Why not put users, posts and comments in just one container in Cosmos DB?
While it is technically possible to store users, posts, and comments in a single container in Azure Cosmos DB, it may not always be the most ideal or scalable approach. Here are a few reasons why you might consider separating them into different containers:
- Data Separation and Organization:
- Storing users, posts, and comments in separate containers allows for better data separation and organization. Each container represents a distinct entity or data type, making it easier to manage, query, and reason about the data. It also allows for more focused indexing, throughput provisioning, and fine-grained access control.
- Different Access Patterns and Query Requirements:
- Users, posts, and comments often have different access patterns and query requirements. Separating them into different containers enables you to optimize indexing, partitioning, and query performance for each specific entity. This can result in better query performance and resource utilization.
- Scalability and Throughput:
- Separating entities into different containers allows you to scale and provision throughput independently based on their specific needs. For example, if comments have higher read and write throughput requirements compared to users or posts, you can allocate more throughput to the comments container while keeping it separate from the other entities.
- Relationships and Joins:
- If there are relationships and joins between users, posts, and comments, separating them into different containers can make it easier to manage those relationships. You can leverage the partition key and references to establish relationships between entities across containers while still maintaining data separation and isolation.
- Security and Compliance:
- Separating users, posts, and comments into different containers can help enforce security and compliance requirements. For example, you might want to apply different access control policies or encryption mechanisms to each entity type to ensure data privacy and compliance with regulations.
While combining users, posts, and comments in a single container may offer simplicity, it can introduce challenges as the data volume and complexity grow. Query performance, scalability, data management, and security considerations are better addressed by separating them into distinct containers, providing greater flexibility, control, and performance optimization for each entity type.