《资料库系统实现(英文版第2版)》是关于资料库系统实现方面内容最为全面的着作之一，是美国史丹福大学计算机科学专业资料库系列课程第二门课程的指定教材。
基本介绍
- 中文名：资料库系统实现(英文版第2版)
- 外文名：Database System Implementation
- 书名：经典原版书库：资料库系统实现
- 作者：加西亚－莫利纳
- 出版社：机械工业出版社
- 页数：1181页
- 开本：32
- 品牌：机械工业出版社
- 外文名：Database System Implementation
- 类型：计算机与网际网路
- 出版日期：2010年1月1日
- 语种：英语
- ISBN：9787111288602, 7111288602
内容简介
《资料库系统实现(英文版第2版)》是关于资料库系统实现方面内容最为全面的着作之一，是美国史丹福大学计算机科学专业资料库系列课程第二门课程的指定教材。书中从资料库实现者的角度对资料库系统实现原理进行了深入阐述。并具体讨论了资料库管理系统的三个主要成分——存储管理器、查询处理器和事务管理器的实现技术。史丹福大学计算机科学专业资料库系列课程第一门课程的内容包括资料库设计和资料库编程。《资料库系统实现(英文版第2版)》的后两位作者Jeffrey D.UIIman和Jennifer Widom为该课程编写的教材《资料库系统基础教程》（A First Course in Database Systems）第3版的中文翻译版和英文影印版已由机械工业出版社出版。《资料库系统实现(英文版第2版)》内容深入且全面，技术实用且先进，叙述深入浅出，是一本难得的高层次的教材，适合作为高等院校计算机专业研究生的教材或本科生的教学参考书，也适合作为从事相关研究或开发工作的专业技术人员的高级参考资料。
作者简介
作者：(美国)加西亚－莫利纳(Hector Garcia-Molina) (美国)Jeffrey D.Ullman (美国)Jennifer Widom
Hector Garcia-Molina，加西亚－莫利纳，史丹福大学计算机科学与电子工程系的Leonad Bosack和Sandra Lerner教授。他在资料库系统、分散式系统和数宇图书馆领域中发表了大量论文。研究兴趣包括分散式计算系统、资料库系统和数字图书馆。他是ACM会士、美国艺术与科学院会士和美国国家工程院成员。他在1 999年获得了ACM SIGMOD创新奖。
Jeffrey D，Ullman，史丹福大学计算机科学与电子工程系Stanford W，Ascherman教授，资料库技术专家。他独立或与人合作出版了15本着作，发表了170多篇技术论文，研究兴趣包括资料库理论、资料库集成、数据挖掘和利用信息基础设施进行教育。他是美国国家工程院成员。曾获得Knuth奖、SIGMOD贡献奖、Karlstrom杰出教育家奖和Edgar F，Codd发明奖。
Jennifer Widom，美国康奈尔大学计算机科学博士，现为史丹福大学计算机科学与电子工程系教授，研究兴趣包括半结构化数据的资料库系统和XML，数据仓库以及主动资料库系统。她是ACM会士、Guggenheim会士和美国国家工程院成员，并且是多个编辑委员会、程式委员会和顾问委员会的成员。她在2007年获得了ACM SlGMOD Edgar F，Codd发明奖。
Hector Garcia-Molina，加西亚－莫利纳，史丹福大学计算机科学与电子工程系的Leonad Bosack和Sandra Lerner教授。他在资料库系统、分散式系统和数宇图书馆领域中发表了大量论文。研究兴趣包括分散式计算系统、资料库系统和数字图书馆。他是ACM会士、美国艺术与科学院会士和美国国家工程院成员。他在1 999年获得了ACM SIGMOD创新奖。
Jeffrey D，Ullman，史丹福大学计算机科学与电子工程系Stanford W，Ascherman教授，资料库技术专家。他独立或与人合作出版了15本着作，发表了170多篇技术论文，研究兴趣包括资料库理论、资料库集成、数据挖掘和利用信息基础设施进行教育。他是美国国家工程院成员。曾获得Knuth奖、SIGMOD贡献奖、Karlstrom杰出教育家奖和Edgar F，Codd发明奖。
Jennifer Widom，美国康奈尔大学计算机科学博士，现为史丹福大学计算机科学与电子工程系教授，研究兴趣包括半结构化数据的资料库系统和XML，数据仓库以及主动资料库系统。她是ACM会士、Guggenheim会士和美国国家工程院成员，并且是多个编辑委员会、程式委员会和顾问委员会的成员。她在2007年获得了ACM SlGMOD Edgar F，Codd发明奖。
