mirror of https://github.com/prometheus/prometheus
2475 lines
61 KiB
Go
2475 lines
61 KiB
Go
// Copyright 2021 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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"bytes"
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"encoding/binary"
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"errors"
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"io"
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"testing"
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"github.com/gogo/protobuf/proto"
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"github.com/prometheus/common/model"
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"github.com/stretchr/testify/require"
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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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"github.com/prometheus/prometheus/util/testutil"
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dto "github.com/prometheus/prometheus/prompb/io/prometheus/client"
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)
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func createTestProtoBuf(t *testing.T) *bytes.Buffer {
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testMetricFamilies := []string{
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`name: "go_build_info"
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help: "Build information about the main Go module."
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type: GAUGE
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metric: <
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label: <
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name: "checksum"
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value: ""
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>
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label: <
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name: "path"
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value: "github.com/prometheus/client_golang"
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>
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label: <
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name: "version"
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value: "(devel)"
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>
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gauge: <
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value: 1
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>
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>
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`,
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`name: "go_memstats_alloc_bytes_total"
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help: "Total number of bytes allocated, even if freed."
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type: COUNTER
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unit: "bytes"
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metric: <
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counter: <
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value: 1.546544e+06
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exemplar: <
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label: <
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name: "dummyID"
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value: "42"
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>
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value: 12
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timestamp: <
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seconds: 1625851151
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nanos: 233181499
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>
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>
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>
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>
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`,
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`name: "something_untyped"
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help: "Just to test the untyped type."
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type: UNTYPED
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metric: <
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untyped: <
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value: 42
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>
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timestamp_ms: 1234567
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>
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`,
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`name: "test_histogram"
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help: "Test histogram with many buckets removed to keep it manageable in size."
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type: HISTOGRAM
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metric: <
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histogram: <
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sample_count: 175
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sample_sum: 0.0008280461746287094
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bucket: <
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cumulative_count: 2
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upper_bound: -0.0004899999999999998
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>
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bucket: <
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cumulative_count: 4
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upper_bound: -0.0003899999999999998
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exemplar: <
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label: <
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name: "dummyID"
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value: "59727"
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>
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value: -0.00039
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timestamp: <
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seconds: 1625851155
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nanos: 146848499
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>
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>
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>
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bucket: <
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cumulative_count: 16
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upper_bound: -0.0002899999999999998
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exemplar: <
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label: <
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name: "dummyID"
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value: "5617"
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>
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value: -0.00029
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>
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>
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schema: 3
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zero_threshold: 2.938735877055719e-39
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zero_count: 2
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negative_span: <
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offset: -162
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length: 1
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>
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negative_span: <
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offset: 23
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length: 4
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>
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negative_delta: 1
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negative_delta: 3
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negative_delta: -2
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negative_delta: -1
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negative_delta: 1
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positive_span: <
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offset: -161
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length: 1
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>
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positive_span: <
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offset: 8
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length: 3
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>
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positive_delta: 1
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positive_delta: 2
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positive_delta: -1
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positive_delta: -1
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>
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timestamp_ms: 1234568
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>
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`,
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`name: "test_gauge_histogram"
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help: "Like test_histogram but as gauge histogram."
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type: GAUGE_HISTOGRAM
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metric: <
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histogram: <
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sample_count: 175
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sample_sum: 0.0008280461746287094
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bucket: <
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cumulative_count: 2
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upper_bound: -0.0004899999999999998
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>
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bucket: <
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cumulative_count: 4
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upper_bound: -0.0003899999999999998
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exemplar: <
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label: <
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name: "dummyID"
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value: "59727"
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>
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value: -0.00039
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timestamp: <
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seconds: 1625851155
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nanos: 146848499
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>
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>
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>
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bucket: <
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cumulative_count: 16
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upper_bound: -0.0002899999999999998
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exemplar: <
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label: <
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name: "dummyID"
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value: "5617"
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>
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value: -0.00029
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>
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>
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schema: 3
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zero_threshold: 2.938735877055719e-39
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zero_count: 2
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negative_span: <
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offset: -162
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length: 1
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>
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negative_span: <
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offset: 23
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length: 4
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>
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negative_delta: 1
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negative_delta: 3
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negative_delta: -2
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negative_delta: -1
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negative_delta: 1
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positive_span: <
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offset: -161
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length: 1
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>
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positive_span: <
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offset: 8
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length: 3
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>
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positive_delta: 1
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positive_delta: 2
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positive_delta: -1
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positive_delta: -1
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>
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timestamp_ms: 1234568
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>
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`,
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`name: "test_float_histogram"
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help: "Test float histogram with many buckets removed to keep it manageable in size."
