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https://github.com/prometheus/prometheus.git
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87351f2318
Note: This is deliberately an incompatible change. Since we have never used histograms in remote read/write yet, there is no point in keeping compatibility. This _is_, however, compatible to the state in the main branch. This commit flattens the bucket message into top-level fields. This has the disadvantage of now having two triples of fields prefixed with `negative_...` or `positive_...`. However, with this structure, we save one tag on the wire. And, perhaps more importantly, we mirror the structure of the `histogram.Histogram` Go type. This commit also adjusts `repeated` fields to use names in the plural form, as it is also the case for the fields that already existed. This also adds a doc comment to `HistogramProtoToHistogram` and changes its return type to a pointer (which is more convenient and probably more efficient). Signed-off-by: beorn7 <beorn@grafana.com>
187 lines
6.5 KiB
Protocol Buffer
187 lines
6.5 KiB
Protocol Buffer
// Copyright 2017 Prometheus Team
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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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syntax = "proto3";
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package prometheus;
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option go_package = "prompb";
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import "gogoproto/gogo.proto";
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message MetricMetadata {
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enum MetricType {
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UNKNOWN = 0;
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COUNTER = 1;
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GAUGE = 2;
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HISTOGRAM = 3;
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GAUGEHISTOGRAM = 4;
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SUMMARY = 5;
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INFO = 6;
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STATESET = 7;
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}
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// Represents the metric type, these match the set from Prometheus.
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// Refer to model/textparse/interface.go for details.
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MetricType type = 1;
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string metric_family_name = 2;
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string help = 4;
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string unit = 5;
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}
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message Sample {
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double value = 1;
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// timestamp is in ms format, see model/timestamp/timestamp.go for
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// conversion from time.Time to Prometheus timestamp.
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int64 timestamp = 2;
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}
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message Exemplar {
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// Optional, can be empty.
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repeated Label labels = 1 [(gogoproto.nullable) = false];
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double value = 2;
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// timestamp is in ms format, see model/timestamp/timestamp.go for
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// conversion from time.Time to Prometheus timestamp.
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int64 timestamp = 3;
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}
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// A native histogram, also known as a sparse histogram.
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// Original design doc:
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// https://docs.google.com/document/d/1cLNv3aufPZb3fNfaJgdaRBZsInZKKIHo9E6HinJVbpM/edit
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// The appendix of this design doc also explains the concept of float
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// histograms. This Histogram message can represent both, the usual
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// integer histogram as well as a float histogram.
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message Histogram {
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enum ResetHint {
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UNKNOWN = 0; // Need to test for a counter reset explicitly.
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YES = 1; // This is the 1st histogram after a counter reset.
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NO = 2; // There was no counter reset between this and the previous Histogram.
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GAUGE = 3; // This is a gauge histogram where counter resets don't happen.
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}
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oneof count { // Count of observations in the histogram.
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uint64 count_int = 1;
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double count_float = 2;
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}
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double sum = 3; // Sum of observations in the histogram.
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// The schema defines the bucket schema. Currently, valid numbers
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// are -4 <= n <= 8. They are all for base-2 bucket schemas, where 1
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// is a bucket boundary in each case, and then each power of two is
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// divided into 2^n logarithmic buckets. Or in other words, each
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// bucket boundary is the previous boundary times 2^(2^-n). In the
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// future, more bucket schemas may be added using numbers < -4 or >
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// 8.
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sint32 schema = 4;
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double zero_threshold = 5; // Breadth of the zero bucket.
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oneof zero_count { // Count in zero bucket.
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uint64 zero_count_int = 6;
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double zero_count_float = 7;
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}
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// Negative Buckets.
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repeated BucketSpan negative_spans = 8;
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// Use either "negative_deltas" or "negative_counts", the former for
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// regular histograms with integer counts, the latter for float
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// histograms.
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repeated sint64 negative_deltas = 9; // Count delta of each bucket compared to previous one (or to zero for 1st bucket).
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repeated double negative_counts = 10; // Absolute count of each bucket.
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// Positive Buckets.
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repeated BucketSpan positive_spans = 11;
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// Use either "positive_deltas" or "positive_counts", the former for
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// regular histograms with integer counts, the latter for float
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// histograms.
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repeated sint64 positive_deltas = 12; // Count delta of each bucket compared to previous one (or to zero for 1st bucket).
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repeated double positive_counts = 13; // Absolute count of each bucket.
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ResetHint reset_hint = 14;
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// timestamp is in ms format, see model/timestamp/timestamp.go for
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// conversion from time.Time to Prometheus timestamp.
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int64 timestamp = 15;
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}
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// A BucketSpan defines a number of consecutive buckets with their
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// offset. Logically, it would be more straightforward to include the
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// bucket counts in the Span. However, the protobuf representation is
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// more compact in the way the data is structured here (with all the
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// buckets in a single array separate from the Spans).
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message BucketSpan {
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sint32 offset = 1; // Gap to previous span, or starting point for 1st span (which can be negative).
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uint32 length = 2; // Length of consecutive buckets.
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}
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// TimeSeries represents samples and labels for a single time series.
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message TimeSeries {
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// For a timeseries to be valid, and for the samples and exemplars
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// to be ingested by the remote system properly, the labels field is required.
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repeated Label labels = 1 [(gogoproto.nullable) = false];
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repeated Sample samples = 2 [(gogoproto.nullable) = false];
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repeated Exemplar exemplars = 3 [(gogoproto.nullable) = false];
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repeated Histogram histograms = 4 [(gogoproto.nullable) = false];
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}
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message Label {
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string name = 1;
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string value = 2;
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}
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message Labels {
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repeated Label labels = 1 [(gogoproto.nullable) = false];
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}
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// Matcher specifies a rule, which can match or set of labels or not.
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message LabelMatcher {
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enum Type {
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EQ = 0;
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NEQ = 1;
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RE = 2;
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NRE = 3;
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}
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Type type = 1;
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string name = 2;
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string value = 3;
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}
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message ReadHints {
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int64 step_ms = 1; // Query step size in milliseconds.
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string func = 2; // String representation of surrounding function or aggregation.
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int64 start_ms = 3; // Start time in milliseconds.
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int64 end_ms = 4; // End time in milliseconds.
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repeated string grouping = 5; // List of label names used in aggregation.
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bool by = 6; // Indicate whether it is without or by.
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int64 range_ms = 7; // Range vector selector range in milliseconds.
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}
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// Chunk represents a TSDB chunk.
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// Time range [min, max] is inclusive.
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message Chunk {
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int64 min_time_ms = 1;
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int64 max_time_ms = 2;
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// We require this to match chunkenc.Encoding.
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enum Encoding {
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UNKNOWN = 0;
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XOR = 1;
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HISTOGRAM = 2;
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}
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Encoding type = 3;
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bytes data = 4;
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}
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// ChunkedSeries represents single, encoded time series.
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message ChunkedSeries {
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// Labels should be sorted.
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repeated Label labels = 1 [(gogoproto.nullable) = false];
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// Chunks will be in start time order and may overlap.
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repeated Chunk chunks = 2 [(gogoproto.nullable) = false];
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}
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