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prometheus/model/textparse/protobufparse_test.go
zenador 32ee1b15de
Fix error on ingesting out-of-order exemplars (#13021) 
Fix and improve ingesting exemplars for native histograms.

See code comment for a detailed explanation of the algorithm.

Note that this changes the current behavior for all kind of samples slightly: We now allow exemplars with the same timestamp as during the last scrape if the value or the labels have changed.

Also note that we now do not ingest exemplars without timestamps for native histograms anymore.

Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>
Signed-off-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
Co-authored-by: Björn Rabenstein <github@rabenste.in>

---------

Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>
Signed-off-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
Signed-off-by: zenador <zenador@users.noreply.github.com>
Co-authored-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
Co-authored-by: Björn Rabenstein <github@rabenste.in>
2023-11-16 15:07:37 +01:00

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// Copyright 2021 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package textparse
import (
"bytes"
"encoding/binary"
"errors"
"io"
"testing"
"github.com/gogo/protobuf/proto"
"github.com/gogo/protobuf/types"
"github.com/stretchr/testify/require"
"github.com/prometheus/prometheus/model/exemplar"
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/model/labels"
dto "github.com/prometheus/prometheus/prompb/io/prometheus/client"
)
func createTestProtoBuf(t *testing.T) *bytes.Buffer {
testMetricFamilies := []string{
`name: "go_build_info"
help: "Build information about the main Go module."
type: GAUGE
metric: <
label: <
name: "checksum"
value: ""
>
label: <
name: "path"
value: "github.com/prometheus/client_golang"
>
label: <
name: "version"
value: "(devel)"
>
gauge: <
value: 1
>
>
`,
`name: "go_memstats_alloc_bytes_total"
help: "Total number of bytes allocated, even if freed."
type: COUNTER
metric: <
counter: <
value: 1.546544e+06
exemplar: <
label: <
name: "dummyID"
value: "42"
>
value: 12
timestamp: <
seconds: 1625851151
nanos: 233181499
>
>
>
>
`,
`name: "something_untyped"
help: "Just to test the untyped type."
type: UNTYPED
metric: <
untyped: <
value: 42
>
timestamp_ms: 1234567
>
`,
`name: "test_histogram"
help: "Test histogram with many buckets removed to keep it manageable in size."
type: HISTOGRAM
metric: <
histogram: <
sample_count: 175
sample_sum: 0.0008280461746287094
bucket: <
cumulative_count: 2
upper_bound: -0.0004899999999999998
>
bucket: <
cumulative_count: 4
upper_bound: -0.0003899999999999998
exemplar: <
label: <
name: "dummyID"
value: "59727"
>
value: -0.00039
timestamp: <
seconds: 1625851155
nanos: 146848499
>
>
>
bucket: <
cumulative_count: 16
upper_bound: -0.0002899999999999998
exemplar: <
label: <
name: "dummyID"
value: "5617"
>
value: -0.00029
>
>
schema: 3
zero_threshold: 2.938735877055719e-39
zero_count: 2
negative_span: <
offset: -162
length: 1
>
negative_span: <
offset: 23
length: 4
>
negative_delta: 1
negative_delta: 3
negative_delta: -2
negative_delta: -1
negative_delta: 1
positive_span: <
offset: -161
length: 1
>
positive_span: <
offset: 8
length: 3
>
positive_delta: 1
positive_delta: 2
positive_delta: -1
positive_delta: -1
>
timestamp_ms: 1234568
>
`,
`name: "test_gauge_histogram"
help: "Like test_histogram but as gauge histogram."
type: GAUGE_HISTOGRAM
metric: <
histogram: <
sample_count: 175
sample_sum: 0.0008280461746287094
bucket: <
cumulative_count: 2
upper_bound: -0.0004899999999999998
>
bucket: <
cumulative_count: 4
upper_bound: -0.0003899999999999998
exemplar: <
label: <
name: "dummyID"
value: "59727"
>
value: -0.00039
timestamp: <
seconds: 1625851155
nanos: 146848499
>
>
>
bucket: <
cumulative_count: 16
upper_bound: -0.0002899999999999998
exemplar: <
label: <
name: "dummyID"
value: "5617"
>
value: -0.00029
>
>
schema: 3
zero_threshold: 2.938735877055719e-39
zero_count: 2
negative_span: <
offset: -162
length: 1
>
negative_span: <
offset: 23
length: 4
>
negative_delta: 1
negative_delta: 3
negative_delta: -2
negative_delta: -1
negative_delta: 1
positive_span: <
offset: -161
length: 1
>
positive_span: <
offset: 8
length: 3
>
positive_delta: 1
positive_delta: 2
positive_delta: -1
positive_delta: -1
>
timestamp_ms: 1234568
>
`,
`name: "test_float_histogram"
help: "Test float histogram with many buckets removed to keep it manageable in size."
type: HISTOGRAM
metric: <
histogram: <
sample_count_float: 175.0
sample_sum: 0.0008280461746287094
bucket: <
cumulative_count_float: 2.0
upper_bound: -0.0004899999999999998
>
bucket: <
cumulative_count_float: 4.0
upper_bound: -0.0003899999999999998
exemplar: <
label: <
name: "dummyID"
value: "59727"
>
value: -0.00039
timestamp: <
seconds: 1625851155
nanos: 146848499
>
>
>
bucket: <
cumulative_count_float: 16
upper_bound: -0.0002899999999999998
exemplar: <
label: <
name: "dummyID"
value: "5617"
>
value: -0.00029
>
>
schema: 3
zero_threshold: 2.938735877055719e-39
zero_count_float: 2.0
negative_span: <
offset: -162
length: 1
>
negative_span: <
offset: 23
length: 4
>
negative_count: 1.0
negative_count: 3.0
negative_count: -2.0
negative_count: -1.0
negative_count: 1.0
positive_span: <
offset: -161
length: 1
>
positive_span: <
offset: 8
length: 3
>
positive_count: 1.0
positive_count: 2.0
positive_count: -1.0
positive_count: -1.0
>
timestamp_ms: 1234568
>
`,
`name: "test_gauge_float_histogram"
help: "Like test_float_histogram but as gauge histogram."