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type: HISTOGRAM
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metric: <
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histogram: <
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sample_count_float: 175.0
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sample_sum: 0.0008280461746287094
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bucket: <
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cumulative_count_float: 2.0
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upper_bound: -0.0004899999999999998
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>
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bucket: <
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cumulative_count_float: 4.0
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upper_bound: -0.0003899999999999998
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exemplar: <
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label: <
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name: "dummyID"
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value: "59727"
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>
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value: -0.00039
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timestamp: <
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seconds: 1625851155
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nanos: 146848499
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>
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>
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>
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bucket: <
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cumulative_count_float: 16
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upper_bound: -0.0002899999999999998
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exemplar: <
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label: <
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name: "dummyID"
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value: "5617"
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>
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value: -0.00029
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>
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>
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schema: 3
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zero_threshold: 2.938735877055719e-39
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zero_count_float: 2.0
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negative_span: <
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offset: -162
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length: 1
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>
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negative_span: <
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offset: 23
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length: 4
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>
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negative_count: 1.0
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negative_count: 3.0
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negative_count: -2.0
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negative_count: -1.0
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negative_count: 1.0
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positive_span: <
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offset: -161
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length: 1
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>
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positive_span: <
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offset: 8
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length: 3
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>
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positive_count: 1.0
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positive_count: 2.0
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positive_count: -1.0
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positive_count: -1.0
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>
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timestamp_ms: 1234568
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>
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`,
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`name: "test_gauge_float_histogram"
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help: "Like test_float_histogram but as gauge histogram."
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type: GAUGE_HISTOGRAM
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metric: <
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histogram: <
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sample_count_float: 175.0
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sample_sum: 0.0008280461746287094
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bucket: <
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cumulative_count_float: 2.0
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upper_bound: -0.0004899999999999998
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>
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bucket: <
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cumulative_count_float: 4.0
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upper_bound: -0.0003899999999999998
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exemplar: <
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label: <
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name: "dummyID"
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value: "59727"
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>
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value: -0.00039
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timestamp: <
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seconds: 1625851155
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nanos: 146848499
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>
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>
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>
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bucket: <
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cumulative_count_float: 16
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upper_bound: -0.0002899999999999998
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exemplar: <
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label: <
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name: "dummyID"
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value: "5617"
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>
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value: -0.00029
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>
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>
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schema: 3
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zero_threshold: 2.938735877055719e-39
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zero_count_float: 2.0
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negative_span: <
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offset: -162
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length: 1
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>
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negative_span: <
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offset: 23
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length: 4
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>
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negative_count: 1.0
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negative_count: 3.0
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negative_count: -2.0
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negative_count: -1.0
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negative_count: 1.0
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positive_span: <
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offset: -161
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length: 1
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>
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positive_span: <
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offset: 8
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length: 3
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>
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positive_count: 1.0
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positive_count: 2.0
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positive_count: -1.0
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positive_count: -1.0
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>
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timestamp_ms: 1234568
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>
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`,
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`name: "test_histogram2"
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help: "Similar histogram as before but now without sparse buckets."
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type: HISTOGRAM
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metric: <
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histogram: <
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sample_count: 175
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sample_sum: 0.000828
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bucket: <
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cumulative_count: 2
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upper_bound: -0.00048
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>
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bucket: <
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cumulative_count: 4
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upper_bound: -0.00038
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exemplar: <
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label: <
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name: "dummyID"
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value: "59727"
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>
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value: -0.00038
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timestamp: <
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seconds: 1625851153
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nanos: 146848499
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>
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>
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>
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bucket: <
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cumulative_count: 16
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upper_bound: 1
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exemplar: <
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label: <
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name: "dummyID"
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value: "5617"
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>
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value: -0.000295
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>
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>
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schema: 0
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zero_threshold: 0
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>
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>
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`,
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`name: "test_histogram_family"
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help: "Test histogram metric family with two very simple histograms."
