Splunk Cloud

# 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.

## abs(X)

### Description

This function takes a number X 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(X) or ceil(X)

### Description

This function rounds a number X 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(X)` instead of the full name of the function.

### Basic example

The following example returns n=2.

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

## exact(X)

### Description

This function renders the result of a numeric eval calculation 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(X)

### Description

This function takes a number X and returns the exponential function `eX`.

### Usage

You can use this function with the `eval`, `fieldformat`, and `where` commands, and as part of eval expressions.

### Basic example

The following example returns y=e3.

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

## floor(X)

### Description

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

### Usage

You can use this function with the `eval`, `fieldformat`, and `where` commands, and as part of eval expressions.

### Basic example

The following example returns 1.

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

## ln(X)

### Description

This function takes a number X and returns its natural logarithm.

### Usage

You can use this function with the `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(X,Y)

### Description

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

### Usage

You can use this function with the `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

You can use this function with the `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(X,Y)

### Description

This function takes two numeric arguments X and Y and returns XY, X to the power of Y.

### Usage

You can use this function with the `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(X,Y)

### Description

This function takes one or two numeric arguments X and Y, returning X rounded to the amount of decimal places specified by Y. The default is to round to an integer.

### Usage

You can use this function with the `eval`, `fieldformat`, and `where` commands, and as part of eval expressions.

### 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(X)

### Description

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

### Usage

You can use this function with the `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(X)

### Description

This function takes one numeric argument X and returns its square root.

### Usage

You can use this function with the `eval`, `fieldformat`, and `where` commands, and as part of eval expressions.

### Basic example

The following example returns 3:

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

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This documentation applies to the following versions of Splunk Cloud: 6.6.3, 8.0.1, 7.0.0, 7.0.11, 7.0.2, 7.0.5, 7.1.3, 7.0.3, 7.0.8, 7.1.6, 7.2.3, 7.2.4, 7.2.6, 7.2.7, 7.2.8, 7.2.9, 8.0.0

The round function appears to (more or less) support negative integer values for "Y" but this is not documented. EITHER: The sort-of-support should be eliminated (in the software code) or the documentation should be updated. See these Q&As:

Woodcock
May 17, 2017

Please try to keep this discussion focused on the content covered in this documentation topic. If you have a more general question about Splunk functionality or are experiencing a difficulty with Splunk, consider posting a question to Splunkbase Answers.

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