图书目录
1 The Worlds of Database Systems
1.1 The Evolution of Database Systems
1.1.1 Early Database Management Systems
1.1.2 Relational Database Systems
1.1.3 Smaller and Smaller Systems
1.1.4 Bigger and Bigger Systems
1.1.5 Information Integration
1.2 Overview of a Database Management System
1.2.1 Data-Definition Language Commands
1.2.2 Overview of Query Processing
1.2.3 Storage and Buffer Management
1.2.4 Transaction Processing
1.2.5 The Query Processor
1.3 Outline of Database-System Studies
1.4 References for Chapter 1
Ⅰ Relational Database Modeling
2 The Relational Model of Data
2.1 An Overview of Data Models
2.1.1 What is a Data Model?
2.1.2 Important Data Models
2.1.3 The Relational Model in Brief
2.1.4 The Semistructured Model in Brief
2.1.5 Other Data Models
2.1.6 Comparison of Modeling Approaches
2.2 Basics of the Relational Model
2.2.1 Attributes
2.2.2 Schemas
2.2.3 Tuples
2.2.4 Domains
2.2.5 Equivalent Representations of a Relation
2.2.6 Relation Instances
2.2.7 Keys of Relations
2.2.8 An Example Database Schema
2.2.9 Exercises for Section 2.2
2.3 Defining a Relation Schema in SQL
2.3.1 Relations in SQL
2.3.2 Data Types
2.3.3 Simple Table Declarations
2.3.4 Modifying Relation Schemas
2.3.5 Default Values
2.3.6 Declaring Keys
2.3.7 Exercises for Section 2.3
2.4 An Algebraic Query Language
2.4.1 Why Do We Need a Special Query Language?
2.4.2 What is an Algebra?
2.4.3 Overview of Relational Algebra
2.4.4 Set Operations on Relations
2.4.5 Projection
2.4.6 Selection
2.4.7 Cartesian Product
2.4.8 Natural Joins
2.4.9 Theta-Joins
2.4.10 Combining Operations to Form Queries
2.4.11 Naming and Renaming
2.4.12 Relationships Among Operations
2.4.13 A Linear Notation for Algebraic Expressions
2.4.14 Exercises for Section 2.4
2.5 Constraints on Relations
2.5.1 Relational Algebra as a Constraint Language
2.5.2 Referential Integrity Constraints
2.5.3 Key Constraints
2.5.4 Additional Constraint Examples
2.5.5 Exercises for Section 2.5
2.6 Summary of Chapter 2
2.7 References for Chapter 2
3 Design Theory for Relational Databases
3.1 Functional Dependencies
3.1.1 Definition of Functional Dependency
3.1.2 Keys of Relations
3.1.3 Superkeys
3.1.4 Exercises for Section 3.1
3.2 Rules About Functional Dependencies
3.2.1 Reasoning About Functional Dependencies
3.2.2 The Splitting/Combining Rule
3.2.3 Trivial Functional Dependencies
3.2.4 Computing the Closure of Attributes
3.2.5 Why the Closure Algorithm Works
3.2.6 The Transitive Rule
3.2.7 Closing Sets of Functional Dependencies
3.2.8 Projecting Functional Dependencies
3.2.9 Exercises for Section 3.2
3.3 Design of Relational Database Schemas
3.3.1 Anomalies
3.3.2 Decomposing Relations
3.3.3 Boyce-Codd Normal Form
3.3.4 Decomposition into BCNF
3.3.5 Exercises for Section 3.3
3.4 Decomposition: The Good, Bad, and Ugly
3.4.1 Recovering Information from a Decomposition
3.4.2 The Chase Test for Lossless Join
3.4.3 Why the Chase Works
3.4.4 Dependency Preservation
3.4.5 Exercises for Section 3.4
3.5 Third Normal Form
3.5.1 Definition of Third Normal Form
3.5.2 The Synthesis Algorithm for 3NF Schemas
3.5.3 Why the 3NF Synthesis Algorithm Works
3.5.4 Exercises for Section 3.5
3.6 Multivalued Dependencies
3.6.1 Attribute Independence and Its Consequent Redundanc
3.6.2 Definition of Multivalued Dependencies
3.6.3 Reasoning About Multivalued Dependencies
3.6.4 Fourth Normal Form
3.6.5 Decomposition into Fourth Normal Form
3.6.6 Relationships Among Normal Forms
3.6.7 Exercises for Section 3.6
3.7 An Algorithm for Discovering MVD's
