Calculate metrics in Splunk IAI
As a Splunk IAI administrator, you can create calculated metrics based on other metrics using the formula builder interface.
Create calculated metrics to accomplish the following goals:
 Create a useful metric for analysis, monitoring, or alerting that doesn't exist in your raw data by writing a formula based on one or more raw or calculated metrics.
 Calculate a useful value based on external data sources such as market prices or weather data that you can use for analysis, monitoring, or alerting.
 Convert the units from your raw data into more meaningful units for monitoring or comparing with other metrics. For example, you can create a formula to convert from Fahrenheit to Celsius.
Create a calculated metric
You can calculate metrics for individual assets or for groups of assets. After you save a calculated metric, it becomes available to all Splunk IAI users immediately. Create calculated metrics for groups and assets with unique names to avoid conflicts.
 Select the asset or group that you want to create a calculated metric for.
 From Splunk IAI, select the Browse view.
 To calculate a metric for an asset, select the asset on the Assets tab. To calculate a metric for a group, select the group from the Groups tab, and then click Group Metrics.
 Click Add.
 Type a Name and an optional Description for the metric that you are creating.
 Click Add. Splunk IAI opens the formula builder where you can create your calculated metric.
 Use the browser panel on the left side of Splunk IAI to navigate the metrics and other data available to use as components of your formula.
If your data contains more than 1000 assets, metrics, or alarms for a particular hierarchy node, you can only view the first 1000 results of each type for a particular node. Use the filter to search for the specific asset, metric, or alarm name.
 Use the Assets tab to navigate your assets. You can use any raw or calculated metrics on any asset in your operation in your formula. Click a metric to use it in a formula.
 If you are creating a calculated metric for a group, use the Groups tab to access a list of group metrics for the group that you are creating a metric for. You can use metrics from other groups by browsing to them from the Assets tab. Click a metric to use it in a formula.
 Use the Other tab to search for numeric event data to use in your formula. You must specify an index, and you can narrow your search by sourcetype and keyword. The search returns a list of fields that match your criteria. Click a field to use it in a formula.
 Use the Functions on the right side of Splunk IAI to apply functions and mathematical operations. Click a function or operator to use it in the formula. You cannot type function names manually. Some functions, such as the informational functions, must be used in combination with other functions.
 In the canvas in the center of the screen, type numbers, mathematical symbols, parentheses, and logical operators. Place your cursor in the location you want to add a metric or function from the side panels, or highlight content in order to wrap it in a function. You cannot edit metrics, fields, or functions in this panel. You can only add and remove them.
 Above the formula, specify the time interval for the calculation. The default is 1 minute.
When you analyze your metric in the Analyze view, the timechart displaying the calculated metric uses a span equal to this time interval. When displayed on a monitor view, the calculated metric is computed based on the latest values in this interval of the component metrics.  When you are finished, click Save.
The operator precedence in formulas is as follows:
 Commas in commasupported arguments.
 Parentheses enclosing the functions.
 Multiplication and division, from left to right.
 Addition and subtraction, from left to right.
For more detailed descriptions of each function, see Function reference.
If you try to save a formula for your metric and see a message indicating that you have a syntax error, see Troubleshoot issues creating formulas for calculated metrics.
Validate your formula before you base any alerts, other metrics, or monitor views on this metric. Check the validity of your calculated metric after you save it by clicking Analyze in the row for that metric. If the time series chart produces an error or doesn't look as you expect, verify that your formula is correct.
Edit the formula of a calculated metric
As an IAI admin, you can edit the formula of any calculated metric.
 From Splunk IAI, select the Browse view.
 Navigate to the calculated metric from the Assets or Groups tab.
 Click the name of the metric.
 In the metric details page, click Edit Formula in the right panel above the formula.
 Edit the formula, and then click Save.
Edit the name of a calculated metric
You can rename calculated metrics for assets and groups.
Rename a calculated metric for an asset
 From Splunk IAI, select the Browse view.
 From the Assets tab, locate the asset that you calculated the metric for.
 In the list of metrics, locate the metric that you want to rename.
 In the Actions column, click Rename.
 Type a new Name and optionally update the description.
 Click Rename.
Rename a calculated metric for a group
 From Splunk IAI, select the Browse view.
 From the Groups tab, locate the group that the calculated metric applies to.
 Click the group name, then click Group Metrics to view the calculated metrics for the group.
 In the list of metrics, locate the metric that you want to rename.
 In the Actions column, click Rename.
 Type a new Name and optionally update the description.
 Click Rename.
Rename a calculated metric from the formula builder
You can rename a calculated metric for an asset or group while editing the formula for the calculated metric.
 From the formula builder, click the pencil icon next to the metric name.
 Type a new Name and optionally update the description.
 Click Change to save the changes.
Rename a calculated metric from the metric details
 From Splunk IAI, select the Browse view.
 Navigate to the calculated metric from the Assets or Groups tab.
 Click the name of the metric.
 Click Rename.
 Type a new Name and optionally update the description.
 Click Rename.
Delete a calculated metric
As an IAI administrator, you can delete calculated metrics.
Deleting a calculated metric is irreversible. If the calculated metric is in use, deleting it can cause other metrics and views to stop functioning correctly.
Deleting a calculated metric can have the following consequences:
 If you created alerts on the calculated metric, deleting the calculated metric also deletes the alerts.
 If you created other calculated metrics that use this calculated metric, deleting the calculated metric causes those metrics to stop working.
 If you created monitor views that use this calculated metric, deleting the calculated metric causes the widgets for this metric to display a message stating "This metric is not available."
To delete a calculated metric, perform the following steps:
 From Splunk IAI, select the Browse view.
 Navigate to the calculated metric from the Assets or Groups tab.
 Delete the metric by clicking Delete in the Actions column, or click the name of the metric and click Delete.
 Check the boxes to confirm that you understand the consequences of deleting the metric.
 Click Delete.
Troubleshoot issues creating formulas for calculated metrics
If you see an error message indicating you have a syntax error in your formula, check for the following common issues:
 Do you have the expected number of arguments in each function?
 Are the function arguments commaseparated?
 Are all parentheses balanced?
 Are all mathematical operators logically placed?
 Is the first argument of each IF function a Boolean?
 If you used an informational function, is it used inside of a conditional function?
If you test a calculated metric on the Analyze page and see an error, check the following aspects of the metric:
 When you create a calculated metric for an asset that uses a calculated metric for a group in its formula, that asset must contain any and all raw metrics that are used in the formula for that group calculated metric.
 For example, you create a calculated metric called
tempC
that converts a raw temperature metrictemp
to Celsius for all assets in the groupMachines
. You want a calculated metric on the assetPilot Line
that takes an average of all the temperatures of all the machines in the pilot line of your factory. Because of a current limitation of group metric functionality, you must use the rawtemp
metric for each asset in your formula, take the average, and then convert that to Celsius. You cannot use the group calculated metric in the formula for the average because thePilot Line
asset doesn't share thetemp
raw metric.
 For example, you create a calculated metric called
If you see an error on the Analyze page but you believe your formula is supported, submit a case using the Splunk Support Portal.
Function reference
If you are familiar with the functions used by the Search Processing Language (SPL) in Splunk software, the formula builder uses a subset of those functions.
Category  Function  Description  Example 

