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Editorial Team
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Asked: 2026-05-17T23:49:46+00:00

I’m writing a query that will fetch results from a logging table, resulting in

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I’m writing a query that will fetch results from a logging table, resulting in a overview of how many visitors that were logged on my webpage at a specified interval, taking in account their actual login time (login_time, logout_time) and the input GROUP by parameter. (DAY(),HOUR() or MINUTE())

I’ve twisted my brain around this for a few days on and off. Really need some positive input from anyone interested.

Input

So basicly what I would input in my query would be what time interval I would like to search by. Specifying how the result would be grouped like. (DAY(),HOUR() or MINUTE())

Example data

ID| userID | login_time          | logout_time
------------------------------------------------------
1 | 1      | 06.11.2010 16:57:16 | 06.11.2010 16:34:11
2 | 2      | 06.11.2010 16:47:11 | 06.11.2010 19:55:15
3 | 3      | 06.11.2010 16:33:16 | 06.11.2010 16:53:33
4 | 4      | 06.11.2010 16:13:25 | 06.11.2010 18:54:54
5 | 5      | 06.11.2010 16:02:16 | 06.11.2010 16:34:11
6 | 6      | 06.11.2010 16:00:11 | 06.11.2010 17:55:19
7 | 6      | 06.11.2010 19:00:11 | 06.11.2010 22:55:19
8 | 6      | 06.11.2010 20:00:11 | 06.11.2010 23:55:19
9 | 6      | 06.11.2010 20:00:11 | 06.11.2010 21:55:19
9 | 6      | 06.11.2010 09:00:11 | 06.11.2010 10:00:19

Prefered result

Example Input: Between 06.11.2010 16:30:00 and 06.11.2010 16:35:00 and grouped by MINUTE()

Count | Date
---------------------------
5     | 06.11.2010 16:30:00
5     | 06.11.2010 16:31:00
5     | 06.11.2010 16:32:00
4     | 06.11.2010 16:33:00
5     | 06.11.2010 16:34:00
3     | 06.11.2010 16:35:00

Example Input: Between 06.11.2010 00:30:00 and 06.11.2010 23:35:00 and grouped by HOUR()

Count | Date
---------------------------
1     | 06.11.2010 09:00:00
1     | 06.11.2010 10:00:00

–> PS: I don’t mind having a gap here if there is intervals missing (ie. no data)

6     | 06.11.2010 16:00:00
3     | 06.11.2010 17:00:00
2     | 06.11.2010 18:00:00
2     | 06.11.2010 19:00:00
3     | 06.11.2010 20:00:00
3     | 06.11.2010 21:00:00
2     | 06.11.2010 22:00:00
1     | 06.11.2010 23:00:00

Maybe you could illustrate a suitable and effective query that will yield the expected results I have in mind? I’ll leave my cluttering code out from this post for the moment.

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1 Answer

  1. Editorial Team

    The easiest way to do this in SQL is to create a temporary table with all the time values you want to test, and then join it to the log table.

    drop table if exists minutes;
create temporary table minutes (date datetime not null);
set @t := '2010.11.06 16:30:00';  insert into minutes values (@t);
set @t := @t + interval 1 minute; insert into minutes values (@t);
set @t := @t + interval 1 minute; insert into minutes values (@t);
set @t := @t + interval 1 minute; insert into minutes values (@t);
set @t := @t + interval 1 minute; insert into minutes values (@t);
set @t := @t + interval 1 minute; insert into minutes values (@t);

select count(*) as count, m.date
from minutes m join log l
on m.date <= l.logout_time and m.date + interval 1 minute >= l.login_time
group by m.date;
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