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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

SQL Definition and History

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Every business has data, which requires some organized method or mechanism for maintaining the data. This mechanism is referred to as a database management system (DBMS). Database management systems have been around for years, many of which started out as flat-file systems on a mainframe. With today's technologies, the accepted use of database management systems has begun to flow in other directions, driven by the demands of growing businesses, increased volumes of corporate data, and of course, Internet technologies.

The modern wave of information management is primarily carried out through the use of a relational database management system (RDBMS), derived from the traditional DBMS. Modern databases combined with client/server and Web technologies are typical combinations used by current businesses to successfully manage their data and stay competitive in their appropriate markets. The trend for many businesses is to move from a client/server environment to the Web, where location is not a restriction when users need access to important data. The next few sections discuss SQL and the relational database, the most common DBMS implemented today. A good fundamental understanding of the relational database, and how to apply SQL to managing data in today's information technology world, is important to your understanding of the SQL language.

What Is SQL?

SQL, Structured Query Language, is the standard language used to communicate with a relational database. The prototype was originally developed by IBM using Dr. E.F. Codd's paper ("A Relational Model of Data for Large Shared Data Banks") as a model. In 1979, not long after IBM's prototype, the first SQL product, ORACLE, was released by Relational Software, Incorporated (it was later renamed Oracle Corporation). It is, today, one of the distinguished leaders in relational database technologies. SQL is pronounced either of two ways: as the letters S-Q-L, or as "sequel"; both pronunciations are acceptable. However, most experienced SQL users tend to use the latter pronunciation.

If you travel to a foreign country, you may be required to know that country's language to get around. For example, you may have trouble ordering from a menu via your native tongue if the waiter speaks only his country's language. Look at a database as a foreign land in which you seek information. SQL is the language you use to express your needs to the database. Just as you would order a meal from a menu in another country, you can request specific information from within a database in the form of a query using SQL.

What Is ANSI SQL?

The American National Standards Institute (ANSI) is an organization that approves certain standards in many different industries. SQL has been deemed the standard language in relational database communication, originally approved in 1986 based on IBM's implementation. In 1987, the ANSI SQL standard was accepted as the international standard by the International Standards Organization (ISO). The standard was revised again in 1992 and was called SQL-92. The newest standard is now called SQL-99; it's also referred to as SQL3.

The New Standard: SQL-99

SQL-99 has five interrelated documents and other documents may be added in the near future. The five interrelated parts are as follows:

  • Part 1—SQL/Framework— Specifies the general requirements for conformance and defines the fundamental concepts of SQL.
  • Part 2—SQL/Foundation— Defines the syntax and operations of SQL.
  • Part 3—SQL/Call-Level Interface— Defines the interface for application programming to SQL.
  • Part 4—SQL/Persistent Stored Modules— Defines the control structures that then define SQL routines. Part 4 also defines the modules that contain SQL routines.
  • Part 5—SQL/Host Language Bindings— Defines how to embed SQL statements in application programs that are written in a standard programming language.

The new ANSI standard (SQL-99) has two levels of minimal compliance that a DBMS may claim: Core SQL Support and Enhanced SQL Support. A link to the ANSI SQL standard can be found by looking up this book's Web page on http://www.samspublishing.com/.

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ANSI stands for American National Standards Institute, an organization that is responsible for devising standards for various products and concepts.

With any standard comes numerous, obvious advantages, as well as some disadvantages. Foremost, a standard steers vendors in the appropriate industry direction for development. In the case of SQL, a standard provides a basic skeleton of necessary fundamentals, which as an end result, allows consistency between various implementations and better serves increased portability (not only for database programs, but databases in general and individuals who manage databases).

Some may argue that a standard is not so good, limiting the flexibility and possible capabilities of a particular implementation. However, most vendors who comply with the standard have added product-specific enhancements to standard SQL to fill in these gaps.

A standard is good, considering the advantages and disadvantages. The expected standard demands features that should be available in any complete SQL implementation and outlines basic concepts that not only force consistency between all competitive SQL implementations, but also increase the value of a SQL programmer.

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A SQL implementation is a particular vendor's SQL product, or relational database management system. It is important to note, as you will hear numerous times in this book, that implementations of SQL vary widely. There is no one implementation that follows the standard completely, although some are mostly ANSI-compliant.

What Is a Database?

In very simple terms, a database is a collection of data. Some like to think of a database as an organized mechanism that has the capability of storing information, through which a user can retrieve stored information in an effective and efficient manner.

People use databases every day without realizing it. A phone book is a database. The data contained consists of individuals' names, addresses, and telephone numbers. The listings are alphabetized or indexed, which allows the user to reference a particular local resident with ease. Ultimately, this data is stored in a database somewhere on a computer. After all, each page of a phone book is not manually typed each year a new edition is released.

