The precision and scale of the numeric data types besides decimal are fixed. When you compare two expressions of the same data type but different lengths by using UNION, EXCEPT, or INTERSECT, the resulting length is the longer of the two expressions. When you concatenate two nchar or nvarchar expressions, the length of the resulting expression is the sum of the lengths of the two source expressions, up to 4,000 byte-pairs. When you concatenate two char, varchar, binary, or varbinary expressions, the length of the resulting expression is the sum of the lengths of the two source expressions, up to 8,000 bytes. The int data type has a precision of 10, a length of 4, and a scale of 0. For example, an int data type can hold 10 digits, is stored in 4 bytes, and doesn't accept decimal points. The length for binary, varbinary, and image data types is the number of bytes. For nvarchar and nchar, the length of the character string is the number of byte-pairs. For varchar and char, the length of a character string is the number of bytes. Length for a numeric data type is the number of bytes that are used to store the number. In SQL Server, the default maximum precision of numeric and decimal data types is 38. For example, the number 123.45 has a precision of 5 and a scale of 2. Scale is the number of digits to the right of the decimal point in a number. Precision is the number of digits in a number. We can store values from - 3.40E 38 to 3.Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics Analytics Platform System (PDW) SQL Endpoint in Microsoft Fabric Warehouse in Microsoft Fabric We can store values from - 1.79E 308 to 1.79E 308 floating-point data is approximate therefore not all values in the data type range can be represented exactly. In sql, Approximate numeric data types are used to store numeric data with floating-point i.e.

We can store values from -10^38 1 to 10^38 –1 It’s single Byte integer we can store values from 0 to 255 (Minval: 0, Maxval: 255) It’s single bit integer that can take values of 0, 1 or null Please check the following table for exact numeric data types in sql server. The exact numeric data types in sql are useful to store an integer type of data.

In SQL we have two different types of numeric data types available, those are By using numeric data types we can define columns that accepts only numeric values.įor example, in SQL table if we want to allow users to store only numeric values in a particular column, then we need to define that column as a numeric data type. In SQL, numeric data types are useful whenever we want to insert only numeric values in columns.

Here we will learn what are the numeric data types in sql server and the use of numeric data types and different types of sql numeric data types.

Numeric sql