Get acquainted with the basics of database transactions, their importance in relational databases, and how they adhere to ACID properties for data integrity, showcased across RDBMSs like PostgreSQL and MySQL. This brief article offers an essential understanding without deep technical dives.
Understanding Database Transactions
At the heart of relational databases, database transactions ensure reliable and consistent data states through a series of operations that are either fully completed or not at all, highlighting the ACID properties of atomicity, consistency, isolation, and durability.
Simple Transaction Example:
-- Initiate transaction
START TRANSACTION;
-- Distribute points between users
UPDATE users SET points = points + 100 WHERE id IN (1, 5);
UPDATE users SET points = points - 200 WHERE id = 4;
-- Commit the operation
COMMIT;
This code fragment provides a glimpse into executing a transaction, focusing on the atomic execution of updates.
Overview of transactions
- What Are Transaction Types? Covers non-distributed, distributed, online, batch, two-step, flat, and nested transactions.
- Transaction vs. Query. Transactions are atomic sequences of operations, contrasting with single CRUD queries.
- Committing a Transaction. It's best to commit at the end of a transaction, keeping it efficient by including only necessary operations.
- Does NoSQL Support Transactions? Yes, several NoSQL databases offer transaction support, maintaining ACID principles.
Summary
Understanding database transactions is key for developers in the realm of relational databases, offering insights into their critical role in maintaining data integrity. Dive deeper into the topic with the comprehensive article Database Transactions 101: The Essential Guide.
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