I have a table like this,
CREATE TABLE order_match
(`order_buyer_id` int, `createdby` int, `createdAt` datetime, `quantity` decimal(10,2))
;
INSERT INTO order_match
(`order_buyer_id`, `createdby`, `createdAt`, `quantity`)
VALUES
(19123, 19, '2017-02-02', 5),
(193241, 19, '2017-02-03', 5),
(123123, 20, '2017-02-03', 1),
(32242, 20, '2017-02-04', 4),
(32434, 20, '2017-02-04', 5),
(2132131, 12, '2017-02-02', 6)
;
here's the fiddle on this table, order_buyer_id is id of the transaction, createdby are the buyer, createdAt are the time of each transaction, quantity are the quantity of transaction
I want to find out the maximum, minimum, median and average for each repeat order (the buyer with transaction > 1)
so on this table, expected results are just like this
+-----+-----+---------+--------+
| MAX | MIN | Average | Median |
+-----+-----+---------+--------+
| 3 | 2 | 2.5 | 3 |
+-----+-----+---------+--------+
note: im using mysql 5.7
I am using this syntax
select -- om.createdby, om.quantity, x1.count_
MAX(count(om.createdby)) AS max,
MIN(count(om.createdby)) AS min,
AVG(count(om.createdby)) AS average
from (select count(xx.count_) as count_
from (select count(createdby) as count_ from order_match
group by createdby
having count(createdby) > 1) xx
) x1,
(select createdby
from order_match
group by createdby
having count(createdby) > 1) yy,
order_match om
where yy.createdby = om.createdby
and om.createdAt <= '2017-02-04'
and EXISTS (select 1 from order_match om2
where om.createdby = om2.createdby
and om2.createdAt >= '2017-02-02'
and om2.createdAt <= '2017-02-04')
but it's said
Invalid use of group function
We can try aggregating by createdby
, and then taking the aggregates you want:
SELECT
MAX(cnt) AS MAX,
MIN(cnt) AS MIN,
AVG(cnt) AS Average
FROM
(
SELECT createdby, COUNT(*) AS cnt
FROM order_match
GROUP BY createdby
HAVING COUNT(*) > 0
) t
To simulate the median in MySQL 5.7 is a lot of work, and ugly. If you have a long term need for median, consider upgrading to MySQL 8+.