SpringCloud的入门学习之概念理解、Ribbon负载均衡入门

1、Ribbon负载均衡，Spring Cloud Ribbon是基于Netflix Ribbon实现的一套客户端、负载均衡的工具。

　　答：简单的说，Ribbon是Netflix发布的开源项目，主要功能是提供客户端的软件负载均衡算法，将Netflix的中间层服务连接在一起。Ribbon客户端组件提供一系列完善的配置项如连接超时，重试等。简单的说，就是在配置文件中列出Load Balancer（简称LB，负载均衡）后面所有的机器，Ribbon会自动的帮助你基于某种规则（如简单轮询，随机连接等）去连接这些机器。我们也很容易使用Ribbon实现自定义的负载均衡算法。

2、Ribbon可以干什么呢？

　　答：负载均衡Load Balancer，LB，即负载均衡(Load Balance)，在微服务或分布式集群中经常用的一种应用。负载均衡简单的说就是将用户的请求平摊的分配到多个服务上，从而达到系统的HA。常见的负载均衡有软件Nginx，LVS，硬件 F5等。相应的在中间件，例如：dubbo和SpringCloud中均给我们提供了负载均衡，SpringCloud的负载均衡算法可以自定义。

3、负载均衡(Load Balance)的种类，如下所示。

　　1）、集中式LB（偏向于硬件），即在服务的消费方和提供方之间使用独立的LB设施(可以是硬件，如F5, 也可以是软件，如nginx), 由该设施负责把访问请求通过某种策略转发至服务的提供方。
　　2）、进程内LB（偏向于软件），将LB逻辑集成到消费方，消费方从服务注册中心获知有哪些地址可用，然后自己再从这些地址中选择出一个合适的服务器。Ribbon就属于进程内LB，它只是一个类库，集成于消费方进程，消费方通过它来获取到服务提供方的地址。

4、Ribbon负载均衡的初步使用。修改之前开发的消费端microservicecloud-consumer-dept-80。Ribbon的依赖包，需要和eureka进行整合。

 <project xmlns="http://maven.apache.org/POM/4.0.0"
     xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
     xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
     http://maven.apache.org/xsd/maven-4.0.0.xsd">
     <modelVersion>4.0.</modelVersion>
     <parent>
         <groupId>com.bie.springcloud</groupId>
         <artifactId>microservicecloud</artifactId>
         <version>0.0.-SNAPSHOT</version>
     </parent>
     <artifactId>microservicecloud-consumer-dept-</artifactId>

     <dependencies>
         <!-- 自己定义的api -->
         <dependency>
             <groupId>com.bie.springcloud</groupId>
             <artifactId>microservicecloud-api</artifactId>
             <version>${project.version}</version>
         </dependency>
         <dependency>
             <groupId>org.springframework.boot</groupId>
             <artifactId>spring-boot-starter-web</artifactId>
         </dependency>
         <!-- 修改后立即生效，热部署 -->
         <dependency>
             <groupId>org.springframework</groupId>
             <artifactId>springloaded</artifactId>
         </dependency>
         <dependency>
             <groupId>org.springframework.boot</groupId>
             <artifactId>spring-boot-devtools</artifactId>
         </dependency>
         <!-- 将微服务consumer客户端注册进eureka -->
         <!-- eureka需要依赖如下两个依赖包 -->
         <dependency>
             <groupId>org.springframework.cloud</groupId>
             <artifactId>spring-cloud-starter-eureka</artifactId>
         </dependency>
         <dependency>
             <groupId>org.springframework.cloud</groupId>
             <artifactId>spring-cloud-starter-config</artifactId>
         </dependency>
         <!-- Ribbon相关,需要和eureka进行整合 -->
         <dependency>
             <groupId>org.springframework.cloud</groupId>
             <artifactId>spring-cloud-starter-ribbon</artifactId>
         </dependency>

     </dependencies>

 </project>

修改配置文件application.yml。

 server:
   port: 

 eureka:
   client: # 客户端注册进eureka服务列表内
     register-with-eureka: false # eureka客户端,自己不能注册
     service-url:
       defaultZone: http://eureka7001.com:7001/eureka/,http://eureka7002.com:7002/eureka/,http://eureka7003.com:7003/eureka/

