AGGREGATORS.md

Aggregator Plugins

This section is for developers who want to create a new aggregator plugin.

Aggregator Plugin Guidelines

• A aggregator must conform to the telegraf.Aggregator interface.
• Aggregators should call aggregators.Add in their init function to register themselves. See below for a quick example.
• To be available within Telegraf itself, plugins must register themselves using a file in github.com/influxdata/telegraf/plugins/aggregators/all named according to the plugin name. Make sure you also add build-tags to conditionally build the plugin.
• Each plugin requires a file called sample.conf containing the sample configuration for the plugin in TOML format. Please consult the Sample Config page for the latest style guidelines.
• Each plugin README.md file should include the sample.conf file in a section describing the configuration by specifying a toml section in the form toml @sample.conf. The specified file(s) are then injected automatically into the Readme.
• The Aggregator plugin will need to keep caches of metrics that have passed through it. This should be done using the builtin HashID() function of each metric.
• When the Reset() function is called, all caches should be cleared.
• Follow the recommended Code Style.

Aggregator Plugin Example

Registration

Registration of the plugin on plugins/aggregators/all/min.go:

//go:build !custom || aggregators || aggregators.min

package all

import _ "github.com/influxdata/telegraf/plugins/aggregators/min" // register plugin

The build-tags in the first line allow to selectively include/exclude your plugin when customizing Telegraf.

Plugin

Content of your plugin file e.g. min.go

//go:generate ../../../tools/readme_config_includer/generator
package min

// min.go

import (
    _ "embed"

    "github.com/influxdata/telegraf"
    "github.com/influxdata/telegraf/plugins/aggregators"
)

//go:embed sample.conf
var sampleConfig string

type Min struct {
    // caches for metric fields, names, and tags
    fieldCache map[uint64]map[string]float64
    nameCache  map[uint64]string
    tagCache   map[uint64]map[string]string
}

func NewMin() telegraf.Aggregator {
    m := &Min{}
    m.Reset()
    return m
}

func (*Min) SampleConfig() string {
    return sampleConfig
}

func (m *Min) Init() error {
    return nil
}

func (m *Min) Add(in telegraf.Metric) {
    id := in.HashID()
    if _, ok := m.nameCache[id]; !ok {
        // hit an uncached metric, create caches for first time:
        m.nameCache[id] = in.Name()
        m.tagCache[id] = in.Tags()
        m.fieldCache[id] = make(map[string]float64)
        for k, v := range in.Fields() {
            if fv, ok := convert(v); ok {
                m.fieldCache[id][k] = fv
            }
        }
    } else {
        for k, v := range in.Fields() {
            if fv, ok := convert(v); ok {
                if _, ok := m.fieldCache[id][k]; !ok {
                    // hit an uncached field of a cached metric
                    m.fieldCache[id][k] = fv
                    continue
                }
                if fv < m.fieldCache[id][k] {
                    // set new minimum
                    m.fieldCache[id][k] = fv
                }
            }
        }
    }
}

func (m *Min) Push(acc telegraf.Accumulator) {
    for id, _ := range m.nameCache {
        fields := map[string]interface{}{}
        for k, v := range m.fieldCache[id] {
            fields[k+"_min"] = v
        }
        acc.AddFields(m.nameCache[id], fields, m.tagCache[id])
    }
}

func (m *Min) Reset() {
    m.fieldCache = make(map[uint64]map[string]float64)
    m.nameCache = make(map[uint64]string)
    m.tagCache = make(map[uint64]map[string]string)
}

func convert(in interface{}) (float64, bool) {
    switch v := in.(type) {
    case float64:
        return v, true
    case int64:
        return float64(v), true
    default:
        return 0, false
    }
}

func init() {
    aggregators.Add("min", func() telegraf.Aggregator {
        return NewMin()
    })
}