Things you should know about GraphQl in 2024
Over the years, GraphQL has become quite a big deal. Many developers were excited about this technology, and I was one of them.
Check out our 2021 series
After a few years of using this technology, I would like to
share my thoughts and knowledge about GraphQL.
Let’s start with a simple definition, what is GraphQL?
GraphQL is a query language that lets you decide what kind
of data you will receive in response to the request.
GraphQL
also provides runtime for fulfilling those queries with your
existing data. About this data, you can think in the fashion of
nodes in graphs. Objects may have a relationship with other
objects, but you may be interested only in a small portion of
those nodes.
Simple? Excellent, let’s go deeper.
“The Expression is called the selector expression. The type of
the selector expression must be char, byte, short, int, or a
reference type, or a compile-time error occurs.”
– Gopi Krishna Vemula
Freedom
GraphQL gives clients of the service freedom when it comes
to choosing what they will receive from the server. You
control what information you will retrieve and which fields areunnecessary in your case for each request, either its query, mutation, or subscription. Those are the only 3 types of requests. Query operations are designed for retrieving data,
Mutation operations for modifying it, and Subscription
operations provide real-time updates when new data
becomes available..
Running a dev container
To run a dev container select ctrl + shift + p -> Dev
Containers: Reopen in Container and enjoy developing in a well-known VSCode.
| Page name | Views per Second | Records per page | Requests Per Minute | VM instances |
|---|---|---|---|---|
Summary
In this article, we learned about setting up and using a
dev container extension for VSCode for development
purposes. The extension provides the same development
experience as if the development was done locally on
your machine and at the same time all the advantages of
separating an environment with containers. It works well
in remote environments. If you found the article
interesting I encourage you to read other of our blog
postsor check out our Machine Learning projects.
