Little helper to run CNCF's k3s in Docker
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k3d/vendor/go.opentelemetry.io/proto/otlp/metrics/v1/metrics.pb.go

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// Copyright 2019, OpenTelemetry Authors
//
// 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.
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.26.0
// protoc v3.21.6
// source: opentelemetry/proto/metrics/v1/metrics.proto
package v1
import (
v11 "go.opentelemetry.io/proto/otlp/common/v1"
v1 "go.opentelemetry.io/proto/otlp/resource/v1"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
reflect "reflect"
sync "sync"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
// AggregationTemporality defines how a metric aggregator reports aggregated
// values. It describes how those values relate to the time interval over
// which they are aggregated.
type AggregationTemporality int32
const (
// UNSPECIFIED is the default AggregationTemporality, it MUST not be used.
AggregationTemporality_AGGREGATION_TEMPORALITY_UNSPECIFIED AggregationTemporality = 0
// DELTA is an AggregationTemporality for a metric aggregator which reports
// changes since last report time. Successive metrics contain aggregation of
// values from continuous and non-overlapping intervals.
//
// The values for a DELTA metric are based only on the time interval
// associated with one measurement cycle. There is no dependency on
// previous measurements like is the case for CUMULATIVE metrics.
//
// For example, consider a system measuring the number of requests that
// it receives and reports the sum of these requests every second as a
// DELTA metric:
//
// 1. The system starts receiving at time=t_0.
// 2. A request is received, the system measures 1 request.
// 3. A request is received, the system measures 1 request.
// 4. A request is received, the system measures 1 request.
// 5. The 1 second collection cycle ends. A metric is exported for the
// number of requests received over the interval of time t_0 to
// t_0+1 with a value of 3.
// 6. A request is received, the system measures 1 request.
// 7. A request is received, the system measures 1 request.
// 8. The 1 second collection cycle ends. A metric is exported for the
// number of requests received over the interval of time t_0+1 to
// t_0+2 with a value of 2.
AggregationTemporality_AGGREGATION_TEMPORALITY_DELTA AggregationTemporality = 1
// CUMULATIVE is an AggregationTemporality for a metric aggregator which
// reports changes since a fixed start time. This means that current values
// of a CUMULATIVE metric depend on all previous measurements since the
// start time. Because of this, the sender is required to retain this state
// in some form. If this state is lost or invalidated, the CUMULATIVE metric
// values MUST be reset and a new fixed start time following the last
// reported measurement time sent MUST be used.
//
// For example, consider a system measuring the number of requests that
// it receives and reports the sum of these requests every second as a
// CUMULATIVE metric:
//
// 1. The system starts receiving at time=t_0.
// 2. A request is received, the system measures 1 request.
// 3. A request is received, the system measures 1 request.
// 4. A request is received, the system measures 1 request.
// 5. The 1 second collection cycle ends. A metric is exported for the
// number of requests received over the interval of time t_0 to
// t_0+1 with a value of 3.
// 6. A request is received, the system measures 1 request.
// 7. A request is received, the system measures 1 request.
// 8. The 1 second collection cycle ends. A metric is exported for the
// number of requests received over the interval of time t_0 to
// t_0+2 with a value of 5.
// 9. The system experiences a fault and loses state.
// 10. The system recovers and resumes receiving at time=t_1.
// 11. A request is received, the system measures 1 request.
// 12. The 1 second collection cycle ends. A metric is exported for the
// number of requests received over the interval of time t_1 to
// t_0+1 with a value of 1.
//
// Note: Even though, when reporting changes since last report time, using
// CUMULATIVE is valid, it is not recommended. This may cause problems for
// systems that do not use start_time to determine when the aggregation
// value was reset (e.g. Prometheus).
AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE AggregationTemporality = 2
)
// Enum value maps for AggregationTemporality.
var (
AggregationTemporality_name = map[int32]string{
0: "AGGREGATION_TEMPORALITY_UNSPECIFIED",
1: "AGGREGATION_TEMPORALITY_DELTA",
2: "AGGREGATION_TEMPORALITY_CUMULATIVE",
}
AggregationTemporality_value = map[string]int32{
"AGGREGATION_TEMPORALITY_UNSPECIFIED": 0,
"AGGREGATION_TEMPORALITY_DELTA": 1,
"AGGREGATION_TEMPORALITY_CUMULATIVE": 2,
}
)
func (x AggregationTemporality) Enum() *AggregationTemporality {
p := new(AggregationTemporality)
*p = x
return p
}
func (x AggregationTemporality) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (AggregationTemporality) Descriptor() protoreflect.EnumDescriptor {
return file_opentelemetry_proto_metrics_v1_metrics_proto_enumTypes[0].Descriptor()
}
func (AggregationTemporality) Type() protoreflect.EnumType {
return &file_opentelemetry_proto_metrics_v1_metrics_proto_enumTypes[0]
}
func (x AggregationTemporality) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use AggregationTemporality.Descriptor instead.
func (AggregationTemporality) EnumDescriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{0}
}
// DataPointFlags is defined as a protobuf 'uint32' type and is to be used as a
// bit-field representing 32 distinct boolean flags. Each flag defined in this
// enum is a bit-mask. To test the presence of a single flag in the flags of
// a data point, for example, use an expression like:
//
// (point.flags & DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK) == DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK
//
type DataPointFlags int32
const (
// The zero value for the enum. Should not be used for comparisons.
// Instead use bitwise "and" with the appropriate mask as shown above.
DataPointFlags_DATA_POINT_FLAGS_DO_NOT_USE DataPointFlags = 0
// This DataPoint is valid but has no recorded value. This value
// SHOULD be used to reflect explicitly missing data in a series, as
// for an equivalent to the Prometheus "staleness marker".
DataPointFlags_DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK DataPointFlags = 1
)
// Enum value maps for DataPointFlags.
var (
DataPointFlags_name = map[int32]string{
0: "DATA_POINT_FLAGS_DO_NOT_USE",
1: "DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK",
}
DataPointFlags_value = map[string]int32{
"DATA_POINT_FLAGS_DO_NOT_USE": 0,
"DATA_POINT_FLAGS_NO_RECORDED_VALUE_MASK": 1,
}
)
func (x DataPointFlags) Enum() *DataPointFlags {
p := new(DataPointFlags)
*p = x
return p
}
func (x DataPointFlags) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (DataPointFlags) Descriptor() protoreflect.EnumDescriptor {
return file_opentelemetry_proto_metrics_v1_metrics_proto_enumTypes[1].Descriptor()
}
func (DataPointFlags) Type() protoreflect.EnumType {
return &file_opentelemetry_proto_metrics_v1_metrics_proto_enumTypes[1]
}
func (x DataPointFlags) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use DataPointFlags.Descriptor instead.
func (DataPointFlags) EnumDescriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{1}
}
// MetricsData represents the metrics data that can be stored in a persistent
// storage, OR can be embedded by other protocols that transfer OTLP metrics
// data but do not implement the OTLP protocol.
//
// The main difference between this message and collector protocol is that
// in this message there will not be any "control" or "metadata" specific to
// OTLP protocol.
//
// When new fields are added into this message, the OTLP request MUST be updated
// as well.
type MetricsData struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// An array of ResourceMetrics.
// For data coming from a single resource this array will typically contain
// one element. Intermediary nodes that receive data from multiple origins
// typically batch the data before forwarding further and in that case this
// array will contain multiple elements.
