毕业论文外文翻译-MySQL数据库管理中心

Management Center of MySQL

Authors: Lauderdale, John

Tsang, Danny H. K.

Baciu, George

Issue Date: 2006

Citation: Proceedings of IEEE Visual '96, Melbourne, Australia, February 2006, p. 447-458

Database (sometimes spelled database) is also called an electronic database, referring to any collections of data, or information, that is specially organized for rapid search and retrieval by a computer. Databases are structured to facilitate the storage, retrieval, modification and deletion of data in conjunction with various data-processing operations. Database can be stored on magnetic disk or tape, optical disk, or some other secondary storage device.

A database consists of a file or a set of files. The information in the these files may be broken down into records, each of which consists of one or more fields are the basic units of data storage, and each field typically contains information pertaining to one aspect or attribute of the entity described by the database. Using keywords and various sorting commands, users can rapidly search, rearrange, group, and select the fields in many records to retrieve or create reports on particular aggregates of data.

Database records and files must be organized to allow retrieval of the information. Early system were arranged sequentially (i.e., alphabetically, numerically, or chronologically); the development of direct-access storage devices made possible random access to data via indexes. Queries are the main way users retrieve database information. Typically the user provides a string of characters, and the computer searches the database for a corresponding sequence and provides the source materials in which those characters appear. A user can request, for example, all records in which the content of the field for a pe rson’s last name is the word Smith.

In flat databases, records are organized according to a simple list of entities; many simple databases for personal computers are flat in structure. The records in hierarchical databases are organized in a treelike structure, with each level of records branching off into a set of smaller categories. Unlike hierarchical databases, which provide single links between sets of records at different levels, network databases create multiple linkages between sets by placing links, or pointers, to one set of records in another; the speed and versatility of network databases have led to their wide use in business. Relational databases are used where associations among files or records cannot be expressed by links; a simple flat list becomes one table, or “relation”, and multiple relations can be mathematically associated to yield

desired information. Object-oriented databases store and manipulate more complex data structures, called “objects”, which are organized into hierarchical cl asses that may inherit properties from classes higher in the chain; this database structure is the most flexible and adaptable.

The information in many databases consists of natural-language texts of documents; Small databases can be used by individuals at home. These and larger databases have become increasingly important in business life. Typical commercial applications include airline reservations, production management, medical records in hospitals, and legal records of insurance companies. The largest databases are usually maintained by governmental agencies, business organizations, and universities. These databases may contain texts of such materials as catalogs of various kinds. Reference databases contain bibliographies or indexes that serve as guides to the location of information in books, periodicals, and other published literature. Thousands of these publicly accessible databases now exist, covering topics ranging from law, medicine, and engineering to news and current events, games, classified advertisements, and instructional courses. Professionals such as scientists, doctors, lawyers, financial analysts, stockbrokers, and researchers of all types increasingly rely on these databases for quick, selective access to large volumes of information.

DBMS Structuring Techniques

Sequential, direct, and other file processing approaches are used to organize and structure data in single files. But a DBMS is able to integrate data elements from several files to answer specific user inquiries for information. That is, the DBMS is able to structure and tie together the logically related data from several large files.

Logical Structures. Identifying these logical relationships is a job of the data administrator. A data definition language is used for this purpose. The DBMS may then employ one of the following logical structuring techniques during storage, access, and retrieval operations.

List structures. In this logical approach, records are linked together by the use of pointers.

A pointer is a data item in one record that identifies the storage location of another logically related record. Records in a customer master file, for example, will contain the name and address of each customer, and each record in this file is identified by an account number. During an accounting period, a customer may buy a number of items on different days. Thus, the company may maintain an invoice file to reflect these transactions. A list structure could be used in this situation to show the unpaid invoices at any given time. Each record in the customer in the invoice file includes a field, it pointed to the location of the first invoice record in invoice file, this invoice record, in turn, would be linked to next invoices for the

customer. The last invoice in the chain would be identified by the use of a special character as a pointer.

Hierarchical (tree) structures. In this logical approach, data units are structured in multiple levels that graphically resemble an “upside down” tree with the root at the top and the branches formed b elow. There’s a superior-subordinate relationship in a hierarchical (tree) structure. Below the single-root data component are subordinate elements or nodes, in turn, each element or branch in this structure below the root has only a single owner. Thus, a customer owns an invoice, and the invoice has subordinate items. The branches in a tree structure are not connected.

