yarn VS PostgreSQL

instead. Please refer tothis issue for guidance. Following the instructions in this issue will ensure the correct installation of Yarn.

As an alternative, you can use the Yarn CLI command:

The PR for Auto detect and merge lockfile conflicts provides insight into the latest implementation in /src/lockfile/parse.js.

this this maybe https://github.com/yarnpkg/yarn/issues/8331

Yarn, but you can use npm or pnpm as alternatives to yarn if you prefer.

Yarn definitely shot themselves in the foot badly. PnP identified real problems & came up with a solution, but pnpm is doing a similar set of tricks but in a Node-ecosystem-compatible way, with next to no compatibility issues (versus package maintainers having to each individually support Yarn V2 PnP). Yarn V2 seemingly thought they could get the entire npm package world to switch to yarn, saw their growth & saw the thought-leaders & decided their winning was a fait-accompli.

And they didn't really execute very well... v2 landed, there was controversy, and there's been so little visible or exciting good news about it. It over-played Yarns so hand they renamed Yarn v2 as Berry, just to re-gather the troops & make a staging point forward. But it's still an incredibly hard pill to swallow, and the "yarn (berry) is great, the ecosystem needs to change" attitude seemingly isn't gaining any traction and it's hard to tell where Yarn could go.

In Yarn v3[1], they've introduced a modular "linker" system for how to install packages, that seemingly might get them able to experiment around/play around a little more & be less constrained than the hard-path they'd crusaded for.

One thing I will say for Yarn, that makes me unbelievably happy versus npm (announced during the V2[2] announcement):

> Yarn is first and foremost a Node API that can be used programmatically (via @yarnpkg/core)

Npm is the premier tool for open-source javascript, but it itself is one of the least open-source efforts on the planet. I finally started digging around the npm package and it's underlying cacache cache-structure, and it's just infinitely unpleasant to get started with. There's maybe like 3 articles on the whole planet that have any guidance for what npm is inside, how it works, what you can do with it, how you can hack it. Yarn identifying that the package manager itself is something that developers need access to is a huge win & I want to thank them forever for putting that on their bullet list of great Yarn things.

[1] https://dev.to/arcanis/yarn-3-0-performances-esbuild-better-...

[2] "Yarn's Future - v2 and beyond" https://github.com/yarnpkg/yarn/issues/6953

Unfortunately, as I found out, yarn's resolutions property has a long history of not playing well with optionalDependencies: anything placed into resolutions is treated as required and will abruptly fail to install if it is, for example, a platform-specific package appropriate for your deploy environment but not your dev environment or vice versa, as is the case here.

It was July 2021. I started with [email protected] since I’ve been using it for a long time. Yarn was fast, but soon I met several issues with Yarn Workspaces. E.g., not hoisting dependencies correctly, and tons of issues are tagged with “fixed in modern”, which redirects me to the v2 (berry).

Upgrading dependencies: Yarn 1's yarn upgradeonly upgrades direct dependencies of the current workspace. Yarn 2's up ignores the version ranges in your package.json and upgrades for all workspaces. npm's and pnpm'supdate respect your version ranges and upgrade indirect dependencies as well.

Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance

PostgreSQL

The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

Node.js, MySQL and PostgreSQL servers installed on your machine

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq: