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- // Code generated by protoc-gen-go. DO NOT EDIT.
- // source: google/monitoring/v3/common.proto
-
- package monitoring // import "google.golang.org/genproto/googleapis/monitoring/v3"
-
- import proto "github.com/golang/protobuf/proto"
- import fmt "fmt"
- import math "math"
- import duration "github.com/golang/protobuf/ptypes/duration"
- import timestamp "github.com/golang/protobuf/ptypes/timestamp"
- import _ "google.golang.org/genproto/googleapis/api/annotations"
- import distribution "google.golang.org/genproto/googleapis/api/distribution"
-
- // Reference imports to suppress errors if they are not otherwise used.
- var _ = proto.Marshal
- var _ = fmt.Errorf
- var _ = math.Inf
-
- // This is a compile-time assertion to ensure that this generated file
- // is compatible with the proto package it is being compiled against.
- // A compilation error at this line likely means your copy of the
- // proto package needs to be updated.
- const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package
-
- // Specifies an ordering relationship on two arguments, here called left and
- // right.
- type ComparisonType int32
-
- const (
- // No ordering relationship is specified.
- ComparisonType_COMPARISON_UNSPECIFIED ComparisonType = 0
- // The left argument is greater than the right argument.
- ComparisonType_COMPARISON_GT ComparisonType = 1
- // The left argument is greater than or equal to the right argument.
- ComparisonType_COMPARISON_GE ComparisonType = 2
- // The left argument is less than the right argument.
- ComparisonType_COMPARISON_LT ComparisonType = 3
- // The left argument is less than or equal to the right argument.
- ComparisonType_COMPARISON_LE ComparisonType = 4
- // The left argument is equal to the right argument.
- ComparisonType_COMPARISON_EQ ComparisonType = 5
- // The left argument is not equal to the right argument.
- ComparisonType_COMPARISON_NE ComparisonType = 6
- )
-
- var ComparisonType_name = map[int32]string{
- 0: "COMPARISON_UNSPECIFIED",
- 1: "COMPARISON_GT",
- 2: "COMPARISON_GE",
- 3: "COMPARISON_LT",
- 4: "COMPARISON_LE",
- 5: "COMPARISON_EQ",
- 6: "COMPARISON_NE",
- }
- var ComparisonType_value = map[string]int32{
- "COMPARISON_UNSPECIFIED": 0,
- "COMPARISON_GT": 1,
- "COMPARISON_GE": 2,
- "COMPARISON_LT": 3,
- "COMPARISON_LE": 4,
- "COMPARISON_EQ": 5,
- "COMPARISON_NE": 6,
- }
-
- func (x ComparisonType) String() string {
- return proto.EnumName(ComparisonType_name, int32(x))
- }
- func (ComparisonType) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_common_a95521d463668240, []int{0}
- }
-
- // The tier of service for a Workspace. Please see the
- // [service tiers
- // documentation](https://cloud.google.com/monitoring/workspaces/tiers) for more
- // details.
- type ServiceTier int32 // Deprecated: Do not use.
- const (
- // An invalid sentinel value, used to indicate that a tier has not
- // been provided explicitly.
- ServiceTier_SERVICE_TIER_UNSPECIFIED ServiceTier = 0
- // The Stackdriver Basic tier, a free tier of service that provides basic
- // features, a moderate allotment of logs, and access to built-in metrics.
- // A number of features are not available in this tier. For more details,
- // see [the service tiers
- // documentation](https://cloud.google.com/monitoring/workspaces/tiers).
- ServiceTier_SERVICE_TIER_BASIC ServiceTier = 1
- // The Stackdriver Premium tier, a higher, more expensive tier of service
- // that provides access to all Stackdriver features, lets you use Stackdriver
- // with AWS accounts, and has a larger allotments for logs and metrics. For
- // more details, see [the service tiers
- // documentation](https://cloud.google.com/monitoring/workspaces/tiers).
