// 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"` // 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"` // 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, including its DNS name prefix. It must be unique. 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"` } 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 } 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() 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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 11, // 10: opentelemetry.proto.metrics.v1.Gauge.data_points:type_name -> opentelemetry.proto.metrics.v1.NumberDataPoint 11, // 11: opentelemetry.proto.metrics.v1.Sum.data_points:type_name -> opentelemetry.proto.metrics.v1.NumberDataPoint 0, // 12: opentelemetry.proto.metrics.v1.Sum.aggregation_temporality:type_name -> opentelemetry.proto.metrics.v1.AggregationTemporality 12, // 13: opentelemetry.proto.metrics.v1.Histogram.data_points:type_name -> opentelemetry.proto.metrics.v1.HistogramDataPoint 0, // 14: opentelemetry.proto.metrics.v1.Histogram.aggregation_temporality:type_name -> opentelemetry.proto.metrics.v1.AggregationTemporality 13, // 15: opentelemetry.proto.metrics.v1.ExponentialHistogram.data_points:type_name -> opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint 0, // 16: opentelemetry.proto.metrics.v1.ExponentialHistogram.aggregation_temporality:type_name -> opentelemetry.proto.metrics.v1.AggregationTemporality 14, // 17: opentelemetry.proto.metrics.v1.Summary.data_points:type_name -> opentelemetry.proto.metrics.v1.SummaryDataPoint 20, // 18: opentelemetry.proto.metrics.v1.NumberDataPoint.attributes:type_name -> opentelemetry.proto.common.v1.KeyValue 15, // 19: opentelemetry.proto.metrics.v1.NumberDataPoint.exemplars:type_name -> opentelemetry.proto.metrics.v1.Exemplar 20, // 20: opentelemetry.proto.metrics.v1.HistogramDataPoint.attributes:type_name -> opentelemetry.proto.common.v1.KeyValue 15, // 21: opentelemetry.proto.metrics.v1.HistogramDataPoint.exemplars:type_name -> opentelemetry.proto.metrics.v1.Exemplar 20, // 22: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.attributes:type_name -> opentelemetry.proto.common.v1.KeyValue 16, // 23: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.positive:type_name -> opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.Buckets 16, // 24: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.negative:type_name -> opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.Buckets 15, // 25: opentelemetry.proto.metrics.v1.ExponentialHistogramDataPoint.exemplars:type_name -> opentelemetry.proto.metrics.v1.Exemplar 20, // 26: opentelemetry.proto.metrics.v1.SummaryDataPoint.attributes:type_name -> opentelemetry.proto.common.v1.KeyValue 17, // 27: opentelemetry.proto.metrics.v1.SummaryDataPoint.quantile_values:type_name -> opentelemetry.proto.metrics.v1.SummaryDataPoint.ValueAtQuantile 20, // 28: opentelemetry.proto.metrics.v1.Exemplar.filtered_attributes:type_name -> opentelemetry.proto.common.v1.KeyValue 29, // [29:29] is the sub-list for method output_type 29, // [29:29] is the sub-list for method input_type 29, // [29:29] is the sub-list for extension type_name 29, // [29:29] is the sub-list for extension extendee 0, // [0:29] 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 }