What are the real-world applications of isolation levels in databases?
Isolation levels in databases determine how transaction integrity is visible to other transactions. They are crucial in scenarios like banking, where accuracy is vital.
Can you explain the different isolation levels?
Sure! The main isolation levels are Read Uncommitted, Read Committed, Repeatable Read, and Serializable. Each level balances consistency and performance differently.
How does the isolation level affect performance?
Higher isolation levels like Serializable provide more consistency but can lead to increased locking and reduced concurrency, impacting performance.
What isolation level is best for online banking?
For online banking, Serializable is often preferred to ensure complete accuracy and prevent anomalies during transactions.
Are there any trade-offs with using higher isolation levels?
Yes, while higher isolation levels enhance data integrity, they can lead to performance bottlenecks due to increased locking and reduced throughput.
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