Safe Haskell	None
Language	Haskell2010

Data.Metrics.Types

Description

The main accessors for common stateful metric implementation data.

Synopsis

type Minutes = Int
class Count (b :: * -> *) m a | m -> b, a -> b where
- count :: a -> m Int
class Rate (b :: * -> *) m a | m -> b, a -> b where
- oneMinuteRate :: a -> m Double
- fiveMinuteRate :: a -> m Double
- fifteenMinuteRate :: a -> m Double
- meanRate :: a -> m Double
class Value (b :: * -> *) m a v | m -> b, a -> b v where
- value :: a -> m v
class Set (b :: * -> *) m a v | m -> b, a -> b v where
- set :: a -> v -> m ()
class Clear (b :: * -> *) m a | m -> b, a -> b where
- clear :: a -> m ()
class Statistics (b :: * -> *) m a | m -> b, a -> b where
- maxVal :: a -> m Double
- minVal :: a -> m Double
- mean :: a -> m Double
- stddev :: a -> m Double
- variance :: a -> m Double
class Update (b :: * -> *) m a v | m -> b, a -> b v where
- update :: a -> v -> m ()
class TakeSnapshot (b :: * -> *) m a | m -> b, a -> b where
- snapshot :: a -> m Snapshot

Documentation

type Minutes = Int #

Histogram moving averages are tracked (by default) on minute scale.

class Count (b :: * -> *) m a | m -> b, a -> b where #

Get the current count for the given metric.

Methods

count :: a -> m Int #

retrieve a count

Instances

(MonadBase b m, PrimMonad b) => Count b m (Timer b) #
Instance details Defined in Data.Metrics.Timer Methods count :: Timer b -> m Int #
(MonadBase b m, PrimMonad m) => Count b m (Meter m) #
Instance details Defined in Data.Metrics.Meter Methods count :: Meter m -> m Int #
(MonadBase b m, PrimMonad b) => Count b m (Histogram b) #
Instance details Defined in Data.Metrics.Histogram Methods count :: Histogram b -> m Int #
(MonadBase b m, PrimMonad b) => Count b m (Counter b) #
Instance details Defined in Data.Metrics.Counter Methods count :: Counter b -> m Int #

class Rate (b :: * -> *) m a | m -> b, a -> b where #

Provides statistics from a histogram that tracks the standard moving average rates.

Methods

oneMinuteRate :: a -> m Double #

Get the average rate of occurrence for some sort of event for the past minute.

fiveMinuteRate :: a -> m Double #

Get the average rate of occurrence for some sort of event for the past five minutes.

fifteenMinuteRate :: a -> m Double #

Get the average rate of occurrence for some sort of event for the past fifteen minutes.

meanRate :: a -> m Double #

Get the mean rate of occurrence for some sort of event for the entirety of the time that a has existed.

Instances

Rate IO IO (Meter IO) #
Instance details Defined in Data.Metrics.Meter Methods oneMinuteRate :: Meter IO -> IO Double # fiveMinuteRate :: Meter IO -> IO Double # fifteenMinuteRate :: Meter IO -> IO Double # meanRate :: Meter IO -> IO Double #
(MonadBase b m, PrimMonad b) => Rate b m (Timer b) #
Instance details Defined in Data.Metrics.Timer Methods oneMinuteRate :: Timer b -> m Double # fiveMinuteRate :: Timer b -> m Double # fifteenMinuteRate :: Timer b -> m Double # meanRate :: Timer b -> m Double #

class Value (b :: * -> *) m a v | m -> b, a -> b v where #

Gets the current value from a simple metric (i.e. a Counter or a Gauge)

Methods

value :: a -> m v #

Instances

(MonadBase b m, PrimMonad b) => Value b m (Gauge b) Double #
Instance details Defined in Data.Metrics.Gauge Methods value :: Gauge b -> m Double #
(MonadBase b m, PrimMonad b) => Value b m (Counter b) Int #
Instance details Defined in Data.Metrics.Counter Methods value :: Counter b -> m Int #

class Set (b :: * -> *) m a v | m -> b, a -> b v where #

Update a metric by performing wholesale replacement of a value.

