# Mathematical functions

The following list contains the functions that you can use to perform mathematical calculations.

- For information about using string and numeric fields in functions, and nesting functions, see Evaluation functions.

- For the list of mathematical operators you can use with these functions, see "Operators" in the Usage section of the eval command.

## abs(<num>)

### Description

This function takes a number and returns its absolute value.

### Usage

You can use this function with the `eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

The following example creates a field called `absnum`

, whose values are the absolute values of the numeric field `number`

.

`... | eval absnum=abs(number)`

## ceiling(<num>) or ceil(<num>)

### Description

This function rounds a number up to the next highest integer.

### Usage

You can use this function with the `eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

You can use the abbreviation `ceil`

instead of the full name of the function.

### Basic example

The following example returns n=2.

`... | eval n=ceil(1.9)`

## exact(<expression>)

### Description

This function renders the result of a numeric expression with a larger amount of precision in the formatted output.

### Usage

You can use this function with the `eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

`... | eval n=exact(3.14 * num)`

## exp(<num>)

### Description

This function takes a number and returns the exponential function `e`

.
^{N}

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

The following example returns y=e^{3}.

`... | eval y=exp(3)`

## floor(<num>)

### Description

This function rounds a number down to the nearest whole integer.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

The following example returns 1.

`... | eval n=floor(1.9)`

## ln(<num>)

### Description

This function takes a number and returns the natural logarithm.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

The following example returns the natural logarithm of the values of bytes.

`... | eval lnBytes=ln(bytes)`

## log(<num>,<base>)

### Description

This function takes either one or two numeric arguments and returns the logarithm of the first argument <num> using the second argument <base>. If the second argument <base> is omitted, this function evaluates the logarithm of number with base 10.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

`... | eval num=log(number,2)`

## pi()

### Description

This function takes no arguments and returns the constant *pi* to 11 digits of precision.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

The following example calculates the area of a circle, which is `pi()`

multiplied by the radius to the power of 2.

`... | eval area_circle=pi()*pow(radius,2)`

## pow(<num>,<exp>)

### Description

This function takes two numeric arguments <num> and <exp> and returns <num>^{<base>}, <num> to the power of <base>.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

The following example calculates the area of a circle, which is pi() multiplied by the radius to the power of 2.

`... | eval area_circle=pi()*pow(radius,2)`

## round(<num>,<precision>)

### Description

This function takes one or two numeric arguments <num> and <precision>, returning <num> rounded up to the amount of decimal places specified by <precision>. The default is to round up to an integer.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

You cannot specify a negative number for the decimal places.

### Basic examples

The following example returns n=4.

`... | eval n=round(3.5)`

The following example returns n=2.56.

`... | eval n=round(2.555, 2)`

## sigfig(<num>)

### Description

This function takes one argument, a number, and rounds that number to the appropriate number of significant figures.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

The computation for `sigfig`

is based on the type of calculation that generates the number.

- For multiplication and division, the result should have the minimum number of significant figures of all of the operands.
- For addition and subtraction, the result should have the same number of decimal places as the least precise number of all of the operands.

For example, the numbers 123.0 and 4.567 contain different precision with the decimal places. The first number is less precise because it has 1 decimal place. The second number is more precise because it has 3 decimal places.

If the calculation is 123.0 + 4.567 = 127.567, then the `sigfig`

function returns the fewest number of decimal places. In this example only one decimal place is returned. Because the numbers to the right of the last significant figure are greater than 5, the result returned is 127.6

### Basic examples

**Example 1**: The following example shows how the `sigfig`

function works. The calculation `1.00*1111`

returns the value `n=1111`

, but the following search using the `sigfig`

function returns `n=1110`

.

`... | eval n=sigfig(1.00*1111)`

In this example, 1.00 has 3 significant figures and 1111 has 4 significant figures. In this example, the minimum number of significant figures for all operands is 3. Using the `sigfig`

function, the final result is rounded to 3 digits, returning n=1110 and not 1111.