type: GAUGE_HISTOGRAM
metric: <
histogram: <
sample_count_float: 175.0
sample_sum: 0.0008280461746287094
bucket: <
cumulative_count_float: 2.0
upper_bound: -0.0004899999999999998
>
bucket: <
cumulative_count_float: 4.0
upper_bound: -0.0003899999999999998
exemplar: <
label: <
name: "dummyID"
value: "59727"
>
value: -0.00039
timestamp: <
seconds: 1625851155
nanos: 146848499
>
>
>
bucket: <
cumulative_count_float: 16
upper_bound: -0.0002899999999999998
exemplar: <
label: <
name: "dummyID"
value: "5617"
>
value: -0.00029
>
>
schema: 3
zero_threshold: 2.938735877055719e-39
zero_count_float: 2.0
negative_span: <
offset: -162
length: 1
>
negative_span: <
offset: 23
length: 4
>
negative_count: 1.0
negative_count: 3.0
negative_count: -2.0
negative_count: -1.0
negative_count: 1.0
positive_span: <
offset: -161
length: 1
>
positive_span: <
offset: 8
length: 3
>
positive_count: 1.0
positive_count: 2.0
positive_count: -1.0
positive_count: -1.0
>
timestamp_ms: 1234568
>
`,
`name: "test_histogram2"
help: "Similar histogram as before but now without sparse buckets."
type: HISTOGRAM
metric: <
histogram: <
sample_count: 175
sample_sum: 0.000828
bucket: <
cumulative_count: 2
upper_bound: -0.00048
>
bucket: <
cumulative_count: 4
upper_bound: -0.00038
exemplar: <
label: <
name: "dummyID"
value: "59727"
>
value: -0.00038
timestamp: <
seconds: 1625851153
nanos: 146848499
>
>
>
bucket: <
cumulative_count: 16
upper_bound: 1
exemplar: <
label: <
name: "dummyID"
value: "5617"
>
value: -0.000295
>
>
schema: 0
zero_threshold: 0
>
>
`,
`name: "test_histogram_family"
help: "Test histogram metric family with two very simple histograms."
type: HISTOGRAM
metric: <
label: <
name: "foo"
value: "bar"
>
histogram: <
sample_count: 5
sample_sum: 12.1
bucket: <
cumulative_count: 2
upper_bound: 1.1
>
bucket: <
cumulative_count: 3
upper_bound: 2.2
>
schema: 3
positive_span: <
offset: 8
length: 2
>
positive_delta: 2
positive_delta: 1
>
>
metric: <
label: <
name: "foo"
value: "baz"
>
histogram: <
sample_count: 6
sample_sum: 13.1
bucket: <
cumulative_count: 1
upper_bound: 1.1
>
bucket: <
cumulative_count: 5
upper_bound: 2.2
>
schema: 3
positive_span: <
offset: 8
length: 2
>
positive_delta: 1
positive_delta: 4
>
>
`,
`name: "test_float_histogram_with_zerothreshold_zero"
help: "Test float histogram with a zero threshold of zero."
type: HISTOGRAM
metric: <
histogram: <
sample_count_float: 5.0
sample_sum: 12.1
schema: 3
positive_span: <
offset: 8
length: 2
>
positive_count: 2.0
positive_count: 3.0
>
>
`,
`name: "rpc_durations_seconds"
help: "RPC latency distributions."
type: SUMMARY
metric: <
label: <
name: "service"
value: "exponential"
>
summary: <
sample_count: 262
sample_sum: 0.00025551262820703587
quantile: <
quantile: 0.5
value: 6.442786329648548e-07
>
quantile: <
quantile: 0.9
value: 1.9435742936658396e-06
>
quantile: <
quantile: 0.99
value: 4.0471608667037015e-06
>
>
>
`,
`name: "without_quantiles"
help: "A summary without quantiles."
type: SUMMARY
metric: <
summary: <
sample_count: 42
sample_sum: 1.234
>
>
`,
`name: "empty_histogram"
help: "A histogram without observations and with a zero threshold of zero but with a no-op span to identify it as a native histogram."
type: HISTOGRAM
metric: <
histogram: <
positive_span: <
offset: 0
length: 0
>
>
>
`,
`name: "test_counter_with_createdtimestamp"
help: "A counter with a created timestamp."
type: COUNTER
metric: <
counter: <
value: 42
created_timestamp: <
seconds: 1
nanos: 1
>
>
>
`,
`name: "test_summary_with_createdtimestamp"
help: "A summary with a created timestamp."
type: SUMMARY
metric: <
summary: <
sample_count: 42
sample_sum: 1.234
created_timestamp: <
seconds: 1
nanos: 1
>
>
>
`,
`name: "test_histogram_with_createdtimestamp"
help: "A histogram with a created timestamp."
type: HISTOGRAM
metric: <
histogram: <
created_timestamp: <
seconds: 1
nanos: 1
>
positive_span: <
offset: 0
length: 0
>
>
>
`,
`name: "test_gaugehistogram_with_createdtimestamp"
help: "A gauge histogram with a created timestamp."
