Keg is a simple Python Web Execution Framework.
Objectives
Reasonably low learning curve
To facilitate incremental web site design
Scalable - Isn"t everything these days ?
All this and still maintain a simple model.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001000s ]
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:0.098586s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001125s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001395s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001343s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003594s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.001026s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.004293s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.019566s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001151s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 38622 [ RunTime:0.021563s ]