RestTemplate提供了多种便捷访问远程Http服务的方法， 是一种简单便捷的访问restful服务模板类，是Spring提供的用于访问Rest服务的客户端模板工具集。@LoadBalanced注解是Ribbon的负载均衡配置。

 package com.bie.config;

 import org.springframework.cloud.client.loadbalancer.LoadBalanced;
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;
 import org.springframework.web.client.RestTemplate;

 /**
  *
  *
  * @author biehl
  *
  *         RestTemplate提供了多种便捷访问远程Http服务的方法, 是一种简单便捷的访问restful服务模板类,
  *         是Spring提供的用于访问Rest服务的客户端模板工具集
  *
  */
 @Configuration
 public class ConfigBean {

     @Bean
     @LoadBalanced // @LoadBalanced是Ribbon的负载均衡配置。
     // Spring Cloud Ribbon是基于Netflix Ribbon实现的一套客户端、负载均衡的工具。
     public RestTemplate getRestTemplate() {
         return new RestTemplate();
     }

 }

修改客户端访问类。修改成微服务的名称,按照名称进行访问微服务。

 package com.bie.controller;

 import java.util.List;

 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.web.bind.annotation.PathVariable;
 import org.springframework.web.bind.annotation.RequestBody;
 import org.springframework.web.bind.annotation.RequestMapping;
 import org.springframework.web.bind.annotation.RestController;
 import org.springframework.web.client.RestTemplate;

 import com.bie.po.Dept;

 /**
  *
  * RestTemplate提供了多种便捷访问远程Http服务的方法, 是一种简单便捷的访问RESTFul服务模板类,
  * 是Spring提供的用于访问Rest服务的客户端模板工具集
  *
  * 使用restTemplate访问restful接口非常的简单粗暴无脑。 (url, requestMap,
  * ResponseBean.class)这三个参数分别代表 REST请求地址、请求参数、HTTP响应转换被转换成的对象类型。
  *
  *
  * @author biehl
  *
  */
 @RestController
 public class DeptControllerConsumer {

     // private static final String REST_URL_PREFIX = "http://localhost:8001";
     // 修改客户端访问类。修改成微服务的名称,按照名称进行访问微服务.
     private static final String REST_URL_PREFIX = "http://MICROSERVICECLOUD-PROVIDER-DEPT";

     @Autowired
     private RestTemplate restTemplate;

     /**
      *
      * @param dept
      * @return
      */
     @RequestMapping(value = "/consumer/dept/add")
     public boolean addDept(@RequestBody Dept dept) {

         return restTemplate.postForObject(REST_URL_PREFIX + "/dept/add", dept, Boolean.class);
     }

     /**
      * 注意,从路径中获取到参数值,使用注解@PathVariable
      *
      * @param id
      * @return
      */
     @RequestMapping(value = "/consumer/dept/get/{id}")
     public Dept getById(@PathVariable(value = "id") Long id) {

         return restTemplate.getForObject(REST_URL_PREFIX + "/dept/get/" + id, Dept.class);
     }

     /**
      *
      * @return
      */
     @SuppressWarnings("unchecked")
     @RequestMapping(value = "/consumer/dept/list")
     public List<Dept> list() {

         return restTemplate.getForObject(REST_URL_PREFIX + "/dept/list", List.class);
     }

     // 测试@EnableDiscoveryClient,消费端可以调用服务发现
     @RequestMapping(value = "/consumer/dept/discovery")
     public Object discovery() {
         return restTemplate.getForObject(REST_URL_PREFIX + "/dept/discovery", Object.class);
     }

 }

将consumer注册到Eureka Server注册中心。

 package com.bie;

 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
 import org.springframework.cloud.netflix.eureka.EnableEurekaClient;

 @SpringBootApplication
 @EnableEurekaClient // 将consumer注册到Eureka Server注册中心
 public class MicroServiceCloudConsumerApplication {

     public static void main(String[] args) {
         SpringApplication.run(MicroServiceCloudConsumerApplication.class, args);
     }

 }

将三个节点的Eureka Server启动以后，再启动你的服务提供者、服务消费者。Ribbon和Eureka整合以后服务调用者，调用服务提供者提供的服务不需要再关心地址和端口号了。效果如下所示：

