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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

Various Common Character Functions

Character functions are used mainly to compare, join, search, and extract a segment of a string or a value in a column. There are several character functions available to the SQL programmer.

The following sections illustrate the application of ANSI concepts in some of the leading implementations of SQL, such as in Oracle, Sybase, SQLBase, Informix, and SQL Server.

Concatenation

Concatenation, along with most other functions, is represented slightly differently among various implementations. The following examples show the use of concatenation in Oracle and SQL Server.

In Oracle

SELECT 'JOHN' || 'SON' returns JOHNSON

In SQL Server

SELECT 'JOHN' + 'SON' returns JOHNSON

In MySQL

SELECT CONCAT('JOHN' , 'SON') returns JOHNSON

The syntax for Oracle is

   syntax_icon.gif
COLUMN_NAME || [ '' || ] COLUMN_NAME [ COLUMN_NAME ]

The syntax for SQL Server is

COLUMN_NAME + [ '' + ] COLUMN_NAME [ COLUMN_NAME ] 

The syntax for MySQL is

CONCAT(COLUMN_NAME , [ '' , ] COLUMN_NAME [ COLUMN_NAME ] 

Example

Meaning

SELECT CITY + STATE FROM EMPLOYEE_TBL;

This SQL Server statement concatenates the values for city and state into one value.

SELECT CITY ||', '|| STATE FROM EMPLOYEE_TBL;

This Oracle statement concatenates the values for city and state into one value, placing a comma between the values for city and state.

SELECT CITY + '' + STATE FROM EMPLOYEE_TBL;

This SQL Server statement concatenates the values for city and state into one value, placing a space between the two original values.

Example:

   mysql_icon.gif
   input_icon.gif

   SELECT LAST_NAME || ', ' || FIRST_NAME NAME

   FROM EMPLOYEE_TBL;

   output_icon.gif
NAME
-----------------
STEPHENS, TINA
PLEW, LINDA
GLASS, BRANDON
GLASS, JACOB
WALLACE, MARIAH
SPURGEON, TIFFANY

6 rows selected.

TRANSLATE

The TRANSLATE function searches a string of characters and checks for a specific character, makes note of the position found, searches the replacement string at the same position, and then replaces that character with the new value. The syntax is

   syntax_icon.gif
TRANSLATE(CHARACTER SET, VALUE1, VALUE2)

Example

Meaning

SELECT TRANSLATE (CITY,'IND','ABC' FROM EMPLOYEE_TBL);B, and D with C.

This SQL statement substitutes every occurrence of I in the string with A, replaces all occurrences with C.

The following example illustrates the use of TRANSLATE with real data:

   mysql_icon.gif
   input_icon.gif

   SELECT CITY, TRANSLATE(CITY,'IND','ABC')

   FROM EMPLOYEE_TBL;

   output_icon.gif
CITY         TRANSLATE(CI
------------ ------------
GREENWOOD    GREEBWOOC
INDIANAPOLIS ABCAABAPOLAS
WHITELAND    WHATELABC
INDIANAPOLIS ABCAABAPOLAS
INDIANAPOLIS ABCAABAPOLAS
INDIANAPOLIS ABCAABAPOLAS

6 rows selected.

Notice in this example that all occurrences of I were replaced with A, N with B, and D with C. In the city INDIANAPOLIS, IND was replaced with ABC, but in GREENWOOD, D was replaced with C. Also notice how the value WHITELAND was translated.

REPLACE

The REPLACE function is used to replace every occurrence of a character(s) with a specified character(s). The use of this function is similar to the TRANSLATE function; only one specific character or string is replaced within another string. The syntax is

   syntax_icon.gif

REPLACE('VALUE', 'VALUE', [ NULL ] 'VALUE')

Example

Meaning

SELECT REPLACE(FIRST__'T', 'B') FROM EMPLOYEE_TBL

This statement returns all NAME, the first names and changes any occurrence of T to a B.

   input_icon.gif

   SELECT CITY, REPLACE(CITY,'I','Z')

   FROM EMPLOYEE_TBL;

   output_icon.gif
CITY         REPLACE(CITY)
------------ -------------
GREENWOOD    GREENWOOD
INDIANAPOLIS ZNDZANAPOLZS
WHITELAND    WHZTELAND
INDIANAPOLIS ZNDZANAPOLZS
INDIANAPOLIS ZNDZANAPOLZS
INDIANAPOLIS ZNDZANAPOLZS

6 rows selected.

