pb

package
v1.93.15-cluster Latest Latest
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 Go to latest Published: Jun 7, 2024 License: Apache-2.0 Imports: 8 Imported by: 1

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Index

Constants

This section is empty.

Variables

View Source 
var (
	ErrInvalidLength        = fmt.Errorf("proto: negative length found during unmarshaling")
	ErrIntOverflow          = fmt.Errorf("proto: integer overflow")
	ErrUnexpectedEndOfGroup = fmt.Errorf("proto: unexpected end of group")
)
View Source 
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,
	}
)

Enum value maps for AggregationTemporality.

View Source 
var (
	DataPointFlags_name = map[int32]string{
		0: "FLAG_NONE",
		1: "FLAG_NO_RECORDED_VALUE",
	}
	DataPointFlags_value = map[string]int32{
		"FLAG_NONE":              0,
		"FLAG_NO_RECORDED_VALUE": 1,
	}
)

Enum value maps for DataPointFlags.

Functions

This section is empty.

Types

type AggregationTemporality 

type AggregationTemporality int32

AggregationTemporality defines how a metric aggregator reports aggregated values. It describes how those values relate to the time interval over which they are aggregated. 

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
)

func (AggregationTemporality) Enum 

func (x AggregationTemporality) Enum() *AggregationTemporality

type AnyValue 

type AnyValue struct {

	// The value is one of the listed fields. It is valid for all values to be unspecified
	// in which case this AnyValue is considered to be "empty".
	//
	// Types that are assignable to Value:
	//
	//	*AnyValue_StringValue
	//	*AnyValue_BoolValue
	//	*AnyValue_IntValue
	//	*AnyValue_DoubleValue
	//	*AnyValue_ArrayValue
	//	*AnyValue_KvlistValue
	//	*AnyValue_BytesValue
	Value isAnyValue_Value `protobuf_oneof:"value"`
	// contains filtered or unexported fields
}

AnyValue is used to represent any type of attribute value. AnyValue may contain a primitive value such as a string or integer or it may contain an arbitrary nested object containing arrays, key-value lists and primitives.

func (*AnyValue) FormatString 

func (x *AnyValue) FormatString() string

FormatString formats strings

func (*AnyValue) MarshalToSizedBufferVT 

func (m *AnyValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*AnyValue) MarshalToVT 

func (m *AnyValue) MarshalToVT(dAtA []byte) (int, error)

func (*AnyValue) MarshalVT 

func (m *AnyValue) MarshalVT() (dAtA []byte, err error)

func (*AnyValue) SizeVT 

func (m *AnyValue) SizeVT() (n int)

func (*AnyValue) UnmarshalVT 

func (m *AnyValue) UnmarshalVT(dAtA []byte) error

type AnyValue_ArrayValue 

type AnyValue_ArrayValue struct {
	ArrayValue *ArrayValue `protobuf:"bytes,5,opt,name=array_value,json=arrayValue,proto3,oneof"`
}

func (*AnyValue_ArrayValue) MarshalToSizedBufferVT 

func (m *AnyValue_ArrayValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*AnyValue_ArrayValue) MarshalToVT 

func (m *AnyValue_ArrayValue) MarshalToVT(dAtA []byte) (int, error)

func (*AnyValue_ArrayValue) SizeVT 

func (m *AnyValue_ArrayValue) SizeVT() (n int)

type AnyValue_BoolValue 

type AnyValue_BoolValue struct {
	BoolValue bool `protobuf:"varint,2,opt,name=bool_value,json=boolValue,proto3,oneof"`
}

func (*AnyValue_BoolValue) MarshalToSizedBufferVT 

func (m *AnyValue_BoolValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*AnyValue_BoolValue) MarshalToVT 

func (m *AnyValue_BoolValue) MarshalToVT(dAtA []byte) (int, error)

func (*AnyValue_BoolValue) SizeVT 

func (m *AnyValue_BoolValue) SizeVT() (n int)

