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📄 Contents

  1. Sams Teach Yourself SQL in 24 Hours, Third Edition
  2. Table of Contents
  3. Copyright
  4. About the Authors
  5. Acknowledgments
  6. Tell Us What You Think!
  7. Introduction
  8. Part I: A SQL Concepts Overview
  9. Hour 1. Welcome to the World of SQL
  10. SQL Definition and History
  11. SQL Sessions
  12. Types of SQL Commands
  13. An Introduction to the Database Used in This Book
  14. Summary
  15. Q&A
  16. Workshop
  17. Part II: Building Your Database
  18. Hour 2. Defining Data Structures
  19. What Is Data?
  20. Basic Data Types
  21. Summary
  22. Q&A
  23. Workshop
  24. Hour 3. Managing Database Objects
  25. What Are Database Objects?
  26. What Is a Schema?
  27. A Table: The Primary Storage for Data
  28. Integrity Constraints
  29. Summary
  30. Q&A
  31. Workshop
  32. Hour 4. The Normalization Process
  33. Normalizing a Database
  34. Summary
  35. Q&A
  36. Workshop
  37. Hour 5. Manipulating Data
  38. Overview of Data Manipulation
  39. Populating Tables with New Data
  40. Updating Existing Data
  41. Deleting Data from Tables
  42. Summary
  43. Q&A
  44. Workshop
  45. Hour 6. Managing Database Transactions
  46. What Is a Transaction?
  47. What Is Transactional Control?
  48. Transactional Control and Database Performance
  49. Summary
  50. Q&A
  51. Workshop
  52. Part III: Getting Effective Results from Queries
  53. Hour 7. Introduction to the Database Query
  54. What Is a Query?
  55. Introduction to the <tt>SELECT</tt> Statement
  56. Examples of Simple Queries
  57. Summary
  58. Q&amp;A
  59. Workshop
  60. Hour 8. Using Operators to Categorize Data
  61. What Is an Operator in SQL?
  62. Comparison Operators
  63. Logical Operators
  64. Conjunctive Operators
  65. Negating Conditions with the <tt>NOT</tt> Operator
  66. Arithmetic Operators
  67. Summary
  68. Q&amp;A
  69. Workshop
  70. Hour 9. Summarizing Data Results from a Query
  71. What Are Aggregate Functions?
  72. Summary
  73. Q&amp;A
  74. Workshop
  75. Hour 10. Sorting and Grouping Data
  76. Why Group Data?
  77. The <tt>GROUP BY</tt> Clause
  78. <tt>GROUP BY</tt> Versus <tt>ORDER BY</tt>
  79. The <tt>HAVING</tt> Clause
  80. Summary
  81. Q&amp;A
  82. Workshop
  83. Hour 11. Restructuring the Appearance of Data
  84. The Concepts of ANSI Character Functions
  85. Various Common Character Functions
  86. Miscellaneous Character Functions
  87. Mathematical Functions
  88. Conversion Functions
  89. The Concept of Combining Character Functions
  90. Summary
  91. Q&amp;A
  92. Workshop
  93. Hour 12. Understanding Dates and Times
  94. How Is a Date Stored?
  95. Date Functions
  96. Date Conversions
  97. Summary
  98. Q&amp;A
  99. Workshop
  100. Part IV: Building Sophisticated Database Queries
  101. Hour 13. Joining Tables in Queries
  102. Selecting Data from Multiple Tables
  103. Types of Joins
  104. Join Considerations
  105. Summary
  106. Q&amp;A
  107. Workshop
  108. Hour 14. Using Subqueries to Define Unknown Data
  109. What Is a Subquery?
  110. Embedding a Subquery Within a Subquery
  111. Summary
  112. Q&A
  113. Workshop
  114. Hour 15. Combining Multiple Queries into One
  115. Single Queries Versus Compound Queries
  116. Why Would I Ever Want to Use a Compound Query?
  117. Compound Query Operators
  118. Using an <tt>ORDER BY</tt> with a Compound Query
  119. Using <tt>GROUP BY</tt> with a Compound Query
  120. Retrieving Accurate Data
  121. Summary
  122. Workshop
  123. Q&amp;A
  124. Part V: SQL Performance Tuning
  125. Hour 16. Using Indexes to Improve Performance
  126. What Is an Index?
  127. How Do Indexes Work?
  128. The <tt>CREATE INDEX</tt> Command
  129. Types of Indexes
  130. When Should Indexes Be Considered?
  131. When Should Indexes Be Avoided?
  132. Summary
  133. Q&amp;A
  134. Workshop
  135. Hour 17. Improving Database Performance
  136. What Is SQL Statement Tuning?
  137. Database Tuning Versus SQL Tuning