- ServiceTier_SERVICE_TIER_PREMIUM ServiceTier = 2
- )
-
- var ServiceTier_name = map[int32]string{
- 0: "SERVICE_TIER_UNSPECIFIED",
- 1: "SERVICE_TIER_BASIC",
- 2: "SERVICE_TIER_PREMIUM",
- }
- var ServiceTier_value = map[string]int32{
- "SERVICE_TIER_UNSPECIFIED": 0,
- "SERVICE_TIER_BASIC": 1,
- "SERVICE_TIER_PREMIUM": 2,
- }
-
- func (x ServiceTier) String() string {
- return proto.EnumName(ServiceTier_name, int32(x))
- }
- func (ServiceTier) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_common_a95521d463668240, []int{1}
- }
-
- // The Aligner describes how to bring the data points in a single
- // time series into temporal alignment.
- type Aggregation_Aligner int32
-
- const (
- // No alignment. Raw data is returned. Not valid if cross-time
- // series reduction is requested. The value type of the result is
- // the same as the value type of the input.
- Aggregation_ALIGN_NONE Aggregation_Aligner = 0
- // Align and convert to delta metric type. This alignment is valid
- // for cumulative metrics and delta metrics. Aligning an existing
- // delta metric to a delta metric requires that the alignment
- // period be increased. The value type of the result is the same
- // as the value type of the input.
- //
- // One can think of this aligner as a rate but without time units; that
- // is, the output is conceptually (second_point - first_point).
- Aggregation_ALIGN_DELTA Aggregation_Aligner = 1
- // Align and convert to a rate. This alignment is valid for
- // cumulative metrics and delta metrics with numeric values. The output is a
- // gauge metric with value type
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- //
- // One can think of this aligner as conceptually providing the slope of
- // the line that passes through the value at the start and end of the
- // window. In other words, this is conceptually ((y1 - y0)/(t1 - t0)),
- // and the output unit is one that has a "/time" dimension.
- //
- // If, by rate, you are looking for percentage change, see the
- // `ALIGN_PERCENT_CHANGE` aligner option.
- Aggregation_ALIGN_RATE Aggregation_Aligner = 2
- // Align by interpolating between adjacent points around the
- // period boundary. This alignment is valid for gauge
- // metrics with numeric values. The value type of the result is the same
- // as the value type of the input.
- Aggregation_ALIGN_INTERPOLATE Aggregation_Aligner = 3
- // Align by shifting the oldest data point before the period
- // boundary to the boundary. This alignment is valid for gauge
- // metrics. The value type of the result is the same as the
- // value type of the input.
- Aggregation_ALIGN_NEXT_OLDER Aggregation_Aligner = 4
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the minimum of all data points in the
- // period. This alignment is valid for gauge and delta metrics with numeric
- // values. The value type of the result is the same as the value
- // type of the input.
- Aggregation_ALIGN_MIN Aggregation_Aligner = 10
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the maximum of all data points in the
- // period. This alignment is valid for gauge and delta metrics with numeric
- // values. The value type of the result is the same as the value
- // type of the input.
- Aggregation_ALIGN_MAX Aggregation_Aligner = 11
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the average or arithmetic mean of all
- // data points in the period. This alignment is valid for gauge and delta
- // metrics with numeric values. The value type of the output is
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_ALIGN_MEAN Aggregation_Aligner = 12
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the count of all data points in the
- // period. This alignment is valid for gauge and delta metrics with numeric
- // or Boolean values. The value type of the output is
- // [INT64][google.api.MetricDescriptor.ValueType.INT64].
- Aggregation_ALIGN_COUNT Aggregation_Aligner = 13
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the sum of all data points in the
- // period. This alignment is valid for gauge and delta metrics with numeric
- // and distribution values. The value type of the output is the
- // same as the value type of the input.
- Aggregation_ALIGN_SUM Aggregation_Aligner = 14
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the standard deviation of all data
- // points in the period. This alignment is valid for gauge and delta metrics
- // with numeric values. The value type of the output is
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_ALIGN_STDDEV Aggregation_Aligner = 15
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the count of True-valued data points in the
- // period. This alignment is valid for gauge metrics with
- // Boolean values. The value type of the output is
- // [INT64][google.api.MetricDescriptor.ValueType.INT64].
- Aggregation_ALIGN_COUNT_TRUE Aggregation_Aligner = 16
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the count of False-valued data points in the
- // period. This alignment is valid for gauge metrics with
- // Boolean values. The value type of the output is
- // [INT64][google.api.MetricDescriptor.ValueType.INT64].
- Aggregation_ALIGN_COUNT_FALSE Aggregation_Aligner = 24
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the fraction of True-valued data points in the
- // period. This alignment is valid for gauge metrics with Boolean values.
