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sql_variant: just say no
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The sql_variant data type, new in SQL Server 2005, is a dangerous data type that, in my opinion, should never have been added to SQL Server. This data type enables you to declare a column or variable without having to decide what type of data will be stored in it. The sql_variant data type then automatically converts itself into the type of data that is written into it. Databases are useful because all data is explicitly declared and explicitly typed. By allowing a data type that has no defined type, all kinds of data-mismatch issues can arise. We very strongly recommend that you never use sql_variant.
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For more information about the sql_variant data type, see the SQL Server 2005 Books Online article sql_variant (Transact-SQL).
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What are the six categories of standard data types that you can use to define columns in tables, and what is the general purpose of each category Exact numeric data types store precise integer or decimal values. Approximate numeric data types store floating-point numbers. Monetary data types store currency accurate to four decimal places. Datetime data types store dates and times. Character data types store text values. Binary data types store binary streams, normally files.
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Nullability
The second characteristic of any column definition is whether it requires a value to be stored. Databases have a special construct called a null that you can use to denote the absence of a value something similar to unknown or not applicable. A null is not a value, nor does it consume storage. The best way to understand this construct is to look at an example. Let s say that you are designing a table to store addresses of your company s customers. You have decided that each address can have up to three lines for the street address. Each address can also have a city, a state or province, a postal code, and a country. So you create a table that contains seven columns. Not every customer needs all three address lines to capture the street address, so one or two of these columns are not necessary for some addresses. Some customers live in countries that do not have states or provinces, so this column is also not necessary for every customer. In addition, when users input addresses, they might not know the postal code of certain customers, but they still need to be able to save all of the data that is known. These issues create a basic dilemma. You could stick a dummy value in the columns that either don t have values or the values aren t known when the data was entered. However, inserting dummy data can cause even more problems because you are adding invalid
3
Creating Tables, Constraints, and User-Defined Types
data to your table data that might be seen and used by an employee or customer. Generally, you would have users just omit the data. Because the data was not explicitly specified, it is either unknown or not applicable. In the database, the column would be null to designate this unknown state. When you define columns, you can specify whether or not nulls are allowed. If you disallow nulls, a user is required to specify a value for the column. Note that because it is impossible for the absence of something to equal the absence of something in other words, one null cannot equal another null you cannot use a null in comparisons.
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Nulls
For more details about nulls, see the SQL Server 2005 Books Online article Null Values.
Identity
When defining columns, you also have the ability to specify a special identify property for a single column in a table. Defining a column with the identity property causes SQL Server to generate an automatically incrementing number. The identity property takes two parameters: seed and increment. The seed value designates the starting value that SQL Server uses. The increment value specifies what number SQL Server adds to this starting value when generating each successive value. This property is equivalent to autonumber or autoincrement values in other languages. You can use the identity property with the exact numeric data types: bigint, int, smallint, tinyint, decimal, and numeric. If you use decimal or numeric data types with the identity property, you must define them with 0 decimal places.
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