|
| 1 | +/* |
| 2 | + Span Creation scenarios. |
| 3 | + This benchmark measures the performance cost of different |
| 4 | + span creation patterns in OpenTelemetry when using On/Off |
| 5 | + sampling strategies. |
| 6 | +
|
| 7 | + TODO: Cover the impact of the presence of ActiveSpan in the context. |
| 8 | +
|
| 9 | + The benchmark results: |
| 10 | + criterion = "0.5.1" |
| 11 | + rustc 1.83.0 (90b35a623 2024-11-26) |
| 12 | + Hardware: M4Pro |
| 13 | + | Test | Always Sample | Never Sample | |
| 14 | + |-------------------------------------------------------|---------------|--------------| |
| 15 | + | span-creation-simple | 236.38 ns | 77.155 ns | |
| 16 | + | span-creation-span-builder | 234.48 ns | 109.22 ns | |
| 17 | + | span-creation-tracer-in-span | 417.24 ns | 221.93 ns | |
| 18 | + | span-creation-simple-context-activation | 408.40 ns | 59.426 ns | |
| 19 | + | span-creation-span-builder-context-activation | 414.39 ns | 90.575 ns | |
| 20 | +*/ |
| 21 | + |
| 22 | +use criterion::{criterion_group, criterion_main, Criterion}; |
| 23 | +use opentelemetry::{ |
| 24 | + trace::{mark_span_as_active, Span, TraceContextExt, Tracer, TracerProvider}, |
| 25 | + Context, KeyValue, |
| 26 | +}; |
| 27 | +use opentelemetry_sdk::{ |
| 28 | + error::OTelSdkResult, |
| 29 | + trace::{self as sdktrace, SpanData, SpanExporter}, |
| 30 | +}; |
| 31 | +#[cfg(not(target_os = "windows"))] |
| 32 | +use pprof::criterion::{Output, PProfProfiler}; |
| 33 | + |
| 34 | +fn criterion_benchmark(c: &mut Criterion) { |
| 35 | + trace_benchmark_group(c, "span-creation-simple", |tracer| { |
| 36 | + // Simple span creation |
| 37 | + // There is not ability to specify anything other than the name. |
| 38 | + // Attributes are set after creation, and automatically gets |
| 39 | + // ignored if sampling is unfavorable. |
| 40 | + let mut span = tracer.start("span-name"); |
| 41 | + span.set_attribute(KeyValue::new("key1", false)); |
| 42 | + span.set_attribute(KeyValue::new("key2", "hello")); |
| 43 | + span.set_attribute(KeyValue::new("key3", 123.456)); |
| 44 | + span.set_attribute(KeyValue::new("key4", "world")); |
| 45 | + span.set_attribute(KeyValue::new("key5", 123)); |
| 46 | + span.end(); |
| 47 | + }); |
| 48 | + |
| 49 | + trace_benchmark_group(c, "span-creation-span-builder", |tracer| { |
| 50 | + // This is similar to the simple span creation, but allows |
| 51 | + // attributes and other properties to be set during creation. |
| 52 | + // It is slightly slower than the simple span creation due to the fact that |
| 53 | + // attributes are collected into a vec! and allocated, even before sampling |
| 54 | + // decision is made. |
| 55 | + let mut span = tracer |
| 56 | + .span_builder("span-name") |
| 57 | + .with_attributes([ |
| 58 | + KeyValue::new("key1", false), |
| 59 | + KeyValue::new("key2", "hello"), |
| 60 | + KeyValue::new("key3", 123.456), |
| 61 | + ]) |
| 62 | + .start(tracer); |
| 63 | + span.set_attribute(KeyValue::new("key4", "world")); |
| 64 | + span.set_attribute(KeyValue::new("key5", 123)); |
| 65 | + span.end(); |
| 66 | + }); |
| 67 | + |
| 68 | + trace_benchmark_group(c, "span-creation-tracer-in-span", |tracer| { |
| 69 | + // This is similar to the simple span creation, but also does the job of activating |
| 70 | + // the span in the current context. |
| 71 | + // It is slower than other approaches of activation due to the fact that |
| 72 | + // context activation is done, irrespective of sampling decision. |
| 73 | + tracer.in_span("span-name", |ctx| { |
| 74 | + let span = ctx.span(); |
| 75 | + span.set_attribute(KeyValue::new("key1", false)); |
| 76 | + span.set_attribute(KeyValue::new("key2", "hello")); |
| 77 | + span.set_attribute(KeyValue::new("key3", 123.456)); |
| 78 | + span.set_attribute(KeyValue::new("key4", "world")); |
| 79 | + span.set_attribute(KeyValue::new("key5", 123)); |
| 80 | + }); |
| 81 | + }); |
| 82 | + |
