Exemple #1
0
func (h *histogram) Write(out *dto.Metric) error {
	his := &dto.Histogram{}
	buckets := make([]*dto.Bucket, len(h.upperBounds))

	his.SampleSum = proto.Float64(math.Float64frombits(atomic.LoadUint64(&h.sumBits)))
	his.SampleCount = proto.Uint64(atomic.LoadUint64(&h.count))
	var count uint64
	for i, upperBound := range h.upperBounds {
		count += atomic.LoadUint64(&h.counts[i])
		buckets[i] = &dto.Bucket{
			CumulativeCount: proto.Uint64(count),
			UpperBound:      proto.Float64(upperBound),
		}
	}
	his.Bucket = buckets
	out.Histogram = his
	out.Label = h.labelPairs
	return nil
}
Exemple #2
0
func (h *constHistogram) Write(out *dto.Metric) error {
	his := &dto.Histogram{}
	buckets := make([]*dto.Bucket, 0, len(h.buckets))

	his.SampleCount = proto.Uint64(h.count)
	his.SampleSum = proto.Float64(h.sum)

	for upperBound, count := range h.buckets {
		buckets = append(buckets, &dto.Bucket{
			CumulativeCount: proto.Uint64(count),
			UpperBound:      proto.Float64(upperBound),
		})
	}

	if len(buckets) > 0 {
		sort.Sort(buckSort(buckets))
	}
	his.Bucket = buckets

	out.Histogram = his
	out.Label = h.labelPairs

	return nil
}
Exemple #3
0
func (s *summary) Write(out *dto.Metric) error {
	sum := &dto.Summary{}
	qs := make([]*dto.Quantile, 0, len(s.objectives))

	s.bufMtx.Lock()
	s.mtx.Lock()
	// Swap bufs even if hotBuf is empty to set new hotBufExpTime.
	s.swapBufs(time.Now())
	s.bufMtx.Unlock()

	s.flushColdBuf()
	sum.SampleCount = proto.Uint64(s.cnt)
	sum.SampleSum = proto.Float64(s.sum)

	for _, rank := range s.sortedObjectives {
		var q float64
		if s.headStream.Count() == 0 {
			q = math.NaN()
		} else {
			q = s.headStream.Query(rank)
		}
		qs = append(qs, &dto.Quantile{
			Quantile: proto.Float64(rank),
			Value:    proto.Float64(q),
		})
	}

	s.mtx.Unlock()

	if len(qs) > 0 {
		sort.Sort(quantSort(qs))
	}
	sum.Quantile = qs

	out.Summary = sum
	out.Label = s.labelPairs
	return nil
}
Exemple #4
0
func (s *constSummary) Write(out *dto.Metric) error {
	sum := &dto.Summary{}
	qs := make([]*dto.Quantile, 0, len(s.quantiles))

	sum.SampleCount = proto.Uint64(s.count)
	sum.SampleSum = proto.Float64(s.sum)

	for rank, q := range s.quantiles {
		qs = append(qs, &dto.Quantile{
			Quantile: proto.Float64(rank),
			Value:    proto.Float64(q),
		})
	}

