Let's discuss five best practices for designing GraphQL APIs.
A Thread 𧡠ππ»
A Thread 𧡠ππ»
GraphQL solves the problem of over-fetching and under-fetching that we often get in REST API.
If you are unaware of these two terms.
Over-fetching is fetching too much data.
Under-fetching is not having enough data, forcing you to call a second endpoint.
Over-fetching is fetching too much data.
Under-fetching is not having enough data, forcing you to call a second endpoint.
The GraphQL API is designed to provide you with the precise amount of data you request.
Following best practices can make your GraphQL API stand out.
Here are a few points on best practices you should consider while building a GraphQL API. ππ»
Here are a few points on best practices you should consider while building a GraphQL API. ππ»
1οΈβ£ Name All GraphQL Operations
There are two ways to create GraphQL queries:
- You can do it anonymously, or
- You can provide it with a name.
The second way is the best way to do it.
There are two ways to create GraphQL queries:
- You can do it anonymously, or
- You can provide it with a name.
The second way is the best way to do it.
You should always provide a name to GraphQL operations in your application.
This will help users to understand the purpose of a query.
It also helps with the debugging operation.
This will help users to understand the purpose of a query.
It also helps with the debugging operation.
2οΈβ£ Only Query The Data You Need
The most significant advantage of GraphQL over REST API is its ability to fetch only the data the client needs.
So when you are designing a GraphQL API, make sure that you request exactly the data you need.
The most significant advantage of GraphQL over REST API is its ability to fetch only the data the client needs.
So when you are designing a GraphQL API, make sure that you request exactly the data you need.
3οΈβ£ Use Fragments
You should use fragments to encapsulate related fields.
The fragment can be shared across multiple operations, and this will make your queries short, consistent, and more readable than before.
You should use fragments to encapsulate related fields.
The fragment can be shared across multiple operations, and this will make your queries short, consistent, and more readable than before.
A fragment is nothing but a piece of logic that can be shared between multiple queries and mutations.
4οΈβ£ Query Global And User Data Separately
When developing an application, some global data is common across all users. But there is also some user-specific data.
It is a good practice that you query both types of data separately.
When developing an application, some global data is common across all users. But there is also some user-specific data.
It is a good practice that you query both types of data separately.
This way, it can also be cached separately.
So if a different user is now using a computer that was used by another user earlier, your app would only need to fetch the new user data and use the global data from the cache.
So if a different user is now using a computer that was used by another user earlier, your app would only need to fetch the new user data and use the global data from the cache.
5οΈβ£ Avoid Versioning
No need to create breaking changes as GraphQL returns explicitly requested data.
New data can be added using new fields and types. Hence no need to implement versioning.
Versionless is the most underrated benefit of GraphQL.
No need to create breaking changes as GraphQL returns explicitly requested data.
New data can be added using new fields and types. Hence no need to implement versioning.
Versionless is the most underrated benefit of GraphQL.
With that being said, this is the end of this thread.
Follow @Rapid_API for more exciting content like this one. π π
Follow @Rapid_API for more exciting content like this one. π π
β’ β’ β’
Missing some Tweet in this thread? You can try to
force a refresh
γ
