prometheus/prompb/types.proto

// 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;
}

message ExemplarRef {
    // Optional, can be empty.
    repeated LabelRef 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;
  }

  // Negative Buckets.
  repeated BucketSpan negative_spans =  8 [(gogoproto.nullable) = false];
  // Use either "negative_deltas" or "negative_counts", the former for
  // regular histograms with integer counts, the latter for float
  // histograms.
  repeated sint64 negative_deltas    =  9; // Count delta of each bucket compared to previous one (or to zero for 1st bucket).
  repeated double negative_counts    = 10; // Absolute count of each bucket.

  // Positive Buckets.
  repeated BucketSpan positive_spans = 11 [(gogoproto.nullable) = false];
  // Use either "positive_deltas" or "positive_counts", the former for
  // regular histograms with integer counts, the latter for float
  // histograms.
  repeated sint64 positive_deltas    = 12; // Count delta of each bucket compared to previous one (or to zero for 1st bucket).
  repeated double positive_counts    = 13; // Absolute count of each bucket.

  ResetHint reset_hint               = 14;
  // timestamp is in ms format, see model/timestamp/timestamp.go for
  // conversion from time.Time to Prometheus timestamp.
  int64 timestamp = 15;
}

// A BucketSpan defines a number of consecutive buckets with their
// 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 BucketSpan {
  sint32 offset = 1; // Gap to previous span, or starting point for 1st span (which can be negative).
  uint32 length = 2; // Length of consecutive buckets.
}

// 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];
}

// TimeSeries represents samples and labels for a single time series.
message ReducedTimeSeries {
  // 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 LabelRef labels         = 1 [(gogoproto.nullable) = false];
  repeated Sample samples       = 2 [(gogoproto.nullable) = false];
  repeated ExemplarRef exemplars   = 3 [(gogoproto.nullable) = false];
  repeated Histogram histograms = 4 [(gogoproto.nullable) = false];
}

message LabelRef {
  uint64 name_ref = 1;
  uint64 value_ref = 2;
}

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;
    FLOAT_HISTOGRAM = 3;
  }
  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];
}