In this project, we will be creating a relational database for a seafood restaurant chain. The main goal is to create a back-end to examine the costs of the raw materials, or ingredients to make the food.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001619s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.123414s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001140s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001238s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001126s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003272s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.000973s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.003810s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.018754s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001189s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 281789 [ RunTime:0.018220s ]
