mirror of
https://github.com/prometheus/prometheus.git
synced 2025-10-31 08:21:16 +01:00
895 lines
20 KiB
Go
895 lines
20 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/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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dto "github.com/prometheus/prometheus/prompb/io/prometheus/client"
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)
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func TestProtobufParse(t *testing.T) {
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textMetricFamilies := []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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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: 175
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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: 175
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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: "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."
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type: SUMMARY
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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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}
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varintBuf := make([]byte, binary.MaxVarintLen32)
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inputBuf := &bytes.Buffer{}
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for _, tmf := range textMetricFamilies {
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pb := &dto.MetricFamily{}
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// From text to proto message.
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require.NoError(t, proto.UnmarshalText(tmf, pb))
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// From proto message to binary protobuf.
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protoBuf, err := proto.Marshal(pb)
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require.NoError(t, err)
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// Write first length, then binary protobuf.
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varintLength := binary.PutUvarint(varintBuf, uint64(len(protoBuf)))
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inputBuf.Write(varintBuf[:varintLength])
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inputBuf.Write(protoBuf)
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}
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exp := []struct {
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lset labels.Labels
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m string
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t int64
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v float64
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typ MetricType
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help string
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unit string
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comment string
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shs *histogram.Histogram
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fhs *histogram.FloatHistogram
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e []exemplar.Exemplar
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}{
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{
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m: "go_build_info",
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help: "Build information about the main Go module.",
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},
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{
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m: "go_build_info",
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typ: MetricTypeGauge,
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},
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{
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m: "go_build_info\xFFchecksum\xFF\xFFpath\xFFgithub.com/prometheus/client_golang\xFFversion\xFF(devel)",
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v: 1,
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lset: labels.FromStrings(
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"__name__", "go_build_info",
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"checksum", "",
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"path", "github.com/prometheus/client_golang",
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"version", "(devel)",
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),
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},
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{
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m: "go_memstats_alloc_bytes_total",
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help: "Total number of bytes allocated, even if freed.",
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},
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{
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m: "go_memstats_alloc_bytes_total",
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typ: MetricTypeCounter,
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},
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{
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m: "go_memstats_alloc_bytes_total",
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v: 1.546544e+06,
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lset: labels.FromStrings(
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"__name__", "go_memstats_alloc_bytes_total",
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),
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e: []exemplar.Exemplar{
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{Labels: labels.FromStrings("dummyID", "42"), Value: 12, HasTs: true, Ts: 1625851151233},
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},
