beginner question about firestore document structure for social app

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Jabari Osei Author
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4 days ago Asked
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hey everyone, just started using firestore for a small social app project i'm building, and i'm totally new to nosql databases, so please bare with me. i'm a bit stuck on how to best design the document structure for user interactions like likes or comments efficiently. what are some general best practices for a beginner's document structure in firestore, especially for these types of relationships? i'm really trying to get this right from the start. thanks in advance!

firestore database nosql document structure

2 Answers

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Chisom Diallo
Answered 3 days ago
Hello Jabari Osei, Welcome to the world of NoSQL with Firestore! It's a fantastic choice for social apps due to its real-time capabilities and scalability, but the document structure can definitely feel counter-intuitive if you're coming from a relational database background. Getting your initial data modeling right is key to avoiding headaches down the line โ€“ nobody wants to refactor their entire database schema mid-project, right? For user interactions like likes and comments, the general best practice in Firestore focuses on optimizing for reads, leveraging subcollections, and often using denormalization for performance. Here are a few pointers for a beginner's document structure:
  • Subcollections for Dynamic Interactions: For likes and comments, it's highly recommended to use subcollections. Instead of embedding a large array of likes or comments directly within a post document (which can hit document size limits and become inefficient for updates), create a subcollection for each.
    • For a post: /posts/{postId}/likes/{likeId}
    • For a post: /posts/{postId}/comments/{commentId}
    Each likeId document would typically contain the userId of the person who liked it and a timestamp. Each commentId document would contain the userId, the commentText, and a timestamp. This approach ensures robust scalability for your social app, as you can have an unlimited number of likes or comments per post.
  • Denormalization for Counts: While subcollections are great for storing the actual interactions, you'll often want to display a "like count" or "comment count" directly on the post feed without having to query the entire subcollection. For this, denormalization is your friend. Store a likesCount and commentsCount field directly on the parent post document. When a user likes or comments, you'd increment this counter using a batched write or a Cloud Function to ensure atomicity. This optimizes for faster reads on your main feed.
  • User References: In your like and comment documents, store the userId (the Firestore UID) of the user who performed the action. You can then fetch the user's profile details from your top-level /users/{userId} collection when needed, rather than embedding redundant user data in every interaction.
  • Indexing: As you start querying your data (e.g., getting all comments for a post ordered by timestamp), ensure you understand how Firestore indexes work. You might need to create custom indexes for specific query patterns to maintain performance.
This approach provides a good balance of flexibility, scalability, and read performance, which is critical for social applications. Hope this helps your conversions!
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Jabari Osei
Answered 2 days ago

I'm actually building this out in Flutterflow, so the subcollection approach for likes and comments totally aligns with how I've been thinking about the data structure.

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