Este script hecho en Python pretende ir obteniendo datos de diferentes IDs de Facebook mediante su API Facebook Graph.
Proporcionando un ID inicial y la cantidad de IDs que se quieran obtener, el script arrojará un archivo XML con los resultados.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.000970s ]
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:0.094405s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.000932s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001116s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.000940s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003074s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.000904s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.003728s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.014081s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001201s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 87306 [ RunTime:0.024485s ]
