甲骨文与MySQL谈判 收购矛头开始指向开源_MySQL
甲骨文
【赛迪网讯】2月17日消息,甲骨文周三宣布收购瑞典电信基础构架软件商HotSip,但未公布具体的交易额。由此不难看出,甲骨文的疯狂并购远远没有结束。据国外杂志《红鲱鱼》报道,收购HotSip公司将进一步巩固甲骨文在电信市场的地位,从容应对此前已进入该市场的BEA系统公司的竞争威胁。与此同时,甲骨文还与开源数据库服务商MySQL展开谈判,但MySQL公司CEO马丁-米库斯表示,MySQL已拒绝了甲骨文的收购 要约,因为该公司希望保持独立。本周早些时候,甲骨文宣布建立1850万的风险资本基金。甲骨文一位发言人不愿对收购MySQL事宜发表评论。
本周初,甲骨文收购了位于加州的开源数据库提供商Sleepycat。近期的一系列举动表明,甲骨文已准备拥抱开源商业模式,与传统的商业软件不同,开源软件大多是免费的,厂商的收入主要来自维护和技术支持服务,然而到目前为止,商业软件仍然是甲骨文的主要收入来源。
甲骨文的最新战略显然与其CEO拉里-埃利森去年九月份的声明不相符合,埃利森当时表示,经过一年的突击收购之后,甲骨文将放缓收购步伐。甲骨文的新战略显然已有所变化,与以往专注于商务应用不同,现在更加倾向于开源及商务智能领域。(n102)
作者:啸风

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.


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