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type: HISTOGRAM
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metric: <
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label: <
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name: "foo"
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value: "bar"
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>
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histogram: <
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sample_count: 5
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sample_sum: 12.1
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bucket: <
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cumulative_count: 2
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upper_bound: 1.1
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>
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bucket: <
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cumulative_count: 3
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upper_bound: 2.2
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>
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schema: 3
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positive_span: <
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offset: 8
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length: 2
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>
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positive_delta: 2
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positive_delta: 1
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>
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>
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metric: <
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label: <
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name: "foo"
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value: "baz"
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>
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histogram: <
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sample_count: 6
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sample_sum: 13.1
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bucket: <
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cumulative_count: 1
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upper_bound: 1.1
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>
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bucket: <
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cumulative_count: 5
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upper_bound: 2.2
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>
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schema: 3
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positive_span: <
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offset: 8
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length: 2
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>
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positive_delta: 1
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positive_delta: 4
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>
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>
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`,
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`name: "test_float_histogram_with_zerothreshold_zero"
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help: "Test float histogram with a zero threshold of zero."
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type: HISTOGRAM
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metric: <
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histogram: <
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sample_count_float: 5.0
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sample_sum: 12.1
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schema: 3
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positive_span: <
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offset: 8
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length: 2
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>
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positive_count: 2.0
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positive_count: 3.0
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>
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>
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`,
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`name: "rpc_durations_seconds"
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help: "RPC latency distributions."
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type: SUMMARY
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metric: <
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label: <
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name: "service"
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value: "exponential"
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>
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summary: <
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sample_count: 262
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sample_sum: 0.00025551262820703587
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quantile: <
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quantile: 0.5
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value: 6.442786329648548e-07
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>
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quantile: <
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quantile: 0.9
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value: 1.9435742936658396e-06
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>
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quantile: <
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quantile: 0.99
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value: 4.0471608667037015e-06
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>
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|
>
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>
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`,
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`name: "without_quantiles"
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help: "A summary without quantiles."
|
|
type: SUMMARY
|
|
metric: <
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|
summary: <
|
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sample_count: 42
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sample_sum: 1.234
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|
>
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|
>
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|
`,
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`name: "empty_histogram"
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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."
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|
type: HISTOGRAM
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metric: <
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histogram: <
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positive_span: <
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|
offset: 0
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length: 0
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|
>
|
|
>
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|
>
|
|
|
|
`,
|
|
`name: "test_counter_with_createdtimestamp"
|
|
help: "A counter with a created timestamp."
|
|
type: COUNTER
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|
metric: <
|
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counter: <
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|
value: 42
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created_timestamp: <
|
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seconds: 1
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|
nanos: 1
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|
>
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|
>
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|
>
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|
|
|
`,
|
|
`name: "test_summary_with_createdtimestamp"
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|
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
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|
nanos: 1
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|
>
|
|
positive_span: <
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|
offset: 0
|
|
length: 0
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|
>
|
|
>
|
|
>
|
|
|
|
`,
|
|
`name: "test_gaugehistogram_with_createdtimestamp"
|
|
help: "A gauge histogram with a created timestamp."
|
|
type: GAUGE_HISTOGRAM
|
|
metric: <
|
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histogram: <
|
|
created_timestamp: <
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seconds: 1
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nanos: 1
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>
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|
positive_span: <
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|
offset: 0
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length: 0
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>
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|
>
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|
>
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|
|
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`,
|
|
`name: "test_histogram_with_native_histogram_exemplars"
|
|
help: "A histogram with native histogram exemplars."
|
|
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"
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|
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
|
|
exemplars: <
|
|
label: <
|
|
name: "dummyID"
|
|
value: "59780"
|
|
>
|
|
value: -0.00039
|
|
timestamp: <
|
|
seconds: 1625851155
|
|
nanos: 146848499
|
|
>
|
|
>
|
|
exemplars: <
|
|
label: <
|
|
name: "dummyID"
|
|
value: "5617"
|
|
>
|
|
value: -0.00029
|
|
>
|
|
exemplars: <
|
|
label: <
|
|
name: "dummyID"
|
|
value: "59772"
|
|
>
|
|
value: -0.00052
|
|
timestamp: <
|
|
seconds: 1625851160
|
|
nanos: 156848499
|
|
>
|
|
>
|
|
>
|
|
timestamp_ms: 1234568
|
|
>
|
|
|
|
`,
|
|
|
|
`name: "test_histogram_with_native_histogram_exemplars2"
|
|
help: "Another histogram with native histogram exemplars."