	if len(qs) > 0 {
		sort.Sort(quantSort(qs))
	}
	sum.Quantile = qs

	out.Summary = sum
	out.Label = s.labelPairs

	return nil
}
Exemple #5
0
func testCreate(t testing.TB) {
	var scenarios = []struct {
		in  *dto.MetricFamily
		out string
	}{
		// 0: Counter, NaN as value, timestamp given.
		{
			in: &dto.MetricFamily{
				Name: proto.String("name"),
				Help: proto.String("two-line\n doc  str\\ing"),
				Type: dto.MetricType_COUNTER.Enum(),
				Metric: []*dto.Metric{
					&dto.Metric{
						Label: []*dto.LabelPair{
							&dto.LabelPair{
								Name:  proto.String("labelname"),
								Value: proto.String("val1"),
							},
							&dto.LabelPair{
								Name:  proto.String("basename"),
								Value: proto.String("basevalue"),
							},
						},
						Counter: &dto.Counter{
							Value: proto.Float64(math.NaN()),
						},
					},
					&dto.Metric{
						Label: []*dto.LabelPair{
							&dto.LabelPair{
								Name:  proto.String("labelname"),
								Value: proto.String("val2"),
							},
							&dto.LabelPair{
								Name:  proto.String("basename"),
								Value: proto.String("basevalue"),
							},
						},
						Counter: &dto.Counter{
							Value: proto.Float64(.23),
						},
						TimestampMs: proto.Int64(1234567890),
					},
				},
			},
			out: `# HELP name two-line\n doc  str\\ing
# TYPE name counter
name{labelname="val1",basename="basevalue"} NaN
name{labelname="val2",basename="basevalue"} 0.23 1234567890
`,
		},
		// 1: Gauge, some escaping required, +Inf as value, multi-byte characters in label values.
		{
			in: &dto.MetricFamily{
				Name: proto.String("gauge_name"),
				Help: proto.String("gauge\ndoc\nstr\"ing"),
				Type: dto.MetricType_GAUGE.Enum(),
				Metric: []*dto.Metric{
					&dto.Metric{
						Label: []*dto.LabelPair{
							&dto.LabelPair{
								Name:  proto.String("name_1"),
								Value: proto.String("val with\nnew line"),
							},
							&dto.LabelPair{
								Name:  proto.String("name_2"),
								Value: proto.String("val with \\backslash and \"quotes\""),
							},
						},
						Gauge: &dto.Gauge{
							Value: proto.Float64(math.Inf(+1)),
						},
					},
					&dto.Metric{
						Label: []*dto.LabelPair{
							&dto.LabelPair{
								Name:  proto.String("name_1"),
								Value: proto.String("Björn"),
							},
							&dto.LabelPair{
								Name:  proto.String("name_2"),
								Value: proto.String("佖佥"),
							},
						},
						Gauge: &dto.Gauge{
							Value: proto.Float64(3.14E42),
						},
					},
				},
			},
			out: `# HELP gauge_name gauge\ndoc\nstr"ing
# TYPE gauge_name gauge
gauge_name{name_1="val with\nnew line",name_2="val with \\backslash and \"quotes\""} +Inf
gauge_name{name_1="Björn",name_2="佖佥"} 3.14e+42
`,
		},
		// 2: Untyped, no help, one sample with no labels and -Inf as value, another sample with one label.
		{
			in: &dto.MetricFamily{
				Name: proto.String("untyped_name"),
				Type: dto.MetricType_UNTYPED.Enum(),
				Metric: []*dto.Metric{
					&dto.Metric{
						Untyped: &dto.Untyped{
							Value: proto.Float64(math.Inf(-1)),
						},
					},
					&dto.Metric{
						Label: []*dto.LabelPair{
							&dto.LabelPair{
								Name:  proto.String("name_1"),
								Value: proto.String("value 1"),
							},
						},
						Untyped: &dto.Untyped{
							Value: proto.Float64(-1.23e-45),
						},
					},
				},
			},
			out: `# TYPE untyped_name untyped
untyped_name -Inf
untyped_name{name_1="value 1"} -1.23e-45
`,
		},
		// 3: Summary.
		{
			in: &dto.MetricFamily{
				Name: proto.String("summary_name"),
				Help: proto.String("summary docstring"),
				Type: dto.MetricType_SUMMARY.Enum(),
				Metric: []*dto.Metric{
					&dto.Metric{
						Summary: &dto.Summary{
							SampleCount: proto.Uint64(42),
							SampleSum:   proto.Float64(-3.4567),
							Quantile: []*dto.Quantile{
								&dto.Quantile{
									Quantile: proto.Float64(0.5),
									Value:    proto.Float64(-1.23),
								},
								&dto.Quantile{
									Quantile: proto.Float64(0.9),
									Value:    proto.Float64(.2342354),
								},
								&dto.Quantile{
									Quantile: proto.Float64(0.99),
									Value:    proto.Float64(0),
								},
							},
						},
					},
					&dto.Metric{
						Label: []*dto.LabelPair{
							&dto.LabelPair{
