pivot

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Published: Oct 6, 2021 License: MIT Imports: 2 Imported by: 5

README

Pivot Processor

You can use the pivot processor to rotate single valued metrics into a multi field metric. This transformation often results in data that is more easily to apply mathematical operators and comparisons between, and flatten into a more compact representation for write operations with some output data formats.

To perform the reverse operation use the unpivot processor.

Configuration
[[processors.pivot]]
  ## Tag to use for naming the new field.
  tag_key = "name"
  ## Field to use as the value of the new field.
  value_key = "value"
Example
- cpu,cpu=cpu0,name=time_idle value=42i
- cpu,cpu=cpu0,name=time_user value=43i
+ cpu,cpu=cpu0 time_idle=42i
+ cpu,cpu=cpu0 time_user=43i

Documentation

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type Pivot

type Pivot struct {
	TagKey   string `toml:"tag_key"`
	ValueKey string `toml:"value_key"`
}

func (*Pivot) Apply

func (p *Pivot) Apply(metrics ...telegraf.Metric) []telegraf.Metric

func (*Pivot) Description

func (p *Pivot) Description() string

func (*Pivot) SampleConfig

func (p *Pivot) SampleConfig() string

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