This folder contains code and data used to measure performance of different Node.js implementations and different ways of writing JavaScript run by the built-in JavaScript engine.
For a detailed guide on how to write and run benchmarks in this directory, see the guide on benchmarks.
Benchmarks testing the performance of a single node submodule are placed into a
directory with the corresponding name, so that they can be executed by submodule
or individually.
Benchmarks that span multiple submodules may either be placed into the misc
directory or into a directory named after the feature they benchmark.
E.g. benchmarks for various new ECMAScript features and their pre-ES2015
counterparts are placed in a directory named es.
Fixtures that are not specific to a certain benchmark but can be reused
throughout the benchmark suite should be placed in the fixtures directory.
The top-level files include common dependencies of the benchmarks and the tools for launching benchmarks and visualizing their output. The actual benchmark scripts should be placed in their corresponding directories.
_benchmark_progress.js: implements the progress bar displayed when runningcompare.jsandscatter.js_cli.js: parses the command line arguments passed tocompare.js,run.jsandscatter.js_cli.R: parses the command line arguments passed tocompare.R_http-benchmarkers.js: selects and runs external tools for benchmarking thehttpsubsystem.bar.R: R script for visualizing the output of benchmarks with bar plots.common.js: see Common API.compare.js: command line tool for comparing performance between different Node.js binaries.compare-node-bench.js: parallel comparison tool for explicitnode:benchfiles. It does not change or invokecompare.js.compare.R: R script for statistically analyzing the output ofcompare.jsrun.js: command line tool for running individual benchmark suite(s).scatter.js: command line tool for comparing the performance between different parameters in benchmark configurations, for example to analyze the time complexity. Pass--analyzeto summarize the results without R.scatter-node-bench.js: parallel scatter-data tool for an explicitnode:benchfile. It does not change or invokescatter.js.scatter.R: R script for visualizing the output ofscatter.jswith scatter plots.
The compare-node-bench.js and scatter-node-bench.js tools run explicit
node:bench files without changing the existing benchmark framework or its
tools. Each repeated observation for a benchmark identity is collected by a
separate process invocation with one measured sample. Benchmarks declared in
the same file still execute serially in that process and can share JIT, garbage
collector, heap, and cache state. This differs from legacy configuration-level
process isolation and must be considered when comparing the frameworks.
Compare two binaries and analyze the compatible CSV using compare.R:
./node benchmark/compare-node-bench.js \
--old ./node-main --new ./node-pr --runs 30 -- \
benchmark/crypto/_create-hash.node-bench.js > compare-node-bench.csv
Rscript benchmark/compare.R < compare-node-bench.csvPass --analyze to run the same Welch analysis inline. --max-regression N
implies --analyze and makes the command fail only when the Holm-Bonferroni
adjusted one-sided p-value against the N% threshold is below 0.05 and the full
95% confidence interval is worse than -N%. Requiring both conditions prevents
a noisy point estimate from failing a regression gate.
./node benchmark/compare-node-bench.js \
--old ./node-main --new ./node-pr --runs 30 \
--max-regression 5 -- benchmark/crypto/_create-hash.node-bench.jsCollect parameter data for the parallel buffer benchmark and plot it using
scatter.R:
./node benchmark/scatter-node-bench.js --node ./node --runs 30 -- \
benchmark/buffers/_buffer-compare-offset.node-bench.js \
> scatter-node-bench.csv
Rscript benchmark/scatter.R --xaxis size --category method \
--plot scatter-node-bench.png < scatter-node-bench.csvPass --analyze with an x-axis parameter to summarize the samples without R.
The output includes mean and median confidence intervals, skew warnings, an
optional bar chart, and Mann-Whitney U and Cliff's delta comparisons between
consecutive x-axis values. Use --category for a second grouping parameter and
--no-chart to omit the chart.
Because configurations in one file share a process, inline analysis averages aggregated configurations into one value per outer process. Consecutive x-axis comparisons use alternating, disjoint process sets so the unpaired Mann-Whitney test does not treat correlated values as independent samples.
./node benchmark/scatter-node-bench.js --runs 30 --analyze \
--xaxis size --category method -- \
benchmark/buffers/_buffer-compare-offset.node-bench.jsA file passed to scatter-node-bench.js must use one logical benchmark name.
Parameter values distinguish its configurations. The tool rejects unstable
identities and names or parameters that would merge unrelated CSV groups.
The underscore-prefixed benchmark files are parallel ports used to compare the
measurement frameworks. Legacy discovery ignores them, so the original files
remain the source benchmarks for run.js, compare.js, and scatter.js. The
ports use the platform-specific original relative filename as their benchmark
name and preserve parameter column names to keep CSV grouping compatible. For
a direct framework comparison, collect the same number of runs from an
original benchmark with scatter.js and from its port with
scatter-node-bench.js, then compare their rate distributions.
The common.js module is used by benchmarks for consistency across repeated tasks. It has a number of helpful functions and properties to help with writing benchmarks.
See the guide on writing benchmarks.
The default benchmarker used to run HTTP benchmarks. See the guide on writing HTTP benchmarks.
The default port used to run HTTP benchmarks. See the guide on writing HTTP benchmarks.
Used in special benchmarks that can't use createBenchmark and the object
it returns to accomplish what they need. This function reports timing
data to the parent process (usually created by running compare.js, run.js or
scatter.js).