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<?php 第一种,简单实现
$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' );
} ?>. 第二种,使用mysql锁行的方式
<?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" );
} ?> 第三种,使用非阻塞的文件排他锁
<?php
第四种,使用redis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' );
?> 原博文:https://www.cnblogs.com/hangxing1996/p/6783027.html
<?php 第一种,简单实现
$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' );
} ?>. 第二种,使用mysql锁行的方式
<?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" );
} ?> 第三种,使用非阻塞的文件排他锁
<?php
第四种,使用redis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' );
?> 原博文:https://www.cnblogs.com/hangxing1996/p/6783027.html
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