metrics

Documentation

Index

• Variables
• func NewJaegerTraceProvider(serviceName, agentEndpoint string, sampleRatio float64) (*tracesdk.TracerProvider, error)
• func RecordCount(ctx context.Context, m *stats.Int64Measure, count int)
• func RecordDec(ctx context.Context, m *stats.Int64Measure)
• func RecordInc(ctx context.Context, m *stats.Int64Measure)
• func SinceInMilliseconds(startTime time.Time) float64
• func Timer(ctx context.Context, m *stats.Float64Measure) func()
• func WithTagValue(ctx context.Context, k tag.Key, v string) context.Context

Variables

var (
	Version, _   = tag.NewKey("version")
	TaskType, _  = tag.NewKey("task")     // name of task processor
	Job, _       = tag.NewKey("job")      // name of job
	JobType, _   = tag.NewKey("job_type") // type of job (walk, watch, fill, find, watch-notify, walk-notify, etc.)
	Name, _      = tag.NewKey("name")     // name of running instance of visor
	Table, _     = tag.NewKey("table")    // name of table data is persisted for
	ConnState, _ = tag.NewKey("conn_state")
	API, _       = tag.NewKey("api")        // name of method on lotus api
	ActorCode, _ = tag.NewKey("actor_code") // human readable code of actor being processed

	// distributed tipset worker
	QueueName = tag.MustNewKey("queue")
)

var (
	LilyInfo = stats.Int64("lily_info", "Arbitrary counter to tag lily info to", stats.UnitDimensionless)

	ProcessingDuration      = stats.Float64("processing_duration_ms", "Time taken to process a task", stats.UnitMilliseconds)
	StateExtractionDuration = stats.Float64("state_extraction_duration_ms", "Time taken to extract an actor state", stats.UnitMilliseconds)
	PersistDuration         = stats.Float64("persist_duration_ms", "Duration of a models persist operation", stats.UnitMilliseconds)
	PersistModel            = stats.Int64("persist_model", "Number of models persisted", stats.UnitDimensionless)
	DBConns                 = stats.Int64("db_conns", "Database connections held", stats.UnitDimensionless)
	TipsetHeight            = stats.Int64("tipset_height", "The height of the tipset being processed by a task", stats.UnitDimensionless)
	ProcessingFailure       = stats.Int64("processing_failure", "Number of processing failures", stats.UnitDimensionless)
	PersistFailure          = stats.Int64("persist_failure", "Number of persistence failures", stats.UnitDimensionless)
	WatchHeight             = stats.Int64("watch_height", "The height of the tipset last seen by the watch command", stats.UnitDimensionless)
	TipSetSkip              = stats.Int64("tipset_skip", "Number of tipsets that were not processed. This is is an indication that lily cannot keep up with chain.", stats.UnitDimensionless)
	JobStart                = stats.Int64("job_start", "Number of jobs started", stats.UnitDimensionless)
	JobRunning              = stats.Int64("job_running", "Numer of jobs currently running", stats.UnitDimensionless)
	JobComplete             = stats.Int64("job_complete", "Number of jobs completed without error", stats.UnitDimensionless)
	JobError                = stats.Int64("job_error", "Number of jobs stopped due to a fatal error", stats.UnitDimensionless)
	JobTimeout              = stats.Int64("job_timeout", "Number of jobs stopped due to taking longer than expected", stats.UnitDimensionless)
	TipSetCacheSize         = stats.Int64("tipset_cache_size", "Configured size of the tipset cache (aka confidence).", stats.UnitDimensionless)
	TipSetCacheDepth        = stats.Int64("tipset_cache_depth", "Number of tipsets currently in the tipset cache.", stats.UnitDimensionless)
	TipSetCacheEmptyRevert  = stats.Int64("tipset_cache_empty_revert", "Number of revert operations performed on an empty tipset cache. This is an indication that a chain reorg is underway that is deeper than the cache size and includes tipsets that have already been read from the cache.", stats.UnitDimensionless)
	WatcherActiveWorkers    = stats.Int64("watcher_active_workers", "Current number of tipset indexers executing", stats.UnitDimensionless)
	WatcherWaitingWorkers   = stats.Int64("watcher_waiting_workers", "Current number of tipset indexers waiting to execute", stats.UnitDimensionless)

	DataSourceSectorDiffCacheHit               = stats.Int64("data_source_sector_diff_cache_hit", "Number of cache hits for sector diff", stats.UnitDimensionless)
	DataSourceSectorDiffRead                   = stats.Int64("data_source_sector_diff_read", "Number of reads for sector diff", stats.UnitDimensionless)
	DataSourcePreCommitDiffCacheHit            = stats.Int64("data_source_precommit_diff_cache_hit", "Number of cache hits for precommit diff", stats.UnitDimensionless)
	DataSourcePreCommitDiffRead                = stats.Int64("data_source_precommit_diff_read", "Number of reads for precommit diff", stats.UnitDimensionless)
	DataSourceMessageExecutionRead             = stats.Int64("data_source_message_execution_read", "Number of reads for message executions", stats.UnitDimensionless)
	DataSourceMessageExecutionCacheHit         = stats.Int64("data_source_message_execution_cache_hit", "Number of cache hits for message executions", stats.UnitDimensionless)
	DataSourceExecutedAndBlockMessagesRead     = stats.Int64("data_source_executed_block_messages_read", "Number of reads for executed block messages", stats.UnitDimensionless)
	DataSourceExecutedAndBlockMessagesCacheHit = stats.Int64("data_source_executed_block_messages_cache_hig", "Number of cache hits for executed block messages", stats.UnitDimensionless)
	DataSourceActorStateChangesFastDiff        = stats.Int64("data_source_actor_state_changes_fast_diff", "Number of fast diff operations performed for actor state changes", stats.UnitDimensionless)
	DataSourceActorStateChangesSlowDiff        = stats.Int64("data_source_actor_state_changes_slow_diff", "Number of slow diff operations performed for actor state changes", stats.UnitDimensionless)