type AnyValue_BytesValue 

type AnyValue_BytesValue struct {
	BytesValue []byte `protobuf:"bytes,7,opt,name=bytes_value,json=bytesValue,proto3,oneof"`
}

func (*AnyValue_BytesValue) MarshalToSizedBufferVT 

func (m *AnyValue_BytesValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*AnyValue_BytesValue) MarshalToVT 

func (m *AnyValue_BytesValue) MarshalToVT(dAtA []byte) (int, error)

func (*AnyValue_BytesValue) SizeVT 

func (m *AnyValue_BytesValue) SizeVT() (n int)

type AnyValue_DoubleValue 

type AnyValue_DoubleValue struct {
	DoubleValue float64 `protobuf:"fixed64,4,opt,name=double_value,json=doubleValue,proto3,oneof"`
}

func (*AnyValue_DoubleValue) MarshalToSizedBufferVT 

func (m *AnyValue_DoubleValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*AnyValue_DoubleValue) MarshalToVT 

func (m *AnyValue_DoubleValue) MarshalToVT(dAtA []byte) (int, error)

func (*AnyValue_DoubleValue) SizeVT 

func (m *AnyValue_DoubleValue) SizeVT() (n int)

type AnyValue_IntValue 

type AnyValue_IntValue struct {
	IntValue int64 `protobuf:"varint,3,opt,name=int_value,json=intValue,proto3,oneof"`
}

func (*AnyValue_IntValue) MarshalToSizedBufferVT 

func (m *AnyValue_IntValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*AnyValue_IntValue) MarshalToVT 

func (m *AnyValue_IntValue) MarshalToVT(dAtA []byte) (int, error)

func (*AnyValue_IntValue) SizeVT 

func (m *AnyValue_IntValue) SizeVT() (n int)

type AnyValue_KvlistValue 

type AnyValue_KvlistValue struct {
	KvlistValue *KeyValueList `protobuf:"bytes,6,opt,name=kvlist_value,json=kvlistValue,proto3,oneof"`
}

func (*AnyValue_KvlistValue) MarshalToSizedBufferVT 

func (m *AnyValue_KvlistValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*AnyValue_KvlistValue) MarshalToVT 

func (m *AnyValue_KvlistValue) MarshalToVT(dAtA []byte) (int, error)

func (*AnyValue_KvlistValue) SizeVT 

func (m *AnyValue_KvlistValue) SizeVT() (n int)

type AnyValue_StringValue 

type AnyValue_StringValue struct {
	StringValue string `protobuf:"bytes,1,opt,name=string_value,json=stringValue,proto3,oneof"`
}

func (*AnyValue_StringValue) MarshalToSizedBufferVT 

func (m *AnyValue_StringValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*AnyValue_StringValue) MarshalToVT 

func (m *AnyValue_StringValue) MarshalToVT(dAtA []byte) (int, error)

func (*AnyValue_StringValue) SizeVT 

func (m *AnyValue_StringValue) SizeVT() (n int)

type ArrayValue 

type ArrayValue struct {

	// Array of values. The array may be empty (contain 0 elements).
	Values []*AnyValue `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

ArrayValue is a list of AnyValue messages. We need ArrayValue as a message since oneof in AnyValue does not allow repeated fields.

func (*ArrayValue) MarshalToSizedBufferVT 

func (m *ArrayValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*ArrayValue) MarshalToVT 

func (m *ArrayValue) MarshalToVT(dAtA []byte) (int, error)

func (*ArrayValue) MarshalVT 

func (m *ArrayValue) MarshalVT() (dAtA []byte, err error)

func (*ArrayValue) SizeVT 

func (m *ArrayValue) SizeVT() (n int)

func (*ArrayValue) UnmarshalVT 

func (m *ArrayValue) UnmarshalVT(dAtA []byte) error

type DataPointFlags 

type DataPointFlags int32

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 & FLAG_NO_RECORDED_VALUE) == FLAG_NO_RECORDED_VALUE

const (
	DataPointFlags_FLAG_NONE 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_FLAG_NO_RECORDED_VALUE DataPointFlags = 1
)

func (DataPointFlags) Enum 

func (x DataPointFlags) Enum() *DataPointFlags

type Exemplar 

type Exemplar struct {

	// 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 []*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"`
	// contains filtered or unexported fields
}