type: GAUGE_HISTOGRAM
metric: <
histogram: <
created_timestamp: <
seconds: 1
nanos: 1
>
positive_span: <
offset: 0
length: 0
>
>
>
`,
}
varintBuf := make([]byte, binary.MaxVarintLen32)
buf := &bytes.Buffer{}
for _, tmf := range testMetricFamilies {
pb := &dto.MetricFamily{}
// From text to proto message.
require.NoError(t, proto.UnmarshalText(tmf, pb))
// From proto message to binary protobuf.
protoBuf, err := proto.Marshal(pb)
require.NoError(t, err)
// Write first length, then binary protobuf.
varintLength := binary.PutUvarint(varintBuf, uint64(len(protoBuf)))
buf.Write(varintBuf[:varintLength])
buf.Write(protoBuf)
}
return buf
}
func TestProtobufParse(t *testing.T) {
type parseResult struct {
lset labels.Labels
m string
t int64
v float64
typ MetricType
help string
unit string
comment string
shs *histogram.Histogram
fhs *histogram.FloatHistogram
e []exemplar.Exemplar
ct *types.Timestamp
}
inputBuf := createTestProtoBuf(t)
scenarios := []struct {
name string
parser Parser
expected []parseResult
}{
{
name: "ignore classic buckets of native histograms",
parser: NewProtobufParser(inputBuf.Bytes(), false),
expected: []parseResult{
{
m: "go_build_info",
help: "Build information about the main Go module.",
},
{
m: "go_build_info",
typ: MetricTypeGauge,
},
{
m: "go_build_info\xFFchecksum\xFF\xFFpath\xFFgithub.com/prometheus/client_golang\xFFversion\xFF(devel)",
v: 1,
lset: labels.FromStrings(
"__name__", "go_build_info",
"checksum", "",
"path", "github.com/prometheus/client_golang",
"version", "(devel)",
),
},
{
m: "go_memstats_alloc_bytes_total",
help: "Total number of bytes allocated, even if freed.",
},
{
m: "go_memstats_alloc_bytes_total",
typ: MetricTypeCounter,
},
{
m: "go_memstats_alloc_bytes_total",
v: 1.546544e+06,
lset: labels.FromStrings(
"__name__", "go_memstats_alloc_bytes_total",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "42"), Value: 12, HasTs: true, Ts: 1625851151233},
},
},
{
m: "something_untyped",
help: "Just to test the untyped type.",
},
{
m: "something_untyped",
typ: MetricTypeUnknown,
},
{
m: "something_untyped",
t: 1234567,
v: 42,
lset: labels.FromStrings(
"__name__", "something_untyped",
),
},
{
m: "test_histogram",
help: "Test histogram with many buckets removed to keep it manageable in size.",
},
{
m: "test_histogram",
typ: MetricTypeHistogram,
},
{
m: "test_histogram",
t: 1234568,
shs: &histogram.Histogram{
Count: 175,
ZeroCount: 2,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []int64{1, 2, -1, -1},
NegativeBuckets: []int64{1, 3, -2, -1, 1},
},
lset: labels.FromStrings(
"__name__", "test_histogram",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{
m: "test_gauge_histogram",
help: "Like test_histogram but as gauge histogram.",
},
{
m: "test_gauge_histogram",
typ: MetricTypeGaugeHistogram,
},
{
m: "test_gauge_histogram",
t: 1234568,
shs: &histogram.Histogram{
CounterResetHint: histogram.GaugeType,
Count: 175,
ZeroCount: 2,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []int64{1, 2, -1, -1},
NegativeBuckets: []int64{1, 3, -2, -1, 1},
},
lset: labels.FromStrings(
"__name__", "test_gauge_histogram",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{
m: "test_float_histogram",
help: "Test float histogram with many buckets removed to keep it manageable in size.",
},
{
m: "test_float_histogram",
typ: MetricTypeHistogram,
},
{
m: "test_float_histogram",
t: 1234568,
fhs: &histogram.FloatHistogram{
Count: 175.0,
ZeroCount: 2.0,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []float64{1.0, 2.0, -1.0, -1.0},
NegativeBuckets: []float64{1.0, 3.0, -2.0, -1.0, 1.0},
},
lset: labels.FromStrings(
"__name__", "test_float_histogram",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{
m: "test_gauge_float_histogram",
help: "Like test_float_histogram but as gauge histogram.",
},
{
m: "test_gauge_float_histogram",
typ: MetricTypeGaugeHistogram,
},
{
m: "test_gauge_float_histogram",
t: 1234568,
fhs: &histogram.FloatHistogram{
CounterResetHint: histogram.GaugeType,
Count: 175.0,
ZeroCount: 2.0,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []float64{1.0, 2.0, -1.0, -1.0},
NegativeBuckets: []float64{1.0, 3.0, -2.0, -1.0, 1.0},
},
lset: labels.FromStrings(
"__name__", "test_gauge_float_histogram",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{
m: "test_histogram2",
help: "Similar histogram as before but now without sparse buckets.",
},
{
m: "test_histogram2",
typ: MetricTypeHistogram,
},
{
m: "test_histogram2_count",
v: 175,
lset: labels.FromStrings(
"__name__", "test_histogram2_count",
),
},
{
m: "test_histogram2_sum",
v: 0.000828,
lset: labels.FromStrings(
"__name__", "test_histogram2_sum",
),
},
{
m: "test_histogram2_bucket\xffle\xff-0.00048",
v: 2,
lset: labels.FromStrings(
"__name__", "test_histogram2_bucket",
"le", "-0.00048",
),
},
{
m: "test_histogram2_bucket\xffle\xff-0.00038",
v: 4,
lset: labels.FromStrings(