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alt="" />

5、Ribbon的负载均衡。Ribbon的架构使用说明，如下所示：

　　1）、Ribbon在工作时分成两步。

　　　　a、第一步先选择 EurekaServer ,它优先选择在同一个区域内负载较少的server。
　　　　b、第二步再根据用户指定的策略，在从server取到的服务注册列表中选择一个地址。其中Ribbon提供了多种策略：比如轮询、随机和根据响应时间加权。

　　2）、参考microservicecloud-provider-dept-8001，新建两个子模块工程，分别命名为microservicecloud-provider-dept-8002、microservicecloud-provider-dept-8003。然后参考cloudDB01新建两个数据库cloudDB02、cloudDB03。然后修改microservicecloud-provider-dept-8002、microservicecloud-provider-dept-8003子模块的配置文件application.yml。主要修改的是端口号，数据库链接，对外暴漏的统一的服务实例名称即spring.application.name这个名称要一致。

microservicecloud-provider-dept-8002子模块的配置文件application.yml，内容如下所示:

 server:
   port: 8002  

 mybatis:
   config-location: classpath:mybatis/mybatis.cfg.xml        # mybatis配置文件所在路径
   type-aliases-package: com.bie.po                          # 所有实体类别名类所在包
   mapper-locations:
   - classpath:mybatis/mapper/**/*.xml                       # mapper映射文件  

 spring:
   application:
     name: microservicecloud-provider-dept                   # 微服务的名称,多节点名称要一致。
   datasource:
     type: com.alibaba.druid.pool.DruidDataSource            # 当前数据源操作类型
     driver-class-name: org.gjt.mm.mysql.Driver              # mysql驱动包
     url: jdbc:mysql://localhost:3306/cloudDB02              # 数据库名称
     username: root
     password:
     dbcp2:
       min-idle:                                            # 数据库连接池的最小维持连接数
       initial-size:                                        # 初始化连接数
       max-total:                                           # 最大连接数
       max-wait-millis:                                   # 等待连接获取的最大超时时间

 eureka:
   client: # 客户端注册进eureka服务列表内
     service-url:
       # defaultZone: http://localhost:7001/eureka
       defaultZone: http://eureka7001.com:7001/eureka/,http://eureka7002.com:7002/eureka/,http://eureka7003.com:7003/eureka/
   instance:
     instance-id: microservicecloud-provider-dept8002 # 将eureka-server注册中心的服务,显示你想看的名称
     prefer-ip-address: true # 访问路径可以显示IP地址    

 info: # 微服务info内容显示详细信息
   app.name: microservicecloud-provider-dept # 应用名称
   company.name: www.baidu.com # 公司地址
   build.artifactId: $project.artifactId$  # 构建项目artifactId
   build.version: $project.version$ # 构建项目版本号
       

microservicecloud-provider-dept-8003子模块的配置文件application.yml，内容如下所示:

 server:
   port: 

 mybatis:
   config-location: classpath:mybatis/mybatis.cfg.xml        # mybatis配置文件所在路径
   type-aliases-package: com.bie.po                          # 所有实体类别名类所在包
   mapper-locations:
   - classpath:mybatis/mapper/**/*.xml                       # mapper映射文件  

 spring:
   application:
     name: microservicecloud-provider-dept                   # 微服务的名称
   datasource:
     type: com.alibaba.druid.pool.DruidDataSource            # 当前数据源操作类型
     driver-class-name: org.gjt.mm.mysql.Driver              # mysql驱动包
     url: jdbc:mysql://localhost:3306/cloudDB03                # 数据库名称
     username: root
     password:
     dbcp2:
       min-idle:                                            # 数据库连接池的最小维持连接数
       initial-size:                                        # 初始化连接数
       max-total:                                           # 最大连接数
       max-wait-millis:                                   # 等待连接获取的最大超时时间

 eureka:
   client: # 客户端注册进eureka服务列表内
     service-url:
       # defaultZone: http://localhost:7001/eureka
       defaultZone: http://eureka7001.com:7001/eureka/,http://eureka7002.com:7002/eureka/,http://eureka7003.com:7003/eureka/
   instance:
     instance-id: microservicecloud-provider-dept8003 # 将eureka-server注册中心的服务,显示你想看的名称
     prefer-ip-address: true # 访问路径可以显示IP地址    

 info: # 微服务info内容显示详细信息
   app.name: microservicecloud-provider-dept # 应用名称
   company.name: www.baidu.com # 公司地址
   build.artifactId: $project.artifactId$  # 构建项目artifactId
   build.version: $project.version$ # 构建项目版本号
       