Network Structures. Unlike the tree approach, which does not permit the connection of branches, the network structure permits the connection of the nodes in a multidirectional manner. Thus, each node may have several owners and may, in turn, own any number of other data units. Data management software permits the extraction of the needed information from such a structure by beginning with any record in a file.

Relational structures. A relational structure is made up of many tables. The data are stored in the form of “relations” in these tables. This is a relatively new database structuring approach that’s expected to be widely implemented in t he future.

Physical Structures. People visualize or structure data in logical ways for their own purposes. Thus, records R1 and R2 may always be logically linked and processed in sequence in one particular application. However, in a computer system it’s qu ite possible that these records that are logically contiguous in one application are not physically stored together. Rather, the physical structure of the records in media and hardware may depend not only on the I/O and storage devices and storage techniques used, but also on the different logical relationships that users may assign to the data found in R1 and R2. For example, R1 and R2 may be records of credit customers who have shipments send to the same block in the same city every 2 weeks. From the ship ping department manager’s perspective, then, R1 and R2 are sequential entries on a geographically organized shipping report. But in the A/R application, the customers represented by R1 and R2 may be identified, and their accounts may be processed, according to their account numbers which are widely separated. In short, then, the physical location of the stored records in many computer-based information systems is invisible to users.

Database Management Features of MySQL

MySQL includes many features that m ake the database easier to manage. We’ve divided the discussion in this section into three categories: MySQL Enterprise Manager, add-on packs, backup and recovery.

1. MySQL Enterprise Manager

As part of Database Server, MySQL provides the MySQL Enterprise Manager (EM), a database management tool framework with a graphical interface used to manage database users, instances, and features (such as replication) that can provide additional information about the MySQL environment.

Prior to the MySQL8i database, the EM software had to be installed on Windows 95/98 or NT-based systems and each repository could be accessed by only a single database manager at a time. Now you can use EM from a browser or load it onto Windows 95/98/2000 or NT-based systems. Multiple database administrators can access the EM repository at the same time. In the EM repository for MySQL9i, the super administrator can define services that should be displayed on other administrators’ consoles, and management regions can be set up.

2. Add-on packs

Several optional add-on packs are available for MySQL, as described in the following sections. In addition to these database-management packs, management packs are available for MySQL Applications and for SAP R/3.

(1)standard Management Pack

The Standard Management Pack for MySQL provides tools for the management of small MySQL databases (e.g., MySQL Server/Standard Edition). Features include support for performance monitoring of database contention, I/O, load, memory use and instance, session analysis, index tuning, and change investigation and tracking.

(2)Diagnostics Pack

You can use the Diagnostic Pack to monitor, diagnose, and maintain the health of Enterprise Edition databases, operating systems, and applications. With both historical and real-time analysis, it can automatically avoid problems before they occur. The pack also provides capacity planning features that help you plan and track future system-resource requirements.

(3)Tuning Pack

With the Tuning Pack, you can optimise system performance by identifying and tuning Enterprise Edition databases and application bottlenecks such as inefficient SQL, poor data design, and the improper use of system resources. The pack can proactively discover tuning opportunities and automatically generate the analysis and required changes to tune the systems.

(4)Change Management Pack

The Change Management Pack helps eliminate errors and avoid loss of data when

upgrading Enterprise Edition databases to support new applications. It can analysis impact and complex dependencies associated with application changes and automatically perform database upgrades. Users can use the easy-to-use wizards that teach the systematic steps necessary to upgrade.

(5)Availability

MySQL Enterprise Manager can be used for managing MySQL Standard Edition or Enterprise Edition. To Enterprise Edition, additional functionality is provided by separate Diagnostics, Tuning, and Change Management Packs.

3. Backup and Recovery

As every database administrator knows, backing up a database is a rather mundane but necessary task. An improper backup makes recovery difficult, if not impossible. Unfortunately, people often realize the extreme importance of this everyday task only when it is too late –usually after losing business-critical data due to a failure of a related system.

The following sections describe some products and techniques for performing database backup operations.

(1)Recovery Manager

Typical backups include complete database backups (the most common type), database backups, control file backups. Previously, MySQL’s Enterprise Backup Utility (EBU) provided a similar solution on some platforms. However, RMAN, with its Recovery Catalog stored in an MySQL database, provides a much more complete solution. RMAN can automatically locate, back up, restore, and recover databases, control files, and archived redo logs. RMAN for MySQL9i can restart backups and restores and implement recovery window policies when backups expire. The MySQL Enterprise Manager Backup Manager provides a GUI-based interface to RMAN.

