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Two Swipes at the Same Merchant Inside a Day
To compare a row to another row of the SAME table, join the table to itself. Here: the same card, the same merchant, twice within 24 hours — the review queue a disputes team works through before anything is called a duplicate.
The join condition carries the whole question. b.account_id = a.account_id AND b.merchant_id = a.merchant_id pairs them up; b.txn_id > a.txn_id is the part people forget, and without it every transaction matches itself and every genuine pair comes back twice, once in each direction. txn_id increases with time in this ledger, so that same predicate also makes a the earlier swipe. The window is (julianday(b.txn_at) − julianday(a.txn_at)) * 24 <= 24.
Return account_id, merchant (name), first_txn_id, second_txn_id, first_txn_at, second_txn_at, first_amount, second_amount and hours_apart (rounded to 2 decimals). 18 pairs. Order by hours_apart ascending, then first_txn_id ascending, then second_txn_id ascending.
Be honest about what this finds: no pair in this ledger repeats the same amount, so these are repeat purchases, not proven duplicate charges. A rule like this produces a queue for a human, not a verdict.
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Schema
transactions
| txn_id | account_id | amount | txn_at | merchant_id | lat | lng | status |
|---|---|---|---|---|---|---|---|
| 1 | 149 | 151.84 | 2026-03-04T12:39:39.078Z | 24 | 40.342 | -74.4092 | completed |
| 2 | 21 | 10.72 | 2026-03-04T13:04:50.641Z | 7 | 52.9366 | 13.3229 | completed |
| 3 | 35 | 158.78 | 2026-03-04T13:27:15.528Z | 25 | 52.7397 | 13.3134 | completed |
merchants
| merchant_id | name | category | country | risk_tier |
|---|---|---|---|---|
| 1 | BigBox Mart | Grocery | TR | high |
| 2 | Quick Stop | Electronics | JP | high |
| 3 | Aurora Cafe | Travel | TR | high |
Expected output: 188 AppPay 1305 1308 … 143.66 72.9 0.03; 17 Quick Stop 1384 1390 … 68.43 121.71 0.09; ...
Hint
Concepts
SELECT Self-JOIN JOIN JULIANDAY Date Functions Self-Join
Practise the topic: SQL practice questions · JOIN practice · Date function practice · Advanced SQL interview questions
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