3.7.1 The Closure and the Chase
3.7.2 Extending the Chase to MVD's
3.7.3 Why the Chase Works for MVD's
3.7.4 Projecting MVD's
3.7.5 Exercises for Section 3.7
3.8 Summary of Chapter 3
3.9 References for Chapter 3
4 High-Level Database Models
4.1 The Entity/Relationship Model
4.1.1 Entity Sets
4.1.2 Attributes
4.1.3 Relationships
4.1.4 Entity-Relationship Diagrams
4.1.5 Instances of an E/R Diagram
4.1.6 Multiplicity of Binary E/R Relationships
4.1.7 Multiway Relationships
4.1.8 Roles in Relationships
4.1.9 Attributes on Relationships
4.1.10 Converting Multiway Relationships to Binary
4.1.11 Subclasses in the E/R Model
4.1.12 Exercises for Section 4.1
4.2 Design Principles
4.2.1 Faithfulness
4.2.2 Avoiding Redundancy
4.2.3 Simplicity Counts
4.2.4 Choosing the Right Relationships
4.2.5 Picking the Right Kind of Element
4.2.6 Exercises for Section 4.2
4.3 Constraints in the E/R Model
4.3.1 Keys in the E/R Model
4.3.2 Representing Keys in the E/R Model
4.3.3 Referential Integrity
4.3.4 Degree Constraints
4.3.5 Exercises for Section 4.3
4.4 Weak Entity Sets
4.4.1 Causes of Weak Entity Sets
4.4.2 Requirements for Weak Entity Sets
4.4.3 Weak Entity Set Notation
4.4.4 Exercises for Section 4.4
4.5 From E/R Diagrams to Relational Designs
4.5.1 From Entity Sets to Relations
4.5.2 From E/R Relationships to Relations
4.5.3 Combining Relations
4.5.4 Handling Weak Entity Sets
4.5.5 Exercises for Section 4.5
4.6 Converting Subclass Structures to Relations
4.6.1 E/R-Style Conversion
4.6.2 An Object-Oriented Approach
4.6.3 Using Null Values to Combine Relations
4.6.4 Comparison of Approaches
4.6.5 Exercises for Section 4.6
4.7 Unified Modeling Language
……
ⅡRelational Database Programming
Ⅲ Modeling and Programming for Semistructured Data
Ⅳ Database System Implementation
1.1 The Evolution of Database Systems
1.1.1 Early Database Management Systems
1.1.2 Relational Database Systems
1.1.3 Smaller and Smaller Systems
1.1.4 Bigger and Bigger Systems
1.1.5 Information Integration
1.2 Overview of a Database Management System
1.2.1 Data-Definition Language Commands
1.2.2 Overview of Query Processing
1.2.3 Storage and Buffer Management
1.2.4 Transaction Processing
1.2.5 The Query Processor
1.3 Outline of Database-System Studies
1.4 References for Chapter 1
Ⅰ Relational Database Modeling
2 The Relational Model of Data
2.1 An Overview of Data Models
2.1.1 What is a Data Model?
2.1.2 Important Data Models
2.1.3 The Relational Model in Brief
2.1.4 The Semistructured Model in Brief
2.1.5 Other Data Models
2.1.6 Comparison of Modeling Approaches
2.2 Basics of the Relational Model
2.2.1 Attributes
2.2.2 Schemas
2.2.3 Tuples
2.2.4 Domains
2.2.5 Equivalent Representations of a Relation
2.2.6 Relation Instances
2.2.7 Keys of Relations
2.2.8 An Example Database Schema
2.2.9 Exercises for Section 2.2
2.3 Defining a Relation Schema in SQL
2.3.1 Relations in SQL
2.3.2 Data Types
2.3.3 Simple Table Declarations
2.3.4 Modifying Relation Schemas
2.3.5 Default Values
2.3.6 Declaring Keys
2.3.7 Exercises for Section 2.3
2.4 An Algebraic Query Language
2.4.1 Why Do We Need a Special Query Language?
2.4.2 What is an Algebra?
2.4.3 Overview of Relational Algebra
2.4.4 Set Operations on Relations
2.4.5 Projection
2.4.6 Selection
2.4.7 Cartesian Product
2.4.8 Natural Joins
2.4.9 Theta-Joins
2.4.10 Combining Operations to Form Queries
2.4.11 Naming and Renaming
2.4.12 Relationships Among Operations
2.4.13 A Linear Notation for Algebraic Expressions
2.4.14 Exercises for Section 2.4
2.5 Constraints on Relations