ResourceMetrics []*ResourceMetrics `protobuf:"bytes,1,rep,name=resource_metrics,json=resourceMetrics,proto3" json:"resource_metrics,omitempty"`
}
func (x *MetricsData) Reset() {
*x = MetricsData{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *MetricsData) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*MetricsData) ProtoMessage() {}
func (x *MetricsData) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[0]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use MetricsData.ProtoReflect.Descriptor instead.
func (*MetricsData) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{0}
}
func (x *MetricsData) GetResourceMetrics() []*ResourceMetrics {
if x != nil {
return x.ResourceMetrics
}
return nil
}
// A collection of ScopeMetrics from a Resource.
type ResourceMetrics struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The resource for the metrics in this message.
// If this field is not set then no resource info is known.
Resource *v1.Resource `protobuf:"bytes,1,opt,name=resource,proto3" json:"resource,omitempty"`
// A list of metrics that originate from a resource.
ScopeMetrics []*ScopeMetrics `protobuf:"bytes,2,rep,name=scope_metrics,json=scopeMetrics,proto3" json:"scope_metrics,omitempty"`
// The Schema URL, if known. This is the identifier of the Schema that the resource data
// is recorded in. To learn more about Schema URL see
// https://opentelemetry.io/docs/specs/otel/schemas/#schema-url
// This schema_url applies to the data in the "resource" field. It does not apply
// to the data in the "scope_metrics" field which have their own schema_url field.
SchemaUrl string `protobuf:"bytes,3,opt,name=schema_url,json=schemaUrl,proto3" json:"schema_url,omitempty"`
}
func (x *ResourceMetrics) Reset() {
*x = ResourceMetrics{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ResourceMetrics) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ResourceMetrics) ProtoMessage() {}
func (x *ResourceMetrics) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[1]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ResourceMetrics.ProtoReflect.Descriptor instead.
func (*ResourceMetrics) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{1}
}
func (x *ResourceMetrics) GetResource() *v1.Resource {
if x != nil {
return x.Resource
}
return nil
}
func (x *ResourceMetrics) GetScopeMetrics() []*ScopeMetrics {
if x != nil {
return x.ScopeMetrics
}
return nil
}
func (x *ResourceMetrics) GetSchemaUrl() string {
if x != nil {
return x.SchemaUrl
}
return ""
}
// A collection of Metrics produced by an Scope.
type ScopeMetrics struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The instrumentation scope information for the metrics in this message.
// Semantically when InstrumentationScope isn't set, it is equivalent with
// an empty instrumentation scope name (unknown).
Scope *v11.InstrumentationScope `protobuf:"bytes,1,opt,name=scope,proto3" json:"scope,omitempty"`
// A list of metrics that originate from an instrumentation library.
Metrics []*Metric `protobuf:"bytes,2,rep,name=metrics,proto3" json:"metrics,omitempty"`
// The Schema URL, if known. This is the identifier of the Schema that the metric data
// is recorded in. To learn more about Schema URL see
// https://opentelemetry.io/docs/specs/otel/schemas/#schema-url
// This schema_url applies to all metrics in the "metrics" field.
SchemaUrl string `protobuf:"bytes,3,opt,name=schema_url,json=schemaUrl,proto3" json:"schema_url,omitempty"`
}
func (x *ScopeMetrics) Reset() {
*x = ScopeMetrics{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ScopeMetrics) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ScopeMetrics) ProtoMessage() {}
func (x *ScopeMetrics) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[2]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ScopeMetrics.ProtoReflect.Descriptor instead.
func (*ScopeMetrics) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{2}
}
func (x *ScopeMetrics) GetScope() *v11.InstrumentationScope {
if x != nil {
return x.Scope
}
return nil
}
func (x *ScopeMetrics) GetMetrics() []*Metric {
if x != nil {
return x.Metrics
}
return nil
}
func (x *ScopeMetrics) GetSchemaUrl() string {
if x != nil {
return x.SchemaUrl
}
return ""
}
// Defines a Metric which has one or more timeseries. The following is a
// brief summary of the Metric data model. For more details, see:
//
// https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/metrics/data-model.md
//
//
// The data model and relation between entities is shown in the
// diagram below. Here, "DataPoint" is the term used to refer to any
// one of the specific data point value types, and "points" is the term used
// to refer to any one of the lists of points contained in the Metric.
//
// - Metric is composed of a metadata and data.
// - Metadata part contains a name, description, unit.
// - Data is one of the possible types (Sum, Gauge, Histogram, Summary).
// - DataPoint contains timestamps, attributes, and one of the possible value type
// fields.
//
// Metric
// +------------+
// |name |
// |description |
// |unit | +------------------------------------+
// |data |---> |Gauge, Sum, Histogram, Summary, ... |
// +------------+ +------------------------------------+
//
// Data [One of Gauge, Sum, Histogram, Summary, ...]
// +-----------+
// |... | // Metadata about the Data.
// |points |--+
// +-----------+ |
// | +---------------------------+
// | |DataPoint 1 |
// v |+------+------+ +------+ |
// +-----+ ||label |label |...|label | |
// | 1 |-->||value1|value2|...|valueN| |
// +-----+ |+------+------+ +------+ |
// | . | |+-----+ |
// | . | ||value| |
// | . | |+-----+ |
// | . | +---------------------------+
// | . | .
// | . | .
// | . | .
// | . | +---------------------------+
// | . | |DataPoint M |
// +-----+ |+------+------+ +------+ |
// | M |-->||label |label |...|label | |
// +-----+ ||value1|value2|...|valueN| |
// |+------+------+ +------+ |
// |+-----+ |
// ||value| |
// |+-----+ |
// +---------------------------+
//
// Each distinct type of DataPoint represents the output of a specific
// aggregation function, the result of applying the DataPoint's
// associated function of to one or more measurements.
//
// All DataPoint types have three common fields:
// - Attributes includes key-value pairs associated with the data point
// - TimeUnixNano is required, set to the end time of the aggregation
// - StartTimeUnixNano is optional, but strongly encouraged for DataPoints
// having an AggregationTemporality field, as discussed below.
//
// Both TimeUnixNano and StartTimeUnixNano values are expressed as
// UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January 1970.
//
// # TimeUnixNano
//
// This field is required, having consistent interpretation across
// DataPoint types. TimeUnixNano is the moment corresponding to when
// the data point's aggregate value was captured.
//
// Data points with the 0 value for TimeUnixNano SHOULD be rejected
// by consumers.
//
// # StartTimeUnixNano
//
// StartTimeUnixNano in general allows detecting when a sequence of
// observations is unbroken. This field indicates to consumers the
// start time for points with cumulative and delta
// AggregationTemporality, and it should be included whenever possible
// to support correct rate calculation. Although it may be omitted
// when the start time is truly unknown, setting StartTimeUnixNano is
// strongly encouraged.
type Metric struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// name of the metric.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// description of the metric, which can be used in documentation.
Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
// unit in which the metric value is reported. Follows the format
// described by http://unitsofmeasure.org/ucum.html.
Unit string `protobuf:"bytes,3,opt,name=unit,proto3" json:"unit,omitempty"`
// Data determines the aggregation type (if any) of the metric, what is the
// reported value type for the data points, as well as the relatationship to
// the time interval over which they are reported.
//
// Types that are assignable to Data:
// *Metric_Gauge
// *Metric_Sum
// *Metric_Histogram
// *Metric_ExponentialHistogram
// *Metric_Summary
Data isMetric_Data `protobuf_oneof:"data"`
// Additional metadata attributes that describe the metric. [Optional].
// Attributes are non-identifying.
// Consumers SHOULD NOT need to be aware of these attributes.
// These attributes MAY be used to encode information allowing
// for lossless roundtrip translation to / from another data model.
// Attribute keys MUST be unique (it is not allowed to have more than one
// attribute with the same key).