"__name__", "test_histogram2_bucket",
"le", "-0.00038",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00038, HasTs: true, Ts: 1625851153146},
},
},
{
m: "test_histogram2_bucket\xffle\xff1.0",
v: 16,
lset: labels.FromStrings(
"__name__", "test_histogram2_bucket",
"le", "1.0",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.000295, HasTs: false},
},
},
{
m: "test_histogram2_bucket\xffle\xff+Inf",
v: 175,
lset: labels.FromStrings(
"__name__", "test_histogram2_bucket",
"le", "+Inf",
),
},
{
m: "test_histogram_family",
help: "Test histogram metric family with two very simple histograms.",
},
{
m: "test_histogram_family",
typ: MetricTypeHistogram,
},
{
m: "test_histogram_family\xfffoo\xffbar",
shs: &histogram.Histogram{
CounterResetHint: histogram.UnknownCounterReset,
Count: 5,
Sum: 12.1,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: 8, Length: 2},
},
NegativeSpans: []histogram.Span{},
PositiveBuckets: []int64{2, 1},
},
lset: labels.FromStrings(
"__name__", "test_histogram_family",
"foo", "bar",
),
},
{
m: "test_histogram_family\xfffoo\xffbaz",
shs: &histogram.Histogram{
CounterResetHint: histogram.UnknownCounterReset,
Count: 6,
Sum: 13.1,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: 8, Length: 2},
},
NegativeSpans: []histogram.Span{},
PositiveBuckets: []int64{1, 4},
},
lset: labels.FromStrings(
"__name__", "test_histogram_family",
"foo", "baz",
),
},
{
m: "test_float_histogram_with_zerothreshold_zero",
help: "Test float histogram with a zero threshold of zero.",
},
{
m: "test_float_histogram_with_zerothreshold_zero",
typ: MetricTypeHistogram,
},
{
m: "test_float_histogram_with_zerothreshold_zero",
fhs: &histogram.FloatHistogram{
Count: 5.0,
Sum: 12.1,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: 8, Length: 2},
},
PositiveBuckets: []float64{2.0, 3.0},
NegativeSpans: []histogram.Span{},
},
lset: labels.FromStrings(
"__name__", "test_float_histogram_with_zerothreshold_zero",
),
},
{
m: "rpc_durations_seconds",
help: "RPC latency distributions.",
},
{
m: "rpc_durations_seconds",
typ: MetricTypeSummary,
},
{
m: "rpc_durations_seconds_count\xffservice\xffexponential",
v: 262,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds_count",
"service", "exponential",
),
},
{
m: "rpc_durations_seconds_sum\xffservice\xffexponential",
v: 0.00025551262820703587,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds_sum",
"service", "exponential",
),
},
{
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.5",
v: 6.442786329648548e-07,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds",
"quantile", "0.5",
"service", "exponential",
),
},
{
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.9",
v: 1.9435742936658396e-06,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds",
"quantile", "0.9",
"service", "exponential",
),
},
{
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.99",
v: 4.0471608667037015e-06,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds",
"quantile", "0.99",
"service", "exponential",
),
},
{
m: "without_quantiles",
help: "A summary without quantiles.",
},
{
m: "without_quantiles",
typ: MetricTypeSummary,
},
{
m: "without_quantiles_count",
v: 42,
lset: labels.FromStrings(
"__name__", "without_quantiles_count",
),
},
{
m: "without_quantiles_sum",
v: 1.234,
lset: labels.FromStrings(
"__name__", "without_quantiles_sum",
),
},
{
m: "empty_histogram",
help: "A histogram without observations and with a zero threshold of zero but with a no-op span to identify it as a native histogram.",
},
{
m: "empty_histogram",
typ: MetricTypeHistogram,
},
{
m: "empty_histogram",
shs: &histogram.Histogram{
CounterResetHint: histogram.UnknownCounterReset,
PositiveSpans: []histogram.Span{},
NegativeSpans: []histogram.Span{},
},
lset: labels.FromStrings(
"__name__", "empty_histogram",
),
},
{
m: "test_counter_with_createdtimestamp",
help: "A counter with a created timestamp.",
},
{
m: "test_counter_with_createdtimestamp",
typ: MetricTypeCounter,
},
{
m: "test_counter_with_createdtimestamp",
v: 42,
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
lset: labels.FromStrings(
"__name__", "test_counter_with_createdtimestamp",
),
},
{
m: "test_summary_with_createdtimestamp",
help: "A summary with a created timestamp.",
},
{
m: "test_summary_with_createdtimestamp",
typ: MetricTypeSummary,
},
{
m: "test_summary_with_createdtimestamp_count",
v: 42,
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
lset: labels.FromStrings(
"__name__", "test_summary_with_createdtimestamp_count",
),
},
{
m: "test_summary_with_createdtimestamp_sum",
v: 1.234,
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
lset: labels.FromStrings(
"__name__", "test_summary_with_createdtimestamp_sum",
),
},
{
m: "test_histogram_with_createdtimestamp",
help: "A histogram with a created timestamp.",
},
{
m: "test_histogram_with_createdtimestamp",
typ: MetricTypeHistogram,
