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Demystifying Concurrency Control: Pessimistic vs Optimistic - Fallback Summary
This article aims to provide a comprehensive understanding of concurrency control, a critical aspect of database management systems, and the differences between pessimistic and optimistic concurrency control strategies.
Concurrency Control
Concurrency control is a technique used to ensure the integrity and consistency of data when multiple transactions are executed concurrently.
Pessimistic Concurrency Control
- Pessimistic concurrency control assumes that conflicts between transactions are likely to occur, and it locks resources that are being used by a transaction to prevent other transactions from accessing them.
- This strategy can lead to poor performance due to the frequent locking and waiting for resources, but it guarantees consistency.
Optimistic Concurrency Control
- Optimistic concurrency control assumes that conflicts between transactions are rare. It allows transactions to proceed without locks, and it checks for conflicts only at the end.
- This strategy can improve performance by reducing locking and waiting, but it may lead to inconsistencies if conflicts occur and are not detected.
The choice between pessimistic and optimistic concurrency control depends on the characteristics of the application, such as the frequency of conflicts, the number of concurrent transactions, and the importance of consistency and performance.
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