output

type Manager ¶

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

Manager can be used to manage multiple outputs at the same time.

func NewManager(outputs []Output, logger logrus.FieldLogger, testStopCallback func(error)) *Manager

func (om *Manager) AddMetricSamples(sampleContainers []workerMetrics.SampleContainer)

func (om *Manager) SetRunStatus(status libWorker.RunStatus)

func (om *Manager) StartOutputs() error

func (om *Manager) StopOutputs()

type Output ¶

type Output interface {
	// Returns a human-readable description of the output that will be shown in
	// `k6 run`. For extensions it probably should include the version as well.
	Description() string

	// Start is called before the Engine tries to use the output and should be
	// used for any long initialization tasks, as well as for starting a
	// goroutine to asynchronously flush metrics to the output.
	Start() error

	// A method to receive the latest metric samples from the Engine. This
	// method is never called concurrently, so do not do anything blocking here
	// that might take a long time. Preferably, just use the SampleBuffer or
	// something like it to buffer metrics until they are flushed.
	AddMetricSamples(samples []workerMetrics.SampleContainer)

	// Flush all remaining metrics and finalize the test run.
	Stop() error
}

An Output abstracts the process of funneling samples to an external storage backend, such as a file or something like an InfluxDB instance.

N.B: All outputs should have non-blocking AddMetricSamples() methods and should spawn their own goroutine to flush metrics asynchronously.

type PeriodicFlusher ¶

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

PeriodicFlusher is a small helper for asynchronously flushing buffered metric samples on regular intervals. The biggest benefit is having a Stop() method that waits for one last flush before it returns.

func NewPeriodicFlusher(period time.Duration, flushCallback func()) (*PeriodicFlusher, error)

func (pf *PeriodicFlusher) Stop()

type SampleBuffer ¶

type SampleBuffer struct {
	sync.Mutex
	// contains filtered or unexported fields
}

SampleBuffer is a simple thread-safe buffer for metric samples. It should be used by most outputs, since we generally want to flush metric samples to the remote service asynchronously. We want to do it only every several seconds, and we don't want to block the Engine in the meantime.

func (sc *SampleBuffer) AddMetricSamples(samples []workerMetrics.SampleContainer)

func (sc *SampleBuffer) GetBufferedSamples() []workerMetrics.SampleContainer

type WithBuiltinMetrics ¶

type WithBuiltinMetrics interface {
	Output
	SetBuiltinMetrics(builtinMetrics *workerMetrics.BuiltinMetrics)
}

WithBuiltinMetrics means the output can receive the builtin workerMetrics.

type WithRunStatusUpdates ¶

type WithRunStatusUpdates interface {
	Output
	SetRunStatus(latestStatus libWorker.RunStatus)
}

WithRunStatusUpdates means the output can receive test run status updates.

type WithTestRunStop ¶

type WithTestRunStop interface {
	Output
	SetTestRunStopCallback(func(error))
}

WithTestRunStop is an output that can stop the Engine mid-test, interrupting the whole test run execution if some internal condition occurs, completely independently from the thresholds. It requires a callback function which expects an error and triggers the Engine to stop.

type WithThresholds ¶

type WithThresholds interface {
	Output
	SetThresholds(map[string]workerMetrics.Thresholds)
}

WithThresholds is an output that requires the Engine to give it the thresholds before it can be started.