衢州
基本
文件
流程
错误
SQL
调试
- 请求信息 : 2025-02-16 19:38:34 HTTP/1.1 GET : http://quzhou.615.cn/jjr/all-76-1.html
- 运行时间 : 0.139488s [ 吞吐率:7.17req/s ] 内存消耗:4,913.71kb 文件加载:132
- 查询信息 : 16 queries 0 writes
- 缓存信息 : 6 reads,1 writes
- [ LANG ] /newsite/2184/fangcms/615.cn/thinkphp/lang/zh-cn.php
- [ BIND ] 'home'
- [ BIND ] 'home'
- [ ROUTE ] array (
'rule' => 'jjr/<alias>-<tags>-<sort>',
'route' => 'Broker/index',
'option' =>
array (
'merge_rule_regex' => false,
),
'var' =>
array (
'alias' => 'all',
'tags' => '76',
'sort' => '1',
),
)
- [ HEADER ] array (
'host' => 'quzhou.615.cn',
'accept-encoding' => 'gzip, br, zstd, deflate',
'user-agent' => 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)',
'accept' => '*/*',
'content-type' => '',
'content-length' => '',
)
- [ PARAM ] array (
'alias' => 'all',
'tags' => '76',
'sort' => '1',
)
- [ 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:0.000200s ] mysql:host=localhost;dbname=fcmslyw;charset=utf8
- [ SQL ] SHOW COLUMNS FROM `fang_city` [ RunTime:0.001694s ]
- [ SQL ] SELECT * FROM `fang_city` WHERE `status` = 1 AND `domain` = 'quzhou' LIMIT 1 [ RunTime:0.000213s ]
- [ SQL ] SHOW COLUMNS FROM `fang_nav` [ RunTime:0.001481s ]
- [ SQL ] SELECT * FROM `fang_nav` WHERE `model` = 'Broker' LIMIT 1 [ RunTime:0.000229s ]
- [ SQL ] SELECT `spid` FROM `fang_city` WHERE `id` = 125 LIMIT 1 [ RunTime:0.000102s ]
- [ SQL ] SELECT `id` FROM `fang_city` WHERE `spid` LIKE '125|%' [ RunTime:0.000096s ]
- [ SQL ] SHOW COLUMNS FROM `fang_house` [ RunTime:0.001682s ]
- [ SQL ] SELECT COUNT(*) AS tp_count FROM `fang_house` WHERE `status` = 1 AND `broker_id` = 0 LIMIT 1 [ RunTime:0.015055s ]
- [ SQL ] SHOW COLUMNS FROM `fang_second_house` [ RunTime:0.001843s ]
- [ SQL ] SELECT * FROM `fang_second_house` WHERE `status` = 1 AND `rec_position` = 1 AND `broker_id` = 0 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.021633s ]
- [ SQL ] SHOW COLUMNS FROM `fang_rental` [ RunTime:0.001689s ]
- [ SQL ] SHOW COLUMNS FROM `fang_user` [ RunTime:0.001457s ]
- [ 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 ('125','0') AND `u`.`model` <> '1' AND ( find_in_set(76,d.tags) ) LIMIT 1 [ RunTime:0.000267s ]
- [ 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 ('125','0') AND `u`.`model` <> '1' AND ( find_in_set(76,d.tags) ) ORDER BY `point` DESC,`id` DESC LIMIT 0,10 [ RunTime:0.000354s ]
- [ 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 ('125','0') AND `u`.`model` <> '1' AND ( find_in_set(76,d.tags) ) LIMIT 1 [ RunTime:0.000092s ]
- [ SQL ] SELECT * FROM `fang_city` WHERE `status` = 1 AND `pid` = 125 ORDER BY `ordid` ASC,`id` DESC [ RunTime:0.000108s ]
![](data:image/gif;base64,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)
0.161609s