MySQL monthly Sale of last 12 months including months with no Sale
Thanks for @pankaj hint, Here i resolved it via this query...
SELECT SUM(IF(month = 'Jan', total, 0)) AS 'Jan', SUM(IF(month = 'Feb', total, 0)) AS 'Feb', SUM(IF(month = 'Mar', total, 0)) AS 'Mar', SUM(IF(month = 'Apr', total, 0)) AS 'Apr', SUM(IF(month = 'May', total, 0)) AS 'May', SUM(IF(month = 'Jun', total, 0)) AS 'Jun', SUM(IF(month = 'Jul', total, 0)) AS 'Jul', SUM(IF(month = 'Aug', total, 0)) AS 'Aug', SUM(IF(month = 'Sep', total, 0)) AS 'Sep', SUM(IF(month = 'Oct', total, 0)) AS 'Oct', SUM(IF(month = 'Nov', total, 0)) AS 'Nov', SUM(IF(month = 'Dec', total, 0)) AS 'Dec', SUM(total) AS total_yearly FROM (SELECT DATE_FORMAT(date, "%b") AS month, SUM(total_price) as totalFROM cartWHERE date <= NOW() and date >= Date_add(Now(),interval - 12 month)GROUP BY DATE_FORMAT(date, "%m-%Y")) as sub
Consider the following table
mysql> select * from cart ;+------+------------+-------------+| id | date | total_price |+------+------------+-------------+| 1 | 2014-01-01 | 10 || 2 | 2014-01-20 | 20 || 3 | 2014-02-03 | 30 || 4 | 2014-02-28 | 40 || 5 | 2014-06-01 | 50 || 6 | 2014-06-13 | 24 || 7 | 2014-12-12 | 45 || 8 | 2014-12-18 | 10 |+------+------------+-------------+
Now as per the logic you are looking back one year and december
will appear twice in the result i.e. dec 2013 and dec 2014
and if we need to have a separate count for them then we can use the following technique of generating dynamic date range MySql Single Table, Select last 7 days and include empty rows
t1.month,t1.md,coalesce(SUM(t1.amount+t2.amount), 0) AS totalfrom( select DATE_FORMAT(a.Date,"%b") as month, DATE_FORMAT(a.Date, "%m-%Y") as md, '0' as amount from ( select curdate() - INTERVAL (a.a + (10 * b.a) + (100 * c.a)) DAY as Date from (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as a cross join (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as b cross join (select 0 as a union all select 1 union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9) as c ) a where a.Date <= NOW() and a.Date >= Date_add(Now(),interval - 12 month) group by md)t1left join( SELECT DATE_FORMAT(date, "%b") AS month, SUM(total_price) as amount ,DATE_FORMAT(date, "%m-%Y") as md FROM cart where Date <= NOW() and Date >= Date_add(Now(),interval - 12 month) GROUP BY md)t2on t2.md = t1.md group by t1.mdorder by t1.md;
Output will be
+-------+---------+-------+| month | md | total |+-------+---------+-------+| Jan | 01-2014 | 30 || Feb | 02-2014 | 70 || Mar | 03-2014 | 0 || Apr | 04-2014 | 0 || May | 05-2014 | 0 || Jun | 06-2014 | 74 || Jul | 07-2014 | 0 || Aug | 08-2014 | 0 || Sep | 09-2014 | 0 || Oct | 10-2014 | 0 || Nov | 11-2014 | 0 || Dec | 12-2013 | 0 || Dec | 12-2014 | 55 |+-------+---------+-------+13 rows in set (0.00 sec)
And if you do not care about the above case i.e. dec 2014 and dec 2013
Then just change the group by
in dynamic date part as
where a.Date <= NOW() and a.Date >= Date_add(Now(),interval - 12 month) group by month
and final group by as group by t1.month
Month wise saleUse Count to count month wise data.
SELECT DATE_FORMAT(date, "%b") AS month, COUNT(total_price) as totalFROM cartWHERE date <= NOW()and date >= Date_add(Now(),interval - 12 month)GROUP BY DATE_FORMAT(date, "%m-%Y")