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.

func (*Exemplar) MarshalToSizedBufferVT 

func (m *Exemplar) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Exemplar) MarshalToVT 

func (m *Exemplar) MarshalToVT(dAtA []byte) (int, error)

func (*Exemplar) MarshalVT 

func (m *Exemplar) MarshalVT() (dAtA []byte, err error)

func (*Exemplar) SizeVT 

func (m *Exemplar) SizeVT() (n int)

func (*Exemplar) UnmarshalVT 

func (m *Exemplar) UnmarshalVT(dAtA []byte) error

type Exemplar_AsDouble 

type Exemplar_AsDouble struct {
	AsDouble float64 `protobuf:"fixed64,3,opt,name=as_double,json=asDouble,proto3,oneof"`
}

func (*Exemplar_AsDouble) MarshalToSizedBufferVT 

func (m *Exemplar_AsDouble) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Exemplar_AsDouble) MarshalToVT 

func (m *Exemplar_AsDouble) MarshalToVT(dAtA []byte) (int, error)

func (*Exemplar_AsDouble) SizeVT 

func (m *Exemplar_AsDouble) SizeVT() (n int)

type Exemplar_AsInt 

type Exemplar_AsInt struct {
	AsInt int64 `protobuf:"fixed64,6,opt,name=as_int,json=asInt,proto3,oneof"`
}

func (*Exemplar_AsInt) MarshalToSizedBufferVT 

func (m *Exemplar_AsInt) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Exemplar_AsInt) MarshalToVT 

func (m *Exemplar_AsInt) MarshalToVT(dAtA []byte) (int, error)

func (*Exemplar_AsInt) SizeVT 

func (m *Exemplar_AsInt) SizeVT() (n int)

type ExponentialHistogram 

type ExponentialHistogram struct {
	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 `` /* 170-byte string literal not displayed */
	// contains filtered or unexported fields
}

ExponentialHistogram represents the type of a metric that is calculated by aggregating as a ExponentialHistogram of all reported double measurements over a time interval.

func (*ExponentialHistogram) MarshalToSizedBufferVT 

func (m *ExponentialHistogram) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*ExponentialHistogram) MarshalToVT 

func (m *ExponentialHistogram) MarshalToVT(dAtA []byte) (int, error)

func (*ExponentialHistogram) MarshalVT 

func (m *ExponentialHistogram) MarshalVT() (dAtA []byte, err error)

func (*ExponentialHistogram) SizeVT 

func (m *ExponentialHistogram) SizeVT() (n int)

func (*ExponentialHistogram) UnmarshalVT 

func (m *ExponentialHistogram) UnmarshalVT(dAtA []byte) error

type ExponentialHistogramDataPoint 

type ExponentialHistogramDataPoint struct {

	// 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 []*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"`
	// contains filtered or unexported fields
}

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.

func (*ExponentialHistogramDataPoint) MarshalToSizedBufferVT 

func (m *ExponentialHistogramDataPoint) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*ExponentialHistogramDataPoint) MarshalToVT 

func (m *ExponentialHistogramDataPoint) MarshalToVT(dAtA []byte) (int, error)

func (*ExponentialHistogramDataPoint) MarshalVT 

func (m *ExponentialHistogramDataPoint) MarshalVT() (dAtA []byte, err error)

func (*ExponentialHistogramDataPoint) SizeVT 

func (m *ExponentialHistogramDataPoint) SizeVT() (n int)

func (*ExponentialHistogramDataPoint) UnmarshalVT 

func (m *ExponentialHistogramDataPoint) UnmarshalVT(dAtA []byte) error

type ExponentialHistogramDataPoint_Buckets 

type ExponentialHistogramDataPoint_Buckets struct {

	// 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"`
	// Count is an array of counts, where count[i] carries the count
	// of the bucket at index (offset+i).  count[i] is the count of
	// values greater than base^(offset+i) and less or equal to than
	// 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"`
	// contains filtered or unexported fields
}