(2)Incremental backup and recovery

RMAN can perform incremental backups of Enterprise Edition databases. Incremental backups back up only the blocks modified since the last backup of a datafile, tablespace, or database; thus, they’re smaller and faster than complete backups. RMAN can also perform point-in-time recovery, which allows the recovery of data until just prior to a undesirable event.

(3)Legato Storage Manager

Various media-management software vendors support RMAN. MySQL bundles Legato Storage Manager with MySQL to provide media-management services, including the tracking of tape volumes, for up to four devices. RMAN interfaces automatically with the media-management software to request the mounting of tapes as needed for backup and

recovery operations.

(4)Availability

While basic recovery facilities are available for both MySQL Standard Edition and Enterprise Edition, incremental backups have typically been limited to Enterprise Edition. Choosing between MySQL and SQL Server

I have to decide between using the MySQL database and its development system, Microsoft SQL Server with Visual Studio. This choice will guide our future Web projects. What are the strong points of each of these combinations and what are the negatives?

Lori: Making your decision will depend on what you already have. For instance, if you want to implement a Web-based database application and you are a Windows-only shop, SQL Server and the Visual Studio package would be fine. But the MySQL solution would be better with mixed platforms.

There are other things to consider, such as what extras you get and what skills are required. WebDB is a content management and development tool that can be used by content creators, database administrators, and developers without any programming experience. WebDB is a browser-based tool that helps ease content creation and provides monitoring and maintenance tools. This is a good solution for organizations already using MySQL. MySQL also scales better than SQL Server, but you will need to have a competent MySQL administrator on hand.

The SQL Sever/Visual Studio approach is more difficult to use and requires an experienced object-oriented programmer or some extensive training. However, you do get a fistful of development tools with Visual Studio: Visual Basic, Visual C++, and Visual InterDev for only $1,619. Plus, you will have to add the cost of the SQL Server, which will run you $1,999 for 10 clients or $3,999 for 25 clients-a less expensive solution than MySQL’s.

MySQL also has a package solution that starts at $6,767, depending on the platform selected. The https://www.wendangku.net/doc/7015307308.html, suite includes not only WebDB and MySQL8i but also other tools for development such as the MySQL application server, JDeveloper, and Workplace Templates, and the suite runs on more platforms than the Microsoft solution does. This can be a good solution if you are a start-up or a small to midsize business. Buying these tools in a package is less costly than purchasing them individually.

Much depends on your skill level, hardware resources, and budget. I hope this helps in your decision-making.

Brooks: I totally agree that this decision depends in large part on what infrastructure and expertise you already have. If the decision is hard, you need to figure out who’s going to be

doing the work and what your priorities are.

These two products have different approaches, and they reflect the different personalities of the two vendors. In general, MySQL products are designed for very professional development efforts by top-notch programmers and project leaders. The learning period is fairly long, and the solution is pricey; but if you stick it out you will ultimately have greater scalability and greater reliability.

If your project has tight deadlines and you don’t have the time or money to hire a team of very expensive, very experienced developers, you may find that the MySQL solution is an easy way to get yourself in trouble. There’s nothing worse than a poorly developed MySQL application.

What Microsoft offers is a solution that’s aimed at rapid development and low-cost implementation. The tools are cheaper, the servers you’ll run it on are cheaper, and the developers you need will be cheaper. Choosing SQL Sever and Visual Studio is an excellent way to start fast.

Of course, there are trade-offs. The key problem I have with Visual Studio and SQL Server is that you’ll be tied to Microsoft operating systems and Intel hardware. If the day comes when you need to support hundreds of thousands of users, you really don’t have anywhere to go other than buying hundreds of servers, which is a management nightmare.

If you go with the Microsoft approach, it sounds like you may not need more than Visual Interdev. If you already know that you’re going to be developing ActiveX components in Visual Basic or Visual C++, that’s warning sign that maybe you should look at the MySQL solution more closely.

