欢迎进入Oracle社区论坛,与200万技术人员互动交流 >>进入 要找牛新庄可不是很容易的事情,记者打通他手机的时候,传来的声音正是“不同的业务需要不同的数据库架构……”紧接着牛新庄对着手机急速补充了一句“不好意思,我正在广东一个数据库项目里,正在开
欢迎进入Oracle社区论坛,与200万技术人员互动交流 >>进入
要找牛新庄可不是很容易的事情,记者打通他手机的时候,传来的声音正是“不同的业务需要不同的数据库架构……”紧接着牛新庄对着手机急速补充了一句“不好意思,我正在广东一个数据库项目里,正在开一个会。”
记者等待了20分钟,终于等到牛新庄开会间隙,做了电话采访。电话那端的牛新庄语速非常快,思维活跃,回忆了他的数据库历程。
“空中飞”的数据库工程师
2002年底广东梅州农村信用社正在紧张地进行数据库系统上线,正在关键的时期缺少一个对数据库系统整体设计的工程师,让整个项目组有些犯愁。“我们想寻求一个数据库高手。”梅州农村信用社的数据库项目负责人当时非常着急。
2003年,牛新庄应邀来到梅州进入项目组,进行数据库结构调优,让这个最初整体结构设计尚有缺陷的项目划上了句号。
2003年交通银行总行在做数据大集中的时候,也是需要一个高级数据库工程师,能够对这个大型的数据库进行总体设计、调优。
交通银行总行的数据大集中项目组急招这么一位数据库“高手”,也是找到了牛新庄。
从2003年12月到2004年7月,牛新庄做了数据库优化语句、进行物理设计,以及和中间件的关联……规避了一些困难,交通银行总行顺利实现了数据大集中。
牛新庄的履历上密密麻麻是各个城市各个项目,记者初步整理了牛新庄最近的“行踪”:
2005年10月为鞍钢集团解决(MQ、CICS、DB2)系统规划、数据库设计、数据库备份、数据库安全、应用开发咨询和数据库性能调优等问题;
2005年12月为河北邮政做Oracle数据仓库做性能调优;
2005年12月31日为大连住房公积金解决DB2 HADR问题;
2006年2月为安徽移动经营分析系统(DB2)做数据仓库迁移;
2006年3月为中信银行解决银联2.0上线DB2程序问题,总行绩效考核DB2数据库做迁移;
2006年4月为河南建行Informix数据库做性能调优;
2006年5月为云南交通银行做DB2数据库表空间迁移和性能调整。
牛新庄的全国各地奔波的历程从2001年就开始了,他作为独立咨询顾问往返于国内大中城市,在金融六大行(工、农、中、建、交、招)、青岛海尔、云南红塔、中远集团、宝钢等大型企业里成功进行过数据库设计、维护、问题诊断和性能调优。
“我从大学毕业开始接触数据库,硕士期间开始接触实际的项目,项目越做越多,数据库越看越多,企业的整体信息架构也尝试做起来,又舍得吃苦,这样积累就越来越多了。
2001年是一个转折,因为这年开始,我开始受到各地各单位的邀请,外出做数据库项目,开始成为独立咨询顾问。”牛新庄思路清晰,语速依旧很快。
和牛新庄不同,董国兴任职于清华紫光,作为高级工程师的他和公司一起经历了诸多大型项目。他们提供整体解决方案,从规划、搭建基础架构开始,到系统集成,以及后期的维护等等。
像牛新庄和董国兴这样经历了诸多大型项目的高级数据库工程师,在中国国内有多少呢?
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InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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