While we’re using different APIs for our projects, we see that there is a lot of hype about GraphQL. It’s an elegant approach to solve many problems associated with traditional REST APIs. But there are some issues in GraphQL that lead to a bloated codebase or even to a dramatically slowed-down app. Today we will show you 5 GraphQL apps issues and the ways to avoid them!
You should already know that GraphQL is an open source data query and manipulation language, and a runtime for fulfilling queries with existing data. From the very start, GraphQL has been released only as a specification. This means that in fact, this is not more than a long document that describes in detail the behavior of a GraphQL server. To use it yourself, you’ll have to build a GraphQL server yourself or use GraphQL API out-of-the-box.
So, what issues we talk about?
5 GraphQL apps issues
- Issue: Schema duplication
Solution: GraphQL Schema Generation
- Issue: Server/client data mismatch
Solution: Server-to-Server GraphQL Queries
- Issue: Superfluous database calls
- Issue: Poor performance
Solution: Query Caching
- Issue: Boilerplate overdose
Solution: Generic Resolvers, Mutations, and Higher-Order Components
Read the ways you can apply these solutions and see the examples in Sacha Greif original article. If you apply the solutions we suggested above – none of your apps will suffer from these issues anymore.
p.s. Read also our materials about:
- Prisma – a standalone component which is deployed in front of your SQL database and generates a GraphQL API.
- How can GraphQL approach be implemented in Ruby on Rails?