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The Ledger Check

easySQLAggregation

Quarter-end close at Northline Bank starts with the dullest and most important check there is: how many movements actually landed in the ledger. If that figure disagrees with what the core banking system thinks it sent, nothing after it can be trusted.

transactions — one row per movement of money. customer_id points at a row in customers; type is one of deposit, withdrawal or transfer; txn_date is the day it settled. The ledger is signed: money arriving in an account is stored as a positive amount, and money leaving it as a negative one, so a 600-dollar withdrawal is recorded as -600.

id customer_id amount type txn_date
1 1 500 deposit 2023-07-01
2 1 -120 withdrawal 2023-07-03
3 2 1000 deposit 2023-07-02
4 2 -300 withdrawal 2023-07-05
5 3 250 deposit 2023-07-04
6 3 -600 withdrawal 2023-07-06
7 4 800 deposit 2023-07-07
8 4 -450 withdrawal 2023-07-08
9 5 2000 deposit 2023-07-09
10 5 -1500 withdrawal 2023-07-10
11 1 -200 transfer 2023-07-11
12 3 400 deposit 2023-07-12

The table already exists in the database — there is nothing to create or load.

Task: Write a query that returns exactly one row with one column, total_txns, holding how many transactions are on record.

Example output — the shape, on an invented figure. A ledger of forty-one movements would come back as:

total_txns
41

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