Buckets are a set of bucket counts, encoded in a contiguous array of counts.

func (*ExponentialHistogramDataPoint_Buckets) MarshalToSizedBufferVT 

func (m *ExponentialHistogramDataPoint_Buckets) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*ExponentialHistogramDataPoint_Buckets) MarshalToVT 

func (m *ExponentialHistogramDataPoint_Buckets) MarshalToVT(dAtA []byte) (int, error)

func (*ExponentialHistogramDataPoint_Buckets) MarshalVT 

func (m *ExponentialHistogramDataPoint_Buckets) MarshalVT() (dAtA []byte, err error)

func (*ExponentialHistogramDataPoint_Buckets) SizeVT 

func (m *ExponentialHistogramDataPoint_Buckets) SizeVT() (n int)

func (*ExponentialHistogramDataPoint_Buckets) UnmarshalVT 

func (m *ExponentialHistogramDataPoint_Buckets) UnmarshalVT(dAtA []byte) error

type ExportMetricsServiceRequest 

type ExportMetricsServiceRequest struct {

	// An array of ResourceMetrics.
	// For data coming from a single resource this array will typically contain one
	// element. Intermediary nodes (such as OpenTelemetry Collector) 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"`
	// contains filtered or unexported fields
}

func (*ExportMetricsServiceRequest) MarshalToSizedBufferVT 

func (m *ExportMetricsServiceRequest) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*ExportMetricsServiceRequest) MarshalToVT 

func (m *ExportMetricsServiceRequest) MarshalToVT(dAtA []byte) (int, error)

func (*ExportMetricsServiceRequest) MarshalVT 

func (m *ExportMetricsServiceRequest) MarshalVT() (dAtA []byte, err error)

func (*ExportMetricsServiceRequest) SizeVT 

func (m *ExportMetricsServiceRequest) SizeVT() (n int)

func (*ExportMetricsServiceRequest) UnmarshalVT 

func (m *ExportMetricsServiceRequest) UnmarshalVT(dAtA []byte) error

type Gauge 

type Gauge struct {
	DataPoints []*NumberDataPoint `protobuf:"bytes,1,rep,name=data_points,json=dataPoints,proto3" json:"data_points,omitempty"`
	// contains filtered or unexported fields
}

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.

func (*Gauge) MarshalToSizedBufferVT 

func (m *Gauge) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Gauge) MarshalToVT 

func (m *Gauge) MarshalToVT(dAtA []byte) (int, error)

func (*Gauge) MarshalVT 

func (m *Gauge) MarshalVT() (dAtA []byte, err error)

func (*Gauge) SizeVT 

func (m *Gauge) SizeVT() (n int)

func (*Gauge) UnmarshalVT 

func (m *Gauge) UnmarshalVT(dAtA []byte) error

type Histogram 

type Histogram struct {
	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 `` /* 170-byte string literal not displayed */
	// contains filtered or unexported fields
}

Histogram represents the type of a metric that is calculated by aggregating as a Histogram of all reported measurements over a time interval.

func (*Histogram) MarshalToSizedBufferVT 

func (m *Histogram) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Histogram) MarshalToVT 

func (m *Histogram) MarshalToVT(dAtA []byte) (int, error)

func (*Histogram) MarshalVT 

func (m *Histogram) MarshalVT() (dAtA []byte, err error)

func (*Histogram) SizeVT 

func (m *Histogram) SizeVT() (n int)

func (*Histogram) UnmarshalVT 

func (m *Histogram) UnmarshalVT(dAtA []byte) error

type HistogramDataPoint 

type HistogramDataPoint struct {

	// 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 []*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"`
	// contains filtered or unexported fields
}

