feat: support histogram and summary metric types

Signed-off-by: François Gouteroux <francois.gouteroux@gmail.com>
pull/12299/head
François Gouteroux 2 years ago
parent 934c5ddb8d
commit ca6580828a

@ -14,6 +14,7 @@
package fmtutil
import (
"errors"
"fmt"
"io"
"sort"
@ -26,6 +27,12 @@ import (
"github.com/prometheus/prometheus/prompb"
)
const (
sumStr = "_sum"
countStr = "_count"
bucketStr = "_bucket"
)
var MetricMetadataTypeValue = map[string]int32{
"UNKNOWN": 0,
"COUNTER": 1,
@ -60,71 +67,129 @@ func FormatMetrics(mf map[string]*dto.MetricFamily, extraLabels map[string]strin
wr.Metadata = append(wr.Metadata, metadata)
for _, metric := range mf[metricName].Metric {
var timeserie prompb.TimeSeries
// build labels map
labels := make(map[string]string, len(metric.Label)+len(extraLabels))
labels[model.MetricNameLabel] = metricName
// add extra labels
for key, value := range extraLabels {
labels[key] = value
}
// add metric labels
for _, label := range metric.Label {
labelname := label.GetName()
if labelname == model.JobLabel {
labelname = fmt.Sprintf("%s%s", model.ExportedLabelPrefix, labelname)
}
labels[labelname] = label.GetValue()
}
// build labels name list
sortedLabelNames := make([]string, 0, len(labels))
for label := range labels {
sortedLabelNames = append(sortedLabelNames, label)
labels := makeLabelsMap(metric, metricName, extraLabels)
if err := makeTimeseries(wr, labels, metric); err != nil {
return wr, err
}
// sort labels name in lexicographical order
sort.Strings(sortedLabelNames)
for _, label := range sortedLabelNames {
timeserie.Labels = append(timeserie.Labels, prompb.Label{
Name: label,
Value: labels[label],
})
}
timestamp := metric.GetTimestampMs()
if timestamp == 0 {
timestamp = time.Now().UnixNano() / int64(time.Millisecond)
}
timeserie.Samples = []prompb.Sample{
{
Timestamp: timestamp,
Value: getMetricsValue(metric),
},
}
wr.Timeseries = append(wr.Timeseries, timeserie)
}
}
return wr, nil
}
// getMetricsValue return the value of a timeserie without the need to give value type
func getMetricsValue(m *dto.Metric) float64 {
func makeTimeserie(wr *prompb.WriteRequest, labels map[string]string, timestamp int64, value float64) {
var timeserie prompb.TimeSeries
timeserie.Labels = makeLabels(labels)
timeserie.Samples = []prompb.Sample{
{
Timestamp: timestamp,
Value: value,
},
}
wr.Timeseries = append(wr.Timeseries, timeserie)
}
func makeTimeseries(wr *prompb.WriteRequest, labels map[string]string, m *dto.Metric) error {
var err error
timestamp := m.GetTimestampMs()
if timestamp == 0 {
timestamp = time.Now().UnixNano() / int64(time.Millisecond)
}
switch {
case m.Gauge != nil:
return m.GetGauge().GetValue()
makeTimeserie(wr, labels, timestamp, m.GetGauge().GetValue())
case m.Counter != nil:
return m.GetCounter().GetValue()
makeTimeserie(wr, labels, timestamp, m.GetCounter().GetValue())
case m.Summary != nil:
metricName := labels[model.MetricNameLabel]
// Preserve metric name order with first quantile labels timeseries then sum suffix timeserie and finally count suffix timeserie
