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CREATE TABLE ##CustomerAddress
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(CustomerAddressID int AddressType char(4) IDENTITY(1,1),
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NULL)
IDENTITY(1,1),
NOT NULL,
12
Designing the Physical Database
PrimaryAddressFlag AddressLine1 AddressLine2 AddressLine3 City StateProvinceID PostalCode CountryID
bit varchar(30) varchar(30) varchar(30) varchar(50) int char(10) int
NOT NULL, NOT NULL, NULL, NULL, NOT NULL, NULL, NULL, NULL)
NOTE
Using temporary tables
Temporary objects are generally overused as well as misused. SQL Server is a set-oriented lan guage, but many developers design stored procedures that sequentially process information. To do so, they usually pull data into a temporary table and then use that temporary table to move data into yet other temporary tables. The population process can involve aggregations or filtering mechanisms. What is usually missed is that the Transact-SQL language generally enables you to perform all these operations in a single step. When using temporary tables, you need to read the data out, write it into a temporary table, and then read it back out at a minimum. It is much more efficient to simply read the data once and return it to applications.
Table Variables
Table variables provide an alternative to temporary tables and can be used in func tions, triggers, and stored procedures. Instead of storing the table and all data within the table in the tempdb database on disk, a table variable and all associated data are stored in memory. However, if the amount of data placed into the table variable causes it to require more storage space than is available in memory, the overflow will be spooled to disk within tempdb. Table variables are local to the function, trigger, or stored procedure they were created in and are automatically deallocated when the object is exited. The customer address table defined previously can be created as a table variable as follows:
DECLARE @CustomerAddress TABLE
(CustomerAddressID int AddressType char(4) PrimaryAddressFlag bit AddressLine1 varchar(30) AddressLine2 varchar(30) AddressLine3 varchar(30) City varchar(50) StateProvinceID int PostalCode char(10) CountryID int IDENTITY(1,1),
NOT NULL,
NOT NULL,
NOT NULL,
NULL,
NULL,
NOT NULL,
NULL,
NULL,
NULL)
Lesson 1: Designing Database Tables
BEST PRACTICES
Memory allocation
A table variable uses memory space within the data cache. Having large numbers of table variables in memory limits the amount of data that can be cached, thereby affecting the overall performance of applications. You should minimize the use of table variables, just as you limit the use of tempo rary tables while also limiting the number of rows that are stored in such objects.
Constraints
Designing a database is really an exercise in implementing business rules. You might not have realized it, but the entire column definition in the previous example imple mented a variety of business rules. An example of a business rule implemented was that although a customer could have more than one address, an address was not valid unless there was 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 outside of the allowed boundaries. An example of this type of business rule is that a credit line is not allowed to exceed 50,000 or that the only countries that are allowed have to exist in a standardized list.
Check Constraints
You use check constraints to limit the range or possible values in a column or to enforce specific patterns for data. All check constraints must evaluate to a Boolean or True/False and cannot reference columns in another table. You can create check constraints at two different levels. Column-level check con straints are applied only to the column and cannot reference data in another column. Table-level check constraints can reference any column within a table but cannot ref erence columns in other tables. The most basic constraint compares the data in a column to a value. For example: CHECK CreditLine <= 50000. Any number of check constraints can be created and separated by AND, OR, and NOT to create more complex conditions. You can also use check constraints to enforce patterns within data. An example of this is an EmployeeID that is required to start with an uppercase letter, then three digits, and then six additional letters. Another example is requiring an e-mail address to con tain any number of characters or digits, an @ symbol, a number of characters or digits, a period (.), and then either three characters or two characters + a period (.) + two more characters.
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