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.

func (*HistogramDataPoint) MarshalToSizedBufferVT 

func (m *HistogramDataPoint) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*HistogramDataPoint) MarshalToVT 

func (m *HistogramDataPoint) MarshalToVT(dAtA []byte) (int, error)

func (*HistogramDataPoint) MarshalVT 

func (m *HistogramDataPoint) MarshalVT() (dAtA []byte, err error)

func (*HistogramDataPoint) SizeVT 

func (m *HistogramDataPoint) SizeVT() (n int)

func (*HistogramDataPoint) UnmarshalVT 

func (m *HistogramDataPoint) UnmarshalVT(dAtA []byte) error

type KeyValue 

type KeyValue struct {
	Key   string    `protobuf:"bytes,1,opt,name=key,proto3" json:"key,omitempty"`
	Value *AnyValue `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

KeyValue is a key-value pair that is used to store Span attributes, Link attributes, etc.

func (*KeyValue) MarshalToSizedBufferVT 

func (m *KeyValue) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*KeyValue) MarshalToVT 

func (m *KeyValue) MarshalToVT(dAtA []byte) (int, error)

func (*KeyValue) MarshalVT 

func (m *KeyValue) MarshalVT() (dAtA []byte, err error)

func (*KeyValue) SizeVT 

func (m *KeyValue) SizeVT() (n int)

func (*KeyValue) UnmarshalVT 

func (m *KeyValue) UnmarshalVT(dAtA []byte) error

type KeyValueList 

type KeyValueList struct {

	// A collection of key/value pairs of key-value pairs. The list may be empty (may
	// contain 0 elements).
	// The keys MUST be unique (it is not allowed to have more than one
	// value with the same key).
	Values []*KeyValue `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

KeyValueList is a list of KeyValue messages. We need KeyValueList as a message since `oneof` in AnyValue does not allow repeated fields. Everywhere else where we need a list of KeyValue messages (e.g. in Span) we use `repeated KeyValue` directly to avoid unnecessary extra wrapping (which slows down the protocol). The 2 approaches are semantically equivalent.

func (*KeyValueList) MarshalToSizedBufferVT 

func (m *KeyValueList) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*KeyValueList) MarshalToVT 

func (m *KeyValueList) MarshalToVT(dAtA []byte) (int, error)

func (*KeyValueList) MarshalVT 

func (m *KeyValueList) MarshalVT() (dAtA []byte, err error)

func (*KeyValueList) SizeVT 

func (m *KeyValueList) SizeVT() (n int)

func (*KeyValueList) UnmarshalVT 

func (m *KeyValueList) UnmarshalVT(dAtA []byte) error

type Metric 

type Metric struct {

	// 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"`
	// contains filtered or unexported fields
}

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.

func (*Metric) MarshalToSizedBufferVT 

func (m *Metric) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Metric) MarshalToVT 

func (m *Metric) MarshalToVT(dAtA []byte) (int, error)

func (*Metric) MarshalVT 

func (m *Metric) MarshalVT() (dAtA []byte, err error)

func (*Metric) SizeVT 

func (m *Metric) SizeVT() (n int)

func (*Metric) UnmarshalVT 

func (m *Metric) UnmarshalVT(dAtA []byte) error

type Metric_ExponentialHistogram 

type Metric_ExponentialHistogram struct {
	ExponentialHistogram *ExponentialHistogram `protobuf:"bytes,10,opt,name=exponential_histogram,json=exponentialHistogram,proto3,oneof"`
}

func (*Metric_ExponentialHistogram) MarshalToSizedBufferVT 

func (m *Metric_ExponentialHistogram) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Metric_ExponentialHistogram) MarshalToVT 