　　3）、最后启动3个节点的Eureka Server注册中心集群，启动3个节点的服务提供者，测试三个服务提供者都可以正常访问数据库。启动服务的消费者，客户端通过Ribbon完成负载均衡并访问三个节点的服务提供者，主要观察每次返回的结果，各不相同，完成负载均衡的效果。

启动3个节点的服务提供者，测试三个服务提供者都可以正常访问数据库。如下所示：

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启动3个节点的Eureka Server注册中心集群，如下所示：

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启动服务的消费者，客户端通过Ribbon完成负载均衡并访问三个节点的服务提供者，主要观察每次返回的结果，各不相同，完成负载均衡的效果。

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alt="" />　　

　　4）、总结，Ribbon其实就是一个软负载均衡的客户端组件，它可以和其他所请求的客户端结合使用，和Eureka结合只是其中的一个实例。

6、Ribbon的核心组件IRule，IRule根据特定算法中从服务列表中选取一个要访问的服务。七种默认算法如下所示：

　　1）、RoundRobinRule轮询算法。一个节点一次。
　　2）、RandomRule随机算法。随机选择一个节点。
　　3）、AvaliabilityFilteringRule会先过滤掉由于多次访问故障而处于断路器跳闸状态的服务，还有并发的连接数量超过阀值的服务，然后对剩余的服务列表按照轮询策略进行访问。
　　4）、WeightedResponseTimeRule根据平均响应时间计算所有服务的权重，响应时间越快服务权重越大被选中的概率越大。刚启动的时候如果统计信息不足，则使用　　5）、RoundRobinRule策略，等统计信息足够。会切换到WeightedResponseTimeRule。
　　6）、RetryRule先按照RoundRobinRule的策略的获取服务，如果获取服务失败，则在指定的时候内会重试，获取可用的服务。
　　7）、BestAvaliableRule会先过滤掉由于多次访问故障而处于断路器跳闸状态的服务，然后选择一个并发量最小的服务。
　　8）、ZoneAvoidanceRule默认规则，复合判断server所在区域的性能和server的可用性选择服务器。

在消费端，可以在初始化配置文件里面，将默认的轮询算法，修改为自己想使用的默认算法。

 package com.bie.config;

 import org.springframework.cloud.client.loadbalancer.LoadBalanced;
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;
 import org.springframework.web.client.RestTemplate;

 import com.netflix.loadbalancer.IRule;
 import com.netflix.loadbalancer.RetryRule;

 /**
  *
  *
  * @author biehl
  *
  *         RestTemplate提供了多种便捷访问远程Http服务的方法, 是一种简单便捷的访问restful服务模板类,
  *         是Spring提供的用于访问Rest服务的客户端模板工具集
  *
  */
 @Configuration
 public class ConfigBean {

     @Bean
     @LoadBalanced // @LoadBalanced是Ribbon的负载均衡配置。
     // Spring Cloud Ribbon是基于Netflix Ribbon实现的一套客户端、负载均衡的工具。
     public RestTemplate getRestTemplate() {
         return new RestTemplate();
     }

     // 默认是轮询算法,这里可以选择其他算法,方法如下所示：
     public IRule iRule() {
         // 使用随机算法替换默认的轮询算法。
         // return new RandomRule();

         // 先按照RoundRobinRule的策略的获取服务,如果获取服务失败,则在指定的时候内会重试,获取可用的服务。
         return new RetryRule();
     }

 }

7、自定义Ribbo的负载均衡策略，不再使用七种默认的算法。使用自定义的算法。

　　注意：官方文档明确给出了警告，这个自定义配置类不能放在@ComponentScan所扫描的当前包下以及子包下，否则我们自定义的这个配置类会被所有的Ribbon客户端所共享，也就是说我们达不到特殊定制的目的了。