Metadata []*v11.KeyValue `protobuf:"bytes,12,rep,name=metadata,proto3" json:"metadata,omitempty"`
}
func (x *Metric) Reset() {
*x = Metric{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Metric) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Metric) ProtoMessage() {}
func (x *Metric) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[3]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use Metric.ProtoReflect.Descriptor instead.
func (*Metric) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{3}
}
func (x *Metric) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *Metric) GetDescription() string {
if x != nil {
return x.Description
}
return ""
}
func (x *Metric) GetUnit() string {
if x != nil {
return x.Unit
}
return ""
}
func (m *Metric) GetData() isMetric_Data {
if m != nil {
return m.Data
}
return nil
}
func (x *Metric) GetGauge() *Gauge {
if x, ok := x.GetData().(*Metric_Gauge); ok {
return x.Gauge
}
return nil
}
func (x *Metric) GetSum() *Sum {
if x, ok := x.GetData().(*Metric_Sum); ok {
return x.Sum
}
return nil
}
func (x *Metric) GetHistogram() *Histogram {
if x, ok := x.GetData().(*Metric_Histogram); ok {
return x.Histogram
}
return nil
}
func (x *Metric) GetExponentialHistogram() *ExponentialHistogram {
if x, ok := x.GetData().(*Metric_ExponentialHistogram); ok {
return x.ExponentialHistogram
}
return nil
}
func (x *Metric) GetSummary() *Summary {
if x, ok := x.GetData().(*Metric_Summary); ok {
return x.Summary
}
return nil
}
func (x *Metric) GetMetadata() []*v11.KeyValue {
if x != nil {
return x.Metadata
}
return nil
}
type isMetric_Data interface {
isMetric_Data()
}
type Metric_Gauge struct {
Gauge *Gauge `protobuf:"bytes,5,opt,name=gauge,proto3,oneof"`
}
type Metric_Sum struct {
Sum *Sum `protobuf:"bytes,7,opt,name=sum,proto3,oneof"`
}
type Metric_Histogram struct {
Histogram *Histogram `protobuf:"bytes,9,opt,name=histogram,proto3,oneof"`
}
type Metric_ExponentialHistogram struct {
ExponentialHistogram *ExponentialHistogram `protobuf:"bytes,10,opt,name=exponential_histogram,json=exponentialHistogram,proto3,oneof"`
}
type Metric_Summary struct {
Summary *Summary `protobuf:"bytes,11,opt,name=summary,proto3,oneof"`
}
func (*Metric_Gauge) isMetric_Data() {}
func (*Metric_Sum) isMetric_Data() {}
func (*Metric_Histogram) isMetric_Data() {}
func (*Metric_ExponentialHistogram) isMetric_Data() {}
func (*Metric_Summary) isMetric_Data() {}
// Gauge represents the type of a scalar metric that always exports the
// "current value" for every data point. It should be used for an "unknown"
// aggregation.
//
// A Gauge does not support different aggregation temporalities. Given the
// aggregation is unknown, points cannot be combined using the same
// aggregation, regardless of aggregation temporalities. Therefore,
// AggregationTemporality is not included. Consequently, this also means
// "StartTimeUnixNano" is ignored for all data points.
type Gauge struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
DataPoints []*NumberDataPoint `protobuf:"bytes,1,rep,name=data_points,json=dataPoints,proto3" json:"data_points,omitempty"`
}
func (x *Gauge) Reset() {
*x = Gauge{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[4]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Gauge) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Gauge) ProtoMessage() {}
func (x *Gauge) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[4]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use Gauge.ProtoReflect.Descriptor instead.
func (*Gauge) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{4}
}
func (x *Gauge) GetDataPoints() []*NumberDataPoint {
if x != nil {
return x.DataPoints
}
return nil
}
// Sum represents the type of a scalar metric that is calculated as a sum of all
// reported measurements over a time interval.
type Sum struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
DataPoints []*NumberDataPoint `protobuf:"bytes,1,rep,name=data_points,json=dataPoints,proto3" json:"data_points,omitempty"`
// aggregation_temporality describes if the aggregator reports delta changes
// since last report time, or cumulative changes since a fixed start time.
AggregationTemporality AggregationTemporality `protobuf:"varint,2,opt,name=aggregation_temporality,json=aggregationTemporality,proto3,enum=opentelemetry.proto.metrics.v1.AggregationTemporality" json:"aggregation_temporality,omitempty"`
// If "true" means that the sum is monotonic.
IsMonotonic bool `protobuf:"varint,3,opt,name=is_monotonic,json=isMonotonic,proto3" json:"is_monotonic,omitempty"`
}
func (x *Sum) Reset() {
*x = Sum{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[5]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Sum) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Sum) ProtoMessage() {}
func (x *Sum) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[5]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use Sum.ProtoReflect.Descriptor instead.
func (*Sum) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{5}
}
func (x *Sum) GetDataPoints() []*NumberDataPoint {
if x != nil {
return x.DataPoints
}
return nil
}
func (x *Sum) GetAggregationTemporality() AggregationTemporality {
if x != nil {
return x.AggregationTemporality
}
return AggregationTemporality_AGGREGATION_TEMPORALITY_UNSPECIFIED
}
func (x *Sum) GetIsMonotonic() bool {
if x != nil {
return x.IsMonotonic
}
return false
}
// Histogram represents the type of a metric that is calculated by aggregating
// as a Histogram of all reported measurements over a time interval.
type Histogram struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
DataPoints []*HistogramDataPoint `protobuf:"bytes,1,rep,name=data_points,json=dataPoints,proto3" json:"data_points,omitempty"`
// aggregation_temporality describes if the aggregator reports delta changes
// since last report time, or cumulative changes since a fixed start time.
AggregationTemporality AggregationTemporality `protobuf:"varint,2,opt,name=aggregation_temporality,json=aggregationTemporality,proto3,enum=opentelemetry.proto.metrics.v1.AggregationTemporality" json:"aggregation_temporality,omitempty"`
}
func (x *Histogram) Reset() {
*x = Histogram{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[6]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Histogram) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Histogram) ProtoMessage() {}
func (x *Histogram) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[6]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use Histogram.ProtoReflect.Descriptor instead.
func (*Histogram) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{6}
}
func (x *Histogram) GetDataPoints() []*HistogramDataPoint {
if x != nil {
return x.DataPoints
}
return nil
}
func (x *Histogram) GetAggregationTemporality() AggregationTemporality {
if x != nil {
return x.AggregationTemporality
}
return AggregationTemporality_AGGREGATION_TEMPORALITY_UNSPECIFIED
}
// ExponentialHistogram represents the type of a metric that is calculated by aggregating
// as a ExponentialHistogram of all reported double measurements over a time interval.
type ExponentialHistogram struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
DataPoints []*ExponentialHistogramDataPoint `protobuf:"bytes,1,rep,name=data_points,json=dataPoints,proto3" json:"data_points,omitempty"`
// aggregation_temporality describes if the aggregator reports delta changes
// since last report time, or cumulative changes since a fixed start time.