								Name:  proto.String("name_1"),
								Value: proto.String("value 1"),
							},
							&dto.LabelPair{
								Name:  proto.String("name_2"),
								Value: proto.String("value 2"),
							},
						},
						Summary: &dto.Summary{
							SampleCount: proto.Uint64(4711),
							SampleSum:   proto.Float64(2010.1971),
							Quantile: []*dto.Quantile{
								&dto.Quantile{
									Quantile: proto.Float64(0.5),
									Value:    proto.Float64(1),
								},
								&dto.Quantile{
									Quantile: proto.Float64(0.9),
									Value:    proto.Float64(2),
								},
								&dto.Quantile{
									Quantile: proto.Float64(0.99),
									Value:    proto.Float64(3),
								},
							},
						},
					},
				},
			},
			out: `# HELP summary_name summary docstring
# TYPE summary_name summary
summary_name{quantile="0.5"} -1.23
summary_name{quantile="0.9"} 0.2342354
summary_name{quantile="0.99"} 0
summary_name_sum -3.4567
summary_name_count 42
summary_name{name_1="value 1",name_2="value 2",quantile="0.5"} 1
summary_name{name_1="value 1",name_2="value 2",quantile="0.9"} 2
summary_name{name_1="value 1",name_2="value 2",quantile="0.99"} 3
summary_name_sum{name_1="value 1",name_2="value 2"} 2010.1971
summary_name_count{name_1="value 1",name_2="value 2"} 4711
`,
		},
		// 4: Histogram
		{
			in: &dto.MetricFamily{
				Name: proto.String("request_duration_microseconds"),
				Help: proto.String("The response latency."),
				Type: dto.MetricType_HISTOGRAM.Enum(),
				Metric: []*dto.Metric{
					&dto.Metric{
						Histogram: &dto.Histogram{
							SampleCount: proto.Uint64(2693),
							SampleSum:   proto.Float64(1756047.3),
							Bucket: []*dto.Bucket{
								&dto.Bucket{
									UpperBound:      proto.Float64(100),
									CumulativeCount: proto.Uint64(123),
								},
								&dto.Bucket{
									UpperBound:      proto.Float64(120),
									CumulativeCount: proto.Uint64(412),
								},
								&dto.Bucket{
									UpperBound:      proto.Float64(144),
									CumulativeCount: proto.Uint64(592),
								},
								&dto.Bucket{
									UpperBound:      proto.Float64(172.8),
									CumulativeCount: proto.Uint64(1524),
								},
								&dto.Bucket{
									UpperBound:      proto.Float64(math.Inf(+1)),
									CumulativeCount: proto.Uint64(2693),
								},
							},
						},
					},
				},
			},
			out: `# HELP request_duration_microseconds The response latency.
# TYPE request_duration_microseconds histogram
request_duration_microseconds_bucket{le="100"} 123
request_duration_microseconds_bucket{le="120"} 412
request_duration_microseconds_bucket{le="144"} 592
request_duration_microseconds_bucket{le="172.8"} 1524
request_duration_microseconds_bucket{le="+Inf"} 2693
request_duration_microseconds_sum 1.7560473e+06
request_duration_microseconds_count 2693
`,
		},
		// 5: Histogram with missing +Inf bucket.
		{
			in: &dto.MetricFamily{
				Name: proto.String("request_duration_microseconds"),
				Help: proto.String("The response latency."),
				Type: dto.MetricType_HISTOGRAM.Enum(),
				Metric: []*dto.Metric{
					&dto.Metric{
						Histogram: &dto.Histogram{
							SampleCount: proto.Uint64(2693),
							SampleSum:   proto.Float64(1756047.3),
							Bucket: []*dto.Bucket{
								&dto.Bucket{
									UpperBound:      proto.Float64(100),
									CumulativeCount: proto.Uint64(123),
								},
								&dto.Bucket{
									UpperBound:      proto.Float64(120),
									CumulativeCount: proto.Uint64(412),
								},
								&dto.Bucket{
									UpperBound:      proto.Float64(144),
									CumulativeCount: proto.Uint64(592),
								},
								&dto.Bucket{
									UpperBound:      proto.Float64(172.8),
									CumulativeCount: proto.Uint64(1524),
								},
							},
						},
					},
				},
			},
			out: `# HELP request_duration_microseconds The response latency.
# TYPE request_duration_microseconds histogram
request_duration_microseconds_bucket{le="100"} 123
request_duration_microseconds_bucket{le="120"} 412
request_duration_microseconds_bucket{le="144"} 592
request_duration_microseconds_bucket{le="172.8"} 1524
request_duration_microseconds_bucket{le="+Inf"} 2693
request_duration_microseconds_sum 1.7560473e+06
request_duration_microseconds_count 2693
`,
		},
	}