UPPER

Most implementations have a way to control the case of data by using functions. The UPPER function is used to convert lowercase letters to uppercase letters for a specific string.

The syntax is as follows:

   syntax_icon.gif
UPPER(character string)

Example

Meaning

SELECT UPPER(LAST_NAME)FROM EMPLOYEE_TBL;LAST_NAME

This SQL statement converts all characters in the column to uppercase.

   input_icon.gif

   SELECT UPPER(CITY)

   FROM EMPLOYEE_TBL;

   output_icon.gif
UPPER(CITY)
-------------
GREENWOOD
INDIANAPOLIS
WHITELAND
INDIANAPOLIS
INDIANAPOLIS
INDIANAPOLIS

6 rows selected.

LOWER

The converse of the UPPER function, the LOWER function is used to convert uppercase letters to lowercase letters for a specific string.

The syntax is as follows:

   syntax_icon.gif
LOWER(character string)

Example

Meaning

SELECT LOWER(LAST_NAME)FROM EMPLOYEE_TBL;LAST_NAME

This SQL statement converts all characters in the column to lowercase.

   input_icon.gif

   SELECT LOWER(CITY)

   FROM EMPLOYEE_TBL;

   output_icon.gif
LOWER(CITY)
-------------
greenwood
indianapolis
whiteland
indianapolis
indianapolis
indianapolis

6 rows selected.

SUBSTR

Taking an expression's substring is common in most implementations of SQL, but the function name may differ, as shown in the following Oracle and SQL Server examples.

The syntax for Oracle is

   syntax_icon.gif
SUBSTR(COLUMN NAME, STARTING POSITION, LENGTH)

The syntax for SQL Server is

SUBSTRING(COLUMN NAME, STARTING POSITION, LENGTH) 

The only difference between the two implementations is the spelling of the function name.

Example

Meaning

SELECT SUBSTRING(EMP_ID,1,3) FROM EMPLOYEE_TBL

This SQL statement returns the first three characters of EMP_ID.

SELECT SUBSTRING(EMP_ID,4,2) FROM EMPLOYEE_TBL

This SQL statement returns the fourth and fifth characters of EMP_ID.

SELECT SUBSTRING(EMP_ID,6,4) FROM EMPLOYEE_TBL

This SQL statement returns the sixth through the ninth characters of EMP_ID.

The following is an example that is compatible with Microsoft SQL Server and MySQL:

   input_icon.gif

   SELECT EMP_ID, SUBSTRING(EMP_ID,1,3)

   FROM EMPLOYEE_TBL;

   output_icon.gif
EMP_ID    SUB
--------- ---
311549902 311
442346889 442
213764555 213
313782439 313
220984332 220
443679012 443

6 rows affected.
mysql_icon.gif
   input_icon.gif

   SELECT EMP_ID, SUBSTR(EMP_ID,1,3)

   FROM EMPLOYEE_TBL;

   output_icon.gif
EMP_ID    SUB
--------- ---
311549902 311
442346889 442
213764555 213
313782439 313
220984332 220
443679012 443

6 rows selected.

INSTR

The INSTR function is a variation of the POSITION function; it is used to search a string of characters for a specific set of characters and report the position of those characters. The syntax is as follows:

   syntax_icon.gif
INSTR(COLUMN NAME, 'SET',
[ START POSITION [ , OCCURRENCE ] ]);

Example

Meaning

SELECT INSTR(STATE,'I',1,1) FROM EMPLOYEE_TBL;

This SQL statement returns the position of the first occurrence of the letter I for each state in EMPLOYEE_TBL.

   mysql_icon.gif
   input_icon.gif

   SELECT PROD_DESC,
       
   INSTR(PROD_DESC,'A',1,1)

   FROM PRODUCTS_TBL;

   output_icon.gif
PROD_DESC                 INSTR(PROD_DESC,'A',1,1)
------------------------- --------------------------
WITCHES COSTUME                                  0
PLASTIC PUMPKIN 18 INCH                          3
FALSE PARAFFIN TEETH                             2
LIGHTED LANTERNS                                10
ASSORTED COSTUMES                                1
CANDY CORN                                       2
PUMPKIN CANDY                                   10
PLASTIC SPIDERS                                  3
ASSORTED MASKS                                   1
KEY CHAIN                                        7
OAK BOOKSHELF                                    2

11 rows selected.

