metrics: remove librato (#29624)
This commit is contained in:
Aaron Chen
GitHub
parent
0e380ddaf7
commit
709e0b3997
@ -100,24 +100,6 @@ go influxdb.InfluxDB(metrics.DefaultRegistry,
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)
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```
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Periodically upload every metric to Librato using the [Librato client](https://github.com/mihasya/go-metrics-librato):
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**Note**: the client included with this repository under the `librato` package
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has been deprecated and moved to the repository linked above.
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```go
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import "github.com/mihasya/go-metrics-librato"
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go librato.Librato(metrics.DefaultRegistry,
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10e9, // interval
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"example@example.com", // account owner email address
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"token", // Librato API token
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"hostname", // source
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[]float64{0.95}, // percentiles to send
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time.Millisecond, // time unit
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)
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```
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Periodically emit every metric to StatHat:
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```go
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@ -157,7 +139,6 @@ Publishing Metrics
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Clients are available for the following destinations:
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* Librato - https://github.com/mihasya/go-metrics-librato
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* Graphite - https://github.com/cyberdelia/go-metrics-graphite
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* InfluxDB - https://github.com/vrischmann/go-metrics-influxdb
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* Ganglia - https://github.com/appscode/metlia
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@ -1,104 +0,0 @@
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package librato
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import (
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"bytes"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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)
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const Operations = "operations"
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const OperationsShort = "ops"
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type LibratoClient struct {
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Email, Token string
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}
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// property strings
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const (
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// display attributes
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Color = "color"
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DisplayMax = "display_max"
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DisplayMin = "display_min"
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DisplayUnitsLong = "display_units_long"
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DisplayUnitsShort = "display_units_short"
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DisplayStacked = "display_stacked"
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DisplayTransform = "display_transform"
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// special gauge display attributes
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SummarizeFunction = "summarize_function"
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Aggregate = "aggregate"
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// metric keys
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Name = "name"
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Period = "period"
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Description = "description"
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DisplayName = "display_name"
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Attributes = "attributes"
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// measurement keys
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MeasureTime = "measure_time"
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Source = "source"
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Value = "value"
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// special gauge keys
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Count = "count"
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Sum = "sum"
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Max = "max"
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Min = "min"
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SumSquares = "sum_squares"
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// batch keys
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Counters = "counters"
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Gauges = "gauges"
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MetricsPostUrl = "https://metrics-api.librato.com/v1/metrics"
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)
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type Measurement map[string]interface{}
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type Metric map[string]interface{}
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type Batch struct {
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Gauges []Measurement `json:"gauges,omitempty"`
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Counters []Measurement `json:"counters,omitempty"`
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MeasureTime int64 `json:"measure_time"`
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Source string `json:"source"`
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}
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func (c *LibratoClient) PostMetrics(batch Batch) (err error) {
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var (
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js []byte
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req *http.Request
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resp *http.Response
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)
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if len(batch.Counters) == 0 && len(batch.Gauges) == 0 {
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return nil
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}
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if js, err = json.Marshal(batch); err != nil {
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return
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}
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if req, err = http.NewRequest(http.MethodPost, MetricsPostUrl, bytes.NewBuffer(js)); err != nil {
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return
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}
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req.Header.Set("Content-Type", "application/json")
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req.SetBasicAuth(c.Email, c.Token)
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resp, err = http.DefaultClient.Do(req)
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if err != nil {
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return
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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var body []byte
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if body, err = io.ReadAll(resp.Body); err != nil {
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body = []byte(fmt.Sprintf("(could not fetch response body for error: %s)", err))
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}
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err = fmt.Errorf("unable to post to Librato: %d %s %s", resp.StatusCode, resp.Status, string(body))
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}
