What are the trade-offs of transaction isolation in databases?
Transaction isolation levels determine how transaction integrity is visible to other transactions. Higher isolation can prevent issues like dirty reads but may reduce concurrency.
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.
What are the implications of using Serializable isolation?
Using Serializable isolation ensures complete isolation from other transactions, preventing phenomena like phantom reads. However, it can lead to increased locking and reduced throughput.
How do these trade-offs affect application performance?
Higher isolation levels can lead to more locking and waiting, which may slow down application performance. It's essential to choose the right level based on your application's needs.
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