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數據庫系統(tǒng)實現(英文版第2版)

數據庫系統(tǒng)實現(英文版第2版)

定 價:¥55.00

作 者: (美)加西亞-莫利納 等著
出版社: 機械工業(yè)出版社
叢編項: 經典原版書庫
標 簽: 數據庫理論

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ISBN: 9787111288602 出版時間: 2010-01-01 包裝: 平裝
開本: 32開 頁數: 1181 字數:  

內容簡介

  《數據庫系統(tǒng)實現(英文版)(第2版)》是關于數據庫系統(tǒng)實現方面內容最為全面的著作之一,是美國斯坦福大學計算機科學專業(yè)數據庫系列課程第二門課程的指定教材。書中從數據庫實現者的角度對數據庫系統(tǒng)實現原理進行了深入闡述。并具體討論了數據庫管理系統(tǒng)的三個主要成分——存儲管理器、查詢處理器和事務管理器的實現技術。斯坦福大學計算機科學專業(yè)數據庫系列課程第一門課程的內容包括數據庫設計和數據庫編程?!稊祿煜到y(tǒng)實現(英文版)(第2版)》的后兩位作者Jeffrey D.UIIman和Jennifer Widom為該課程編寫的教材《數據庫系統(tǒng)基礎教程》(A First Course in Database Systems)第3版的中文翻譯版和英文影印版已由機械工業(yè)出版社出版?!稊祿煜到y(tǒng)實現(英文版)(第2版)》內容深入且全面,技術實用且先進,敘述深入淺出,是一本難得的高層次的教材,適合作為高等院校計算機專業(yè)研究生的教材或本科生的教學參考書,也適合作為從事相關研究或開發(fā)工作的專業(yè)技術人員的高級參考資料。

作者簡介

  Hector Garcia-Molina,加西亞-莫利納,斯坦福大學計算機科學與電子工程系的Leonad Bosack和Sandra Lerner教授。他在數據庫系統(tǒng)、分布式系統(tǒng)和數宇圖書館領域中發(fā)表了大量論文。研究興趣包括分布式計算系統(tǒng)、數據庫系統(tǒng)和數字圖書館。他是ACM會士、美國藝術與科學院會士和美國國家工程院成員。他在1 999年獲得了ACM SIGMOD創(chuàng)新獎。Jeffrey D,Ullman,斯坦福大學計算機科學與電子工程系Stanford W,Ascherman教授,數據庫技術專家。他獨立或與人合作出版了15本著作,發(fā)表了170多篇技術論文,研究興趣包括數據庫理論、數據庫集成、數據挖掘和利用信息基礎設施進行教育。他是美國國家工程院成員。曾獲得Knuth獎、SIGMOD貢獻獎、Karlstrom杰出教育家獎和Edgar F,Codd發(fā)明獎。Jennifer Widom,美國康奈爾大學計算機科學博士,現為斯坦福大學計算機科學與電子工程系教授,研究興趣包括半結構化數據的數據庫系統(tǒng)和XML,數據倉庫以及主動數據庫系統(tǒng)。她是ACM會士、Guggenheim會士和美國國家工程院成員,并且是多個編輯委員會、程序委員會和顧問委員會的成員。她在2007年獲得了ACM SlGMOD Edgar F,Codd發(fā)明獎。

圖書目錄

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 MVDs
3.7.1 The Closure and the Chase
3.7.2 Extending the Chase to MVDs
3.7.3 Why the Chase Works for MVDs
3.7.4 Projecting MVDs
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

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