	TipSetWorkerConcurrency   = stats.Int64("tipset_worker_concurrency", "Concurrency of tipset worker", stats.UnitDimensionless)
	TipSetWorkerQueuePriority = stats.Int64("tipset_worker_queue_priority", "Priority of tipset worker queue", stats.UnitDimensionless)
)

var DefaultViews = []*view.View{
	{
		Measure:     LilyInfo,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{Version},
	},
	{
		Measure:     TipSetWorkerConcurrency,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{},
	},
	{
		Measure:     TipSetWorkerQueuePriority,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{QueueName},
	},
	{
		Measure:     DataSourceActorStateChangesFastDiff,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourceActorStateChangesSlowDiff,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourceMessageExecutionRead,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourceMessageExecutionCacheHit,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourceExecutedAndBlockMessagesRead,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourceExecutedAndBlockMessagesCacheHit,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourceSectorDiffCacheHit,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourceSectorDiffRead,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourcePreCommitDiffCacheHit,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     DataSourcePreCommitDiffRead,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, TaskType, Name},
	},
	{
		Measure:     ProcessingDuration,
		Aggregation: defaultMillisecondsDistribution,
		TagKeys:     []tag.Key{TaskType},
	},
	{
		Measure:     StateExtractionDuration,
		Aggregation: defaultMillisecondsDistribution,
		TagKeys:     []tag.Key{TaskType, ActorCode},
	},
	{
		Measure:     PersistDuration,
		Aggregation: defaultMillisecondsDistribution,
		TagKeys:     []tag.Key{TaskType, Table, ActorCode},
	},
	{
		Measure:     DBConns,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{ConnState},
	},
	{
		Measure:     TipsetHeight,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{TaskType, Job},
	},
	{
		Name:        ProcessingFailure.Name() + "_total",
		Measure:     ProcessingFailure,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{TaskType, ActorCode},
	},
	{
		Name:        PersistFailure.Name() + "_total",
		Measure:     PersistFailure,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{TaskType, Table, ActorCode},
	},
	{
		Measure:     WatchHeight,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{Job},
	},
	{
		Name:        TipSetSkip.Name() + "_total",
		Measure:     TipSetSkip,
		Aggregation: view.Sum(),
		TagKeys:     []tag.Key{Job},
	},
	{
		Measure:     JobRunning,
		Aggregation: view.Sum(),
		TagKeys:     []tag.Key{Job, JobType},
	},
	{
		Name:        JobStart.Name() + "_total",
		Measure:     JobStart,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, JobType},
	},
	{
		Name:        JobComplete.Name() + "_total",
		Measure:     JobComplete,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, JobType},
	},
	{
		Name:        JobError.Name() + "_total",
		Measure:     JobError,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, JobType},
	},
	{
		Name:        JobTimeout.Name() + "_total",
		Measure:     JobTimeout,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{Job, JobType},
	},

	{
		Name:        PersistModel.Name() + "_total",
		Measure:     PersistModel,
		Aggregation: view.Count(),
		TagKeys:     []tag.Key{TaskType, Table},
	},

	{
		Measure:     TipSetCacheSize,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{Job},
	},
	{
		Measure:     TipSetCacheDepth,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{Job},
	},
	{
		Name:        TipSetCacheEmptyRevert.Name() + "_total",
		Measure:     TipSetCacheEmptyRevert,
		Aggregation: view.Sum(),
		TagKeys:     []tag.Key{Job},
	},
	{
		Measure:     WatcherActiveWorkers,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{Job},
	},
	{
		Measure:     WatcherWaitingWorkers,
		Aggregation: view.LastValue(),
		TagKeys:     []tag.Key{Job},
	},
}

Functions

func NewJaegerTraceProvider

func NewJaegerTraceProvider(serviceName, agentEndpoint string, sampleRatio float64) (*tracesdk.TracerProvider, error)

NewJaegerTraceProvider returns a new and configured TracerProvider backed by Jaeger.

func RecordCount

func RecordCount(ctx context.Context, m *stats.Int64Measure, count int)

RecordCount is a convenience function that increments a counter by a count.

func RecordDec

func RecordDec(ctx context.Context, m *stats.Int64Measure)

RecordDec is a convenience function that decrements a counter.

func RecordInc

func RecordInc(ctx context.Context, m *stats.Int64Measure)

RecordInc is a convenience function that increments a counter.

func SinceInMilliseconds

func SinceInMilliseconds(startTime time.Time) float64

SinceInMilliseconds returns the duration of time since the provide time as a float64.

func Timer

func Timer(ctx context.Context, m *stats.Float64Measure) func()

Timer is a function stopwatch, calling it starts the timer, calling the returned function will record the duration.

func WithTagValue

func WithTagValue(ctx context.Context, k tag.Key, v string) context.Context

WithTagValue is a convenience function that upserts the tag value in the given context.