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return
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}
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@ -1,254 +0,0 @@
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package librato
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import (
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"fmt"
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"log"
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"math"
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"regexp"
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"time"
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"github.com/ethereum/go-ethereum/metrics"
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)
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// a regexp for extracting the unit from time.Duration.String
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var unitRegexp = regexp.MustCompile(`[^\\d]+$`)
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// a helper that turns a time.Duration into librato display attributes for timer metrics
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func translateTimerAttributes(d time.Duration) (attrs map[string]interface{}) {
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attrs = make(map[string]interface{})
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attrs[DisplayTransform] = fmt.Sprintf("x/%d", int64(d))
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attrs[DisplayUnitsShort] = string(unitRegexp.Find([]byte(d.String())))
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return
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}
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type Reporter struct {
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Email, Token string
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Namespace string
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Source string
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Interval time.Duration
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Registry metrics.Registry
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Percentiles []float64 // percentiles to report on histogram metrics
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TimerAttributes map[string]interface{} // units in which timers will be displayed
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intervalSec int64
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}
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func NewReporter(r metrics.Registry, d time.Duration, e string, t string, s string, p []float64, u time.Duration) *Reporter {
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return &Reporter{e, t, "", s, d, r, p, translateTimerAttributes(u), int64(d / time.Second)}
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}
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func Librato(r metrics.Registry, d time.Duration, e string, t string, s string, p []float64, u time.Duration) {
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NewReporter(r, d, e, t, s, p, u).Run()
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}
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func (rep *Reporter) Run() {
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log.Printf("WARNING: This client has been DEPRECATED! It has been moved to https://github.com/mihasya/go-metrics-librato and will be removed from rcrowley/go-metrics on August 5th 2015")
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ticker := time.NewTicker(rep.Interval)
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defer ticker.Stop()
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metricsApi := &LibratoClient{rep.Email, rep.Token}
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for now := range ticker.C {
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var metrics Batch
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var err error
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if metrics, err = rep.BuildRequest(now, rep.Registry); err != nil {
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log.Printf("ERROR constructing librato request body %s", err)
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continue
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}
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if err := metricsApi.PostMetrics(metrics); err != nil {
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log.Printf("ERROR sending metrics to librato %s", err)
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continue
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}
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}
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}
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// calculate sum of squares from data provided by metrics.Histogram
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// see http://en.wikipedia.org/wiki/Standard_deviation#Rapid_calculation_methods
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func sumSquares(icount int64, mean, stDev float64) float64 {
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count := float64(icount)
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sumSquared := math.Pow(count*mean, 2)
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sumSquares := math.Pow(count*stDev, 2) + sumSquared/count
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if math.IsNaN(sumSquares) {
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return 0.0
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}
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return sumSquares
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}
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func sumSquaresTimer(t metrics.TimerSnapshot) float64 {
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count := float64(t.Count())
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sumSquared := math.Pow(count*t.Mean(), 2)
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sumSquares := math.Pow(count*t.StdDev(), 2) + sumSquared/count
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if math.IsNaN(sumSquares) {
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return 0.0
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}
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return sumSquares
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}
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func (rep *Reporter) BuildRequest(now time.Time, r metrics.Registry) (snapshot Batch, err error) {
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snapshot = Batch{
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// coerce timestamps to a stepping fn so that they line up in Librato graphs
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MeasureTime: (now.Unix() / rep.intervalSec) * rep.intervalSec,
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Source: rep.Source,
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}
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snapshot.Gauges = make([]Measurement, 0)
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snapshot.Counters = make([]Measurement, 0)
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histogramGaugeCount := 1 + len(rep.Percentiles)
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r.Each(func(name string, metric interface{}) {
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if rep.Namespace != "" {
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name = fmt.Sprintf("%s.%s", rep.Namespace, name)
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}
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measurement := Measurement{}
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measurement[Period] = rep.Interval.Seconds()
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switch m := metric.(type) {
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case metrics.Counter:
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ms := m.Snapshot()
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if ms.Count() > 0 {
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measurement[Name] = fmt.Sprintf("%s.%s", name, "count")
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measurement[Value] = float64(ms.Count())
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measurement[Attributes] = map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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}