Boolean Operators  AND 
Returns values if all functions it connects return results. Use in combination with functions.  if(Floor1.Line1.Oven1.temp > 90 AND Floor1.Line1.Oven2.temp > 90, 1, 0)

Boolean Operators  OR 
Returns values if any of the functions it connects return results. Use in combination with functions.  if(Floor1.Line1.Oven1.temp > 90 OR Floor1.Line1.Oven2.temp > 90, 1, 0)

Boolean Operators  NOT 
Removes the values of the functions that follow it from results. Use in combination with functions.  if(NOT isbool(Floor1.Line1.Oven1.temp), 1, 0)

Conditional  if(condition, X, Y)

Checks whether a condition is met and returns X if true and Y if false. You can nest additional conditional functions or other functions inside the arguments.  if(Floor1.Line1.Oven1.temp > 90, 1, 0)

Informational  isbool(X) 
Returns true if X is a Boolean. Use with conditional functions.  if(isbool(Floor1.Line1.Oven1.temp), 1, 0)

Informational  isint(X) 
Returns true if X is an integer. Use with conditional functions.  if(isint(Floor1.Line1.Oven1.temp), Floor1.Line1.Oven1.temp*10, Floor1.Line1.Oven1.temp/10)

Informational  isnotnull(X) 
Returns true if X is not null. Use with conditional functions.  if(isnotnull(Floor1.Line1.Oven1.temp), 1, 0)

Informational  isnull(X) 
Returns true if X is null. Use with conditional functions.  if(isnull(Floor1.Line1.Oven1.temp), 0, 1)

Informational  isnum(X) 
Returns true if X is a number. Use with conditional functions.  if(isnum(Floor1.Line1.Oven1.temp), Floor1.Line1.Oven1.temp, 42)

Informational  isstr(X) 
Returns true if X is a string. Use with conditional functions.  if( isstr(Floor1.Line1.Oven1.temp), 98, Floor1.Line1.Oven1.temp)

Mathematical  abs(X)

Returns the absolute value of X.  abs(Floor1.Line1.Oven1.temp)

Mathematical  ceiling(X)

Returns X rounded up to the nearest whole integer.  ceiling(Floor1.Line1.Oven1.temp)

Mathematical  exact(X)

Returns X with a larger amount of precision.  exact(Floor1.Line1.Oven1.temp)

Mathematical  exp(X)

Returns the exponential function e to the power of X.  exp(Floor1.Line1.Oven1.temp)

Mathematical  floor(X)

Returns X rounded down to the nearest whole integer.  floor(Floor1.Line1.Oven1.temp)

Mathematical  ln(X)

Returns the natural logarithm of X.  ln(Floor1.Line1.Oven1.temp)

Mathematical  log(X,Y)

Returns the logarithm of X base Y. The default for Y is 10.  log(Floor1.Line1.Oven1.temp,10)

Mathematical  pow(X,Y)

Returns X to the power of Y.  pow(Floor1.Line1.Oven1.temp,10)

Mathematical  round(X,Y)

Returns X rounded to the amount of decimal places specified by Y.  round(Floor1.Line1.Oven1.temp, 2)

Mathematical  sigfig(X)

Returns X rounded to the appropriate number of significant figures.  sigfig(Floor1.Line1.Oven1.temp, 3)

Mathematical  sqrt(X)

Returns the square root of X.  sqrt(Floor1.Line1.Oven1.temp)

Mathematical  sum(X, ...)

