- Sams Teach Yourself SQL in 24 Hours, Third Edition
- Table of Contents
- Copyright
- About the Authors
- Acknowledgments
- Tell Us What You Think!
- Introduction
- Part I: A SQL Concepts Overview
- Hour 1. Welcome to the World of SQL
- SQL Definition and History
- SQL Sessions
- Types of SQL Commands
- An Introduction to the Database Used in This Book
- Summary
- Q&A
- Workshop
- Part II: Building Your Database
- Hour 2. Defining Data Structures
- What Is Data?
- Basic Data Types
- Summary
- Q&A
- Workshop
- Hour 3. Managing Database Objects
- What Are Database Objects?
- What Is a Schema?
- A Table: The Primary Storage for Data
- Integrity Constraints
- Summary
- Q&A
- Workshop
- Hour 4. The Normalization Process
- Normalizing a Database
- Summary
- Q&A
- Workshop
- Hour 5. Manipulating Data
- Overview of Data Manipulation
- Populating Tables with New Data
- Updating Existing Data
- Deleting Data from Tables
- Summary
- Q&A
- Workshop
- Hour 6. Managing Database Transactions
- What Is a Transaction?
- What Is Transactional Control?
- Transactional Control and Database Performance
- Summary
- Q&A
- Workshop
- Part III: Getting Effective Results from Queries
- Hour 7. Introduction to the Database Query
- What Is a Query?
- Introduction to the <tt>SELECT</tt> Statement
- Examples of Simple Queries
- Summary
- Q&A
- Workshop
- Hour 8. Using Operators to Categorize Data
- What Is an Operator in SQL?
- Comparison Operators
- Logical Operators
- Conjunctive Operators
- Negating Conditions with the <tt>NOT</tt> Operator
- Arithmetic Operators
- Summary
- Q&A
- Workshop
- Hour 9. Summarizing Data Results from a Query
- What Are Aggregate Functions?
- Summary
- Q&A
- Workshop
- Hour 10. Sorting and Grouping Data
- Why Group Data?
- The <tt>GROUP BY</tt> Clause
- <tt>GROUP BY</tt> Versus <tt>ORDER BY</tt>
- The <tt>HAVING</tt> Clause
- Summary
- Q&A
- Workshop
- Hour 11. Restructuring the Appearance of Data
- The Concepts of ANSI Character Functions
- Various Common Character Functions
- Miscellaneous Character Functions
- Mathematical Functions
- Conversion Functions
- The Concept of Combining Character Functions
- Summary
- Q&A
- Workshop
- Hour 12. Understanding Dates and Times
- How Is a Date Stored?
- Date Functions
- Date Conversions
- Summary
- Q&A
- Workshop
- Part IV: Building Sophisticated Database Queries
- Hour 13. Joining Tables in Queries
- Selecting Data from Multiple Tables
- Types of Joins
- Join Considerations
- Summary
- Q&A
- Workshop
- Hour 14. Using Subqueries to Define Unknown Data
- What Is a Subquery?
- Embedding a Subquery Within a Subquery
- Summary
- Q&A
- Workshop
- Hour 15. Combining Multiple Queries into One
- Single Queries Versus Compound Queries
- Why Would I Ever Want to Use a Compound Query?
- Compound Query Operators
- Using an <tt>ORDER BY</tt> with a Compound Query
- Using <tt>GROUP BY</tt> with a Compound Query
- Retrieving Accurate Data
- Summary
- Workshop
- Q&A
- Part V: SQL Performance Tuning
- Hour 16. Using Indexes to Improve Performance
- What Is an Index?
- How Do Indexes Work?
- The <tt>CREATE INDEX</tt> Command
- Types of Indexes
- When Should Indexes Be Considered?
- When Should Indexes Be Avoided?
- Summary
- Q&A
- Workshop
- Hour 17. Improving Database Performance
- What Is SQL Statement Tuning?
- Database Tuning Versus SQL Tuning
- Formatting Your SQL Statement
- Full Table Scans
- Other Performance Considerations
- Performance Tools
- Summary
- Q&A
- Workshop
- Part VI: Using SQL to Manage Users and Security
- Hour 18. Managing Database Users
- Users Are the Reason
- The Management Process
- Tools Utilized by Database Users
- Summary
- Q&A
- Workshop
- Hour 19. Managing Database Security
- What Is Database Security?