func (m *Metric_ExponentialHistogram) MarshalToVT(dAtA []byte) (int, error)

func (*Metric_ExponentialHistogram) SizeVT 

func (m *Metric_ExponentialHistogram) SizeVT() (n int)

type Metric_Gauge 

type Metric_Gauge struct {
	Gauge *Gauge `protobuf:"bytes,5,opt,name=gauge,proto3,oneof"`
}

func (*Metric_Gauge) MarshalToSizedBufferVT 

func (m *Metric_Gauge) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Metric_Gauge) MarshalToVT 

func (m *Metric_Gauge) MarshalToVT(dAtA []byte) (int, error)

func (*Metric_Gauge) SizeVT 

func (m *Metric_Gauge) SizeVT() (n int)

type Metric_Histogram 

type Metric_Histogram struct {
	Histogram *Histogram `protobuf:"bytes,9,opt,name=histogram,proto3,oneof"`
}

func (*Metric_Histogram) MarshalToSizedBufferVT 

func (m *Metric_Histogram) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Metric_Histogram) MarshalToVT 

func (m *Metric_Histogram) MarshalToVT(dAtA []byte) (int, error)

func (*Metric_Histogram) SizeVT 

func (m *Metric_Histogram) SizeVT() (n int)

type Metric_Sum 

type Metric_Sum struct {
	Sum *Sum `protobuf:"bytes,7,opt,name=sum,proto3,oneof"`
}

func (*Metric_Sum) MarshalToSizedBufferVT 

func (m *Metric_Sum) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Metric_Sum) MarshalToVT 

func (m *Metric_Sum) MarshalToVT(dAtA []byte) (int, error)

func (*Metric_Sum) SizeVT 

func (m *Metric_Sum) SizeVT() (n int)

type Metric_Summary 

type Metric_Summary struct {
	Summary *Summary `protobuf:"bytes,11,opt,name=summary,proto3,oneof"`
}

func (*Metric_Summary) MarshalToSizedBufferVT 

func (m *Metric_Summary) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Metric_Summary) MarshalToVT 

func (m *Metric_Summary) MarshalToVT(dAtA []byte) (int, error)

func (*Metric_Summary) SizeVT 

func (m *Metric_Summary) SizeVT() (n int)

type MetricsData 

type MetricsData struct {

	// 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"`
	// contains filtered or unexported fields
}

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.

func (*MetricsData) MarshalToSizedBufferVT 

func (m *MetricsData) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*MetricsData) MarshalToVT 

func (m *MetricsData) MarshalToVT(dAtA []byte) (int, error)

func (*MetricsData) MarshalVT 

func (m *MetricsData) MarshalVT() (dAtA []byte, err error)

func (*MetricsData) SizeVT 

func (m *MetricsData) SizeVT() (n int)

func (*MetricsData) UnmarshalVT 

func (m *MetricsData) UnmarshalVT(dAtA []byte) error

type NumberDataPoint 

type NumberDataPoint struct {

	// 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 []*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"`
	// contains filtered or unexported fields
}

NumberDataPoint is a single data point in a timeseries that describes the time-varying scalar value of a metric.

func (*NumberDataPoint) MarshalToSizedBufferVT 

func (m *NumberDataPoint) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*NumberDataPoint) MarshalToVT 

func (m *NumberDataPoint) MarshalToVT(dAtA []byte) (int, error)

func (*NumberDataPoint) MarshalVT 

func (m *NumberDataPoint) MarshalVT() (dAtA []byte, err error)

func (*NumberDataPoint) SizeVT 

func (m *NumberDataPoint) SizeVT() (n int)

func (*NumberDataPoint) UnmarshalVT 

func (m *NumberDataPoint) UnmarshalVT(dAtA []byte) error

type NumberDataPoint_AsDouble 

type NumberDataPoint_AsDouble struct {
	AsDouble float64 `protobuf:"fixed64,4,opt,name=as_double,json=asDouble,proto3,oneof"`
}

