# STR (Transact-SQL)

Returns character data converted from numeric data.

## Syntax

```
STR (float_expression [ , length [ ,decimal ] ] )
```

## Arguments

float_expression

Is an expression of approximate numeric (float) data type with a decimal point.length

Is the total length. This includes decimal point, sign, digits, and spaces. The default is 10.decimal

Is the number of places to the right of the decimal point. decimal must be less than or equal to 16. If decimal is more than 16 then the result is truncated to sixteen places to the right of the decimal point.

## Return Types

varchar

## Remarks

If supplied, the values for length and decimal parameters to STR should be positive. The number is rounded to an integer by default or if the decimal parameter is 0. The specified length should be greater than or equal to the part of the number before the decimal point plus the number's sign (if any). A short float_expression is right-justified in the specified length, and a long float_expression is truncated to the specified number of decimal places. For example, STR(12**,**10) yields the result of 12. This is right-justified in the result set. However, STR(1223**,**2) truncates the result set to **. String functions can be nested.

Note

To convert to Unicode data, use STR inside a CONVERT or CAST conversion function.

## Examples

The following example converts an expression that is made up of five digits and a decimal point to a six-position character string. The fractional part of the number is rounded to one decimal place.

```
SELECT STR(123.45, 6, 1);
GO
```

Here is the result set.

```
------
123.5
(1 row(s) affected)
```

When the expression exceeds the specified length, the string returns ** for the specified length.

```
SELECT STR(123.45, 2, 2);
GO
```

Here is the result set.

```
--
(1 row(s) affected)
```

Even when numeric data is nested within STR, the result is character data with the specified format.

```
SELECT STR (FLOOR (123.45), 8, 3;)
GO
```

Here is the result set.

```
--------
123.000
(1 row(s) affected)
```