[ DB ] CONNECT:[ UseTime:0.000173s ] mysql:host=localhost;dbname=fcmslyw;charset=utf8
[ SQL ] SHOW COLUMNS FROM `fang_city` [ RunTime:0.003470s ]
[ SQL ] SELECT * FROM `fang_city` WHERE `status` = 1 AND `domain` = 'jianhu' LIMIT 1 [ RunTime:0.000267s ]
[ SQL ] SHOW COLUMNS FROM `fang_nav` [ RunTime:0.003305s ]
[ SQL ] SELECT * FROM `fang_nav` WHERE `model` = 'House' LIMIT 1 [ RunTime:0.001232s ]
[ SQL ] SELECT `spid` FROM `fang_city` WHERE `id` = 1041 LIMIT 1 [ RunTime:0.000085s ]
[ SQL ] SELECT `id` FROM `fang_city` WHERE `spid` LIKE '1041|%' [ RunTime:0.000068s ]
[ SQL ] SHOW COLUMNS FROM `fang_house` [ RunTime:0.003323s ]
[ SQL ] SELECT `h`.*,`hd`.`attr`,`hd`.`info`,`hd`.`seo_title`,`hd`.`seo_keys`,`hd`.`seo_desc` FROM `fang_house` `h` INNER JOIN `fang_house_data` `hd` ON `h`.`id`=`hd`.`house_id` WHERE `h`.`status` = '1' AND `h`.`id` = '20220' AND `h`.`city` IN ('1041') LIMIT 1 [ RunTime:0.013231s ]
[ SQL ] SHOW COLUMNS FROM `fang_house_photo` [ RunTime:0.006043s ]
[ SQL ] SELECT `cate_name`,`cate_id`,`url`,`id` FROM `fang_house_photo` WHERE `house_id` = 20220 AND `status` = 1 GROUP BY `cate_id` LIMIT 5 [ RunTime:0.000308s ]
[ SQL ] SHOW COLUMNS FROM `fang_house_type` [ RunTime:0.005949s ]
[ SQL ] SELECT id,room,count(id) as total FROM `fang_house_type` WHERE `house_id` = 20220 AND `status` = 1 GROUP BY `room` ORDER BY `room` [ RunTime:0.000226s ]
[ SQL ] SELECT id,cate_id,count(id) as total FROM `fang_house_photo` WHERE `house_id` = 20220 AND `status` = 1 GROUP BY `cate_id` ORDER BY `ordid` ASC,`id` DESC [ RunTime:0.000305s ]
[ SQL ] UPDATE `fang_house` SET `hits` = `hits` + 1 WHERE `id` = 20220 [ RunTime:0.084214s ]
[ SQL ] SHOW COLUMNS FROM `fang_house_permit` [ RunTime:0.003069s ]
[ SQL ] SELECT * FROM `fang_house_permit` WHERE `house_id` = 20220 ORDER BY `ordid` ASC [ RunTime:0.000183s ]
[ SQL ] SHOW COLUMNS FROM `fang_comment` [ RunTime:0.003044s ]
[ SQL ] SELECT AVG(`price`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 20220 LIMIT 1 [ RunTime:0.000168s ]
[ SQL ] SELECT AVG(`place`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 20220 LIMIT 1 [ RunTime:0.000138s ]
[ SQL ] SELECT AVG(`mating`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 20220 LIMIT 1 [ RunTime:0.000131s ]
[ SQL ] SELECT AVG(`traffic`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 20220 LIMIT 1 [ RunTime:0.000125s ]
[ SQL ] SELECT AVG(`science`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 20220 LIMIT 1 [ RunTime:0.000148s ]
[ SQL ] SHOW COLUMNS FROM `fang_group` [ RunTime:0.003080s ]
[ SQL ] SELECT * FROM `fang_group` WHERE `status` = 1 AND `city` IN (1041,0) AND `end_time` > 1744531210 AND `begin_time` < 1744531210 AND `house_id` = 20220 LIMIT 1 [ RunTime:0.000237s ]
[ SQL ] SHOW COLUMNS FROM `fang_article` [ RunTime:0.003122s ]
[ SQL ] SELECT * FROM `fang_article` WHERE ( `status` = 1 AND `city` IN (1041,0) AND `house_id` = 20220 ) AND `fang_article`.`delete_time` IS NULL ORDER BY `id` DESC LIMIT 2 [ RunTime:0.018822s ]
[ SQL ] SELECT `spid` FROM `fang_city` WHERE `id` = 1041 LIMIT 1 [ RunTime:0.000098s ]
[ SQL ] SELECT `id`,`name`,`alias` FROM `fang_city` WHERE `status` = 1 AND `id` IN (1041) [ RunTime:0.000150s ]
[ SQL ] SELECT * FROM `fang_house` WHERE `status` = 1 AND `city` IN (1041,0) AND `id` <> 20220 AND `city` = 1041 ORDER BY `is_discount` DESC LIMIT 6 [ RunTime:0.000545s ]
[ SQL ] SELECT `id`,`img`,`title`,`room`,`price`,`living_room`,`toilet`,`kitchen`,`sale_status`,`acreage`,`type`,`data`,`characteristic` FROM `fang_house_type` WHERE ( house_id=20220 ) ORDER BY `id` LIMIT 5 [ RunTime:0.000310s ]
[ SQL ] SELECT `id`,`url`,`cate_name`,`title` FROM `fang_house_photo` WHERE ( house_id=20220 and status=1 ) ORDER BY `id` ASC LIMIT 3 [ RunTime:0.000287s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `fang_comment` WHERE ( house_id = 20220 and pid = 0 and status = 1 ) LIMIT 1 [ RunTime:0.000188s ]
[ SQL ] SELECT * FROM `fang_comment` WHERE ( house_id = 20220 and pid = 0 and status = 1 ) ORDER BY `create_time` DESC LIMIT 0,3 [ RunTime:0.000228s ]