|
|
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
|
|
>
|
|
bucket: <
|
|
cumulative_count: 16
|
|
upper_bound: -0.0002899999999999998
|
|
>
|
|
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
|
|
exemplars: <
|
|
label: <
|
|
name: "dummyID"
|
|
value: "59780"
|
|
>
|
|
value: -0.00039
|
|
timestamp: <
|
|
seconds: 1625851155
|
|
nanos: 146848499
|
|
>
|
|
>
|
|
>
|
|
timestamp_ms: 1234568
|
|
>
|
|
|
|
`,
|
|
}
|
|
|
|
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 model.MetricType
|
|
help string
|
|
unit string
|
|
comment string
|
|
shs *histogram.Histogram
|
|
fhs *histogram.FloatHistogram
|
|
e []exemplar.Exemplar
|
|
ct int64
|
|
}
|
|
|
|
inputBuf := createTestProtoBuf(t)
|
|
|
|
scenarios := []struct {
|
|
name string
|
|
parser Parser
|
|
expected []parseResult
|
|
}{
|
|
{
|
|
name: "ignore classic buckets of native histograms",
|
|
parser: NewProtobufParser(inputBuf.Bytes(), false, labels.NewSymbolTable()),
|
|
expected: []parseResult{
|
|
{
|
|
m: "go_build_info",
|
|
help: "Build information about the main Go module.",
|
|
},
|
|
{
|
|
m: "go_build_info",
|
|
typ: model.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.",
|
|
unit: "bytes",
|
|
},
|
|
{
|
|
m: "go_memstats_alloc_bytes_total",
|
|
typ: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.MetricTypeCounter,
|
|
},
|
|
{
|
|
m: "test_counter_with_createdtimestamp",
|
|
v: 42,
|
|
ct: 1000,
|
|
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: model.MetricTypeSummary,
|
|
},
|
|
{
|
|
m: "test_summary_with_createdtimestamp_count",
|
|
v: 42,
|
|
ct: 1000,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_summary_with_createdtimestamp_count",
|
|
),
|
|
},
|
|
{
|
|
m: "test_summary_with_createdtimestamp_sum",
|
|
v: 1.234,
|
|
ct: 1000,
|
|
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: model.MetricTypeHistogram,
|
|
},
|
|
{
|
|
m: "test_histogram_with_createdtimestamp",
|
|
ct: 1000,
|
|
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: model.MetricTypeGaugeHistogram,
|
|
},
|
|
{
|
|
m: "test_gaugehistogram_with_createdtimestamp",
|
|
ct: 1000,
|
|
shs: &histogram.Histogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
PositiveSpans: []histogram.Span{},
|
|
NegativeSpans: []histogram.Span{},
|
|
},
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_gaugehistogram_with_createdtimestamp",
|
|
),
|
|
},
|
|
{
|
|
m: "test_histogram_with_native_histogram_exemplars",
|
|
help: "A histogram with native histogram exemplars.",
|
|
},
|
|
{
|
|
m: "test_histogram_with_native_histogram_exemplars",
|
|
typ: model.MetricTypeHistogram,
|
|
},
|
|
{
|
|
m: "test_histogram_with_native_histogram_exemplars",
|
|
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_with_native_histogram_exemplars",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "59780"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
|
|
{Labels: labels.FromStrings("dummyID", "59772"), Value: -0.00052, HasTs: true, Ts: 1625851160156},
|
|
},
|
|
},
|
|
{
|
|
m: "test_histogram_with_native_histogram_exemplars2",
|
|
help: "Another histogram with native histogram exemplars.",
|
|
},
|
|
{
|
|
m: "test_histogram_with_native_histogram_exemplars2",
|
|
typ: model.MetricTypeHistogram,
|
|
},
|
|
{
|
|
m: "test_histogram_with_native_histogram_exemplars2",
|
|
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_with_native_histogram_exemplars2",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "59780"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
|
|
},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
name: "parse classic and native buckets",
|
|
parser: NewProtobufParser(inputBuf.Bytes(), true, labels.NewSymbolTable()),
|
|
expected: []parseResult{
|
|
{ // 0
|
|
m: "go_build_info",
|
|
help: "Build information about the main Go module.",
|
|
},
|
|
{ // 1
|
|
m: "go_build_info",
|
|
