# SQRT function
<a name="SQRT"></a>

 The SQRT function returns the square root of a numeric value. The square root is a number multiplied by itself to get the given value.

## Syntax
<a name="SQRT-synopsis"></a>

```
SQRT (expression)
```

## Argument
<a name="SQRT-argument"></a>

 *expression*   
The expression must have an integer, decimal, or floating-point data type. The expression can include functions. The system might perform implicit type conversions. 

## Return type
<a name="SQRT-return-type"></a>

SQRT returns a DOUBLE PRECISION number.

## Examples
<a name="SQRT-examples"></a>

The following example returns the square root of a number. 

```
select sqrt(16);
               
sqrt
---------------
4
```

The following example performs an implicit type conversion.

```
select sqrt('16');
               
sqrt
---------------
4
```

The following example nests functions to perform a more complex task. 

```
select sqrt(round(16.4)); 

sqrt
---------------
4
```

The following example results in the length of the radius when given the area of a circle. It calculates the radius in inches, for instance, when given the area in square inches. The area in the sample is 20. 

```
select sqrt(20/pi());
```

This returns the value 5.046265044040321.

The following example returns the square root for COMMISSION values from the SALES table. The COMMISSION column is a DECIMAL column. This example shows how you can use the function in a query with more complex conditional logic. 

```
select sqrt(commission)
from sales where salesid < 10 order by salesid;

sqrt
------------------
10.4498803820905
3.37638860322683
7.24568837309472
5.1234753829798
...
```

The following query returns the rounded square root for the same set of COMMISSION values. 

```
select salesid, commission, round(sqrt(commission))
from sales where salesid < 10 order by salesid;

salesid | commission | round
--------+------------+-------
      1 |     109.20 |    10
      2 |      11.40 |     3
      3 |      52.50 |     7
      4 |      26.25 |     5
...
```

For more information about sample data in AWS Clean Rooms, see [Sample database](https://docs.aws.amazon.com/redshift/latest/dg/c_sampledb.html).