开始修改主启动类，添加@RibbonClient注解，指定服务提供者的项目名称，以及提供自定义的算法策略，如下所示：

 package com.bie;

 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
 import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
 import org.springframework.cloud.netflix.ribbon.RibbonClient;

 import com.iRule.RibbonSelfRule;

 /**
  * 官方文档明确给出了警告,这个自定义配置类不能放在@ComponentScan所扫描的当前包下以及子包下,
  * 否则我们自定义的这个配置类会被所有的Ribbon客户端所共享,也就是说我们达不到特殊定制的目的了。
  *
  * @author biehl
  *
  */
 @SpringBootApplication
 @EnableEurekaClient // 将consumer注册到Eureka Server注册中心
 @RibbonClient(name = "MICROSERVICECLOUD-PROVIDER-DEPT", configuration = RibbonSelfRule.class)
 // 向启动类添加@RibbonClient。在启动该微服务的时候就能加载我们自定义的Ribbon配置类,从而使配置生效。
 public class MicroServiceCloudConsumerApplication {

     public static void main(String[] args) {
         SpringApplication.run(MicroServiceCloudConsumerApplication.class, args);
     }

 }

可以先使用Ribbon提供的默认算法，测试通过这种方法，是否可以使用自定义算法策略。可以自己进行测试，这里省略。

 package com.iRule;

 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;

 import com.netflix.loadbalancer.IRule;
 import com.netflix.loadbalancer.RandomRule;

 /**
  *
  *
  * @author biehl
  *
  *         官方文档明确给出了警告,
  *
  *         这个自定义配置类不能放在@ComponentScan所扫描的当前包下以及子包下,
  *
  *         否则我们自定义的这个配置类会被所有的Ribbon客户端所共享,
  *
  *         也就是说我们达不到特殊定制的目的了。
  *
  *
  */
 @Configuration
 public class RibbonSelfRule {

     @Bean
     public IRule iRule() {
         // Ribbon默认是轮询,这里自定义是随机。
         return new RandomRule();
     }

 }

可以参考官网的案例，进行升级和改造，如下所示：

 package com.iRule;

 import java.util.List;
 import java.util.Random;

 import com.netflix.client.config.IClientConfig;
 import com.netflix.loadbalancer.AbstractLoadBalancerRule;
 import com.netflix.loadbalancer.ILoadBalancer;
 import com.netflix.loadbalancer.Server;

 /**
  *
  *
  * @author biehl
  *
  *         随机算法,从官方网址拷贝的。
  *
  */
 public class RandomRule_ZDY extends AbstractLoadBalancerRule {

     // 创建一个Random对象
     Random rand;

     public RandomRule_ZDY() {
         rand = new Random();
     }

     /**
      * Randomly choose from all living servers
      *
      * 返回给具体服务的那一个服务器
      *
      */
     // @edu.umd.cs.findbugs.annotations.SuppressWarnings(value =
     // "RCN_REDUNDANT_NULLCHECK_OF_NULL_VALUE")
     public Server choose(ILoadBalancer lb, Object key) {
         // 判断如果是null,就返回null
         if (lb == null) {
             return null;
         }
         // 定义服务器Server类
         Server server = null;

         // 循环判断server是否等于null,server初始值是null
         while (server == null) {
             // 判断线程是否中断,如果中断返回null
             if (Thread.interrupted()) {
                 return null;
             }
             // 获取到活的可达的服务器节点。活着的可以提供服务的服务器。
             List<Server> upList = lb.getReachableServers();
             // 获取到所有的服务器节点
             List<Server> allList = lb.getAllServers();

             // 获取到所有服务器节点的个数
             int serverCount = allList.size();
             // 如果获取到的所有服务器节点的个数等于0,就返回null
             if (serverCount == ) {
                 /*
                  * No servers. End regardless of pass, because subsequent passes only get more
                  * restrictive.
                  */
                 return null;
             }

             // 如果获取到的所有服务器节点不为0,就随机获取一个索引。
             int index = rand.nextInt(serverCount);
             // 将获取到的index从活的可达的服务器中获取到这个服务器
             server = upList.get(index);

             // 如果获取到的这个服务器为null
             if (server == null) {
                 /*
                  * The only time this should happen is if the server list were somehow trimmed.
                  * This is a transient condition. Retry after yielding.
                  */
                 // 暂停当前正在执行的线程对象,并执行其他线程,就是进入就绪状态
                 Thread.yield();
                 continue;
             }

