标签:tin echo ace software 虚拟 并发测试 成功 query status
抢购、秒杀是如今很常见的一个应用场景,主要需要解决的问题有两个:
1 高并发对数据库产生的压力
2 竞争状态下如何解决库存的正确减少("超卖"问题)
对于第一个问题,已经很容易想到用缓存来处理抢购,避免直接操作数据库,例如使用Redis。
重点在于第二个问题
常规写法:
查询出对应商品的库存,看是否大于0,然后执行生成订单等操作,但是在判断库存是否大于0处,如果在高并发下就会有问题,导致库存量出现负数
- <?php
- $conn=mysql_connect("localhost","big","123456");
- if(!$conn){
- echo "connect failed";
- exit;
- }
- mysql_select_db("big",$conn);
- mysql_query("set names utf8");
-
- $price=10;
- $user_id=1;
- $goods_id=1;
- $sku_id=11;
- $number=1;
-
- function build_order_no(){
- return date(‘ymd‘).substr(implode(NULL, array_map(‘ord‘, str_split(substr(uniqid(), 7, 13), 1))), 0, 8);
- }
- function insertLog($event,$type=0){
- global $conn;
- $sql="insert into ih_log(event,type)
- values(‘$event‘,‘$type‘)";
- mysql_query($sql,$conn);
- }
-
- $sql="select number from ih_store where goods_id=‘$goods_id‘ and sku_id=‘$sku_id‘";
- $rs=mysql_query($sql,$conn);
- $row=mysql_fetch_assoc($rs);
- if($row[‘number‘]>0){
- $order_sn=build_order_no();
-
- $sql="insert into ih_order(order_sn,user_id,goods_id,sku_id,price)
- values(‘$order_sn‘,‘$user_id‘,‘$goods_id‘,‘$sku_id‘,‘$price‘)";
- $order_rs=mysql_query($sql,$conn);
-
-
- $sql="update ih_store set number=number-{$number} where sku_id=‘$sku_id‘";
- $store_rs=mysql_query($sql,$conn);
- if(mysql_affected_rows()){
- insertLog(‘库存减少成功‘);
- }else{
- insertLog(‘库存减少失败‘);
- }
- }else{
- insertLog(‘库存不够‘);
- }
- ?>
优化方案1:将库存字段number字段设为unsigned,当库存为0时,因为字段不能为负数,将会返回false
- $sql="update ih_store set number=number-{$number} where sku_id=‘$sku_id‘ and number>0";
- $store_rs=mysql_query($sql,$conn);
- if(mysql_affected_rows()){
- insertLog(‘库存减少成功‘);
- }
优化方案2:使用MySQL的事务,锁住操作的行
- <?php
- $conn=mysql_connect("localhost","big","123456");
- if(!$conn){
- echo "connect failed";
- exit;
- }
- mysql_select_db("big",$conn);
- mysql_query("set names utf8");
-
- $price=10;
- $user_id=1;
- $goods_id=1;
- $sku_id=11;
- $number=1;
-
- function build_order_no(){
- return date(‘ymd‘).substr(implode(NULL, array_map(‘ord‘, str_split(substr(uniqid(), 7, 13), 1))), 0, 8);
- }
- function insertLog($event,$type=0){
- global $conn;
- $sql="insert into ih_log(event,type)
- values(‘$event‘,‘$type‘)";
- mysql_query($sql,$conn);
- }
-
- mysql_query("BEGIN");
- $sql="select number from ih_store where goods_id=‘$goods_id‘ and sku_id=‘$sku_id‘ FOR UPDATE";
- $rs=mysql_query($sql,$conn);
- $row=mysql_fetch_assoc($rs);
- if($row[‘number‘]>0){
-
- $order_sn=build_order_no();
- $sql="insert into ih_order(order_sn,user_id,goods_id,sku_id,price)
- values(‘$order_sn‘,‘$user_id‘,‘$goods_id‘,‘$sku_id‘,‘$price‘)";
- $order_rs=mysql_query($sql,$conn);
-
-
- $sql="update ih_store set number=number-{$number} where sku_id=‘$sku_id‘";
- $store_rs=mysql_query($sql,$conn);
- if(mysql_affected_rows()){
