The Blob module basically gives you a block of memory that you can use as an array of bytes, integers, floats, etc. For projects dealing with huge byte arrays (e.g. raw image data) this can be much faster than using strings or tables.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001093s ]
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:0.070110s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001028s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001221s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.000880s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003198s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.000843s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.004010s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.015416s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001379s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 213354 [ RunTime:0.034946s ]
