Sun被Oracle收购后,关于MySQL何去何从一直被业界争论不休。这个最受欢迎的开源数据库,因为这起并购交易存在不确定性而变得扑朔迷离,导致大量用户流失。近日,PostgreSQL创始人之一的Bruce Momjian在接受媒体采访时表示MySQL衰退,这并不是一件很令人惊奇的
Sun被Oracle收购后,关于MySQL何去何从一直被业界争论不休。这个最受欢迎的开源数据库,因为这起并购交易存在不确定性而变得扑朔迷离,导致大量用户流失。近日,PostgreSQL创始人之一的Bruce Momjian在接受媒体采访时表示MySQL衰退,这并不是一件很令人惊奇的事情。 Bruce Momjian认为MySQL衰退缘自2个方面的原因,其一,MySQL定位不明晰,其二MySQL不是一个纯粹的开源数据库。
Bruce Momjian进一步解释:之所以说MySQL定位不明晰,是因为其初始目标定位在网络应用的用户层面上,而互联网企业要求的是一个快速反应时间和较小 的用户量,但相对大用户来说,MySQL就有点捉襟见肘了。虽然MySQL非常努力去试图满足大客户的应用,想扩展企业级应用标准,但因为前期开发的框架 不是很明晰,导致不是很成功,结果是我们看到的先是被Sun收购,又被Oracle并购。
作为一个小型关系型数据库管理系统,MySQL的开发者为瑞典MySQLAB公司,并在2008年1月16日被Sun微系统公司以10亿美元的价格收购。
PostgreSQL创始人之一Bruce Momjian
Bruce Momjian认为:MySQL数据库是一个公司的一产品,是一个公司做了绝大部分开发的工作,所以MySQL不是完全意义上的开源数据库,这是个劣势,不能得到绝大多数人的支持,或让社区更多人参与进来。
IDC的数据显示,2008年MySQL营收为4000万美元,市场份额为0.2%。MySQL每天下载量约为6万次,是当前应用最广泛的开源数据 库, 按照欧盟委员会的说法,其实际竞争力远高于按市场份额计算应有的水平。同时,欧盟委员会还表示担忧,甲骨文收购开源软件数据库软件MySQL可能会消除重 要的竞争对手和提高这种软件的价格。尽管Oracle承诺会保持MySQL的独立性,众多反对者还是担心,如果MySQL被最大的私有数据库厂商 Oracle收归麾下,可能遭到Oracle的抛弃甚至打压。
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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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