Lesson 40/100

Tutorials PostgreSQL Tutorial

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

SQLAdvanced

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

  1. Create ledger_entries in PostgresVerse core schema.
  2. Wrap debit/credit INSERT in BEGIN ... COMMIT with shared transfer_id.
  3. Retry same transfer_id and observe unique violation.
  4. Add CHECK that sum of credits equals debits per transfer_id via trigger.
  5. 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.

Senior Detailed
How would you debug a production issue related to Transactions in a PostgreSQL application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Transacti…
Junior Detailed
Explain SQL queries in the context of PostgreSQL.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define SQL queri…
Mid Detailed
What are common mistakes teams make with Schema design when using PostgreSQL?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Schema de…
Mid Detailed
Compare two approaches to Indexing—when would you choose each?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Indexing…
Junior Detailed
Describe a real-world scenario where Normalization mattered in a PostgreSQL project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Normaliza…
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PostgreSQL Tutorial
Course syllabus

PostgreSQL Tutorial

PostgreSQL — Foundations
PostgreSQL — SQL & Queries
PostgreSQL — Indexing & Performance
PostgreSQL — Transactions & MVCC
PostgreSQL — Functions & Automation
PostgreSQL — JSONB & Modern Features
PostgreSQL — Replication & High Availability
PostgreSQL — Security & Cloud
PostgreSQL — Monitoring & Troubleshooting
PostgreSQL — Real-World Projects
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