stats

Documentation

Index

• type Aggregation
  • func NewAggregationFromGroup(g pb.ClientGroupedStats) Aggregation
  • func NewAggregationFromSpan(s *pb.Span, origin string, aggKey PayloadAggregationKey) Aggregation
• type BucketsAggregationKey
• type ClientStatsAggregator
  • func NewClientStatsAggregator(conf *config.AgentConfig, out chan pb.StatsPayload) *ClientStatsAggregator
  • func (a *ClientStatsAggregator) Start()
  • func (a *ClientStatsAggregator) Stop()
• type Concentrator
  • func NewConcentrator(conf *config.AgentConfig, out chan pb.StatsPayload, now time.Time) *Concentrator
  • func (c *Concentrator) Add(t Input)
  • func (c *Concentrator) Flush() pb.StatsPayload
  • func (c *Concentrator) Run()
  • func (c *Concentrator) Start()
  • func (c *Concentrator) Stop()
• type Input
  • func NewStatsInput(numChunks int, containerID string, clientComputedStats bool, ...) Input
• type PayloadAggregationKey
• type RawBucket
  • func NewRawBucket(ts, d uint64) *RawBucket
  • func (sb *RawBucket) Export() map[PayloadAggregationKey]pb.ClientStatsBucket
  • func (sb *RawBucket) HandleSpan(s *pb.Span, weight float64, isTop bool, origin string, ...)

Types

type Aggregation

type Aggregation struct {
	BucketsAggregationKey
	PayloadAggregationKey
}

Aggregation contains all the dimension on which we aggregate statistics.

func NewAggregationFromGroup

func NewAggregationFromGroup(g pb.ClientGroupedStats) Aggregation

NewAggregationFromGroup gets the Aggregation key of grouped stats.

func NewAggregationFromSpan

func NewAggregationFromSpan(s *pb.Span, origin string, aggKey PayloadAggregationKey) Aggregation

NewAggregationFromSpan creates a new aggregation from the provided span and env

type BucketsAggregationKey

type BucketsAggregationKey struct {
	Service    string
	Name       string
	Resource   string
	Type       string
	StatusCode uint32
	Synthetics bool
}

BucketsAggregationKey specifies the key by which a bucket is aggregated.

type ClientStatsAggregator

type ClientStatsAggregator struct {
	In chan pb.ClientStatsPayload
	// contains filtered or unexported fields
}

ClientStatsAggregator aggregates client stats payloads on buckets of bucketDuration If a single payload is received on a bucket, this Aggregator is a passthrough. If two or more payloads collide, their counts will be aggregated into one bucket. Multiple payloads will be sent: - Original payloads with their distributions will be sent with counts zeroed. - A single payload with the bucket aggregated counts will be sent. This and the aggregator timestamp alignment ensure that all counts will have at most one point per second per agent for a specific granularity. While distributions are not tied to the agent.

func NewClientStatsAggregator

func NewClientStatsAggregator(conf *config.AgentConfig, out chan pb.StatsPayload) *ClientStatsAggregator

NewClientStatsAggregator initializes a new aggregator ready to be started

func (*ClientStatsAggregator) Start

func (a *ClientStatsAggregator) Start()

Start starts the aggregator.

func (*ClientStatsAggregator) Stop

func (a *ClientStatsAggregator) Stop()

Stop stops the aggregator. Calling Stop twice will panic.

type Concentrator

type Concentrator struct {
	In  chan Input
	Out chan pb.StatsPayload
	// contains filtered or unexported fields
}

Concentrator produces time bucketed statistics from a stream of raw traces. https://en.wikipedia.org/wiki/Knelson_concentrator Gets an imperial shitton of traces, and outputs pre-computed data structures allowing to find the gold (stats) amongst the traces.

func NewConcentrator

func NewConcentrator(conf *config.AgentConfig, out chan pb.StatsPayload, now time.Time) *Concentrator

NewConcentrator initializes a new concentrator ready to be started

func (*Concentrator) Add

func (c *Concentrator) Add(t Input)

Add applies the given input to the concentrator.

func (*Concentrator) Flush

func (c *Concentrator) Flush() pb.StatsPayload

Flush deletes and returns complete statistic buckets

func (*Concentrator) Run

func (c *Concentrator) Run()

Run runs the main loop of the concentrator goroutine. Traces are received through `Add`, this loop only deals with flushing.

func (*Concentrator) Start

func (c *Concentrator) Start()

Start starts the concentrator.

func (*Concentrator) Stop

func (c *Concentrator) Stop()

Stop stops the main Run loop.

type Input

type Input struct {
	Traces      []traceutil.ProcessedTrace
	ContainerID string
}

Input specifies a set of traces originating from a certain payload.

func NewStatsInput

func NewStatsInput(numChunks int, containerID string, clientComputedStats bool, conf *config.AgentConfig) Input

NewStatsInput allocates a stats input for an incoming trace payload

type PayloadAggregationKey

type PayloadAggregationKey struct {
	Env         string
	Hostname    string
	Version     string
	ContainerID string
}

PayloadAggregationKey specifies the key by which a payload is aggregated.

type RawBucket

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

RawBucket is used to compute span data and aggregate it within a time-framed bucket. This should not be used outside the agent, use ClientStatsBucket for this.

func NewRawBucket

func NewRawBucket(ts, d uint64) *RawBucket

NewRawBucket opens a new calculation bucket for time ts and initializes it properly

func (*RawBucket) Export

func (sb *RawBucket) Export() map[PayloadAggregationKey]pb.ClientStatsBucket

Export transforms a RawBucket into a ClientStatsBucket, typically used before communicating data to the API, as RawBucket is the internal type while ClientStatsBucket is the public, shared one.

func (*RawBucket) HandleSpan

func (sb *RawBucket) HandleSpan(s *pb.Span, weight float64, isTop bool, origin string, aggKey PayloadAggregationKey)

HandleSpan adds the span to this bucket stats, aggregated with the finest grain matching given aggregators