Adds the workspace documentation by arcanis · Pull Request #632 · yarnpkg/website

arcanis · 2017-09-07T13:35:52Z

No description provided.

Haroenv · 2017-09-07T13:36:40Z

Deploy preview ready!

Built with commit 477929f

https://deploy-preview-632--yarnpkg.netlify.com

BYK · 2017-09-07T13:37:38Z

+
+{% include vars.html %}
+
+Workspace are a new way to setup your package architecture that's available by default starting from Yarn 1.0. It allows you to setup multiple packages in such a way that you only need to run `yarn install` once to install all of them in a single pass.


s/Workspace/Workspaces

you only need to run yarn install once to install all of them in a single pass

you only need to run yarn install at the root, to install everything in a single pass.

they can be installed from anywhere, actually, as long as you're in the workspace tree

BYK · 2017-09-07T13:40:22Z

+
+### Why would you want to do this?
+
+- Your dependencies can be linked together, which means that a workspace can depend on another and always use the most up-to-date version of it, without having to run `yarn install` again like with the `file:` protocol, and with better safety mechanisms than with `yarn link`.


Better to split into two sentences:

Your dependencies can be linked together, which means a workspace can depend on another and use the latest version of it from the monorepo. This is also a safer mechanism than yarn link since yarn now keeps track of actual dependencies along with versions even if they are linked locally.

BYK · 2017-09-07T13:42:24Z

+
+### Tips & Tricks
+
+  - The `workspaces` field is an array containing the paths to each workspace. Since it might be tedious to keep track of each of them, this field also accepts glob patterns!


May be suggest the packages/* pattern which is pretty common?

BYK

Nice!

BYK · 2017-09-07T13:59:49Z

+
+Yarn's workspaces are the low-level primitives that tools like Lerna can (and [do](https://github.com/lerna/lerna/pull/899)!) use. They will never try to support the high-level feature that Lerna offers, but by implementing the core logic of the resolution and linking steps inside Yarn itself we hope to enable new usages and improve performances.
+
+### Tips & Tricks


Just remembered: it is important to mention the following too:

Workspaces only works in private packages

You can disable workspaces via setting workspaces-experimental to false in .yarnrc

Haroenv · 2017-09-07T14:01:09Z

+
+### How does it compare to Lerna?
+
+Yarn's workspaces are the low-level primitives that tools like Lerna can (and [do](https://github.com/lerna/lerna/pull/899)!) use. They will never try to support the high-level feature that Lerna offers, but by implementing the core logic of the resolution and linking steps inside Yarn itself we hope to enable new usages and improve performances.


nit: improve performance

arcanis · 2017-09-07T14:19:38Z

@Haroenv is there something to do for this page to appear on https://deploy-preview-632--yarnpkg.netlify.com/en/docs? It seems automatic since the code of this page is blank, but I don't see it appear :(

Haroenv · 2017-09-07T14:21:45Z

did you fill https://github.com/yarnpkg/website/blob/master/_data/guides.yml @arcanis

Haroenv · 2017-09-07T14:22:36Z

yes, seems like that data file needs to be filled for it to render correctly, see https://deploy-preview-632--yarnpkg.netlify.com/en/docs/workspaces

Haroenv · 2017-09-07T14:23:03Z

+    workspaces-experimental false
+    ```
+
+### Limitations & Caveheats


nit: caveats

raycohen · 2018-02-08T17:02:46Z

The language

This is also a better mechanism than yarn link since it only affects your workspace tree rather than your whole system.

is a bit strong and could be interpreted as "yarn link should not be used". Is that intentional? I think a little rewording could help make it clear this benefit is useful when you are in a multi-package setup

netcazean · 2021-01-19T10:00:51Z

#632
#1108
#1107
#181
#1106

arcanis force-pushed the workspace-doc branch from b9ccd5c to 2adae37 Compare September 7, 2017 13:42

BYK reviewed Sep 7, 2017

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arcanis force-pushed the workspace-doc branch from 2adae37 to 2258763 Compare September 7, 2017 13:52

BYK approved these changes Sep 7, 2017

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Haroenv reviewed Sep 7, 2017

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arcanis force-pushed the workspace-doc branch from 2258763 to 7e39b34 Compare September 7, 2017 14:09

Haroenv reviewed Sep 7, 2017

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arcanis force-pushed the workspace-doc branch from 7e39b34 to 7d3c6bf Compare September 7, 2017 14:28

Adds the workspace documentation

477929f

arcanis force-pushed the workspace-doc branch from 7d3c6bf to 477929f Compare September 7, 2017 14:46

arcanis merged commit 1c04a88 into master Sep 7, 2017


		{% include vars.html %}

		Workspace are a new way to setup your package architecture that's available by default starting from Yarn 1.0. It allows you to setup multiple packages in such a way that you only need to run `yarn install` once to install all of them in a single pass.


		### Why would you want to do this?

		- Your dependencies can be linked together, which means that a workspace can depend on another and always use the most up-to-date version of it, without having to run `yarn install` again like with the `file:` protocol, and with better safety mechanisms than with `yarn link`.


		### Tips & Tricks

		- The `workspaces` field is an array containing the paths to each workspace. Since it might be tedious to keep track of each of them, this field also accepts glob patterns!


		Yarn's workspaces are the low-level primitives that tools like Lerna can (and [do](https://github.com/lerna/lerna/pull/899)!) use. They will never try to support the high-level feature that Lerna offers, but by implementing the core logic of the resolution and linking steps inside Yarn itself we hope to enable new usages and improve performances.

		### Tips & Tricks


		### How does it compare to Lerna?

		Yarn's workspaces are the low-level primitives that tools like Lerna can (and [do](https://github.com/lerna/lerna/pull/899)!) use. They will never try to support the high-level feature that Lerna offers, but by implementing the core logic of the resolution and linking steps inside Yarn itself we hope to enable new usages and improve performances.

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