**Example 2**: There are situations where the results of a calculation can return a different accuracy to the very far right of the decimal point. For example, the following search calculates the average of 100 values:

`| makeresults count=100 | eval test=3.99 | stats avg(test)`

The result of this calculation is:

avg(test) |
---|

3.9900000000000055 |

When the count is changed to 10000, the results are different:

`| makeresults count=10000 | eval test=3.99 | stats avg(test)`

The result of this calculation is:

avg(test) |
---|

3.990000000000215 |

This occurs because numbers are treated as double-precision floating-point numbers.

To mitigate this issue, you can use the `sigfig`

function to specify the number of significant figures you want returned.

However, first you need to make a change to the `stats`

command portion of the search. You need to change the name of the field `avg(test)`

to remove the parenthesis. For example `stats avg(test) AS test`

. The `sigfig`

function expects either a number or a field name for X. The `sigfig`

function cannot accept a field name that looks like another function, in this case `avg`

.

To specify the number of decimal places you want returned, you multiply the field name by 1 and use zeros to specify the number of decimal places. If you want 4 decimal places returned, you would multiply the field name by 1.0000. To return 2 decimal places, multiply by 1.00, as shown in the following example:

`| makeresults count=10000 | eval test=3.99 | stats avg(test) AS test | eval new_test=sigfig(test*1.00)`

The result of this calculation is:

test |
---|

3.99 |

## sqrt(<num>)

### Description

This function takes one numeric argument <num> and returns its square root.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic example

The following example returns 3:

`... | eval n=sqrt(9)`

## sum(<num>,...)

### Description

This function takes an arbitrary number of arguments and returns the sum of numerical values as an integer. Each argument must be either a field (single or multi value) or an expression that evaluates to a number. At least one numeric argument is required. When the function is applied to a multivalue field, each numeric value of the field is included in the total. The `eval`

command ignores arguments that don't exist in an event or can't be converted to a number.

### Usage

`eval`

, `fieldformat`

, and `where`

commands, and as part of eval expressions.

### Basic examples

**Example 1**: The following example creates a field called `a`

with value 5.0, a field called `b`

with value 9, and a field called `x`

with value 14 that is the sum of `a`

and `b`

. A field is not created for `c`

and it is not included in the sum because a value was not declared for that argument.

`... | eval a = 5.0, b = "9", x = sum(a, b, c)`

**Example 2**: The following example calculates the sum of three numbers and returns c=6.

`... | eval c=sum(1, 2, 3)`

However, the following example returns an error because one of the arguments in the function is a string.

`... | eval c=sum(1, 2, "3")`

To use a quoted string as a number within the function, you must convert the number to an integer, as shown in the following example that returns c=6.

`... | eval c=sum(1, 2, tonumber("3"))`

**Example 3**: In this example, a field with a value that is a string results in a field called `a`

with value 1, and a field called `c`

with value 6,

`... | eval a="1", c=sum(a, 2, 3)`

**Example 4**: When an argument is a field, the `eval`

command retrieves the value and attempts to treat it as a number, even if it is a string. The following example creates a field called `a`

with value somedata, and a field called `c`

with value 5.

`... | eval a="somedata", c=sum(a, 2, 3)`

However, the following example returns an error because the string argument is specified directly within the function.

`... | eval c=sum("somedata", 2, 3)`

JSON functions | Multivalue eval functions |

This documentation applies to the following versions of Splunk^{®} Enterprise:
8.1.0, 8.1.1, 8.1.2, 8.1.3, 8.1.4, 8.1.5, 8.1.6, 8.1.7, 8.1.8, 8.1.9, 8.1.10, 8.1.11, 8.1.12, 8.1.13, 8.1.14, 8.2.0, 8.2.1, 8.2.2, 8.2.3, 8.2.4, 8.2.5, 8.2.6, 8.2.7, 8.2.8, 8.2.9, 8.2.10, 8.2.11, 8.2.12, 9.0.0, 9.0.1, 9.0.2, 9.0.3, 9.0.4, 9.0.5, 9.0.6, 9.0.7, 9.0.8, 9.0.9, 9.0.10, 9.1.0, 9.1.1, 9.1.2, 9.1.3, 9.1.4, 9.1.5, 9.2.0, 9.2.1, 9.2.2, 9.3.0

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