mirror of https://github.com/prometheus/prometheus
516 lines
17 KiB
Go
516 lines
17 KiB
Go
// Copyright 2024 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package textparse
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import (
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"testing"
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"github.com/prometheus/common/model"
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"github.com/prometheus/prometheus/model/exemplar"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/model/labels"
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)
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func TestNHCBParserOnOMParser(t *testing.T) {
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// The input is taken originally from TestOpenMetricsParse, with additional tests for the NHCBParser.
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input := `# HELP go_gc_duration_seconds A summary of the GC invocation durations.
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# TYPE go_gc_duration_seconds summary
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# UNIT go_gc_duration_seconds seconds
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go_gc_duration_seconds{quantile="0"} 4.9351e-05
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go_gc_duration_seconds{quantile="0.25"} 7.424100000000001e-05
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go_gc_duration_seconds{quantile="0.5",a="b"} 8.3835e-05
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# HELP nohelp1
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# HELP help2 escape \ \n \\ \" \x chars
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# UNIT nounit
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go_gc_duration_seconds{quantile="1.0",a="b"} 8.3835e-05
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go_gc_duration_seconds_count 99
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some:aggregate:rate5m{a_b="c"} 1
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# HELP go_goroutines Number of goroutines that currently exist.
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# TYPE go_goroutines gauge
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go_goroutines 33 123.123
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# TYPE hh histogram
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hh_bucket{le="+Inf"} 1
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# TYPE gh gaugehistogram
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gh_bucket{le="+Inf"} 1
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# TYPE hhh histogram
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hhh_bucket{le="+Inf"} 1 # {id="histogram-bucket-test"} 4
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hhh_count 1 # {id="histogram-count-test"} 4
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# TYPE ggh gaugehistogram
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ggh_bucket{le="+Inf"} 1 # {id="gaugehistogram-bucket-test",xx="yy"} 4 123.123
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ggh_count 1 # {id="gaugehistogram-count-test",xx="yy"} 4 123.123
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# TYPE smr_seconds summary
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smr_seconds_count 2.0 # {id="summary-count-test"} 1 123.321
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smr_seconds_sum 42.0 # {id="summary-sum-test"} 1 123.321
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# TYPE ii info
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ii{foo="bar"} 1
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# TYPE ss stateset
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ss{ss="foo"} 1
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ss{ss="bar"} 0
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ss{A="a"} 0
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# TYPE un unknown
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_metric_starting_with_underscore 1
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testmetric{_label_starting_with_underscore="foo"} 1
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testmetric{label="\"bar\""} 1
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# HELP foo Counter with and without labels to certify CT is parsed for both cases
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# TYPE foo counter
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foo_total 17.0 1520879607.789 # {id="counter-test"} 5
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foo_created 1520872607.123
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foo_total{a="b"} 17.0 1520879607.789 # {id="counter-test"} 5
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foo_created{a="b"} 1520872607.123
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# HELP bar Summary with CT at the end, making sure we find CT even if it's multiple lines a far
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# TYPE bar summary
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bar_count 17.0
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bar_sum 324789.3
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bar{quantile="0.95"} 123.7
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bar{quantile="0.99"} 150.0
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bar_created 1520872608.124
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# HELP baz Histogram with the same objective as above's summary
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# TYPE baz histogram
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baz_bucket{le="0.0"} 0
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baz_bucket{le="+Inf"} 17
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baz_count 17
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baz_sum 324789.3
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baz_created 1520872609.125
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# HELP fizz_created Gauge which shouldn't be parsed as CT
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# TYPE fizz_created gauge
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fizz_created 17.0
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# HELP something Histogram with _created between buckets and summary
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# TYPE something histogram
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something_count 18
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something_sum 324789.4
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something_created 1520430001
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something_bucket{le="0.0"} 1
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something_bucket{le="+Inf"} 18
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something_count{a="b"} 9
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something_sum{a="b"} 42123.0
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something_bucket{a="b",le="0.0"} 8
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something_bucket{a="b",le="+Inf"} 9
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something_created{a="b"} 1520430002
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# HELP yum Summary with _created between sum and quantiles
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# TYPE yum summary
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yum_count 20
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yum_sum 324789.5
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yum_created 1520430003
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yum{quantile="0.95"} 123.7
