甲骨文
CNET科技资讯网2月16日国际报道 甲骨文公司试图收购开放源代码数据库厂商MySQL ,这也是它日益向“合作编程”靠近的一个迹象。尽管业务在日益多元化,但甲骨文的主要业务仍然是销售其专有的数据库软件;MySQL 则试图使开放源代码产品商业化。
在“开放源代码商业会议”上接受采访时,MySQL 的首席执行官尼科斯证实了这一收购计划,但没有披露双方接触的时间、甲骨文的出价等详细情况。
但他解释了向甲骨文的收购说不的原因:保持公司的独立性。他说,我们将成为一家更大公司的一部分,但我们仍然是MySQL。
Redmonk的分析师斯蒂芬表示,这次收购对于甲骨文来说是明智的。这与蚕食现有的业务有关。如果认为是不可避免的,由自己来“蚕食”现有的业务总比由竞争对手来这样做好。
斯蒂芬表示,与IBM 收购Gluecode一样,Oracle也将从MySQL 获益。Gluecode的开放源代码Geronimo Java 应用服务器软件与IBM 专有的WebSphere 存在竞争关系。IBM 现在以WebSphere 社区版的品牌提供免费的Gluecode软件。
他说,甲骨文可以将MySQL 定位为低端产品,甲骨文还应当意识到,其大客户不大可能放弃企业级数据库。收购MySQL 还会为甲骨文打开相当规模的新市场。
数据库市场正处于重大变化中。IBM 、微软、甲骨文目前都免费提供低端的数据库产品,Ingres和EnterpriseDB等公司则在试图开发高端开放源代码数据库产品。
甲骨文已经收购了二家较小的开放源代码数据库厂商:2005年收购了InnoDB、本周二收购了Sleepycat ,但它在开放源代码领域的野心显然更大。例如,《商业周刊》就报道称甲骨文计划收购开放源代码应用服务器厂商JBoss。
MySQL和甲骨文存在竞争。斯蒂芬表示,它们的领地确实不同,甲骨文的领地是高端市场,MySQL 的领地是低端市场,但它们在中间有重迭的部分吗?答案是肯定的。

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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