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| 1 | +use criterion::{ |
| 2 | + black_box, criterion_group, criterion_main, measurement::WallTime, BenchmarkGroup, BenchmarkId, |
| 3 | + Criterion, Throughput, |
| 4 | +}; |
| 5 | +use opentelemetry::{ |
| 6 | + trace::{SpanContext, TraceContextExt}, |
| 7 | + Context, |
| 8 | +}; |
| 9 | + |
| 10 | +// Run this benchmark with: |
| 11 | +// cargo bench --bench current_context |
| 12 | + |
| 13 | +fn criterion_benchmark(c: &mut Criterion) { |
| 14 | + let span_context = Context::new().with_remote_span_context(SpanContext::empty_context()); |
| 15 | + let contexts = vec![ |
| 16 | + ("empty_cx", Context::new()), |
| 17 | + ("single_value_cx", Context::new().with_value(Value(4711))), |
| 18 | + ("span_cx", span_context), |
| 19 | + ]; |
| 20 | + for (name, cx) in contexts { |
| 21 | + single_cx_scope(&mut group(c), name, &cx); |
| 22 | + nested_cx_scope(&mut group(c), name, &cx); |
| 23 | + overlapping_cx_scope(&mut group(c), name, &cx); |
| 24 | + } |
| 25 | +} |
| 26 | + |
| 27 | +fn single_cx_scope( |
| 28 | + group: &mut BenchmarkGroup<'_, WallTime>, |
| 29 | + context_type: &str, |
| 30 | + context: &Context, |
| 31 | +) { |
| 32 | + let _restore = Context::current().attach(); |
| 33 | + group.throughput(Throughput::Elements(1)).bench_function( |
| 34 | + BenchmarkId::new("single_cx_scope", context_type), |
| 35 | + |b| { |
| 36 | + b.iter_batched( |
| 37 | + || context.clone(), |
| 38 | + |cx| { |
| 39 | + single_cx(cx); |
| 40 | + }, |
| 41 | + criterion::BatchSize::SmallInput, |
| 42 | + ); |
| 43 | + }, |
| 44 | + ); |
| 45 | +} |
| 46 | + |
| 47 | +#[inline(never)] |
| 48 | +fn single_cx(cx: Context) { |
| 49 | + let _ = black_box(cx.attach()); |
| 50 | + let _ = black_box(dummy_work()); |
| 51 | +} |
| 52 | + |
| 53 | +fn nested_cx_scope(group: &mut BenchmarkGroup<'_, WallTime>, cx_type: &str, context: &Context) { |
| 54 | + let _restore = Context::current().attach(); |
| 55 | + group.throughput(Throughput::Elements(1)).bench_function( |
| 56 | + BenchmarkId::new("nested_cx_scope", cx_type), |
| 57 | + |b| { |
| 58 | + b.iter_batched( |
| 59 | + || (context.clone(), context.clone()), |
| 60 | + |(cx1, cx2)| { |
| 61 | + nested_cx(cx1, cx2); |
| 62 | + }, |
| 63 | + criterion::BatchSize::SmallInput, |
| 64 | + ); |
| 65 | + }, |
| 66 | + ); |
| 67 | +} |
| 68 | + |
| 69 | +#[inline(never)] |
| 70 | +fn nested_cx(cx1: Context, cx2: Context) { |
| 71 | + let _ = black_box(cx1.attach()); |
| 72 | + let _ = black_box(cx2.attach()); |
| 73 | + let _ = black_box(dummy_work()); |
| 74 | +} |
| 75 | + |
| 76 | +fn overlapping_cx_scope( |
| 77 | + group: &mut BenchmarkGroup<'_, WallTime>, |
| 78 | + cx_type: &str, |
| 79 | + context: &Context, |
| 80 | +) { |
| 81 | + let _restore = Context::current().attach(); |
| 82 | + group.throughput(Throughput::Elements(1)).bench_function( |
| 83 | + BenchmarkId::new("overlapping_cx_scope", cx_type), |
| 84 | + |b| { |
| 85 | + b.iter_batched( |
| 86 | + || (context.clone(), context.clone()), |
| 87 | + |(cx1, cx2)| { |
| 88 | + overlapping_cx(cx1, cx2); |
| 89 | + }, |
| 90 | + criterion::BatchSize::SmallInput, |
| 91 | + ); |
| 92 | + }, |
| 93 | + ); |
| 94 | +} |
| 95 | + |
| 96 | +#[inline(never)] |
| 97 | +fn overlapping_cx(cx1: Context, cx2: Context) { |
| 98 | + let outer = cx1.attach(); |
| 99 | + let inner = cx2.attach(); |
| 100 | + let _ = black_box(dummy_work()); |
| 101 | + drop(outer); |
| 102 | + drop(inner); |
| 103 | +} |
| 104 | + |
| 105 | +#[inline(never)] |
| 106 | +fn dummy_work() -> i32 { |
| 107 | + black_box(1 + 1) |
| 108 | +} |
| 109 | + |
| 110 | +fn group(c: &mut Criterion) -> BenchmarkGroup<WallTime> { |
| 111 | + c.benchmark_group("context_attach") |
| 112 | +} |
| 113 | + |
| 114 | +#[derive(Debug, PartialEq)] |
| 115 | +struct Value(i32); |
| 116 | + |
| 117 | +criterion_group!(benches, criterion_benchmark); |
| 118 | + |
| 119 | +criterion_main!(benches); |
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