Methods

set :: a -> v -> m () #

Replace the current value of a simple metric (i.e. a Counter or a Gauge)

Instances

(MonadBase b m, PrimMonad b) => Set b m (Counter b) Int #
Instance details Defined in Data.Metrics.Counter Methods set :: Counter b -> Int -> m () #
(MonadBase b m, PrimMonad b) => Set b m (Gauge b) (b Double) #
Instance details Defined in Data.Metrics.Gauge Methods set :: Gauge b -> b Double -> m () #

class Clear (b :: * -> *) m a | m -> b, a -> b where #

Provides a way to reset metrics. This might be useful in a development environment or to periodically get a clean state for long-running processes.

Methods

clear :: a -> m () #

Reset the metric to an empty state. In practice, this should be equivalent to creating a new metric of the same type in-place.

Instances

(MonadBase b m, PrimMonad b) => Clear b m (Timer b) #
Instance details Defined in Data.Metrics.Timer Methods clear :: Timer b -> m () #
(MonadBase b m, PrimMonad b) => Clear b m (Histogram b) #
Instance details Defined in Data.Metrics.Histogram Methods clear :: Histogram b -> m () #
(MonadBase b m, PrimMonad b) => Clear b m (Counter b) #
Instance details Defined in Data.Metrics.Counter Methods clear :: Counter b -> m () #

class Statistics (b :: * -> *) m a | m -> b, a -> b where #

Provides the main interface for retrieving statistics tabulated by a histogram.

Methods

maxVal :: a -> m Double #

Gets the highest value encountered thus far.

minVal :: a -> m Double #

Gets the lowest value encountered thus far.

mean :: a -> m Double #

Gets the current average value. This may have slightly different meanings depending on the type of MovingAverage used.

stddev :: a -> m Double #

Gets the standard deviation of all values encountered this var.

variance :: a -> m Double #

Gets the variance of all values encountered this var.

Instances

(MonadBase b m, PrimMonad b) => Statistics b m (Timer b) #
Instance details Defined in Data.Metrics.Timer Methods maxVal :: Timer b -> m Double # minVal :: Timer b -> m Double # mean :: Timer b -> m Double # stddev :: Timer b -> m Double # variance :: Timer b -> m Double #
(MonadBase b m, PrimMonad b) => Statistics b m (Histogram b) #
Instance details Defined in Data.Metrics.Histogram Methods maxVal :: Histogram b -> m Double # minVal :: Histogram b -> m Double # mean :: Histogram b -> m Double # stddev :: Histogram b -> m Double # variance :: Histogram b -> m Double #

class Update (b :: * -> *) m a v | m -> b, a -> b v where #

Update statistics tracked by a metric with a new sample.

Methods

update :: a -> v -> m () #

Feed a metric another value.

Instances

(MonadBase b m, PrimMonad b) => Update b m (Timer b) Double #
Instance details Defined in Data.Metrics.Timer Methods update :: Timer b -> Double -> m () #
(MonadBase b m, PrimMonad b) => Update b m (Histogram b) Double #
Instance details Defined in Data.Metrics.Histogram Methods update :: Histogram b -> Double -> m () #

class TakeSnapshot (b :: * -> *) m a | m -> b, a -> b where #

Take a snapshot (a sorted vector) of samples used for calculating quantile data.

Methods

snapshot :: a -> m Snapshot #

Get a sample of the values currently in a histogram or type that contains a histogram.

Instances

(MonadBase b m, PrimMonad b) => TakeSnapshot b m (Timer b) #
Instance details Defined in Data.Metrics.Timer Methods snapshot :: Timer b -> m Snapshot #
(MonadBase b m, PrimMonad b) => TakeSnapshot b m (Histogram b) #
Instance details Defined in Data.Metrics.Histogram Methods snapshot :: Histogram b -> m Snapshot #