TypeScript-Handbook VS bull

jsx - If you are using JSX (for example with React), this setting determines how your JSX files should be treated(preserve, react, react-native, etc.).

Heya! Creator of tRPC here. Seen some comments on trpc's ts perf issues.

Some notes:

- The problems with tRPC "at scale" are fixable by using project references, but not going to downplay that it's an annoying refactor to do (https://github.com/microsoft/TypeScript-Handbook/blob/master...)

By the way, the I-prefix for interfaces is not something you see often in TypeScript. There are several reasons for that though mainly I think it's because the Microsoft TypeScript handbook discouraged it.

The sample code is much older than that. https://github.com/microsoft/TypeScript-Handbook/commit/20ef...

Much cleaner, no CSS selectors in examples but can we improve this even more? Sure! With a common test-specific attribute on every testable element and TypeScript decorators page objects can look a bit fancier:

microsoft/TypeScript-Handbook

To implement the solution with a queue, I used a package called 'Bull' (https://github.com/OptimalBits/bull). It's a library that helps with distributed job control, providing some very useful solutions for this type of work, such as background job processing, queues with priorities (FIFO, LIFO, and others), among other features. 'Bull' uses Redis for queue storage, so if your application crashes for any reason, once it's back online, it will continue executing the processes that are in the queue. In our case, we'll use the FIFO (First in, first out) queue solution, meaning priority based on arrival order.

We use bull-js for our distributed queue and event-driven library.

I'm using the excellent Redis based Bull.js as a job queue on Kubernetes.

For Job Queue, NestJs provides a package named @nestjs/bull as an abstraction/wrapper on top of Bull, a popular, well-supported, high-performance Node. js-based Queue system implementation.

I'm working on a large ETL project that involves handling queues for file integration. Currently, we are using Redis with Bull (https://www.npmjs.com/package/bull) for this purpose. However, to streamline our architecture and address security concerns, we are considering migrating the queue to PostgreSQL.

BullMQ is a pretty solid choice: https://github.com/taskforcesh/bullmq It's the successor of Bull: https://github.com/OptimalBits/bull

For Node specifically, things like Streams, understanding the asynchronous model completely, and the event loop. Also, queues tend to get used a lot in Node, so understanding the basic concepts behind that and how to use something like bull would be useful.

To do this properly, you need to put the task into queue, so if there are 1000 simultaneous uploads it won't kill your server but will be processed one by one. For the queue, see bull. Image hostings like AWS have some functionality for processing on their side, as an option.

This is a memory intensive process though and Heroku is OOM'ing with R14 errors. For this they recommend migrating intensive work like this to a Background Job via Redis, implemented in Bull and Throng