大数据浪潮汹涌袭来、一场新的信息技术革命即将开始。ldquo;春江水暖鸭先知rdquo;,作为数据库从业人员的我、体会尤为深刻。然
大数据浪潮汹涌袭来、一场新的信息技术革命即将开始。“春江水暖鸭先知”,,作为数据库从业人员的我、体会尤为深刻。
然而、无论是Oracle的 EXADATA 还是MySQL的Scale Out、或者NoSQL、都有其各自的适用场景、没有优劣之分。
数据的大集中还是大分布、这取决于公司的财务、技术支持、氛围、需求等等。
看下2013年4月份各数据库在市场的占用率:
其次谈谈Oracle收购MySQL、很多人对MySQL持悲观态度、但我认为、Oracle对MySQL作了相当多的投入:
1.模块化重构MySQL代码
2.优化开发模型
3.出色的MySQL性能优化专家
4.持续提升MySQL的分区功能
5.严谨的MySQL QA团队
6.持续发展InnoDB
7.持续提升MySQL的复制、优化器以及可管理性
当然了、还有很多、这只是冰山一角、请悲观的人乐观些
这本书属于基础扫盲书籍、重在帮读者理清概念、每一章节都是两种数据库操作的对比、只有明白了这些差异、才能做到无缝操作
对于要在Oracle和MySQL之间迁移的用户、或者想基于这两种数据库平台开发应用的用户来说、应该是一个很大的帮助
举几个例子:
① 第6章、P131
在这一章里面、明确阐述了Oracle里的schema和用户是同义
而在MySQL里、schema其实和数据库是同义
我觉得、对于这一点的区分尤为重要、在Oracle中、创建一个库、那是个庞大的工程
然而、在MySQL中、却只要create database 即可
所以、有必要理清两者database的不同之处
② 第2章、P46
在这一章里、对MySQL Monitor的日常管理和基础操作作了比较详尽的介绍
MySQL Monitor和Oracle的SQL*PLUS是同义的、作者在书里也有相应的对比
③ 本书的架构非常好
本书的每一章节都是Oracle讲完、然后讲MySQL、接着对比这两者的异同点、
每一个小点都没有深入、简单明了、操作也清晰很多
④ 每章节后面的书后习题
对于这部分的设置、或许于已经工作的人来说没太大必要
如果把本书置于大学课堂、对于讲师、学生、可能还是很有用的
指不定在什么时候、大学的数据库原理所使用的数据库不再是MSSQL而是Oracle了
也许在不远、
⑤ 第5章的约束
数据库的5种约束、一直以来令很多初学者在使用上感到困惑
在这一章里面、我个人觉得作者对着两种数据库的约束在使用上做出了介绍
这种介绍在操作上让人一目了然、还是不错的
⑥ 第3章的安全模型
对于MySQL的安全讲的稍微不足、也许是本书的定位吧
本书在于对Oracle和MySQL在开发方面的介绍、但MySQL的安全、我认为从事DBA的人都应该深入理解
当然、本书也存在着一些翻译上的不足、略显生硬、
比如:第7章 P217 Oracle 数据库中抛弃视图、这里的"抛弃"、实属不该翻译出来
比如:第3章 P79 定义者和调用者权利、这里的"权利"、在数据库里术语应该是"权限"
这样的例子还有、就不一一列举、但这些都不妨碍阅读
Oracle Database 11g & MySQL 5.6开发手册 PDF清晰版 下载:

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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