A set of properties ensuring reliable processing of database transactions. Still applies to structured portions of multimodal systems.
How It Works
When a transaction starts, every operation follows the ACID rules. If something fails, the database undoes any partial changes to avoid corrupt data. If everything is successful, all the changes are saved. This approach prevents data from getting messed up.
Technical Details
Behind the scenes, database engines use logs, locks, and close coordination to enforce ACID. They keep track of each step to make sure every change either happens completely or not at all. They also isolate concurrent transactions from each other and guarantee that changes aren't lost once committed.
Best Practices
Wrap multiple statements in a transaction to keep data consistent
Avoid long-running transactions that block other operations
Use logs to record errors that cause rollbacks
Keep regular backups for extra safety
Common Pitfalls
Skipping transactions when updating more than one table at a time
Relying on auto-commit without a clear grasp of ACID guarantees
Overlooking concurrency problems or ignoring isolation levels
Not planning for data recovery in serious failures
Advanced Tips
Pick the right isolation level based on how much concurrency you need
Use savepoints for complex transactions that might fail in parts
Consider distributed transactions in multi-node setups for extra reliability
Tweak database settings to optimize transaction lock performance