The database has to be maintained. As people move to different cities or states, entries may have to be added or removed from the phone book. Likewise, entries will have to be modified for people changing names, addresses, or telephone numbers, and so on. Figure 1.1 illustrates a simple database.

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Figure 1.1 The database.

An Introduction to the Relational Database

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A relational database is a database divided into logical units called tables, where tables are related to one another within the database. A relational database allows data to be broken down into logical, smaller, manageable units, allowing for easier maintenance and providing more optimal database performance according to the level of organization. In Figure 1.2, you can see that tables are related to one another through a common key (data value) in a relational database.

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Figure 1.2 The relational database.

Again, tables are related in a relational database, allowing adequate data to be retrieved in a single query (although the desired data may exist in more than one table). By having common keys, or fields, among relational database tables, data from multiple tables can be joined to form one large result set. As you venture deeper into this book, you see more of a relational database's advantages, including overall performance and easy data access.

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A relational database is a database composed of related objects, primarily tables. A table is the most basic means of storage for data in a database.

An Introduction to Client/Server Technology

In the past, the computer industry was predominately ruled by mainframe computers; large, powerful systems capable of high storage capacity and high data processing capabilities. Users communicated with the mainframe through dumb terminals—terminals that did not think on their own, but relied solely on the mainframe's CPU, storage, and memory. Each terminal had a data line attached to the mainframe. The mainframe environment definitely served its purpose, and does today in many businesses, but a greater technology was soon to be introduced: the client/server model.

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In the client/server system, the main computer, called the server, is accessible from a network—typically a local area network (LAN) or a wide area network (WAN). The server is normally accessed by personal computers (PCs) or by other servers, instead of dumb terminals. Each PC, called a client, is provided access to the network, allowing communication between the client and the server, thus explaining the name client/server. The main difference between client/server and mainframe environments is that the user's PC in a client/server environment is capable of thinking on its own, capable of running its own processes using its own CPU and memory, but readily accessible to a server computer through a network. In most cases, a client/server system is much more flexible for today's overall business needs and is much preferred.

Modern database systems reside on various types of computer systems with various operating systems. The most common types of operating systems are Windows-based systems and common line systems such as UNIX. Databases reside mainly in client/server and Web environments. A lack of training and experience is the main reason for failed implementations of database systems. Nevertheless, an understanding of the client/server model and Web-based systems is imperative with the rising (and sometimes unreasonable) demands placed on today's businesses as well as the development of Internet technologies and network computing. Figure 1.3 illustrates the concept of client/server technology.

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Figure 1.3 The client/server model.

An Introduction to Web-Based Database Systems

Business information systems are moving toward Web integration. Databases are now accessible through the Internet, meaning that customers' access to an organization's information is enabled through an internet browser such as Internet Explorer or Netscape. Customers (users of data) are able to order merchandise, check on inventories, check on the status of orders, make administrative changes to accounts, transfer money from one account to another, and so forth.

A customer simply invokes an Internet browser, goes to the organization's Web site, logs in (if required by the organization), and uses an application built into the organization's Web page to access data. Most organizations require users to register with them, and will issue a login and password to the customer.

Of course, there are many things that occur behind the scenes when a database is being accessed via a Web browser. SQL, for instance, can be executed by the Web application. This executed SQL is used to access the organization's database, return data to the Web server, and then return that data to the customer's Internet browser.

The basic structure of a Web-based database system is similar to that of a client server system from a user's standpoint. Refer to Figure 1.3. Each user has a client machine, which has a connection to the Internet and contains a Web browser. The network in Figure 1.3 (in the case of a Web-based database) just happens to be the Internet, as opposed to a local network. For the most part, a client is still accessing a server for information. It doesn't matter that the server may exist in another state, or even another country. The main point of Web-based database systems is to expand the potential customer base of a database system that knows no physical location bounds, thus increasing data availability and an organization's customer base.

Some Popular Relational Database Vendors

Some of the most predominant database vendors include Oracle, Microsoft, Informix, Sybase, and IBM. These vendors distribute various versions of the relational database for a significant cost. There are many other vendors who supply an open source version of an SQL database (relational database). Some of these vendors include MySQL, PostgresSQL, and SAP. Although there are many more vendors than those mentioned, this list includes names that you may have recognized on the bookshelf, in the newspaper, in magazines, on the stock market, or on the World Wide Web.

Differences Between Implementations

As each individual in this world is unique in both features and nature, so is each vendor-specific implementation of SQL. A database server is a product, like any other product on the market, manufactured by a widespread number of vendors. It is to the benefit of the vendor to ensure that its implementation is compliant with the current ANSI standard for portability and user convenience. For instance, if a company is migrating from one database server to another, it would be rather discouraging for the database users to have to learn another language to maintain functionality with the new system.

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With each vendor's SQL implementation, however, you find that there are enhancements that serve the purpose for each database server. These enhancements, or extensions, are additional commands and options that are simply a bonus to the standard SQL package and available with a specific implementation.

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