2.5.1 Relational Algebra as a Constraint Language
2.5.2 Referential Integrity Constraints
2.5.3 Key Constraints
2.5.4 Additional Constraint Examples
2.5.5 Exercises for Section 2.5
2.6 Summary of Chapter 2
2.7 References for Chapter 2
3 Design Theory for Relational Databases
3.1 Functional Dependencies
3.1.1 Definition of Functional Dependency
3.1.2 Keys of Relations
3.1.3 Superkeys
3.1.4 Exercises for Section 3.1
3.2 Rules About Functional Dependencies
3.2.1 Reasoning About Functional Dependencies
3.2.2 The Splitting/Combining Rule
3.2.3 Trivial Functional Dependencies
3.2.4 Computing the Closure of Attributes
3.2.5 Why the Closure Algorithm Works
3.2.6 The Transitive Rule
3.2.7 Closing Sets of Functional Dependencies
3.2.8 Projecting Functional Dependencies
3.2.9 Exercises for Section 3.2
3.3 Design of Relational Database Schemas
3.3.1 Anomalies
3.3.2 Decomposing Relations
3.3.3 Boyce-Codd Normal Form
3.3.4 Decomposition into BCNF
3.3.5 Exercises for Section 3.3
3.4 Decomposition: The Good, Bad, and Ugly
3.4.1 Recovering Information from a Decomposition
3.4.2 The Chase Test for Lossless Join
3.4.3 Why the Chase Works
3.4.4 Dependency Preservation
3.4.5 Exercises for Section 3.4
3.5 Third Normal Form
3.5.1 Definition of Third Normal Form
3.5.2 The Synthesis Algorithm for 3NF Schemas
3.5.3 Why the 3NF Synthesis Algorithm Works
3.5.4 Exercises for Section 3.5
3.6 Multivalued Dependencies
3.6.1 Attribute Independence and Its Consequent Redundanc
3.6.2 Definition of Multivalued Dependencies
3.6.3 Reasoning About Multivalued Dependencies
3.6.4 Fourth Normal Form
3.6.5 Decomposition into Fourth Normal Form
3.6.6 Relationships Among Normal Forms
3.6.7 Exercises for Section 3.6
3.7 An Algorithm for Discovering MVD's
3.7.1 The Closure and the Chase
3.7.2 Extending the Chase to MVD's
3.7.3 Why the Chase Works for MVD's
3.7.4 Projecting MVD's
3.7.5 Exercises for Section 3.7
3.8 Summary of Chapter 3
3.9 References for Chapter 3
4 High-Level Database Models
4.1 The Entity/Relationship Model
4.1.1 Entity Sets
4.1.2 Attributes
4.1.3 Relationships
4.1.4 Entity-Relationship Diagrams
4.1.5 Instances of an E/R Diagram
4.1.6 Multiplicity of Binary E/R Relationships
4.1.7 Multiway Relationships
4.1.8 Roles in Relationships
4.1.9 Attributes on Relationships
4.1.10 Converting Multiway Relationships to Binary
4.1.11 Subclasses in the E/R Model
4.1.12 Exercises for Section 4.1
4.2 Design Principles
4.2.1 Faithfulness
4.2.2 Avoiding Redundancy
4.2.3 Simplicity Counts
4.2.4 Choosing the Right Relationships
4.2.5 Picking the Right Kind of Element
4.2.6 Exercises for Section 4.2
4.3 Constraints in the E/R Model
4.3.1 Keys in the E/R Model
4.3.2 Representing Keys in the E/R Model
4.3.3 Referential Integrity
4.3.4 Degree Constraints
4.3.5 Exercises for Section 4.3
4.4 Weak Entity Sets
4.4.1 Causes of Weak Entity Sets
4.4.2 Requirements for Weak Entity Sets
4.4.3 Weak Entity Set Notation
4.4.4 Exercises for Section 4.4
4.5 From E/R Diagrams to Relational Designs
4.5.1 From Entity Sets to Relations
4.5.2 From E/R Relationships to Relations
4.5.3 Combining Relations
4.5.4 Handling Weak Entity Sets
4.5.5 Exercises for Section 4.5
4.6 Converting Subclass Structures to Relations
4.6.1 E/R-Style Conversion
4.6.2 An Object-Oriented Approach
4.6.3 Using Null Values to Combine Relations
4.6.4 Comparison of Approaches
4.6.5 Exercises for Section 4.6
4.7 Unified Modeling Language
……
ⅡRelational Database Programming
Ⅲ Modeling and Programming for Semistructured Data
Ⅳ Database System Implementation
序言