  138. Formatting Your SQL Statement
  139. Full Table Scans
  140. Other Performance Considerations
  141. Performance Tools
  142. Summary
  143. Q&amp;A
  144. Workshop
  145. Part VI: Using SQL to Manage Users and Security
  146. Hour 18. Managing Database Users
  147. Users Are the Reason
  148. The Management Process
  149. Tools Utilized by Database Users
  150. Summary
  151. Q&amp;A
  152. Workshop
  153. Hour 19. Managing Database Security
  154. What Is Database Security?
  155. How Does Security Differ from User Management?
  156. What Are Privileges?
  157. Controlling User Access
  158. Controlling Privileges Through Roles
  159. Summary
  160. Q&amp;A
  161. Workshop
  162. Part VII: Summarized Data Structures
  163. Hour 20. Creating and Using Views and Synonyms
  164. What Is a View?
  165. Creating Views
  166. Dropping a View
  167. What Is a Synonym?
  168. Summary
  169. Q&amp;A
  170. Workshop
  171. Hour 21. Working with the System Catalog
  172. What Is the System Catalog?
  173. How Is the System Catalog Created?
  174. What Is Contained in the System Catalog?
  175. Examples of System Catalog Tables by Implementation
  176. Querying the System Catalog
  177. Updating System Catalog Objects
  178. Summary
  179. Q&amp;A
  180. Workshop
  181. Part VIII: Applying SQL Fundamentals in Today's World
  182. Hour 22. Advanced SQL Topics
  183. Advanced Topics
  184. Cursors
  185. Stored Procedures and Functions
  186. Triggers
  187. Dynamic SQL
  188. Call-Level Interface
  189. Using SQL to Generate SQL
  190. Direct Versus Embedded SQL
  191. Summary
  192. Q&amp;A
  193. Workshop
  194. Hour 23. Extending SQL to the Enterprise, the Internet, and the Intranet
  195. SQL and the Enterprise
  196. Accessing a Remote Database
  197. Accessing a Remote Database Through a Web Interface
  198. SQL and the Internet
  199. SQL and the Intranet
  200. Summary
  201. Q&amp;A
  202. Workshop
  203. Hour 24. Extensions to Standard SQL
  204. Various Implementations
  205. Examples of Extensions from Some Implementations
  206. Interactive SQL Statements
  207. Summary
  208. Q&amp;A
  209. Workshop
  210. Part IX: Appendixes
  211. Appendix A. Common SQL Commands
  212. SQL Statements
  213. SQL Clauses
  214. Appendix B. Using MySQL for Exercises
  215. Windows Installation Instructions
  216. Linux Installation Instructions
  217. Appendix C. Answers to Quizzes and Exercises
  218. Hour 1, "Welcome to the World of SQL"
  219. Hour 2, "Defining Data Structures"
  220. Hour 3, "Managing Database Objects"
  221. Hour 4, "The Normalization Process"
  222. Hour 5, "Manipulating Data"
  223. Hour 6, "Managing Database Transactions"
  224. Hour 7, "Introduction to the Database Query"
  225. Hour 8, "Using Operators to Categorize Data"
  226. Hour 9, "Summarizing Data Results from a Query"
  227. Hour 10, "Sorting and Grouping Data"
  228. Hour 11, "Restructuring the Appearance of Data"
  229. Hour 12, "Understanding Dates and Time"
  230. Hour 13, "Joining Tables in Queries"
  231. Hour 14, "Using Subqueries to Define Unknown Data"
  232. Hour 15, "Combining Multiple Queries into One"
  233. Hour 16, "Using Indexes to Improve Performance"
  234. Hour 17, "Improving Database Performance"
  235. Hour 18, "Managing Database Users"
  236. Hour 19, "Managing Database Security"
  237. Hour 20, "Creating and Using Views and Synonyms"
  238. Hour 21, "Working with the System Catalog"
  239. Hour 22, "Advanced SQL Topics"
  240. Hour 23, "Extending SQL to the Enterprise, the Internet, and the Intranet"
  241. Hour 24, "Extensions to Standard SQL"
  242. Appendix D. <tt>CREATE TABLE</tt> Statements for Book Examples
  243. <tt>EMPLOYEE_TBL</tt>
  244. <tt>EMPLOYEE_PAY_TBL</tt>
  245. <tt>CUSTOMER_TBL</tt>
  246. <tt>ORDERS_TBL</tt>
  247. <tt>PRODUCTS_TBL</tt>
  248. Appendix E. <tt>INSERT</tt> Statements for Data in Book Examples
  249. <tt>INSERT</tt> Statements
  250. Appendix F. Glossary
  251. Appendix G. Bonus Exercises
Recommended Book

