Click Track system

Example :
We have one advertisement slot in our website and we want to count number of clicks the advertisement banner has received. Here as the visitor click the ad we will record the ip address, referrer and date of click. Each click will insert all these data and also the current date in date field. For our further analysis we can keep two more fields tack_id and camp_id. We will not discuss more on all these details and focus on SQL part only. The structure of the table with some sample records can be downloaded at the end of this tutorial. To get the number of clicks for each day we will use like this .
SELECT count(dt) as no, dt FROM `click_track` GROUP BY dt
We can add order by command to display records starting from highest day ( or current date ) to back by using ORDER BY clause. Here it is
SELECT count(dt) as no, dt FROM `click_track` 
GROUP BY dt ORDER BY dt DESC
Finally you will get an output like this.
2010-07-09 (3)
2010-07-08 (7)
2010-07-07 (4)

Group by command with datetime field.

If you have a datetime field where along with date, time is also stored then applying group by command will not return total records of the day. We can't use group by command like above. The group by command has to be applied for Year , month and day part. Like this



SELECT count(  dt ) AS no, dt FROM `click_track` 
	GROUP BY (Year( dt)-Month(dt)-Day(dt))
If we want only year wise data then like this.
SELECT count(  dt ) AS no, Year(dt) FROM `dt_tb` GROUP BY (Year( dt))
Now for day wise
SELECT count(  dt ) AS no, Day(dt) FROM `dt_tb` GROUP BY (Day(dt))
Why not month also
SELECT count(  dt ) AS no, Month(dt) FROM `dt_tb` GROUP BY (Month(dt))

Try yourself

If you have a login system where different users login to your discussion forum or to a member area of your site then list out numbers of login in last fifteen days.

After verification of your login details, store a record in your click track system with date, userid and ip address. Then apply group by command and list out number of logins for day.

Total Logins at different Hours of the day

If you are storing date and time in a column ( timestamp ) then you can generate report based on number of logins in different hours of the day.
SELECT hour(tm),count(event_id) FROM `dt_table_tm` group by HOUR(tm)
Here column tm stores timestamp of the event. You can read more on this at Query using DATE_SUB in time

Download the zip file. This file contains the sql dump of the sample table and the track.php file to use the sql commands and display the records using PHP
Group By Date column Records between two dates using DATE_SUB


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