- How Does Security Differ from User Management?
- What Are Privileges?
- Controlling User Access
- Controlling Privileges Through Roles
- Summary
- Q&A
- Workshop
- Part VII: Summarized Data Structures
- Hour 20. Creating and Using Views and Synonyms
- What Is a View?
- Creating Views
- Dropping a View
- What Is a Synonym?
- Summary
- Q&A
- Workshop
- Hour 21. Working with the System Catalog
- What Is the System Catalog?
- How Is the System Catalog Created?
- What Is Contained in the System Catalog?
- Examples of System Catalog Tables by Implementation
- Querying the System Catalog
- Updating System Catalog Objects
- Summary
- Q&A
- Workshop
- Part VIII: Applying SQL Fundamentals in Today's World
- Hour 22. Advanced SQL Topics
- Advanced Topics
- Cursors
- Stored Procedures and Functions
- Triggers
- Dynamic SQL
- Call-Level Interface
- Using SQL to Generate SQL
- Direct Versus Embedded SQL
- Summary
- Q&A
- Workshop
- Hour 23. Extending SQL to the Enterprise, the Internet, and the Intranet
- SQL and the Enterprise
- Accessing a Remote Database
- Accessing a Remote Database Through a Web Interface
- SQL and the Internet
- SQL and the Intranet
- Summary
- Q&A
- Workshop
- Hour 24. Extensions to Standard SQL
- Various Implementations
- Examples of Extensions from Some Implementations
- Interactive SQL Statements
- Summary
- Q&A
- Workshop
- Part IX: Appendixes
- Appendix A. Common SQL Commands
- SQL Statements
- SQL Clauses
- Appendix B. Using MySQL for Exercises
- Windows Installation Instructions
- Linux Installation Instructions
- Appendix C. Answers to Quizzes and Exercises
- Hour 1, "Welcome to the World of SQL"
- Hour 2, "Defining Data Structures"
- Hour 3, "Managing Database Objects"
- Hour 4, "The Normalization Process"
- Hour 5, "Manipulating Data"
- Hour 6, "Managing Database Transactions"
- Hour 7, "Introduction to the Database Query"
- Hour 8, "Using Operators to Categorize Data"
- Hour 9, "Summarizing Data Results from a Query"
- Hour 10, "Sorting and Grouping Data"
- Hour 11, "Restructuring the Appearance of Data"
- Hour 12, "Understanding Dates and Time"
- Hour 13, "Joining Tables in Queries"
- Hour 14, "Using Subqueries to Define Unknown Data"
- Hour 15, "Combining Multiple Queries into One"
- Hour 16, "Using Indexes to Improve Performance"
- Hour 17, "Improving Database Performance"
- Hour 18, "Managing Database Users"
- Hour 19, "Managing Database Security"
- Hour 20, "Creating and Using Views and Synonyms"
- Hour 21, "Working with the System Catalog"
- Hour 22, "Advanced SQL Topics"
- Hour 23, "Extending SQL to the Enterprise, the Internet, and the Intranet"
- Hour 24, "Extensions to Standard SQL"
- Appendix D. <tt>CREATE TABLE</tt> Statements for Book Examples
- <tt>EMPLOYEE_TBL</tt>
- <tt>EMPLOYEE_PAY_TBL</tt>
- <tt>CUSTOMER_TBL</tt>
- <tt>ORDERS_TBL</tt>
- <tt>PRODUCTS_TBL</tt>
- Appendix E. <tt>INSERT</tt> Statements for Data in Book Examples
- <tt>INSERT</tt> Statements
- Appendix F. Glossary
- Appendix G. Bonus Exercises
Examples of Simple Queries
This section provides several examples of queries based on the concepts that have been discussed. The hour begins with the simplest query you can issue, and builds upon the initial query progressively. You use the EMPLOYEE_TBL table.
