MediumSQL challenge #182JOIN

Find Orders Whose Payment Amount Differs from the Order Total

Return the orders whose recorded payment amount is not equal to the order total.

The challenge runs on the SQLabHub practice database (SQLite) and uses the orders and payments tables. You can solve it in the browser, with nothing to install.

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The task

Find orders where payment amount differs from order total.

A correct answer returns 200 rows with 3 columns: id, total, amount.

Tables used in this challenge

orders 200 rows

id INTEGER (PK) · user_id INTEGER · total REAL · discount REAL · item_count INTEGER · status TEXT · order_date TEXT · shipped_date TEXT · shipping_city TEXT · shipping_country TEXT

First 3 rows of the orders table
iduser_idtotaldiscountitem_countstatusorder_dateshipped_dateshipping_cityshipping_country
1432638.110.253cancelled2024-04-24NULLLos AngelesUSA
2829470.195delivered2024-03-152023-04-09ChicagoUSA
3136683.240.082delivered2023-02-152023-07-10Los AngelesUSA

payments 200 rows

id INTEGER (PK) · order_id INTEGER · user_id INTEGER · amount REAL · method TEXT · status TEXT · paid_at TEXT · transaction_id TEXT

First 3 rows of the payments table
idorder_iduser_idamountmethodstatuspaid_attransaction_id
146105921.62Gift Cardsuccess2022-05-18TXNHTN4GIK5L
2157371723.82Bank Transfersuccess2024-11-11TXNKJPIXJOFP
34536978.76Bank Transferrefunded2023-10-24TXNU2RW4MK1R

The first rows of each table are shown. See how all the tables relate on the database schema page.

Expected output

Expected output of the challenge
idtotalamount
461914.56921.62
15748821723.82
454070.29978.76
1041700.631579.17
184259.07538.06

First 5 of 200 rows. This is the output of the model solution on the practice database. The task does not fix a sort order, so your rows may come back in a different order.

What you practise

  • Choosing exactly which columns a query returns
  • Filtering rows with a WHERE condition
  • Combining rows from two tables on a matching key with an inner join

Hint and approach

Try the challenge first. Open these only when you need them.

Show the hint

JOIN payments

Show the step-by-step approach

How the model solution is built, in the order the database evaluates it:

  1. Read from the orders table.
  2. Join payments on orders.id = payments.order_id.
  3. Filter in WHERE: keep the rows where orders.total is not equal to payments.amount.
  4. Return only the columns orders.id, orders.total and payments.amount.

Model solution

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What to watch for

This is a reconciliation query: join on the key, then filter on the inequality. In this dataset totals and payment amounts are generated independently, so every joined row differs; on real data the result is the exception list.

  • INNER JOIN. An inner join drops rows that have no partner on the other side, and it repeats a row once for every match, which inflates SUM and COUNT.
  • WHERE. WHERE is evaluated before the SELECT list, so it cannot use a column alias defined there or the result of an aggregate.
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