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},
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{
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m: "something_untyped",
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help: "Just to test the untyped type.",
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},
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{
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m: "something_untyped",
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typ: MetricTypeUnknown,
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},
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{
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m: "something_untyped",
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t: 1234567,
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v: 42,
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lset: labels.FromStrings(
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"__name__", "something_untyped",
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),
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},
|
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{
|
|
m: "test_histogram",
|
|
help: "Test histogram with many buckets removed to keep it manageable in size.",
|
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},
|
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{
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m: "test_histogram",
|
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typ: MetricTypeHistogram,
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},
|
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{
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m: "test_histogram",
|
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t: 1234568,
|
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shs: &histogram.Histogram{
|
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Count: 175,
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ZeroCount: 2,
|
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Sum: 0.0008280461746287094,
|
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ZeroThreshold: 2.938735877055719e-39,
|
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Schema: 3,
|
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PositiveSpans: []histogram.Span{
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{Offset: -161, Length: 1},
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{Offset: 8, Length: 3},
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},
|
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NegativeSpans: []histogram.Span{
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{Offset: -162, Length: 1},
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{Offset: 23, Length: 4},
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},
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PositiveBuckets: []int64{1, 2, -1, -1},
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NegativeBuckets: []int64{1, 3, -2, -1, 1},
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},
|
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lset: labels.FromStrings(
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"__name__", "test_histogram",
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),
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e: []exemplar.Exemplar{
|
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{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
|
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{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
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},
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},
|
|
{
|
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m: "test_gauge_histogram",
|
|
help: "Like test_histogram but as gauge histogram.",
|
|
},
|
|
{
|
|
m: "test_gauge_histogram",
|
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typ: MetricTypeGaugeHistogram,
|
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},
|
|
{
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m: "test_gauge_histogram",
|
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t: 1234568,
|
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shs: &histogram.Histogram{
|
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CounterResetHint: histogram.GaugeType,
|
|
Count: 175,
|
|
ZeroCount: 2,
|
|
Sum: 0.0008280461746287094,
|
|
ZeroThreshold: 2.938735877055719e-39,
|
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Schema: 3,
|
|
PositiveSpans: []histogram.Span{
|
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{Offset: -161, Length: 1},
|
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{Offset: 8, Length: 3},
|
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},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: -162, Length: 1},
|
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{Offset: 23, Length: 4},
|
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},
|
|
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},
|
|
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
|
|
},
|
|
},
|
|
{
|
|
m: "test_float_histogram",
|
|
help: "Test float histogram with many buckets removed to keep it manageable in size.",
|
|
},
|
|
{
|
|
m: "test_float_histogram",
|
|
typ: MetricTypeHistogram,
|
|
},
|
|
{
|
|
m: "test_float_histogram",
|
|
t: 1234568,
|
|
fhs: &histogram.FloatHistogram{
|
|
Count: 175.0,
|
|
ZeroCount: 2.0,
|
|
Sum: 0.0008280461746287094,
|
|
ZeroThreshold: 2.938735877055719e-39,
|
|
Schema: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: -161, Length: 1},
|
|
{Offset: 8, Length: 3},
|
|
},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: -162, Length: 1},
|
|
{Offset: 23, Length: 4},
|
|
},
|
|
PositiveBuckets: []float64{1.0, 2.0, -1.0, -1.0},
|
|
NegativeBuckets: []float64{1.0, 3.0, -2.0, -1.0, 1.0},
|
|
},
