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  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

Appendix G. Bonus Exercises

The exercises in this appendix are bonus walkthrough exercises and are specific to MySQL. We provide an explanation or question, then provide the SQL code that you need to type into the mysql> prompt. Please study the question, code, and results carefully to improve your knowledge of SQL.

  1. Invoke MySQL and create a new database for bonus exercises.

    CREATE DATABASE BONUS; 
    
  2. Point MySQL to your new database.

    USE BONUS; 
    
  3. Create a table to keep track of basketball teams.

    CREATE TABLE TEAMS 
    ( TEAM_ID        INTEGER(2)    NOT NULL,
      NAME        VARCHAR(20)    NOT NULL );
    
  4. Create a table to keep track of basketball players.

    CREATE TABLE PLAYERS 
    ( PLAYER_ID     INTEGER(2)    NOT NULL,
      LAST        VARCHAR(20)    NOT NULL,
      FIRST        VARCHAR(20)    NOT NULL,
      TEAM_ID        INTEGER(2)    NULL,
      NUMBER        INTEGER(2)    NOT NULL );
    
  5. Create a table to keep track of players' personal information.

    CREATE TABLE PLAYER_DATA 
    ( PLAYER_ID    INTEGER(2)    NOT NULL,
      HEIGTH        DECIMAL(4,2)    NOT NULL,
      WEIGHT        DECIMAL(5,2)    NOT NULL );
    
  6. Create a table to keep track of games played.

    CREATE TABLE GAMES 
    ( GAME_ID            INTEGER(2)    NOT NULL,
      GAME_DT            DATETIME        NOT NULL,
      HOME_TEAM_ID        INTEGER(2)    NOT NULL,
      GUEST_TEAM_ID    INTEGER(3)    NOT NULL );
    
  7. Create a table to keep track of each team's score for each game.

    CREATE TABLE SCORES 
    ( GAME_ID        INTEGER(2)    NOT NULL,
      TEAM_ID        INTEGER(2)    NOT NULL,
      SCORE        INTEGER(3)    NOT NULL,
      WIN_LOSE    VARCHAR(4)    NOT NULL );
    
  8. View all the tables that you created.

    SHOW TABLES; 
    
  9. Create records for the basketball teams.

    INSERT INTO TEAMS VALUES ('1','STRING MUSIC'); 
    INSERT INTO TEAMS VALUES ('2','HACKERS');
    INSERT INTO TEAMS VALUES ('3','SHARP SHOOTERS');
    INSERT INTO TEAMS VALUES ('4','HAMMER TIME');
    
  10. Create records for the players.

    INSERT INTO PLAYERS VALUES ('1','SMITH','JOHN','1','12'); 
    INSERT INTO PLAYERS VALUES ('2','BOBBIT','BILLY','1','2');
    INSERT INTO PLAYERS VALUES ('3','HURTA','WIL','2','32');
    INSERT INTO PLAYERS VALUES ('4','OUCHY','TIM','2','22');
    INSERT INTO PLAYERS VALUES ('5','BYRD','ERIC','3','6');
    INSERT INTO PLAYERS VALUES ('6','JORDAN','RYAN','3','23');
    INSERT INTO PLAYERS VALUES ('7','HAMMER','WALLY','4','21');
    INSERT INTO PLAYERS VALUES ('8','HAMMER','RON','4','44');
    INSERT INTO PLAYERS VALUES ('11','KNOTGOOD','AL',NULL,'0');
    
  11. Create records for the players' personal data.

    INSERT INTO PLAYER_DATA VALUES ('1','71','180'); 
    INSERT INTO PLAYER_DATA VALUES ('2','58','195');
    INSERT INTO PLAYER_DATA VALUES ('3','72','200');
    INSERT INTO PLAYER_DATA VALUES ('4','74','170');
    INSERT INTO PLAYER_DATA VALUES ('5','71','182');
    INSERT INTO PLAYER_DATA VALUES ('6','72','289');
    INSERT INTO PLAYER_DATA VALUES ('7','79','250');
    INSERT INTO PLAYER_DATA VALUES ('8','73','193');
    INSERT INTO PLAYER_DATA VALUES ('11','85','310');
    
