A fast and efficient bulk data converter from CSV to Shapefile.
It currently assumes the first two columns are X and Y coordinates. Any remaining columns are saved as text columns in the database file.
Written in C using libcsv and shapelib.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.062891s ]
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:1.293253s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.132286s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001576s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.095931s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.021326s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.230347s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.006355s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.127773s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.853630s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 269987 [ RunTime:0.062069s ]