- // The output value is in the range [0, 1] and has value type
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_ALIGN_FRACTION_TRUE Aggregation_Aligner = 17
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the 99th percentile of all data
- // points in the period. This alignment is valid for gauge and delta metrics
- // with distribution values. The output is a gauge metric with value type
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_ALIGN_PERCENTILE_99 Aggregation_Aligner = 18
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the 95th percentile of all data
- // points in the period. This alignment is valid for gauge and delta metrics
- // with distribution values. The output is a gauge metric with value type
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_ALIGN_PERCENTILE_95 Aggregation_Aligner = 19
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the 50th percentile of all data
- // points in the period. This alignment is valid for gauge and delta metrics
- // with distribution values. The output is a gauge metric with value type
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_ALIGN_PERCENTILE_50 Aggregation_Aligner = 20
- // Align time series via aggregation. The resulting data point in
- // the alignment period is the 5th percentile of all data
- // points in the period. This alignment is valid for gauge and delta metrics
- // with distribution values. The output is a gauge metric with value type
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_ALIGN_PERCENTILE_05 Aggregation_Aligner = 21
- // Align and convert to a percentage change. This alignment is valid for
- // gauge and delta metrics with numeric values. This alignment conceptually
- // computes the equivalent of "((current - previous)/previous)*100"
- // where previous value is determined based on the alignmentPeriod.
- // In the event that previous is 0 the calculated value is infinity with the
- // exception that if both (current - previous) and previous are 0 the
- // calculated value is 0.
- // A 10 minute moving mean is computed at each point of the time window
- // prior to the above calculation to smooth the metric and prevent false
- // positives from very short lived spikes.
- // Only applicable for data that is >= 0. Any values < 0 are treated as
- // no data. While delta metrics are accepted by this alignment special care
- // should be taken that the values for the metric will always be positive.
- // The output is a gauge metric with value type
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_ALIGN_PERCENT_CHANGE Aggregation_Aligner = 23
- )
-
- var Aggregation_Aligner_name = map[int32]string{
- 0: "ALIGN_NONE",
- 1: "ALIGN_DELTA",
- 2: "ALIGN_RATE",
- 3: "ALIGN_INTERPOLATE",
- 4: "ALIGN_NEXT_OLDER",
- 10: "ALIGN_MIN",
- 11: "ALIGN_MAX",
- 12: "ALIGN_MEAN",
- 13: "ALIGN_COUNT",
- 14: "ALIGN_SUM",
- 15: "ALIGN_STDDEV",
- 16: "ALIGN_COUNT_TRUE",
- 24: "ALIGN_COUNT_FALSE",
- 17: "ALIGN_FRACTION_TRUE",
- 18: "ALIGN_PERCENTILE_99",
- 19: "ALIGN_PERCENTILE_95",
- 20: "ALIGN_PERCENTILE_50",
- 21: "ALIGN_PERCENTILE_05",
- 23: "ALIGN_PERCENT_CHANGE",
- }
- var Aggregation_Aligner_value = map[string]int32{
- "ALIGN_NONE": 0,
- "ALIGN_DELTA": 1,
- "ALIGN_RATE": 2,
- "ALIGN_INTERPOLATE": 3,
- "ALIGN_NEXT_OLDER": 4,
- "ALIGN_MIN": 10,
- "ALIGN_MAX": 11,
- "ALIGN_MEAN": 12,
- "ALIGN_COUNT": 13,
- "ALIGN_SUM": 14,
- "ALIGN_STDDEV": 15,
- "ALIGN_COUNT_TRUE": 16,
- "ALIGN_COUNT_FALSE": 24,
- "ALIGN_FRACTION_TRUE": 17,
- "ALIGN_PERCENTILE_99": 18,
- "ALIGN_PERCENTILE_95": 19,
- "ALIGN_PERCENTILE_50": 20,
- "ALIGN_PERCENTILE_05": 21,
- "ALIGN_PERCENT_CHANGE": 23,
- }
-
- func (x Aggregation_Aligner) String() string {
- return proto.EnumName(Aggregation_Aligner_name, int32(x))
- }
- func (Aggregation_Aligner) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_common_a95521d463668240, []int{2, 0}
- }
-
- // A Reducer describes how to aggregate data points from multiple
- // time series into a single time series.