},
{
m: "test_histogram_with_createdtimestamp",
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
shs: &histogram.Histogram{
CounterResetHint: histogram.UnknownCounterReset,
PositiveSpans: []histogram.Span{},
NegativeSpans: []histogram.Span{},
},
lset: labels.FromStrings(
"__name__", "test_histogram_with_createdtimestamp",
),
},
{
m: "test_gaugehistogram_with_createdtimestamp",
help: "A gauge histogram with a created timestamp.",
},
{
m: "test_gaugehistogram_with_createdtimestamp",
typ: MetricTypeGaugeHistogram,
},
{
m: "test_gaugehistogram_with_createdtimestamp",
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
shs: &histogram.Histogram{
CounterResetHint: histogram.GaugeType,
PositiveSpans: []histogram.Span{},
NegativeSpans: []histogram.Span{},
},
lset: labels.FromStrings(
"__name__", "test_gaugehistogram_with_createdtimestamp",
),
},
},
},
{
name: "parse classic and native buckets",
parser: NewProtobufParser(inputBuf.Bytes(), true),
expected: []parseResult{
{ // 0
m: "go_build_info",
help: "Build information about the main Go module.",
},
{ // 1
m: "go_build_info",
typ: MetricTypeGauge,
},
{ // 2
m: "go_build_info\xFFchecksum\xFF\xFFpath\xFFgithub.com/prometheus/client_golang\xFFversion\xFF(devel)",
v: 1,
lset: labels.FromStrings(
"__name__", "go_build_info",
"checksum", "",
"path", "github.com/prometheus/client_golang",
"version", "(devel)",
),
},
{ // 3
m: "go_memstats_alloc_bytes_total",
help: "Total number of bytes allocated, even if freed.",
},
{ // 4
m: "go_memstats_alloc_bytes_total",
typ: MetricTypeCounter,
},
{ // 5
m: "go_memstats_alloc_bytes_total",
v: 1.546544e+06,
lset: labels.FromStrings(
"__name__", "go_memstats_alloc_bytes_total",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "42"), Value: 12, HasTs: true, Ts: 1625851151233},
},
},
{ // 6
m: "something_untyped",
help: "Just to test the untyped type.",
},
{ // 7
m: "something_untyped",
typ: MetricTypeUnknown,
},
{ // 8
m: "something_untyped",
t: 1234567,
v: 42,
lset: labels.FromStrings(
"__name__", "something_untyped",
),
},
{ // 9
m: "test_histogram",
help: "Test histogram with many buckets removed to keep it manageable in size.",
},
{ // 10
m: "test_histogram",
typ: MetricTypeHistogram,
},
{ // 11
m: "test_histogram",
t: 1234568,
shs: &histogram.Histogram{
Count: 175,
ZeroCount: 2,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []int64{1, 2, -1, -1},
NegativeBuckets: []int64{1, 3, -2, -1, 1},
},
lset: labels.FromStrings(
"__name__", "test_histogram",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{ // 12
m: "test_histogram_count",
t: 1234568,
v: 175,
lset: labels.FromStrings(
"__name__", "test_histogram_count",
),
},
{ // 13
m: "test_histogram_sum",
t: 1234568,
v: 0.0008280461746287094,
lset: labels.FromStrings(
"__name__", "test_histogram_sum",
),
},
{ // 14
m: "test_histogram_bucket\xffle\xff-0.0004899999999999998",
t: 1234568,
v: 2,
lset: labels.FromStrings(
"__name__", "test_histogram_bucket",
"le", "-0.0004899999999999998",
),
},
{ // 15
m: "test_histogram_bucket\xffle\xff-0.0003899999999999998",
t: 1234568,
v: 4,
lset: labels.FromStrings(
"__name__", "test_histogram_bucket",
"le", "-0.0003899999999999998",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{ // 16
m: "test_histogram_bucket\xffle\xff-0.0002899999999999998",
t: 1234568,
v: 16,
lset: labels.FromStrings(
"__name__", "test_histogram_bucket",
"le", "-0.0002899999999999998",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
},
},
{ // 17
m: "test_histogram_bucket\xffle\xff+Inf",
t: 1234568,
v: 175,
lset: labels.FromStrings(
"__name__", "test_histogram_bucket",
"le", "+Inf",
),
},
{ // 18
m: "test_gauge_histogram",
help: "Like test_histogram but as gauge histogram.",
},
{ // 19
m: "test_gauge_histogram",
typ: MetricTypeGaugeHistogram,
},
{ // 20
m: "test_gauge_histogram",
t: 1234568,
shs: &histogram.Histogram{
CounterResetHint: histogram.GaugeType,
Count: 175,
ZeroCount: 2,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []int64{1, 2, -1, -1},
NegativeBuckets: []int64{1, 3, -2, -1, 1},
},
lset: labels.FromStrings(
"__name__", "test_gauge_histogram",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{ // 21
m: "test_gauge_histogram_count",
t: 1234568,
v: 175,
lset: labels.FromStrings(
"__name__", "test_gauge_histogram_count",
),
},
{ // 22
m: "test_gauge_histogram_sum",
t: 1234568,
v: 0.0008280461746287094,
lset: labels.FromStrings(
"__name__", "test_gauge_histogram_sum",
),
},
{ // 23
m: "test_gauge_histogram_bucket\xffle\xff-0.0004899999999999998",
t: 1234568,
v: 2,
lset: labels.FromStrings(
"__name__", "test_gauge_histogram_bucket",
"le", "-0.0004899999999999998",
),
},
{ // 24
m: "test_gauge_histogram_bucket\xffle\xff-0.0003899999999999998",
t: 1234568,
v: 4,
lset: labels.FromStrings(
"__name__", "test_gauge_histogram_bucket",
"le", "-0.0003899999999999998",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{ // 25