Introduction

Who Should Read This Book?

Welcome to the world of relational databases and SQL! This book is written for those self-motivated individuals out there who would like to get an edge on relational database technology by learning the Structured Query LanguageSQL. This book was written primarily for those with very little or no experience with relational database management systems using SQL. This book also applies to those who have some experience with relational databases but need to learn how to navigate within the database, issue queries against the database, build database structures, manipulate data in the database, and more. This book is not geared toward individuals with significant relational database experience who have been using SQL on a regular basis.

What This Book Intends to Accomplish

This book was written for individuals with little or no experience using SQL or those who have used a relational database, but their tasks have been very limited within the realm of SQL. Keeping this thought in mind, it should be noted up front that this book is strictly a learning mechanism, and one in which we present the material from ground zero and provide examples and exercises with which to begin to apply the material covered. This book is not a complete SQL reference and should not be relied on as a sole reference of SQL. However, this book combined with a complete SQL command reference could serve as a complete solution source to all of your SQL needs.

What We Added to This Edition

This edition contains the same content and format as the first and second editions. We have been through the entire book, searching for the little things that could be improved to produce a better edition. We have also added concepts and commands from the new SQL standard, SQL3, to bring this book up to date, making it more complete and applicable to today's SQL user. The most important addition was the use of MySQL for hands-on exercises. By using an open source database such as MySQL, all readers have equal opportunity for participation in hands-on exercises.

What You Need

You may be wondering, what do I need to make this book work for me? Theoretically, you should be able to pick up this book, study the material for the current hour, study the examples, and either write out the exercises or run them on a relational database server. However, it would be to your benefit to have access to a relational database system to which to apply the material in each lesson. The relational database to which you have access is not a major factor because SQL is the standard language for all relational databases. Some database systems that you can use include Oracle, Sybase, Informix, Microsoft SQL Server, Microsoft Access, MySQL, and dBASE.

Conventions Used in This Book

For the most part, we have tried to keep conventions in this book as simple as possible.

Many new terms are identified and are printed in italics.

In the listings, all code that you type in (Input) appears in boldface monospace. Output appears in standard monospace.