- type Aggregation_Reducer int32
-
- const (
- // No cross-time series reduction. The output of the aligner is
- // returned.
- Aggregation_REDUCE_NONE Aggregation_Reducer = 0
- // Reduce by computing the mean across time series for each
- // alignment period. This reducer is valid for delta and
- // gauge metrics with numeric or distribution values. The value type of the
- // output is [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_REDUCE_MEAN Aggregation_Reducer = 1
- // Reduce by computing the minimum across time series for each
- // alignment period. This reducer is valid for delta and
- // gauge metrics with numeric values. The value type of the output
- // is the same as the value type of the input.
- Aggregation_REDUCE_MIN Aggregation_Reducer = 2
- // Reduce by computing the maximum across time series for each
- // alignment period. This reducer is valid for delta and
- // gauge metrics with numeric values. The value type of the output
- // is the same as the value type of the input.
- Aggregation_REDUCE_MAX Aggregation_Reducer = 3
- // Reduce by computing the sum across time series for each
- // alignment period. This reducer is valid for delta and
- // gauge metrics with numeric and distribution values. The value type of
- // the output is the same as the value type of the input.
- Aggregation_REDUCE_SUM Aggregation_Reducer = 4
- // Reduce by computing the standard deviation across time series
- // for each alignment period. This reducer is valid for delta
- // and gauge metrics with numeric or distribution values. The value type of
- // the output is [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_REDUCE_STDDEV Aggregation_Reducer = 5
- // Reduce by computing the count of data points across time series
- // for each alignment period. This reducer is valid for delta
- // and gauge metrics of numeric, Boolean, distribution, and string value
- // type. The value type of the output is
- // [INT64][google.api.MetricDescriptor.ValueType.INT64].
- Aggregation_REDUCE_COUNT Aggregation_Reducer = 6
- // Reduce by computing the count of True-valued data points across time
- // series for each alignment period. This reducer is valid for delta
- // and gauge metrics of Boolean value type. The value type of
- // the output is [INT64][google.api.MetricDescriptor.ValueType.INT64].
- Aggregation_REDUCE_COUNT_TRUE Aggregation_Reducer = 7
- // Reduce by computing the count of False-valued data points across time
- // series for each alignment period. This reducer is valid for delta
- // and gauge metrics of Boolean value type. The value type of
- // the output is [INT64][google.api.MetricDescriptor.ValueType.INT64].
- Aggregation_REDUCE_COUNT_FALSE Aggregation_Reducer = 15
- // Reduce by computing the fraction of True-valued data points across time
- // series for each alignment period. This reducer is valid for delta
- // and gauge metrics of Boolean value type. The output value is in the
- // range [0, 1] and has value type
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
- Aggregation_REDUCE_FRACTION_TRUE Aggregation_Reducer = 8
- // Reduce by computing 99th percentile of data points across time series
- // for each alignment period. This reducer is valid for gauge and delta
- // metrics of numeric and distribution type. The value of the output is
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]
- Aggregation_REDUCE_PERCENTILE_99 Aggregation_Reducer = 9
- // Reduce by computing 95th percentile of data points across time series
- // for each alignment period. This reducer is valid for gauge and delta
- // metrics of numeric and distribution type. The value of the output is
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]
- Aggregation_REDUCE_PERCENTILE_95 Aggregation_Reducer = 10
- // Reduce by computing 50th percentile of data points across time series
- // for each alignment period. This reducer is valid for gauge and delta
- // metrics of numeric and distribution type. The value of the output is
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]
- Aggregation_REDUCE_PERCENTILE_50 Aggregation_Reducer = 11
- // Reduce by computing 5th percentile of data points across time series
- // for each alignment period. This reducer is valid for gauge and delta
- // metrics of numeric and distribution type. The value of the output is
- // [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]