m: "test_gauge_histogram_bucket\xffle\xff-0.0002899999999999998",
t: 1234568,
v: 16,
lset: labels.FromStrings(
"__name__", "test_gauge_histogram_bucket",
"le", "-0.0002899999999999998",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
},
},
{ // 26
m: "test_gauge_histogram_bucket\xffle\xff+Inf",
t: 1234568,
v: 175,
lset: labels.FromStrings(
"__name__", "test_gauge_histogram_bucket",
"le", "+Inf",
),
},
{ // 27
m: "test_float_histogram",
help: "Test float histogram with many buckets removed to keep it manageable in size.",
},
{ // 28
m: "test_float_histogram",
typ: MetricTypeHistogram,
},
{ // 29
m: "test_float_histogram",
t: 1234568,
fhs: &histogram.FloatHistogram{
Count: 175.0,
ZeroCount: 2.0,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []float64{1.0, 2.0, -1.0, -1.0},
NegativeBuckets: []float64{1.0, 3.0, -2.0, -1.0, 1.0},
},
lset: labels.FromStrings(
"__name__", "test_float_histogram",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{ // 30
m: "test_float_histogram_count",
t: 1234568,
v: 175,
lset: labels.FromStrings(
"__name__", "test_float_histogram_count",
),
},
{ // 31
m: "test_float_histogram_sum",
t: 1234568,
v: 0.0008280461746287094,
lset: labels.FromStrings(
"__name__", "test_float_histogram_sum",
),
},
{ // 32
m: "test_float_histogram_bucket\xffle\xff-0.0004899999999999998",
t: 1234568,
v: 2,
lset: labels.FromStrings(
"__name__", "test_float_histogram_bucket",
"le", "-0.0004899999999999998",
),
},
{ // 33
m: "test_float_histogram_bucket\xffle\xff-0.0003899999999999998",
t: 1234568,
v: 4,
lset: labels.FromStrings(
"__name__", "test_float_histogram_bucket",
"le", "-0.0003899999999999998",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{ // 34
m: "test_float_histogram_bucket\xffle\xff-0.0002899999999999998",
t: 1234568,
v: 16,
lset: labels.FromStrings(
"__name__", "test_float_histogram_bucket",
"le", "-0.0002899999999999998",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
},
},
{ // 35
m: "test_float_histogram_bucket\xffle\xff+Inf",
t: 1234568,
v: 175,
lset: labels.FromStrings(
"__name__", "test_float_histogram_bucket",
"le", "+Inf",
),
},
{ // 36
m: "test_gauge_float_histogram",
help: "Like test_float_histogram but as gauge histogram.",
},
{ // 37
m: "test_gauge_float_histogram",
typ: MetricTypeGaugeHistogram,
},
{ // 38
m: "test_gauge_float_histogram",
t: 1234568,
fhs: &histogram.FloatHistogram{
CounterResetHint: histogram.GaugeType,
Count: 175.0,
ZeroCount: 2.0,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []float64{1.0, 2.0, -1.0, -1.0},
NegativeBuckets: []float64{1.0, 3.0, -2.0, -1.0, 1.0},
},
lset: labels.FromStrings(
"__name__", "test_gauge_float_histogram",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{ // 39
m: "test_gauge_float_histogram_count",
t: 1234568,
v: 175,
lset: labels.FromStrings(
"__name__", "test_gauge_float_histogram_count",
),
},
{ // 40
m: "test_gauge_float_histogram_sum",
t: 1234568,
v: 0.0008280461746287094,
lset: labels.FromStrings(
"__name__", "test_gauge_float_histogram_sum",
),
},
{ // 41
m: "test_gauge_float_histogram_bucket\xffle\xff-0.0004899999999999998",
t: 1234568,
v: 2,
lset: labels.FromStrings(
"__name__", "test_gauge_float_histogram_bucket",
"le", "-0.0004899999999999998",
),
},
{ // 42
m: "test_gauge_float_histogram_bucket\xffle\xff-0.0003899999999999998",
t: 1234568,
v: 4,
lset: labels.FromStrings(
"__name__", "test_gauge_float_histogram_bucket",
"le", "-0.0003899999999999998",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
},
},
{ // 43
m: "test_gauge_float_histogram_bucket\xffle\xff-0.0002899999999999998",
t: 1234568,
v: 16,
lset: labels.FromStrings(
"__name__", "test_gauge_float_histogram_bucket",
"le", "-0.0002899999999999998",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
},
},
{ // 44
m: "test_gauge_float_histogram_bucket\xffle\xff+Inf",
t: 1234568,
v: 175,
lset: labels.FromStrings(
"__name__", "test_gauge_float_histogram_bucket",
"le", "+Inf",
),
},
{ // 45
m: "test_histogram2",
help: "Similar histogram as before but now without sparse buckets.",
},
{ // 46
m: "test_histogram2",
typ: MetricTypeHistogram,
},
{ // 47
m: "test_histogram2_count",
v: 175,
lset: labels.FromStrings(
"__name__", "test_histogram2_count",
),
},
{ // 48
m: "test_histogram2_sum",
v: 0.000828,
lset: labels.FromStrings(
"__name__", "test_histogram2_sum",
),
},
{ // 49
m: "test_histogram2_bucket\xffle\xff-0.00048",
v: 2,
lset: labels.FromStrings(
"__name__", "test_histogram2_bucket",
"le", "-0.00048",
),
},
{ // 50
m: "test_histogram2_bucket\xffle\xff-0.00038",
v: 4,
lset: labels.FromStrings(
"__name__", "test_histogram2_bucket",
"le", "-0.00038",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00038, HasTs: true, Ts: 1625851153146},
},
},
{ // 51
m: "test_histogram2_bucket\xffle\xff1.0",
v: 16,
lset: labels.FromStrings(
"__name__", "test_histogram2_bucket",
