ts

package
v0.15.0-rc.1 Latest Latest
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 Go to latest Published: Feb 24, 2020 License: Apache-2.0 Imports: 5 Imported by: 43

Documentation

Overview

Package ts is a generated GoMock package.

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type AlignedDatapoints added in v0.15.0 

type AlignedDatapoints []Datapoints

AlignedDatapoints is a list of aligned datapoints.

type Datapoint 

type Datapoint struct {
	Timestamp time.Time
	Value     float64
}

A Datapoint is a single data value reported at a given time.

type Datapoints 

type Datapoints []Datapoint

Datapoints is a list of datapoints.

func (Datapoints) AlignToBounds added in v0.4.6 

func (d Datapoints) AlignToBounds(
	bounds models.Bounds,
	lookbackDuration time.Duration,
	buffer AlignedDatapoints,
) AlignedDatapoints

AlignToBounds returns values aligned to given bounds. To belong to a step, values should be <= stepTime and not stale.

func (Datapoints) AlignToBoundsNoWriteForward added in v0.6.0 

func (d Datapoints) AlignToBoundsNoWriteForward(
	bounds models.Bounds,
	lookbackDuration time.Duration,
	buffer AlignedDatapoints,
) AlignedDatapoints

AlignToBoundsNoWriteForward returns values aligned to the start time and duration, but does not write points forward after aligning them. This differs from AlignToBounds which will write points forwards if no additional values are found in the values, adding an empty point instead.

func (Datapoints) DatapointAt 

func (d Datapoints) DatapointAt(n int) Datapoint

DatapointAt returns the value at the nth element.

func (Datapoints) Datapoints added in v0.4.6 

func (d Datapoints) Datapoints() []Datapoint

Datapoints returns all the datapoints.

func (Datapoints) Len 

func (d Datapoints) Len() int

Len is the length of the array.

func (Datapoints) Reset added in v0.15.0 

func (d Datapoints) Reset(values []float64) []float64

Reset resets the passed in value slice with the current value representation.

func (Datapoints) ValueAt 

func (d Datapoints) ValueAt(n int) float64

ValueAt returns the value at the nth element.

func (Datapoints) Values added in v0.4.6 

func (d Datapoints) Values() []float64

Values returns the values representation.

type FixedResolutionMutableValues 

type FixedResolutionMutableValues interface {
	MutableValues
	Resolution() time.Duration
	StepAtTime(t time.Time) int
	StartTimeForStep(n int) time.Time
	// Time when the series starts
	StartTime() time.Time
}

FixedResolutionMutableValues are mutable values with fixed resolution between steps

func NewFixedStepValues 

func NewFixedStepValues(
	resolution time.Duration,
	numSteps int,
	initialValue float64,
	startTime time.Time,
) FixedResolutionMutableValues

NewFixedStepValues returns mutable values with fixed resolution TODO: remove this.

type MockValues added in v0.10.0 

type MockValues struct {
	// contains filtered or unexported fields
}

MockValues is a mock of Values interface

func NewMockValues added in v0.10.0 

func NewMockValues(ctrl *gomock.Controller) *MockValues

NewMockValues creates a new mock instance

func (*MockValues) AlignToBounds added in v0.10.0 

func (m *MockValues) AlignToBounds(arg0 models.Bounds, arg1 time.Duration, arg2 AlignedDatapoints) AlignedDatapoints

AlignToBounds mocks base method

func (*MockValues) AlignToBoundsNoWriteForward added in v0.10.0 

func (m *MockValues) AlignToBoundsNoWriteForward(arg0 models.Bounds, arg1 time.Duration, arg2 AlignedDatapoints) AlignedDatapoints

AlignToBoundsNoWriteForward mocks base method

func (*MockValues) DatapointAt added in v0.10.0 

func (m *MockValues) DatapointAt(arg0 int) Datapoint

DatapointAt mocks base method

func (*MockValues) Datapoints added in v0.10.0 

func (m *MockValues) Datapoints() []Datapoint

Datapoints mocks base method

func (*MockValues) EXPECT added in v0.10.0 

func (m *MockValues) EXPECT() *MockValuesMockRecorder

EXPECT returns an object that allows the caller to indicate expected use

func (*MockValues) Len added in v0.10.0 

func (m *MockValues) Len() int

Len mocks base method

func (*MockValues) ValueAt added in v0.10.0 

func (m *MockValues) ValueAt(arg0 int) float64

ValueAt mocks base method

type MockValuesMockRecorder added in v0.10.0 

type MockValuesMockRecorder struct {
	// contains filtered or unexported fields
}

