What are concurrency control algorithms and why are they important?
Concurrency control algorithms manage simultaneous operations on a database to ensure data integrity and consistency.
Can you compare optimistic and pessimistic concurrency control?
Optimistic concurrency control assumes conflicts are rare and allows transactions to proceed without locking resources, while pessimistic control locks resources to prevent conflicts, which can lead to delays.
Which algorithm is generally more efficient?
Optimistic concurrency control is often more efficient in environments with low contention, while pessimistic control may be better in high contention scenarios.
What are some real-world applications of these algorithms?
Real-world applications include banking systems, online transaction processing, and collaborative software where multiple users access shared data.
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