Logging deadlocks in sql server Video Lecture | SQL Server Administration: Basic Tutorials - Database Management

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FAQs on Logging deadlocks in sql server Video Lecture - SQL Server Administration: Basic Tutorials - Database Management

1. What is a deadlock in SQL Server?
Ans. A deadlock in SQL Server occurs when two or more transactions are waiting for each other to release resources, resulting in a situation where none of the transactions can proceed. This can cause the database system to become unresponsive and requires intervention to resolve.
2. How can deadlocks be detected in SQL Server?
Ans. Deadlocks in SQL Server can be detected using various methods such as SQL Server Profiler, Extended Events, and system health extended events. These tools capture information about the deadlock events, including the involved transactions and resources, which can then be analyzed to identify and resolve the deadlock issues.
3. How can logging deadlocks help in SQL Server?
Ans. Logging deadlocks in SQL Server helps in understanding the root cause of deadlock occurrences and provides valuable information for troubleshooting and resolving the issue. By reviewing the logged information, database administrators can identify the specific transactions and resources involved in deadlocks, allowing them to optimize queries, adjust transaction isolation levels, or make changes to the database schema to prevent future deadlocks.
4. What are the common causes of deadlocks in SQL Server?
Ans. Common causes of deadlocks in SQL Server include poor database design, inefficiently written queries, lack of proper indexing, long-running transactions, and improper transaction isolation levels. These factors can lead to contention for resources such as tables, rows, or locks, resulting in deadlocks.
5. How can deadlocks be prevented in SQL Server?
Ans. Deadlocks in SQL Server can be prevented by following best practices such as optimizing queries and database design, ensuring proper indexing, keeping transactions short and efficient, using appropriate transaction isolation levels, and regularly monitoring and tuning the database. Additionally, implementing deadlock detection and resolution mechanisms, such as setting deadlock priority or using lock timeouts, can also help prevent deadlocks.
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