MySQL: Join Conditions based on a Table on a later Join - mysql

Question

SELECT
p.Sku,
p.Barcode,
s.AmountIncl,
CASE
WHEN SUM(dl.Qty) IS NULL THEN 0
ELSE SUM(dl.Qty)
END AS Qty,
CASE
WHEN SUM(dl.SubTotal) IS NULL THEN 0
ELSE SUM(dl.SubTotal)
END AS SubTotal
FROM
Product AS p
LEFT JOIN
DocumentLine AS dl ON p.Sku = dl.Sku
LEFT JOIN
Document AS d ON dl.DocumentId = d.DocumentId
AND d.DocumentTypeEnum = 'Order'
AND d.PaymentStatusEnum = 'Paid'
LEFT JOIN
StandardPrice AS s ON p.ProductId = s.ProductId
WHERE
p.Barcode IS NOT NULL
GROUP BY p.Sku
I'm trying to get Qty and SubTotal figures grouped by Sku for Orders that have actually been paid.
These orders can be identified in the Document table with the conditions (d.DocumentTypeEnum = 'Order' & d.PaymentStatusEnum = 'Paid').
The financial data (Qty & SubTotal) live in DocumentLine.
How do I exclude orders/data in the DocumentLine table that are linked to a Document (linked via DocumentId) where DocumentTypeEnum IS NOT an 'Order', and the PaymentStatusEnum IS NOT 'Paid' ?
At this moment the DocumentLine includes Paid Orders, Failed Orders, Unpaid Orders, Pending Orders, Carts, etc. So the Qty and SubTotal data is way higher than we actually have sold/generated.
NOTE: I still want to show all Sku WHERE Barcode IS NOT NULL. So if there is no date in DocumentLine for a Sku the Qty and SubTotal values should be 0 ?
I'm querying in MySQL
Sample Data
Product
Sku | Barcode
1 | A
2 | B
3 |
4 | C
5 |
6 | D
DocumentLine
Sku | Qty | SubTotal | DocumentId
1 | 1 | 100 | 123
2 | 1 | 150 | 124
4 | 2 | 400 | 125
6 | 1 | 120 | 128
1 | 2 | 200 | 129
4 | 1 | 200 | 131
3 | 1 | 600 | 127
Document
DocumentId | DocumentTypeEnum | PaymentStatusEnum
123 | Order | Paid
124 | Cart | NotApplicable
125 | Order | Pending
126 | Cart | NotApplicable
127 | Cart | NotApplicable
128 | Order | Failed
129 | Order | Paid
130 | Cart | NotApplicable
131 | Order | Paid
Result:
Sku | Barcode | AmountIncl | Qty | SubTotal
1 | A | 50 | 3 | 300
2 | B | 60 | 0 | 0
4 | C | 40 | 1 | 200
6 | D | 80 | 0 | 0

Answer 1

SELECT p.Sku, p.Barcode, s.AmountIncl,
CASE WHEN SUM(doc.Qty) IS NULL THEN 0
ELSE SUM(doc.Qty)
END AS Qty,
CASE WHEN SUM(doc.SubTotal) IS NULL THEN 0
ELSE SUM(doc.SubTotal)
END AS SubTotal
FROM Product AS p
LEFT JOIN (Select dl.sku as sku, dl.qty as qty, dl.subtotal as subtotal
from DocumentLine dl, Document d where dl.DocumentId = d.DocumentId
AND d.DocumentTypeEnum = 'Order' AND d.PaymentStatusEnum = 'Paid') AS doc
ON p.Sku = doc.Sku
LEFT JOIN StandardPrice AS s ON p.ProductId = s.ProductId
WHERE p.Barcode IS NOT NULL
GROUP BY p.Sku

Answer 2

You can try this. just use LEFT JOIN base on Product table and filter Barcode which you want to get. with condition aggregate function to make it.
CREATE TABLE Product(
Sku INT,
Barcode VARCHAR(10)
);
INSERT INTO Product VALUES (1,'A');
INSERT INTO Product VALUES (2,'B');
INSERT INTO Product VALUES (3,'');
INSERT INTO Product VALUES (4,'C');
INSERT INTO Product VALUES (5,'');
INSERT INTO Product VALUES (6,'D');
CREATE TABLE DocumentLine(
Sku INT,
Qty INT,
SubTotal INT,
DocumentId INT
);
INSERT INTO DocumentLine VALUES (1, 1, 100,123);
INSERT INTO DocumentLine VALUES (2, 1, 150,124);
INSERT INTO DocumentLine VALUES (4, 2, 400,125);
INSERT INTO DocumentLine VALUES (6, 1, 120,128);
INSERT INTO DocumentLine VALUES (1, 2, 200,129);
INSERT INTO DocumentLine VALUES (4, 1, 200,131);
INSERT INTO DocumentLine VALUES (3, 1, 600,127);
CREATE TABLE Document(
Sku INT,
DocumentTypeEnum VARCHAR(50),
PaymentStatusEnum VARCHAR(50)
);
INSERT INTO Document VALUES (123 ,'Order', 'Paid');
INSERT INTO Document VALUES (124 ,'Cart', 'NotApplicable');
INSERT INTO Document VALUES (125 ,'Order', 'Pending');
INSERT INTO Document VALUES (126 ,'Cart', 'NotApplicable');
INSERT INTO Document VALUES (127 ,'Cart', 'NotApplicable');
INSERT INTO Document VALUES (128 ,'Order', 'Failed');
INSERT INTO Document VALUES (129 ,'Order', 'Paid');
INSERT INTO Document VALUES (130 ,'Cart', 'NotApplicable');
INSERT INTO Document VALUES (131 ,'Order', 'Paid');
Query 1:
select
p.sku,
Barcode,
SUM(case when DocumentTypeEnum = 'Order' and PaymentStatusEnum = 'Paid' then Qty else 0 end) 'Qty',
SUM(case when DocumentTypeEnum = 'Order' and PaymentStatusEnum = 'Paid' then SubTotal else 0 end) 'SubTotal'
from product p
left join DocumentLine dl on dl.sku = p.sku
left join Document d on dl.DocumentId = d.Sku
WHERE Barcode <> '' OR Barcode IS NOT NULL
group by p.sku,Barcode
Results:
| sku | Barcode | Qty | SubTotal |
|-----|---------|-----|----------|
| 1 | A | 3 | 300 |
| 2 | B | 0 | 0 |
| 4 | C | 1 | 200 |
| 6 | D | 0 | 0 |

Answer 3

If you don't want the document there are not Order and Paid use an INNER JOIN for Document and not left join
SELECT p.Sku
, p.Barcode
, s.AmountIncl
, CASE WHEN SUM(dl.Qty) IS NULL THEN 0
ELSE SUM(dl.Qty)
END AS Qty
, CASE WHEN SUM(dl.SubTotal) IS NULL THEN 0
ELSE SUM(dl.SubTotal)
END AS SubTotal
FROM Product AS p
LEFT JOIN DocumentLine AS dl ON p.Sku = dl.Sku
INNER JOIN Document AS d ON dl.DocumentId = d.DocumentId
AND d.DocumentTypeEnum = 'Order'
AND d.PaymentStatusEnum = 'Paid'
LEFT JOIN StandardPrice AS s ON p.ProductId = s.ProductId
WHERE p.Barcode IS NOT NULL
GROUP BY p.Sku