MockValuesMockRecorder is the mock recorder for MockValues

func (*MockValuesMockRecorder) AlignToBounds added in v0.10.0 

func (mr *MockValuesMockRecorder) AlignToBounds(arg0, arg1, arg2 interface{}) *gomock.Call

AlignToBounds indicates an expected call of AlignToBounds

func (*MockValuesMockRecorder) AlignToBoundsNoWriteForward added in v0.10.0 

func (mr *MockValuesMockRecorder) AlignToBoundsNoWriteForward(arg0, arg1, arg2 interface{}) *gomock.Call

AlignToBoundsNoWriteForward indicates an expected call of AlignToBoundsNoWriteForward

func (*MockValuesMockRecorder) DatapointAt added in v0.10.0 

func (mr *MockValuesMockRecorder) DatapointAt(arg0 interface{}) *gomock.Call

DatapointAt indicates an expected call of DatapointAt

func (*MockValuesMockRecorder) Datapoints added in v0.10.0 

func (mr *MockValuesMockRecorder) Datapoints() *gomock.Call

Datapoints indicates an expected call of Datapoints

func (*MockValuesMockRecorder) Len added in v0.10.0 

func (mr *MockValuesMockRecorder) Len() *gomock.Call

Len indicates an expected call of Len

func (*MockValuesMockRecorder) ValueAt added in v0.10.0 

func (mr *MockValuesMockRecorder) ValueAt(arg0 interface{}) *gomock.Call

ValueAt indicates an expected call of ValueAt

type MutableValues 

type MutableValues interface {
	Values

	// Sets the value at the given entry
	SetValueAt(n int, v float64)
}

MutableValues is the interface for values that can be updated

type Series 

type Series struct {
	Tags models.Tags
	// contains filtered or unexported fields
}

Series is the public interface to a block of timeseries values. Each block has a start time, a logical number of steps, and a step size indicating the number of milliseconds represented by each point.

func NewSeries 

func NewSeries(name []byte, vals Values, tags models.Tags) *Series

NewSeries creates a new Series at a given start time, backed by the provided values.

func (*Series) Len 

func (s *Series) Len() int

Len returns the number of values in the time series. Used for aggregation.

func (*Series) Name 

func (s *Series) Name() []byte

Name returns the name of the timeseries block

func (*Series) Values 

func (s *Series) Values() Values

Values returns the underlying values interface.

type SeriesList 

type SeriesList []*Series

SeriesList represents a slice of series pointers.

type Values 

type Values interface {
	// Len returns the number of values present
	Len() int

	// ValueAt returns the value at the nth element
	ValueAt(n int) float64

	// DatapointAt returns the datapoint at the nth element
	DatapointAt(n int) Datapoint

	// Datapoints returns all the datapoints
	Datapoints() []Datapoint

	// AlignToBounds returns values aligned to given bounds. To belong to a step,
	// values should be <= stepTime and not stale. Takes an optional buffer to
	// allow for memory re-use.
	AlignToBounds(
		bounds models.Bounds,
		lookbackDuration time.Duration,
		buffer AlignedDatapoints,
	) AlignedDatapoints

	// AlignToBoundsNoWriteForward returns values aligned to the start time
	// and duration, but does not write points forward after aligning them. This
	// differs from AlignToBounds which will write points forwards if no
	// additional values are found in the values, adding an empty point instead.
	// Takes an optional buffer to allow for memory re-use.
	AlignToBoundsNoWriteForward(
		bounds models.Bounds,
		lookbackDuration time.Duration,
		buffer AlignedDatapoints,
	) AlignedDatapoints
}

Values holds the values for a timeseries. It provides a minimal interface for storing and retrieving values in the series, with Series providing a more convenient interface for applications to build on top of. Values objects are not specific to a given time, allowing them to be pre-allocated, pooled, and re-used across multiple series. There are multiple implementations of Values so that we can optimize storage based on the density of the series.

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