barcode generator in vb.net code project Numeric Data Types in Software

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As the name suggests, numeric data types hold only numbers. They are most useful for attributes that will be used in calculations. As a general rule, most database designers use numeric types only when the attribute will be used in mathematical calculations, such as prices, quantities, and tax rates. Character strings, while
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CHAPTER 3 De ning Database Objects Using SQL
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horribly inef cient for calculations, offer greater exibility in SQL queries, so character types are preferred for numeric strings that will never be used in calculations, such as employee numbers, phone numbers, and product numbers. A common exception, however, is primary key columns where the values are automatically generated by the DBMS these must always be numeric data types because the DBMS must increment the last value used for each new table row. All numeric types have a precision (number of digits). Some numeric types also have a scale (the number of digits to the right of the decimal point). Integers and numeric types that include a scale are called exact numeric types, while real numbers that do not include a scale (basically oating point numbers) are called approximate numeric types. The standard numeric types are Numeric An exact numeric type that includes a precision and scale. The SQL syntax is
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NUMERIC(precision,scale) Example: EMPLOYEE_HOURLY_RATE NUMERIC(5,2)
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Decimal An exact numeric type that includes a precision and scale. However, the precision actually used by the DBMS will be equal to or greater than the precision speci ed. This is a subtle difference compared with NUMERIC, intended to allow the DBMS type to be mapped to a data type native to the platform on which the DBMS runs, which likely has prede ned precision and scale. (A platform is a combination of an operating system and computer hardware, such as Windows XP on Intel, Linux on Intel, or Solaris on Sun.) The SQL syntax is
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DECIMAL(precision,scale) Example: EMPLOYEE_HOURLY_RATE DECIMAL(5,2)
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Integer An exact numeric type that includes only a precision, written as INTEGER or INT. Integers do not have decimal places, so a scale is not necessary because it is understood to be zero. The standard does not specify the smallest and largest data values allowed by the integer data type, so you need to check the upper limit in your DBMS documentation. The SQL syntax is
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INTEGER(precision) | INT(precision) Example: CUSTOMER_ACCOUNT_ID INTEGER
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Small integer A variation of the integer type, written as SMALLINT, that holds smaller numbers and therefore takes less space. The standard only speci es that the precision of SMALLINT be less than or equal to
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SQL Demysti ed
the precision of INT, so you need to check your DBMS documentation for details. The SQL syntax is
SMALLINT(precision) Example: CUSTOMER_ACCOUNT_ID SMALLINT
Big integer A variation of the integer type, written as BIGINT, that holds larger numbers and therefore takes more space. The standard only speci es that the precision of BIGINT be greater than or equal to the precision of INT, so again you need to check your DBMS documentation for details. The SQL syntax is
BIGINT(precision) Example: CUSTOMER_ACCOUNT_ID BIGINT
Float An approximate numeric type implemented with precision greater than or equal to the speci ed precision. The precision speci cation is optional. On supported platforms, FLOAT is usually implemented using oating-point numbers. The SQL syntax is
FLOAT[(precision)] Examples: INTEREST_RATE INTEREST_RATE FLOAT(16) FLOAT
Real An approximate numeric type with an implementation-de ned precision. You need to check the DBMS documentation for details. The SQL syntax is
REAL Example: INTEREST_RATE REAL
Double precision An approximate numeric type with an implementationde ned precision that is greater than the implementation-de ned precision for REAL. Again, check the DBMS documentation for details. The SQL syntax is
DOUBLE PRECISION | DOUBLE Example: INTEREST_RATE DOUBLE PRECISION
Temporal Data Types
As the name suggests, temporal data types (also called datetime types) store data that measures time in some way. As mentioned earlier, standards for these data types lagged behind commercial databases, so most DBMSs do not completely conform to the standard. I strongly recommend that you read up on these in your DBMS documentation before attempting to use them.
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