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The ANSI/ISO SQL standard specifies the various types of data that can be stored in a SQL-based database and manipulated by the SQL language. The original SQL1 standard specified only a minimal set of data types. The SQL2 standard expanded this list to include variable-length character strings, date and time data, bit strings, and other types. Today s commercial DBMS products can process a rich variety of different kinds

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PRIMARY KEY constraint A primary key constraint on a column declares the column as the primary key of the table, which requires that the column data contain no null values and contain unique values within the table. As with a unique constraint, most DBMSs automatically create an index to assist in checking for unique column data values. Here is the syntax and an example for a column primary key constraint:

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of data, and there is considerable diversity in the particular data types supported across different DBMS brands Typical data types include the following: I Integers Columns holding this type of data typically store counts, quantities, ages, and so on Integer columns are also frequently used to contain ID numbers, such as customer, employee, and order numbers I Decimal numbers Columns with this data type store numbers that have fractional parts and must be calculated exactly, such as rates and percentages They are also frequently used to store money amounts I Floating point numbers Columns with this data type are used to store scientific numbers that can be calculated approximately, such as weights and distances Floating point numbers can represent a larger range of values than decimal numbers but can produce round-off errors in computations I Fixed-length character strings.

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Columns holding this type of data typically store names of people and companies, addresses, descriptions, and so on I Variable-length character strings This data type allows a column to store character strings that vary in length from row to row, up to some maximum length (The SQL1 standard permitted only fixed-length character strings, which are easier for the DBMS to process but can waste considerable space) I Money amounts Many SQL products support a MONEY or CURRENCY type, which is usually stored as a decimal or floating point number Having a distinct money type allows the DBMS to properly format money amounts when they are displayed I Dates and times Support for date/time values is also common in SQL products, although the details can vary considerably from one product to another Various combinations of dates, times, timestamps, time intervals, and date/time arithmetic are generally supported.

Table 10-2

The SQL2 standard includes an elaborate specification for DATE, TIME, TIMESTAMP, and INTERVAL data types, including support for time zones and time precision (for example, tenths or hundredths of seconds) I Boolean data Some SQL products, such as Informix Dynamic Server, support logical (TRUE or FALSE) values as an explicit type, and some permit logical operations (comparison, AND/OR, and so on) on the stored data within SQL statements I Long text Several SQL-based databases support columns that store long text strings (typically up to 32,000 or 65,000 characters, and in some cases even larger) This allows the database to store entire documents, product descriptions, technical papers, resum s, and similar unstructured text data The DBMS usually restricts the use of these columns in interactive queries and searches I Unstructured byte streams Several DBMS products allow unstructured, variablelength sequences of bytes to be stored and retrieved Columns containing this data.

5:

Referential (FOREIGN KEY) constraint A referential constraint on a column (sometimes called a foreign key constraint) de nes the relationship between a foreign key and a primary key so that the DBMS may guarantee that the foreign key value, when not null, always references an existing primary key value. The syntax for a column referential constraint is

Figure 23-4.

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