| 83 | + trace_benchmark_group(c, "span-creation-simple-context-activation", |tracer| { |
| 84 | + // This optimizes by bypassing the context activation |
| 85 | + // based on sampling decision, and hence it is faster than the |
| 86 | + // tracer.in_span approach. |
| 87 | + let mut span = tracer.start("span-name"); |
| 88 | + span.set_attribute(KeyValue::new("key1", false)); |
| 89 | + span.set_attribute(KeyValue::new("key2", "hello")); |
| 90 | + span.set_attribute(KeyValue::new("key3", 123.456)); |
| 91 | + if span.is_recording() { |
| 92 | + let _guard = mark_span_as_active(span); |
| 93 | + Context::map_current(|cx| { |
| 94 | + let span_from_context = cx.span(); |
| 95 | + span_from_context.set_attribute(KeyValue::new("key4", "world")); |
| 96 | + span_from_context.set_attribute(KeyValue::new("key5", 123)); |
| 97 | + }); |
| 98 | + } |
| 99 | + }); |
| 100 | + |
| 101 | + trace_benchmark_group( |
| 102 | + c, |
| 103 | + "span-creation-span-builder-context-activation", |
| 104 | + |tracer| { |
| 105 | + // This optimizes by bypassing the context activation |
| 106 | + // based on sampling decision, and hence it is faster than the |
| 107 | + // tracer.in_span approach. |
| 108 | + let span = tracer |
| 109 | + .span_builder("span-name") |
| 110 | + .with_attributes([ |
| 111 | + KeyValue::new("key1", false), |
| 112 | + KeyValue::new("key2", "hello"), |
| 113 | + KeyValue::new("key3", 123.456), |
| 114 | + ]) |
| 115 | + .start(tracer); |
| 116 | + if span.is_recording() { |
| 117 | + let _guard = mark_span_as_active(span); |
| 118 | + Context::map_current(|cx| { |
| 119 | + let span_from_context = cx.span(); |
| 120 | + span_from_context.set_attribute(KeyValue::new("key4", "world")); |
| 121 | + span_from_context.set_attribute(KeyValue::new("key5", 123)); |
| 122 | + }); |
| 123 | + } |
| 124 | + }, |
| 125 | + ); |
| 126 | +} |
| 127 | + |
| 128 | +#[derive(Debug)] |
| 129 | +struct VoidExporter; |
| 130 | + |
| 131 | +impl SpanExporter for VoidExporter { |
| 132 | + async fn export(&self, _spans: Vec<SpanData>) -> OTelSdkResult { |
| 133 | + Ok(()) |
| 134 | + } |
| 135 | +} |
| 136 | + |
| 137 | +fn trace_benchmark_group<F: Fn(&sdktrace::SdkTracer)>(c: &mut Criterion, name: &str, f: F) { |
| 138 | + let mut group = c.benchmark_group(name); |
| 139 | + |
| 140 | + group.bench_function("always-sample", |b| { |
| 141 | + let provider = sdktrace::SdkTracerProvider::builder() |
| 142 | + .with_sampler(sdktrace::Sampler::AlwaysOn) |
| 143 | + .with_simple_exporter(VoidExporter) |
| 144 | + .build(); |
| 145 | + let always_sample = provider.tracer("always-sample"); |
| 146 | + |
| 147 | + b.iter(|| f(&always_sample)); |
| 148 | + }); |
| 149 | + |
| 150 | + group.bench_function("never-sample", |b| { |
| 151 | + let provider = sdktrace::SdkTracerProvider::builder() |
| 152 | + .with_sampler(sdktrace::Sampler::AlwaysOff) |
| 153 | + .with_simple_exporter(VoidExporter) |
| 154 | + .build(); |
| 155 | + let never_sample = provider.tracer("never-sample"); |
| 156 | + b.iter(|| f(&never_sample)); |
| 157 | + }); |
| 158 | + |
| 159 | + group.finish(); |
| 160 | +} |
| 161 | + |
| 162 | +#[cfg(not(target_os = "windows"))] |
| 163 | +criterion_group! { |
| 164 | + name = benches; |
| 165 | + config = Criterion::default() |
| 166 | + .warm_up_time(std::time::Duration::from_secs(1)) |
| 167 | + .measurement_time(std::time::Duration::from_secs(2)) |
| 168 | + .with_profiler(PProfProfiler::new(100, Output::Flamegraph(None))); |
| 169 | + targets = criterion_benchmark |
| 170 | +} |
| 171 | +#[cfg(target_os = "windows")] |
| 172 | +criterion_group! { |
| 173 | + name = benches; |
| 174 | + config = Criterion::default() |
| 175 | + .warm_up_time(std::time::Duration::from_secs(1)) |
| 176 | + .measurement_time(std::time::Duration::from_secs(2)); |
| 177 | + targets = criterion_benchmark |
| 178 | +} |
| 179 | +criterion_main!(benches); |
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