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yum{quantile="0.99"} 150.0
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# HELP foobar Summary with _created as the first line
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# TYPE foobar summary
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foobar_count 21
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foobar_created 1520430004
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foobar_sum 324789.6
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foobar{quantile="0.95"} 123.8
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foobar{quantile="0.99"} 150.1`
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input += "\n# HELP metric foo\x00bar"
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input += "\nnull_byte_metric{a=\"abc\x00\"} 1"
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input += "\n# EOF\n"
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exp := []parsedEntry{
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{
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m: "go_gc_duration_seconds",
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help: "A summary of the GC invocation durations.",
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}, {
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m: "go_gc_duration_seconds",
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typ: model.MetricTypeSummary,
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}, {
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m: "go_gc_duration_seconds",
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unit: "seconds",
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}, {
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m: `go_gc_duration_seconds{quantile="0"}`,
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v: 4.9351e-05,
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lset: labels.FromStrings("__name__", "go_gc_duration_seconds", "quantile", "0"),
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}, {
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m: `go_gc_duration_seconds{quantile="0.25"}`,
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v: 7.424100000000001e-05,
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lset: labels.FromStrings("__name__", "go_gc_duration_seconds", "quantile", "0.25"),
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}, {
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m: `go_gc_duration_seconds{quantile="0.5",a="b"}`,
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v: 8.3835e-05,
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lset: labels.FromStrings("__name__", "go_gc_duration_seconds", "quantile", "0.5", "a", "b"),
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}, {
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m: "nohelp1",
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help: "",
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}, {
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m: "help2",
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help: "escape \\ \n \\ \" \\x chars",
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}, {
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m: "nounit",
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unit: "",
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}, {
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m: `go_gc_duration_seconds{quantile="1.0",a="b"}`,
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v: 8.3835e-05,
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lset: labels.FromStrings("__name__", "go_gc_duration_seconds", "quantile", "1.0", "a", "b"),
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}, {
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m: `go_gc_duration_seconds_count`,
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v: 99,
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lset: labels.FromStrings("__name__", "go_gc_duration_seconds_count"),
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}, {
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m: `some:aggregate:rate5m{a_b="c"}`,
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v: 1,
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lset: labels.FromStrings("__name__", "some:aggregate:rate5m", "a_b", "c"),
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}, {
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m: "go_goroutines",
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help: "Number of goroutines that currently exist.",
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}, {
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m: "go_goroutines",
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typ: model.MetricTypeGauge,
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}, {
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m: `go_goroutines`,
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v: 33,
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t: int64p(123123),
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lset: labels.FromStrings("__name__", "go_goroutines"),
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}, {
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m: "hh",
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typ: model.MetricTypeHistogram,
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}, {
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m: `hh{}`,
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shs: &histogram.Histogram{
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Schema: histogram.CustomBucketsSchema,
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Count: 1,
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Sum: 0.0,
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PositiveSpans: []histogram.Span{{Offset: 0, Length: 1}},
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PositiveBuckets: []int64{1},
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// Custom values are empty as we do not store the +Inf boundary.
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},
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lset: labels.FromStrings("__name__", "hh"),
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}, {
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m: "gh",
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typ: model.MetricTypeGaugeHistogram,
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}, {
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m: `gh_bucket{le="+Inf"}`,
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v: 1,
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lset: labels.FromStrings("__name__", "gh_bucket", "le", "+Inf"),
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}, {
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m: "hhh",
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typ: model.MetricTypeHistogram,
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}, {
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m: `hhh{}`,
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shs: &histogram.Histogram{
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Schema: histogram.CustomBucketsSchema,
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Count: 1,
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Sum: 0.0,
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PositiveSpans: []histogram.Span{{Offset: 0, Length: 1}},
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PositiveBuckets: []int64{1},
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// Custom values are empty as we do not store the +Inf boundary.
