南宁
基本
文件
流程
错误
SQL
调试
- 请求信息 : 2025-02-18 05:00:57 HTTP/1.1 GET : http://nn.615.cn/jjr/
- 运行时间 : 0.266506s [ 吞吐率：3.75req/s ] 内存消耗：4,935.69kb 文件加载：134
- 查询信息 : 18 queries 0 writes
- 缓存信息 : 5 reads,1 writes
- [ LANG ] /newsite/2184/fangcms/615.cn/thinkphp/lang/zh-cn.php
- [ BIND ] 'home'
- [ BIND ] 'home'
- [ ROUTE ] array (
'rule' => 'jjr',
'route' => 'Broker/index',
'option' =>
array (
'merge_rule_regex' => false,
),
'var' =>
array (
),
)
- [ HEADER ] array (
'connection' => 'Keep-Alive',
'host' => 'nn.615.cn',
'accept-encoding' => 'br,gzip',
'accept-language' => 'en-US,en;q=0.5',
'accept' => 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'user-agent' => 'CCBot/2.0 (https://commoncrawl.org/faq/)',
'content-type' => '',
'content-length' => '',
)
- [ PARAM ] array (
)
- [ DB ] INIT mysql
- [ VIEW ] /newsite/2184/fangcms/615.cn/application/home/view/broker/index.html [ array (
0 => 'userInfo',
1 => 'seo',
2 => 'menu',
3 => 'site',
4 => 'city_list',
5 => 'hot_city',
6 => 'city_data',
7 => 'az',
8 => 'city_info',
9 => 'controller',
10 => 'nav_controller',
11 => 'keyword',
12 => 'action',
13 => 'second_list',
14 => 'house_count',
15 => 'arr',
16 => 'tags',
) ]
- [ DB ] CONNECT:[ UseTime:0.000152s ] mysql:host=localhost;dbname=fcmslyw;charset=utf8
- [ SQL ] SHOW COLUMNS FROM `fang_city` [ RunTime:0.002854s ]
- [ SQL ] SELECT * FROM `fang_city` WHERE `status` = 1 AND `domain` = 'nn' LIMIT 1 [ RunTime:0.000242s ]
- [ SQL ] SHOW COLUMNS FROM `fang_nav` [ RunTime:0.004177s ]
- [ SQL ] SELECT * FROM `fang_nav` WHERE `model` = 'Broker' LIMIT 1 [ RunTime:0.000350s ]
- [ SQL ] SELECT `spid` FROM `fang_city` WHERE `id` = 252 LIMIT 1 [ RunTime:0.000195s ]
- [ SQL ] SELECT `id` FROM `fang_city` WHERE `spid` LIKE '252|%' [ RunTime:0.000190s ]
- [ SQL ] SHOW COLUMNS FROM `fang_house` [ RunTime:0.005088s ]
- [ SQL ] SELECT COUNT(*) AS tp_count FROM `fang_house` WHERE `status` = 1 AND `broker_id` = 0 LIMIT 1 [ RunTime:0.017235s ]
- [ SQL ] SHOW COLUMNS FROM `fang_second_house` [ RunTime:0.003362s ]
- [ SQL ] SELECT * FROM `fang_second_house` WHERE `status` = 1 AND `rec_position` = 1 AND `broker_id` = 0 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.032200s ]
- [ SQL ] SHOW COLUMNS FROM `fang_rental` [ RunTime:0.004409s ]
- [ SQL ] SHOW COLUMNS FROM `fang_user` [ RunTime:0.002984s ]
- [ SQL ] SELECT COUNT(*) AS tp_count FROM `fang_user` `u` INNER JOIN `fang_user_info` `d` ON `u`.`id`=`d`.`user_id` WHERE `u`.`status` = '1' AND `u`.`city` IN ('252','0') AND `u`.`model` <> '1' LIMIT 1 [ RunTime:0.000383s ]
- [ SQL ] SELECT u.id,u.user_name,u.nick_name,u.mobile,u.cate_id,d.service_area,d.company,d.history_complate,d.tags,d.point,(FORMAT((d.point/5)*100,0)) as goods,( SELECT count(id) as second_total FROM `fang_second_house` WHERE `broker_id` = u.id AND `status` = 1 ) as second_total,( SELECT count(id) as second_total FROM `fang_rental` WHERE `broker_id` = u.id AND `status` = 1 ) as rental_total FROM `fang_user` `u` INNER JOIN `fang_user_info` `d` ON `u`.`id`=`d`.`user_id` WHERE `u`.`status` = '1' AND `u`.`city` IN ('252','0') AND `u`.`model` <> '1' ORDER BY `id` DESC LIMIT 0,10 [ RunTime:0.022830s ]
- [ SQL ] SELECT COUNT(*) AS tp_count FROM `fang_user` `u` INNER JOIN `fang_user_info` `d` ON `u`.`id`=`d`.`user_id` WHERE `u`.`status` = '1' AND `u`.`city` IN ('252','0') AND `u`.`model` <> '1' LIMIT 1 [ RunTime:0.001593s ]
- [ SQL ] SELECT * FROM `fang_city` WHERE `status` = 1 AND `pid` = 252 ORDER BY `ordid` ASC,`id` DESC [ RunTime:0.000234s ]
- [ SQL ] SHOW COLUMNS FROM `fang_user_comment` [ RunTime:0.025335s ]
- [ SQL ] SELECT COUNT(*) AS tp_count FROM `fang_user_comment` WHERE `status` = 1 AND `user_id` = 17 LIMIT 1 [ RunTime:0.000757s ]
0.303305s
