# 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][]. [telegraf.Aggregator]: https://godoc.org/github.com/influxdata/telegraf#Aggregator [Sample Config]: /docs/developers/SAMPLE_CONFIG.md [Code Style]: /docs/developers/CODE_STYLE.md ### Aggregator Plugin Example ### Registration Registration of the plugin on `plugins/aggregators/all/min.go`: ```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 //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() }) } ```