I have a table users
and another table logins
everytime the user log-in into the website we record a row in logins
ex.
Users
-----
14 | name1
17 | name2
20 | name3
21 | name4
25 | name5
logins
----
14 | 2015-03-01
14 | 2015-03-07
14 | 2015-03-16
14 | 2015-03-24
14 | 2015-03-30
17 | 2015-03-01
17 | 2015-03-07
17 | 2015-03-16
17 | 2015-03-17
17 | 2015-03-30
20 | 2015-03-01
20 | 2015-03-07
20 | 2015-03-08
20 | 2015-03-16
20 | 2015-03-25
20 | 2015-03-30
if start date is 2015-03-01
and end date is 2015-04-01
then 14 & 20
should be selected while 17
wont be selected since he didn't login in the week of 03-22
to 03-28
so the result would be
Result
------
2
First you get the list of users per week which has logged in at least once, then you count per month the amount of users:
SELECT LoginYear,LoginWeek,COUNT(*) as NumbUsers
FROM (
SELECT Year(logins.date) as LoginYear, Week(logins.date) as LoginWeek, logins.UserID
FROM logins
WHERE logins.date>='2015-03-01'
GROUP BY LoginYear, LoginWeek, logins.UserID
HAVING COUNT(*)>0
) t
GROUP BY LoginYear,LoginWeek;
Week numbering: MySQL can count the weeks in different ways (such as starting on a Sunday/Monday) using the mode: WEEK(date,mode)
. See the WEEK
MySQL documentation .
Update: to get the number of persons which has been logged in at least once every week: first we get the users that were logged in at least once per week in the subquery weektable
. Then the users are select which have a week count which equals the total number of weeks in that period (thus having been online each week). Finally we count those users.
SELECT COUNT(*)
FROM (
SELECT UserID
FROM (
SELECT Year(logins.date) as LoginYear, Week(logins.date) as LoginWeek, logins.UserID
FROM logins
WHERE logins.date>='2015-03-01'
GROUP BY LoginYear, LoginWeek, logins.UserID
HAVING COUNT(*)>0
) weektable
GROUP BY UserID
HAVING COUNT(*)>=TIMESTAMPDIFF(WEEK,'2015-03-01',NOW())
) subq;
Note 1: I put the date '2015-03-01' as an example but you can change this or put as a variable.
Note 2: depending on the dates you choose it can be that the week count by TIMESTAMPDIFF
is less than the maximum number of weeks (counted by COUNT(*)
), since it does not count half weeks. Therefore I put >=
in the last line: HAVING COUNT(*)>=TIMESTAMPDIFF(WEEK,'2015-03-01',NOW())
.
I cannot test it here at the moment but something like
SELECT COUNT(Users.id) WHERE logins.date>=XXXX AND logins.date<=XXXX GROUP BY Users.id
should work
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