"le", "1.0",
),
e: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.000295, HasTs: false},
},
},
{ // 52
m: "test_histogram2_bucket\xffle\xff+Inf",
v: 175,
lset: labels.FromStrings(
"__name__", "test_histogram2_bucket",
"le", "+Inf",
),
},
{ // 53
m: "test_histogram_family",
help: "Test histogram metric family with two very simple histograms.",
},
{ // 54
m: "test_histogram_family",
typ: MetricTypeHistogram,
},
{ // 55
m: "test_histogram_family\xfffoo\xffbar",
shs: &histogram.Histogram{
CounterResetHint: histogram.UnknownCounterReset,
Count: 5,
Sum: 12.1,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: 8, Length: 2},
},
NegativeSpans: []histogram.Span{},
PositiveBuckets: []int64{2, 1},
},
lset: labels.FromStrings(
"__name__", "test_histogram_family",
"foo", "bar",
),
},
{ // 56
m: "test_histogram_family_count\xfffoo\xffbar",
v: 5,
lset: labels.FromStrings(
"__name__", "test_histogram_family_count",
"foo", "bar",
),
},
{ // 57
m: "test_histogram_family_sum\xfffoo\xffbar",
v: 12.1,
lset: labels.FromStrings(
"__name__", "test_histogram_family_sum",
"foo", "bar",
),
},
{ // 58
m: "test_histogram_family_bucket\xfffoo\xffbar\xffle\xff1.1",
v: 2,
lset: labels.FromStrings(
"__name__", "test_histogram_family_bucket",
"foo", "bar",
"le", "1.1",
),
},
{ // 59
m: "test_histogram_family_bucket\xfffoo\xffbar\xffle\xff2.2",
v: 3,
lset: labels.FromStrings(
"__name__", "test_histogram_family_bucket",
"foo", "bar",
"le", "2.2",
),
},
{ // 60
m: "test_histogram_family_bucket\xfffoo\xffbar\xffle\xff+Inf",
v: 5,
lset: labels.FromStrings(
"__name__", "test_histogram_family_bucket",
"foo", "bar",
"le", "+Inf",
),
},
{ // 61
m: "test_histogram_family\xfffoo\xffbaz",
shs: &histogram.Histogram{
CounterResetHint: histogram.UnknownCounterReset,
Count: 6,
Sum: 13.1,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: 8, Length: 2},
},
NegativeSpans: []histogram.Span{},
PositiveBuckets: []int64{1, 4},
},
lset: labels.FromStrings(
"__name__", "test_histogram_family",
"foo", "baz",
),
},
{ // 62
m: "test_histogram_family_count\xfffoo\xffbaz",
v: 6,
lset: labels.FromStrings(
"__name__", "test_histogram_family_count",
"foo", "baz",
),
},
{ // 63
m: "test_histogram_family_sum\xfffoo\xffbaz",
v: 13.1,
lset: labels.FromStrings(
"__name__", "test_histogram_family_sum",
"foo", "baz",
),
},
{ // 64
m: "test_histogram_family_bucket\xfffoo\xffbaz\xffle\xff1.1",
v: 1,
lset: labels.FromStrings(
"__name__", "test_histogram_family_bucket",
"foo", "baz",
"le", "1.1",
),
},
{ // 65
m: "test_histogram_family_bucket\xfffoo\xffbaz\xffle\xff2.2",
v: 5,
lset: labels.FromStrings(
"__name__", "test_histogram_family_bucket",
"foo", "baz",
"le", "2.2",
),
},
{ // 66
m: "test_histogram_family_bucket\xfffoo\xffbaz\xffle\xff+Inf",
v: 6,
lset: labels.FromStrings(
"__name__", "test_histogram_family_bucket",
"foo", "baz",
"le", "+Inf",
),
},
{ // 67
m: "test_float_histogram_with_zerothreshold_zero",
help: "Test float histogram with a zero threshold of zero.",
},
{ // 68
m: "test_float_histogram_with_zerothreshold_zero",
typ: MetricTypeHistogram,
},
{ // 69
m: "test_float_histogram_with_zerothreshold_zero",
fhs: &histogram.FloatHistogram{
Count: 5.0,
Sum: 12.1,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: 8, Length: 2},
},
PositiveBuckets: []float64{2.0, 3.0},
NegativeSpans: []histogram.Span{},
},
lset: labels.FromStrings(
"__name__", "test_float_histogram_with_zerothreshold_zero",
),
},
{ // 70
m: "rpc_durations_seconds",
help: "RPC latency distributions.",
},
{ // 71
m: "rpc_durations_seconds",
typ: MetricTypeSummary,
},
{ // 72
m: "rpc_durations_seconds_count\xffservice\xffexponential",
v: 262,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds_count",
"service", "exponential",
),
},
{ // 73
m: "rpc_durations_seconds_sum\xffservice\xffexponential",
v: 0.00025551262820703587,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds_sum",
"service", "exponential",
),
},
{ // 74
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.5",
v: 6.442786329648548e-07,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds",
"quantile", "0.5",
"service", "exponential",
),
},
{ // 75
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.9",
v: 1.9435742936658396e-06,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds",
"quantile", "0.9",
"service", "exponential",
),
},
{ // 76
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.99",
v: 4.0471608667037015e-06,
lset: labels.FromStrings(
"__name__", "rpc_durations_seconds",
"quantile", "0.99",
"service", "exponential",
),
},
{ // 77
m: "without_quantiles",
help: "A summary without quantiles.",
},
{ // 78
m: "without_quantiles",
typ: MetricTypeSummary,
},
{ // 79
m: "without_quantiles_count",
v: 42,
lset: labels.FromStrings(
"__name__", "without_quantiles_count",
),
},
{ // 80
m: "without_quantiles_sum",
v: 1.234,
lset: labels.FromStrings(
