Sun在其收购后的第一次MySQL会议后,决定在开源数据库方面对MySQL进行升级。Sun将利用这项活动在美国加州发布MySQL 5.1,新版本增加了几个新的特点,使数据库能够更适合在大型企业的关键业务应用。 “5.1虽然听起来是似乎是小幅度的升级,但是已经具备了一些
Sun在其收购后的第一次MySQL会议后,决定在开源数据库方面对MySQL进行升级。Sun将利用这项活动在美国加州发布MySQL 5.1,新版本增加了几个新的特点,使数据库能够更适合在大型企业的关键业务应用。“5.1虽然听起来是似乎是小幅度的升级,但是已经具备了一些非常出色的特点,”Sun的MySQL产品部副总裁Zack Urlocker表示。“也许我们该称它为6.0,因为这里面包含了很多升级,并且我们已经为这个研究了数年的时间。”
5.1的优势主要体现在分区,事件管理,基于行的复制和基于磁盘的集群.它们都已经成为IBM,Oracle, 和Microsoft提供的标准升级功能,但是他们必须帮助MySQL提高在性能和规模是至关重要的环境下的竞争力.
“我们真正做到了一件值得骄傲的事,就是我们修复了5.0版本的一批BUG,”Urlocker表示,“所以5.1不仅具有更高的可靠性,而且性能提升20%左右,这次升级将带来一个显著的性能提升和可扩展性的增强.”
MySQL曾表示在第一季度,3月31日之前发布5.1,一些开发商也都在等待新版本的发布.一位英国的用户在上个月就曾表示:“我有点失望,一季度已经差不多快要结束了,但是还没有看到任何要发布MySQL 5.1的迹象.”
下周的讨论议题主要包括交易引擎MySQL的开发者应该在发展的过程中注重哪些方面.今天大部分顾客都在使用InnoDB,这个软件已经在几年前变成了一种习惯性用于Oracle,MySQL一直在开发一种替代品,叫做Falcon,这将与MySQL 6.0一同发布.
同时,MySQL最早的开发者之一Michael Widenius正在开发一个叫作Maria的交易引擎,它的一个版本已经在1月份发布.
“Maria开发团队的目标是使Maria成为MySQL AB的默认交易引擎,Falcon团队也是同样的这个目标.”Michael Widenius曾经在博客中写道.
开发商也在为MySQL寻找一个新的路线图,在一些Sun以10亿美元结束收购后没有给出的领域,它们在寻找一些Sun不会干预MySQL的开放源代码的发展模式,以及一些它已经承诺不会去做的那些方面.
Sun看起来的确在精心收集关于Falcon的市场信息,该软件将在“多核心,多线程环境下被优化为WEB应用程序,”Urlocker表示.Sun一直在使用类似的语言,在其运行繁忙服务器上的多核心、多线程处理器上.
另外,Poodle十分看好这次收购,Sun是一家同时提供免费和付费产品的大公司,这将有助于MySQL打入企业市场.他表示:“我并不是说MySQL已经在一定水平上能同那些大型的产品相比,但是它正在快速在成长.”
【相关文章】
- MySQL聚焦Web 2.0的可扩展性
- GlassFish和MySQL社区共同发布新的软件包
- Sun宣布已完成对开源数据库MySQL的收购

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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