  12. Create records in the GAMES table based on games that have been scheduled.

    INSERT INTO GAMES VALUES ('1','2002-05-01','1','2'); 
    INSERT INTO GAMES VALUES ('2','2002-05-02','3','4');
    INSERT INTO GAMES VALUES ('3','2002-05-03','1','3');
    INSERT INTO GAMES VALUES ('4','2002-05-05','2','4');
    INSERT INTO GAMES VALUES ('5','2002-05-05','1','2');
    INSERT INTO GAMES VALUES ('6','2002-05-09','3','4');
    INSERT INTO GAMES VALUES ('7','2002-05-10','2','3');
    INSERT INTO GAMES VALUES ('8','2002-05-11','1','4');
    INSERT INTO GAMES VALUES ('9','2002-05-12','2','3');
    INSERT INTO GAMES VALUES ('10','2002-05-15','1','4');
    
  13. Create records in the SCORES table based on games that have been played.

    INSERT INTO SCORES VALUES ('1','1','66','LOSE'); 
    INSERT INTO SCORES VALUES ('2','3','78','WIN');
    INSERT INTO SCORES VALUES ('3','1','45','LOSE');
    INSERT INTO SCORES VALUES ('4','2','56','LOSE');
    INSERT INTO SCORES VALUES ('5','1','100','WIN');
    INSERT INTO SCORES VALUES ('6','3','67','LOSE');
    INSERT INTO SCORES VALUES ('7','2','57','LOSE');
    INSERT INTO SCORES VALUES ('8','1','98','WIN');
    INSERT INTO SCORES VALUES ('9','2','56','LOSE');
    INSERT INTO SCORES VALUES ('10','1','46','LOSE');
    
    INSERT INTO SCORES VALUES ('1','2','75','WIN');
    INSERT INTO SCORES VALUES ('2','4','46','LOSE');
    INSERT INTO SCORES VALUES ('3','3','87','WIN');
    INSERT INTO SCORES VALUES ('4','4','99','WIN');
    INSERT INTO SCORES VALUES ('5','2','88','LOSE');
    INSERT INTO SCORES VALUES ('6','4','77','WIN');
    INSERT INTO SCORES VALUES ('7','3','87','WIN');
    INSERT INTO SCORES VALUES ('8','4','56','LOSE');
    INSERT INTO SCORES VALUES ('9','3','87','WIN');
    INSERT INTO SCORES VALUES ('10','4','78','WIN')
    
  14. What is the average height of all players?

    SELECT AVG(HEIGHT) FROM PLAYER_DATA; 
    
  15. What is the average weight of all players?

    SELECT AVG(WEIGHT) FROM PLAYER_DATA; 
    
  16. View a list of player information as follows:

    NAME=LAST NUMBER=N HEIGHT=N WEIGHT=N 
    SELECT CONCAT('NAME=',P1.LAST,' NUMBER=',P1.NUMBER,'
    HEIGHT=',P2.HEIGHT,' WEIGHT=',P2.WEIGHT)
    FROM PLAYERS P1,
         PLAYER_DATA P2
    WHERE P1.PLAYER_ID = P2.PLAYER_ID;
    
  17. Create a team roster that looks like the following:

        TEAM NAME        LAST, FIRST    NUMBER 
    SELECT T.NAME, CONCAT(P.LAST,', ',P.FIRST), P.NUMBER
    FROM TEAMS T,
         PLAYERS P
    WHERE T.TEAM_ID = P.TEAM_ID;
    
  18. What team has scored the most points of all games?

    SELECT T.NAME, SUM(S.SCORE) 
    FROM TEAMS T,
         SCORES S
    WHERE T.TEAM_ID = S.TEAM_ID
    GROUP BY T.NAME
    ORDER BY 2 DESC;
    
  19. What is the most points scored in a single game by one team?

    SELECT MAX(SCORE) 
    FROM SCORES;
    
  20. What is the most points scored collectively by both teams in a single game?

    SELECT GAME_ID, SUM(SCORE) 
    FROM SCORES
    GROUP BY GAME_ID
    ORDER BY 2 DESC;
    
  21. Are there any players who are not assigned to a team?

    SELECT LAST, FIRST, TEAM_ID 
    FROM PLAYERS
    WHERE TEAM_ID IS NULL;
    
  22. How many teams are there?

    SELECT COUNT(*) FROM TEAMS; 
    
  23. How many players are there?

    SELECT COUNT(*) FROM PLAYERS; 
    
  24. How many games were played on the 5th of May, 2002?

    SELECT COUNT(*) FROM GAMES 
    WHERE GAME_DT = '2002-05-05';
    
  25. Who is the tallest player?

    SELECT P.LAST, P.FIRST, PD.HEIGHT 
    FROM PLAYERS P,
         PLAYER_DATA PD
    WHERE P.PLAYER_ID = PD.PLAYER_ID
    ORDER BY 3 DESC;
    OR
    SELECT MAX(HEIGHT) FROM PLAYER_DATA;
    SELECT P.LAST, P.FIRST, PD.HEIGHT
    FROM PLAYERS P,
         PLAYER_DATA PD
    WHERE HEIGHT = 85;
    
  26. Ron Hammer received too many flagrant fouls and has been ejected. Remove his record from the database and replace him with Al Knotgood.