- insertLog(‘库存减少成功‘);
- mysql_query("COMMIT");
- }else{
- insertLog(‘库存减少失败‘);
- }
- }else{
- insertLog(‘库存不够‘);
- mysql_query("ROLLBACK");
- }
- ?>
优化方案3:使用非阻塞的文件排他锁
- <?php
- $conn=mysql_connect("localhost","root","123456");
- if(!$conn){
- echo "connect failed";
- exit;
- }
- mysql_select_db("big-bak",$conn);
- mysql_query("set names utf8");
-
- $price=10;
- $user_id=1;
- $goods_id=1;
- $sku_id=11;
- $number=1;
-
- function build_order_no(){
- return date(‘ymd‘).substr(implode(NULL, array_map(‘ord‘, str_split(substr(uniqid(), 7, 13), 1))), 0, 8);
- }
- function insertLog($event,$type=0){
- global $conn;
- $sql="insert into ih_log(event,type)
- values(‘$event‘,‘$type‘)";
- mysql_query($sql,$conn);
- }
-
- $fp = fopen("lock.txt", "w+");
- if(!flock($fp,LOCK_EX | LOCK_NB)){
- echo "系统繁忙,请稍后再试";
- return;
- }
- $sql="select number from ih_store where goods_id=‘$goods_id‘ and sku_id=‘$sku_id‘";
- $rs=mysql_query($sql,$conn);
- $row=mysql_fetch_assoc($rs);
- if($row[‘number‘]>0){
-
- $order_sn=build_order_no();
- $sql="insert into ih_order(order_sn,user_id,goods_id,sku_id,price)
- values(‘$order_sn‘,‘$user_id‘,‘$goods_id‘,‘$sku_id‘,‘$price‘)";
- $order_rs=mysql_query($sql,$conn);
-
-
- $sql="update ih_store set number=number-{$number} where sku_id=‘$sku_id‘";
- $store_rs=mysql_query($sql,$conn);
- if(mysql_affected_rows()){
- insertLog(‘库存减少成功‘);
- flock($fp,LOCK_UN);
- }else{
- insertLog(‘库存减少失败‘);
- }
- }else{
- insertLog(‘库存不够‘);
- }
- fclose($fp);
优化方案4:使用redis队列,因为pop操作是原子的,即使有很多用户同时到达,也是依次执行,推荐使用(mysql事务在高并发下性能下降很厉害,文件锁的方式也是)
先将商品库存如队列
- <?php
- $store=1000;
- $redis=new Redis();
- $result=$redis->connect(‘127.0.0.1‘,6379);
- $res=$redis->llen(‘goods_store‘);
- echo $res;
- $count=$store-$res;
- for($i=0;$i<$count;$i++){
- $redis->lpush(‘goods_store‘,1);
- }
- echo $redis->llen(‘goods_store‘);
- ?>
抢购、描述逻辑
- <?php
- $conn=mysql_connect("localhost","big","123456");
- if(!$conn){
- echo "connect failed";
- exit;
- }
- mysql_select_db("big",$conn);
- mysql_query("set names utf8");
-
- $price=10;
- $user_id=1;
- $goods_id=1;
- $sku_id=11;
- $number=1;
-
- function build_order_no(){
- return date(‘ymd‘).substr(implode(NULL, array_map(‘ord‘, str_split(substr(uniqid(), 7, 13), 1))), 0, 8);
- }
- function insertLog($event,$type=0){
- global $conn;
- $sql="insert into ih_log(event,type)
- values(‘$event‘,‘$type‘)";
- mysql_query($sql,$conn);
- }
-
- $redis=new Redis();
- $result=$redis->connect(‘127.0.0.1‘,6379);
- $count=$redis->lpop(‘goods_store‘);
- if(!$count){
- insertLog(‘error:no store redis‘);
- return;
- }
-
- $order_sn=build_order_no();
- $sql="insert into ih_order(order_sn,user_id,goods_id,sku_id,price)
- values(‘$order_sn‘,‘$user_id‘,‘$goods_id‘,‘$sku_id‘,‘$price‘)";
- $order_rs=mysql_query($sql,$conn);
-
