Five Common Problems in GraphQL Apps (And How to Fix Them) - Bomberbot

- Duplicated schemas - Mismatched server/client data - Inefficient queries and N+1 problems - Slow performance - Excessive boilerplate The good news is, smart architecture and modern tooling can overcome these hurdles. ... ## Problem 1: Duplicated Schemas One of the first challenges new GraphQL developers encounter is having to define their data schema in multiple places. You need one schema for your database models, and another similar-but-not-quite-identical schema for your GraphQL types. Keeping them in sync is tedious and error-prone. … ## Problem 2: Server/Client Data Mismatch Often the shape of your data will be different in your database vs. your GraphQL responses. For example, a blog post in the database might have an `authorId` field, while the GraphQL version has an `author` object: ``` // Post in database _id: ‘123‘, title: ‘Hello world‘, authorId: ‘456‘ // Post from GraphQL _id: ‘123‘, title: ‘Hello world‘, author: { _id: ‘456‘, name: ‘John Smith‘ ``` … ## Problem 3: Inefficient Queries and N+1 A common performance issue is "N+1 queries" – your server executes a separate database query for each child record, leading to an explosion in database calls. Consider a GraphQL query like this: ``` query Posts { posts { _id title comments { _id text author { _id name ``` … ## Problem 4: Poor Query Performance Even with the N+1 problem solved, some GraphQL queries are just expensive by nature. Queries with deep nested relationships, large result sets, or complex filtering can bog down your server and make for a poor user experience. … ## Problem 5: Too Much Boilerplate Our last problem isn‘t specific to GraphQL, but it‘s common in GraphQL apps. Exposing each entity in your data model requires a lot of repetitive code – a new type definition, new root query fields, new resolvers, new mutations, etc. For example, adding a