docs-v2/content/telegraf/v1/processor-plugins/scale/_index.md

3.1 KiB

description menu tags introduced os_support related
Telegraf plugin for transforming metrics using Scale
telegraf_v1_ref
parent name identifier
processor_plugins_reference Scale processor-scale
Scale
processor-plugins
configuration
transformation
v1.27.0 freebsd, linux, macos, solaris, windows
/telegraf/v1/configure_plugins/
https://github.com/influxdata/telegraf/tree/v1.38.0/plugins/processors/scale/README.md, Scale Plugin Source

Scale Processor Plugin

This plugin allows to scale field-values from an input range into the given output range according to this formula:

\text{result}=(\text{value}-\text{input\_minimum})\cdot\frac{(\text{output\_maximum}-\text{output\_minimum})}
{(\text{input\_maximum}-\text{input\_minimum})} +
\text{output\_minimum}

Alternatively, you can apply a factor and offset to the input according to this formula

\text{result}=\text{factor} \cdot \text{value} + \text{offset}

Input fields are converted to floating point values if possible. Otherwise, fields that cannot be converted are ignored and keep their original value.

[!NOTE] Neither the input nor output values are clipped to their respective ranges!

Introduced in: Telegraf v1.27.0 Tags: transformation OS support: all

Global configuration options

Plugins support additional global and plugin configuration settings for tasks such as modifying metrics, tags, and fields, creating aliases, and configuring plugin ordering. See CONFIGURATION.md for more details.

Configuration

# Scale values with a predefined range to a different output range.
[[processors.scale]]
    ## It is possible to define multiple different scaling that can be applied
    ## do different sets of fields. Each scaling expects the following
    ## arguments:
    ##   - input_minimum: Minimum expected input value
    ##   - input_maximum: Maximum expected input value
    ##   - output_minimum: Minimum desired output value
    ##   - output_maximum: Maximum desired output value
    ## alternatively you can specify a scaling with factor and offset
    ##   - factor: factor to scale the input value with
    ##   - offset: additive offset for value after scaling
    ##   - fields: a list of field names (or filters) to apply this scaling to

    ## Example: Scaling with minimum and maximum values
    # [[processors.scale.scaling]]
    #    input_minimum = 0.0
    #    input_maximum = 1.0
    #    output_minimum = 0.0
    #    output_maximum = 100.0
    #    fields = ["temperature1", "temperature2"]

    ## Example: Scaling with factor and offset
    # [[processors.scale.scaling]]
    #    factor = 10.0
    #    offset = -5.0
    #    fields = ["voltage*"]

Example

The example below uses these scaling values:

[[processors.scale.scaling]]
    input_minimum = 0.0
    input_maximum = 50.0
    output_minimum = 50.0
    output_maximum = 100.0
    fields = ["cpu"]
- temperature, cpu=25
+ temperature, cpu=75.0