AggregationTemporality AggregationTemporality `protobuf:"varint,2,opt,name=aggregation_temporality,json=aggregationTemporality,proto3,enum=opentelemetry.proto.metrics.v1.AggregationTemporality" json:"aggregation_temporality,omitempty"`
}
func (x *ExponentialHistogram) Reset() {
*x = ExponentialHistogram{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[7]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExponentialHistogram) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExponentialHistogram) ProtoMessage() {}
func (x *ExponentialHistogram) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[7]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ExponentialHistogram.ProtoReflect.Descriptor instead.
func (*ExponentialHistogram) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{7}
}
func (x *ExponentialHistogram) GetDataPoints() []*ExponentialHistogramDataPoint {
if x != nil {
return x.DataPoints
}
return nil
}
func (x *ExponentialHistogram) GetAggregationTemporality() AggregationTemporality {
if x != nil {
return x.AggregationTemporality
}
return AggregationTemporality_AGGREGATION_TEMPORALITY_UNSPECIFIED
}
// Summary metric data are used to convey quantile summaries,
// a Prometheus (see: https://prometheus.io/docs/concepts/metric_types/#summary)
// and OpenMetrics (see: https://github.com/OpenObservability/OpenMetrics/blob/4dbf6075567ab43296eed941037c12951faafb92/protos/prometheus.proto#L45)
// data type. These data points cannot always be merged in a meaningful way.
// While they can be useful in some applications, histogram data points are
// recommended for new applications.
type Summary struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
DataPoints []*SummaryDataPoint `protobuf:"bytes,1,rep,name=data_points,json=dataPoints,proto3" json:"data_points,omitempty"`
}
func (x *Summary) Reset() {
*x = Summary{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[8]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Summary) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Summary) ProtoMessage() {}
func (x *Summary) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[8]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use Summary.ProtoReflect.Descriptor instead.
func (*Summary) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{8}
}
func (x *Summary) GetDataPoints() []*SummaryDataPoint {
if x != nil {
return x.DataPoints
}
return nil
}
// NumberDataPoint is a single data point in a timeseries that describes the
// time-varying scalar value of a metric.
type NumberDataPoint struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The set of key/value pairs that uniquely identify the timeseries from
// where this point belongs. The list may be empty (may contain 0 elements).
// Attribute keys MUST be unique (it is not allowed to have more than one
// attribute with the same key).
Attributes []*v11.KeyValue `protobuf:"bytes,7,rep,name=attributes,proto3" json:"attributes,omitempty"`
// StartTimeUnixNano is optional but strongly encouraged, see the
// the detailed comments above Metric.
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
StartTimeUnixNano uint64 `protobuf:"fixed64,2,opt,name=start_time_unix_nano,json=startTimeUnixNano,proto3" json:"start_time_unix_nano,omitempty"`
// TimeUnixNano is required, see the detailed comments above Metric.
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
TimeUnixNano uint64 `protobuf:"fixed64,3,opt,name=time_unix_nano,json=timeUnixNano,proto3" json:"time_unix_nano,omitempty"`
// The value itself. A point is considered invalid when one of the recognized
// value fields is not present inside this oneof.
//
// Types that are assignable to Value:
// *NumberDataPoint_AsDouble
// *NumberDataPoint_AsInt
Value isNumberDataPoint_Value `protobuf_oneof:"value"`
// (Optional) List of exemplars collected from
// measurements that were used to form the data point
Exemplars []*Exemplar `protobuf:"bytes,5,rep,name=exemplars,proto3" json:"exemplars,omitempty"`
// Flags that apply to this specific data point. See DataPointFlags
// for the available flags and their meaning.
Flags uint32 `protobuf:"varint,8,opt,name=flags,proto3" json:"flags,omitempty"`
}
func (x *NumberDataPoint) Reset() {
*x = NumberDataPoint{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[9]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NumberDataPoint) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NumberDataPoint) ProtoMessage() {}
func (x *NumberDataPoint) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[9]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use NumberDataPoint.ProtoReflect.Descriptor instead.
func (*NumberDataPoint) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{9}
}
func (x *NumberDataPoint) GetAttributes() []*v11.KeyValue {
if x != nil {
return x.Attributes
}
return nil
}
func (x *NumberDataPoint) GetStartTimeUnixNano() uint64 {
if x != nil {
return x.StartTimeUnixNano
}
return 0
}
func (x *NumberDataPoint) GetTimeUnixNano() uint64 {
if x != nil {
return x.TimeUnixNano
}
return 0
}
func (m *NumberDataPoint) GetValue() isNumberDataPoint_Value {
if m != nil {
return m.Value
}
return nil
}
func (x *NumberDataPoint) GetAsDouble() float64 {
if x, ok := x.GetValue().(*NumberDataPoint_AsDouble); ok {
return x.AsDouble
}
return 0
}
func (x *NumberDataPoint) GetAsInt() int64 {
if x, ok := x.GetValue().(*NumberDataPoint_AsInt); ok {
return x.AsInt
}
return 0
}
func (x *NumberDataPoint) GetExemplars() []*Exemplar {
if x != nil {
return x.Exemplars
}
return nil
}
func (x *NumberDataPoint) GetFlags() uint32 {
if x != nil {
return x.Flags
}
return 0
}
type isNumberDataPoint_Value interface {
isNumberDataPoint_Value()
}
type NumberDataPoint_AsDouble struct {
AsDouble float64 `protobuf:"fixed64,4,opt,name=as_double,json=asDouble,proto3,oneof"`
}
type NumberDataPoint_AsInt struct {
AsInt int64 `protobuf:"fixed64,6,opt,name=as_int,json=asInt,proto3,oneof"`
}
func (*NumberDataPoint_AsDouble) isNumberDataPoint_Value() {}
func (*NumberDataPoint_AsInt) isNumberDataPoint_Value() {}
// HistogramDataPoint is a single data point in a timeseries that describes the
// time-varying values of a Histogram. A Histogram contains summary statistics
// for a population of values, it may optionally contain the distribution of
// those values across a set of buckets.
//
// If the histogram contains the distribution of values, then both
// "explicit_bounds" and "bucket counts" fields must be defined.
// If the histogram does not contain the distribution of values, then both
// "explicit_bounds" and "bucket_counts" must be omitted and only "count" and
// "sum" are known.
type HistogramDataPoint struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The set of key/value pairs that uniquely identify the timeseries from
// where this point belongs. The list may be empty (may contain 0 elements).
// Attribute keys MUST be unique (it is not allowed to have more than one
// attribute with the same key).
Attributes []*v11.KeyValue `protobuf:"bytes,9,rep,name=attributes,proto3" json:"attributes,omitempty"`
// StartTimeUnixNano is optional but strongly encouraged, see the
// the detailed comments above Metric.
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
StartTimeUnixNano uint64 `protobuf:"fixed64,2,opt,name=start_time_unix_nano,json=startTimeUnixNano,proto3" json:"start_time_unix_nano,omitempty"`
// TimeUnixNano is required, see the detailed comments above Metric.
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
TimeUnixNano uint64 `protobuf:"fixed64,3,opt,name=time_unix_nano,json=timeUnixNano,proto3" json:"time_unix_nano,omitempty"`
// count is the number of values in the population. Must be non-negative. This
// value must be equal to the sum of the "count" fields in buckets if a
// histogram is provided.
Count uint64 `protobuf:"fixed64,4,opt,name=count,proto3" json:"count,omitempty"`
// sum of the values in the population. If count is zero then this field
// must be zero.
//
// Note: Sum should only be filled out when measuring non-negative discrete
// events, and is assumed to be monotonic over the values of these events.
// Negative events *can* be recorded, but sum should not be filled out when
// doing so. This is specifically to enforce compatibility w/ OpenMetrics,
// see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#histogram
Sum *float64 `protobuf:"fixed64,5,opt,name=sum,proto3,oneof" json:"sum,omitempty"`
// bucket_counts is an optional field contains the count values of histogram
// for each bucket.
//
// The sum of the bucket_counts must equal the value in the count field.
//
// The number of elements in bucket_counts array must be by one greater than
// the number of elements in explicit_bounds array.