Selecting all records from a table and displaying all columns:
SELECT * FROM EMPLOYEE_TBL;
Selecting all records from a table and displaying a specified column:
SELECT EMP_ID FROM EMPLOYEE_TBL;
Selecting all records from a table and displaying a specified column. You can enter code on one line or use a carriage return as desired:
SELECT EMP_ID FROM EMPLOYEE_TBL;
Selecting all records from a table and displaying multiple columns separated by commas:
SELECT EMP_ID, LAST_NAME FROM EMPLOYEE_TBL;
Displaying data for a given condition:
SELECT EMP_ID, LAST_NAME FROM EMPLOYEE_TBL WHERE EMP_ID = '333333333';
Displaying data for a given condition and sorting the output:
SELECT EMP_ID, LAST_NAME FROM EMPLOYEE_TBL WHERE CITY = 'INDIANAPOLIS' ORDER BY EMP_ID;
Displaying data for a given condition and sorting the output on multiple columns, one column sorted in reverse order:
SELECT EMP_ID, LAST_NAME FROM EMPLOYEE_TBL WHERE CITY = 'INDIANAPOLIS' ORDER BY EMP_ID, LAST_NAME DESC;
Displaying data for a given condition and sorting the output using an integer in the place of the spelled-out column name:
SELECT EMP_ID, LAST_NAME FROM EMPLOYEE_TBL WHERE CITY = 'INDIANAPOLIS' ORDER BY 1;
Displaying data for a given condition and sorting the output by multiple columns using integers, the order of the columns in the sort is different than their corresponding order after the SELECT keyword:
SELECT EMP_ID, LAST_NAME FROM EMPLOYEE_TBL WHERE CITY = 'INDIANAPOLIS' ORDER BY 2, 1;
Counting the Records in a Table
A simple query can be issued on a table to get a quick count of the number of records in the table or on the number of values for a column in the table. A count is accomplished by the function COUNT. Although functions are not discussed until later in this book, this function should be introduced here because it is often a part of one of the simplest queries that you can create.
The syntax of the COUNT function is as follows:
SELECT COUNT(*) FROM TABLE_NAME;
The COUNT function is used with parentheses, which are used to enclose the target column to count or the asterisk to count all rows of data in the table.
Counting the number of records in the PRODUCTS_TBL table:
SELECT COUNT(*) FROM PRODUCTS_TBL; COUNT(*) ---------- 9 1 row selected.
Counting the number of values for PROD_ID in the PRODUCTS_TBL table:
SELECT COUNT(PROD_ID) FROM PRODUCTS_TBL; COUNT(PROD_ID) --------------- 9 1 row selected.
Selecting Data from Another User's Table
Permission must be granted to a user to access another user's table. If no permission has been granted, access is not allowed. You can select data from another user's table after access has been granted (the GRANT command is discussed in Hour 20, "Creating and Using Views and Synonyms") to select from another user's table. To access another user's table in a SELECT statement, you must precede the table name with the schema name or the username that owns (created) the table, as in the following example:
SELECT EMP_ID FROM SCHEMA.EMPLOYEE_TBL;
Column Aliases
Column aliases are used to rename a table's columns for the purpose of a particular query. The PRODUCTS_TBL illustrates the use of column aliases. |
SELECT COLUMN_NAME ALIAS_NAME FROM TABLE_NAME;
The following example displays the product description twice, giving the second column an alias named PRODUCT. Notice the column headers in the output.
SELECT PROD_DESC, PROD_DESC PRODUCT FROM PRODUCTS_TBL; PROD_DESC PRODUCT ------------------------- ------------------------ WITCHES COSTUME WITCHES COSTUME PLASTIC PUMPKIN 18 INCH PLASTIC PUMPKIN 18 INCH FALSE PARAFFIN TEETH FALSE PARAFFIN TEETH LIGHTED LANTERNS LIGHTED LANTERNS ASSORTED COSTUMES ASSORTED COSTUMES CANDY CORN CANDY CORN PUMPKIN CANDY PUMPKIN CANDY PLASTIC SPIDERS PLASTIC SPIDERS ASSORTED MASKS ASSORTED MASKS KEY CHAIN KEY CHAIN OAK BOOKSHELF OAK BOOKSHELF 11 rows selected.
Column aliases can be used to customize names for column headers, and can also be used to reference a column with a shorter name in some SQL implementations.