|
| 1 | +/* |
| 2 | + The benchmark results: |
| 3 | + criterion = "0.5.1" |
| 4 | + OS: Ubuntu 22.04.4 LTS (5.15.153.1-microsoft-standard-WSL2) |
| 5 | + Hardware: Intel(R) Xeon(R) Platinum 8370C CPU @ 2.80GHz, 16vCPUs, |
| 6 | + RAM: 64.0 GB |
| 7 | + | Test | Average time| |
| 8 | + |--------------------------------|-------------| |
| 9 | + | Histogram_Record | 509.21 ns | |
| 10 | +
|
| 11 | +*/ |
| 12 | + |
| 13 | +use criterion::{criterion_group, criterion_main, Criterion}; |
| 14 | +use opentelemetry::{ |
| 15 | + metrics::{Histogram, MeterProvider as _}, |
| 16 | + KeyValue, |
| 17 | +}; |
| 18 | +use opentelemetry_sdk::metrics::{ManualReader, SdkMeterProvider}; |
| 19 | +use pprof::criterion::{Output, PProfProfiler}; |
| 20 | +use rand::{ |
| 21 | + rngs::{self}, |
| 22 | + Rng, SeedableRng, |
| 23 | +}; |
| 24 | +use std::cell::RefCell; |
| 25 | + |
| 26 | +thread_local! { |
| 27 | + /// Store random number generator for each thread |
| 28 | + static CURRENT_RNG: RefCell<rngs::SmallRng> = RefCell::new(rngs::SmallRng::from_entropy()); |
| 29 | +} |
| 30 | + |
| 31 | +static ATTRIBUTE_VALUES: [&str; 10] = [ |
| 32 | + "value1", "value2", "value3", "value4", "value5", "value6", "value7", "value8", "value9", |
| 33 | + "value10", |
| 34 | +]; |
| 35 | + |
| 36 | +// Run this benchmark with: |
| 37 | +// cargo bench --bench metric_histogram |
| 38 | +fn create_histogram(name: &'static str) -> Histogram<u64> { |
| 39 | + let meter_provider: SdkMeterProvider = SdkMeterProvider::builder() |
| 40 | + .with_reader(ManualReader::builder().build()) |
| 41 | + .build(); |
| 42 | + let meter = meter_provider.meter("benchmarks"); |
| 43 | + |
| 44 | + meter.u64_histogram(name).init() |
| 45 | +} |
| 46 | + |
| 47 | +fn criterion_benchmark(c: &mut Criterion) { |
| 48 | + histogram_record(c); |
| 49 | +} |
| 50 | + |
| 51 | +fn histogram_record(c: &mut Criterion) { |
| 52 | + let histogram = create_histogram("Histogram_Record"); |
| 53 | + c.bench_function("Histogram_Record", |b| { |
| 54 | + b.iter(|| { |
| 55 | + // 4*4*10*10 = 1600 time series. |
| 56 | + let rands = CURRENT_RNG.with(|rng| { |
| 57 | + let mut rng = rng.borrow_mut(); |
| 58 | + [ |
| 59 | + rng.gen_range(0..4), |
| 60 | + rng.gen_range(0..4), |
| 61 | + rng.gen_range(0..10), |
| 62 | + rng.gen_range(0..10), |
| 63 | + ] |
| 64 | + }); |
| 65 | + let index_first_attribute = rands[0]; |
| 66 | + let index_second_attribute = rands[1]; |
| 67 | + let index_third_attribute = rands[2]; |
| 68 | + let index_fourth_attribute = rands[3]; |
| 69 | + histogram.record( |
| 70 | + 1, |
| 71 | + &[ |
| 72 | + KeyValue::new("attribute1", ATTRIBUTE_VALUES[index_first_attribute]), |
| 73 | + KeyValue::new("attribute2", ATTRIBUTE_VALUES[index_second_attribute]), |
| 74 | + KeyValue::new("attribute3", ATTRIBUTE_VALUES[index_third_attribute]), |
| 75 | + KeyValue::new("attribute4", ATTRIBUTE_VALUES[index_fourth_attribute]), |
| 76 | + ], |
| 77 | + ); |
| 78 | + }); |
| 79 | + }); |
| 80 | +} |
| 81 | + |
| 82 | +#[cfg(not(target_os = "windows"))] |
| 83 | +criterion_group! { |
| 84 | + name = benches; |
| 85 | + config = Criterion::default().with_profiler(PProfProfiler::new(100, Output::Flamegraph(None))); |
| 86 | + targets = criterion_benchmark |
| 87 | +} |
| 88 | +#[cfg(target_os = "windows")] |
| 89 | +criterion_group! { |
| 90 | + name = benches; |
| 91 | + config = Criterion::default(); |
| 92 | + targets = criterion_benchmark |
| 93 | +} |
| 94 | +criterion_main!(benches); |
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