BucketCounts []uint64 `protobuf:"fixed64,6,rep,packed,name=bucket_counts,json=bucketCounts,proto3" json:"bucket_counts,omitempty"`
// explicit_bounds specifies buckets with explicitly defined bounds for values.
//
// The boundaries for bucket at index i are:
//
// (-infinity, explicit_bounds[i]] for i == 0
// (explicit_bounds[i-1], explicit_bounds[i]] for 0 < i < size(explicit_bounds)
// (explicit_bounds[i-1], +infinity) for i == size(explicit_bounds)
//
// The values in the explicit_bounds array must be strictly increasing.
//
// Histogram buckets are inclusive of their upper boundary, except the last
// bucket where the boundary is at infinity. This format is intentionally
// compatible with the OpenMetrics histogram definition.
ExplicitBounds []float64 `protobuf:"fixed64,7,rep,packed,name=explicit_bounds,json=explicitBounds,proto3" json:"explicit_bounds,omitempty"`
// (Optional) List of exemplars collected from
// measurements that were used to form the data point
Exemplars []*Exemplar `protobuf:"bytes,8,rep,name=exemplars,proto3" json:"exemplars,omitempty"`
// Flags that apply to this specific data point. See DataPointFlags
// for the available flags and their meaning.
Flags uint32 `protobuf:"varint,10,opt,name=flags,proto3" json:"flags,omitempty"`
// min is the minimum value over (start_time, end_time].
Min *float64 `protobuf:"fixed64,11,opt,name=min,proto3,oneof" json:"min,omitempty"`
// max is the maximum value over (start_time, end_time].
Max *float64 `protobuf:"fixed64,12,opt,name=max,proto3,oneof" json:"max,omitempty"`
}
func (x *HistogramDataPoint) Reset() {
*x = HistogramDataPoint{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[10]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *HistogramDataPoint) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*HistogramDataPoint) ProtoMessage() {}
func (x *HistogramDataPoint) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[10]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use HistogramDataPoint.ProtoReflect.Descriptor instead.
func (*HistogramDataPoint) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{10}
}
func (x *HistogramDataPoint) GetAttributes() []*v11.KeyValue {
if x != nil {
return x.Attributes
}
return nil
}
func (x *HistogramDataPoint) GetStartTimeUnixNano() uint64 {
if x != nil {
return x.StartTimeUnixNano
}
return 0
}
func (x *HistogramDataPoint) GetTimeUnixNano() uint64 {
if x != nil {
return x.TimeUnixNano
}
return 0
}
func (x *HistogramDataPoint) GetCount() uint64 {
if x != nil {
return x.Count
}
return 0
}
func (x *HistogramDataPoint) GetSum() float64 {
if x != nil && x.Sum != nil {
return *x.Sum
}
return 0
}
func (x *HistogramDataPoint) GetBucketCounts() []uint64 {
if x != nil {
return x.BucketCounts
}
return nil
}
func (x *HistogramDataPoint) GetExplicitBounds() []float64 {
if x != nil {
return x.ExplicitBounds
}
return nil
}
func (x *HistogramDataPoint) GetExemplars() []*Exemplar {
if x != nil {
return x.Exemplars
}
return nil
}
func (x *HistogramDataPoint) GetFlags() uint32 {
if x != nil {
return x.Flags
}
return 0
}
func (x *HistogramDataPoint) GetMin() float64 {
if x != nil && x.Min != nil {
return *x.Min
}
return 0
}
func (x *HistogramDataPoint) GetMax() float64 {
if x != nil && x.Max != nil {
return *x.Max
}
return 0
}
// ExponentialHistogramDataPoint is a single data point in a timeseries that describes the
// time-varying values of a ExponentialHistogram of double values. A ExponentialHistogram contains
// summary statistics for a population of values, it may optionally contain the
// distribution of those values across a set of buckets.
//
type ExponentialHistogramDataPoint struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The set of key/value pairs that uniquely identify the timeseries from
// where this point belongs. The list may be empty (may contain 0 elements).
// Attribute keys MUST be unique (it is not allowed to have more than one
// attribute with the same key).
Attributes []*v11.KeyValue `protobuf:"bytes,1,rep,name=attributes,proto3" json:"attributes,omitempty"`
// StartTimeUnixNano is optional but strongly encouraged, see the
// the detailed comments above Metric.
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
StartTimeUnixNano uint64 `protobuf:"fixed64,2,opt,name=start_time_unix_nano,json=startTimeUnixNano,proto3" json:"start_time_unix_nano,omitempty"`
// TimeUnixNano is required, see the detailed comments above Metric.
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
TimeUnixNano uint64 `protobuf:"fixed64,3,opt,name=time_unix_nano,json=timeUnixNano,proto3" json:"time_unix_nano,omitempty"`
// count is the number of values in the population. Must be
// non-negative. This value must be equal to the sum of the "bucket_counts"
// values in the positive and negative Buckets plus the "zero_count" field.
Count uint64 `protobuf:"fixed64,4,opt,name=count,proto3" json:"count,omitempty"`
// sum of the values in the population. If count is zero then this field
// must be zero.
//
// Note: Sum should only be filled out when measuring non-negative discrete
// events, and is assumed to be monotonic over the values of these events.
// Negative events *can* be recorded, but sum should not be filled out when
// doing so. This is specifically to enforce compatibility w/ OpenMetrics,
// see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#histogram
Sum *float64 `protobuf:"fixed64,5,opt,name=sum,proto3,oneof" json:"sum,omitempty"`
// scale describes the resolution of the histogram. Boundaries are
// located at powers of the base, where:
//
// base = (2^(2^-scale))
//
// The histogram bucket identified by `index`, a signed integer,
// contains values that are greater than (base^index) and
// less than or equal to (base^(index+1)).
//
// The positive and negative ranges of the histogram are expressed
// separately. Negative values are mapped by their absolute value
// into the negative range using the same scale as the positive range.
//
// scale is not restricted by the protocol, as the permissible
// values depend on the range of the data.
Scale int32 `protobuf:"zigzag32,6,opt,name=scale,proto3" json:"scale,omitempty"`
// zero_count is the count of values that are either exactly zero or
// within the region considered zero by the instrumentation at the
// tolerated degree of precision. This bucket stores values that
// cannot be expressed using the standard exponential formula as
// well as values that have been rounded to zero.
//
// Implementations MAY consider the zero bucket to have probability
// mass equal to (zero_count / count).
ZeroCount uint64 `protobuf:"fixed64,7,opt,name=zero_count,json=zeroCount,proto3" json:"zero_count,omitempty"`
// positive carries the positive range of exponential bucket counts.
Positive *ExponentialHistogramDataPoint_Buckets `protobuf:"bytes,8,opt,name=positive,proto3" json:"positive,omitempty"`
// negative carries the negative range of exponential bucket counts.
Negative *ExponentialHistogramDataPoint_Buckets `protobuf:"bytes,9,opt,name=negative,proto3" json:"negative,omitempty"`
// Flags that apply to this specific data point. See DataPointFlags
// for the available flags and their meaning.
Flags uint32 `protobuf:"varint,10,opt,name=flags,proto3" json:"flags,omitempty"`
// (Optional) List of exemplars collected from
// measurements that were used to form the data point
Exemplars []*Exemplar `protobuf:"bytes,11,rep,name=exemplars,proto3" json:"exemplars,omitempty"`
// min is the minimum value over (start_time, end_time].
Min *float64 `protobuf:"fixed64,12,opt,name=min,proto3,oneof" json:"min,omitempty"`
// max is the maximum value over (start_time, end_time].
