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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

What Is a Subquery?

newterm_icon.gif

A subquery is a query embedded within the WHERE clause of another query to further restrict data returned by the query. A subquery is a query within another query, also known as a nested query. A subquery is used to return data that will be used in the main query as a condition to further restrict the data to be retrieved. Subqueries are used with the SELECT, INSERT, UPDATE, and DELETE statements.

A subquery can be used in some cases in place of a join operation by indirectly linking data between the tables based on one or more conditions. When a subquery is used in a query, the subquery is resolved first, and then the main query is resolved according to the condition(s) as resolved by the subquery. The results of the subquery are used to process expressions in the WHERE clause of the main query. The subquery can be used either in the WHERE clause or the HAVING clause of the main query. Logical and relational operators, such as =, >, <, <>, IN, NOT IN, AND, OR, and so on, can be used within the subquery as well to evaluate a subquery in the WHERE or HAVING clause.

There are a few rules that subqueries must follow:

  • Subqueries must be enclosed within parentheses.
  • A subquery can have only one column in the SELECT clause, unless multiple columns are in the main query for the subquery to compare its selected columns.
  • An ORDER BY cannot be used in a subquery, although the main query can use an ORDER BY. The GROUP BY can be used to perform the same function as the ORDER BY in a subquery.
  • Subqueries that return more than one row can only be used with multiple value operators, such as the IN operator.
  • The SELECT list cannot include any references to values that evaluate to a BLOB, ARRAY, CLOB, or NCLOB.
  • A subquery cannot be immediately enclosed in a set function.
  • The BETWEEN operator cannot be used with a subquery; however, the BETWEEN can be used within the subquery.

The basic syntax for a subquery is as follows:

   syntax_icon.gif
SELECT COLUMN_NAME
FROM TABLE
WHERE COLUMN_NAME = (SELECT COLUMN_NAME
                     FROM TABLE
                     WHERE CONDITIONS);

The following examples show how the BETWEEN operator can and cannot be used with a subquery.

The following is an example of a correct use of BETWEEN in the subquery:

   mysql_icon.gif
SELECT COLUMN_NAME
FROM TABLE
WHERE COLUMN_NAME OPERATOR (SELECT COLUMN_NAME
                            FROM TABLE)
                            WHERE VALUE BETWEEN VALUE)

The following is an example of an illegal use of BETWEEN with a subquery:

SELECT COLUMN_NAME 
FROM TABLE
WHERE COLUMN_NAME BETWEEN VALUE AND (SELECT COLUMN_NAME
                                     FROM TABLE)

BETWEEN cannot be used as an operator outside the subquery.

Subqueries with the SELECT Statement

Subqueries are most frequently used with the SELECT statement, although they can be used within a data manipulation statement as well. The subquery, when used with the SELECT statement, retrieves data for the main query to use to solve the main query.

The basic syntax is as follows:

   syntax_icon.gif
SELECT COLUMN_NAME [, COLUMN_NAME ]
FROM TABLE1 [, TABLE2 ]
WHERE COLUMN_NAME OPERATOR
                  (SELECT COLUMN_NAME [, COLUMN_NAME ]
                   FROM TABLE1 [, TABLE2 ]
                  [ WHERE ])

The following is an example:

   mysql_icon.gif
SELECT E.EMP_ID, E.LAST_NAME, E.FIRST_NAME, EP.PAY_RATE
FROM EMPLOYEE_TBL E, EMPLOYEE_PAY_TBL EP
WHERE E.EMP_ID = EP.EMP_ID
AND EP.PAY_RATE > (SELECT PAY_RATE
                   FROM EMPLOYEE_PAY_TBL
                   WHERE EMP_ID = '313782439');

analysis_icon.gif

The preceding SQL statement returns the employee identification, last name, first name, and pay rate for all employees who have a pay rate greater than that of the employee with the identification 313782439. In this case, you do not necessarily know (or care) what the exact pay rate is for this particular employee; you only care about the pay rate for the purpose of getting a list of employees who bring home more than the employee specified in the subquery.

The next query selects the pay rate for a particular employee. This query is used as the subquery in the following example.

   input_icon.gif

   SELECT PAY_RATE

   FROM EMPLOYEE_PAY_TBL

   WHERE EMP_ID = '220984332';

   output_icon.gif
  PAY_RATE
----------
      11

1 row selected.

The previous query is used as a subquery in the WHERE clause of the following query.

   input_icon.gif

   SELECT E.EMP_ID, E.LAST_NAME, E.FIRST_NAME, EP.PAY_RATE

   FROM EMPLOYEE_TBL E, EMPLOYEE_PAY_TBL EP

   WHERE E.EMP_ID = EP.EMP_ID
  
   AND EP.PAY_RATE > (SELECT PAY_RATE
                     
   FROM EMPLOYEE_PAY_TBL
                     
   WHERE EMP_ID = '220984332');

   output_icon.gif
EMP_ID    LAST_NAM FIRST_NA   PAY_RATE
--------- -------- ---------- --------
442346889 PLEW     LINDA         14.75
443679012 SPURGEON TIFFANY          15

2 rows selected.

The result of the subquery is 11 (shown in the last example), so the last condition of the WHERE clause is evaluated as

AND EP.PAY_RATE > 11 

You did not know the value of the pay rate for the given individual when you executed the query. However, the main query was able to compare each individual's pay rate to the subquery results.