    SELECT PLAYER_ID 
    FROM PLAYERS
    WHERE LAST = 'HAMMER'
      AND FIRST = 'RON';
    DELETE FROM PLAYERS WHERE PLAYER_ID = '8';
    DELETE FROM PLAYER_DATA WHERE PLAYER_ID = '8';
    SELECT PLAYER_ID
    FROM PLAYERS
    WHERE LAST = 'KNOTGOOD'
      AND FIRST = 'AL';
    UPDATE PLAYERS
    SET TEAM_ID = '4'
    WHERE PLAYER_ID = '11';
    
  27. Who is Al Knotgood's new teammate?

    SELECT TEAMMATE.LAST, TEAMMATE.FIRST 
    FROM PLAYERS TEAMMATE,
         PLAYERS P
    WHERE P.TEAM_ID = TEAMMATE.TEAM_ID
      AND P.LAST = 'KNOTGOOD'
      AND P.FIRST = 'AL';
    
  28. Generate a list of all games and game dates. Also list home and guest teams for each game.

    SELECT G.GAME_ID, HT.NAME, GT.NAME 
    FROM GAMES G,
         TEAMS HT,
         TEAMS GT
    WHERE HT.TEAM_ID = G.HOME_TEAM_ID
      AND GT.TEAM_ID = G.GUEST_TEAM_ID;
    
  29. Create indexes for all names in the database. Names are often indexed because you often search by name.

    CREATE INDEX TEAM_IDX 
    ON TEAMS (NAME);
    CREATE INDEX PLAYERS_IDX
    ON PLAYERS (LAST, FIRST);
    
  30. Which team has the most wins?

    SELECT T.NAME, COUNT(S.WIN_LOSE) 
    FROM TEAMS T,
         SCORES S
    WHERE T.TEAM_ID = S.TEAM_ID
      AND S.WIN_LOSE = 'WIN'
    GROUP BY T.NAME
    ORDER BY 2 DESC;
    
  31. Which team has the most losses?

    SELECT T.NAME, COUNT(S.WIN_LOSE) 
    FROM TEAMS T,
         SCORES S
    WHERE T.TEAM_ID = S.TEAM_ID
      AND S.WIN_LOSE = 'LOSE'
    GROUP BY T.NAME
    ORDER BY 2 DESC;
    
  32. Which team has the highest average score per game?

    SELECT T.NAME, AVG(S.SCORE) 
    FROM TEAMS T,
         SCORES S
    WHERE T.TEAM_ID = S.TEAM_ID
    GROUP BY T.NAME
    ORDER BY 2 DESC;
    
  33. Generate a report that shows each team's record. Sort the report by teams with the most wins, and then by teams with the least losses.

    SELECT T.NAME, SUM(REPLACE(S.WIN_LOSE,'WIN',1)) WINS, 
           SUM(REPLACE(S.WIN_LOSE,'LOSE',1)) LOSSES
    FROM TEAMS T,
         SCORES S
    WHERE T.TEAM_ID = S.TEAM_ID
    GROUP BY T.NAME
    ORDER BY 2 DESC, 3;
    
  34. What was the final score of each game?

    SELECT G.GAME_ID, 
           HOME_TEAMS.NAME "HOME TEAM", HOME_SCORES.SCORE,
           GUEST_TEAMS.NAME "GUEST TEAM", GUEST_SCORES.SCORE
    FROM GAMES G,
         TEAMS HOME_TEAMS,
         TEAMS GUEST_TEAMS,
         SCORES HOME_SCORES,
         SCORES GUEST_SCORES
    WHERE G.HOME_TEAM_ID = HOME_TEAMS.TEAM_ID
      AND G.GUEST_TEAM_ID = GUEST_TEAMS.TEAM_ID
      AND HOME_SCORES.GAME_ID = G.GAME_ID
      AND GUEST_SCORES.GAME_ID = G.GAME_ID
      AND HOME_SCORES.TEAM_ID = G.HOME_TEAM_ID
      AND GUEST_SCORES.TEAM_ID = G.GUEST_TEAM_ID
    ORDER BY G.GAME_ID;
    

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