MySQL 8 Cookbook:实现最高级别企业数据库可扩展性、安全性的现成解决方案
For database developers, administrators, engineers, and backend developers, MySQL 8 Cookbook provides solution-focused recipes. This book takes a practical approach to solving real-world problems by showing readers how to increase database security, enhance performance, and fix common MySQL issues through the use of numerous examples. You will learn how to install, configure, and tune MySQL for optimal performance in Linux environments. Important topics like backup strategies, security measures, query optimization, high availability, and replication are covered in each chapter. You will learn to partition and index datasets in a way that improves query performance, and the book provides step-by-step solutions to help them manage big datasets. With the help of this book, you can convert MySQL into a schema-less database that can manage unstructured data with ease, and it even handles modern data types like JSON. You can build fault-tolerant and scalable database systems including the implementation of multi-source replication, master-slave replication, and master-master replication. Problems like table corruption, excessive CPU and memory usage, deadlocks, and replication lag are addressed in the troubleshooting sections. Also shown are methods for automating and monitoring database security using Linux tools, cron jobs, and MySQL's performance schema. Whether you're managing enterprise databases or developing backend applications, this book will teach you to improve your database management skills and ensure peak performance for systems that are critical to business. Key Learnings Discover the ins and outs of installing, configuring, and optimizing MySQL 8 for high-performance database systems. Maximize database availability by implementing advanced replication setups, including master-master and multi-source. Take advantage of partitioning and indexing techniques to efficiently manage massive datasets and improve query performance. Use MySQL's relational and NoSQL features in combination to manage dynamic and schema-less data using JSON support. Use cron jobs and Linux-native tools to automate backups, recovery, and security audits. Find the cause of MySQL problems like table corruption, deadlocks, and replication lag and fix them. Implement strong firewall settings, encryption, and user access control to protect your MySQL environment. Use memory tuning and full-text search indexing to optimize MySQL performance and speed up queries. Use MySQL's performance schema in conjunction with Linux tools to keep an eye on system performance and resource usage. Table of Content Installing and Configuring MySQL 8 Optimizing MySQL Architecture and Storage Engines Securing MySQL Optimizing Queries and Performance Configuring MySQL Replication Enhancing MySQL High Availability Automating MySQL Maintenance and Updates Advanced MySQL Troubleshooting and Debugging Monitoring and Tuning MySQL Performance
英文| 2024年8月20日| ISBN-10:8119177649 | 236页|电子版PDF | 1 MB MySQL 8 Cookbook为数据库开发人员、管理员、工程师和后端开发人员提供了以解决方案为中心的食谱。本书采用了一种实用的方法来解决现实世界的问题,通过使用大量示例向读者展示了如何提高数据库安全性、增强性能和修复常见的MySQL问题。您将学习如何安装、配置和调优MySQL,以在Linux环境中获得最佳性能。每章都涵盖了备份策略、安全措施、查询优化、高可用性和复制等重要主题。您将学习如何以提高查询性能的方式对数据集进行分区和索引,本书提供了分步解决方案来帮助他们管理大型数据集。借助本书,您可以将MySQL转换为无模式数据库,可以轻松管理非结构化数据,甚至可以处理JSON等现代数据类型。您可以构建容错和可扩展的数据库系统,包括实现多源复制、主从复制和主从复制。表损坏、CPU和内存使用率过高、死锁和复制延迟等问题将在故障排除部分中解决。还显示了使用Linux工具、cron作业和MySQL的性能模式自动化和监控数据库安全的方法。无论您是管理企业数据库还是开发后端应用程序,本书都将教您提高数据库管理技能,并确保对业务至关重要的系统达到最佳性能。关键学习发现安装、配置和优化MySQL 8以实现高性能数据库系统的来龙去脉。通过实施高级复制设置(包括主从和多源)最大限度地提高数据库可用性。利用分区和索引技术有效地管理海量数据集并提高查询性能。结合MySQL的关系和NoSQL功能,使用JSON支持管理动态和无模式数据。使用cron作业和Linux本机工具自动执行备份、恢复和安全审计。找出MySQL问题的原因,如表损坏、死锁和复制延迟,并加以修复。实施强大的防火墙设置、加密和用户访问控制,以保护您的MySQL环境。使用内存调优和全文搜索索引来优化MySQL性能并加快查询速度。将MySQL的性能模式与Linux工具结合使用,以密切关注系统性能和资源使用情况。安装和配置MySQL 8优化MySQL架构和存储引擎保护MySQL优化查询和性能配置MySQL复制增强MySQL高可用性自动化MySQL维护和更新高级MySQL故障排除和调试监控和调整MySQL性能本站不对文件进行储存,仅提供文件链接,请自行下载,本站不对文件内容负责,请自行判断文件是否安全,如发现文件有侵权行为,请联系管理员删除。
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