typ: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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: model.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",
|
|
),
|
|
},
|
|
{ // 81
|
|
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.",
|
|
},
|
|
{ // 82
|
|
m: "empty_histogram",
|
|
typ: model.MetricTypeHistogram,
|
|
},
|
|
{ // 83
|
|
m: "empty_histogram",
|
|
shs: &histogram.Histogram{
|
|
CounterResetHint: histogram.UnknownCounterReset,
|
|
PositiveSpans: []histogram.Span{},
|
|
NegativeSpans: []histogram.Span{},
|
|
},
|
|
lset: labels.FromStrings(
|
|
"__name__", "empty_histogram",
|
|
),
|
|
},
|
|
{ // 84
|
|
m: "test_counter_with_createdtimestamp",
|
|
help: "A counter with a created timestamp.",
|
|
},
|
|
{ // 85
|
|
m: "test_counter_with_createdtimestamp",
|
|
typ: model.MetricTypeCounter,
|
|
},
|
|
{ // 86
|
|
m: "test_counter_with_createdtimestamp",
|
|
v: 42,
|
|
ct: 1000,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_counter_with_createdtimestamp",
|
|
),
|
|
},
|
|
{ // 87
|
|
m: "test_summary_with_createdtimestamp",
|
|
help: "A summary with a created timestamp.",
|
|
},
|
|
{ // 88
|
|
m: "test_summary_with_createdtimestamp",
|
|
typ: model.MetricTypeSummary,
|
|
},
|
|
{ // 89
|
|
m: "test_summary_with_createdtimestamp_count",
|
|
v: 42,
|
|
ct: 1000,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_summary_with_createdtimestamp_count",
|
|
),
|
|
},
|
|
{ // 90
|
|
m: "test_summary_with_createdtimestamp_sum",
|
|
v: 1.234,
|
|
ct: 1000,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_summary_with_createdtimestamp_sum",
|
|
),
|
|
},
|
|
{ // 91
|
|
m: "test_histogram_with_createdtimestamp",
|
|
help: "A histogram with a created timestamp.",
|
|
},
|
|
{ // 92
|
|
m: "test_histogram_with_createdtimestamp",
|
|
typ: model.MetricTypeHistogram,
|
|
},
|
|
{ // 93
|
|
m: "test_histogram_with_createdtimestamp",
|
|
ct: 1000,
|
|
shs: &histogram.Histogram{
|
|
CounterResetHint: histogram.UnknownCounterReset,
|
|
PositiveSpans: []histogram.Span{},
|
|
NegativeSpans: []histogram.Span{},
|
|
},
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_createdtimestamp",
|
|
),
|
|
},
|
|
{ // 94
|
|
m: "test_gaugehistogram_with_createdtimestamp",
|
|
help: "A gauge histogram with a created timestamp.",
|
|
},
|
|
{ // 95
|
|
m: "test_gaugehistogram_with_createdtimestamp",
|
|
typ: model.MetricTypeGaugeHistogram,
|
|
},
|
|
{ // 96
|
|
m: "test_gaugehistogram_with_createdtimestamp",
|
|
ct: 1000,
|
|
shs: &histogram.Histogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
PositiveSpans: []histogram.Span{},
|
|
NegativeSpans: []histogram.Span{},
|
|
},
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_gaugehistogram_with_createdtimestamp",
|
|
),
|
|
},
|
|
{ // 97
|
|
m: "test_histogram_with_native_histogram_exemplars",
|
|
help: "A histogram with native histogram exemplars.",
|
|
},
|
|
{ // 98
|
|
m: "test_histogram_with_native_histogram_exemplars",
|
|
typ: model.MetricTypeHistogram,
|
|
},
|
|
{ // 99
|
|
m: "test_histogram_with_native_histogram_exemplars",
|
|
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_with_native_histogram_exemplars",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "59780"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
|
|
{Labels: labels.FromStrings("dummyID", "59772"), Value: -0.00052, HasTs: true, Ts: 1625851160156},
|
|
},
|
|
},
|
|
{ // 100
|
|
m: "test_histogram_with_native_histogram_exemplars_count",
|
|
t: 1234568,
|
|
v: 175,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars_count",
|
|
),
|
|
},
|
|
{ // 101
|
|
m: "test_histogram_with_native_histogram_exemplars_sum",
|
|
t: 1234568,
|
|
v: 0.0008280461746287094,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars_sum",
|
|
),
|
|
},
|
|
{ // 102
|
|
m: "test_histogram_with_native_histogram_exemplars_bucket\xffle\xff-0.0004899999999999998",
|
|
t: 1234568,
|
|
v: 2,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars_bucket",
