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GraphQL Server Implementation

24. 11. 2025 Updated: 27. 03. 2026 1 min read intermediate

GraphQL gives the client control over what data it wants. One endpoint, no over-fetching.

Schema and Resolvers — Python

import strawberry from strawberry.fastapi import GraphQLRouter @strawberry.type class User: id: int name: str email: str @strawberry.type class Query: @strawberry.field async def users(self) -> list[User]: return await db.users.find_all() @strawberry.field async def user(self, id: int) -> User | None: return await db.users.find(id) schema = strawberry.Schema(Query) app.include_router(GraphQLRouter(schema), prefix=”/graphql”)

DataLoader — Solving N+1

from strawberry.dataloader import DataLoader async def load_users(ids: list[int]) -> list[User]: users = await db.users.find_many(ids) return [next(u for u in users if u.id == id) for id in ids] user_loader = DataLoader(load_fn=load_users)

Key Takeaway

GraphQL for complex frontend requirements. DataLoader solves the N+1 problem. REST for simple CRUD.

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CORE SYSTEMS team

We build core systems and AI agents that keep operations running. 15 years of experience with enterprise IT.