Max *float64 `protobuf:"fixed64,13,opt,name=max,proto3,oneof" json:"max,omitempty"`
// ZeroThreshold may be optionally set to convey the width of the zero
// region. Where the zero region is defined as the closed interval
// [-ZeroThreshold, ZeroThreshold].
// When ZeroThreshold is 0, zero count bucket stores values that cannot be
// expressed using the standard exponential formula as well as values that
// have been rounded to zero.
ZeroThreshold float64 `protobuf:"fixed64,14,opt,name=zero_threshold,json=zeroThreshold,proto3" json:"zero_threshold,omitempty"`
}
func (x *ExponentialHistogramDataPoint) Reset() {
*x = ExponentialHistogramDataPoint{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[11]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExponentialHistogramDataPoint) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExponentialHistogramDataPoint) ProtoMessage() {}
func (x *ExponentialHistogramDataPoint) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[11]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ExponentialHistogramDataPoint.ProtoReflect.Descriptor instead.
func (*ExponentialHistogramDataPoint) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{11}
}
func (x *ExponentialHistogramDataPoint) GetAttributes() []*v11.KeyValue {
if x != nil {
return x.Attributes
}
return nil
}
func (x *ExponentialHistogramDataPoint) GetStartTimeUnixNano() uint64 {
if x != nil {
return x.StartTimeUnixNano
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetTimeUnixNano() uint64 {
if x != nil {
return x.TimeUnixNano
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetCount() uint64 {
if x != nil {
return x.Count
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetSum() float64 {
if x != nil && x.Sum != nil {
return *x.Sum
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetScale() int32 {
if x != nil {
return x.Scale
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetZeroCount() uint64 {
if x != nil {
return x.ZeroCount
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetPositive() *ExponentialHistogramDataPoint_Buckets {
if x != nil {
return x.Positive
}
return nil
}
func (x *ExponentialHistogramDataPoint) GetNegative() *ExponentialHistogramDataPoint_Buckets {
if x != nil {
return x.Negative
}
return nil
}
func (x *ExponentialHistogramDataPoint) GetFlags() uint32 {
if x != nil {
return x.Flags
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetExemplars() []*Exemplar {
if x != nil {
return x.Exemplars
}
return nil
}
func (x *ExponentialHistogramDataPoint) GetMin() float64 {
if x != nil && x.Min != nil {
return *x.Min
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetMax() float64 {
if x != nil && x.Max != nil {
return *x.Max
}
return 0
}
func (x *ExponentialHistogramDataPoint) GetZeroThreshold() float64 {
if x != nil {
return x.ZeroThreshold
}
return 0
}
// SummaryDataPoint is a single data point in a timeseries that describes the
// time-varying values of a Summary metric.
type SummaryDataPoint struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The set of key/value pairs that uniquely identify the timeseries from
// where this point belongs. The list may be empty (may contain 0 elements).
// Attribute keys MUST be unique (it is not allowed to have more than one
// attribute with the same key).
Attributes []*v11.KeyValue `protobuf:"bytes,7,rep,name=attributes,proto3" json:"attributes,omitempty"`
// StartTimeUnixNano is optional but strongly encouraged, see the
// the detailed comments above Metric.
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
StartTimeUnixNano uint64 `protobuf:"fixed64,2,opt,name=start_time_unix_nano,json=startTimeUnixNano,proto3" json:"start_time_unix_nano,omitempty"`
// TimeUnixNano is required, see the detailed comments above Metric.
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
TimeUnixNano uint64 `protobuf:"fixed64,3,opt,name=time_unix_nano,json=timeUnixNano,proto3" json:"time_unix_nano,omitempty"`
// count is the number of values in the population. Must be non-negative.
Count uint64 `protobuf:"fixed64,4,opt,name=count,proto3" json:"count,omitempty"`
// sum of the values in the population. If count is zero then this field
// must be zero.
//
// Note: Sum should only be filled out when measuring non-negative discrete
// events, and is assumed to be monotonic over the values of these events.
// Negative events *can* be recorded, but sum should not be filled out when
// doing so. This is specifically to enforce compatibility w/ OpenMetrics,
// see: https://github.com/OpenObservability/OpenMetrics/blob/main/specification/OpenMetrics.md#summary
Sum float64 `protobuf:"fixed64,5,opt,name=sum,proto3" json:"sum,omitempty"`
// (Optional) list of values at different quantiles of the distribution calculated
// from the current snapshot. The quantiles must be strictly increasing.
QuantileValues []*SummaryDataPoint_ValueAtQuantile `protobuf:"bytes,6,rep,name=quantile_values,json=quantileValues,proto3" json:"quantile_values,omitempty"`
// Flags that apply to this specific data point. See DataPointFlags
// for the available flags and their meaning.
Flags uint32 `protobuf:"varint,8,opt,name=flags,proto3" json:"flags,omitempty"`
}
func (x *SummaryDataPoint) Reset() {
*x = SummaryDataPoint{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[12]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SummaryDataPoint) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SummaryDataPoint) ProtoMessage() {}
func (x *SummaryDataPoint) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[12]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use SummaryDataPoint.ProtoReflect.Descriptor instead.
func (*SummaryDataPoint) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{12}
}
func (x *SummaryDataPoint) GetAttributes() []*v11.KeyValue {
if x != nil {
return x.Attributes
}
return nil
}
func (x *SummaryDataPoint) GetStartTimeUnixNano() uint64 {
if x != nil {
return x.StartTimeUnixNano
}
return 0
}
func (x *SummaryDataPoint) GetTimeUnixNano() uint64 {
if x != nil {
return x.TimeUnixNano
}
return 0
}
func (x *SummaryDataPoint) GetCount() uint64 {
if x != nil {
return x.Count
}
return 0
}
func (x *SummaryDataPoint) GetSum() float64 {
if x != nil {
return x.Sum
}
return 0
}
func (x *SummaryDataPoint) GetQuantileValues() []*SummaryDataPoint_ValueAtQuantile {
if x != nil {
return x.QuantileValues
}
return nil
}
func (x *SummaryDataPoint) GetFlags() uint32 {
if x != nil {
return x.Flags
}
return 0
}
// A representation of an exemplar, which is a sample input measurement.
// Exemplars also hold information about the environment when the measurement
// was recorded, for example the span and trace ID of the active span when the
// exemplar was recorded.
type Exemplar struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The set of key/value pairs that were filtered out by the aggregator, but
// recorded alongside the original measurement. Only key/value pairs that were
// filtered out by the aggregator should be included
FilteredAttributes []*v11.KeyValue `protobuf:"bytes,7,rep,name=filtered_attributes,json=filteredAttributes,proto3" json:"filtered_attributes,omitempty"`
// time_unix_nano is the exact time when this exemplar was recorded
//
// Value is UNIX Epoch time in nanoseconds since 00:00:00 UTC on 1 January
// 1970.
TimeUnixNano uint64 `protobuf:"fixed64,2,opt,name=time_unix_nano,json=timeUnixNano,proto3" json:"time_unix_nano,omitempty"`
// The value of the measurement that was recorded. An exemplar is
// considered invalid when one of the recognized value fields is not present
// inside this oneof.
//
// Types that are assignable to Value:
// *Exemplar_AsDouble
// *Exemplar_AsInt
Value isExemplar_Value `protobuf_oneof:"value"`
// (Optional) Span ID of the exemplar trace.
// span_id may be missing if the measurement is not recorded inside a trace
// or if the trace is not sampled.
SpanId []byte `protobuf:"bytes,4,opt,name=span_id,json=spanId,proto3" json:"span_id,omitempty"`
// (Optional) Trace ID of the exemplar trace.
// trace_id may be missing if the measurement is not recorded inside a trace
// or if the trace is not sampled.
