1.0.2 • Published 6 years ago

sourcemap-decoder v1.0.2

Weekly downloads
6
License
MIT
Repository
github
Last release
6 years ago

Sourcemap Decoder

rust-sourcemap nodejs bindings

Install

Make sure you have rust installed in your environment. follow this link: https://www.rust-lang.org/en-US/install.html to install rust toolchains.

如果你是中国用户,可以使用 curl https://sh.rustup.rs -sSf | sed "s/https:\/\/static.rust-lang.org\/rustup\/dist/https:\/\/mirrors.ustc.edu.cn\/rust-static\/rustup\/dist/g" | sh 来安装

run yarn add sourcemap-decoder or npm i sourcemap-decoder to install

如果你是中国用户,在执行安装命令之前可以先执行(复制多行,粘贴到命令行,回车):

cat > $HOME/.cargo/config << EOF
[source.crates-io]
registry = "https://github.com/rust-lang/crates.io-index"
replace-with = 'ustc'
[source.ustc]
registry = "git://mirrors.ustc.edu.cn/crates.io-index"
EOF

Working in Docker

There is a Official rust Dockerfile in Github. You can follow this file to setup your Dockerfile.

如果你是中国用户,Dockerfile 是一份 Dockerfile 的样板文件,它可以在国内达到更快的 Build 速度

If you want to use neon bindings with your NodeJS project in Docker, I suggest you don't install rust toolchains in your production use Docker Image, just install them in your ci environment, and run yarn install --production or npm install --production, then use Docker ADD command to copy all your files into your production Docker Image. And if you do that, don't forget to keep your NodeJS version in ci environment to be the same with the NodeJS version in production environment.

如果你需要在生产环境里面使用 neon bindings 相关的项目,建议 不要production 使用的 Docker Image 内安装 Rust 相关的工具链,这样会极大增加 Docker Image 的体积,你可以在你的 ci 环境内安装 Rust 相关的工具,在执行 yarn install --production 或者 npm install --production 后将所有文件 ADD 到生产环境的 Docker Image 中。如果你这样做,确保 ci 运行时的 NodeJS 版本与 production 环境的 NodeJS 版本一致。

Benchmark

run: yarn benchmark or npm run benchmark to see the benchmark result.

This is the benchmark result in my machine:

Hardware info:

ProductName:    Mac OS X
ProductVersion: 10.13.3
BuildVersion:   17D47
Model Name: MacBook Pro
Model Identifier: MacBookPro14,2
Processor Name: Intel Core i5
Processor Speed: 3.1 GHz
Number of Processors: 1
Total Number of Cores: 2
L2 Cache (per Core): 256 KB
L3 Cache: 4 MB
Memory: 16 GB
$ node benchmark
JavaScript parse time 50794 microseconds
Rust parse time: 39 microseconds
JavaScript parse result, Source: webpack:///src/utils/logger/logger.ts, Line: 56
Rust parse result, Source: webpack:///./src/utils/logger/logger.ts, Line: 56
✨  Done in 0.33s.