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README
Apache-2.0

分布式秒杀系统

交流群:933593697

小伙伴们运行前一定要看文档说明:https://gitee.com/52itstyle/spring-boot-seckill/wikis

墙裂推荐,一个能够让程序猿快速开发的极简工具箱:https://gitee.com/52itstyle/SPTools

分库分表案例

1)分表案例

2)分库分表案例

3)读写分离案例

4)分库分表读写分离案例

抢红包案例

微信高并发抢红包秒杀实战案例

微信抢红包过期失效实战案例

推荐一款高效的处理延迟任务神器

推荐一款基于Redis的高可用延迟队列

推荐

小黄图床:https://tools.cloudbed.vip

妹子图小程序:https://gitee.com/52itstyle/mzitu

快速开发:https://gitee.com/52itstyle/SPTools

支付服务:https://gitee.com/52itstyle/spring-boot-pay

任务调度:https://gitee.com/52itstyle/spring-boot-quartz

邮件服务:https://gitee.com/52itstyle/spring-boot-mail

搜索服务:https://gitee.com/52itstyle/spring-boot-elasticsearch

私人网盘:https://gitee.com/52itstyle/spring-boot-CloudDisk

开发环境

JDK1.8、Maven、Mysql、IntelliJ IDEA、SpringBoot1.5.10、zookeeper3.4.6、kafka_2.11、redis-2.8.4、curator-2.10.0

win环境redis:https://gitee.com/52itstyle/spring-boot-seckill/tree/master/src/main/resources/redis

启动说明

  • 启动前 请配置 application.properties 中相关redis、zk以及kafka相关地址,建议在Linux下安装使用。

  • 数据库脚本位于 src/main/resource/sql 下面,启动前请自行导入。

  • 配置完成,运行Application中的main方法,访问 http://localhost:8080/seckill/swagger-ui.html 进行API测试。

  • 秒杀商品页:http://localhost:8080/seckill/index.shtml ,部分功能待完成。

  • 本测试案例单纯为了学习,某些案例并不适用于生产环境,大家根据所需自行调整。

测试入口

http://localhost:8080/seckill/swagger-ui.html

API

项目截图

秒杀商品列表

商品详情页

秒杀验证码

友情提示

由于工作原因,项目正在完善中(仅供参考),随时更新日志,有疑问请留言或者加群

项目介绍

SpringBoot开发案例从0到1构建分布式秒杀系统,项目案例基本成型,逐步完善中。

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秒杀场景

秒杀场景无非就是多个用户在同时抢购一件或者多件商品,专用词汇就是所谓的高并发。现实中经常被大家喜闻乐见的场景,一群大妈抢购打折鸡蛋的画面一定不会陌生,如此场面让服务员大姐很无奈,赶上不要钱了。

输入图片说明

业务特点

  • 瞬间高并发、电脑旁边的小哥哥、小姐姐们如超市哄抢的大妈一般,疯狂的点着鼠标
  • 库存少、便宜、稀缺限量,值得大家去抢购,如苹果肾,小米粉,锤子粉(理解万岁)

用户规模

用户规模可大可小,几百或者上千人的活动单体架构足以可以应付,简单的加锁、进程内队列就可以轻松搞定。一旦上升到百万、千万级别的规模就要考虑分布式集群来应对瞬时高并发。

秒杀架构

输入图片说明

很多小伙伴问架构图是怎么画的,这里推荐一款在线作图工具 :processon

架构层级

  • 一般商家在做活动的时候,经常会遇到各种不怀好意的DDOS攻击(利用无辜的吃瓜群众夺取资源),导致真正的我们无法获得服务!所以说高防IP还是很有必要的。

  • 搞活动就意味着人多,接入SLB,对多台云服务器进行流量分发,可以通过流量分发扩展应用系统对外的服务能力,通过消除单点故障提升应用系统的可用性。

  • 基于SLB价格以及灵活性考虑后面我们接入Nginx做限流分发,来保障后端服务的正常运行。

  • 后端秒杀业务逻辑,基于Redis 或者 Zookeeper 分布式锁,Kafka 或者 Redis 做消息队列,DRDS数据库中间件实现数据的读写分离。

优化思路

  • 分流、分流、分流,重要的事情说三遍,再牛逼的机器也抵挡不住高级别的并发。

  • 限流、限流、限流,毕竟秒杀商品有限,防刷的前提下没有绝对的公平,根据每个服务的负载能力,设定流量极限。

  • 缓存、缓存、缓存、尽量不要让大量请求穿透到DB层,活动开始前商品信息可以推送至分布式缓存。

  • 异步、异步、异步,分析并识别出可以异步处理的逻辑,比如日志,缩短系统响应时间。

  • 主备、主备、主备,如果有条件做好主备容灾方案也是非常有必要的(参考某年锤子的活动被攻击)。

  • 最后,为了支撑更高的并发,追求更好的性能,可以对服务器的部署模型进行优化,部分请求走正常的秒杀流程,部分请求直接返回秒杀失败,缺点是开发部署时需要维护两套逻辑。

