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Database context
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This practice can be done in either the AdventureWorks database or another database of your choice.
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1. Launch SQL Server Management Studio (SSMS), connect to your instance, and then open a new query window. 2. Construct a CREATE TABLE statement for the Customer table as follows:
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CREATE TABLE dbo.Customer (CustomerID int IDENTITY(1,1), CustomerName varchar(50) NOT NULL, CreditLine smallmoney NULL, OutstandingBalance smallmoney NULL, AvailableCredit AS (CreditLine - OutstandingBalance), CreationDate datetime NOT NULL)
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3. Construct a CREATE TABLE statement for the StateProvince table as follows:
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CREATE TABLE dbo.StateProvince (StateProvinceID int StateProvince varchar(50) IDENTITY(1,1), NOT NULL)
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Creating Tables, Constraints, and User-Defined Types
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4. Construct a CREATE TABLE statement for the Country table, as follows:
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CREATE TABLE dbo.Country (CountryID int Country varchar(50) IDENTITY(1,1), NOT NULL)
Lesson Summary
Tables, the building blocks for every database, store all the data in SQL Server. To provide the necessary structure to a table, you must choose between the available numeric, text, datetime, and binary data types so that data can be properly stored. You can also define special properties for columns to allow nulls, define a column as a unique identifier column, and allow a column to store a computation or computed data. After a table is defined, you must grant permissions on the table to allow users to retrieve and manipulate data.
Lesson Review
The following questions are intended to reinforce key information presented in this lesson. The questions are also available on the companion CD if you prefer to review them in electronic form.
NOTE
Answers
Answers to these questions and explanations of why each answer choice is right or wrong are located in the Answers section at the end of the book.
Which data type would you use to store up to 2 GB of text data and still be able to query and manipulate it by using standard functions and operators A. text B. varbinary C. varchar(max) D. varchar
Lesson 2: Implementing Constraints
Lesson 2: Implementing Constraints
Designing a database is really an exercise in implementing business rules. You might not have realized it, but the entire first lesson implemented a variety of business rules. For example, in Lesson 1, we implemented a business rule stating that a customer can have more than one address, but an address is not valid unless there is at least one address line and a city. Constraints provide a second level of business-rule implementation by preventing users from entering data into tables that is outside the allowed boundaries. Examples of this type of business rule include one that prohibits a customer s credit line from exceeding $50,000 and one that prevents users from entering countries that do not exist in a standardized list. This lesson explains the six types of constraints that you can create to enforce business rules and shares best practices for when to implement each type of constraint.
After this lesson, you will be able to:
Implement constraints. Specify the scope of a constraint. Create a new constraint.
Estimated lesson time: 20 minutes
Check Constraints
You use check constraints to limit the range of possible values in a column or to enforce specific patterns for data. All check constraints must evaluate to a Boolean True/False and cannot reference columns in another table. You can create check constraints at two different levels:
Column-level check constraints are applied only to the column and cannot reference data in another other column. Table-level check constraints can reference any column within a table but cannot reference columns in other tables.
The most basic constraint compares the data in a column to a specified value for example, CHECK CreditLine <= 50000. You can create any number of check constraints separated by AND, OR, or NOT to create more complex conditions.
3
Creating Tables, Constraints, and User-Defined Types
You can also use check constraints to enforce patterns within data. Using a check constraint this way, you might enforce the pattern that an EmployeeID is required to start with an uppercase letter, followed by three digits and then six additional letters. Another example is to require an e-mail address to contain, in order, any number of characters or digits, an @ symbol, a number of characters or digits, a period (.), and then either three characters or two characters with a period (.) plus two more characters. The wildcard characters for pattern matching are the underscore (_), which designates one value that can be a character, number, or special character; and a percent symbol (%), which designates any number of characters, numbers, or special characters. For example, a table-level check constraint to validate an e-mail address might look like this:
CONSTRAINT chkEmail CHECK (Email like '%@%.[a-z][a-z][a-z]' or Email like '%@%.[a-z] [a-z].[a-z][a-z]')
A column-level check constraint for the EmployeeID looks like this:
CHECK (EmployeeID like '[A-Z][0-9][0-9][0-9][A-Z][A-Z][A-Z][A-Z][A-Z][A-Z]')
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