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MySQL High Availability

Written by Charles Bell,Lars Thalmann,Mats Kindahl

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948 pages, about 19 hours of reading

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About this book

Server bottlenecks and failures are a fact of life in any database deployment, but they don’t have to bring everything to a halt. This practical book explains replication, cluster, and monitoring features that can help protect your MySQL system from outages, whether it’s running on hardware, virtual machines, or in the cloud. Written by engineers who designed many of the tools covered, this book reveals undocumented or hard-to-find aspects of MySQL reliability and high availability—knowledge that’s essential for any organization using this database system. This second edition describes extensive changes to MySQL tools. Versions up to 5.5 are covered, along with several 5.6 features. Learn replication fundamentals, including use of the binary log and MySQL Replicant Library Handle failing components through redundancy Scale out to manage read-load increases, and use data sharding to handle large databases and write-load increases Store and replicate data on individual nodes with MySQL Cluster Monitor database activity and performance, and major operating system parameters Keep track of masters and slaves, and deal with failures and restarts, corruption, and other incidents Examine tools including MySQL Enterprise Monitor, MySQL Utilities, and GTIDs

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Reading guide

Themes, characters and key ideas in MySQL High Availability, written by Chaptra AI.

  • about 75 hours
  • advanced
  • Informative
  • Practical
  • Technical

"MySQL High Availability" is an authoritative technical guide designed to equip database administrators and engineers with the knowledge and tools to ensure the continuous operation and performance of MySQL systems. Authored by engineers intimately involved in MySQL's development, it delves into critical features like replication, clustering, and monitoring. The book provides practical strategies for mitigating downtime, handling failures through redundancy, and scaling databases to manage increasing read and write loads. It covers MySQL versions up to 5.5 and introduces features from 5.6, offering insights into both well-known and undocumented aspects of achieving robust and reliable MySQL deployments across various environments, including hardware, virtual machines, and cloud infrastructures.

"Redundancy is not merely a feature; it is the fundamental principle underpinning any truly highly available system."

Key themes

Redundancy and Fault Tolerance
This theme explores the foundational principle of high availability: eliminating single points of failure by duplicating critical components. The book details how replication, clustering, and backup strategies create redundant systems that can absorb failures without interrupting service. It covers specific implementations like master-slave replication and MySQL Cluster, emphasizing how to design systems to continue operating even when individual parts fail.
Scalability and Performance Optimization
This theme addresses the challenge of managing increasing data volumes and user traffic. The book explains techniques for scaling MySQL systems both vertically (upgrading hardware) and, more importantly, horizontally (adding more servers). It covers strategies like read-load distribution using replication, and data sharding to handle massive databases and high write loads, while also touching upon performance monitoring to identify and resolve bottlenecks.
Monitoring and Incident Management
This theme emphasizes the necessity of continuous oversight of MySQL systems to detect issues early and respond effectively. The book covers various monitoring tools and techniques, from tracking database activity and performance metrics to observing operating system parameters. It also provides guidance on how to manage and recover from incidents such as server failures, data corruption, and network outages, including practical advice on dealing with restarts and data consistency.

Worth discussing

What are the primary trade-offs between different high-availability solutions (e.g., master-slave replication vs. MySQL Cluster vs. Galera)?

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