分层优化

  • 前端优化:活动开始前生成静态商品页面推送缓存和CDN,静态文件(JS/CSS)请求推送至文件服务器和CDN。
  • 网络优化:如果是全国用户,最好是BGP多线机房,减少网络延迟。
  • 应用服务优化:Nginx最佳配置、Tomcat连接池优化、数据库配置优化、数据库连接池优化。

全链路压测

  • 分析需压测业务场景涉及系统
  • 协调各个压测系统资源并搭建压测环境
  • 压测数据隔离以及监控(响应时间、吞吐量、错误率等数据以图表形式实时显示)
  • 压测结果统计(平均响应时间、平均吞吐量等数据以图表形式在测试结束后显示)
  • 优化单个系统性能、关联流程以及整个业务流程

整个压测优化过程就是一个不断优化不断改进的过程,事先通过测试不断发现问题,优化系统,避免问题,指定应急方案,才能让系统的稳定性和性能都得到质的提升。

数据采集监控

分布式跟踪工具Pinpoint初探

Grafana+Telegraf+Influxdb监控Tomcat集群方案

Grafana+Prometheus系统监控之MySql

Grafana+Prometheus系统监控之Redis

Grafana+Prometheus系统监控之SpringBoot

阿里巴巴 Sentinel + InfluxDB + Chronograf 实现监控大屏

SpringBoot 2.0 + InfluxDB+ Sentinel 实时监控数据存储

SpringBoot 2.0 + Nacos + Sentinel 流控规则集中存储

SpringBoot 2.0 + 阿里巴巴 Sentinel 动态限流实战

代码案例

可能秒杀架构原理大家都懂,网上也有不少实现方式,但大多都是文字的描述,告诉你如何如何,什么加锁、缓存、队列之类。但很少全面有的案例告诉你如何去做,既然是从0到1,希望以下代码案例可以帮助到你。当然最终落实到生产,还有很长的路要走,要根据自己的业务进行编码,实施并部署。

你将会在代码案例中学到以下知识:

  • 如何搭建SpringBoot微服务
  • ThreadPoolExecutor线程池的使用
  • ReentrantLock和Synchronized的使用场景
  • 数据库锁机制(悲观锁、乐观锁)
  • 分布式锁(RedissLock、Zookeeper)
  • 进程内消息队列(LinkedBlockingQueue、ArrayBlockingQueue、ConcurrentLinkedQueue)
  • 分布式消息队列(Redis、Kafka)
  • AOP实现切面锁
  • Disruptor高效队列
  • 商品详情页静态化
  • 微信高并发抢红包秒杀实战案例

代码结构:

