Module stats::prelude

A "prelude" of stats crate.

This prelude is similar to the standard library's prelude in that you'll almost always want to import its entire contents, but unlike the standard library's prelude you'll have to do so manually:

use stats::prelude::*;

Macros

define_stats	The macro to define STATS module that contains static variables, one per counter you want to export. This is the main and recomended way to interact with statistics provided by this crate. If non empty prefix is passed then the exported counter name will be "{prefix}.{name}"
define_stats_struct	Define a group of stats with dynamic names all parameterized by the same set of parameters. The intention is that when setting up a structure for some entity with associated stats, then the type produced by this macro can be included in that structure, and initialized with the appropriate name(s). This is more efficient than using single static "dynamic_" versions of the counters.

Traits

Counter	Counter is the simplest type of aggregated stat, it behaves as a single number that can be incremented.
CounterStatic
DynamicCounter	Similar to the Counter trait, but accepts the args parameter for accessing dynamic counters created at runtime.
DynamicHistogram	Similar to the Histogram trait, but accepts the args parameter for accessing dynamic histograms created at runtime.
DynamicSingletonCounter	Similar to the SingletonCounter trait, but accepts the args parameter for accessing dynamic histograms created at runtime.
DynamicTimeseries	Similar to Timeseries trait, but accepts the args parameter for accessing dynamic timeseries created in runtime.
Histogram	Histogram is a type of stat that can aggregate data send to it into predefined buckets. Example aggregations are average, sum or P50 (percentile). The aggregation should also happen on an interval basis, since its rarely useful to see aggregated all-time stats of a service running for many days.
HistogramStatic
Timeseries	Timeseries is a type of stat that can aggregate data send to it into predefined intervals of time. Example aggregations are average, sum or rate.
TimeseriesStatic