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In nodejs, nodal is a "Node.js" server platform and framework. Nodal is based on the idea of a robust and scalable data storage and retrieval API architecture, which can easily develop APIs. Serve.
The operating environment of this article: Windows 10 system, nodejs version 12.19.0, Dell G3 computer.
Nodal is a Node.js server platform and framework that allows you to easily develop API services. As products evolve across more and more platforms (web, mobile, IoT), we need to start thinking about backend architecture using a service-oriented approach rather than thinking about it as an afterthought.
Nodal’s goal is to build an encyclopedia around Node.js so that any developer—novice or veteran, backend or frontend—can join in and start creating web applications with ease.
Nodal has built-in PostgreSQL support, often uses modern ES6 syntax and idioms, and encourages fairly strict software design patterns. This allows Nodal to make a series of decisions for you so that you can quickly build and deploy your application with more confidence. Start writing code that powers your products faster and let Nodal do the heavy lifting.
Nodal is a web server and user-friendly framework for building data manipulation-centric (create, read, update, Destroy) API service.
Overview
Nodal is built on the idea of a robust, scalable data storage and retrieval API architecture. It is an opinionated, clear, idiomatic and highly scalable full-service framework that considers all the tough decisions for you and your team. This allows you to focus on creating a working product in a short amount of time while minimizing technical debt.
Nodal servers are not meant to be single. They are stateless and distributed, designed to serve your needs and effortlessly interface with your data layer. Although you can use Nodal to output any data format, it is recommended that you offload static page rendering and other things to other optimization services such as CDN.
Stateless Dogma
It is worth noting that Nodal is designed for stateless API services. This means that you should not rely on memory in a specific process to serve multiple requests, and Nodal will use process clustering (even in development) to actively prevent this practice. If you need to work with unstructured data for rapid prototyping, connect Nodal to a PostgreSQL database and use the "JSON" field type. If you start trying to use in-process memory across different requests, you'll find yourself in a lot of trouble.
Remember: one input, one output. Side effects of handling model state should be handled through your database. Nodal should not be used for streaming (long polling) requests, HTTP request and response objects are deliberately obfuscated.
This also means you cannot rely on socket connections. If you need to add real-time functionality to your application, there should be a separate server responsible for this. It can interface with your Nodal API server and even receive events from it, but your API server should not have a stateful (long-lived) connection to any client.
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