How does the use of database locks impact transaction concurrency and performance?
- Deadlocks
- Improved scalability
- Increased concurrency
- Reduced contention
While database locks ensure data integrity by preventing concurrent access to shared resources, they can also lead to deadlocks, where two or more transactions are waiting for each other to release locks, causing a stalemate. This reduces concurrency and can degrade performance. To mitigate deadlocks, databases employ strategies such as deadlock detection and resolution, lock timeouts, and lock escalation.
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