(1)秒杀接口地址隐藏。防止有人恶意秒杀
(2)数学公式验证码。也能防止恶意秒杀。并且能够减轻秒杀系统的瞬时流量,减轻并发量。比如:12306的购票需要输入验证码。这样就能将原先瞬间的并发量削减到10s之内。
(3)接口限流防刷。限制一个用户1分钟之内只能访问某个接口10次
思路:秒杀开始之前,先去请求接口获取秒杀地址
(1)在前端点击秒杀抢购的时候,不直接跳转到 /do_miaosha下面,而是先获取秒杀地址 跳转到 /path。
@RequestMapping(value="/path", method=RequestMethod.GET)
@ResponseBody
public Result<String> getMiaoshaPath(HttpServletRequest request, MiaoshaUser user,
@RequestParam("goodsId")long goodsId,
@RequestParam(value="verifyCode", defaultValue="0")int verifyCode
) {
if(user == null) {
return Result.error(CodeMsg.SESSION_ERROR);
}
boolean check = miaoshaService.checkVerifyCode(user, goodsId, verifyCode);
if(!check) {
return Result.error(CodeMsg.REQUEST_ILLEGAL);
}
String path =miaoshaService.createMiaoshaPath(user, goodsId);
return Result.success(path);
}
public String createMiaoshaPath(MiaoshaUser user, long goodsId) {
if(user == null || goodsId <=0) {
return null;
}
String str = MD5Util.md5(UUIDUtil.uuid()+"123456");
redisService.set(MiaoshaKey.getMiaoshaPath, ""+user.getId() + "_"+ goodsId, str);
return str;
}
(2)获取到UUID生成的一个地址后,该地址与userId和goodsId有关,并且保存到redis中。
该地址被返回前端,前端访问 / path/do_miaosha这个地址。用于path是由后台生成的,所以这样就将秒杀地址隐藏起来了不能直接通过/do_miaosha进行秒杀。
(3)在 /{path}/do_miaosha中进行验证秒杀地址是否正确,与redis中的地址进行比较。
@RequestMapping(value="/{path}/do_miaosha", method=RequestMethod.POST)
@ResponseBody
public Result<Integer> miaosha(Model model,MiaoshaUser user,
@RequestParam("goodsId")long goodsId,
@PathVariable("path") String path) {
model.addAttribute("user", user);
if(user == null) {
return Result.error(CodeMsg.SESSION_ERROR);
}
//验证path
boolean check = miaoshaService.checkPath(user, goodsId, path);
if(!check){
return Result.error(CodeMsg.REQUEST_ILLEGAL);
}
//内存标记,减少redis访问
boolean over = localOverMap.get(goodsId);
if(over) {
return Result.error(CodeMsg.MIAO_SHA_OVER);
}
思路:点击秒杀之前,先输入验证码,分散用户的请求
生成验证码,并将验证码计算的结果保存到redis中
@RequestMapping(value="/verifyCode", method=RequestMethod.GET)
@ResponseBody
public Result<String> getMiaoshaVerifyCod(HttpServletResponse response,MiaoshaUser user,
@RequestParam("goodsId")long goodsId) {
if(user == null) {
return Result.error(CodeMsg.SESSION_ERROR);
}
try {
BufferedImage image = miaoshaService.createVerifyCode(user, goodsId);
OutputStream out = response.getOutputStream();
ImageIO.write(image, "JPEG", out);
out.flush();
out.close();
return null;
}catch(Exception e) {
e.printStackTrace();
return Result.error(CodeMsg.MIAOSHA_FAIL);
}
}
public BufferedImage createVerifyCode(MiaoshaUser user, long goodsId) {
if(user == null || goodsId <=0) {
return null;
}
int width = 80;
int height = 32;
//create the image
BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
Graphics g = image.getGraphics();
// set the background color
g.setColor(new Color(0xDCDCDC));
g.fillRect(0, 0, width, height);
// draw the border
g.setColor(Color.black);
g.drawRect(0, 0, width - 1, height - 1);
// create a random instance to generate the codes
Random rdm = new Random();
// make some confusion
for (int i = 0; i < 50; i++) {
int x = rdm.nextInt(width);
int y = rdm.nextInt(height);
g.drawOval(x, y, 0, 0);
}
// generate a random code
String verifyCode = generateVerifyCode(rdm);
g.setColor(new Color(0, 100, 0));
g.setFont(new Font("Candara", Font.BOLD, 24));
g.drawString(verifyCode, 8, 24);
g.dispose();
//把验证码存到redis中
int rnd = calc(verifyCode);
redisService.set(MiaoshaKey.getMiaoshaVerifyCode, user.getId()+","+goodsId, rnd);
//输出图片
return image;
}
在获取秒杀路径path的时候进行,验证码校验,每次验证正确之后需要从redis中删除该验证码。
@RequestMapping(value="/path", method=RequestMethod.GET)
@ResponseBody
public Result<String> getMiaoshaPath(HttpServletRequest request, MiaoshaUser user,
@RequestParam("goodsId")long goodsId,
@RequestParam(value="verifyCode", defaultValue="0")int verifyCode
) {
if(user == null) {
return Result.error(CodeMsg.SESSION_ERROR);
}
//验证码校验
boolean check = miaoshaService.checkVerifyCode(user, goodsId, verifyCode);
if(!check) {
return Result.error(CodeMsg.REQUEST_ILLEGAL);
}
String path =miaoshaService.createMiaoshaPath(user, goodsId);
return Result.success(path);
}
//每次验证过后,需要从redis删除验证码
public boolean checkVerifyCode(MiaoshaUser user, long goodsId, int verifyCode) {
if(user == null || goodsId <=0) {
return false;
}
Integer codeOld = redisService.get(MiaoshaKey.getMiaoshaVerifyCode, user.getId()+","+goodsId, Integer.class);
if(codeOld == null || codeOld - verifyCode != 0 ) {
return false;
}
redisService.delete(MiaoshaKey.getMiaoshaVerifyCode, user.getId()+","+goodsId);
return true;
}
如何统计1分钟内某个用户只能访问10次,采用定时器的方式消耗太大了,需要为每个用户创建一个定时器。我们可以直接用redis来存储某个用户的访问次数(user , times),并且redis的过期时间设置为60s,这样就能统计出一分钟内某个用户的访问次数了,一分钟结束后下一分钟,这个key就被清除了。