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},
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lset: labels.FromStrings("__name__", "hhh"),
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es: []exemplar.Exemplar{
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{Labels: labels.FromStrings("id", "histogram-bucket-test"), Value: 4},
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{Labels: labels.FromStrings("id", "histogram-count-test"), Value: 4},
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},
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}, {
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m: "ggh",
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typ: model.MetricTypeGaugeHistogram,
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}, {
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m: `ggh_bucket{le="+Inf"}`,
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v: 1,
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lset: labels.FromStrings("__name__", "ggh_bucket", "le", "+Inf"),
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es: []exemplar.Exemplar{{Labels: labels.FromStrings("id", "gaugehistogram-bucket-test", "xx", "yy"), Value: 4, HasTs: true, Ts: 123123}},
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}, {
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m: `ggh_count`,
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v: 1,
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lset: labels.FromStrings("__name__", "ggh_count"),
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es: []exemplar.Exemplar{{Labels: labels.FromStrings("id", "gaugehistogram-count-test", "xx", "yy"), Value: 4, HasTs: true, Ts: 123123}},
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}, {
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m: "smr_seconds",
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typ: model.MetricTypeSummary,
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}, {
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m: `smr_seconds_count`,
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v: 2,
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lset: labels.FromStrings("__name__", "smr_seconds_count"),
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es: []exemplar.Exemplar{{Labels: labels.FromStrings("id", "summary-count-test"), Value: 1, HasTs: true, Ts: 123321}},
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}, {
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m: `smr_seconds_sum`,
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v: 42,
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lset: labels.FromStrings("__name__", "smr_seconds_sum"),
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es: []exemplar.Exemplar{{Labels: labels.FromStrings("id", "summary-sum-test"), Value: 1, HasTs: true, Ts: 123321}},
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}, {
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m: "ii",
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typ: model.MetricTypeInfo,
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}, {
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m: `ii{foo="bar"}`,
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v: 1,
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lset: labels.FromStrings("__name__", "ii", "foo", "bar"),
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}, {
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m: "ss",
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typ: model.MetricTypeStateset,
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}, {
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m: `ss{ss="foo"}`,
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v: 1,
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lset: labels.FromStrings("__name__", "ss", "ss", "foo"),
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}, {
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m: `ss{ss="bar"}`,
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v: 0,
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lset: labels.FromStrings("__name__", "ss", "ss", "bar"),
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}, {
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m: `ss{A="a"}`,
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v: 0,
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lset: labels.FromStrings("A", "a", "__name__", "ss"),
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}, {
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m: "un",
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typ: model.MetricTypeUnknown,
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}, {
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m: "_metric_starting_with_underscore",
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v: 1,
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lset: labels.FromStrings("__name__", "_metric_starting_with_underscore"),
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}, {
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m: "testmetric{_label_starting_with_underscore=\"foo\"}",
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v: 1,
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lset: labels.FromStrings("__name__", "testmetric", "_label_starting_with_underscore", "foo"),
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}, {
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m: "testmetric{label=\"\\\"bar\\\"\"}",
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v: 1,
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lset: labels.FromStrings("__name__", "testmetric", "label", `"bar"`),
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}, {
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m: "foo",
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help: "Counter with and without labels to certify CT is parsed for both cases",
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}, {
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m: "foo",
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typ: model.MetricTypeCounter,
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}, {
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m: "foo_total",
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v: 17,
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lset: labels.FromStrings("__name__", "foo_total"),
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t: int64p(1520879607789),
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es: []exemplar.Exemplar{{Labels: labels.FromStrings("id", "counter-test"), Value: 5}},
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// TODO(krajorama): ct: int64p(1520872607123),
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}, {
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m: `foo_total{a="b"}`,
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v: 17.0,
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lset: labels.FromStrings("__name__", "foo_total", "a", "b"),
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t: int64p(1520879607789),
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es: []exemplar.Exemplar{{Labels: labels.FromStrings("id", "counter-test"), Value: 5}},
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// TODO(krajorama): ct: int64p(1520872607123),
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}, {
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m: "bar",
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help: "Summary with CT at the end, making sure we find CT even if it's multiple lines a far",
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}, {
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m: "bar",
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typ: model.MetricTypeSummary,
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}, {
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m: "bar_count",
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v: 17.0,
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lset: labels.FromStrings("__name__", "bar_count"),
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// TODO(krajorama): ct: int64p(1520872608124),
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}, {
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m: "bar_sum",
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v: 324789.3,
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lset: labels.FromStrings("__name__", "bar_sum"),
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// TODO(krajorama): ct: int64p(1520872608124),
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}, {
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m: `bar{quantile="0.95"}`,
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v: 123.7,
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lset: labels.FromStrings("__name__", "bar", "quantile", "0.95"),
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// TODO(krajorama): ct: int64p(1520872608124),
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}, {
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m: `bar{quantile="0.99"}`,
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v: 150.0,
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lset: labels.FromStrings("__name__", "bar", "quantile", "0.99"),
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// TODO(krajorama): ct: int64p(1520872608124),
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}, {
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m: "baz",
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help: "Histogram with the same objective as above's summary",
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}, {
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m: "baz",
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typ: model.MetricTypeHistogram,
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}, {
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m: `baz{}`,
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shs: &histogram.Histogram{
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Schema: histogram.CustomBucketsSchema,
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Count: 17,
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Sum: 324789.3,
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PositiveSpans: []histogram.Span{{Offset: 1, Length: 1}}, // The first bucket has 0 count so we don't store it and Offset is 1.
