Application was created using Python Environment.
The application separates large files into 1MB parts and keeps them into Blobs.
When user requested to download files, the application gets the file parts and concatenate and makes the a reqular file.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001241s ]
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:0.088558s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001186s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001961s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001243s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.004018s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.000999s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.003364s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.015133s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001302s ]
UPDATE `jrk_articles` SET `hits` = 1 WHERE `id` = 87378 [ RunTime:0.001373s ]