             // 如果是活的可以提供服务的,就返回该服务器。
             if (server.isAlive()) {
                 return (server);
             }

             // Shouldn't actually happen.. but must be transient or a bug.
             server = null;
             Thread.yield();
         }

         return server;

     }

     @Override
     public Server choose(Object key) {
         return choose(getLoadBalancer(), key);
     }

     @Override
     public void initWithNiwsConfig(IClientConfig clientConfig) {
         // TODO Auto-generated method stub

     }
 }

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9D0oATBJpCMGnA8V/VIOB1/OgD8bf8Agibx8fPHWf8AoWT/AOlUFfsHoH/IPP8A13m/9GvVof6/8Dn9Kq6B/wAg8/8AXeb/ANGvQBo18U/t2aRPZfHj9nXxNptg97qdtrVxAIYHVJLgAQyJEGPHO2QDJx8x9a+1q+QP24vF9p4M+Lf7Ot/eRzTwReI7mRobaJpZW/dxp8iKCWOZBwBnmgZ0P7MX/C7L7xZ4l1P4g+EdE8K2ep3IvJLgTNNezjbtigVVfaqxrtG4+h+Ukkjw/wD4KG/tFeEk8a6b8PNZSXU9K0SH+2b/AEu3YhdSveBbWcjr/q4wC0jnkn5QMHmvWfix8Xfi9qfjjwLo/hSGw8GaV4n1UWlsmp25m1WW2jXzLm6aMnbCirhQpBbLDJXOK8j8df8ABNLXPjR+0V438V+JfEceieFb+++02wtFE91cqyjIwSFjAIIyd3070BszA/Zc+EXjf4s/sw6/4k8M/EvU/hy95q99fwaTo8CRWCMpBKgriRVyCOGwABwcc/RH/BOj40+JPjT8B5LzxVPJf6ppWoyWH9oS/fuUCK6sx7sN+Cfavk39mP4FfGr4j/CbxLpfw9+Jkfh/wLJq17pEumakjF/K4DOjKrY3BiCFI5z65r9E/gD8FdL+APwv0jwZpMhuYrJS8926bGuZmOZJCBnGT0GTgYGTQD3PR6zte/5B3/baH/0ataNZ2vf8g7/ttD/6NWgQ+T/kJr/uf1NfyykYNf1Nyf8AISXjjZ/U1bHAxmgD+VkDJoxg0o4PT86/qk70AOHav5WK/qmziv5WSCKACgda/qnoOaADOK/lYIwa/qlxmlHAAzQB/KzQOtGKUAigD+qbOK/lYIxTvamnrQB/VRRRRQAUUUUAFFFFADS2DSgkgHFBGa/lYJyaAFHJ607ryTTAcV/VPjFAH8rfbtX9UY5HT86/layQaQnJoA/qnPT1poPOMU4jNfys5oA/qmHNGKB0paAP5WAOetf1SA9v1NOIyKMACgBp69K/lbPB6/lSZwaCcmgD9FP+CKHHx98cD/qWT/6VQV+wegf8g8/9d5v/AEa9W8fv/wDgJ/pVTQP+Qef+u83/AKNegDRr5j/bP+AHiL4v6h8MPEfhPbLrfg/X47z7PJMI1eB5IWkbJ4yphQ/TdxX05ScE0Afnz4g+E/xY/ab/AGzbnVNYXWPBHgTwbcyWdjqNo72ss8WcsIH4LGXALMOAvHav0BijEKBQSQOBk5qUKBnA61Fdyrb20srcKilj9AKA3PlD/gmnGy/ArXGOQG8T6gR/30tfWnSvkv8A4Jl3H2v9