在我们这个时代,互联网上的资讯、交友、交易、Blog、游戏……已经融入了我们的生活。很难想象,一下子没了互联网我们会如何的不习惯,恐怕堪比互联网出现前突然让所有家庭没了电视。大量互联网上人的活动,产生大量有价值信息,这些信息被存放于数据库中。
在我们这个时代,互联网上的资讯、交友、交易、Blog、游戏……已经融入了我们的生活。很难想象,一下子没了互联网我们会如何的不习惯,恐怕堪比互联网出现前突然让所有家庭没了电视。大量互联网上人的活动,产生大量有价值信息,这些信息被存放于数据库中。互联网也对数据库的技术传播功不可没。2000年的时候,要在网络上寻找有关数据库的技术资讯是那样地艰难,大量技术问题都需要自己去摸索。2002年oracle数据库讨论和学习氛围的兴起,成就了那一代数据库技术爱好者。他们对数据库技术的热爱,以及乐于分享的精神,促进了DBA这个行业的蓬勃发展。
随着时代的进步,大中型机的没落,Intel CPU技术的发展引领着PC Server的更新换代,与小型机的性能差距越来越小,到今天价格几万人民币的PC Server已经可以超越部分厂家的价格百万的小型机处理能力。PC Server 的低成本和高性能是LAMP发展的基础,成本的巨大差异是用户选择pc server的原动力。数据的爆发增长对于数据库的渴求,让人们自然地将目光投向了MySQL,MySQL作为开源数据库的领军人物,向以投入成本大的Oracle数据库发起了挑战。其实在中国这么多年来MySQL数据库的应用和管理人才非常少,基本停留在非常初级的阶段。如今的状况看起来就跟2001年左右的Oracle数据库状况一样。这意味着MySQL数据库领域可能迎来高速的发展,这样也必然形成金字塔型的人才结构。在目前普遍应用非常简单的状况下,通过一两年努力,就很容易占到行业的前端,这样随着市场的扩大,站在行业领域前沿的人的价值也就越大。
本书作者刚参加工作的时候也是做Oracle数据库,后来对MySQL经过潜心研究和应用实践,在这个领域已经处于国内领先行列。为了加快这个行业的快速发展,作者不断地在互联网上分享他的研究成果,到今天整理成书,是一个自然的结果。作者对MySQL技术细致深入,对大规模群集方面有着丰富的解决方案。只要大家看一看本书内容,就知道本书的价值。这恐怕是国内市面上第一本如此透彻、深入的书籍。最后感谢作者给我们带来这样精彩的作品。
冯春培
阿里巴巴首席DBA、研究员,Oracle ACE
注:此推荐序版权归 冯春培(BitiRainy) 所有
原文地址:《MySQL性能调优与架构设计》推荐序-From BitiRainy, 感谢原作者分享。

MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.

Use the EXPLAIN command to analyze the execution plan of MySQL queries. 1. The EXPLAIN command displays the execution plan of the query to help find performance bottlenecks. 2. The execution plan includes fields such as id, select_type, table, type, possible_keys, key, key_len, ref, rows and Extra. 3. According to the execution plan, you can optimize queries by adding indexes, avoiding full table scans, optimizing JOIN operations, and using overlay indexes.

Subqueries can improve the efficiency of MySQL query. 1) Subquery simplifies complex query logic, such as filtering data and calculating aggregated values. 2) MySQL optimizer may convert subqueries to JOIN operations to improve performance. 3) Using EXISTS instead of IN can avoid multiple rows returning errors. 4) Optimization strategies include avoiding related subqueries, using EXISTS, index optimization, and avoiding subquery nesting.

Methods for configuring character sets and collations in MySQL include: 1. Setting the character sets and collations at the server level: SETNAMES'utf8'; SETCHARACTERSETutf8; SETCOLLATION_CONNECTION='utf8_general_ci'; 2. Create a database that uses specific character sets and collations: CREATEDATABASEexample_dbCHARACTERSETutf8COLLATEutf8_general_ci; 3. Specify character sets and collations when creating a table: CREATETABLEexample_table(idINT

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

Renaming a database in MySQL requires indirect methods. The steps are as follows: 1. Create a new database; 2. Use mysqldump to export the old database; 3. Import the data into the new database; 4. Delete the old database.


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