Order Table
--------- ------------ ---------------- ---------- ------------
| OrderID | CustomerID | DateOfPurchase | Discount | DueDate |
--------- ------------ ---------------- ---------- ------------
| 82 | 7 | 2022-04-17 | 0 | 2022-05-17 |
| 83 | 91 | 2022-04-17 | 0 | 2022-05-17 |
| 84 | 8 | 2022-04-17 | 0 | 2022-05-17 |
| 85 | 91 | 2022-04-17 | 0 | 2022-05-17 |
| 86 | 7 | 2022-04-17 | 0 | 2022-05-17 |
| 87 | 91 | 2022-04-18 | 0 | 2022-05-18 |
| 109 | 7 | 2022-04-25 | 0 | 2022-05-25 |
--------- ------------ ---------------- ---------- ------------
Customer table
------------ ---------- ------- ------- ------------- ----------------------------- ---------- --------------
| CustomerID | Fname | Mname | Lname | Contact_no | Address | Valid_id | Credit_Limit |
------------ ---------- ------- ------- ------------- ----------------------------- ---------- --------------
| 7 | John | Dale | Doe | 09123654789 | Asan Sur, Sison, Pangasinan | NULL | 5000.000 |
| 8 | Jane | Dale | Doe | 09987654123 | Asan Sur, Sison, Pangasinan | NULL | 1500.000 |
| 91 | Kurdapya | Buang | Selos | 09741258963 | Paldit, Sison, Pangasinan | NULL | 5000.000 |
------------ ---------- ------- ------- ------------- ----------------------------- ---------- --------------
Payment table
----------- ------------ --------- ------------ ----------
| PaymentID | CustomerID | OrderID | PayDate | Amount |
----------- ------------ --------- ------------ ----------
| 20 | 7 | 82 | 2022-04-25 | 800.000 |
| 21 | 91 | 83 | 2022-04-17 | 2500.000 |
| 22 | 91 | 85 | 2022-04-17 | 200.000 |
| 23 | 95 | 88 | 2022-04-18 | 2122.000 |
| 24 | 96 | 90 | 2022-04-25 | 577.000 |
| 25 | 97 | 111 | 2022-04-25 | 0.000 |
| 26 | 98 | 114 | 2022-04-25 | 166.000 |
| 27 | 99 | 115 | 2022-04-25 | 1740.000 |
----------- ------------ --------- ------------ ----------
I want to know which are the OrderID of Customer Kurdapya (OrderID=91) that are paid and unpaid
this is the Query I have tried so far
Attempt 1:
select if(py.OrderID=r.OrderID, 'paid','unpaid') as remarks, r.OrderID, r.CustomerID
from orders r,
payment py
where py.OrderID = r.OrderID and r.CustomerID = 91
GROUP by r.OrderID;
Result for attempt 1:
--------- --------- ------------
| remarks | OrderID | CustomerID |
--------- --------- ------------
| paid | 83 | 91 |
| paid | 85 | 91 |
--------- --------- ------------
Attempt 2:
select if(py.OrderID=r.OrderID and py.OrderID=py.Amount!='null', 'paid','unpaid') as remarks, r.OrderID, r.CustomerID
from orders r,
payment py
where r.CustomerID = 91
GROUP by r.OrderID;
Result of Attempt 2:
--------- --------- ------------
| remarks | OrderID | CustomerID |
--------- --------- ------------
| unpaid | 83 | 91 |
| unpaid | 85 | 91 |
| unpaid | 87 | 91 |
--------- --------- ------------
My DESIRED RESULT IS THIS:
--------- --------- ------------
| remarks | OrderID | CustomerID |
--------- --------- ------------
| unpaid | 83 | 91 |
| unpaid | 85 | 91 |
| paid | 87 | 91 |
--------- --------- ------------
CodePudding user response:
You can try
select CASE
WHEN P.Amount > 0 then 'paid' else 'unpaid' end as remarks,
O.orderID, O.CustomerID
from Customer C inner join OrderTable O on C.CustomerID = O.CustomerID
inner join Payment P on P.OrderID = O.OrderID
where O.CustomerID = 91
CodePudding user response:
SELECT
IF(py.OrderID IS NULL, 'unpaid', 'paid') AS remarks,
r.OrderID,
r.CustomerID
FROM orders AS r
LEFT OUTER JOIN payment AS py USING (OrderID)
WHERE r.CustomerID = 91
However, since the order table doesn't have an amount, I don't know if the amount paid is sufficient to pay for the full order.
CodePudding user response:
Your second query didn't even compile. Try this
select if(py.Amount is not null, 'paid','unpaid') as remarks, r.OrderID, r.CustomerID
from orders r
left outer join payment py on r.OrderID=py.OrderID
where r.CustomerID = 91;
Points to note:
- I have used the modern, explicit JOIN syntax - see the comment from @jarlh
- I have used LEFT OUTER join
- I have removed the quotation marks from 'null' - NULL is a specific value whereas 'null' is a string
- The GROUP BY is unecessary