甲骨文
作者:令狐达【eNet硅谷动力消息】据国外媒体报道,一枝独秀的开源数据库MySQL上月推出了最新的5.0版,与此同时,全球数据库软件巨头甲骨文宣布收购开源数据库厂商Innobase。于是,MySQL和甲骨文这两个有着天壤之别的数据库公司扯上了关系——MySQL的数据库引擎正是Innobase的产品。数据库业界非常关注要和开源数据库竞争的甲骨文是否会采取什么"不 道义"动作"切断"MySQL的后路。11月22日,MySQL先下手为强,该公司高层表示,正在考虑向用户提供另外一个不同于Innobase的数据库引擎。
MySQL负责EMEA(欧洲、中东、非洲)市场的副总裁理查德·马森22日表示:"很显然,由于甲骨文收购了Innobase公司,我们正在考虑以某种方式取代Innobase的数据库引擎。" 马森说目前还不能公开详细的计划,但估计很快就会出台。
MySQL数据库一直采用芬兰开源数据库厂商Innobase的数据库引擎。该软件组件被认为是在在线事务处理应用中最优秀的数据库引擎产品。
上月,在宣布收购Innobase时,甲骨文公司表示将会继续开发Innobase旗下的技术。据悉,Innobase数据库引擎目前通过一个长期协议和MySQL打包发行,而这个协议明年将需要续签。
22日在伦敦召开的MySQL北欧客户会议上,该公司的联合创始人David Axmark所遭遇的第一个问题就是,甲骨文收购Innobase将给给MySQL带来什么影响。Axmark回答说,数据库引擎是"可插拔"的,言下之意是Innobase数据库引擎可以被替换。不过,Axmark指出,MySQL在根据开源的GPL许可协议使用Innobase的软件,因此不存在其代码不能使用的问题。
据业界猜测,MySQL可能会根据现有的Innobase产品开发一个新版的数据库引擎,或是转向其他开源的数据库引擎。
数据库专家表示,即使MySQL明年无法和Innobase续签协议,该数据库仍然可以使用现有的殷勤代码。不过,如果甲骨文保留一些算法和文件结构等底层技术的专利,则局面会比较复杂,MySQL也只能转向其他引擎。
据MySQL公司称,其开源数据库的下载已经超过了100万份。此外,MySQL公司已经和戴尔、惠普和Novell等公司签署了全球发行协议,也可按每台服务器收取一定年费的方式提供后续技术支持。

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

MySQL asynchronous master-slave replication enables data synchronization through binlog, improving read performance and high availability. 1) The master server record changes to binlog; 2) The slave server reads binlog through I/O threads; 3) The server SQL thread applies binlog to synchronize data.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

The installation and basic operations of MySQL include: 1. Download and install MySQL, set the root user password; 2. Use SQL commands to create databases and tables, such as CREATEDATABASE and CREATETABLE; 3. Execute CRUD operations, use INSERT, SELECT, UPDATE, DELETE commands; 4. Create indexes and stored procedures to optimize performance and implement complex logic. With these steps, you can build and manage MySQL databases from scratch.

InnoDBBufferPool improves the performance of MySQL databases by loading data and index pages into memory. 1) The data page is loaded into the BufferPool to reduce disk I/O. 2) Dirty pages are marked and refreshed to disk regularly. 3) LRU algorithm management data page elimination. 4) The read-out mechanism loads the possible data pages in advance.

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.


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