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This rule prevents you from inserting or updating a quota to a negative value or to a value greater than $500,000. As shown in the example, SQL Server allows you to assign the rule a name (QUOTA_LIMIT, in this example). Like DB2 validation procedures, however, SQL Server rules may not reference columns or other database objects. The SQL2 standard provides extended support for validity checking through two different features column check constraints and domains. Both give the database creator a way to tell the DBMS how to determine whether a data value is valid. The check-constraint feature specifies the data validity test for a single column. The domain feature lets you specify the validity test once, and then reuse it in the definition of many different columns whose legal data values are the same.
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A SQL2 check constraint is a search condition, like the search condition in a WHERE clause, that produces a true/false value. When a check constraint is specified for a column, the DBMS automatically checks the value of that column each time a new row is inserted or a row is updated to ensure that the search condition is true. If not, the INSERT or UPDATE statement fails. A column check constraint is specified as part of the column definition within the CREATE TABLE statement, described in 13.
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Consider this excerpt from a CREATE TABLE statement, modified from the definition of the demo database to include three check constraints:
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CREATE TABLE SALESREPS (EMPL_NUM INTEGER NOT NULL CHECK (EMPL_NUM BETWEEN 101 AND 199), AGE INTEGER CHECK (AGE >= 21), . . . QUOTA MONEY CHECK (MONEY >= 0.0) . . .
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The first constraint (on the EMPL_NUM column) requires that valid employee numbers be three-digit numbers between 101 and 199. The second constraint (on the AGE column) similarly prevents hiring of minors. The third constraint (on the QUOTA column) prevents a salesperson from having a quota target less than $0.00. All three of these column check constraints are very simple examples of the capability specified by the SQL2 standard. In general, the parentheses following the keyword CHECK can contain any valid search condition that makes sense in the context of a column definition. With this flexibility, a check constraint can compare values from two different columns of the table, or even compare a proposed data value against other values from the database. These capabilities are more fully described in the Advanced Constraint Capabilities section later in this chapter.
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A SQL2 domain generalizes the check-constraint concept and allows you to easily apply the same check constraint to many different columns within a database. A domain is a collection of legal data values. You specify a domain and assign it a domain name using the SQL2 CREATE DOMAIN statement, described in 13. As with the check-constraint definition, a search condition is used to define the range of legal data values. For example, here is a SQL2 CREATE DOMAIN statement to create the domain VALID_EMPLOYEE_ID, which includes all legal employee numbers:
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CREATE DOMAIN VALID_EMPLOYEE_ID INTEGER CHECK (VALUE BETWEEN 101 AND 199)
11:
Data Integrity
After the VALID_EMPLOYEE_ID domain has been defined, it may be used to define columns in database tables instead of a data type. Using this capability, the example CREATE TABLE statement for the SALESREPS table would appear as:
CREATE TABLE SALESREPS (EMPL_NUM VALID_EMPLOYEE_ID, AGE INTEGER CHECK (AGE >= 21), . . . QUOTA MONEY CHECK (MONEY >= 0.0) . . .
The advantage of using the domain is that if other columns in other tables also contain employee numbers, the domain name can be used repeatedly, simplifying the table definitions. The OFFICES table contains such a column:
CREATE TABLE (OFFICE CITY REGION MGR TARGET SALES . . . OFFICES INTEGER NOT NULL, VARCHAR(15) NOT NULL, VARCHAR(10) NOT NULL, VALID_EMPLOYEE_ID, MONEY, MONEY NOT NULL
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