// Add Summary quantile timeseries
quantileLabels := make(map[string]string, len(labels)+1)
for key, value := range labels {
quantileLabels[key] = value
}
for _, q := range m.GetSummary().Quantile {
quantileLabels[model.QuantileLabel] = fmt.Sprint(q.GetQuantile())
makeTimeserie(wr, quantileLabels, timestamp, q.GetValue())
}
// Overwrite label model.MetricNameLabel for count and sum metrics
// Add Summary sum timeserie
labels[model.MetricNameLabel] = metricName + sumStr
makeTimeserie(wr, labels, timestamp, m.GetSummary().GetSampleSum())
// Add Summary count timeserie
labels[model.MetricNameLabel] = metricName + countStr
makeTimeserie(wr, labels, timestamp, float64(m.GetSummary().GetSampleCount()))
case m.Histogram != nil:
metricName := labels[model.MetricNameLabel]
// Preserve metric name order with first bucket suffix timeseries then sum suffix timeserie and finally count suffix timeserie
// Add Histogram bucket timeseries
bucketLabels := make(map[string]string, len(labels)+1)
for key, value := range labels {
bucketLabels[key] = value
}
for _, b := range m.GetHistogram().Bucket {
bucketLabels[model.MetricNameLabel] = metricName + bucketStr
bucketLabels[model.BucketLabel] = fmt.Sprint(b.GetUpperBound())
makeTimeserie(wr, bucketLabels, timestamp, float64(b.GetCumulativeCount()))
}
// Overwrite label model.MetricNameLabel for count and sum metrics
// Add Histogram sum timeserie
labels[model.MetricNameLabel] = metricName + sumStr
makeTimeserie(wr, labels, timestamp, m.GetHistogram().GetSampleSum())
// Add Histogram count timeserie
labels[model.MetricNameLabel] = metricName + countStr
makeTimeserie(wr, labels, timestamp, float64(m.GetHistogram().GetSampleCount()))
case m.Untyped != nil:
return m.GetUntyped().GetValue()
makeTimeserie(wr, labels, timestamp, m.GetUntyped().GetValue())
default:
return 0.
err = errors.New("unsupported metric type")
}
return err
}
func makeLabels(labelsMap map[string]string) []prompb.Label {
// build labels name list
sortedLabelNames := make([]string, 0, len(labelsMap))
for label := range labelsMap {
sortedLabelNames = append(sortedLabelNames, label)
}
// sort labels name in lexicographical order
sort.Strings(sortedLabelNames)
var labels []prompb.Label
for _, label := range sortedLabelNames {
labels = append(labels, prompb.Label{
Name: label,
Value: labelsMap[label],
})
}
return labels
}
func makeLabelsMap(m *dto.Metric, metricName string, extraLabels map[string]string) map[string]string {
// build labels map
labels := make(map[string]string, len(m.Label)+len(extraLabels))
labels[model.MetricNameLabel] = metricName
// add extra labels
for key, value := range extraLabels {
labels[key] = value
}
// add metric labels
for _, label := range m.Label {
labelname := label.GetName()
if labelname == model.JobLabel {
labelname = fmt.Sprintf("%s%s", model.ExportedLabelPrefix, labelname)
}
labels[labelname] = label.GetValue()
}
return labels
}
// ParseMetricsTextReader consumes an io.Reader and returns the MetricFamily.

