mercurius VS insomnia

GraphQL Gateway is primarily responsible for serving GraphQL queries to consumers. It takes a query from a client, breaks it into smaller sub-queries, and executes that plan by proxying calls to the appropriate downstream subgraphs. When we started our journey, there was only Apollo Federation in the arena, and we used it. Still, now you can look at other options (e.g. Mercurius, Conductor, Hot Chocolate, Wundergraph, Hasura Remote Schemas), compare benchmarks and decide what's important and preferable for your needs. The Gateway provides a unified API for consumers while giving backend engineers flexibility and service isolation.

If you're using Fastify with Mercurius as your GraphQL adapter, you may be looking for some advanced usages. In this article, we'll explore a real world example with Dynamic GQL queries with Mercurius.

Loader: it is a built-in DataLoader-Like solution that is quick to set up and use.

In this post I will show you how to implement NestJS😻 with GraphQL in code first mode, using Mercurius and the "platform" to Fastify.

What this does is to overwrite or augment the types exposed by the pointed module, and can be used (for example) when relying on autogenerated code. One interesting case of this is GraphQL to TypeScript code generation, and how this is integrated with the amazing Mercurius library (made by some of my colleagues at NearForm! 😜).

When moving away from Apollo Server, and you're looking for a replacement built with JavaScript or TypeScript, let me give you some options. If you want to keep building your GraphQL API schema first, you might want to consider Mercurius (which relies on Fastify) or GraphQL Yoga. If you're going to build your GraphQL API code or resolver first, have a look at TypeGraphQL or Nexus. Alternatively, there are great GraphQL-as-a-Service solutions such as StepZen in case you no longer want to build, maintain and host your own GraphQL API.

Let's start with data. We live in amazing times and it's really easy and cheap (or free) to get started with storing and working with data online. Take for example a PlanetScale MySQL-compatible database, Fastify Node.js Server, Prisma database mapper and a GraphQL connector like Mercurius and you have an entire backend stack. For this example we assume you already have a backend or you want to connect to a 3rd party database like the GitHub GraphQL API.

In this chapter, we assume a basic understanding of GraphQL and focus on how to work with the built-in @nestjs/graphql module. The GraphQLModule can be configured to use Apollo server (with the @nestjs/apollo driver) and Mercurius (with the @nestjs/mercurius). We provide official integrations for these proven GraphQL packages to provide a simple way to use GraphQL with Nest. You can also build your own dedicated driver (read more on that here).

Why would I want to use Apollo Client? So far in my career I have used some server graphql scaffolding (webonyx/graphql-php for PHP and mercurius for Node) and just used the fetch API (or whatever ajax API around XMLHttpRequest) against that server with the body being an object with

Only for people who are clueless. Apollo server is probably the worst node.js server to use for your graphql schema. It's terribly slow. You should look into https://mercurius.dev

Use tools like Postman or Insomnia to test the API endpoints and ensure they behave as expected.

We will be performing all of the authentication requests manually, however for testing purposes, you might want to use an API testing tool such as Postman or Insomnia.

For a very long time, the go-to tool was curl. Great, always available command line tool. Unfortunately, there is one small issue. It’s hard to keep requests and collect them in collections, it’s great for one-time shots or debugging, but for constant working with API could be painful. To solve it, I started working with tools like Postman/Insomnia. Then eh... strange licensing model, or changes which occurred from Kong side click, definitely push me again for some lookup. After checking different very popular tools and those not such well known I decided to use… Ansible. Sounds strange right? Let me explain this decision. For example, look at this code.

At first, I used Postman for testing APIs because it had a lot of features. But I switched to Insomnia because it was easier to use and kept everything organized. The big problem with Insomnia was that it deleted all my saved work when it made me create an account to keep using it.

Often used for cases where a project exposes a REST or other type of API service. Open API is a popular method of documenting such API services. It can also be used along side tools such as Swagger Codegen to produce boilerplate code for API interaction / testing purposes. There may also be support files for popular API testing tools such as Postman or Insomnia. This makes it easier at a glance to see what data is coming back from a call so the user knows how to handle parsing the data.

Well, there is this website that I have been trying to scrape for a few days now. I had tried everything from scrapy splash on docker to almost giving up because I read somewhere that it was JavaScript rendered. Since the source code from the inspect part of the developer tools was different from the source code from the view-source:https//... on the same developer tools.How could this be possible? Then I kept searching on internet and found this concept; where you can mimic web-browsers requests from a server using an API program,and it worked magically. Some of the API programs are postman and insomnia. I prefer using insomnia for this particular case , feel free to use any other API program of your choice.