SQL code and keywords have been placed in uppercase for your convenience and general consistency. For example:

SELECT * FROM PRODUCTS_TBL; 

PROD_ID    PROD_DESC                       COST
---------- ------------------------------------
11235      WITCHES COSTUME                29.99
222        PLASTIC PUMPKIN 18 INCH         7.75
13         FALSE PARAFFIN TEETH            1.1
90         LIGHTED LANTERNS               14.5
15         ASSORTED COSTUMES              10
9          CANDY CORN                      1.35
6          PUMPKIN CANDY                   1.45
87         PLASTIC SPIDERS                 1.05
119        ASSORTED MASKS                  4.95

9 rows selected.

The following special design features enhance the text:

There are syntax boxes to draw your attention to the syntax of the commands discussed during each hour.

SELECT [ ALL | * | DISTINCT COLUMN1, COLUMN2 ]
FROM TABLE [ , TABLE2 ];

ANSI SQL and Vendor Implementations

One thing that is difficult about writing a book like this on standard SQL is that although there is an ANSI standard for SQL, each database vendor has its own implementation of SQL. With each implementation come variations from the actual standard, enhancements to the standard, and even missing elements from the standard.

The expected question is, "Because there is an ANSI standard for SQL, what is so difficult about teaching standard SQL?" The answer to this question begins with the statement that ANSI SQL is just that: a standard. ANSI SQL is not an actual language. To teach you SQL, we had to come up with examples and exercises that involve using one or more implementations of SQL. Because each vendor has its own implementation with its own specifications for the language of SQL, these variations, if not handled properly in this book, could actually cause confusion concerning the syntax of various SQL commands. Therefore, we have tried to stay as close to the ANSI standard as possible, foremost discussing the ANSI standard and then showing examples from different implementations that are very close, if not the same, as the exact syntax that ANSI prescribes.

We have, however, accompanied examples of variations among implementations with notes for reminders and tips on what to watch out for. Just remember this: Each implementation differs slightly from other implementations. The most important thing is that you understand the underlying concepts of SQL and its commands. Although slight variations do exist, SQL is basically the same across the board and is very portable from database to database, regardless of the particular implementation.

Understanding the Examples and Exercises

We have chosen to use Oracle for most of the examples in this book due to its high compliance to the ANSI standard; however, we have also shown examples from MySQL, Sybase, Microsoft SQL Server, and dBASE. Oracle was also used the most due to the fact that Oracle is one of the most popular relational database products today.

The use of MySQL for hands-on exercises was chosen so that all readers may participate, with minimal confusion in converting SQL syntax into the proper syntax of the database each reader is using. MySQL was chosen for exercises because it is an open source database (free) and its syntax is very similar to that of Oracle SQL, which was the primary database used for book examples. MySQL can be obtained for free, and installed with ease. Additionally, MySQL is compatible with most operating system platforms. The trade-off of using an open source database such as MySQL is that it is not as powerful, and not as compliant to the ANSI SQL standard, as most implementations provided by vendors such as Oracle, Microsoft, and IBM. However, MySQL is an excellent database product for training and some production environments.

In Appendix B,we show you how to obtain and install MySQL. Once installed on your computer, MySQL can be used for most of the exercises in this book. Unfortunately, because MySQL is not fully ANSI SQL compliant, MySQL exercises are not available for every subject.

As stated, there are some differences in the exact syntax among implementations of SQL. For example, if you attempt to execute some examples in this book, you may have to make minor modifications to fit the exact syntax of the implementation that you are using. We have tried to keep all the examples compliant with the standard; however, we have intentionally shown you some examples that are not exactly compliant. The basic structure for all the commands is the same. To learn SQL, you have to start with an implementation using practical examples. For hands-on practice, we use MySQL. If you have access to another database implementation such as Oracle, we encourage its use for hands-on exercises. You should be able to emulate the database and examples used in this book without very much difficulty. Any adjustments that you may have to make to the examples in this book to fit your implementation exactly will only help you to better understand the syntax and features of your implementation.

Good luck!

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