Returns the sum of its arguments. Separate arguments with commas.  sum(Floor1.Line1.Oven1.temp, 32)/1.8

Statistical  avg(X, ...)

Returns the average of its arguments. Separate arguments with commas.  avg(Floor1.Line1.Oven1.temp, Floor1.Line1.Oven2.temp, Floor1.Line1.Oven3.temp)

Statistical  max(X, ...)

Returns the maximum value of its arguments. Separate arguments with commas.  max(Floor1.Line1.Oven1.temp, Floor1.Line1.Oven2.temp, Floor1.Line1.Oven3.temp)

Statistical  min(X, ...)

Returns the minimum value of its arguments. Separate arguments with commas.  min(Floor1.Line1.Oven1.temp, Floor1.Line1.Oven2.temp, Floor1.Line1.Oven3.temp)

Statistical  range(X, ...)

Returns the difference between the maximum and minimum arguments. Separate arguments with commas.  range(Floor1.Line1.Oven1.temp, Floor1.Line1.Oven2.temp, Floor1.Line1.Oven3.temp)

Trigonometry  acos(X)

Returns the arc cosine of X.  acos(Floor1.Line1.Slicer1.angle)

Trigonometry  acosh(X)

Returns the arc hyperbolic cosine of X.  acosh(Floor1.Line1.Slicer1.angle)

Trigonometry  asin(X)

Returns the arc sine of X.  asin(Floor1.Line1.Slicer1.angle)

Trigonometry  asinh(X)

Returns the arc hyperbolic sine of X.  asinh(Floor1.Line1.Slicer1.angle)

Trigonometry  atan(X)

Returns the arc tangent of X.  atan(Floor1.Line1.Slicer1.angle)

Trigonometry  atanh(X)

Returns the arc hyperbolic tangent of X.  atanh(Floor1.Line1.Slicer1.angle)

Trigonometry  cos(X)

Returns the cosine of X.  cos(Floor1.Line1.Slicer1.angle)

Trigonometry  cosh(X)

Returns the hyperbolic cosine of X.  cosh(Floor1.Line1.Slicer1.angle)

Trigonometry  sin(X)

Returns the sine of X.  sin(Floor1.Line1.Slicer1.angle)

Trigonometry  sinh(X)

Returns the hyperbolic sine of X.  sinh(Floor1.Line1.Slicer1.angle)

Trigonometry  tan(X)

Returns the tangent of X.  tan(Floor1.Line1.Slicer1.angle)

Trigonometry  tanh(X)

Returns the hyperbolic tangent of X.  tanh(Floor1.Line1.Slicer1.angle)

Extended function examples
The following are extended examples of calculated metrics you can create with the formula builder.
Set a null metric to a static value
For example, if you want to set a metric to a static value if it is null in the data, you could construct a calculated metric with the following formula:
if(isnull(Floor1.Line1.Oven1.temp), 10, Floor1.Line1.Oven1.temp)
In this case, if the temperature for Oven1 on Line1 on Floor1 is null, the value is set to 10. Otherwise, the value remains the value of the metric.
Convert a string value into a static numeric value
For example, if you want to convert a string value into a static numeric value, you could construct a calculated metric with the following formula:
if(isstr(Floor1.Line1.Oven1.temp), 98, Floor1.Line1.Oven1.temp)
In this case, if the temperature for Oven1 on Line1 on Floor1 is a string, the value is set to 98. Otherwise, the value remains the value of the metric.
Set a value based on the lack of a particular condition
For example, if you want to set a metric to a particular value if a particular condition is not true, you can use the NOT Boolean operator in combination with another function inside of a conditional function. To do this, you could construct a calculated metric with the following formula:
if(NOT sum(Floor1.Line1.Oven1.temp, Floor1.Line1.Oven2.temp)<1000, 85 , 25)
In this case, if the sum of the temperature of the two ovens is less than 1000, set the value of the calculated metric to 85. If the sum of the temperature of the two ovens is not less than 1000, set the value of the calculated metric to 25.
You can get the same result with if(sum(Floor1.Line1.Oven1.temp, Floor1.Line1.Oven2.temp)<1000, 25, 85)
.
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This documentation applies to the following versions of Splunk^{®} Industrial Asset Intelligence (Legacy): 1.2.1, 1.2.2, 1.3.0
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