- Aggregation_REDUCE_PERCENTILE_05 Aggregation_Reducer = 12
- )
-
- var Aggregation_Reducer_name = map[int32]string{
- 0: "REDUCE_NONE",
- 1: "REDUCE_MEAN",
- 2: "REDUCE_MIN",
- 3: "REDUCE_MAX",
- 4: "REDUCE_SUM",
- 5: "REDUCE_STDDEV",
- 6: "REDUCE_COUNT",
- 7: "REDUCE_COUNT_TRUE",
- 15: "REDUCE_COUNT_FALSE",
- 8: "REDUCE_FRACTION_TRUE",
- 9: "REDUCE_PERCENTILE_99",
- 10: "REDUCE_PERCENTILE_95",
- 11: "REDUCE_PERCENTILE_50",
- 12: "REDUCE_PERCENTILE_05",
- }
- var Aggregation_Reducer_value = map[string]int32{
- "REDUCE_NONE": 0,
- "REDUCE_MEAN": 1,
- "REDUCE_MIN": 2,
- "REDUCE_MAX": 3,
- "REDUCE_SUM": 4,
- "REDUCE_STDDEV": 5,
- "REDUCE_COUNT": 6,
- "REDUCE_COUNT_TRUE": 7,
- "REDUCE_COUNT_FALSE": 15,
- "REDUCE_FRACTION_TRUE": 8,
- "REDUCE_PERCENTILE_99": 9,
- "REDUCE_PERCENTILE_95": 10,
- "REDUCE_PERCENTILE_50": 11,
- "REDUCE_PERCENTILE_05": 12,
- }
-
- func (x Aggregation_Reducer) String() string {
- return proto.EnumName(Aggregation_Reducer_name, int32(x))
- }
- func (Aggregation_Reducer) EnumDescriptor() ([]byte, []int) {
- return fileDescriptor_common_a95521d463668240, []int{2, 1}
- }
-
- // A single strongly-typed value.
- type TypedValue struct {
- // The typed value field.
- //
- // Types that are valid to be assigned to Value:
- // *TypedValue_BoolValue
- // *TypedValue_Int64Value
- // *TypedValue_DoubleValue
- // *TypedValue_StringValue
- // *TypedValue_DistributionValue
- Value isTypedValue_Value `protobuf_oneof:"value"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *TypedValue) Reset() { *m = TypedValue{} }
- func (m *TypedValue) String() string { return proto.CompactTextString(m) }
- func (*TypedValue) ProtoMessage() {}
- func (*TypedValue) Descriptor() ([]byte, []int) {
- return fileDescriptor_common_a95521d463668240, []int{0}
- }
- func (m *TypedValue) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_TypedValue.Unmarshal(m, b)
- }
- func (m *TypedValue) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_TypedValue.Marshal(b, m, deterministic)
- }
- func (dst *TypedValue) XXX_Merge(src proto.Message) {
- xxx_messageInfo_TypedValue.Merge(dst, src)
- }
- func (m *TypedValue) XXX_Size() int {
- return xxx_messageInfo_TypedValue.Size(m)
- }
- func (m *TypedValue) XXX_DiscardUnknown() {
- xxx_messageInfo_TypedValue.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_TypedValue proto.InternalMessageInfo
-
- type isTypedValue_Value interface {
- isTypedValue_Value()
- }
-
- type TypedValue_BoolValue struct {
- BoolValue bool `protobuf:"varint,1,opt,name=bool_value,json=boolValue,proto3,oneof"`
- }
-
- type TypedValue_Int64Value struct {
- Int64Value int64 `protobuf:"varint,2,opt,name=int64_value,json=int64Value,proto3,oneof"`
- }
-
- type TypedValue_DoubleValue struct {
- DoubleValue float64 `protobuf:"fixed64,3,opt,name=double_value,json=doubleValue,proto3,oneof"`
- }
-
- type TypedValue_StringValue struct {
- StringValue string `protobuf:"bytes,4,opt,name=string_value,json=stringValue,proto3,oneof"`
- }
-
- type TypedValue_DistributionValue struct {
- DistributionValue *distribution.Distribution `protobuf:"bytes,5,opt,name=distribution_value,json=distributionValue,proto3,oneof"`
- }
-
- func (*TypedValue_BoolValue) isTypedValue_Value() {}
-
- func (*TypedValue_Int64Value) isTypedValue_Value() {}
-
- func (*TypedValue_DoubleValue) isTypedValue_Value() {}
-
- func (*TypedValue_StringValue) isTypedValue_Value() {}
-
- func (*TypedValue_DistributionValue) isTypedValue_Value() {}
-
- func (m *TypedValue) GetValue() isTypedValue_Value {
- if m != nil {
- return m.Value
- }
- return nil
- }
-
- func (m *TypedValue) GetBoolValue() bool {
- if x, ok := m.GetValue().(*TypedValue_BoolValue); ok {
- return x.BoolValue
- }
- return false
- }
-
- func (m *TypedValue) GetInt64Value() int64 {
- if x, ok := m.GetValue().(*TypedValue_Int64Value); ok {
- return x.Int64Value
- }
- return 0
- }
-
- func (m *TypedValue) GetDoubleValue() float64 {
- if x, ok := m.GetValue().(*TypedValue_DoubleValue); ok {
- return x.DoubleValue
- }
- return 0
- }
-
- func (m *TypedValue) GetStringValue() string {
- if x, ok := m.GetValue().(*TypedValue_StringValue); ok {
- return x.StringValue
- }
- return ""
- }
-
- func (m *TypedValue) GetDistributionValue() *distribution.Distribution {
- if x, ok := m.GetValue().(*TypedValue_DistributionValue); ok {
- return x.DistributionValue
- }
- return nil
- }
-
- // XXX_OneofFuncs is for the internal use of the proto package.
