如何通过MySQL计算具有日期间隔的统计信息

Question

I want to compute some stats (with a MySQL backend) sorted by date and with dynamic intervals (week, month, year). Here is a little example :

Mysql table : tracker_click

| ID   | SITE_ID | CREATED_AT          |
| ---- |---------| --------------------|
| 153  | 2       | 2013-07-22 15:43:25 |
| 154  | 2       | 2013-07-25 16:45:46 |
| 2501 | 2       | 2013-09-15 17:45:48 |

I want to get the total click number by SITE_ID by week for the last month with one query And the same thing by month for the last year.

An example of what I want by week for the last month is :

| click number   | SITE_ID | BEGIN_DATE           | END_DATE            |
|----------------|---------|----------------------|---------------------|
| 25             |    2    |  2013-07-01 00:00:00 | 2013-07-08 00:00:00 |
| 19             |    2    |  2013-08-09 00:00:00 | 2013-08-16 00:00:00 |
| 53             |    2    |  2013-0717- 00:00:00 | 2013-08-24 00:00:00 |

I don’t know if there is a solution to get exaclty this array with only one query without any other processes.

Thank you

Answer 1

This should get you the counts for the last month (ie, last 4 weeks), including weeks where the count is 0 for each site id. If you have a table of sites to get the site id from it means the cross join to the sub query can be replaced with a simple cross join to a table.

This generates a range of numbers from 0 to 5 and subtracts that number of weeks from the current date, formats that to give the Sunday and Saturday of the resulting week and checks that the resuling week is a week between the current date and the current date minus 1 month (done this way rather that just subtracting 4 weeks to cope with variable length months).

SELECT Weeks.aWeek_start, Weeks.aWeek_end, all_site_id.site_id, COUNT(tracker_click.id)
FROM
(
    SELECT STR_TO_DATE(DATE_FORMAT(DATE_SUB(NOW(), INTERVAL units.i WEEK), '%Y%U Sunday 00:00:00'), '%X%V %W %H:%i:%s') AS aWeek_start,
            STR_TO_DATE(DATE_FORMAT(DATE_SUB(NOW(), INTERVAL units.i WEEK), '%Y%U Saturday 23:59:59'), '%X%V %W %H:%i:%s') AS aWeek_end
    FROM (SELECT 0 i UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION SELECT 5)units
    WHERE DATE_FORMAT(DATE_SUB(NOW(), INTERVAL units.i WEEK), '%Y%U') BETWEEN DATE_FORMAT(DATE_SUB(NOW(), INTERVAL 1 MONTH), '%Y%U') AND DATE_FORMAT(NOW(), '%Y%U')
) Weeks
CROSS JOIN
(
    SELECT DISTINCT site_id
    FROM tracker_click
) AS all_site_id
LEFT OUTER JOIN tracker_click
ON tracker_click.CREATED_AT BETWEEN Weeks.aWeek_start AND Weeks.aWeek_end
AND tracker_click.site_id = all_site_id.site_id
GROUP BY Weeks.aWeek_start, Weeks.aWeek_end, all_site_id.site_id

A similar query could be done for months of the year

SELECT Months.aMonth_start, Months.aMonth_end, all_site_id.site_id, COUNT(tracker_click.id)
FROM
(
    SELECT DATE_FORMAT(DATE_SUB(NOW(), INTERVAL units.i MONTH), '%Y/%m/01 00:00:00') AS aMonth_start,
            DATE_FORMAT(LAST_DAY(DATE_SUB(NOW(), INTERVAL units.i MONTH)), '%Y/%m/%d 23:59:59') AS aMonth_end
    FROM (SELECT 0 i UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9 UNION SELECT 10 UNION SELECT 11)units
) Months
CROSS JOIN
(
    SELECT DISTINCT site_id
    FROM tracker_click
) AS all_site_id
LEFT OUTER JOIN tracker_click
ON tracker_click.CREATED_AT BETWEEN Months.aMonth_start AND Months.aMonth_end
AND tracker_click.site_id = all_site_id.site_id
GROUP BY Months.aMonth_start, Months.aMonth_end, all_site_id.site_id