|
|
"le", "-0.0004899999999999998",
|
|
),
|
|
},
|
|
{ // 103
|
|
m: "test_histogram_with_native_histogram_exemplars_bucket\xffle\xff-0.0003899999999999998",
|
|
t: 1234568,
|
|
v: 4,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars_bucket",
|
|
"le", "-0.0003899999999999998",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
|
|
},
|
|
},
|
|
{ // 104
|
|
m: "test_histogram_with_native_histogram_exemplars_bucket\xffle\xff-0.0002899999999999998",
|
|
t: 1234568,
|
|
v: 16,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars_bucket",
|
|
"le", "-0.0002899999999999998",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
|
|
},
|
|
},
|
|
{ // 105
|
|
m: "test_histogram_with_native_histogram_exemplars_bucket\xffle\xff+Inf",
|
|
t: 1234568,
|
|
v: 175,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars_bucket",
|
|
"le", "+Inf",
|
|
),
|
|
},
|
|
{ // 106
|
|
m: "test_histogram_with_native_histogram_exemplars2",
|
|
help: "Another histogram with native histogram exemplars.",
|
|
},
|
|
{ // 107
|
|
m: "test_histogram_with_native_histogram_exemplars2",
|
|
typ: model.MetricTypeHistogram,
|
|
},
|
|
{ // 108
|
|
m: "test_histogram_with_native_histogram_exemplars2",
|
|
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_with_native_histogram_exemplars2",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "59780"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
|
|
},
|
|
},
|
|
{ // 109
|
|
m: "test_histogram_with_native_histogram_exemplars2_count",
|
|
t: 1234568,
|
|
v: 175,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars2_count",
|
|
),
|
|
},
|
|
{ // 110
|
|
m: "test_histogram_with_native_histogram_exemplars2_sum",
|
|
t: 1234568,
|
|
v: 0.0008280461746287094,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars2_sum",
|
|
),
|
|
},
|
|
{ // 111
|
|
m: "test_histogram_with_native_histogram_exemplars2_bucket\xffle\xff-0.0004899999999999998",
|
|
t: 1234568,
|
|
v: 2,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars2_bucket",
|
|
"le", "-0.0004899999999999998",
|
|
),
|
|
},
|
|
{ // 112
|
|
m: "test_histogram_with_native_histogram_exemplars2_bucket\xffle\xff-0.0003899999999999998",
|
|
t: 1234568,
|
|
v: 4,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars2_bucket",
|
|
"le", "-0.0003899999999999998",
|
|
),
|
|
},
|
|
{ // 113
|
|
m: "test_histogram_with_native_histogram_exemplars2_bucket\xffle\xff-0.0002899999999999998",
|
|
t: 1234568,
|
|
v: 16,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars2_bucket",
|
|
"le", "-0.0002899999999999998",
|
|
),
|
|
},
|
|
{ // 114
|
|
m: "test_histogram_with_native_histogram_exemplars2_bucket\xffle\xff+Inf",
|
|
t: 1234568,
|
|
v: 175,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram_with_native_histogram_exemplars2_bucket",
|
|
"le", "+Inf",
|
|
),
|
|
},
|
|
},
|
|
},
|
|
}
|
|
|
|
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
|
|
p.Metric(&res)
|
|
eFound := p.Exemplar(&e)
|
|
ct := p.CreatedTimestamp()
|
|
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, int64(0), exp[i].t, "i: %d", i)
|
|
}
|
|
require.Equal(t, exp[i].v, v, "i: %d", i)
|
|
testutil.RequireEqual(t, exp[i].lset, res, "i: %d", i)
|
|
if len(exp[i].e) == 0 {
|
|
require.False(t, eFound, "i: %d", i)
|
|
} else {
|
|
require.True(t, eFound, "i: %d", i)
|
|
testutil.RequireEqual(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 != 0 {
|
|
require.NotNilf(t, ct, "i: %d", i)
|
|
require.Equal(t, exp[i].ct, *ct, "i: %d", i)
|
|
} else {
|
|
require.Nilf(t, ct, "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, int64(0), exp[i].t, "i: %d", i)
|
|
}
|
|
testutil.RequireEqual(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++ {
|
|
testutil.RequireEqual(t, exp[i].e[j], e, "i: %d", i)
|
|
e = exemplar.Exemplar{}
|
|
}
|
|
require.Len(t, 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.Len(t, exp, i)
|
|
})
|
|
}
|
|
}
|