作者:李华植 译者:郑保卫、盖国强 出版社:电子工业出版社 推荐理由: 10亿韩元40万册销售神话,韩国数据库泰斗李华植先生力作,风摩日韩。 内容简介: 《海量数据库解决方案》将整体内容分为两部分,在第1部分中以影响数据读取效率的所有要素为类别,对其
作者:李华植
译者:郑保卫、盖国强
出版社:电子工业出版社
推荐理由:10亿韩元40万册销售神话,韩国数据库泰斗李华植先生力作,风摩日韩。
内容简介:
《海量数据库解决方案》将整体内容分为两部分,在第1部分中以影响数据读取效率的所有要素为类别,对其各自的概念、原理、 特征、应用准则,以及表的结构特征、多样化的索引类型、优化器的内部作用、优化器为各种结果制定的执行计划予以详细说明,并以对优化器的正确理解为基础,提出对执行计划和执行速度产生最大影响的索引构建战略方案;在第2部分中主要介绍提高数据读取效率的具体战略方案,在这部分中介绍与数据读取效率相关的局部范围扫描的原理和具体应用方法,以及对被认为是提高数据库使用效率基础的表连接的所有类型予以详细说明。
《海量数据库解决方案》系列丛书深受广大读者的喜爱已经长达10年之久,在被誉为“圣经”的同时,它已经变成了数据库用户不可或缺的必读书籍。作者竭力探求能够让IT工作者在实际工作中轻松应用并掌控的巧妙方法,提供事半功倍的海量数据库解决之道。
《海量数据库解决方案》适合数据库开发人员和数据库管理员等阅读。
2011最具影响力引进图书篇评选地址:http://subject.csdn.net/selection2011/gwbook.html

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

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In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.

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TocreateanindexinMySQL,usetheCREATEINDEXstatement.1)Forasinglecolumn,use"CREATEINDEXidx_lastnameONemployees(lastname);"2)Foracompositeindex,use"CREATEINDEXidx_nameONemployees(lastname,firstname);"3)Forauniqueindex,use"CREATEU

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.


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