This book covers the core of the material taught in the database sequence at Stanford. The introductory course, CS145, uses the first twelve chapters, and is designed for all students -those who want to use database systems as well as those who want to get involved in database implementation. The second course, CS245 on database implementation, covers most of the rest of the book. However, some material is covered in more detail in special topics courses. These include CS346 （implementation project）, which concentrates on query optimization as in Chapters 15 and 16. Also, CS345A, on data mining and Web mining, covers the material in the last two chapters.
What's New in the Second Edition After a brief introduction in Chapter 1, we cover relational modeling in Chapters 2-4. Chapter 4 is devoted to high-level modeling. There, in addition to the E/R model, we now cover UML （Unified Modeling Language）. We also have moved to Chapter 4 a shorter version of the material on ODL, treating it as a design language for relational database schemas.
The material on functional and multivalued dependencies has been mod- ified and remains in Chapter 3. We have changed our viewpoint, so that a functional dependency is assumed to have a set of attributes on the right. We have also given explicitly certain algorithms, including the "chase," that allow us to manipulate dependencies. We have augmented our discussion of third normal form to include the 3NF synthesis algorithm and to make clear what the tradeoff between 3NF and BCNF is.
Chapter 5 contains the coverage of relational algebra from the previous edition, and is joined by （part of） the treatment of Dataiog from the old Chap- ter 10. The discussion of recursion in Datalog is either moved to the book's Web site or combined with the treatment of recursive SQL in Chapter 10 of this edition.
Chapters 6-10 are devoted to aspects of SQL programming, and they repre- sent a reorganization and augmentation of the earlier book's Chapters 6, 7, 8, and parts of 10. The material on views and indexes has been moved to its own chapter.
What's New in the Second Edition After a brief introduction in Chapter 1, we cover relational modeling in Chapters 2-4. Chapter 4 is devoted to high-level modeling. There, in addition to the E/R model, we now cover UML （Unified Modeling Language）. We also have moved to Chapter 4 a shorter version of the material on ODL, treating it as a design language for relational database schemas.
The material on functional and multivalued dependencies has been mod- ified and remains in Chapter 3. We have changed our viewpoint, so that a functional dependency is assumed to have a set of attributes on the right. We have also given explicitly certain algorithms, including the "chase," that allow us to manipulate dependencies. We have augmented our discussion of third normal form to include the 3NF synthesis algorithm and to make clear what the tradeoff between 3NF and BCNF is.
Chapter 5 contains the coverage of relational algebra from the previous edition, and is joined by （part of） the treatment of Dataiog from the old Chap- ter 10. The discussion of recursion in Datalog is either moved to the book's Web site or combined with the treatment of recursive SQL in Chapter 10 of this edition.
Chapters 6-10 are devoted to aspects of SQL programming, and they repre- sent a reorganization and augmentation of the earlier book's Chapters 6, 7, 8, and parts of 10. The material on views and indexes has been moved to its own chapter.