TraceId []byte `protobuf:"bytes,5,opt,name=trace_id,json=traceId,proto3" json:"trace_id,omitempty"`
}
func (x *Exemplar) Reset() {
*x = Exemplar{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[13]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Exemplar) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Exemplar) ProtoMessage() {}
func (x *Exemplar) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[13]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use Exemplar.ProtoReflect.Descriptor instead.
func (*Exemplar) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{13}
}
func (x *Exemplar) GetFilteredAttributes() []*v11.KeyValue {
if x != nil {
return x.FilteredAttributes
}
return nil
}
func (x *Exemplar) GetTimeUnixNano() uint64 {
if x != nil {
return x.TimeUnixNano
}
return 0
}
func (m *Exemplar) GetValue() isExemplar_Value {
if m != nil {
return m.Value
}
return nil
}
func (x *Exemplar) GetAsDouble() float64 {
if x, ok := x.GetValue().(*Exemplar_AsDouble); ok {
return x.AsDouble
}
return 0
}
func (x *Exemplar) GetAsInt() int64 {
if x, ok := x.GetValue().(*Exemplar_AsInt); ok {
return x.AsInt
}
return 0
}
func (x *Exemplar) GetSpanId() []byte {
if x != nil {
return x.SpanId
}
return nil
}
func (x *Exemplar) GetTraceId() []byte {
if x != nil {
return x.TraceId
}
return nil
}
type isExemplar_Value interface {
isExemplar_Value()
}
type Exemplar_AsDouble struct {
AsDouble float64 `protobuf:"fixed64,3,opt,name=as_double,json=asDouble,proto3,oneof"`
}
type Exemplar_AsInt struct {
AsInt int64 `protobuf:"fixed64,6,opt,name=as_int,json=asInt,proto3,oneof"`
}
func (*Exemplar_AsDouble) isExemplar_Value() {}
func (*Exemplar_AsInt) isExemplar_Value() {}
// Buckets are a set of bucket counts, encoded in a contiguous array
// of counts.
type ExponentialHistogramDataPoint_Buckets struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Offset is the bucket index of the first entry in the bucket_counts array.
//
// Note: This uses a varint encoding as a simple form of compression.
Offset int32 `protobuf:"zigzag32,1,opt,name=offset,proto3" json:"offset,omitempty"`
// bucket_counts is an array of count values, where bucket_counts[i] carries
// the count of the bucket at index (offset+i). bucket_counts[i] is the count
// of values greater than base^(offset+i) and less than or equal to
// base^(offset+i+1).
//
// Note: By contrast, the explicit HistogramDataPoint uses
// fixed64. This field is expected to have many buckets,
// especially zeros, so uint64 has been selected to ensure
// varint encoding.
BucketCounts []uint64 `protobuf:"varint,2,rep,packed,name=bucket_counts,json=bucketCounts,proto3" json:"bucket_counts,omitempty"`
}
func (x *ExponentialHistogramDataPoint_Buckets) Reset() {
*x = ExponentialHistogramDataPoint_Buckets{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[14]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ExponentialHistogramDataPoint_Buckets) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ExponentialHistogramDataPoint_Buckets) ProtoMessage() {}
func (x *ExponentialHistogramDataPoint_Buckets) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[14]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use ExponentialHistogramDataPoint_Buckets.ProtoReflect.Descriptor instead.
func (*ExponentialHistogramDataPoint_Buckets) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{11, 0}
}
func (x *ExponentialHistogramDataPoint_Buckets) GetOffset() int32 {
if x != nil {
return x.Offset
}
return 0
}
func (x *ExponentialHistogramDataPoint_Buckets) GetBucketCounts() []uint64 {
if x != nil {
return x.BucketCounts
}
return nil
}
// Represents the value at a given quantile of a distribution.
//
// To record Min and Max values following conventions are used:
// - The 1.0 quantile is equivalent to the maximum value observed.
// - The 0.0 quantile is equivalent to the minimum value observed.
//
// See the following issue for more context:
// https://github.com/open-telemetry/opentelemetry-proto/issues/125
type SummaryDataPoint_ValueAtQuantile struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The quantile of a distribution. Must be in the interval
// [0.0, 1.0].
Quantile float64 `protobuf:"fixed64,1,opt,name=quantile,proto3" json:"quantile,omitempty"`
// The value at the given quantile of a distribution.
//
// Quantile values must NOT be negative.
Value float64 `protobuf:"fixed64,2,opt,name=value,proto3" json:"value,omitempty"`
}
func (x *SummaryDataPoint_ValueAtQuantile) Reset() {
*x = SummaryDataPoint_ValueAtQuantile{}
if protoimpl.UnsafeEnabled {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[15]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SummaryDataPoint_ValueAtQuantile) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SummaryDataPoint_ValueAtQuantile) ProtoMessage() {}
func (x *SummaryDataPoint_ValueAtQuantile) ProtoReflect() protoreflect.Message {
mi := &file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[15]
if protoimpl.UnsafeEnabled && x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use SummaryDataPoint_ValueAtQuantile.ProtoReflect.Descriptor instead.
func (*SummaryDataPoint_ValueAtQuantile) Descriptor() ([]byte, []int) {
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP(), []int{12, 0}
}
func (x *SummaryDataPoint_ValueAtQuantile) GetQuantile() float64 {
if x != nil {
return x.Quantile
}
return 0
}
func (x *SummaryDataPoint_ValueAtQuantile) GetValue() float64 {
if x != nil {
return x.Value
}
return 0
}
var File_opentelemetry_proto_metrics_v1_metrics_proto protoreflect.FileDescriptor
var file_opentelemetry_proto_metrics_v1_metrics_proto_rawDesc = []byte{
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}
var (
file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescOnce sync.Once
file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescData = file_opentelemetry_proto_metrics_v1_metrics_proto_rawDesc
)
func file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescGZIP() []byte {
file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescOnce.Do(func() {
file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescData = protoimpl.X.CompressGZIP(file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescData)
})
return file_opentelemetry_proto_metrics_v1_metrics_proto_rawDescData
}
var file_opentelemetry_proto_metrics_v1_metrics_proto_enumTypes = make([]protoimpl.EnumInfo, 2)
var file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes = make([]protoimpl.MessageInfo, 16)
var file_opentelemetry_proto_metrics_v1_metrics_proto_goTypes = []interface{}{
(AggregationTemporality)(0), // 0: opentelemetry.proto.metrics.v1.AggregationTemporality
(DataPointFlags)(0), // 1: opentelemetry.proto.metrics.v1.DataPointFlags
(*MetricsData)(nil), // 2: opentelemetry.proto.metrics.v1.MetricsData
(*ResourceMetrics)(nil), // 3: opentelemetry.proto.metrics.v1.ResourceMetrics
(*ScopeMetrics)(nil), // 4: opentelemetry.proto.metrics.v1.ScopeMetrics
(*Metric)(nil), // 5: opentelemetry.proto.metrics.v1.Metric
(*Gauge)(nil), // 6: opentelemetry.proto.metrics.v1.Gauge
(*Sum)(nil), // 7: opentelemetry.proto.metrics.v1.Sum
(*Histogram)(nil), // 8: opentelemetry.proto.metrics.v1.Histogram
(*ExponentialHistogram)(nil), // 9: opentelemetry.proto.metrics.v1.ExponentialHistogram
(*Summary)(nil), // 10: opentelemetry.proto.metrics.v1.Summary
(*NumberDataPoint)(nil), // 11: opentelemetry.proto.metrics.v1.NumberDataPoint
(*HistogramDataPoint)(nil), // 12: opentelemetry.proto.metrics.v1.HistogramDataPoint