Notice that if the searched character A was not found in a string, the value 0 was returned for the position.

LTRIM

The LTRIM function is another way of clipping part of a string. This function and SUBSTRING are in the same family. LTRIM is used to trim characters from the left of a string. The syntax is

   syntax_icon.gif

LTRIM(CHARACTER STRING [ ,'set' ])

Example

Meaning

SELECT LTRIM(FIRST_NAME,'LES') FROM CUSTOMER_TBL WHERE FIRST_NAME ='LESLIE';

This SQL statement trims the characters LES from the left of all names that are LESLIE.

   mysql_icon.gif
   input_icon.gif

   SELECT POSITION, LTRIM(POSITION,'SALES')

   FROM EMPLOYEE_PAY_TBL;

   output_icon.gif
POSITION        LTRIM(POSITION,
--------------- ---------------
MARKETING       MARKETING
TEAM LEADER     TEAM LEADER
SALES MANAGER   MANAGER
SALESMAN        MAN
SHIPPER         HIPPER
SHIPPER         HIPPER

6 rows selected.

The S in SHIPPER was trimmed off, even though SHIPPER does not contain the string SALES. The first four characters of SALES were ignored. The searched characters must appear in the same order of the search string and must be on the far left of the string. In other words, LTRIM will trim off all characters to the left of the last occurrence in the search string.

RTRIM

Like LTRIM, the RTRIM function is used to trim characters from the right of a string. The syntax is

   syntax_icon.gif
RTRIM(CHARACTER STRING [ ,'set' ])

Example

Meaning

SELECT RTRIM(FIRST_NAME, 'ON') FROM EMPLOYEE_TBL WHERE FIRST_NAME = 'BRANDON';

This SQL statement returns the first name BRANDON and trims the ON, leaving BRAND as a result.

   mysql_icon.gif
   input_icon.gif

   SELECT POSITION, RTRIM(POSITION,'ER')

   FROM EMPLOYEE_PAY_TBL;

   output_icon.gif
POSITION        RTRIM(POSITION,
--------------- ---------------
MARKETING       MARKETING
TEAM LEADER     TEAM LEAD
SALES MANAGER   SALES MANAG
SALESMAN        SALESMAN
SHIPPER         SHIPP
SHIPPER         SHIPP

6 rows selected.

The string ER was trimmed from the right of all applicable strings.

DECODE

The DECODE function is not ANSI—at least not at the time of this writing—but its use is shown here because of its great power. This function is used in SQLBase, Oracle, and possibly other implementations. DECODE is used to search a string for a value or string, and if the string is found, an alternative string is displayed as part of the query results.

The syntax is

   syntax_icon.gif
DECODE(COLUMN NAME, 'SEARCH1', 'RETURN1',[ 'SEARCH2', 'RETURN2' ,'DEFAULT VALUE'])

Example

Meaning

SELECT DECODE(LAST_NAME,'SMITH', 'JONES','OTHER') FROM EMPLOYEE_TBL;

This query searches the value of all last names in EMPLOYEE_TBL; if the value SMITH is found, JONES is displayed in its place.Any other names are displayed as OTHER, which is called the default value.

In the following example, DECODE is used on the values for CITY in EMPLOYEE_TBL:

   mysql_icon.gif
   input_icon.gif

   SELECT CITY,
       
   DECODE(CITY,'INDIANAPOLIS','INDY',
                   
   'GREENWOOD','GREEN', 'OTHER')

   FROM EMPLOYEE_TBL;

   output_icon.gif
CITY         DECOD
------------ -----
GREENWOOD    GREEN
INDIANAPOLIS INDY
WHITELAND    OTHER
INDIANAPOLIS INDY
INDIANAPOLIS INDY
INDIANAPOLIS INDY

6 rows selected.

The output shows the value INDIANAPOLIS displayed as INDY, GREENWOOD displayed as GREEN, and all other cities displayed as OTHER.

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