- func (*TypedValue) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
- return _TypedValue_OneofMarshaler, _TypedValue_OneofUnmarshaler, _TypedValue_OneofSizer, []interface{}{
- (*TypedValue_BoolValue)(nil),
- (*TypedValue_Int64Value)(nil),
- (*TypedValue_DoubleValue)(nil),
- (*TypedValue_StringValue)(nil),
- (*TypedValue_DistributionValue)(nil),
- }
- }
-
- func _TypedValue_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
- m := msg.(*TypedValue)
- // value
- switch x := m.Value.(type) {
- case *TypedValue_BoolValue:
- t := uint64(0)
- if x.BoolValue {
- t = 1
- }
- b.EncodeVarint(1<<3 | proto.WireVarint)
- b.EncodeVarint(t)
- case *TypedValue_Int64Value:
- b.EncodeVarint(2<<3 | proto.WireVarint)
- b.EncodeVarint(uint64(x.Int64Value))
- case *TypedValue_DoubleValue:
- b.EncodeVarint(3<<3 | proto.WireFixed64)
- b.EncodeFixed64(math.Float64bits(x.DoubleValue))
- case *TypedValue_StringValue:
- b.EncodeVarint(4<<3 | proto.WireBytes)
- b.EncodeStringBytes(x.StringValue)
- case *TypedValue_DistributionValue:
- b.EncodeVarint(5<<3 | proto.WireBytes)
- if err := b.EncodeMessage(x.DistributionValue); err != nil {
- return err
- }
- case nil:
- default:
- return fmt.Errorf("TypedValue.Value has unexpected type %T", x)
- }
- return nil
- }
-
- func _TypedValue_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
- m := msg.(*TypedValue)
- switch tag {
- case 1: // value.bool_value
- if wire != proto.WireVarint {
- return true, proto.ErrInternalBadWireType
- }
- x, err := b.DecodeVarint()
- m.Value = &TypedValue_BoolValue{x != 0}
- return true, err
- case 2: // value.int64_value
- if wire != proto.WireVarint {
- return true, proto.ErrInternalBadWireType
- }
- x, err := b.DecodeVarint()
- m.Value = &TypedValue_Int64Value{int64(x)}
- return true, err
- case 3: // value.double_value
- if wire != proto.WireFixed64 {
- return true, proto.ErrInternalBadWireType
- }
- x, err := b.DecodeFixed64()
- m.Value = &TypedValue_DoubleValue{math.Float64frombits(x)}
- return true, err
- case 4: // value.string_value
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- x, err := b.DecodeStringBytes()
- m.Value = &TypedValue_StringValue{x}
- return true, err
- case 5: // value.distribution_value
- if wire != proto.WireBytes {
- return true, proto.ErrInternalBadWireType
- }
- msg := new(distribution.Distribution)
- err := b.DecodeMessage(msg)
- m.Value = &TypedValue_DistributionValue{msg}
- return true, err
- default:
- return false, nil
- }
- }
-
- func _TypedValue_OneofSizer(msg proto.Message) (n int) {
- m := msg.(*TypedValue)
- // value
- switch x := m.Value.(type) {
- case *TypedValue_BoolValue:
- n += 1 // tag and wire
- n += 1
- case *TypedValue_Int64Value:
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(x.Int64Value))
- case *TypedValue_DoubleValue:
- n += 1 // tag and wire
- n += 8
- case *TypedValue_StringValue:
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(len(x.StringValue)))
- n += len(x.StringValue)
- case *TypedValue_DistributionValue:
- s := proto.Size(x.DistributionValue)
- n += 1 // tag and wire
- n += proto.SizeVarint(uint64(s))
- n += s
- case nil:
- default:
- panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
- }
- return n
- }
-
- // A time interval extending just after a start time through an end time.
