May 1, 2024
Updated May 11, 2025
30 minute read
Concurrency control, at its core, is about managing simultaneous operations in a computing environment to ensure that they occur without interfering with each other and leading to incorrect results. Imagine multiple users trying to access and modify the same piece of data in a database at the exact same moment; without a system to manage these interactions, chaos could ensue, leading to corrupted data or inaccurate information. Concurrency control provides the mechanisms to prevent such issues, making it a fundamental concept in database management systems (DBMS) and other multi-user systems. Its primary goal is to allow multiple transactions to proceed concurrently while maintaining the integrity and consistency of the data.
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Reading list
We've selected five 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
Concurrency Control.
By Jim Gray, a Turing Award winner for his contributions to database systems, focuses on transaction processing, which core aspect of concurrency control. It provides in-depth coverage of transaction models, concurrency control algorithms, and recovery techniques. It is highly recommended for those seeking a deeper understanding of these topics.
By Philip Bernstein, another Turing Award winner for his work on transaction processing, provides a comprehensive treatment of the principles and techniques used in transaction processing systems. It covers concurrency control, recovery, and other related topics.
This classic textbook provides a comprehensive introduction to database management systems, including a chapter dedicated to concurrency control. It covers the fundamental concepts, algorithms, and techniques for ensuring data integrity and consistency in multi-user environments.
Provides a practical and technical deep dive into the internals of distributed database systems. It covers concurrency control, distributed transactions, and other related topics, offering insights into the implementation and optimization of these systems.
Focuses on concurrency in the Go programming language. It covers concurrency primitives, synchronization techniques, and best practices for writing concurrent code. While not directly related to database systems, it provides valuable insights into concurrency programming.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/957z6f/concurrency