	for i, scenario := range scenarios {
		out := bytes.NewBuffer(make([]byte, 0, len(scenario.out)))
		n, err := MetricFamilyToText(out, scenario.in)
		if err != nil {
			t.Errorf("%d. error: %s", i, err)
			continue
		}
		if expected, got := len(scenario.out), n; expected != got {
			t.Errorf(
				"%d. expected %d bytes written, got %d",
				i, expected, got,
			)
		}
		if expected, got := scenario.out, out.String(); expected != got {
			t.Errorf(
				"%d. expected out=%q, got %q",
				i, expected, got,
			)
		}
	}

}
Exemple #6
0
func testParse(t testing.TB) {
	var scenarios = []struct {
		in  string
		out []*dto.MetricFamily
	}{
		// 0: Empty lines as input.
		{
			in: `

`,
			out: []*dto.MetricFamily{},
		},
		// 1: Minimal case.
		{
			in: `
minimal_metric 1.234
another_metric -3e3 103948
# Even that:
no_labels{} 3
# HELP line for non-existing metric will be ignored.
`,
			out: []*dto.MetricFamily{
				&dto.MetricFamily{
					Name: proto.String("minimal_metric"),
					Type: dto.MetricType_UNTYPED.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Untyped: &dto.Untyped{
								Value: proto.Float64(1.234),
							},
						},
					},
				},
				&dto.MetricFamily{
					Name: proto.String("another_metric"),
					Type: dto.MetricType_UNTYPED.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Untyped: &dto.Untyped{
								Value: proto.Float64(-3e3),
							},
							TimestampMs: proto.Int64(103948),
						},
					},
				},
				&dto.MetricFamily{
					Name: proto.String("no_labels"),
					Type: dto.MetricType_UNTYPED.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Untyped: &dto.Untyped{
								Value: proto.Float64(3),
							},
						},
					},
				},
			},
		},
		// 2: Counters & gauges, docstrings, various whitespace, escape sequences.
		{
			in: `
# A normal comment.
#
# TYPE name counter
name{labelname="val1",basename="basevalue"} NaN
name {labelname="val2",basename="base\"v\\al\nue"} 0.23 1234567890
# HELP name two-line\n doc  str\\ing

