Banking Transaction Systems — Complete Guide
Banking Transaction Systems — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of MySQL Tutorial on Toolliyo Academy.
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MySQL Tutorial · Lesson 49 of 100
Banking Transaction Systems
Basics ✓ → Advanced
Advanced · 2 — Production · ~6 min · MySQL — Transactions & Concurrency
What is this?
Banking transaction systems use strict ACID, double-entry ledger tables, idempotent payment refs, and reconciliation jobs. MySQL holds accounts, entries, and immutable audit trails.
Why should you care?
NPCI-style transfers need exact paise matching and no duplicate settlement when clients retry HTTP.
See it live — copy this example
Run in MySQL Workbench or the mysql CLI.
START TRANSACTION;
INSERT INTO ledger_entries (account_id, txn_ref, amount_inr, entry_type)
VALUES (1, 'UPI-7788', -500.00, 'DEBIT'),
(2, 'UPI-7788', 500.00, 'CREDIT');
UPDATE accounts SET balance_inr = balance_inr - 500 WHERE account_id = 1;
UPDATE accounts SET balance_inr = balance_inr + 500 WHERE account_id = 2;
COMMIT;
What happened?
- ledger_entries records both legs with shared txn_ref.
- Account balances update in same txn.
- Duplicate txn_ref blocked by UNIQUE — retry safe.
Practice next
- CREATE ledger_entries with UNIQUE(txn_ref, account_id, entry_type).
- Run transfer txn; verify sums.
- Retry same txn_ref — should fail or no-op via app logic.
- Add CHECK that debit amounts are negative in ledger.
- Nightly job: find txn_ref where SUM(amount_inr) <> 0.
Remember
Double-entry: debits + credits balance. One txn_ref ties paired entries. UNIQUE keys enforce idempotent retries.
DataFlow wallet ledger
Fintech stores every UPI move in ledger_entries before push notification.
Outcome: Support can trace any balance dispute to exact entries.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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