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PositiveBuckets: []int64{17},
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CustomValues: []float64{0.0}, // We do not store the +Inf boundary.
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},
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lset: labels.FromStrings("__name__", "baz"),
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// TODO(krajorama): ct: int64p(1520872609125),
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}, {
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m: "fizz_created",
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help: "Gauge which shouldn't be parsed as CT",
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}, {
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m: "fizz_created",
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typ: model.MetricTypeGauge,
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}, {
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m: `fizz_created`,
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v: 17,
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lset: labels.FromStrings("__name__", "fizz_created"),
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}, {
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m: "something",
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help: "Histogram with _created between buckets and summary",
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}, {
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m: "something",
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typ: model.MetricTypeHistogram,
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}, {
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m: `something{}`,
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shs: &histogram.Histogram{
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Schema: histogram.CustomBucketsSchema,
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Count: 18,
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Sum: 324789.4,
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PositiveSpans: []histogram.Span{{Offset: 0, Length: 2}},
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PositiveBuckets: []int64{1, 16},
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CustomValues: []float64{0.0}, // We do not store the +Inf boundary.
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},
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lset: labels.FromStrings("__name__", "something"),
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// TODO(krajorama): ct: int64p(1520430001000),
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}, {
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m: `something{a="b"}`,
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shs: &histogram.Histogram{
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Schema: histogram.CustomBucketsSchema,
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Count: 9,
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Sum: 42123.0,
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PositiveSpans: []histogram.Span{{Offset: 0, Length: 2}},
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PositiveBuckets: []int64{8, -7},
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CustomValues: []float64{0.0}, // We do not store the +Inf boundary.
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},
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lset: labels.FromStrings("__name__", "something", "a", "b"),
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// TODO(krajorama): ct: int64p(1520430002000),
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}, {
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m: "yum",
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help: "Summary with _created between sum and quantiles",
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}, {
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m: "yum",
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typ: model.MetricTypeSummary,
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}, {
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m: `yum_count`,
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v: 20,
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lset: labels.FromStrings("__name__", "yum_count"),
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// TODO(krajorama): ct: int64p(1520430003000),
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}, {
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m: `yum_sum`,
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v: 324789.5,
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lset: labels.FromStrings("__name__", "yum_sum"),
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// TODO(krajorama): ct: int64p(1520430003000),
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}, {
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m: `yum{quantile="0.95"}`,
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v: 123.7,
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lset: labels.FromStrings("__name__", "yum", "quantile", "0.95"),
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// TODO(krajorama): ct: int64p(1520430003000),
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}, {
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m: `yum{quantile="0.99"}`,
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v: 150.0,
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lset: labels.FromStrings("__name__", "yum", "quantile", "0.99"),
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// TODO(krajorama): ct: int64p(1520430003000),
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}, {
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m: "foobar",
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help: "Summary with _created as the first line",
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}, {
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m: "foobar",
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typ: model.MetricTypeSummary,
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}, {
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m: `foobar_count`,
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v: 21,
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lset: labels.FromStrings("__name__", "foobar_count"),
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// TODO(krajorama): ct: int64p(1520430004000),
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}, {
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m: `foobar_sum`,
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v: 324789.6,
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lset: labels.FromStrings("__name__", "foobar_sum"),
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// TODO(krajorama): ct: int64p(1520430004000),
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}, {
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m: `foobar{quantile="0.95"}`,
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v: 123.8,
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lset: labels.FromStrings("__name__", "foobar", "quantile", "0.95"),
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// TODO(krajorama): ct: int64p(1520430004000),
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}, {
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m: `foobar{quantile="0.99"}`,
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v: 150.1,
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lset: labels.FromStrings("__name__", "foobar", "quantile", "0.99"),
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// TODO(krajorama): ct: int64p(1520430004000),
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}, {
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m: "metric",
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help: "foo\x00bar",
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}, {
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m: "null_byte_metric{a=\"abc\x00\"}",
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v: 1,
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lset: labels.FromStrings("__name__", "null_byte_metric", "a", "abc\x00"),
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},
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}
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p := NewOpenMetricsParser([]byte(input), labels.NewSymbolTable(), WithOMParserCTSeriesSkipped())
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p = NewNHCBParser(p, labels.NewSymbolTable(), false)
|
|
got := testParse(t, p)
|
|
requireEntries(t, exp, got)
|
|
}
|
|
|
|
func TestNHCBParserOMParser_MultipleHistograms(t *testing.T) {
|
|
// The input is taken originally from TestOpenMetricsParse, with additional tests for the NHCBParser.