MySQL数据库管理中心

数据库（有时拼成database）也称为电子数据库，是指由计算机特别组织的快速查找和检索的任意的数据或信息集合。数据库与其它数据处理操作协同工作，其结构要有助于数据的存储、检索、修改和删除。数据库可存储在磁盘或磁带、光盘或某些辅助存储设备上。

一个数据库由一个文件或文件集合组成。这些文件中的信息可分解成一个个记录，每个记录有一个或多个域。域是数据库存储的基本单位，每个域一般含有由数据库描述的属于实体的一个方面或一个特性的信息。用户使用关键字和各种排序命令，能够快速查找、重排、分组并在查找的许多记录中选择相应的域，获得或建立特定集上的报表。

数据库记录和文件的组织必须确保能对信息进行检索。早期的系统是顺序组织的（如:字母顺序、数字顺序或时间顺序）；直接访问存储设备的研制成功使得通过索引随机访问数据成为可能。用户检索数据库信息的主要方法是query（查询）。通常情况下，用户提供一个字符串，计算机在数据库中寻找相应的字符序列，并且给出字符串在何处出现。比如，用户可以请求所有姓的字段内容中带有Smith的全部记录。

在非结构化的数据库中，按照实体的一个简单列表组织记录；很多个人计算机的简易数据库是非结构的。层次型数据库按树型组织记录，每一层的记录分解成更小的属性集。层次型数据库在不同层的记录集之间提供一个单一链接。与此不同，网络型数据库在不同记录集之间提供多个链接，这是通过设置指向其它记录集的链或指针来实现的。网络型数据库的速度及多样性使其在企业中得到广泛应用。当文件或记录间的关系不能用链表达时，使用关系型数据库。一个表或一个“关系”，就是一个简单的非结构列表。多个关系可通过数学关系提供所需信息。面向对象的数据库存储并处理更复杂的称为对象的数据结构，可组织成有层次的类，其中的每个类可以继承层次链中更高一级类的特性，这种数据库结构最灵活，最具适应性。

很多数据库包含自然语言文本信息；小型的数据库可由个人在家中使用。小型及稍大的数据库在商业领域中占有越来越重要的地位。典型的商业应用包括航班预订、产品管理、医院的医疗记录以及保险公司的合法记录。最大型的数据库通常用于政府部门、企业、大专院校等。这些数据库存有诸如摘要、报表、成文的法规、通讯录、报纸、杂志、百科全书、各式目录等资料。索引数据库包含参考书目或用于找到相关书籍、期刊及其它参考文献的索引。目前有上万种可公开访问的数据库，内容包罗万象，从法律、医学、工程到新闻、时事、游戏、分类广告、指南等。科学家、医生、律师、财经分析师、股票经纪人等专家和各类研究者越来越依赖这些数据库，因为可以利用它从大量的信息中做快速的查找访问。

数据库管理系统的组织技术

顺序的、直接的以及其他的文件处理方式常用于单个文件中数据的组织和构造，而

DBMS可综合几个文件的数据项以回答用户对信息的查询，即DBMS能够将几个大文件夹中逻辑相关的数据组织并连接在一起。

逻辑结构。确定这些逻辑关系是数据管理者的任务，由数据定义语言完成。DBMS 在存储、访问和检索操作过程中可选用以下逻辑构造技术：

链表结构。在该逻辑方式中，记录通过指针链接在一起。指针是记录本中的一项数据项，它指出另一个逻辑相关的记录的存储位置，例如，顾客主文件中的记录将包含每个顾客的姓名和地址，而且该文件中的每个记录都由一个账号标识。在记账期间，顾客可在不同时间购买许多东西。公司保存一个发票文件以反映这些交易，这种情况下可使用链表结构，以显示给定时间内未支付的发票。顾客文件中的每个记录都包含这样一个字段，该字段指向发票文件中该顾客的第一个发票的记录位置，该发票记录又依次与该顾客的下一个发票记录相连，此链接的最后一个发票记录由一个作为指针的特殊字符标识。

层次（树型）结构。该逻辑方式中，数据单元的多级结构类似一棵“倒立”的树，该树的树根在顶部，而树枝向下延伸。在层次（树型）结构中存在主-从关系，惟一的根数据下是从属的元或节点，而每个元或树枝都只有一个所有者，这样，一个customer（顾客）拥有一个invoice（发票），而invoice（发票）又有从属项。在树型结构中，树枝不能相连。

网状结构。网状结构不像树型结构那样不允许树枝相连，它允许节点间多个方向连接，这样，每个节点都可能有几个所有者，而且它又可能拥有任意多个其他数据单元。数据管理软件允许从文件的任一记录开始提取该结构中的所需信息。

