What are the effects of deadlocks on database performance?
Deadlocks can severely impact database performance by causing transactions to wait indefinitely, leading to reduced throughput.
How can deadlocks be detected in a database?
Deadlocks can be detected using timeout mechanisms or by implementing deadlock detection algorithms that analyze transaction states.
What strategies can be used to prevent deadlocks?
To prevent deadlocks, you can use techniques like resource ordering, timeout settings, and deadlock avoidance algorithms.
Can you give an example of a deadlock scenario?
Sure! A classic example is when Transaction A holds a lock on Resource 1 and waits for Resource 2, while Transaction B holds a lock on Resource 2 and waits for Resource 1.
What are the long-term impacts of frequent deadlocks?
Frequent deadlocks can lead to increased latency, reduced user satisfaction, and higher resource consumption, ultimately affecting system reliability.
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