na7uArKk3iC/kUN6Fx09a+taBhWdr3/IO/7bQ/8Ao1a0azte/wCQd/22h/8ARq0CPx8/4LZY/wCF++Bv+xZGf/Aqevzsx71/U0/Opr/uf1NXaAExX8rWc1/VNX8q/TFAH9UwGRzzSgY7V/KxRQB/VOTgU3JPH604jNfysk0AB4pM0daKAP6pyOOlfytds8c1/VKRkYNGMCgBhP15r+VwjnrR61/VN0oAWiiigAooooAKKKKACiiigD+VcDJr+qfI69qCCQRmk24oAXIoByMiv5Ws9vfrX9UoPHWgD+VgDNf1Tg5r+VgdaceBjFAH9U1FfysDntRn2oAQDJr+qcHNBBIIzSBcGgBSQOtAORSMuT17V/K1kelAH9UPW4/4Cap6Af8AiXkf9N5v/Rr1+DH/AATQ+Pmk/AT9puwu9fuorDQdfs5NFu7ybASDzHR43ZiQEUSRpuY9AT25r917e4fwzNcQTW88tjJK00U8EZk2FjllZRyPmJIOCMHtigDoqKzR4gsz/wA/H/gLL/8AE0f8JBZ/9PP/AICS/wDxNAGlWL4y1B9L8K6tcxWlxfyx20hS2tI98srbThVXIySferH/AAkFn/08/wDgJL/8TSHXrM/8/P8A4Cy//E0AeY/slfCe9+CvwE8M+F9TCLqsUb3F4iHISaVi7LnvjdjPtXsNZi69ZqMYuP8AwEl/+Jpf+Egs/wDp5/8AASX/AOJoA0qzteP/ABLv+20P/o1KQ+ILP0uf/ASX/wCJrPnuZPEk8FvBBNDYxyrLLNOhjLlDuCqp56gEnGMCgDVf/kJr/uf1NfyyV/UnZ3aX188sZ3xKNqsOh9xX8tpHNACAZr+qcEV/KwOtO6cUAf1S7h60A5FN25Oc/hX8reR6UAJ1r+qfvQQSOtfytE5HSgD+qaiv5WfwFJn2oA/qmJwK/lYIxSg4PSgncKAEAzX9U4ORX8rIO0UFgT0oA/qnooooAKKKKACiiigAooooAQkgE4pA2c1/KyDg1/VPjGaAP5WhnnHrSEcnmjOM1/VMBgUAfysgc9a/qkU5NO61/KwaAP6pW64/lX8rR6/4UA4oJyaAP6qKKKKAGs2D07V/K1getf1TEA9aAMCgD+VocHrX9PV1Jq+k5Fm0c0Y+7HOpIHp0Oa6sjI5pCi4+6PyoA/G8f8FsfiiAf+KG8H/983X/AMepD/wWz+KQOP8AhBfCH/fN1/8AHq/OvPWv6o/s8X/PNP8AvkUAcB/wmPin/oH2P/fL/wDxVflef+C2fxTGf+KF8Ifldf8Ax6vzqzX9UYt4h/yyT/vkUAfjkP8Agtn8UiM/8IL4Q/75uv8A49X6nnxh4pBx9gsf++X/APiq7/yIh/yzUfQUfZ4h/wAs0/75FAH44f8AD7P4pHj/AIQXwh/3zdf/AB6v1Yjk13XQEvJI4LduGjt1IDD3JJOOfWu38iL/AJ5p/wB8iv5WzQB/UzplitnAqADFXsY7V/KxRQAoHPWv6pAee/1pxGRRgAUAN3EHpX8rZA9aPWv6pulAC1/KwK/qnr+VfpigD+qXnOOee9fytHr/AIUZoJyaAP6p8ewpD/nFfys0DrQA7HfNNIwa/qmxnFfysk5oA/qoooooAKKKKACiiigBCQOtAORTWHOfbpX8rZ69KAEoHWv6p8+4oP1FAAOlLSDijNAATgZNGcihulfytZ7YoAT1r+qbrTSK/lbJ56UAIBmv6ps5zX8rI604nAx6UANxk0EYNf1S4561/K0Tk0AFHWjFKBg80AJigjBr+qXBODntX8rROTQAUDrRilHWgD+qYdKWv5WcZ6DNJ+FACda/qnz1obp1r+VokGgBuMmgjBr+qXHPWv5WicmgD+qcnAyaMignjrX8rWe3v1oA/ql64r+Viv6punvX8rJBFAH9U/Sv5WDSg89K/qkUYNAH