func (*NumberDataPoint_AsDouble) MarshalToSizedBufferVT 

func (m *NumberDataPoint_AsDouble) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*NumberDataPoint_AsDouble) MarshalToVT 

func (m *NumberDataPoint_AsDouble) MarshalToVT(dAtA []byte) (int, error)

func (*NumberDataPoint_AsDouble) SizeVT 

func (m *NumberDataPoint_AsDouble) SizeVT() (n int)

type NumberDataPoint_AsInt 

type NumberDataPoint_AsInt struct {
	AsInt int64 `protobuf:"fixed64,6,opt,name=as_int,json=asInt,proto3,oneof"`
}

func (*NumberDataPoint_AsInt) MarshalToSizedBufferVT 

func (m *NumberDataPoint_AsInt) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*NumberDataPoint_AsInt) MarshalToVT 

func (m *NumberDataPoint_AsInt) MarshalToVT(dAtA []byte) (int, error)

func (*NumberDataPoint_AsInt) SizeVT 

func (m *NumberDataPoint_AsInt) SizeVT() (n int)

type Resource 

type Resource struct {

	// Set of attributes that describe the resource.
	// Attribute keys MUST be unique (it is not allowed to have more than one
	// attribute with the same key).
	Attributes []*KeyValue `protobuf:"bytes,1,rep,name=attributes,proto3" json:"attributes,omitempty"`
	// dropped_attributes_count is the number of dropped attributes. If the value is 0, then
	// no attributes were dropped.
	DroppedAttributesCount uint32 `` /* 130-byte string literal not displayed */
	// contains filtered or unexported fields
}

Resource information.

func (*Resource) GetAttributes 

func (x *Resource) GetAttributes() []*KeyValue

func (*Resource) GetDroppedAttributesCount 

func (x *Resource) GetDroppedAttributesCount() uint32

func (*Resource) MarshalToSizedBufferVT 

func (m *Resource) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Resource) MarshalToVT 

func (m *Resource) MarshalToVT(dAtA []byte) (int, error)

func (*Resource) MarshalVT 

func (m *Resource) MarshalVT() (dAtA []byte, err error)

func (*Resource) SizeVT 

func (m *Resource) SizeVT() (n int)

func (*Resource) UnmarshalVT 

func (m *Resource) UnmarshalVT(dAtA []byte) error

type ResourceMetrics 

type ResourceMetrics struct {

	// The resource for the metrics in this message.
	// If this field is not set then no resource info is known.
	Resource *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"`
	// contains filtered or unexported fields
}

A collection of ScopeMetrics from a Resource.

func (*ResourceMetrics) MarshalToSizedBufferVT 

func (m *ResourceMetrics) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*ResourceMetrics) MarshalToVT 

func (m *ResourceMetrics) MarshalToVT(dAtA []byte) (int, error)

func (*ResourceMetrics) MarshalVT 

func (m *ResourceMetrics) MarshalVT() (dAtA []byte, err error)

func (*ResourceMetrics) SizeVT 

func (m *ResourceMetrics) SizeVT() (n int)

func (*ResourceMetrics) UnmarshalVT 

func (m *ResourceMetrics) UnmarshalVT(dAtA []byte) error

type ScopeMetrics 

type ScopeMetrics struct {

	// 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"`
	// contains filtered or unexported fields
}

A collection of Metrics produced by an Scope.

