Trying to get a count of unique logins. My members often log in and out several times per day. I need a count of the number of unique visitors by category(status).
Code:CREATE TABLE `mem_hours` ( `l_id` INT(10) NOT NULL AUTO_INCREMENT, `m_id` INT(10) NOT NULL, `timein` DATETIME NOT NULL, `timeout` DATETIME NULL DEFAULT '0000-00-00 00:00:00', `logout` VARCHAR(2) NOT NULL DEFAULT 'C', PRIMARY KEY (`l_id`) )My first query creates a view named memlog, joins the two tables, converts the DATETIME field to DATE, and sets the from - to dates.Code:CREATE TABLE `members` ( `m_id` INT(10) NOT NULL AUTO_INCREMENT, `name` VARCHAR(60) NOT NULL, `status` VARCHAR(10) NOT NULL DEFAULT 'Verified', PRIMARY KEY (`m_id`) )
My query is supposed to select distinct dates and count members. However, the count total is equal to the original logins and not effected by distinct or group.Code:select cast(`mh`.`timein` as date) AS `date`,`mh`.`timein` AS `timein`,`m`.`m_id` AS `m_id`,`m`.`status` AS `status` from (`mem_hours` `mh` join `members` `m` on((`mh`.`m_id` = `m`.`m_id`))) where (`mh`.`timein` between 20110101000000 and 20110131235959)
Would appreciate suggestions.Code:SELECT DISTINCT DATE AS DATE,COUNT(m_id) AS members, STATUS FROM memlog GROUP BY STATUS
Andy










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