May 1, 2024
3 minute read
Concurrency control is a fundamental aspect of database management that ensures data integrity and consistency in multi-user environments. Locking is a widely adopted technique in concurrency control mechanisms, providing a structured approach to managing concurrent access to shared resources.
Concurrency Control and Locking
In the context of databases, concurrency refers to the ability of multiple users to simultaneously access and modify data. To prevent data corruption and ensure data integrity, it is crucial to regulate concurrent access and maintain data consistency. Locking serves as a fundamental mechanism for achieving concurrency control.
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Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Locking.
A classic textbook on transaction processing, covering locking and concurrency control in-depth. It is highly recommended for advanced students and practitioners seeking a comprehensive understanding of these topics.
A comprehensive guide to database locking and latching, covering the fundamentals of locking, lock management techniques, and performance optimization strategies. It is particularly valuable for database professionals seeking a deeper understanding of concurrency control mechanisms.
A comprehensive guide to distributed lock management, covering various locking protocols, deadlock detection and resolution algorithms, and performance optimization techniques. It is valuable for system designers and developers working on distributed systems that require coordination and synchronization.
A comprehensive guide to PostgreSQL, including a chapter on locking and concurrency control. It provides a practical understanding of how PostgreSQL manages locks and ensures data integrity.
A practical guide to database internals, including a section on locking and concurrency control. It provides insights into how databases manage locks and handle concurrency issues.
A comprehensive guide to Elasticsearch, including a chapter on locking and concurrency control. It explains how Elasticsearch manages concurrency and provides guidance on optimizing search performance.
A French-language book providing a comprehensive introduction to locking principles and algorithms, suitable for students and practitioners seeking a foundational understanding of concurrency control mechanisms.
A practical guide to optimizing MySQL performance, covering locking and concurrency control techniques. It is valuable for database administrators and developers seeking to improve the performance of their MySQL systems.
A comprehensive guide to MongoDB, including a chapter on locking and concurrency control. It explains how MongoDB handles concurrency and provides practical advice for optimizing performance.
A practical guide to Redis, including a section on locking and concurrency control. It provides insights into how Redis implements locking and offers best practices for using locks effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/vml7ue/lockin
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