|
|
|
|
input := `# HELP something Histogram with _created between buckets and summary
|
|
# TYPE something histogram
|
|
something_count 18
|
|
something_sum 324789.4
|
|
something_bucket{le="0.0"} 1 # {id="something-test"} -2.0
|
|
something_bucket{le="1.0"} 16 # {id="something-test"} 0.5
|
|
something_bucket{le="+Inf"} 18 # {id="something-test"} 8
|
|
something_count{a="b"} 9
|
|
something_sum{a="b"} 42123.0
|
|
something_bucket{a="b",le="0.0"} 8 # {id="something-test"} 0.0 123.321
|
|
something_bucket{a="b",le="1.0"} 8
|
|
something_bucket{a="b",le="+Inf"} 9 # {id="something-test"} 2e100 123.000
|
|
# EOF
|
|
`
|
|
|
|
exp := []parsedEntry{
|
|
{
|
|
m: "something",
|
|
help: "Histogram with _created between buckets and summary",
|
|
}, {
|
|
m: "something",
|
|
typ: model.MetricTypeHistogram,
|
|
}, {
|
|
m: `something{}`,
|
|
shs: &histogram.Histogram{
|
|
Schema: histogram.CustomBucketsSchema,
|
|
Count: 18,
|
|
Sum: 324789.4,
|
|
PositiveSpans: []histogram.Span{{Offset: 0, Length: 3}},
|
|
PositiveBuckets: []int64{1, 14, -13},
|
|
CustomValues: []float64{0.0, 1.0}, // We do not store the +Inf boundary.
|
|
},
|
|
lset: labels.FromStrings("__name__", "something"),
|
|
es: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("id", "something-test"), Value: -2.0},
|
|
{Labels: labels.FromStrings("id", "something-test"), Value: 0.5},
|
|
{Labels: labels.FromStrings("id", "something-test"), Value: 8.0},
|
|
},
|
|
// TODO(krajorama): ct: int64p(1520430001000),
|
|
}, {
|
|
m: `something{a="b"}`,
|
|
shs: &histogram.Histogram{
|
|
Schema: histogram.CustomBucketsSchema,
|
|
Count: 9,
|
|
Sum: 42123.0,
|
|
PositiveSpans: []histogram.Span{{Offset: 0, Length: 1}, {Offset: 1, Length: 1}},
|
|
PositiveBuckets: []int64{8, -7},
|
|
CustomValues: []float64{0.0, 1.0}, // We do not store the +Inf boundary.
|
|
},
|
|
lset: labels.FromStrings("__name__", "something", "a", "b"),
|
|
es: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("id", "something-test"), Value: 0.0, HasTs: true, Ts: 123321},
|
|
{Labels: labels.FromStrings("id", "something-test"), Value: 2e100, HasTs: true, Ts: 123000},
|
|
},
|
|
// TODO(krajorama): ct: int64p(1520430002000),
|
|
},
|
|
}
|
|
|
|
p := NewOpenMetricsParser([]byte(input), labels.NewSymbolTable(), WithOMParserCTSeriesSkipped())
|
|
|
|
p = NewNHCBParser(p, labels.NewSymbolTable(), false)
|
|
got := testParse(t, p)
|
|
requireEntries(t, exp, got)
|
|
}
|