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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

Date Conversions

The conversion of dates can take place for any number of reasons. Conversions are mainly used to alter the data type of values defined as a DATETIME value or any other valid data type of a particular implementation.

Typical reasons for date conversions are as follows:

  • To compare date values of different data types
  • To format a date value as a character string
  • To convert a character string into a date format

The ANSI CAST operator is used to convert data types into other data types.

The basic syntax is as follows:

   syntax_icon.gif
CAST ( EXPRESSION AS NEW_DATA_TYPE )

Specific examples according to the syntax of some implementations are illustrated in the following subsections, covering

  • The representation of parts of a DATETIME value
  • Conversions of dates to character strings
  • Conversions of character strings to dates

Date Pictures

newterm_icon.gif

A date picture is composed of formatting elements used to extract date and time information from the database in a desired format. Date pictures may not be available in all SQL implementations.

Without the use of a date picture and some type of conversion function, the date and time information is retrieved from the database in a default format, such as

1999-12-31
31-DEC-99
1999-12-31 23:59:01.11
...

What if you wanted the date displayed as the following? You would have to convert the date from a DATETIME format into a character string format:

December 31, 1997 

This is accomplished by implementation-specific functions for this very purpose, further illustrated in the following sections.

Sybase date pictures:

 

yy

Year

qq

Quarter

mm

Month

dy

Day of year

wk

Week

dw

Weekday

hh

Hour

mi

Minute

ss

Second

ms

Millisecond

Oracle date pictures:

 

AD

Anno Domini

AM

Ante meridian

BC

Before Christ

CC

Century

D

Number of the day in the week

DD

Number of the day in the month

DDD

Number of the day in the year

DAY

The day spelled out (MONDAY)

Day

The day spelled out (Monday)

day

The day spelled out (monday)

DY

The three-letter abbreviation of day (MON)

Dy

The three-letter abbreviation of day (Mon)

dy

The three-letter abbreviation of day (mon)

HH

Hour of the day

HH12

Hour of the day

HH24

Hour of the day for a 24-hour clock

J

Julian days since 12-31-4713 B.C.

MI

Minute of the hour

MM

The number of the month

MON

The three-letter abbreviation of the month (JAN)

Mon

The three-letter abbreviation of the month (Jan)

mon

The three-letter abbreviation of the month (jan)

MONTH

The month spelled out (JANUARY)

Month

The month spelled out (January)

month

The month spelled out (january)

PM

Post meridian

Q

The number of the quarter

RM

The Roman numeral for the month

RR

The two digits of the year

SS

The second of a minute

SSSSS

The seconds since midnight

SYYYY

The signed year; if B.C. 500, B.C. = -500

W

The number of the week in a month

WW

The number of the week in a year

Y

The last digit of the year

YY

The last two digits of the year

YYY

The last three digits of the year

YYYY

The year

YEAR

The year spelled out (NINETEEN-NINETY-NINE)

Year

The year spelled out (Nineteen-Ninety-Nine)

year

The year spelled out (nineteen-ninety-nine)

MySQL date pictures:

 

SECOND

Seconds

MINUTE

Minutes

HOUR

Hours

DAY

Days

MONTH

Months

YEAR

Years

MINUTE_SECOND

Minutes and seconds

HOUR_MINUTE

Hours and minutes

DAY_HOUR

Days and hours

YEAR_MONTH

Years and months

HOUR_SECOND

Hours, minutes, and seconds

DAY_MINUTE

Days and minutes

DAY_SECOND

Days and seconds

Converting Dates to Character Strings

DATETIME values are converted to character strings to alter the appearance of output from a query. A conversion function is used to achieve this. Two examples, the first using SQL Server, of converting date and time data into a character string as designated by a query follow:

   mysql_icon.gif
   oracle_icon.gif
   input_icon.gif

   SELECT DATE_HIRE = DATENAME(MONTH, DATE_HIRE)

   FROM EMPLOYEE_PAY_TBL

   output_icon.gif
DATE_HIRE
---------
May
June
August
June
July
Jan

6 rows affected.

The following is an Oracle date conversion using the TO_CHAR function:

   mysql_icon.gif
   input_icon.gif

   SELECT DATE_HIRE, TO_CHAR(DATE_HIRE,'Month dd, yyyy') HIRE

   FROM EMPLOYEE_PAY_TBL;

   output_icon.gif
DATE_HIRE HIRE
--------- ------------------
23-MAY-89 May       23, 1989
17-JUN-90 June      17, 1990
14-AUG-94 August    14, 1994
28-JUN-97 June      28, 1997
22-JUL-96 July      22, 1996
14-JAN-91 January   14, 1991

6 rows selected.

Converting Character Strings to Dates

The following example illustrates a method from one implementation of converting a character string into a date format. When the conversion is complete, the data can be stored in a column defined as having some form of a DATETIME data type.

   mysql_icon.gif
   input_icon.gif

   SELECT TO_DATE('JANUARY 01 1998','MONTH DD YYYY')

   FROM EMPLOYEE_PAY_TBL;

   output_icon.gif
TO_DATE('
----------
01-JAN-99
01-JAN-99
01-JAN-99
01-JAN-99
01-JAN-99
01-JAN-99

6 rows selected.

You may be wondering why six rows were selected from this query when only one date value was provided. The reason is because the conversion of the literal string was selected from the EMPLOYEE_PAY_TBL, which has six rows of data. Hence, the conversion of the literal string was selected against each record in the table.

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