php结合redis实现高并发下的抢购、秒杀功能的实例
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
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<?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; //生成唯一订单 function build_order_no(){ return date ( 'ymd' ). substr (implode(NULL, array_map ( 'ord' , str_split ( substr (uniqid(), 7, 13), 1))), 0, 8); } //记录日志 function insertLog( $event , $type =0){ global $conn ; $sql ="insert into ih_log(event,type) values( '$event' , '$type' )"; mysql_query( $sql , $conn ); } //模拟下单操作 //库存是否大于0 $sql = "select number from ih_store where goods_id='$goods_id' and sku_id='$sku_id'" ; //解锁 此时ih_store数据中goods_id='$goods_id' and sku_id='$sku_id' 的数据被锁住(注3),其它事务必须等待此次事务 提交后才能执行 $rs =mysql_query( $sql , $conn ); $row =mysql_fetch_assoc( $rs ); if ( $row [ 'number' ]>0){ //高并发下会导致超卖 $order_sn =build_order_no(); //生成订单 $sql ="insert into ih_order(order_sn,user_id,goods_id,sku_id,price) values( '$order_sn' , '$user_id' , '$goods_id' , '$sku_id' , '$price' )"; $order_rs =mysql_query( $sql , $conn ); //库存减少 $sql = "update ih_store set number=number-{$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
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//库存减少 $sql = "update ih_store set number=number-{$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
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<?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; //生成唯一订单号 function build_order_no(){ return date ( 'ymd' ). substr (implode(NULL, array_map ( 'ord' , str_split ( substr (uniqid(), 7, 13), 1))), 0, 8); } //记录日志 function insertLog( $event , $type =0){ global $conn ; $sql ="insert into ih_log(event,type) values( '$event' , '$type' )"; mysql_query( $sql , $conn ); } //模拟下单操作 //库存是否大于0 mysql_query( "BEGIN" ); //开始事务 $sql = "select number from ih_store where goods_id='$goods_id' and sku_id='$sku_id' FOR UPDATE" ; //此时这条记录被锁住,其它事务必须等待此次事务提交后才能执行 $rs =mysql_query( $sql , $conn ); $row =mysql_fetch_assoc( $rs ); if ( $row [ 'number' ]>0){ //生成订单 $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 ); //库存减少 $sql = "update ih_store set number=number-{$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" ); //事务提交即解锁 } 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
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<?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; //生成唯一订单号 function build_order_no(){ return date ( 'ymd' ). substr (implode(NULL, array_map ( 'ord' , str_split ( substr (uniqid(), 7, 13), 1))), 0, 8); } //记录日志 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 ; } //下单 $sql = "select number from ih_store where goods_id='$goods_id' and sku_id='$sku_id'" ; $rs =mysql_query( $sql , $conn ); $row =mysql_fetch_assoc( $rs ); if ( $row [ 'number' ]>0){ //库存是否大于0 //模拟下单操作 $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 ); //库存减少 $sql = "update ih_store set number=number-{$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); //释放锁 } 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
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<?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
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<?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; //生成唯一订单号 function build_order_no(){ return date ( 'ymd' ). substr (implode(NULL, array_map ( 'ord' , str_split ( substr (uniqid(), 7, 13), 1))), 0, 8); } //记录日志 function insertLog( $event , $type =0){ global $conn ; $sql ="insert into ih_log(event,type) values( '$event' , '$type' )"; mysql_query( $sql , $conn ); } //模拟下单操作 //下单前判断redis队列库存量 $redis = new Redis(); $result = $redis ->connect( '127.0.0.1' ,6379); $count = $redis ->lpop( 'goods_store' ); if (! $count ){ insertLog( 'error:no store redis' ); return ; } //生成订单 $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 ); //库存减少 $sql = "update ih_store set number=number-{$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
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-- -- 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); |