# Precision, scale, and Length (Transact-SQL)

**APPLIES TO:** SQL Server Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse

Precision is the number of digits in a number. Scale is the number of digits to the right of the decimal point in a number. For example, the number 123.45 has a precision of 5 and a scale of 2.

In SQL Server, the default maximum precision of **numeric** and **decimal** data types is 38. In earlier versions of SQL Server, the default maximum is 28.

Length for a numeric data type is the number of bytes that are used to store the number. For varchar and char, the length of a character string is the number of bytes. For nvarchar and nchar, the length of the character string is the number of byte-pairs. The length for **binary**, **varbinary**, and **image** data types is the number of bytes. For example, an **int** data type can hold 10 digits, is stored in 4 bytes, and doesn't accept decimal points. The **int** data type has a precision of 10, a length of 4, and a scale of 0.

When concatenating 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.

When concatenating 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 comparing 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.

The precision and scale of the numeric data types besides **decimal** are fixed. When an arithmetic operator has two expressions of the same type, the result has the same data type with the precision and scale defined for that type. If an operator has two expressions with different numeric data types, the rules of data type precedence define the data type of the result. The result has the precision and scale defined for its data type.

The following table defines how the precision and scale of the result are calculated when the result of an operation is of type **decimal**. The result is **decimal** when either:

- Both expressions are
**decimal**. - One expression is
**decimal**and the other is a data type with a lower precedence than**decimal**.

The operand expressions are denoted as expression e1, with precision p1 and scale s1, and expression e2, with precision p2 and scale s2. The precision and scale for any expression that is not **decimal** is the precision and scale defined for the data type of the expression. The function max(a,b) means the following: take the greater value of "a" or "b". Similarly, min(a,b) indicates to take the smaller value of "a" or "b".

Operation | Result precision | Result scale * |
---|---|---|

e1 + e2 | max(s1, s2) + max(p1-s1, p2-s2) + 1 | max(s1, s2) |

e1 - e2 | max(s1, s2) + max(p1-s1, p2-s2) + 1 | max(s1, s2) |

e1 * e2 | p1 + p2 + 1 | s1 + s2 |

e1 / e2 | p1 - s1 + s2 + max(6, s1 + p2 + 1) | max(6, s1 + p2 + 1) |

e1 { UNION | EXCEPT | INTERSECT } e2 | max(s1, s2) + max(p1-s1, p2-s2) | max(s1, s2) |

e1 % e2 | min(p1-s1, p2 -s2) + max( s1,s2 ) | max(s1, s2) |

* The result precision and scale have an absolute maximum of 38. When a result precision is greater than 38, it's reduced to 38, and the corresponding scale is reduced to try to prevent truncating the integral part of a result. In some cases such as multiplication or division, scale factor won't be reduced, to maintain decimal precision, although the overflow error can be raised.

In addition and subtraction operations, we need `max(p1 - s1, p2 - s2)`

places to store integral part of the decimal number. If there isn't enough space to store them that is, `max(p1 - s1, p2 - s2) < min(38, precision) - scale`

, the scale is reduced to provide enough space for integral part. Resulting scale is `MIN(precision, 38) - max(p1 - s1, p2 - s2)`

, so the fractional part might be rounded to fit into the resulting scale.

In multiplication and division operations, we need `precision - scale`

places to store the integral part of the result. The scale might be reduced using the following rules:

- The resulting scale is reduced to
`min(scale, 38 - (precision-scale))`

if the integral part is less than 32, because it can't be greater than`38 - (precision-scale)`

. Result might be rounded in this case. - The scale won't be changed if it's less than 6 and if the integral part is greater than 32. In this case, overflow error might be raised if it can't fit into decimal(38, scale)
- The scale will be set to 6 if it's greater than 6 and if the integral part is greater than 32. In this case, both integral part and scale would be reduced and resulting type is decimal(38,6). Result might be rounded to 6 decimal places or the overflow error will be thrown if the integral part can't fit into 32 digits.

## Examples

The following expression returns result `0.00000090000000000`

without rounding, because result can fit into `decimal(38,17)`

:

```
select cast(0.0000009000 as decimal(30,20)) * cast(1.0000000000 as decimal(30,20)) [decimal 38,17]
```

In this case precision is 61, and scale is 40.
Integral part (precision-scale = 21) is less than 32, so this case is case (1) in multiplication rules and scale is calculated as `min(scale, 38 - (precision-scale)) = min(40, 38 - (61-40)) = 17`

. Result type is `decimal(38,17)`

.

The following expression returns result `0.000001`

to fit into `decimal(38,6)`

:

```
select cast(0.0000009000 as decimal(30,10)) * cast(1.0000000000 as decimal(30,10)) [decimal(38, 6)]
```

In this case precision is 61, and scale is 20.
Scale is greater than 6 and integral part (`precision-scale = 41`

) is greater than 32. This case is case (3) in multiplication rules and result type is `decimal(38,6)`

.