prometheus/prompb/types.proto
beorn7 d9d51c565c prompb: Add histograms to remote write/read protobufs
Signed-off-by: beorn7 <beorn@grafana.com>
2022-06-29 18:01:12 +02:00

181 lines
6.1 KiB
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// Copyright 2017 Prometheus Team
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
syntax = "proto3";
package prometheus;
option go_package = "prompb";
import "gogoproto/gogo.proto";
message MetricMetadata {
enum MetricType {
UNKNOWN = 0;
COUNTER = 1;
GAUGE = 2;
HISTOGRAM = 3;
GAUGEHISTOGRAM = 4;
SUMMARY = 5;
INFO = 6;
STATESET = 7;
}
// Represents the metric type, these match the set from Prometheus.
// Refer to model/textparse/interface.go for details.
MetricType type = 1;
string metric_family_name = 2;
string help = 4;
string unit = 5;
}
message Sample {
double value = 1;
// timestamp is in ms format, see model/timestamp/timestamp.go for
// conversion from time.Time to Prometheus timestamp.
int64 timestamp = 2;
}
message Exemplar {
// Optional, can be empty.
repeated Label labels = 1 [(gogoproto.nullable) = false];
double value = 2;
// timestamp is in ms format, see model/timestamp/timestamp.go for
// conversion from time.Time to Prometheus timestamp.
int64 timestamp = 3;
}
// A native histogram, also known as a sparse histogram.
// Original design doc:
// https://docs.google.com/document/d/1cLNv3aufPZb3fNfaJgdaRBZsInZKKIHo9E6HinJVbpM/edit
// The appendix of this design doc also explains the concept of float
// histograms. This Histogram message can represent both, the usual
// integer histogram as well as a float histogram.
message Histogram {
enum ResetHint {
UNKNOWN = 0; // Need to test for a counter reset explicitly.
YES = 1; // This is the 1st histogram after a counter reset.
NO = 2; // There was no counter reset between this and the previous Histogram.
GAUGE = 3; // This is a gauge histogram where counter resets don't happen.
}
oneof count { // Count of observations in the histogram.
uint64 count_int = 1;
double count_float = 2;
}
double sum = 3; // Sum of observations in the histogram.
// The schema defines the bucket schema. Currently, valid numbers
// are -4 <= n <= 8. They are all for base-2 bucket schemas, where 1
// is a bucket boundary in each case, and then each power of two is
// divided into 2^n logarithmic buckets. Or in other words, each
// bucket boundary is the previous boundary times 2^(2^-n). In the
// future, more bucket schemas may be added using numbers < -4 or >
// 8.
sint32 schema = 4;
double zero_threshold = 5; // Breadth of the zero bucket.
oneof zero_count { // Count in zero bucket.
uint64 zero_count_int = 6;
double zero_count_float = 7;
}
Buckets negative_buckets = 8;
Buckets positive_buckets = 9;
ResetHint reset_hint = 10;
// timestamp is in ms format, see model/timestamp/timestamp.go for
// conversion from time.Time to Prometheus timestamp.
int64 timestamp = 11;
}
// Sparse buckets.
message Buckets {
// A Span is a given number of consecutive buckets at a given
// offset. Logically, it would be more straightforward to include
// the bucket counts in the Span. However, the protobuf
// representation is more compact in the way the data is structured
// here (with all the buckets in a single array separate from the
// Spans).
message Span {
sint32 offset = 1; // Gap to previous span, or starting point for 1st span (which can be negative).
uint32 length = 2; // Length of consecutive buckets.
}
repeated Span span = 1;
// Only one of "delta" or "count" may be used, the former for regular
// histograms with integer counts, the latter for float histograms.
repeated sint64 delta = 2; // Count delta of each bucket compared to previous one (or to zero for 1st bucket).
repeated double count = 3; // Absolute count of each bucket.
}
// TimeSeries represents samples and labels for a single time series.
message TimeSeries {
// For a timeseries to be valid, and for the samples and exemplars
// to be ingested by the remote system properly, the labels field is required.
repeated Label labels = 1 [(gogoproto.nullable) = false];
repeated Sample samples = 2 [(gogoproto.nullable) = false];
repeated Exemplar exemplars = 3 [(gogoproto.nullable) = false];
repeated Histogram histograms = 4 [(gogoproto.nullable) = false];
}
message Label {
string name = 1;
string value = 2;
}
message Labels {
repeated Label labels = 1 [(gogoproto.nullable) = false];
}
// Matcher specifies a rule, which can match or set of labels or not.
message LabelMatcher {
enum Type {
EQ = 0;
NEQ = 1;
RE = 2;
NRE = 3;
}
Type type = 1;
string name = 2;
string value = 3;
}
message ReadHints {
int64 step_ms = 1; // Query step size in milliseconds.
string func = 2; // String representation of surrounding function or aggregation.
int64 start_ms = 3; // Start time in milliseconds.
int64 end_ms = 4; // End time in milliseconds.
repeated string grouping = 5; // List of label names used in aggregation.
bool by = 6; // Indicate whether it is without or by.
int64 range_ms = 7; // Range vector selector range in milliseconds.
}
// Chunk represents a TSDB chunk.
// Time range [min, max] is inclusive.
message Chunk {
int64 min_time_ms = 1;
int64 max_time_ms = 2;
// We require this to match chunkenc.Encoding.
enum Encoding {
UNKNOWN = 0;
XOR = 1;
HISTOGRAM = 2;
}
Encoding type = 3;
bytes data = 4;
}
// ChunkedSeries represents single, encoded time series.
message ChunkedSeries {
// Labels should be sorted.
repeated Label labels = 1 [(gogoproto.nullable) = false];
// Chunks will be in start time order and may overlap.
repeated Chunk chunks = 2 [(gogoproto.nullable) = false];
}