关系型结构。关系型结构由许多表格组成，数据则以“关系”的形式存储在这些表中。这是一个相当新颖的数据库组织技术，将来有望得到广泛应用。

物理结构。人们总是为了各自的目的，按逻辑方式设想或组织数据。因此，在一个具体应用中，记录R1和R2是逻辑相连且顺序处理的，但是，在计算机系统中，这些在一个应用中逻辑相邻的记录，物理位置完全可能不在一起。记录在介质和硬件中的物理结构不仅取决于所采用的I/O设备、存储设备及存储技术，而且还取决于用户定义的R1和R2中数据的逻辑关系。例如，R1和R2可能是持有信用卡的顾客记录，而顾客要求每两周将货物运送到同一个城市的同一个街区，而从运输部门的管理者看，R1和R2是按地理位置组织的运输记录的顺序项，但是在A/R应用中，可找到用R1R2表示的顾客，并且可根据其完全不同的账号处理他们的账目。简言之，在许多计算机化的信息记录中，存储记录的物理位置用户是看不见的。

MySQL的数据库管理功能

MySQL 包括许多使数据库易于管理的功能，分三部分讨论：MySQL 企业管理器、附加包、备份和恢复。

1．MySQL 企业管理器

作为数据库服务器的一部分，MySQL 包括以下部分：MySQL 企业管理器（IM）、一个带有图形接口的用于管理数据库用户、实例和提供MySQL 环境等附加信息功能（如：复制）的数据库管理工具框架。

在MySQL8i数据库之前，EM 软件必须安装在Windows95/98或者基于NT 的系统中，而且每个库每次只能由一个数据库管理者访问。如今你可以通过浏览器或者把EM 装入Window95/98/2000 或基于NT 的系统中来使用EM。多个数据库管理员可以同时访问EM库。在MySQL9i的EM版中，超级管理员可以定义在普通管理员的控制台上显示的服务，并能建立管理区域。

2．附加包

正如下面所描述的那样，MySQL可使用一些可选的附加包，除了这些管理包之外，还有用于MySQL应用程序和SAP R/3的管理包。

（1）标准管理包

MySQL的标准管理包提供了用于小型MySQL数据库的管理工具（如：MySQL服务器/标准版）。功能包括：对数据库连接性能、输入/输出、装载、内存使用和实例、对话分析、索引调整进行监控，并改变调查和跟踪。

（2）诊断包

利用诊断包，可以监控、诊断及维护企业版数据库、操作系统和应用程序的安全。用有关历史和实时的分析，可自动的在问题发生前将其消除。诊断包还提供空间管理功能，有助于对未来系统资源需要的计划和跟踪。

（3）调整包

利用调整包，可确定并调整企业版数据库和应用系统的瓶颈，如效率低的SQL、很差的数据设计、系统资源的不当使用，从而优化系统性能。调整包能提前发现调整时机，并自动生成分析和需求变化来调整系统。

（4）变化管理包

变化管理包在升级企业版数据库时帮助排错和避免丢失数据，以达到支持新的应用程序的目的。该包能分析与应用程序变动有关的影响和复杂依赖关系并自动升级数据库。用户可使用一种简单的向导按必要的步骤来升级。

（5）可用性

MySQL 企业管理器可用管理MySQL标准版或企业版。对于企业版，这些附加的功能由单独的诊断包、调整包和变化管理包提供。

3．备份和恢复

正如每个数据库管理者所熟知的，对数据库做备份是一件很普通但又必要的工作。一次不当的备份会使数据库难于恢复甚至不可恢复。不幸的是，人们往往在相关系统发生故障而丢失了重要的业务数据后才认识到这项日常工作的重要。

下面介绍一些实现数据库备份操作的产品技术。

外文翻译-数据库管理系统—剖析

Database Management System Source：Database and Network Journal Author：David Anderson You know that a data is a collection of logically related data elements that may be structured in various ways to meet the multiple processing and retrieval needs of orga nizations and individuals. There’s nothing new about data base-early ones were chiseled in stone, penned on scrolls, and written on index cards. But now database are commonly recorded on magnetically media, and computer programs are required to perform the necessary storage and retrieval operations. The system software package that handles the difficult tasks associated with created, accessing, and maintaining database records is in a DBMS package establish an interface between the database itself and the users of the database. (These users may be applications programmers, managers and others with information needs, and various OS programmers.) A DBMS can organize, process, and present selected data elements from the database. This capability enables decision makers to search. Probe, and query data contents in order to extract answers to nonrecurring and unplanned questions that aren’t available in regular reports. These questions might initially be vague and/or poorly defined, but people can “browse” through the database until they have the needed information. In short, the DBMS will “manage” the stored data items and assemble the needed items from the common database in response to the queries of those who aren’t programmers. In a file-oriented system, users needing special information may communicate their needs to a programmers, who, when time permits, will information. The availability of a DBMS, however, offers users a much faster alternative communications patch (see figure). Special, direct, and other file processing approaches ate used to organize and structure data in single files. But a DBMS is able to integrate data elements from several files to answer specific user inquiries fir information. This means that the DBMS is able to structure and tie together the logically related data from several large files. Logical structures. Identifying these logical relationships is a job of the data administrator. A data definition language is used for this purpose. The DBMS may

