package prometheus import ( "hash/fnv" "sort" "strconv" "strings" "time" "github.com/gogo/protobuf/proto" "github.com/influxdata/telegraf" dto "github.com/prometheus/client_model/go" ) const helpString = "Telegraf collected metric" type MetricFamily struct { Name string Type telegraf.ValueType } type Metric struct { Labels []LabelPair Time time.Time Scaler *Scaler Histogram *Histogram Summary *Summary } type LabelPair struct { Name string Value string } type Scaler struct { Value float64 } type Bucket struct { Bound float64 Count uint64 } type Quantile struct { Quantile float64 Value float64 } type Histogram struct { Buckets []Bucket Count uint64 Sum float64 } type Summary struct { Quantiles []Quantile Count uint64 Sum float64 } type MetricKey uint64 func MakeMetricKey(labels []LabelPair) MetricKey { h := fnv.New64a() for _, label := range labels { h.Write([]byte(label.Name)) h.Write([]byte("\x00")) h.Write([]byte(label.Value)) h.Write([]byte("\x00")) } return MetricKey(h.Sum64()) } type Entry struct { Family MetricFamily Metrics map[MetricKey]*Metric } type Collection struct { config FormatConfig Entries map[MetricFamily]Entry } func NewCollection(config FormatConfig) *Collection { cache := &Collection{ config: config, Entries: make(map[MetricFamily]Entry), } return cache } func hasLabel(name string, labels []LabelPair) bool { for _, label := range labels { if name == label.Name { return true } } return false } func (c *Collection) createLabels(metric telegraf.Metric) []LabelPair { labels := make([]LabelPair, 0, len(metric.TagList())) for _, tag := range metric.TagList() { // Ignore special tags for histogram and summary types. switch metric.Type() { case telegraf.Histogram: if tag.Key == "le" { continue } case telegraf.Summary: if tag.Key == "quantile" { continue } } name, ok := SanitizeName(tag.Key) if !ok { continue } labels = append(labels, LabelPair{Name: name, Value: tag.Value}) } if c.config.StringHandling != StringAsLabel { return labels } addedFieldLabel := false for _, field := range metric.FieldList() { value, ok := field.Value.(string) if !ok { continue } name, ok := SanitizeName(field.Key) if !ok { continue } // If there is a tag with the same name as the string field, discard // the field and use the tag instead. if hasLabel(name, labels) { continue } labels = append(labels, LabelPair{Name: name, Value: value}) addedFieldLabel = true } if addedFieldLabel { sort.Slice(labels, func(i, j int) bool { return labels[i].Name < labels[j].Name }) } return labels } func (c *Collection) Add(metric telegraf.Metric) { labels := c.createLabels(metric) for _, field := range metric.FieldList() { metricName := MetricName(metric.Name(), field.Key, metric.Type()) metricName, ok := SanitizeName(metricName) if !ok { continue } family := MetricFamily{ Name: metricName, Type: metric.Type(), } entry, ok := c.Entries[family] if !ok { entry = Entry{ Family: family, Metrics: make(map[MetricKey]*Metric), } c.Entries[family] = entry } metricKey := MakeMetricKey(labels) m, ok := entry.Metrics[metricKey] if ok { // A batch of metrics can contain multiple values for a single // Prometheus sample. If this metric is older than the existing // sample then we can skip over it. if metric.Time().Before(m.Time) { continue } } switch metric.Type() { case telegraf.Counter: fallthrough case telegraf.Gauge: fallthrough case telegraf.Untyped: value, ok := SampleValue(field.Value) if !ok { continue } m = &Metric{ Labels: labels, Time: metric.Time(), Scaler: &Scaler{Value: value}, } // what if already here entry.Metrics[metricKey] = m case telegraf.Histogram: if m == nil { m = &Metric{ Labels: labels, Time: metric.Time(), Histogram: &Histogram{}, } } switch { case strings.HasSuffix(field.Key, "_bucket"): le, ok := metric.GetTag("le") if !ok { continue } bound, err := strconv.ParseFloat(le, 64) if err != nil { continue } count, ok := SampleCount(field.Value) if !ok { continue } m.Histogram.Buckets = append(m.Histogram.Buckets, Bucket{ Bound: bound, Count: count, }) case strings.HasSuffix(field.Key, "_sum"): sum, ok := SampleSum(field.Value) if !ok { continue } m.Histogram.Sum = sum case strings.HasSuffix(field.Key, "_count"): count, ok := SampleCount(field.Value) if !ok { continue } m.Histogram.Count = count default: continue } entry.Metrics[metricKey] = m case telegraf.Summary: if m == nil { m = &Metric{ Labels: labels, Time: metric.Time(), Summary: &Summary{}, } } switch { case strings.HasSuffix(field.Key, "_sum"): sum, ok := SampleSum(field.Value) if !ok { continue } m.Summary.Sum = sum case strings.HasSuffix(field.Key, "_count"): count, ok := SampleCount(field.Value) if !ok { continue } m.Summary.Count = count default: quantileTag, ok := metric.GetTag("quantile") if !ok { continue } quantile, err := strconv.ParseFloat(quantileTag, 64) if err != nil { continue } value, ok := SampleValue(field.Value) if !ok { continue } m.Summary.Quantiles = append(m.Summary.Quantiles, Quantile{ Quantile: quantile, Value: value, }) } entry.Metrics[metricKey] = m } } } func (c *Collection) Expire(now time.Time, age time.Duration) { expireTime := now.Add(-age) for _, entry := range c.Entries { for key, metric := range entry.Metrics { if metric.Time.Before(expireTime) { delete(entry.Metrics, key) if len(entry.Metrics) == 0 { delete(c.Entries, entry.Family) } } } } } func (c *Collection) GetEntries(order MetricSortOrder) []Entry { entries := make([]Entry, 0, len(c.Entries)) for _, entry := range c.Entries { entries = append(entries, entry) } switch order { case SortMetrics: sort.Slice(entries, func(i, j int) bool { lhs := entries[i].Family rhs := entries[j].Family if lhs.Name != rhs.Name { return lhs.Name < rhs.Name } return lhs.Type < rhs.Type }) } return entries } func (c *Collection) GetMetrics(entry Entry, order MetricSortOrder) []*Metric { metrics := make([]*Metric, 0, len(entry.Metrics)) for _, metric := range entry.Metrics { metrics = append(metrics, metric) } switch order { case SortMetrics: sort.Slice(metrics, func(i, j int) bool { lhs := metrics[i].Labels rhs := metrics[j].Labels if len(lhs) != len(rhs) { return len(lhs) < len(rhs) } for index := range lhs { l := lhs[index] r := rhs[index] if l.Name != r.Name { return l.Name < r.Name } if l.Value != r.Value { return l.Value < r.Value } } return false }) } return metrics } func (c *Collection) GetProto() []*dto.MetricFamily { result := make([]*dto.MetricFamily, 0, len(c.Entries)) for _, entry := range c.GetEntries(c.config.MetricSortOrder) { mf := &dto.MetricFamily{ Name: proto.String(entry.Family.Name), Help: proto.String(helpString), Type: MetricType(entry.Family.Type), } for _, metric := range c.GetMetrics(entry, c.config.MetricSortOrder) { l := make([]*dto.LabelPair, 0, len(metric.Labels)) for _, label := range metric.Labels { l = append(l, &dto.LabelPair{ Name: proto.String(label.Name), Value: proto.String(label.Value), }) } m := &dto.Metric{ Label: l, } if c.config.TimestampExport == ExportTimestamp { m.TimestampMs = proto.Int64(metric.Time.UnixNano() / int64(time.Millisecond)) } switch entry.Family.Type { case telegraf.Gauge: m.Gauge = &dto.Gauge{Value: proto.Float64(metric.Scaler.Value)} case telegraf.Counter: m.Counter = &dto.Counter{Value: proto.Float64(metric.Scaler.Value)} case telegraf.Untyped: m.Untyped = &dto.Untyped{Value: proto.Float64(metric.Scaler.Value)} case telegraf.Histogram: buckets := make([]*dto.Bucket, 0, len(metric.Histogram.Buckets)) for _, bucket := range metric.Histogram.Buckets { buckets = append(buckets, &dto.Bucket{ UpperBound: proto.Float64(bucket.Bound), CumulativeCount: proto.Uint64(bucket.Count), }) } if len(buckets) == 0 { continue } m.Histogram = &dto.Histogram{ Bucket: buckets, SampleCount: proto.Uint64(metric.Histogram.Count), SampleSum: proto.Float64(metric.Histogram.Sum), } case telegraf.Summary: quantiles := make([]*dto.Quantile, 0, len(metric.Summary.Quantiles)) for _, quantile := range metric.Summary.Quantiles { quantiles = append(quantiles, &dto.Quantile{ Quantile: proto.Float64(quantile.Quantile), Value: proto.Float64(quantile.Value), }) } if len(quantiles) == 0 { continue } m.Summary = &dto.Summary{ Quantile: quantiles, SampleCount: proto.Uint64(metric.Summary.Count), SampleSum: proto.Float64(metric.Summary.Sum), } default: panic("unknown telegraf.ValueType") } mf.Metric = append(mf.Metric, m) } if len(mf.Metric) != 0 { result = append(result, mf) } } return result }