Oracle公司的副总裁兼资深架构师、以领导开发了著名的创新技术ZFS而知名的Jeff Bonwick 9月27日在自己的博客中宣布,即将从Oracle辞职,转而参与创办一家创业公司,产品还在秘密开发中。 他在博客中深情回忆,作为Solaris团队一员,能够不断创新、改变陈规、
Oracle公司的副总裁兼资深架构师、以领导开发了著名的创新技术ZFS而知名的Jeff Bonwick 9月27日在自己的博客中宣布,即将从Oracle辞职,转而参与创办一家创业公司,产品还在秘密开发中。
他在博客中深情回忆,作为Solaris团队一员,能够不断创新、改变陈规、成为思想领导着——创造别人竞相模仿的思想。他还认为现在加上Oracle难以匹敌的市场能力与执行力,Solaris和ZFS存储将取得前所未有的成功。他还说,ZFS现在已经成年,虽然还有很多工作要做,但他将注视着社区来完成。为此,他引用了一句名言:放手你的思想,它会走得更远。
Bonwick表示,接下来自己将尝试的全新事物,想法还没有完全成熟,甚至自己还没有完全理解,超出了自己熟悉的领域,很可能会失败。但任何值得尝试的东西一开始都是如此。
据LinkedIn以及这里的信息,Jeff Bonwick 1987年毕业于特拉华大学数学专业,1990年获得斯坦福大学统计学硕士学位,随后进入Sun公司至今,效力20年,几乎一直在从事Solaris内核相关的开发,从普通工程师成长为Sun的杰出工程师、存储部门的CTO、Sun副总裁,并获得Fellow荣誉。在Oracle收购Sun之后,他继续担任公司副总裁。
Bonwick在技术领域最值得称道的工作是1994年在排除Solaris 2.2内核一个错误时提出的Slab分配器算法(参考他的回忆文章),和2001年他启动并领导开发的新一代文件系统和逻辑卷管理器ZFS(回忆文章)。如今,这两项创新都已经在Linux、FreeBSD等操作系统中得到广泛应用(Appple曾经试图在Mac上实现ZFS,但不知原因地半途而废了)。
ZFS具有管理简单、支持事务性语义、端到端数据完整性和使用廉价硬件即可达到高伸缩性等优势。ZFS是一个128位的文件系统,因此容量惊人。这方面有很多趣闻,其中之一是,Bonwick在解释该系统为什么用128位时曾说,根据摩尔定律64位显然很快就会不够用,而要想用完128位文件系统的存储能力几乎是不可能的,因为所需能量超过将地球上的海洋加热到沸腾。(请在这里见识他一连串令人眼花缭乱的演算,呵呵,但愿我们人类没有接管整个宇宙的野心。)ZFS的名字来历也很有意思,参见这里。Bonwick 2007年在ACM Queue谈过文件系统的未来,推荐参考。
让我们祝福并继续关注Bonwick的下一个技术传奇。

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

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.


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