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snapshot.Counters = append(snapshot.Counters, measurement)
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}
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case metrics.CounterFloat64:
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if count := m.Snapshot().Count(); count > 0 {
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measurement[Name] = fmt.Sprintf("%s.%s", name, "count")
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measurement[Value] = count
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measurement[Attributes] = map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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}
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snapshot.Counters = append(snapshot.Counters, measurement)
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}
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case metrics.Gauge:
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measurement[Name] = name
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measurement[Value] = float64(m.Snapshot().Value())
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snapshot.Gauges = append(snapshot.Gauges, measurement)
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case metrics.GaugeFloat64:
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measurement[Name] = name
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measurement[Value] = m.Snapshot().Value()
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snapshot.Gauges = append(snapshot.Gauges, measurement)
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case metrics.GaugeInfo:
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measurement[Name] = name
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measurement[Value] = m.Snapshot().Value()
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snapshot.Gauges = append(snapshot.Gauges, measurement)
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case metrics.Histogram:
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ms := m.Snapshot()
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if ms.Count() > 0 {
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gauges := make([]Measurement, histogramGaugeCount)
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measurement[Name] = fmt.Sprintf("%s.%s", name, "hist")
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measurement[Count] = uint64(ms.Count())
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measurement[Max] = float64(ms.Max())
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measurement[Min] = float64(ms.Min())
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measurement[Sum] = float64(ms.Sum())
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measurement[SumSquares] = sumSquares(ms.Count(), ms.Mean(), ms.StdDev())
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gauges[0] = measurement
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for i, p := range rep.Percentiles {
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gauges[i+1] = Measurement{
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Name: fmt.Sprintf("%s.%.2f", measurement[Name], p),
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Value: ms.Percentile(p),
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Period: measurement[Period],
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}
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}
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snapshot.Gauges = append(snapshot.Gauges, gauges...)
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}
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case metrics.Meter:
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ms := m.Snapshot()
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measurement[Name] = name
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measurement[Value] = float64(ms.Count())
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snapshot.Counters = append(snapshot.Counters, measurement)
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snapshot.Gauges = append(snapshot.Gauges,
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "1min"),
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Value: ms.Rate1(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "5min"),
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Value: ms.Rate5(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "15min"),
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Value: ms.Rate15(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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)
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case metrics.Timer:
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ms := m.Snapshot()
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measurement[Name] = name
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measurement[Value] = float64(ms.Count())
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snapshot.Counters = append(snapshot.Counters, measurement)
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if ms.Count() > 0 {
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libratoName := fmt.Sprintf("%s.%s", name, "timer.mean")
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gauges := make([]Measurement, histogramGaugeCount)
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gauges[0] = Measurement{
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Name: libratoName,
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Count: uint64(ms.Count()),
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Sum: ms.Mean() * float64(ms.Count()),
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Max: float64(ms.Max()),
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Min: float64(ms.Min()),
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SumSquares: sumSquaresTimer(ms),
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Period: int64(rep.Interval.Seconds()),
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Attributes: rep.TimerAttributes,
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}
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for i, p := range rep.Percentiles {
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gauges[i+1] = Measurement{
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Name: fmt.Sprintf("%s.timer.%2.0f", name, p*100),
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Value: ms.Percentile(p),
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Period: int64(rep.Interval.Seconds()),
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Attributes: rep.TimerAttributes,
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}
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}
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snapshot.Gauges = append(snapshot.Gauges, gauges...)
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snapshot.Gauges = append(snapshot.Gauges,
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "rate.1min"),
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Value: ms.Rate1(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "rate.5min"),
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Value: ms.Rate5(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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Measurement{
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Name: fmt.Sprintf("%s.%s", name, "rate.15min"),
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Value: ms.Rate15(),
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Period: int64(rep.Interval.Seconds()),
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Attributes: map[string]interface{}{
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DisplayUnitsLong: Operations,
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DisplayUnitsShort: OperationsShort,
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DisplayMin: "0",
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},
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},
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)
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}
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}
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})
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return
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}
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