8rQr+qfrTW5PWv5WyeelACUDrX9U9BzQADtX8rFf1TgYr+VigD+qiiiigAooooAKKKKAGseeaF6Dj86UjNfysE5NABmjNFFACgZHWgjB60gOK/qnAwKAA80hGBX8rNA60AO79aTHvX9Uw6UtAH8rAHPWv6pFyTTutfysGgD+qYkg4r+VkjBoBxQTk0Af1TkcdK/laxxnjrX9UpGRg0YwKAG7uQMV/K0Rg0ZwaCcmgD+qY8AnFJnNfytA4Nf1T4HTtQB/K2ADX9UY6dKXFfysdaAP6pz09aaOTinEZr+VgmgD+qYkg4r+VkjBoBxQTk0AL+NL1PJzX9U1FADCfUUq9Bx+dLgdO1fysE5NABQSTRRQA5ema/qkHI6fnX8rIJFBOTQB/VPRX8rFFAH9UxYg9K/laIHrSCv6p+lAC0UUUAFFFFABRRRQAhIHWgHIpGXJ69q/layPSgD+qeiv5WPwo/CgD+qeiv5WPwo/CgD+qeiv5WPwpeh5GKAP6pcjr2r+VgjBr+qbbmlAIAGaAAnFfys4r+qY9PSmgc5zQA7OK/lYIwa/qlK570o4AGaAP5Wa/qnPev5WME1/VN1oA/lZxk0EYNf1TbTnOa/lZJyaAP6pycCv5WcUA4PSlLZ7UAf1S5wKAcjIr+VrPGMfjX9Uq9KAP5WKB1r+qfPuKD9RQAZxX8rBGDX9UpFOXoOc0ABOK/lZIr+qY9PSmgdT+lAH8rXSilIyaSgD+qcnAyaMihulfytZGPp3oA/ql64r+Viv6plr+VmgD+qcnAyaM5FBGRX8rQIxigBp60Up60mKAP6qKKKKACiiigAooooATvX8rFf1T96/lYoA/qnPA6UgOTjFKRmv5WCaAP6p8ewox7Cv5WKKAP6p8A1/Kzmv6p6/lX9KAP6px0paQdKWgBrdDxn6V/K2RgZpoODQSTQAoGR1oIwetIDiv6pwMCgBG6Hj8qFPPFfysg4Nf1TgYoAO9fysV/VP3r+VigD+qfFB4paQ9KAExmlHFfysHrRQAv40D61/VPSHpQB/K0Bx/Q1/VIvQcY+tfytZINITk0Af1Tt06V/K2QBimdK/qnxQAgGa/lZJzX9U/TFfysUAf1Tnmk21/KzRQB/VMSQcV/KyRg0A4oJyaAP6pySB0r+VoqB3/Om9K/qnx1oAbnnp19acOR0r+VnNf1TAYoAWiiigAooooAKKKKAE71/KxX9U/ev5WKAP6qK/lX7V/VOTiv5WSKAEooxRigD+qiv5V/Sv6qK/lX9KAP6p84xX8rBGDX9UxXOKUAgAZoAWv5V/Sv6p8gV/KzigD+qbOMV/KwRg1/VMRn8KBwAM0AfysgZNf1Tg5pDyCM0AbTQApIHWgHIpCMmv5Wsj0oAQDJr+qfI69qQ8gjNJtx3oAdmv5WOlPBAzX9Ui9OtAH8rFf1TnvX8rFf1TkZoA/lZ9a/qm601gc1/K2evSgBK/qnPev5WK/qnPegD+Vg9aKD1ooAAMmv6pwc0EEgjNIBtNACkgdaAcimtye9fytnr0oA/qnr+Vfriv6p81/K1jFADcUEYNf1SnPX9K/lbI56flQB/VPRRRQAUUUUAFFFFACd6/lYr+qfvX8rFAH9U55oAxX8rFFAH9U+PYUY9hX8rFFAH9U5JAzjNfyskYwfekBwaMkmgD+qcdKWkHSloA/lXzS7iaSigAzRmiigAzSjmko6UAf1S5I96/lbIHrSZr+qfpQB/KwOT1p2Mc579KaDiv6pwBQA0mnL0HGKMDp2r+VgnJo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作者：别先生

博客园：https://www.cnblogs.com/biehongli/

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