"__name__", "without_quantiles_sum",
),
},
{ // 78
m: "empty_histogram",
help: "A histogram without observations and with a zero threshold of zero but with a no-op span to identify it as a native histogram.",
},
{ // 79
m: "empty_histogram",
typ: MetricTypeHistogram,
},
{ // 80
m: "empty_histogram",
shs: &histogram.Histogram{
CounterResetHint: histogram.UnknownCounterReset,
PositiveSpans: []histogram.Span{},
NegativeSpans: []histogram.Span{},
},
lset: labels.FromStrings(
"__name__", "empty_histogram",
),
},
{ // 81
m: "test_counter_with_createdtimestamp",
help: "A counter with a created timestamp.",
},
{ // 82
m: "test_counter_with_createdtimestamp",
typ: MetricTypeCounter,
},
{ // 83
m: "test_counter_with_createdtimestamp",
v: 42,
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
lset: labels.FromStrings(
"__name__", "test_counter_with_createdtimestamp",
),
},
{ // 84
m: "test_summary_with_createdtimestamp",
help: "A summary with a created timestamp.",
},
{ // 85
m: "test_summary_with_createdtimestamp",
typ: MetricTypeSummary,
},
{ // 86
m: "test_summary_with_createdtimestamp_count",
v: 42,
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
lset: labels.FromStrings(
"__name__", "test_summary_with_createdtimestamp_count",
),
},
{ // 87
m: "test_summary_with_createdtimestamp_sum",
v: 1.234,
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
lset: labels.FromStrings(
"__name__", "test_summary_with_createdtimestamp_sum",
),
},
{ // 88
m: "test_histogram_with_createdtimestamp",
help: "A histogram with a created timestamp.",
},
{ // 89
m: "test_histogram_with_createdtimestamp",
typ: MetricTypeHistogram,
},
{ // 90
m: "test_histogram_with_createdtimestamp",
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
shs: &histogram.Histogram{
CounterResetHint: histogram.UnknownCounterReset,
PositiveSpans: []histogram.Span{},
NegativeSpans: []histogram.Span{},
},
lset: labels.FromStrings(
"__name__", "test_histogram_with_createdtimestamp",
),
},
{ // 91
m: "test_gaugehistogram_with_createdtimestamp",
help: "A gauge histogram with a created timestamp.",
},
{ // 92
m: "test_gaugehistogram_with_createdtimestamp",
typ: MetricTypeGaugeHistogram,
},
{ // 93
m: "test_gaugehistogram_with_createdtimestamp",
ct: &types.Timestamp{Seconds: 1, Nanos: 1},
shs: &histogram.Histogram{
CounterResetHint: histogram.GaugeType,
PositiveSpans: []histogram.Span{},
NegativeSpans: []histogram.Span{},
},
lset: labels.FromStrings(
"__name__", "test_gaugehistogram_with_createdtimestamp",
),
},
},
},
}
for _, scenario := range scenarios {
t.Run(scenario.name, func(t *testing.T) {
var (
i int
res labels.Labels
p = scenario.parser
exp = scenario.expected
)
for {
et, err := p.Next()
if errors.Is(err, io.EOF) {
break
}
require.NoError(t, err)
switch et {
case EntrySeries:
m, ts, v := p.Series()
var e exemplar.Exemplar
var ct types.Timestamp
p.Metric(&res)
eFound := p.Exemplar(&e)
ctFound := p.CreatedTimestamp(&ct)
require.Equal(t, exp[i].m, string(m), "i: %d", i)
if ts != nil {
require.Equal(t, exp[i].t, *ts, "i: %d", i)
} else {
require.Equal(t, exp[i].t, int64(0), "i: %d", i)
}
require.Equal(t, exp[i].v, v, "i: %d", i)
require.Equal(t, exp[i].lset, res, "i: %d", i)
if len(exp[i].e) == 0 {
require.Equal(t, false, eFound, "i: %d", i)
} else {
require.Equal(t, true, eFound, "i: %d", i)
require.Equal(t, exp[i].e[0], e, "i: %d", i)
require.False(t, p.Exemplar(&e), "too many exemplars returned, i: %d", i)
}
if exp[i].ct != nil {
require.Equal(t, true, ctFound, "i: %d", i)
require.Equal(t, exp[i].ct.String(), ct.String(), "i: %d", i)
} else {
require.Equal(t, false, ctFound, "i: %d", i)
}
case EntryHistogram:
m, ts, shs, fhs := p.Histogram()
p.Metric(&res)
require.Equal(t, exp[i].m, string(m), "i: %d", i)
if ts != nil {
require.Equal(t, exp[i].t, *ts, "i: %d", i)
} else {
require.Equal(t, exp[i].t, int64(0), "i: %d", i)
}
require.Equal(t, exp[i].lset, res, "i: %d", i)
require.Equal(t, exp[i].m, string(m), "i: %d", i)
if shs != nil {
require.Equal(t, exp[i].shs, shs, "i: %d", i)
} else {
require.Equal(t, exp[i].fhs, fhs, "i: %d", i)
}
j := 0
for e := (exemplar.Exemplar{}); p.Exemplar(&e); j++ {
require.Equal(t, exp[i].e[j], e, "i: %d", i)
e = exemplar.Exemplar{}
}
require.Equal(t, len(exp[i].e), j, "not enough exemplars found, i: %d", i)
case EntryType:
m, typ := p.Type()
require.Equal(t, exp[i].m, string(m), "i: %d", i)
require.Equal(t, exp[i].typ, typ, "i: %d", i)
case EntryHelp:
m, h := p.Help()
require.Equal(t, exp[i].m, string(m), "i: %d", i)
require.Equal(t, exp[i].help, string(h), "i: %d", i)
case EntryUnit:
m, u := p.Unit()
require.Equal(t, exp[i].m, string(m), "i: %d", i)
require.Equal(t, exp[i].unit, string(u), "i: %d", i)
case EntryComment:
require.Equal(t, exp[i].comment, string(p.Comment()), "i: %d", i)
}
i++
}
require.Equal(t, len(exp), i)
})
}
}
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