Reputation: 9386
I have a table called orders
that looks like this:
+--------------+---------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+--------------+---------+------+-----+---------+-------+
| id | int(11) | YES | | NULL | |
| memberid | int(11) | YES | | NULL | |
| deliverydate | date | YES | | NULL | |
+--------------+---------+------+-----+---------+-------+
And that contains the following data:
+------+----------+--------------+
| id | memberid | deliverydate |
+------+----------+--------------+
| 1 | 991 | 2019-10-25 |
| 2 | 991 | 2019-10-26 |
| 3 | 992 | 2019-10-25 |
| 4 | 992 | 2019-10-25 |
| 5 | 993 | 2019-10-24 |
| 7 | 994 | 2019-10-21 |
| 6 | 994 | 2019-10-26 |
| 8 | 995 | 2019-10-26 |
+------+----------+--------------+
I would like a result set returning each unique date, and a separate column showing how many customers that placed their first order that day.
I'm having problems with querying this the right way, especially when the data consists of multiple orders the same day from the same customer.
My approach has been to
Here's the corresponding SQL:
SELECT deliverydate,COUNT(DISTINCT memberid) FROM orders
WHERE
MemberId IN (SELECT DISTINCT memberid FROM orders WHERE deliverydate BETWEEN '2019-10-25' AND '2019-10-26')
AND NOT
MemberId In (SELECT DISTINCT memberid FROM orders WHERE deliverydate < '2019-10-25')
GROUP BY deliverydate
ORDER BY deliverydate ASC;
But this results in the following with the above data:
+--------------+--------------------------+
| deliverydate | COUNT(DISTINCT memberid) |
+--------------+--------------------------+
| 2019-10-25 | 2 |
| 2019-10-26 | 2 |
+--------------+--------------------------+
The count for 2019-10-26 should be 1.
Appreciate any help :)
Upvotes: 0
Views: 912
Reputation: 164099
Get the first order of each customer with NOT EXISTS
and then GROUP BY deliverydate
to count the distinct customers who placed their order:
select o.deliverydate, count(distinct o.memberid) counter
from orders o
where not exists (
select 1 from orders
where memberid = o.memberid and deliverydate < o.deliverydate
)
group by o.deliverydate
See the demo.
Results:
| deliverydate | counter |
| ------------------- | ------- |
| 2019-10-21 00:00:00 | 1 |
| 2019-10-24 00:00:00 | 1 |
| 2019-10-25 00:00:00 | 2 |
| 2019-10-26 00:00:00 | 1 |
But if you want results for all the dates in the table including those dates where there where no orders from new customers (so the counter will be 0
):
select d.deliverydate, count(distinct o.memberid) counter
from (
select distinct deliverydate
from orders
) d left join orders o
on o.deliverydate = d.deliverydate and not exists (
select 1 from orders
where memberid = o.memberid and deliverydate < o.deliverydate
)
group by d.deliverydate
Upvotes: 0
Reputation: 328
you have first to figure out when was the first delivery date:
SELECT firstdeliverydate,COUNT(DISTINCT memberid) FROM (
select memberid, min(deliverydate) as firstdeliverydate
from orders
WHERE
MemberId IN (SELECT DISTINCT memberid FROM orders WHERE deliverydate BETWEEN '2019-10-25' AND '2019-10-26')
AND NOT
MemberId In (SELECT DISTINCT memberid FROM orders WHERE deliverydate < '2019-10-25')
group by memberid)
t1
group by firstdeliverydate
Upvotes: 0
Reputation: 222482
You can aggregate twice:
select first_deliverydate, count(*) cnt
from (
select min(deliverydate) first_deliverydate
from orders
group by memberid
) t
group by first_deliverydate
order by first_deliverydate
The subquery gives you the first order data of each member, then the outer query aggregates and counts by first order date.
This demo on DB Fiddle with your sample data returns:
first_deliverydate | cnt :----------------- | --: 2019-10-21 | 1 2019-10-24 | 1 2019-10-25 | 2 2019-10-26 | 1
In MySQL 8.0, This can also be achieved with window functions:
select deliverydate first_deliverydate, count(*) cnt
from (
select deliverydate, row_number() over(partition by memberid order by deliverydate) rn
from orders
) t
where rn = 1
group by deliverydate
order by deliverydate
Upvotes: 2