dipstick/handbook/04_aggregation.md

aggregation

bucket

Aggregation is performed locklessly and is very fast. Count, sum, min, max and average are tracked where they make sense.

schedule

Aggregate metrics and schedule to be periodical publication in the background:

use std::time::Duration;

let app_metrics = metric_scope(aggregate());
route_aggregate_metrics(to_stdout());
app_metrics.flush_every(Duration::from_secs(3));

preset statistics

Published statistics can be selected with presets such as all_stats (see previous example), summary, average.

custom statistics

For more control over published statistics, provide your own strategy:

metrics(aggregate());
set_default_aggregate_fn(|_kind, name, score|
    match score {
        ScoreType::Count(count) => 
            Some((Kind::Counter, vec![name, ".per_thousand"], count / 1000)),
        _ => None
    });