In everyday development, GraphQL schema design best practices are being adopted more and more. This article walks through their usage, internals, and optimization strategies in a structured way.
Quick Start
In a real project, the usage gets a bit more involved:
graphql
import { ApolloClient, InMemoryCache, createHttpLink } from '@apollo/client'
import { setContext } from '@apollo/client/link/context'
const httpLink = createHttpLink({ uri: '/graphql' })
const authLink = setContext((_, { headers }) => {
const token = localStorage.getItem('token')
return { headers: { ...headers, authorization: `Bearer ${token}` } }
})
const client = new ApolloClient({
link: authLink.concat(httpLink),
cache: new InMemoryCache({
typePolicies: {
Query: {
fields: {
users: { keyArgs: ['filter'], merge: (e, i) => ({ ...i, edges: [...(e?.edges||[]), ...i.edges] }) }
}
}
}
})
})
This way, the code becomes both more testable and more extensible.
Internal Principles
Here is a complete example:
graphql
import { ApolloClient, InMemoryCache, createHttpLink } from '@apollo/client'
import { setContext } from '@apollo/client/link/context'
const httpLink = createHttpLink({ uri: '/graphql' })
const authLink = setContext((_, { headers }) => {
const token = localStorage.getItem('token')
return { headers: { ...headers, authorization: `Bearer ${token}` } }
})
const client = new ApolloClient({
link: authLink.concat(httpLink),
cache: new InMemoryCache({
typePolicies: {
Query: {
fields: {
users: { keyArgs: ['filter'], merge: (e, i) => ({ ...i, edges: [...(e?.edges||[]), ...i.edges] }) }
}
}
}
})
})
Mind the edge-case handling—that's critical in production.
Business Practice
The key is to understand the core logic:
graphql
import { ApolloClient, InMemoryCache, createHttpLink } from '@apollo/client'
import { setContext } from '@apollo/client/link/context'
const httpLink = createHttpLink({ uri: '/graphql' })
const authLink = setContext((_, { headers }) => {
const token = localStorage.getItem('token')
return { headers: { ...headers, authorization: `Bearer ${token}` } }
})
const client = new ApolloClient({
link: authLink.concat(httpLink),
cache: new InMemoryCache({
typePolicies: {
Query: {
fields: {
users: { keyArgs: ['filter'], merge: (e, i) => ({ ...i, edges: [...(e?.edges||[]), ...i.edges] }) }
}
}
}
})
})
Performance tuning should fit the specific scenario—you don't need to over-optimize every case.
Performance Comparison
Here are a few ways we can improve on this:
graphql
import { ApolloClient, InMemoryCache, createHttpLink } from '@apollo/client'
import { setContext } from '@apollo/client/link/context'
const httpLink = createHttpLink({ uri: '/graphql' })
const authLink = setContext((_, { headers }) => {
const token = localStorage.getItem('token')
return { headers: { ...headers, authorization: `Bearer ${token}` } }
})
const client = new ApolloClient({
link: authLink.concat(httpLink),
cache: new InMemoryCache({
typePolicies: {
Query: {
fields: {
users: { keyArgs: ['filter'], merge: (e, i) => ({ ...i, edges: [...(e?.edges||[]), ...i.edges] }) }
}
}
}
})
})
This approach has been running stably in production for over half a year, so it's battle-tested.
Summary
- The code examples are for reference only—adapt them to your own use case.
- GraphQL schema design best practices aren't a silver bullet—choose them based on your project's scale and tech stack.
- Understanding the underlying principles matters more than memorizing the API.
- Before using it in production, be sure to verify compatibility.
- In a team, conventions and documentation matter more than the technology itself.