(*ExponentialHistogramDataPoint)(nil), // 13: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint
(*SummaryDataPoint)(nil), // 14: opentelemetry.proto.metrics.v1.SummaryDataPoint
(*Exemplar)(nil), // 15: opentelemetry.proto.metrics.v1.Exemplar
(*ExponentialHistogramDataPoint_Buckets)(nil), // 16: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.Buckets
(*SummaryDataPoint_ValueAtQuantile)(nil), // 17: opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile
(*v1.Resource)(nil), // 18: opentelemetry.proto.resource.v1.Resource
(*v11.InstrumentationScope)(nil), // 19: opentelemetry.proto.common.v1.InstrumentationScope
(*v11.KeyValue)(nil), // 20: opentelemetry.proto.common.v1.KeyValue
}
var file_opentelemetry_proto_metrics_v1_metrics_proto_depIdxs = []int32{
3, // 0: opentelemetry.proto.metrics.v1.MetricsData.resource_metrics:type_name -> opentelemetry.proto.metrics.v1.ResourceMetrics
18, // 1: opentelemetry.proto.metrics.v1.ResourceMetrics.resource:type_name -> opentelemetry.proto.resource.v1.Resource
4, // 2: opentelemetry.proto.metrics.v1.ResourceMetrics.scope_metrics:type_name -> opentelemetry.proto.metrics.v1.ScopeMetrics
19, // 3: opentelemetry.proto.metrics.v1.ScopeMetrics.scope:type_name -> opentelemetry.proto.common.v1.InstrumentationScope
5, // 4: opentelemetry.proto.metrics.v1.ScopeMetrics.metrics:type_name -> opentelemetry.proto.metrics.v1.Metric
6, // 5: opentelemetry.proto.metrics.v1.Metric.gauge:type_name -> opentelemetry.proto.metrics.v1.Gauge
7, // 6: opentelemetry.proto.metrics.v1.Metric.sum:type_name -> opentelemetry.proto.metrics.v1.Sum
8, // 7: opentelemetry.proto.metrics.v1.Metric.histogram:type_name -> opentelemetry.proto.metrics.v1.Histogram
9, // 8: opentelemetry.proto.metrics.v1.Metric.exponential_histogram:type_name -> opentelemetry.proto.metrics.v1.ExponentialHistogram
10, // 9: opentelemetry.proto.metrics.v1.Metric.summary:type_name -> opentelemetry.proto.metrics.v1.Summary
20, // 10: opentelemetry.proto.metrics.v1.Metric.metadata:type_name -> opentelemetry.proto.common.v1.KeyValue
11, // 11: opentelemetry.proto.metrics.v1.Gauge.data_points:type_name -> opentelemetry.proto.metrics.v1.NumberDataPoint
11, // 12: opentelemetry.proto.metrics.v1.Sum.data_points:type_name -> opentelemetry.proto.metrics.v1.NumberDataPoint
0, // 13: opentelemetry.proto.metrics.v1.Sum.aggregation_temporality:type_name -> opentelemetry.proto.metrics.v1.AggregationTemporality
12, // 14: opentelemetry.proto.metrics.v1.Histogram.data_points:type_name -> opentelemetry.proto.metrics.v1.HistogramDataPoint
0, // 15: opentelemetry.proto.metrics.v1.Histogram.aggregation_temporality:type_name -> opentelemetry.proto.metrics.v1.AggregationTemporality
13, // 16: opentelemetry.proto.metrics.v1.ExponentialHistogram.data_points:type_name -> opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint
0, // 17: opentelemetry.proto.metrics.v1.ExponentialHistogram.aggregation_temporality:type_name -> opentelemetry.proto.metrics.v1.AggregationTemporality
14, // 18: opentelemetry.proto.metrics.v1.Summary.data_points:type_name -> opentelemetry.proto.metrics.v1.SummaryDataPoint
20, // 19: opentelemetry.proto.metrics.v1.NumberDataPoint.attributes:type_name -> opentelemetry.proto.common.v1.KeyValue
15, // 20: opentelemetry.proto.metrics.v1.NumberDataPoint.exemplars:type_name -> opentelemetry.proto.metrics.v1.Exemplar
20, // 21: opentelemetry.proto.metrics.v1.HistogramDataPoint.attributes:type_name -> opentelemetry.proto.common.v1.KeyValue
15, // 22: opentelemetry.proto.metrics.v1.HistogramDataPoint.exemplars:type_name -> opentelemetry.proto.metrics.v1.Exemplar
20, // 23: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.attributes:type_name -> opentelemetry.proto.common.v1.KeyValue
16, // 24: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.positive:type_name -> opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.Buckets
16, // 25: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.negative:type_name -> opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.Buckets
15, // 26: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.exemplars:type_name -> opentelemetry.proto.metrics.v1.Exemplar
20, // 27: opentelemetry.proto.metrics.v1.SummaryDataPoint.attributes:type_name -> opentelemetry.proto.common.v1.KeyValue
17, // 28: opentelemetry.proto.metrics.v1.SummaryDataPoint.quantile_values:type_name -> opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile
20, // 29: opentelemetry.proto.metrics.v1.Exemplar.filtered_attributes:type_name -> opentelemetry.proto.common.v1.KeyValue
30, // [30:30] is the sub-list for method output_type
30, // [30:30] is the sub-list for method input_type
30, // [30:30] is the sub-list for extension type_name
30, // [30:30] is the sub-list for extension extendee
0, // [0:30] is the sub-list for field type_name
}
func init() { file_opentelemetry_proto_metrics_v1_metrics_proto_init() }
func file_opentelemetry_proto_metrics_v1_metrics_proto_init() {
if File_opentelemetry_proto_metrics_v1_metrics_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*MetricsData); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ResourceMetrics); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ScopeMetrics); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Metric); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Gauge); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Sum); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Histogram); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ExponentialHistogram); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Summary); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NumberDataPoint); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*HistogramDataPoint); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ExponentialHistogramDataPoint); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SummaryDataPoint); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Exemplar); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ExponentialHistogramDataPoint_Buckets); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SummaryDataPoint_ValueAtQuantile); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[3].OneofWrappers = []interface{}{
(*Metric_Gauge)(nil),
(*Metric_Sum)(nil),
(*Metric_Histogram)(nil),
(*Metric_ExponentialHistogram)(nil),
(*Metric_Summary)(nil),
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[9].OneofWrappers = []interface{}{
(*NumberDataPoint_AsDouble)(nil),
(*NumberDataPoint_AsInt)(nil),
}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[10].OneofWrappers = []interface{}{}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[11].OneofWrappers = []interface{}{}
file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes[13].OneofWrappers = []interface{}{
(*Exemplar_AsDouble)(nil),
(*Exemplar_AsInt)(nil),
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_opentelemetry_proto_metrics_v1_metrics_proto_rawDesc,
NumEnums: 2,
NumMessages: 16,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_opentelemetry_proto_metrics_v1_metrics_proto_goTypes,
DependencyIndexes: file_opentelemetry_proto_metrics_v1_metrics_proto_depIdxs,
EnumInfos: file_opentelemetry_proto_metrics_v1_metrics_proto_enumTypes,
MessageInfos: file_opentelemetry_proto_metrics_v1_metrics_proto_msgTypes,
}.Build()
File_opentelemetry_proto_metrics_v1_metrics_proto = out.File
file_opentelemetry_proto_metrics_v1_metrics_proto_rawDesc = nil
file_opentelemetry_proto_metrics_v1_metrics_proto_goTypes = nil
file_opentelemetry_proto_metrics_v1_metrics_proto_depIdxs = nil
}