基本
文件
流程
错误
SQL
调试
- 请求信息 : 2025-07-05 12:38:18 HTTP/2.0 GET : https://omg.xitaogo.cn/beijing/search?cid=30&tag=French
- 运行时间 : 2.684206s [ 吞吐率：0.37req/s ] 内存消耗：494.34kb 文件加载：197
- 查询信息 : 0 queries
- 缓存信息 : 0 reads,0 writes
- CONNECT:[ UseTime:0.000934s ] mysql:host=127.0.0.1;port=3306;dbname=omg_xitaogo_cn;charset=utf8mb4
- SHOW FULL COLUMNS FROM `t_dictionary` [ RunTime:0.001142s ]
- SELECT * FROM `t_dictionary` WHERE `is_del` = 0 AND `tag_id` = 0 ORDER BY `sortby` ASC,`id` ASC [ RunTime:0.000787s ]
- SELECT * FROM `t_dictionary` WHERE `is_del` = 0 AND `tag_id` = 1 ORDER BY `root_id` ASC,`depth` ASC,`is_enable` DESC,`sortby` ASC,`id` ASC [ RunTime:0.000773s ]
- SHOW FULL COLUMNS FROM `t_config` [ RunTime:0.001272s ]
- SELECT * FROM `t_config` WHERE `is_del` = 0 AND `is_enable` = 1 AND `city_id` IN (0,7) ORDER BY `sortby` DESC,`id` ASC [ RunTime:0.000543s ]
- SHOW FULL COLUMNS FROM `t_search_index` [ RunTime:0.001557s ]
- SELECT COUNT(*) AS think_count FROM `t_search_index` WHERE `is_del` = 0 AND `is_enable` = 1 AND ( `city_id` = 7 ) AND ( MATCH (search_key) AGAINST ('French*' IN BOOLEAN MODE) ) AND ( MATCH (tag_index) AGAINST ('c30id' IN BOOLEAN MODE) ) [ RunTime:0.001157s ]
- SELECT * FROM `t_dictionary` WHERE `is_del` = 0 AND `tag_id` = 4 ORDER BY `root_id` ASC,`depth` ASC,`is_enable` DESC,`sortby` ASC,`id` ASC [ RunTime:0.000635s ]
- SHOW FULL COLUMNS FROM `t_tags` [ RunTime:0.001350s ]
- SELECT `tag_name`,`is_default` FROM `t_tags` WHERE ( `is_publish` = 1 ) ORDER BY `is_default` DESC,`search_quantity` DESC LIMIT 10 [ RunTime:0.000631s ]
- SELECT `id`,`tag_name`,`search_quantity`,`use_quantity` FROM `t_tags` WHERE ( `is_publish` = 1 ) ORDER BY `search_quantity` DESC,`id` DESC LIMIT 10 [ RunTime:0.000612s ]
- {"organization":"Amazon.com","country":"United States","isp":"Amazon.com","country_code":"US","asn_organization":"AMAZON-02","ip":"216.73.216.120","asn":16509,"region_code":"OH","offset":-18000,"city":"Columbus","timezone":"America\/New_York","postal_code":"43215","longitude":-83.0061,"latitude":39.9625,"region":"Ohio","continent_code":"NA"}
- {"city_name":"columbus","is_china":false}
2.685175s
