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Order Values

mediumSQLJoinsArithmetic

Finance at Whetcode Supply is reconciling the shop's own records against the payment provider's statement, and starts at the top: the five most valuable orders, since a discrepancy there costs more than a discrepancy anywhere else.

An order row does not say what it was worth. It says which item was bought and how many, and the money lives in the catalogue. Two orders sit on the boundary of the top five with the same value, so the sheet needs a rule deciding which of them makes the cut.

orders — one row per order. customer_id is the id of the customer who placed it, product_id the id of the item bought, quantity how many units of that item, and order_date the day it was placed. An order row covers one item only.

id customer_id product_id quantity order_date
1 1 1 2 2023-02-01
2 1 4 1 2023-02-01
3 2 2 1 2023-02-10
4 3 3 3 2023-03-05
5 4 5 5 2023-03-11
6 1 3 1 2023-04-02
7 5 1 4 2023-05-20
8 2 5 2 2023-05-22
9 3 4 1 2023-06-01
10 5 2 1 2023-06-15

products — the catalogue, one row per item on sale. price is what a single unit costs, in dollars.

id name category price
1 Wireless Mouse electronics 25.0
2 Standing Desk furniture 350.0
3 Desk Lamp furniture 40.0
4 Mechanical Keyboard electronics 85.0
5 Notebook Set office 12.0

The tables already exist in the database — there is nothing to create or load.

Task: Write a query returning two columns, id (the order's own id) and order_value (what that order was worth: the item's price times the number of units, rounded to two decimal places), returning only the five most valuable orders, largest value first. When two orders have the same value, put the smaller id first — this also decides which of the two orders worth 85 appears and which is left out.

Example output — shape only, on invented orders. The top two are worth the same, so the smaller id goes first:

id order_value
41 640
43 640
38 495
46 310
52 175

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