Database Modeling and Design

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A.3 Data Manipulation Language (DML) 219 A.3.1 SQL Select Command The SQL select command is the basis for all database queries. The following series of examples illustrates the syntax and semantics of the select command for the most frequent types of queries in everyday business applications. To illustrate each of the commands, we assume the following set of data in the database tables: customer table cust_num cust_name address credit_level 001 Kirk Enterprise 10 002 Spock Enterprise 9 003 Scotty Enterprise 8 004 Bones Enterprise 8 005 Gorn PlanetoidArena 1 006 Khan CetiAlphaFive 2 007 Uhura Enterprise 7 008 Chekov Enterprise 6 009 Sulu Enterprise 6 item table item_num item_name price weight 125 phaser 350 2 137 beam 1500 250 143 shield 4500 3000 175 fusionMissile 2750 500 211 captainsLog 50 2 234 starShip 25000 15000 356 sensor 245 15 368 intercom 1200 75 399 medicalKit 75 3 order table ord_num cust_num item_num quantity total_cost 10012 005 125 2 700 10023 006 175 20 55000 10042 003 137 3 4500 10058 001 211 1 50 10232 007 368 1 1200 10266 002 356 50 12250 10371 004 399 10 750 11070 009 143 1 4500 11593 008 125 2 700 11775 006 125 3 1050 12001 001 234 1 25000
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Database Modeling & Design Fourth E
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Joe Celko’s Data and Databases: C
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Publishing Director Michael Forster
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Contents Preface xv Chapter 1 Intro
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Contents xi 4.4.4 Merging and Restr
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Contents xiii Chapter 9 CASE Tools
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2 CHAPTER 1 Introduction In this ch
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4 CHAPTER 1 Introduction Informatio
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6 CHAPTER 1 Introduction II(b)], tw
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8 CHAPTER 1 Introduction tional rel
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10 CHAPTER 1 Introduction Customer
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2 The Entity-Relationship Model T h
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2.1 Fundamental ER Constructs 15 at
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2.1 Fundamental ER Constructs 17 Co
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2.1 Fundamental ER Constructs 19 12
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2.1 Fundamental ER Constructs 21 us
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2.2 Advanced ER Constructs 23 2.2 A
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2.2 Advanced ER Constructs 25 Softw
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2.2 Advanced ER Constructs 27 Proje
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2.2 Advanced ER Constructs 29 entit
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2.4 Literature Summary 31 2.4 Liter
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34 CHAPTER 3 The Unified Modeling L
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4 Requirements Analysis and Concept
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4.3 Conceptual Data Modeling 55 •
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4.3 Conceptual Data Modeling 57 inc
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4.3 Conceptual Data Modeling 59 Emp
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4.3 Conceptual Data Modeling 61 con
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4.3 Conceptual Data Modeling 63 Emp
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4.3 Conceptual Data Modeling 65 Div
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4.4 View Integration 67 Customer 1
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4.4 View Integration 69 nectivity c
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4.4 View Integration 71 Publication
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4.4 View Integration 73 N Publicati
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4.5 Entity Clustering for ER Models
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4.6 Summary 81 Department Division/
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5 Transforming the Conceptual Data
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5.1 Transformation Rules and SQL Co
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5.2 Transformation Steps 103 there
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5.2 Transformation Steps 105 5.2.3
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6 Normalization T his chapter focus
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6.1 Fundamentals of Normalization 1
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6.2 The Design of Normalized Tables
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6.3 Normalization of Candidate Tabl
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6.3 Normalization of Candidate Tabl
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6.4 Determining the Minimum Set of
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6.4 Determining the Minimum Set of
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6.5 Fourth and Fifth Normal Forms 1
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6.6 Summary 137 Table 6.8 Summary o
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7 An Example of Logical Database De
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7.2 Logical Design 141 7.2 Logical
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7.2 Logical Design 143 create table
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7.3 Summary 145 Table 7.3 Decomposi
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148 CHAPTER 8 Business Intelligence
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188 CHAPTER 9 CASE Tools for Logica
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Page 452: Appendix The Basics of SQL Structur
Page 456: A.2 Data Definition Language (DDL)
Page 460: A.2 Data Definition Language (DDL)
Page 466: 220 Appendix: The Basics of SQL Bas
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Page 474: 224 Appendix: The Basics of SQL sel
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Page 482: 228 Appendix: The Basics of SQL del
Page 488: Glossary activity diagram (UML)—A
Page 492: Glossary 233 database administrator
Page 496: Glossary 235 functional dependency
Page 500: Glossary 237 requirements specifica
Page 504: References Ambler, S. Agile Databas
Page 508: References 241 Cobb, R. E., Fry, J.
Page 512: References 243 Jajodia, S., and Ng,
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References 245 Sakai, H. “Entity-
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References 247 Zachmann, J. A. “A
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250 Exercises Assertions: • An in
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252 Exercises Transformation of the
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254 Exercises reservation_no -> dep
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256 Exercises 1. ABCD -> EFGHIJK 8.
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258 Exercises base schema. You shou
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260 Solutions to Selected Exercises
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262 Solutions to Selected Exercises
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264 About the Authors Tom Nadeau is
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266 Index Attributes (cont’d.) da
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268 Index Data manipulation languag
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270 Index Generalization, 23 comple
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272 Index Primary FDs (cont’d.) f
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274 Index Ternary relationships (co
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