 # HELP  name2  	doc str"ing 2
  #    TYPE    name2 gauge
name2{labelname="val2"	,basename   =   "basevalue2"		} +Inf 54321
name2{ labelname = "val1" , }-Inf
`,
			out: []*dto.MetricFamily{
				&dto.MetricFamily{
					Name: proto.String("name"),
					Help: proto.String("two-line\n doc  str\\ing"),
					Type: dto.MetricType_COUNTER.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("labelname"),
									Value: proto.String("val1"),
								},
								&dto.LabelPair{
									Name:  proto.String("basename"),
									Value: proto.String("basevalue"),
								},
							},
							Counter: &dto.Counter{
								Value: proto.Float64(math.NaN()),
							},
						},
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("labelname"),
									Value: proto.String("val2"),
								},
								&dto.LabelPair{
									Name:  proto.String("basename"),
									Value: proto.String("base\"v\\al\nue"),
								},
							},
							Counter: &dto.Counter{
								Value: proto.Float64(.23),
							},
							TimestampMs: proto.Int64(1234567890),
						},
					},
				},
				&dto.MetricFamily{
					Name: proto.String("name2"),
					Help: proto.String("doc str\"ing 2"),
					Type: dto.MetricType_GAUGE.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("labelname"),
									Value: proto.String("val2"),
								},
								&dto.LabelPair{
									Name:  proto.String("basename"),
									Value: proto.String("basevalue2"),
								},
							},
							Gauge: &dto.Gauge{
								Value: proto.Float64(math.Inf(+1)),
							},
							TimestampMs: proto.Int64(54321),
						},
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("labelname"),
									Value: proto.String("val1"),
								},
							},
							Gauge: &dto.Gauge{
								Value: proto.Float64(math.Inf(-1)),
							},
						},
					},
				},
			},
		},
		// 3: The evil summary, mixed with other types and funny comments.
		{
			in: `
# TYPE my_summary summary
my_summary{n1="val1",quantile="0.5"} 110
decoy -1 -2
my_summary{n1="val1",quantile="0.9"} 140 1
my_summary_count{n1="val1"} 42
# Latest timestamp wins in case of a summary.
my_summary_sum{n1="val1"} 4711 2
fake_sum{n1="val1"} 2001
# TYPE another_summary summary
another_summary_count{n2="val2",n1="val1"} 20
my_summary_count{n2="val2",n1="val1"} 5 5
another_summary{n1="val1",n2="val2",quantile=".3"} -1.2
my_summary_sum{n1="val2"} 08 15
my_summary{n1="val3", quantile="0.2"} 4711
  my_summary{n1="val1",n2="val2",quantile="-12.34",} NaN
# some
# funny comments
# HELP 
# HELP
# HELP my_summary
# HELP my_summary 
`,
			out: []*dto.MetricFamily{
				&dto.MetricFamily{
					Name: proto.String("fake_sum"),
					Type: dto.MetricType_UNTYPED.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("n1"),
									Value: proto.String("val1"),
								},
							},
							Untyped: &dto.Untyped{
								Value: proto.Float64(2001),
							},
						},
					},
				},
				&dto.MetricFamily{
					Name: proto.String("decoy"),
					Type: dto.MetricType_UNTYPED.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Untyped: &dto.Untyped{
								Value: proto.Float64(-1),
							},
							TimestampMs: proto.Int64(-2),
						},
					},
				},
				&dto.MetricFamily{
					Name: proto.String("my_summary"),
					Type: dto.MetricType_SUMMARY.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("n1"),
									Value: proto.String("val1"),
								},
							},
							Summary: &dto.Summary{
								SampleCount: proto.Uint64(42),
								SampleSum:   proto.Float64(4711),
								Quantile: []*dto.Quantile{
									&dto.Quantile{
										Quantile: proto.Float64(0.5),
										Value:    proto.Float64(110),
									},
									&dto.Quantile{
										Quantile: proto.Float64(0.9),
										Value:    proto.Float64(140),
									},
								},
							},
							TimestampMs: proto.Int64(2),
						},
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("n2"),
									Value: proto.String("val2"),
								},
								&dto.LabelPair{
									Name:  proto.String("n1"),
									Value: proto.String("val1"),
								},
							},
							Summary: &dto.Summary{
								SampleCount: proto.Uint64(5),
								Quantile: []*dto.Quantile{
									&dto.Quantile{
										Quantile: proto.Float64(-12.34),
										Value:    proto.Float64(math.NaN()),
									},
								},
							},
							TimestampMs: proto.Int64(5),
						},
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("n1"),
									Value: proto.String("val2"),
								},
							},
							Summary: &dto.Summary{
								SampleSum: proto.Float64(8),
							},
							TimestampMs: proto.Int64(15),
						},
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("n1"),
									Value: proto.String("val3"),
								},
							},
							Summary: &dto.Summary{
								Quantile: []*dto.Quantile{
									&dto.Quantile{
										Quantile: proto.Float64(0.2),
										Value:    proto.Float64(4711),
									},
								},
							},
						},
					},
				},
				&dto.MetricFamily{
					Name: proto.String("another_summary"),
					Type: dto.MetricType_SUMMARY.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Label: []*dto.LabelPair{
								&dto.LabelPair{
									Name:  proto.String("n2"),
									Value: proto.String("val2"),
								},
								&dto.LabelPair{
									Name:  proto.String("n1"),
									Value: proto.String("val1"),
								},
							},
							Summary: &dto.Summary{
								SampleCount: proto.Uint64(20),
								Quantile: []*dto.Quantile{
									&dto.Quantile{
										Quantile: proto.Float64(0.3),
										Value:    proto.Float64(-1.2),
									},
								},
							},
						},
					},
				},
			},
		},
		// 4: The histogram.
		{
			in: `
# HELP request_duration_microseconds The response latency.
# TYPE request_duration_microseconds histogram
request_duration_microseconds_bucket{le="100"} 123
request_duration_microseconds_bucket{le="120"} 412
request_duration_microseconds_bucket{le="144"} 592
request_duration_microseconds_bucket{le="172.8"} 1524
request_duration_microseconds_bucket{le="+Inf"} 2693
request_duration_microseconds_sum 1.7560473e+06
request_duration_microseconds_count 2693
`,
			out: []*dto.MetricFamily{
				{
					Name: proto.String("request_duration_microseconds"),
					Help: proto.String("The response latency."),
					Type: dto.MetricType_HISTOGRAM.Enum(),
					Metric: []*dto.Metric{
						&dto.Metric{
							Histogram: &dto.Histogram{
								SampleCount: proto.Uint64(2693),
								SampleSum:   proto.Float64(1756047.3),
								Bucket: []*dto.Bucket{
									&dto.Bucket{
										UpperBound:      proto.Float64(100),
										CumulativeCount: proto.Uint64(123),
									},
									&dto.Bucket{
										UpperBound:      proto.Float64(120),
										CumulativeCount: proto.Uint64(412),
									},
									&dto.Bucket{
										UpperBound:      proto.Float64(144),
										CumulativeCount: proto.Uint64(592),
									},
									&dto.Bucket{
										UpperBound:      proto.Float64(172.8),
										CumulativeCount: proto.Uint64(1524),
									},
									&dto.Bucket{
										UpperBound:      proto.Float64(math.Inf(+1)),
										CumulativeCount: proto.Uint64(2693),
									},
								},
							},
						},
					},
				},
			},
		},
	}