Subqueries with the INSERT Statement

Subqueries also can be used in conjunction with data manipulation language (DML) statements. The INSERT statement is the first instance you will examine. The INSERT statement uses the data returned from the subquery to insert into another table. The selected data in the subquery can be modified with any of the character, date, or number functions.

The basic syntax is as follows:

   syntax_icon.gif
INSERT INTO TABLE_NAME [ (COLUMN1 [, COLUMN2 ]) ]
SELECT [ *|COLUMN1 [, COLUMN2 ]
FROM TABLE1 [, TABLE2 ]
[ WHERE VALUE OPERATOR ]

The following is an example of the INSERT statement with a subquery:

   mysql_icon.gif
   input_icon.gif

   INSERT INTO RICH_EMPLOYEES

   SELECT E.EMP_ID, E.LAST_NAME, E.FIRST_NAME, EP.PAY_RATE

   FROM EMPLOYEE_TBL E, EMPLOYEE_PAY_TBL EP

   WHERE E.EMP_ID = EP.EMP_ID
  
   AND EP.PAY_RATE > (SELECT PAY_RATE
                     
   FROM EMPLOYEE_PAY_TBL
                     
   WHERE EMP_ID = '220984332');

   output_icon.gif
2 rows created.

This INSERT statement inserts the EMP_ID, LAST_NAME, FIRST_NAME, and PAY_RATE into a table called RICH_EMPLOYEES for all records of employees who have a pay rate greater than the pay rate of the employee with identification 220984332.

Subqueries with the UPDATE Statement

The subquery can be used in conjunction with the UPDATE statement. Either single or multiple columns in a table can be updated when using a subquery with the UPDATE statement.

The basic syntax is as follows:

   syntax_icon.gif
UPDATE TABLE
SET COLUMN_NAME [, COLUMN_NAME) ] =
    (SELECT ]COLUMN_NAME [, COLUMN_NAME) ]
    FROM TABLE
    [ WHERE ]

Examples showing the use of the UPDATE statement with a subquery follow. The first query returns the employee identification of all employees who reside in Indianapolis. You can see that there are four individuals who meet this criteria.

   input_icon.gif

   SELECT EMP_ID

   FROM EMPLOYEE_TBL

   WHERE CITY = 'INDIANAPOLIS';

   output_icon.gif
EMP_ID
---------
442346889
313782439
220984332
443679012

4 rows selected.

The first query is used as the subquery in the following UPDATE statement. The first query proves how many employee identifications are returned by the subquery. The following is the UPDATE with the subquery:

   mysql_icon.gif
   input_icon.gif

   UPDATE EMPLOYEE_PAY_TBL

   SET PAY_RATE = PAY_RATE * 1.1

   WHERE EMP_ID IN (SELECT EMP_ID
                 
   FROM EMPLOYEE_TBL
                 
   WHERE CITY = 'INDIANAPOLIS');

   output_icon.gif
4 rows updated.

As expected, four rows are updated. One very important thing to notice is that, unlike the example in the first section, this subquery returns multiple rows of data. Because you expect multiple rows to be returned, you have used the IN operator instead of the equal sign. Remember that IN is used to compare an expression to values in a list. If the equal sign were used, an error would have been returned.

Subqueries with the DELETE Statement

The subquery also can be used in conjunction with the DELETE statement.

The basic syntax is as follows:

   syntax_icon.gif
DELETE FROM TABLE_NAME
[ WHERE OPERATOR [ VALUE ]
                (SELECT COLUMN_NAME
                FROM TABLE_NAME)
                [ WHERE) ]

In this example, you delete BRANDON GLASS's record from the EMPLOYEE_PAY_TBL table. You do not know Brandon's employee identification number, but you can use a subquery to get his identification from the EMPLOYEE_TBL table, which contains the FIRST_NAME and LAST_NAME columns.

   mysql_icon.gif
   input_icon.gif

   DELETE FROM EMPLOYEE_PAY_TBL

   WHERE EMP_ID = (SELECT EMP_ID
                
   FROM EMPLOYEE_TBL
                
   WHERE LAST_NAME = 'GLASS'
                  
   AND FIRST_NAME = 'BRANDON');

   output_icon.gif
1 row deleted.

Subquery Workaround Example with MySQL

Although subqueries are not currently supported by MySQL, the same results can sometimes be achieved from MySQL by using temporary tables.

Consider the following example that lists all employees that have an above-average PAY_RATE:

CREATE TABLE AVG_PAY_TMP AS 
SELECT AVG(PAY_RATE) PAY_RATE
FROM EMPLOYEE_PAY_TBL;

SELECT E.LAST_NAME, E.FIRST_NAME, EP.PAY_RATE
FROM EMPLOYEE_TBL E,
     EMPLOYEE_PAY_TBL EP,
     AVG_PAY_TMP AP
WHERE E.EMP_ID = EP.EMP_ID
  AND EP.PAY_RATE > AP.PAY_RATE;

First, a temporary table is created to hold the criteria that would normally be resolved by the subquery. Then, the main query uses the data in the temporary table as a condition in the WHERE clause. This is the same as a subquery, and a good way to understand the concepts of subqueries.

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