@ -24,13 +24,130 @@ import (
var writeRequestFixture = &prompb.WriteRequest{
Metadata: []prompb.MetricMetadata{
{
MetricFamilyName: "http_request_duration_seconds",
Type: 3,
Help: "A histogram of the request duration.",
},
{
MetricFamilyName: "http_requests_total",
Type: 1,
Help: "The total number of HTTP requests.",
},
{
MetricFamilyName: "rpc_duration_seconds",
Type: 5,
Help: "A summary of the RPC duration in seconds.",
},
{
MetricFamilyName: "test_metric1",
Type: 2,
Help: "this is a test metric",
Help: "This is a test metric.",
},
},
Timeseries: []prompb.TimeSeries{
{
Labels: []prompb.Label{
{Name: "__name__", Value: "http_request_duration_seconds_bucket"},
{Name: "job", Value: "promtool"},
{Name: "le", Value: "0.1"},
},
Samples: []prompb.Sample{{Value: 33444, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "http_request_duration_seconds_bucket"},
{Name: "job", Value: "promtool"},
{Name: "le", Value: "0.5"},
},
Samples: []prompb.Sample{{Value: 129389, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "http_request_duration_seconds_bucket"},
{Name: "job", Value: "promtool"},
{Name: "le", Value: "1"},
},
Samples: []prompb.Sample{{Value: 133988, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "http_request_duration_seconds_bucket"},
{Name: "job", Value: "promtool"},
{Name: "le", Value: "+Inf"},
},
Samples: []prompb.Sample{{Value: 144320, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "http_request_duration_seconds_sum"},
{Name: "job", Value: "promtool"},
},
Samples: []prompb.Sample{{Value: 53423, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "http_request_duration_seconds_count"},
{Name: "job", Value: "promtool"},
},
Samples: []prompb.Sample{{Value: 144320, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "http_requests_total"},
{Name: "code", Value: "200"},
{Name: "job", Value: "promtool"},
{Name: "method", Value: "post"},
},
Samples: []prompb.Sample{{Value: 1027, Timestamp: 1395066363000}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "http_requests_total"},
{Name: "code", Value: "400"},
{Name: "job", Value: "promtool"},
{Name: "method", Value: "post"},
},
Samples: []prompb.Sample{{Value: 3, Timestamp: 1395066363000}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "rpc_duration_seconds"},
{Name: "job", Value: "promtool"},
{Name: "quantile", Value: "0.01"},
},
Samples: []prompb.Sample{{Value: 3102, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "rpc_duration_seconds"},
{Name: "job", Value: "promtool"},
{Name: "quantile", Value: "0.5"},
},
Samples: []prompb.Sample{{Value: 4773, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "rpc_duration_seconds"},
{Name: "job", Value: "promtool"},
{Name: "quantile", Value: "0.99"},
},
Samples: []prompb.Sample{{Value: 76656, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "rpc_duration_seconds_sum"},
{Name: "job", Value: "promtool"},
},
Samples: []prompb.Sample{{Value: 1.7560473e+07, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "rpc_duration_seconds_count"},
{Name: "job", Value: "promtool"},
},
Samples: []prompb.Sample{{Value: 2693, Timestamp: 1}},
},
{
Labels: []prompb.Label{
{Name: "__name__", Value: "test_metric1"},
@ -58,7 +175,26 @@ var writeRequestFixture = &prompb.WriteRequest{
func TestParseMetricsTextAndFormat(t *testing.T) {
input := bytes.NewReader([]byte(`
# HELP test_metric1 this is a test metric
# HELP http_request_duration_seconds A histogram of the request duration.
# TYPE http_request_duration_seconds histogram
http_request_duration_seconds_bucket{le="0.1"} 33444 1
http_request_duration_seconds_bucket{le="0.5"} 129389 1
http_request_duration_seconds_bucket{le="1"} 133988 1
http_request_duration_seconds_bucket{le="+Inf"} 144320 1
http_request_duration_seconds_sum 53423 1
http_request_duration_seconds_count 144320 1
# HELP http_requests_total The total number of HTTP requests.
# TYPE http_requests_total counter
http_requests_total{method="post",code="200"} 1027 1395066363000
http_requests_total{method="post",code="400"} 3 1395066363000
# HELP rpc_duration_seconds A summary of the RPC duration in seconds.
# TYPE rpc_duration_seconds summary
rpc_duration_seconds{quantile="0.01"} 3102 1
rpc_duration_seconds{quantile="0.5"} 4773 1
rpc_duration_seconds{quantile="0.99"} 76656 1
rpc_duration_seconds_sum 1.7560473e+07 1
rpc_duration_seconds_count 2693 1
# HELP test_metric1 This is a test metric.
# TYPE test_metric1 gauge
test_metric1{b="c",baz="qux",d="e",foo="bar"} 1 1
test_metric1{b="c",baz="qux",d="e",foo="bar"} 2 1

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