[ DB ] CONNECT:[ UseTime:0.000337s ] mysql:host=localhost;dbname=fcmslyw;charset=utf8
[ SQL ] SHOW COLUMNS FROM `fang_city` [ RunTime:0.003661s ]
[ SQL ] SELECT * FROM `fang_city` WHERE `status` = 1 AND `domain` = 'xingan' LIMIT 1 [ RunTime:0.002632s ]
[ SQL ] SHOW COLUMNS FROM `fang_nav` [ RunTime:0.003344s ]
[ SQL ] SELECT * FROM `fang_nav` WHERE `model` = 'House' LIMIT 1 [ RunTime:0.000237s ]
[ SQL ] SELECT `spid` FROM `fang_city` WHERE `id` = 6678 LIMIT 1 [ RunTime:0.000266s ]
[ SQL ] SELECT `id` FROM `fang_city` WHERE `spid` LIKE '6678|%' [ RunTime:0.000845s ]
[ SQL ] SHOW COLUMNS FROM `fang_house` [ RunTime:0.003307s ]
[ 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` = '23403' AND `h`.`city` IN ('6678') LIMIT 1 [ RunTime:0.000590s ]
[ SQL ] SHOW COLUMNS FROM `fang_house_photo` [ RunTime:0.002591s ]
[ SQL ] SELECT `cate_name`,`cate_id`,`url`,`id` FROM `fang_house_photo` WHERE `house_id` = 23403 AND `status` = 1 GROUP BY `cate_id` LIMIT 5 [ RunTime:0.000327s ]
[ SQL ] SHOW COLUMNS FROM `fang_house_type` [ RunTime:0.002729s ]
[ SQL ] SELECT id,room,count(id) as total FROM `fang_house_type` WHERE `house_id` = 23403 AND `status` = 1 GROUP BY `room` ORDER BY `room` [ RunTime:0.000293s ]
[ SQL ] SELECT id,cate_id,count(id) as total FROM `fang_house_photo` WHERE `house_id` = 23403 AND `status` = 1 GROUP BY `cate_id` ORDER BY `ordid` ASC,`id` DESC [ RunTime:0.000321s ]
[ SQL ] UPDATE `fang_house` SET `hits` = `hits` + 1 WHERE `id` = 23403 [ RunTime:0.085037s ]
[ SQL ] SHOW COLUMNS FROM `fang_house_permit` [ RunTime:0.002321s ]
[ SQL ] SELECT * FROM `fang_house_permit` WHERE `house_id` = 23403 ORDER BY `ordid` ASC [ RunTime:0.000278s ]
[ SQL ] SHOW COLUMNS FROM `fang_comment` [ RunTime:0.002214s ]
[ SQL ] SELECT AVG(`price`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 23403 LIMIT 1 [ RunTime:0.000244s ]
[ SQL ] SELECT AVG(`place`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 23403 LIMIT 1 [ RunTime:0.000182s ]
[ SQL ] SELECT AVG(`mating`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 23403 LIMIT 1 [ RunTime:0.000147s ]
[ SQL ] SELECT AVG(`traffic`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 23403 LIMIT 1 [ RunTime:0.000147s ]
[ SQL ] SELECT AVG(`science`) AS tp_avg FROM `fang_comment` WHERE `status` = 1 AND `house_id` = 23403 LIMIT 1 [ RunTime:0.000147s ]
[ SQL ] SHOW COLUMNS FROM `fang_group` [ RunTime:0.002196s ]
[ SQL ] SELECT * FROM `fang_group` WHERE `status` = 1 AND `city` IN (6678,0) AND `end_time` > 1714319073 AND `begin_time` < 1714319073 AND `house_id` = 23403 LIMIT 1 [ RunTime:0.000339s ]
[ SQL ] SHOW COLUMNS FROM `fang_article` [ RunTime:0.002123s ]
[ SQL ] SELECT * FROM `fang_article` WHERE ( `status` = 1 AND `city` IN (6678,0) AND `house_id` = 23403 ) AND `fang_article`.`delete_time` IS NULL ORDER BY `id` DESC LIMIT 2 [ RunTime:0.020751s ]
[ SQL ] SELECT `spid` FROM `fang_city` WHERE `id` = 6678 LIMIT 1 [ RunTime:0.000188s ]
[ SQL ] SELECT `id`,`name`,`alias` FROM `fang_city` WHERE `status` = 1 AND `id` IN (6678) [ RunTime:0.000208s ]
[ SQL ] SELECT * FROM `fang_house` WHERE `status` = 1 AND `city` IN (6678,0) AND `id` <> 23403 AND `city` = 6678 ORDER BY `is_discount` DESC LIMIT 6 [ RunTime:0.000557s ]
[ SQL ] SELECT `id`,`img`,`title`,`room`,`price`,`living_room`,`toilet`,`kitchen`,`sale_status`,`acreage`,`type`,`data`,`characteristic` FROM `fang_house_type` WHERE ( house_id=23403 ) ORDER BY `id` LIMIT 5 [ RunTime:0.000311s ]
[ SQL ] SELECT `id`,`url`,`cate_name`,`title` FROM `fang_house_photo` WHERE ( house_id=23403 and status=1 ) ORDER BY `id` ASC LIMIT 3 [ RunTime:0.000270s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `fang_comment` WHERE ( house_id = 23403 and pid = 0 and status = 1 ) LIMIT 1 [ RunTime:0.000202s ]
[ SQL ] SELECT * FROM `fang_comment` WHERE ( house_id = 23403 and pid = 0 and status = 1 ) ORDER BY `create_time` DESC LIMIT 0,3 [ RunTime:0.000294s ]