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_float_histogram",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
|
|
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
|
|
},
|
|
},
|
|
{
|
|
m: "test_gauge_float_histogram",
|
|
help: "Like test_float_histogram but as gauge histogram.",
|
|
},
|
|
{
|
|
m: "test_gauge_float_histogram",
|
|
typ: MetricTypeGaugeHistogram,
|
|
},
|
|
{
|
|
m: "test_gauge_float_histogram",
|
|
t: 1234568,
|
|
fhs: &histogram.FloatHistogram{
|
|
CounterResetHint: histogram.GaugeType,
|
|
Count: 175.0,
|
|
ZeroCount: 2.0,
|
|
Sum: 0.0008280461746287094,
|
|
ZeroThreshold: 2.938735877055719e-39,
|
|
Schema: 3,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: -161, Length: 1},
|
|
{Offset: 8, Length: 3},
|
|
},
|
|
NegativeSpans: []histogram.Span{
|
|
{Offset: -162, Length: 1},
|
|
{Offset: 23, Length: 4},
|
|
},
|
|
PositiveBuckets: []float64{1.0, 2.0, -1.0, -1.0},
|
|
NegativeBuckets: []float64{1.0, 3.0, -2.0, -1.0, 1.0},
|
|
},
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_gauge_float_histogram",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, HasTs: true, Ts: 1625851155146},
|
|
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, HasTs: false},
|
|
},
|
|
},
|
|
{
|
|
m: "test_histogram2",
|
|
help: "Similar histogram as before but now without sparse buckets.",
|
|
},
|
|
{
|
|
m: "test_histogram2",
|
|
typ: MetricTypeHistogram,
|
|
},
|
|
{
|
|
m: "test_histogram2_count",
|
|
v: 175,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram2_count",
|
|
),
|
|
},
|
|
{
|
|
m: "test_histogram2_sum",
|
|
v: 0.000828,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram2_sum",
|
|
),
|
|
},
|
|
{
|
|
m: "test_histogram2_bucket\xffle\xff-0.00048",
|
|
v: 2,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram2_bucket",
|
|
"le", "-0.00048",
|
|
),
|
|
},
|
|
{
|
|
m: "test_histogram2_bucket\xffle\xff-0.00038",
|
|
v: 4,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram2_bucket",
|
|
"le", "-0.00038",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00038, HasTs: true, Ts: 1625851153146},
|
|
},
|
|
},
|
|
{
|
|
m: "test_histogram2_bucket\xffle\xff1.0",
|
|
v: 16,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram2_bucket",
|
|
"le", "1.0",
|
|
),
|
|
e: []exemplar.Exemplar{
|
|
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.000295, HasTs: false},
|
|
},
|
|
},
|
|
{
|
|
m: "test_histogram2_bucket\xffle\xff+Inf",
|
|
v: 175,
|
|
lset: labels.FromStrings(
|
|
"__name__", "test_histogram2_bucket",
|
|
"le", "+Inf",
|
|
),
|
|
},
|
|
{
|
|
m: "rpc_durations_seconds",
|
|
help: "RPC latency distributions.",
|
|
},
|
|
{
|
|
m: "rpc_durations_seconds",
|
|
typ: MetricTypeSummary,
|
|
},
|
|
{
|
|
m: "rpc_durations_seconds_count\xffservice\xffexponential",
|
|
v: 262,
|
|
lset: labels.FromStrings(
|
|
"__name__", "rpc_durations_seconds_count",
|
|
"service", "exponential",
|
|
),
|
|
},
|
|
{
|
|
m: "rpc_durations_seconds_sum\xffservice\xffexponential",
|
|
v: 0.00025551262820703587,
|
|
lset: labels.FromStrings(
|
|
"__name__", "rpc_durations_seconds_sum",
|
|
"service", "exponential",
|
|
),
|
|
},
|
|
{
|
|
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.5",
|
|
v: 6.442786329648548e-07,
|
|
lset: labels.FromStrings(
|
|
"__name__", "rpc_durations_seconds",
|
|
"quantile", "0.5",
|
|
"service", "exponential",
|
|
),
|
|
},
|
|
{
|
|
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.9",
|
|
v: 1.9435742936658396e-06,
|
|
lset: labels.FromStrings(
|
|
"__name__", "rpc_durations_seconds",
|
|
"quantile", "0.9",
|
|
"service", "exponential",
|
|
),
|
|
},
|
|
{
|
|
m: "rpc_durations_seconds\xffservice\xffexponential\xffquantile\xff0.99",
|
|
v: 4.0471608667037015e-06,
|
|
lset: labels.FromStrings(
|
|
"__name__", "rpc_durations_seconds",
|
|
"quantile", "0.99",
|
|
"service", "exponential",
|
|
),
|
|
},
|
|
{
|
|
m: "without_quantiles",
|
|
help: "A summary without quantiles.",
|
|
},
|
|
{
|
|
m: "without_quantiles",
|
|
typ: MetricTypeSummary,
|
|
},
|
|
{
|
|
m: "without_quantiles_count",
|
|
v: 42,
|
|
lset: labels.FromStrings(
|
|
"__name__", "without_quantiles_count",
|
|
),
|
|
},
|
|
{
|
|
m: "without_quantiles_sum",
|
|
v: 1.234,
|
|
lset: labels.FromStrings(
|
|
"__name__", "without_quantiles_sum",
|
|
),
|
|
},
|
|
}
|
|
|
|
p := NewProtobufParser(inputBuf.Bytes())
|
|
i := 0
|
|
|
|
var res labels.Labels
|
|
|
|
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)
|
|
found := p.Exemplar(&e)
|
|
require.Equal(t, exp[i].m, string(m))
|
|
if ts != nil {
|
|
require.Equal(t, exp[i].t, *ts)
|
|
} else {
|
|
require.Equal(t, exp[i].t, int64(0))
|
|
}
|
|
require.Equal(t, exp[i].v, v)
|
|
require.Equal(t, exp[i].lset, res)
|
|
if len(exp[i].e) == 0 {
|
|
require.Equal(t, false, found)
|
|
} else {
|
|
require.Equal(t, true, found)
|
|
require.Equal(t, exp[i].e[0], e)
|
|
}
|
|
|
|
case EntryHistogram:
|
|
m, ts, shs, fhs := p.Histogram()
|
|
p.Metric(&res)
|
|
require.Equal(t, exp[i].m, string(m))
|
|
if ts != nil {
|
|
require.Equal(t, exp[i].t, *ts)
|
|
} else {
|
|
require.Equal(t, exp[i].t, int64(0))
|
|
}
|
|
require.Equal(t, exp[i].lset, res)
|
|
require.Equal(t, exp[i].m, string(m))
|
|
if shs != nil {
|
|
require.Equal(t, exp[i].shs, shs)
|
|
} else {
|
|
require.Equal(t, exp[i].fhs, fhs)
|
|
}
|
|
j := 0
|
|
for e := (exemplar.Exemplar{}); p.Exemplar(&e); j++ {
|
|
require.Equal(t, exp[i].e[j], e)
|
|
e = exemplar.Exemplar{}
|
|
}
|
|
require.Equal(t, len(exp[i].e), j, "not enough exemplars found")
|
|
|
|
case EntryType:
|
|
m, typ := p.Type()
|
|
require.Equal(t, exp[i].m, string(m))
|
|
require.Equal(t, exp[i].typ, typ)
|
|
|
|
case EntryHelp:
|
|
m, h := p.Help()
|
|
require.Equal(t, exp[i].m, string(m))
|
|
require.Equal(t, exp[i].help, string(h))
|
|
|
|
case EntryUnit:
|
|
m, u := p.Unit()
|
|
require.Equal(t, exp[i].m, string(m))
|
|
require.Equal(t, exp[i].unit, string(u))
|
|
|
|
case EntryComment:
|
|
require.Equal(t, exp[i].comment, string(p.Comment()))
|
|
}
|
|
|
|
i++
|
|
}
|
|
require.Equal(t, len(exp), i)
|
|
}
|