golang-benchmark

To prevent dead-code elimination in Go benchmarks, you must consume the output of the function being measured. Assign results to a package-level variable or pass them to a runtime function like fmt.Sprintf so the compiler does not optimize the code away during benchmarking.

In Go 1.24+, you should use b.Loop() instead of a legacy for loop for accurate timer measurement. b.Loop() automatically stops the timer before iterations and resumes it after, preventing setup code from skewing your benchmark results.

The best way to compare Go benchmark results is using benchstat, benchdiff, or gobenchdata. Run your benchmarks with -count=10 to ensure statistical significance, then use these tools to compare baseline and current runs to validate performance improvements.

To collect CPU and memory profiles for a Go benchmark, run your tests using the testing package with pprof flags. Execute the benchmark with -cpuprofile and -memprofile flags, then analyze the generated profile data to identify hot paths and allocation issues.

Noisy Go benchmark results are often caused by insufficient iterations or interleaved runs. Fix this by running benchmarks with -count=10 for statistical significance, interleaving baseline and change runs to account for system variance, and applying best practices to stabilize measurements.