2020-02-19
2229
#graphql
Leonardo Losoviz
14127
Feb 19, 2020 â‹… 7 min read

Simplifying the GraphQL data model

Leonardo Losoviz Freelance developer and writer, with an ongoing quest to integrate innovative paradigms into existing PHP frameworks, and unify all of them into a single mental model.

Recent posts:

Next.js Real-Time Video Streaming: HLS.js And Alternatives

Next.js real-time video streaming: HLS.js and alternatives

Set up real-time video streaming in Next.js using HLS.js and alternatives, exploring integration, adaptive streaming, and token-based authentication.

Jude Miracle
Jul 15, 2025 â‹… 19 min read

When is low-code the right choice? Here’s how to decide

Not sure if low-code is right for your next project? This guide breaks down when to use it, when to avoid it, and how to make the right call.

Popoola Temitope
Jul 11, 2025 â‹… 7 min read
Comparing AI App Builders — Firebase Studio vs. Lovable vs. Replit. LogRocket Article

Comparing AI app builders — Firebase Studio vs. Lovable vs. Replit

Compare Firebase Studio, Lovable, and Replit for AI-powered app building. Find the best tool for your project needs.

Emmanuel John
Jul 11, 2025 â‹… 7 min read
Gemini CLI tutorial — Will it replace Windsurf and Cursor?

Gemini CLI tutorial — Will it replace Windsurf and Cursor?

Discover how to use Gemini CLI, Google’s new open-source AI agent that brings Gemini directly to your terminal.

Chizaram Ken
Jul 10, 2025 â‹… 8 min read
View all posts

2 Replies to "Simplifying the GraphQL data model"

  1. The whole spiel of ‘components’ seemingly has nothing to do with the final solution. You are still loading data as a graph. All you have done is load ALL the edges of the graph with each node. This allows you to more efficiently load the other nodes connected to each node. Again, you have just shifted the problem to the persistence layer where you now must load ALL these edges. Some nodes (think a UserAccount) may have many, many edges which makes this extremely in-efficient. Imagine doing 100s of joins to get all related edges in an RDBMS. A better solution is to load the edges you need in the child resolver then defer loading the actual nodes using a data-loader.

  2. Also, this does not even account for when an edge may not just be a simple foreign key in a relational database table. There could be complex ternary relations etc as well.

Leave a Reply