      
├─src
│  ├─main
│  │  ├─java
│  │  │  └─com
│  │  │      └─itstyle
│  │  │          └─seckill
│  │  │              │  Application.java
│  │  │              │  
│  │  │              ├─common
│  │  │              │  ├─aop
│  │  │              │  │      LockAspect.java
│  │  │              │  │      Servicelock.java
│  │  │              │  │      
│  │  │              │  ├─api
│  │  │              │  │      SwaggerConfig.java
│  │  │              │  │      
│  │  │              │  ├─config
│  │  │              │  │      IndexController.java
│  │  │              │  │      SpringUtil.java
│  │  │              │  │      
│  │  │              │  ├─dynamicquery
│  │  │              │  │      DynamicQuery.java
│  │  │              │  │      DynamicQueryImpl.java
│  │  │              │  │      NativeQueryResultEntity.java
│  │  │              │  │      
│  │  │              │  ├─entity
│  │  │              │  │      Result.java
│  │  │              │  │      Seckill.java
│  │  │              │  │      SuccessKilled.java
│  │  │              │  │      
│  │  │              │  ├─enums
│  │  │              │  │      SeckillStatEnum.java
│  │  │              │  │      
│  │  │              │  ├─interceptor
│  │  │              │  │      MyAdapter.java
│  │  │              │  │      
│  │  │              │  ├─lock
│  │  │              │  │      LockDemo.java
│  │  │              │  │      
│  │  │              │  └─redis
│  │  │              │          RedisConfig.java
│  │  │              │          RedisUtil.java
│  │  │              │          
│  │  │              ├─distributedlock
│  │  │              │  ├─redis
│  │  │              │  │      RedissLockDemo.java
│  │  │              │  │      RedissLockUtil.java
│  │  │              │  │      RedissonAutoConfiguration.java
│  │  │              │  │      RedissonProperties.java
│  │  │              │  │      
│  │  │              │  └─zookeeper
│  │  │              │          ZkLockUtil.java
│  │  │              │          
│  │  │              ├─queue
│  │  │              │  ├─disruptor
│  │  │              │  │      DisruptorUtil.java
│  │  │              │  │      SeckillEvent.java
│  │  │              │  │      SeckillEventConsumer.java
│  │  │              │  │      SeckillEventFactory.java
│  │  │              │  │      SeckillEventMain.java
│  │  │              │  │      SeckillEventProducer.java
│  │  │              │  │      
│  │  │              │  ├─jvm
│  │  │              │  │      SeckillQueue.java
│  │  │              │  │      TaskRunner.java
│  │  │              │  │      
│  │  │              │  ├─kafka
│  │  │              │  │      KafkaConsumer.java
│  │  │              │  │      KafkaSender.java
│  │  │              │  │      
│  │  │              │  └─redis
│  │  │              │          RedisConsumer.java
│  │  │              │          RedisSender.java
│  │  │              │          RedisSubListenerConfig.java
│  │  │              │          
│  │  │              ├─repository
│  │  │              │      SeckillRepository.java
│  │  │              │      
│  │  │              ├─service
│  │  │              │  │  ICreateHtmlService.java
│  │  │              │  │  ISeckillDistributedService.java
│  │  │              │  │  ISeckillService.java
│  │  │              │  │  
│  │  │              │  └─impl
│  │  │              │          CreateHtmlServiceImpl.java
│  │  │              │          SeckillDistributedServiceImpl.java
│  │  │              │          SeckillServiceImpl.java
│  │  │              │          
│  │  │              └─web
│  │  │                      CreateHtmlController.java
│  │  │                      SeckillController.java
│  │  │                      SeckillDistributedController.java
│  │  │                      
│  │  ├─resources
│  │  │  │  application.properties
│  │  │  │  logback-spring.xml
│  │  │  │  
│  │  │  ├─sql
│  │  │  │      seckill.sql
│  │  │  │      
│  │  │  ├─static
│  │  │  │  ├─goods
│  │  │  │  │  ├─images
│  │  │  │  │  │  │      
│  │  │  │  │  │  └─shopdetail
│  │  │  │  │  │          
│  │  │  │  │  ├─js
│  │  │  │  │  │      common.js
│  │  │  │  │  │      jquery-1.9.1.min.js
│  │  │  │  │  │      
│  │  │  │  │  └─style
│  │  │  │  │          shopdetail.css
│  │  │  │  │          
│  │  │  │  ├─iview
│  │  │  │  │  │  iview.css
│  │  │  │  │  │  iview.min.js
│  │  │  │  │  │  
│  │  │  │  │  └─fonts
│  │  │  │  │          ionicons.eot
│  │  │  │  │          ionicons.svg
│  │  │  │  │          ionicons.ttf
│  │  │  │  │          ionicons.woff
│  │  │  │  │          
│  │  │  │  └─template
│  │  │  │          goods.flt
│  │  │  │          
│  │  │  └─templates
│  │  │          1000.html
│  │  │          1001.html
│  │  │          1002.html
│  │  │          1003.html
│  │  │          index.html
│  │  │          

单机

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分布式锁应该具备哪些条件

  • 在分布式系统环境下,一个方法在同一时间只能被一个机器的一个线程执行;
  • 高可用的获取锁与释放锁;
  • 高性能的获取锁与释放锁;
  • 具备可重入特性;
  • 具备锁失效机制,防止死锁;
  • 具备非阻塞锁特性,即没有获取到锁将直接返回获取锁失败。

分布式锁

  • 基于数据库实现分布式锁;
  • 基于缓存(Redis等)实现分布式锁;
  • 基于Zookeeper实现分布式锁;

思考改进

  • 如何防止单个用户重复秒杀下单?
  • 如何防止恶意调用秒杀接口?
  • 如果用户秒杀成功,一直不支付该怎么办?
  • 消息队列处理完成后,如果异步通知给用户秒杀成功?
  • 如何保障 Redis、Zookeeper 、Kafka 服务的正常运行(高可用)?
  • 高并发下秒杀业务如何做到不影响其他业务(隔离性)?

可供参考

微信高并发抢红包秒杀实战案例

三分钟深入TT猫之故障转移

三分钟读懂TT猫分布式、微服务和集群之路

淘宝大秒系统设计详解

SpringBoot开发案例从0到1构建分布式秒杀系统

SpringBoot开发案例之整合Kafka实现消息队列

Docker学习之搭建ActiveMQ消息服务

从构建分布式秒杀系统聊聊Threadpool线程池

从构建分布式秒杀系统聊聊Disruptor高性能队列

从构建分布式秒杀系统聊聊商品详情页静态化

构建分布式秒杀系统聊聊Lock锁使用中的坑

从构建分布式秒杀系统聊聊限流特技

从构建分布式秒杀系统聊聊WebSocket推送通知

从构建分布式秒杀系统聊聊分布式锁

从构建分布式秒杀系统聊聊重复下单

从构建分布式秒杀系统聊聊验证码

Nginx学习之负载均衡

Nginx学习之如何防止流量攻击

Nginx学习之缓存配置

Nginx学习之HTTP/2.0配置

企业云解析DNS

Linux下搭建ZooKeeper集群

linux下redis设置密码登录

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