npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

paradocker

v0.1.0

Published

Parallel Docker - run tests/tasks in parallel

Downloads

2

Readme

Parallel Docker

paradocker allows to run commands in the docker containers in the parallel. This works with UNIX pipes.

Any UNIX pipe can be used for running your commands in docker containers.

For example you can use this like:

find test | grep .js | paradocker --image ubuntu:precise --concurrency 5 --run "echo mocha -R spec"

  • it will run your tests in parallel,
  • it will make some queue in this example 5 processes
  • it will handle your big list of tests in the parallel.

exactly it will run commands for docker like:

  • > docker run --rm ubuntu:precise echo mocha -R spec test/src/paradockerTest.js
  • > docker run --rm ubuntu:precise echo mocha -R spec test/src/streamTest.js

yeah, echo mocha -R spec test/src/streamTest.js will be executed inside of container.

Install

requirements: docker https://www.docker.com/

  • npm install -g paradocker

Help

> paradocker -h

find test | paradocker --image ubuntu:precise --concurrency 5 --run echo

Options:
  -h, --help         help
  -v, --version      version
  -i, --image        docker image
  -r, --run          docker run parameters
  -c, --concurrency  docker process concurrency
  -o, --options      docker options
  --image                                        [default: "ubuntu:precise"]
  --concurrency                                  [default: 2]
  --run                                          [default: "echo"]
  --options                                      [default: "--rm"]

Example output

>> find test | grep .js | paradocker --image ubuntu:precise --concurrency 5 --run "echo mocha -R spec"

> docker run --rm ubuntu:precise echo mocha -R spec test/src/paradockerTest.js
> docker run --rm ubuntu:precise echo mocha -R spec test/src/streamTest.js
[DONE] docker run --rm ubuntu:precise echo mocha -R spec test/src/paradockerTest.js
[TASK] echo mocha -R spec test/src/paradockerTest.js
mocha -R spec test/src/paradockerTest.js


[DONE] docker run --rm ubuntu:precise echo mocha -R spec test/src/streamTest.js
[TASK] echo mocha -R spec test/src/streamTest.js
mocha -R spec test/src/streamTest.js

I guess you noticed that mocha does not show any test results (of course) because there run command with echo just for example, we use empty image ubuntu:precise,

just setup your project, use your image and run your tests in parallel. enjoy!