# Node.js Core Benchmarks 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](../doc/guides/writing-and-running-benchmarks.md). ## Table of Contents * [Benchmark directories](#benchmark-directories) * [Common API](#common-api) ## Benchmark Directories
Directory Purpose
arrays Benchmarks for various operations on array-like objects, including Array, Buffer, and typed arrays.
assert Benchmarks for the assert subsystem.
buffers Benchmarks for the buffer subsystem.
child_process Benchmarks for the child_process subsystem.
crypto Benchmarks for the crypto subsystem.
dgram Benchmarks for the dgram subsystem.
domain Benchmarks for the domain subsystem.
es Benchmarks for various new ECMAScript features and their pre-ES2015 counterparts.
events Benchmarks for the events subsystem.
fixtures Benchmarks fixtures used in various benchmarks throughout the benchmark suite.
fs Benchmarks for the fs subsystem.
http Benchmarks for the http subsystem.
misc Miscellaneous benchmarks and benchmarks for shared internal modules.
module Benchmarks for the module subsystem.
net Benchmarks for the net subsystem.
path Benchmarks for the path subsystem.
process Benchmarks for the process subsystem.
querystring Benchmarks for the querystring subsystem.
streams Benchmarks for the streams subsystem.
string_decoder Benchmarks for the string_decoder subsystem.
timers Benchmarks for the timers subsystem, including setTimeout, setInterval, .etc.
tls Benchmarks for the tls subsystem.
url Benchmarks for the url subsystem, including the legacy url implementation and the WHATWG URL implementation.
util Benchmarks for the util subsystem.
vm Benchmarks for the vm subsystem.
### Other Top-level files 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 running `compare.js` * `_cli.js`: parses the command line arguments passed to `compare.js`, `run.js` and `scatter.js` * `_cli.R`: parses the command line arguments passed to `compare.R` * `_http-benchmarkers.js`: selects and runs external tools for benchmarking the `http` subsystem. * `common.js`: see [Common API](#common-api). * `compare.js`: command line tool for comparing performance between different Node.js binaries. * `compare.R`: R script for statistically analyzing the output of `compare.js` * `run.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. * `scatter.R`: R script for visualizing the output of `scatter.js` with scatter plots. ## Common API 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. ### createBenchmark(fn, configs[, options]) See [the guide on writing benchmarks](../doc/guides/writing-and-running-benchmarks.md#basics-of-a-benchmark). ### default\_http\_benchmarker The default benchmarker used to run HTTP benchmarks. See [the guide on writing HTTP benchmarks](../doc/guides/writing-and-running-benchmarks.md#creating-an-http-benchmark). ### PORT The default port used to run HTTP benchmarks. See [the guide on writing HTTP benchmarks](../doc/guides/writing-and-running-benchmarks.md#creating-an-http-benchmark). ### sendResult(data) 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`). ### v8ForceOptimization(method[, ...args]) Force V8 to mark the `method` for optimization with the native function `%OptimizeFunctionOnNextCall()` and return the optimization status after that. It can be used to prevent the benchmark from getting disrupted by the optimizer kicking in halfway through. However, this could result in a less effective optimization. In general, only use it if you know what it actually does.