Sun微系统周二(2月26日)宣布,公司已完成了对开放源代码软件厂商MySQL的收购工作。Sun微系统表示,公司未来将进行更多的收购。Sun首席执行官乔纳森·施瓦茨(Jonathan Schwartz)在周二举行的新闻发布会中表示:“在我看来,收购MySQL是公司历史上最重要的一
Sun微系统周二(2月26日)宣布,公司已完成了对开放源代码软件厂商MySQL的收购工作。Sun微系统表示,公司未来将进行更多的收购。Sun首席执行官乔纳森·施瓦茨(Jonathan Schwartz)在周二举行的新闻发布会中表示:“在我看来,收购MySQL是公司历史上最重要的一次收购。”施瓦茨表示,Sun支付了8亿美元现金和2亿美元股票完成了对MySQL的收购。
舒瓦茨表示,尽管收购MySQL是公司收购开源软件厂商涉及金额最高的一笔收购,但这将绝不是最后一次。MySQL首席执行官马顿·米克斯将出任Sun数据库部门高级副总裁,他将向Sun微系统软件执行副总裁里奇·格林(Rich Green)直接汇报工作。
收购MySQL或许是Sun最重要的一笔收购,但绝对不是规模最大的一笔收购。2005年,Sun以31亿美元的价格收购了存储服务及解决方案提供商StorageTek。施瓦茨并未比较两笔收购,但却暗示收购MySQL将具有更大的潜力。他说:“MySQL拥有广泛的用户基础,收购该公司有助于扩大Sun用户群。相信没有几家公司能够提供像MySQL一样带来的机遇。”
在过去五年里,MySQL是最为成功的开放源代码软件公司之一,其数据库技术已广泛应用于全球各大网站,包括Google、Facebook、百度和诺基亚等等。Sun表示,通过这一交易,MySQL的数据库产品有望获得更多大企业客户,因为Sun服务器和软件主要面向大企业。
与此同时,得益于Sun与IBM和戴尔等公司建立的良好合作伙伴,MySQL产品的经销渠道将得到进一步拓宽。对Sun而言,收购MySQL有助于该公司更好地为开放源代码网络应用平台LAMP提供支持。LAMP是Linux操作系统、Apache网络服务器、MySQL数据库和PHP/Perl编程语言的首字母缩写。
Sun微系统一直是开放源代码软件的坚定支持者,该公司希望通过这一模式从软件业务获得更多营收。在此之前,Sun一直为MySQL的竞争对手PostgreSQL销售支持服务。
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Sun CEO称收购MySQL无碍与Oracle合作
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专题:Sun以10亿美元并购开源数据库厂商MySQL

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi

MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.


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