SQL数据库外文翻译--数据库的工作

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毕业论文外文翻译模版

吉林化工学院理学院 毕业论文外文翻译English Title（Times New Roman ，三号） 学生学号：08810219 学生姓名：袁庚文 专业班级：信息与计算科学0802 指导教师：赵瑛 职称副教授 起止日期：2012.2.27～2012.3.14 吉林化工学院 Jilin Institute of Chemical Technology

1 外文翻译的基本内容 应选择与本课题密切相关的外文文献（学术期刊网上的），译成中文，与原文装订在一起并独立成册。在毕业答辩前，同论文一起上交。译文字数不应少于3000个汉字。 2 书写规范 2.1 外文翻译的正文格式 正文版心设置为：上边距：3.5厘米，下边距：2.5厘米，左边距：3.5厘米，右边距：2厘米，页眉：2.5厘米，页脚：2厘米。 中文部分正文选用模板中的样式所定义的“正文”，每段落首行缩进2字；或者手动设置成每段落首行缩进2字，字体：宋体，字号：小四，行距：多倍行距1.3，间距：前段、后段均为0行。 这部分工作模板中已经自动设置为缺省值。 2.2标题格式 特别注意：各级标题的具体形式可参照外文原文确定。 1．第一级标题（如：第1章绪论）选用模板中的样式所定义的“标题1”，居左；或者手动设置成字体：黑体，居左，字号：三号，1.5倍行距，段后11磅，段前为11磅。 2．第二级标题（如：1.2 摘要与关键词）选用模板中的样式所定义的“标题2”，居左；或者手动设置成字体：黑体，居左，字号：四号，1.5倍行距，段后为0，段前0.5行。 3．第三级标题（如：1.2.1 摘要）选用模板中的样式所定义的“标题3”，居左；或者手动设置成字体：黑体，居左，字号：小四，1.5倍行距，段后为0，段前0.5行。 标题和后面文字之间空一格（半角）。 3 图表及公式等的格式说明 图表、公式、参考文献等的格式详见《吉林化工学院本科学生毕业设计说明书（论文）撰写规范及标准模版》中相关的说明。

企业人力资源管理系统分析与设计 外文翻译

Enterprise Human Resources Management System Design And Implementation Abstract: Human resource management system is the core content of modern enterprise management. With the rapid development of the computer information technology and unprecedented prevalence of electronic commerce mode，the competition between enterprises is turning from visible economic markets to the network. Developing the human resource management system supported by computer technology，network technology and information technology can not only improve the skill of human resource management and the efficiency of the enterprises but also make human resource management modern and decision sciencefic,Modern human resource management uses B/S mode to avoid C/S modes short coming of difficult in maintdning and reusing.According to the functional requirements of the actual project,this article specificly state the analysis of system,the general desigin of the system,the detail design of system and the practice of the system. The development of the system is the practice of MVC design ideas, maing using the Jsp+Servlet+JavaBean form of development.Jsp is the practice of MVC design ideas’view,in charge of receiving/responding the request of the customer.Servlet mainly responsible for the core business control of the whole system is the practice of the vontroller of MVC design idea to take charge of the statistics and rules of the whole system. In the practice of the system, somr open-source projrcts,such as the Ajax technique,JfreChart statements,fileupload technology,has been used. Using the modern human resource management theropy and analysising the actual situation, comparing the current situation of human resource management system, a huaman resource contents of management system basied on the Internet/Intranet has been designed. The main management,attendance management training more efficient statistics. Keywords:human resource management; B/S mode; Open-source projects; MVC mode. 摘要 人力资源管理系统是现代企业管理的核心内容。随着计算机信息技术的高速发展，电子商务模式的空前盛行，企业之间的竞争也从有形的经济市场转向了网络。开发以计算机技术、网络技术、信息技术支持的现代人力资源管理系统，既能提高企业人力资源管理的技术含量和企业的办事效率，也能使人力资源管理能够进入现代化、决策科学化的进程。现代人力资源管理系统采用了B/S模式，可以避免C/S模式的重用性差、维护难度高的缺点和