	for i, scenario := range scenarios {
		out, err := parser.TextToMetricFamilies(strings.NewReader(scenario.in))
		if err != nil {
			t.Errorf("%d. error: %s", i, err)
			continue
		}
		if expected, got := len(scenario.out), len(out); expected != got {
			t.Errorf(
				"%d. expected %d MetricFamilies, got %d",
				i, expected, got,
			)
		}
		for _, expected := range scenario.out {
			got, ok := out[expected.GetName()]
			if !ok {
				t.Errorf(
					"%d. expected MetricFamily %q, found none",
					i, expected.GetName(),
				)
				continue
			}
			if expected.String() != got.String() {
				t.Errorf(
					"%d. expected MetricFamily %s, got %s",
					i, expected, got,
				)
			}
		}
	}
}
Exemple #7
0
// readingValue represents the state where the last byte read (now in
// p.currentByte) is the first byte of the sample value (i.e. a float).
func (p *Parser) readingValue() stateFn {
	// When we are here, we have read all the labels, so for the
	// special case of a summary/histogram, we can finally find out
	// if the metric already exists.
	if p.currentMF.GetType() == dto.MetricType_SUMMARY {
		signature := model.LabelsToSignature(p.currentLabels)
		if summary := p.summaries[signature]; summary != nil {
			p.currentMetric = summary
		} else {
			p.summaries[signature] = p.currentMetric
			p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
		}
	} else if p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
		signature := model.LabelsToSignature(p.currentLabels)
		if histogram := p.histograms[signature]; histogram != nil {
			p.currentMetric = histogram
		} else {
			p.histograms[signature] = p.currentMetric
			p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
		}
	} else {
		p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
	}
	if p.readTokenUntilWhitespace(); p.err != nil {
		return nil // Unexpected end of input.
	}
	value, err := strconv.ParseFloat(p.currentToken.String(), 64)
	if err != nil {
		// Create a more helpful error message.
		p.parseError(fmt.Sprintf("expected float as value, got %q", p.currentToken.String()))
		return nil
	}
	switch p.currentMF.GetType() {
	case dto.MetricType_COUNTER:
		p.currentMetric.Counter = &dto.Counter{Value: proto.Float64(value)}
	case dto.MetricType_GAUGE:
		p.currentMetric.Gauge = &dto.Gauge{Value: proto.Float64(value)}
	case dto.MetricType_UNTYPED:
		p.currentMetric.Untyped = &dto.Untyped{Value: proto.Float64(value)}
	case dto.MetricType_SUMMARY:
		// *sigh*
		if p.currentMetric.Summary == nil {
			p.currentMetric.Summary = &dto.Summary{}
		}
		switch {
		case p.currentIsSummaryCount:
			p.currentMetric.Summary.SampleCount = proto.Uint64(uint64(value))
		case p.currentIsSummarySum:
			p.currentMetric.Summary.SampleSum = proto.Float64(value)
		case !math.IsNaN(p.currentQuantile):
			p.currentMetric.Summary.Quantile = append(
				p.currentMetric.Summary.Quantile,
				&dto.Quantile{
					Quantile: proto.Float64(p.currentQuantile),
					Value:    proto.Float64(value),
				},
			)
		}
	case dto.MetricType_HISTOGRAM:
		// *sigh*
		if p.currentMetric.Histogram == nil {
			p.currentMetric.Histogram = &dto.Histogram{}
		}
		switch {
		case p.currentIsHistogramCount:
			p.currentMetric.Histogram.SampleCount = proto.Uint64(uint64(value))
		case p.currentIsHistogramSum:
			p.currentMetric.Histogram.SampleSum = proto.Float64(value)
		case !math.IsNaN(p.currentBucket):
			p.currentMetric.Histogram.Bucket = append(
				p.currentMetric.Histogram.Bucket,
				&dto.Bucket{
					UpperBound:      proto.Float64(p.currentBucket),
					CumulativeCount: proto.Uint64(uint64(value)),
				},
			)
		}
	default:
		p.err = fmt.Errorf("unexpected type for metric name %q", p.currentMF.GetName())
	}
	if p.currentByte == '\n' {
		return p.startOfLine
	}
	return p.startTimestamp
}