func (*ScopeMetrics) MarshalToSizedBufferVT 

func (m *ScopeMetrics) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*ScopeMetrics) MarshalToVT 

func (m *ScopeMetrics) MarshalToVT(dAtA []byte) (int, error)

func (*ScopeMetrics) MarshalVT 

func (m *ScopeMetrics) MarshalVT() (dAtA []byte, err error)

func (*ScopeMetrics) SizeVT 

func (m *ScopeMetrics) SizeVT() (n int)

func (*ScopeMetrics) UnmarshalVT 

func (m *ScopeMetrics) UnmarshalVT(dAtA []byte) error

type Sum 

type Sum struct {
	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 `` /* 170-byte string literal not displayed */
	// If "true" means that the sum is monotonic.
	IsMonotonic bool `protobuf:"varint,3,opt,name=is_monotonic,json=isMonotonic,proto3" json:"is_monotonic,omitempty"`
	// contains filtered or unexported fields
}

Sum represents the type of a scalar metric that is calculated as a sum of all reported measurements over a time interval.

func (*Sum) MarshalToSizedBufferVT 

func (m *Sum) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Sum) MarshalToVT 

func (m *Sum) MarshalToVT(dAtA []byte) (int, error)

func (*Sum) MarshalVT 

func (m *Sum) MarshalVT() (dAtA []byte, err error)

func (*Sum) SizeVT 

func (m *Sum) SizeVT() (n int)

func (*Sum) UnmarshalVT 

func (m *Sum) UnmarshalVT(dAtA []byte) error

type Summary 

type Summary struct {
	DataPoints []*SummaryDataPoint `protobuf:"bytes,1,rep,name=data_points,json=dataPoints,proto3" json:"data_points,omitempty"`
	// contains filtered or unexported fields
}

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.

func (*Summary) MarshalToSizedBufferVT 

func (m *Summary) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*Summary) MarshalToVT 

func (m *Summary) MarshalToVT(dAtA []byte) (int, error)

func (*Summary) MarshalVT 

func (m *Summary) MarshalVT() (dAtA []byte, err error)

func (*Summary) SizeVT 

func (m *Summary) SizeVT() (n int)

func (*Summary) UnmarshalVT 

func (m *Summary) UnmarshalVT(dAtA []byte) error

type SummaryDataPoint 

type SummaryDataPoint struct {

	// 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 []*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"`
	// contains filtered or unexported fields
}

SummaryDataPoint is a single data point in a timeseries that describes the time-varying values of a Summary metric.

func (*SummaryDataPoint) MarshalToSizedBufferVT 

func (m *SummaryDataPoint) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*SummaryDataPoint) MarshalToVT 

func (m *SummaryDataPoint) MarshalToVT(dAtA []byte) (int, error)

func (*SummaryDataPoint) MarshalVT 

func (m *SummaryDataPoint) MarshalVT() (dAtA []byte, err error)

func (*SummaryDataPoint) SizeVT 

func (m *SummaryDataPoint) SizeVT() (n int)

func (*SummaryDataPoint) UnmarshalVT 

func (m *SummaryDataPoint) UnmarshalVT(dAtA []byte) error

type SummaryDataPoint_ValueAtQuantile 

type SummaryDataPoint_ValueAtQuantile struct {

	// 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"`
	// contains filtered or unexported fields
}

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

func (*SummaryDataPoint_ValueAtQuantile) MarshalToSizedBufferVT 

func (m *SummaryDataPoint_ValueAtQuantile) MarshalToSizedBufferVT(dAtA []byte) (int, error)

func (*SummaryDataPoint_ValueAtQuantile) MarshalToVT 

func (m *SummaryDataPoint_ValueAtQuantile) MarshalToVT(dAtA []byte) (int, error)

func (*SummaryDataPoint_ValueAtQuantile) MarshalVT 

func (m *SummaryDataPoint_ValueAtQuantile) MarshalVT() (dAtA []byte, err error)

func (*SummaryDataPoint_ValueAtQuantile) SizeVT 

func (m *SummaryDataPoint_ValueAtQuantile) SizeVT() (n int)

func (*SummaryDataPoint_ValueAtQuantile) UnmarshalVT 

func (m *SummaryDataPoint_ValueAtQuantile) UnmarshalVT(dAtA []byte) error

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