Banking Transaction Systems — Complete Guide
Banking Transaction Systems — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of PostgreSQL Tutorial on Toolliyo Academy.
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PostgreSQL Tutorial · Lesson 40 of 100
Banking Transaction Systems
SQL → Advanced
SQL · 1 — Queries · ~6 min · PostgreSQL — Transactions & MVCC
What is this?
Banking transaction systems require ledger immutability, double-entry balances, idempotent transfers, and strict isolation — PostgreSQL transactions and constraints model this well.
Why should you care?
PostgresVerse core banking schema must never lose a rupee on partial failure or duplicate webhook.
See it live — copy this example
Run in pgAdmin or psql.
CREATE TABLE ledger_entries (
entry_id bigserial PRIMARY KEY,
account_id bigint NOT NULL,
amount numeric(14,2) NOT NULL,
direction char(1) CHECK (direction IN ('D','C')),
transfer_id uuid NOT NULL,
posted_at timestamptz DEFAULT now()
);
CREATE UNIQUE INDEX ON ledger_entries (transfer_id, account_id, direction);
What happened?
- Each transfer posts debit and credit lines sharing transfer_id.
- Unique index makes retry with same transfer_id idempotent — duplicate insert fails safely.
Practice next
- Create ledger_entries in PostgresVerse core schema.
- Wrap debit/credit INSERT in BEGIN ... COMMIT with shared transfer_id.
- Retry same transfer_id and observe unique violation.
- Add CHECK that sum of credits equals debits per transfer_id via trigger.
- Query running balance with window SUM OVER account_id.
Remember
Ledger append-only; corrections are reversing entries. Idempotency keys prevent duplicate transfers. Numeric type and CHECK enforce valid directions.
PostgresVerse NEFT retry
Gateway timeout retries payment; unique on transfer_id blocks double debit.
Outcome: Customer charged once; support ticket avoided.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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