甲骨文
吞Siebel 裁员2000甲骨文下一收购目标锁定开放源代码公司
本报记者 惠正一 综合报道
甲骨文公司(Oracle Corp.)的胃口一向大得惊人。去年年初,公司以106亿美元吞下仁科(PeopleSoft)。今年年初又以58 亿美元搞定Siebel Systems Inc.。不过,目前甲骨文得为其好胃口付出一点代价,公司新近宣布,由于业务整合的需要公司将裁员2000人。此外,这个“大胃王”依旧不满足,消息人士透露,公司正在寻觅新的猎物,这次的目标则是知名的开放源代码软件公司。
上周甲骨文放出风声称,为了消化收购,公司将裁减2000人,相当于公司员工总数的3.5%,裁减后公司全球员工总数将降至5.5万人。该裁减幅度略低于此前分析师的预计。与此同时,Siebel收购案将为甲骨文带来4700名员工的“陪嫁”。不过为了安抚刚过门的Siebel,甲骨文表示,这次裁员将主要针对甲骨文原有员工,而原Siebel旗下90%的客户服务、工程技术和销售人员都将予以保留。
在消化整合的同时,甲骨文也没有忘记寻找下一个目标。《华尔街日报》最新报道称,甲骨文有意收购JBoss Inc.、Zend Technologies Inc.和 Sleepycat Software Inc.,这些收购价总额约为6亿美元,目前谈判正在进行中。目前为止,甲骨文、JBoss、Zend 和Sleepycat都没有就此发表评论。不过,有消息人士称,甲骨文和Zend的谈判并不顺利。
此前,甲骨文等公司对开放源代码产品颇有异议。而如今这批针对知名开放源代码软件公司的潜在收购则从一个侧面反映出甲骨文发展战略的调整。显然,甲骨文已经意识到开放源代码技术不是威胁而是机遇。
目前,开放源代码产品给企业软件市场带来的冲击日益明显。而企业软件市场正是甲骨文面临的核心战场之一。公司的旗舰数据库正面临着Ingres和MySQL等开放源代码数据库产品的挑战。而IBM和微软也正面临着同样的威胁。在这一背景下,甲骨文CEO埃利森(LarryEllison)上周三在瑞士信贷第一波士顿组织的会议上表示:“面对软件行业的开源趋势,我们不该采取对抗态度,而是应该杀出一条自己的路,使其为我们谋利。”
此外,《华尔街日报》引用业内人士的观点指出,收购开放源代码公司还有助于为甲骨文增加营业收入。

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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