- // If the start time is the same as the end time, then the interval
- // represents a single point in time.
- type TimeInterval struct {
- // Required. The end of the time interval.
- EndTime *timestamp.Timestamp `protobuf:"bytes,2,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
- // Optional. The beginning of the time interval. The default value
- // for the start time is the end time. The start time must not be
- // later than the end time.
- StartTime *timestamp.Timestamp `protobuf:"bytes,1,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *TimeInterval) Reset() { *m = TimeInterval{} }
- func (m *TimeInterval) String() string { return proto.CompactTextString(m) }
- func (*TimeInterval) ProtoMessage() {}
- func (*TimeInterval) Descriptor() ([]byte, []int) {
- return fileDescriptor_common_a95521d463668240, []int{1}
- }
- func (m *TimeInterval) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_TimeInterval.Unmarshal(m, b)
- }
- func (m *TimeInterval) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_TimeInterval.Marshal(b, m, deterministic)
- }
- func (dst *TimeInterval) XXX_Merge(src proto.Message) {
- xxx_messageInfo_TimeInterval.Merge(dst, src)
- }
- func (m *TimeInterval) XXX_Size() int {
- return xxx_messageInfo_TimeInterval.Size(m)
- }
- func (m *TimeInterval) XXX_DiscardUnknown() {
- xxx_messageInfo_TimeInterval.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_TimeInterval proto.InternalMessageInfo
-
- func (m *TimeInterval) GetEndTime() *timestamp.Timestamp {
- if m != nil {
- return m.EndTime
- }
- return nil
- }
-
- func (m *TimeInterval) GetStartTime() *timestamp.Timestamp {
- if m != nil {
- return m.StartTime
- }
- return nil
- }
-
- // Describes how to combine multiple time series to provide different views of
- // the data. Aggregation consists of an alignment step on individual time
- // series (`alignment_period` and `per_series_aligner`) followed by an optional
- // reduction step of the data across the aligned time series
- // (`cross_series_reducer` and `group_by_fields`). For more details, see
- // [Aggregation](/monitoring/api/learn_more#aggregation).
- type Aggregation struct {
- // The alignment period for per-[time series][google.monitoring.v3.TimeSeries]
- // alignment. If present, `alignmentPeriod` must be at least 60
- // seconds. After per-time series alignment, each time series will
- // contain data points only on the period boundaries. If
- // `perSeriesAligner` is not specified or equals `ALIGN_NONE`, then
- // this field is ignored. If `perSeriesAligner` is specified and
- // does not equal `ALIGN_NONE`, then this field must be defined;
- // otherwise an error is returned.
- AlignmentPeriod *duration.Duration `protobuf:"bytes,1,opt,name=alignment_period,json=alignmentPeriod,proto3" json:"alignment_period,omitempty"`
- // The approach to be used to align individual time series. Not all
- // alignment functions may be applied to all time series, depending
- // on the metric type and value type of the original time
- // series. Alignment may change the metric type or the value type of
- // the time series.
- //
- // Time series data must be aligned in order to perform cross-time
- // series reduction. If `crossSeriesReducer` is specified, then
- // `perSeriesAligner` must be specified and not equal `ALIGN_NONE`
- // and `alignmentPeriod` must be specified; otherwise, an error is
- // returned.
- PerSeriesAligner Aggregation_Aligner `protobuf:"varint,2,opt,name=per_series_aligner,json=perSeriesAligner,proto3,enum=google.monitoring.v3.Aggregation_Aligner" json:"per_series_aligner,omitempty"`
- // The approach to be used to combine time series. Not all reducer
- // functions may be applied to all time series, depending on the
- // metric type and the value type of the original time
- // series. Reduction may change the metric type of value type of the
- // time series.
- //
- // Time series data must be aligned in order to perform cross-time
- // series reduction. If `crossSeriesReducer` is specified, then
- // `perSeriesAligner` must be specified and not equal `ALIGN_NONE`
- // and `alignmentPeriod` must be specified; otherwise, an error is
- // returned.
