rangemap
Description
Use the rangemap
command to categorize the values in a numeric field. The command adds in a new field called range
to each event and displays the category in the range
field. The values in the range
field are based on the numeric ranges that you specify.
Set the range
field to the names of any attribute_name
that the value of the input field
is within. If no range is matched, the range
value is set to the default
value.
The ranges that you set can overlap. If you have overlapping values, the range
field is created as a multivalue field containing all the values that apply. For example, if low=1-10, elevated=5-15, and the input field value is 10, range=low
and code=elevated
.
Syntax
The required syntax is in bold.
- rangemap
- field=<string>
- [<attribute_name>=<numeric_range>]...
- [default=<string>]
Required arguments
- field
- Syntax: field=<string>
- Description: The name of the input field. This field must contain numeric values.
Optional arguments
- attribute_name=numeric_range
- Syntax: <string>=<num>-<num>
- Description: The <attribute_name> is a string value that is output when the <numeric_range> matches the value in the <field>. The <attribute_name> is a output to the
range
field. The <numeric_range> is the starting and ending values for the range. The values can be integers or floating point numbers. The first value must be lower than the second. The <numeric_range> can include negative values. - Example: Dislike=-5--1 DontCare=0-0 Like=1-5
- default
- Syntax: default=<string>
- Description: If the input field does not match a range, use this to define a default value.
- Default: "None"
Usage
The rangemap
command is a distributable streaming command. See Command types.
Basic examples
Example 1:
Set range
to "green" if the date_second is between 1-30; "blue", if between 31-39; "red", if between 40-59; and "gray", if no range matches (for example, if date_second=0).
... | rangemap field=date_second green=1-30 blue=31-39 red=40-59 default=gray
Example 2:
Sets the value of each event's range
field to "low" if its count
field is 0 (zero); "elevated", if between 1-100; "severe", otherwise.
... | rangemap field=count low=0-0 elevated=1-100 default=severe
Extended example
This example uses recent earthquake data downloaded from the USGS Earthquakes website. The data is a comma separated ASCII text file that contains magnitude (mag), coordinates (latitude, longitude), region (place), etc., for each earthquake recorded.
|
This search counts the number and magnitude of each earthquake that occurred in and around Alaska. Then a color is assigned to each magnitude using the rangemap
command.
source=all_month.csv place=*alaska* mag>=3.5
| stats count BY mag
| rename mag AS magnitude
| rangemap field=magnitude light=3.9-4.3 strong=4.4-4.9 severe=5.0-9.0 default=weak
The results look something like this:
magnitude | count | range |
---|---|---|
3.7 | 15 | weak |
3.8 | 31 | weak |
3.9 | 29 | light |
4 | 22 | light |
4.1 | 30 | light |
4.2 | 15 | light |
4.3 | 10 | light |
4.4 | 22 | strong |
4.5 | 3 | strong |
4.6 | 8 | strong |
4.7 | 9 | strong |
4.8 | 6 | strong |
4.9 | 6 | strong |
5 | 2 | severe |
5.1 | 2 | severe |
5.2 | 5 | severe |
Summarize the results by range value
source=all_month.csv place=*alaska* mag>=3.5
| stats count BY mag
| rename mag AS magnitude
| rangemap field=magnitude green=3.9-4.2 yellow=4.3-4.6 red=4.7-5.0 default=gray
| stats sum(count) by range
The results look something like this:
range | sum(count) |
---|---|
gray | 127 |
green | 96 |
red | 23 |
yellow | 43 |
Arrange the results in a custom sort order
By default the values in the search results are in descending order by the sum(count)
field. You can apply a custom sort order to the results using the eval
command with the case
function.
source=all_month.csv place=*alaska* mag>=3.5
| stats count BY mag
| rename mag AS magnitude
| rangemap field=magnitude green=3.9-4.2 yellow=4.3-4.6 red=4.7-5.0 default=gray
| stats sum(count) by range
| eval sort_field=case(range="red",1, range="yellow",2, range="green",3, range="gray",4)
| sort sort_field
The results look something like this:
range | sum(count) | sort_field |
---|---|---|
red | 23 | 1 |
yellow | 43 | 2 |
green | 96 | 3 |
gray | 127 | 4 |
See also
- Commands
- eval
predict | rare |
This documentation applies to the following versions of Splunk® Enterprise: 7.0.0, 7.0.1, 7.0.2, 7.0.3, 7.0.4, 7.0.5, 7.0.6, 7.0.7, 7.0.8, 7.0.9, 7.0.10, 7.0.11, 7.0.13, 7.1.0, 7.1.1, 7.1.2, 7.1.3, 7.1.4, 7.1.5, 7.1.6, 7.1.7, 7.1.8, 7.1.9, 7.1.10, 7.2.0, 7.2.1, 7.2.2, 7.2.3, 7.2.4, 7.2.5, 7.2.6, 7.2.7, 7.2.8, 7.2.9, 7.2.10, 7.3.0, 7.3.1, 7.3.2, 7.3.3, 7.3.4, 7.3.5, 7.3.6, 7.3.7, 7.3.8, 7.3.9, 8.0.0, 8.0.1, 8.0.2, 8.0.3, 8.0.4, 8.0.5, 8.0.6, 8.0.7, 8.0.8, 8.0.9, 8.0.10, 8.1.0, 8.1.1, 8.1.3, 8.1.4, 8.1.5, 8.1.6, 8.1.7, 8.1.8, 8.1.9, 8.1.11, 8.1.13, 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, 9.1.6, 9.1.7, 9.2.0, 9.2.1, 9.2.2, 9.2.3, 9.2.4, 9.3.0, 9.3.1, 9.3.2, 9.4.0, 8.1.10, 8.1.12, 8.1.14, 8.1.2
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