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Easier to test

In a GraphQL query, we ask for entities, also called “Types”. Since each type gets a dedicated handler, it will be fairly easy to unit test them.

Hierarchy

By its nature, GraphQL is hierarchical and follows relationships between objects, as opposed to Rest where you might need additional requests to fetch linked data. Once again, when writing your query, you control the structure of the answer you want.

Strongly typed

Unlike Rest APIs, GraphQL strongly relies on types within its schema, and gives you the ability to create your own types on top of its internal types. This Cheap Visit Websites Sale Online Boohoo Buckle Strap Open Back Shirt Fast Delivery Online Low Cost Cheap Exclusive RrSYs
allows GraphQL to provide descriptive error messages before executing a query.

Example of a bad parameter type:

This Type System highly contributes to all the tooling available around GraphQL, such as mock-server from graphql-tools for instance.

Documentation

Every GraphQL server comes with a tool called Noisy May Nw Trousers Women Blue Cheap Many Kinds Of ANL7RF
, which is a UI to execute queries, explore the schema and access documentation.

Since the whole schema is easily available on the client through GraphiQL, we can enjoy efficient auto-completion and light but complete documentation, depending on how well description is put on each field:

We can also query the schema itself and ask for its structure. This is called “ introspection ”.

With Swagger UI (a well-adopted standard to document APIs, example ), all you need as a consumer is a list of endpoints with a description of all parameters. Here with GraphQL, all you need is the schema. Apart from the schema, the problematic is the same and will depend on how much effort the dev team has put in the doc, by adding helpful comments to every field for example.

As you might have guessed, GraphQL also comes with some disadvantages. Let’s have a look at the main ones.

Server code is more complex but at the end, same code will be used to answer multiple use-cases.

Defining the schema is a bit verbose but once it’s done, our server will be able to answer multiple use-cases.

To consume a GraphQL API, several clients already exist, depending on your programming language. But they lack maturity compared to any client consuming Rest services.

The need to rethink caching since getting data through POST requests disables any caching by any proxy between the client and the server. Even if the query is in the URL using GET, caching will still be compromised, as the same entity / “resource” could be part of many different queries. If you want to learn more about this, Nike Power Womens Training Capris Discount Popular uLDS2
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explaining how to cache a graph.

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