Understanding Repeatable Read Behavior in PostgreSQL
📖 Scenario: You are working on a banking application where multiple transactions happen concurrently. You want to ensure that during a transaction, the data you read remains consistent even if other transactions modify the data at the same time.
🎯 Goal: Build a PostgreSQL transaction using the REPEATABLE READ isolation level to demonstrate how data remains stable during the transaction despite concurrent updates.
📋 What You'll Learn
Create a table called
accounts with columns id (integer primary key) and balance (integer).Insert two rows into
accounts with id values 1 and 2, and balances 1000 and 2000 respectively.Start a transaction with
REPEATABLE READ isolation level.Within the transaction, select the balance of account with
id = 1 twice, showing that the value does not change even if updated outside the transaction.Commit the transaction.
💡 Why This Matters
🌍 Real World
Banking and financial systems require consistent reads during transactions to avoid errors like double spending or incorrect balances.
💼 Career
Understanding transaction isolation levels is essential for database developers and backend engineers to ensure data integrity in concurrent environments.
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