- CrossSeriesReducer Aggregation_Reducer `protobuf:"varint,4,opt,name=cross_series_reducer,json=crossSeriesReducer,proto3,enum=google.monitoring.v3.Aggregation_Reducer" json:"cross_series_reducer,omitempty"`
- // The set of fields to preserve when `crossSeriesReducer` is
- // specified. The `groupByFields` determine how the time series are
- // partitioned into subsets prior to applying the aggregation
- // function. Each subset contains time series that have the same
- // value for each of the grouping fields. Each individual time
- // series is a member of exactly one subset. The
- // `crossSeriesReducer` is applied to each subset of time series.
- // It is not possible to reduce across different resource types, so
- // this field implicitly contains `resource.type`. Fields not
- // specified in `groupByFields` are aggregated away. If
- // `groupByFields` is not specified and all the time series have
- // the same resource type, then the time series are aggregated into
- // a single output time series. If `crossSeriesReducer` is not
- // defined, this field is ignored.
- GroupByFields []string `protobuf:"bytes,5,rep,name=group_by_fields,json=groupByFields,proto3" json:"group_by_fields,omitempty"`
- XXX_NoUnkeyedLiteral struct{} `json:"-"`
- XXX_unrecognized []byte `json:"-"`
- XXX_sizecache int32 `json:"-"`
- }
-
- func (m *Aggregation) Reset() { *m = Aggregation{} }
- func (m *Aggregation) String() string { return proto.CompactTextString(m) }
- func (*Aggregation) ProtoMessage() {}
- func (*Aggregation) Descriptor() ([]byte, []int) {
- return fileDescriptor_common_a95521d463668240, []int{2}
- }
- func (m *Aggregation) XXX_Unmarshal(b []byte) error {
- return xxx_messageInfo_Aggregation.Unmarshal(m, b)
- }
- func (m *Aggregation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
- return xxx_messageInfo_Aggregation.Marshal(b, m, deterministic)
- }
- func (dst *Aggregation) XXX_Merge(src proto.Message) {
- xxx_messageInfo_Aggregation.Merge(dst, src)
- }
- func (m *Aggregation) XXX_Size() int {
- return xxx_messageInfo_Aggregation.Size(m)
- }
- func (m *Aggregation) XXX_DiscardUnknown() {
- xxx_messageInfo_Aggregation.DiscardUnknown(m)
- }
-
- var xxx_messageInfo_Aggregation proto.InternalMessageInfo
-
- func (m *Aggregation) GetAlignmentPeriod() *duration.Duration {
- if m != nil {
- return m.AlignmentPeriod
- }
- return nil
- }
-
- func (m *Aggregation) GetPerSeriesAligner() Aggregation_Aligner {
- if m != nil {
- return m.PerSeriesAligner
- }
- return Aggregation_ALIGN_NONE
- }
-
- func (m *Aggregation) GetCrossSeriesReducer() Aggregation_Reducer {
- if m != nil {
- return m.CrossSeriesReducer
- }
- return Aggregation_REDUCE_NONE
- }
-
- func (m *Aggregation) GetGroupByFields() []string {
- if m != nil {
- return m.GroupByFields
- }
- return nil
- }
-
- func init() {
- proto.RegisterType((*TypedValue)(nil), "google.monitoring.v3.TypedValue")
- proto.RegisterType((*TimeInterval)(nil), "google.monitoring.v3.TimeInterval")
- proto.RegisterType((*Aggregation)(nil), "google.monitoring.v3.Aggregation")
- proto.RegisterEnum("google.monitoring.v3.ComparisonType", ComparisonType_name, ComparisonType_value)
- proto.RegisterEnum("google.monitoring.v3.ServiceTier", ServiceTier_name, ServiceTier_value)
- proto.RegisterEnum("google.monitoring.v3.Aggregation_Aligner", Aggregation_Aligner_name, Aggregation_Aligner_value)
- proto.RegisterEnum("google.monitoring.v3.Aggregation_Reducer", Aggregation_Reducer_name, Aggregation_Reducer_value)
- }
-
- func init() {
- proto.RegisterFile("google/monitoring/v3/common.proto", fileDescriptor_common_a95521d463668240)
- }
-
- var fileDescriptor_common_a95521d463668240 = []byte{
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