support.DefaultTicketRegistryCleaner"
            p:ticketRegistry-ref="ticketRegistry"
            p:logoutManager-ref="logoutManager" />
        
        <bean id="jobDetailTicketRegistryCleaner" class="org.springframework.scheduling.quartz.MethodInvokingJobDetailFactoryBean"
            p:targetObject-ref="ticketRegistryCleaner"
            p:targetMethod="clean" />
        
        <bean id="triggerJobDetailTicketRegistryCleaner" class="org.springframework.scheduling.quartz.SimpleTriggerBean"
            p:jobDetail-ref="jobDetailTicketRegistryCleaner"
            p:startDelay="20000"
            p:repeatInterval="5000000" />
        -->

      到这里,cas的改进就OK了,下面就需要将session也做集群同步。

    2、tomcat session集群同步

      这里采用开源的tomcat-redis-session-manager,git hub地址为:https://github.com/jcoleman/tomcat-redis-session-manager

      这里只使用的是jdk1.7,tomcat7,tomcat6需要重新编译好像。

      1)拷贝编译打包之后的tomcat-redis-session-manager-VERSION.jar,jedis-2.5.2.jar,commons-pool2-2.2.jar到tomcat/lib目录下

      2)修改Tomcat context.xml (or the context block of the server.xml if applicable.)

    <Valve className="com.orangefunction.tomcat.redissessions.RedisSessionHandlerValve"/>
    <Manager className="com.orangefunction.tomcat.redissessions.RedisSessionManager"
             host="redis_server_name"
             port="6379"
             database="0"
             maxInactiveInterval="1800"/>

    至此cas集群配置就可以了。

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  • 原文地址:https://www.cnblogs.com/lcxdever/p/4308759.html
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