- $sql="update ih_store set number=number-{$number} where sku_id=‘$sku_id‘";
- $store_rs=mysql_query($sql,$conn);
- if(mysql_affected_rows()){
- insertLog(‘库存减少成功‘);
- }else{
- insertLog(‘库存减少失败‘);
- }
模拟5000高并发测试
webbench -c 5000 -t 60 http://192.168.1.198/big/index.php
ab -r -n 6000 -c 5000 http://192.168.1.198/big/index.php
上述只是简单模拟高并发下的抢购,真实场景要比这复杂很多,很多注意的地方
如抢购页面做成静态的,通过ajax调用接口
再如上面的会导致一个用户抢多个,思路:
需要一个排队队列和抢购结果队列及库存队列。高并发情况,先将用户进入排队队列,用一个线程循环处理从排队队列取出一个用户,判断用户是否已在抢购结果队列,如果在,则已抢购,否则未抢购,库存减1,写数据库,将用户入结果队列。
测试数据表
- --
- -- 数据库: `big`
- --
-
- -- --------------------------------------------------------
-
- --
- -- 表的结构 `ih_goods`
- --
-
-
- CREATE TABLE IF NOT EXISTS `ih_goods` (
- `goods_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
- `cat_id` int(11) NOT NULL,
- `goods_name` varchar(255) NOT NULL,
- PRIMARY KEY (`goods_id`)
- ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=2 ;
-
-
- --
- -- 转存表中的数据 `ih_goods`
- --
-
-
- INSERT INTO `ih_goods` (`goods_id`, `cat_id`, `goods_name`) VALUES
- (1, 0, ‘小米手机‘);
-
- -- --------------------------------------------------------
-
- --
- -- 表的结构 `ih_log`
- --
-
- CREATE TABLE IF NOT EXISTS `ih_log` (
- `id` int(11) NOT NULL AUTO_INCREMENT,
- `event` varchar(255) NOT NULL,
- `type` tinyint(4) NOT NULL DEFAULT ‘0‘,
- `addtime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
- PRIMARY KEY (`id`)
- ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=1 ;
-
- --
- -- 转存表中的数据 `ih_log`
- --
-
-
- -- --------------------------------------------------------
-
- --
- -- 表的结构 `ih_order`
- --
-
- CREATE TABLE IF NOT EXISTS `ih_order` (
- `id` int(11) NOT NULL AUTO_INCREMENT,
- `order_sn` char(32) NOT NULL,
- `user_id` int(11) NOT NULL,
- `status` int(11) NOT NULL DEFAULT ‘0‘,
- `goods_id` int(11) NOT NULL DEFAULT ‘0‘,
- `sku_id` int(11) NOT NULL DEFAULT ‘0‘,
- `price` float NOT NULL,
- `addtime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
- PRIMARY KEY (`id`)
- ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT=‘订单表‘ AUTO_INCREMENT=1 ;
-
- --
- -- 转存表中的数据 `ih_order`
- --
-
-
- -- --------------------------------------------------------
-
- --
- -- 表的结构 `ih_store`
- --
-
- CREATE TABLE IF NOT EXISTS `ih_store` (
- `id` int(11) NOT NULL AUTO_INCREMENT,
- `goods_id` int(11) NOT NULL,
- `sku_id` int(10) unsigned NOT NULL DEFAULT ‘0‘,
- `number` int(10) NOT NULL DEFAULT ‘0‘,
- `freez` int(11) NOT NULL DEFAULT ‘0‘ COMMENT ‘虚拟库存‘,
- PRIMARY KEY (`id`)
- ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT=‘库存‘ AUTO_INCREMENT=2 ;
-
- --
- -- 转存表中的数据 `ih_store`
- --
-
- INSERT INTO `ih_store` (`id`, `goods_id`, `sku_id`, `number`, `freez`) VALUES
- (1, 1, 11, 500, 0);
php结合redis实现高并发下的抢购、秒杀功能
标签:tin echo ace software 虚拟 并发测试 成功 query status
原文地址:http://www.cnblogs.com/ghjbk/p/6745216.html