Can you mix different document types in the same container in Cosmos DB? Why would you do it?
Yes, you can mix different document types within the same container in Cosmos DB. Cosmos DB is a schema-agnostic database, which means it does not enforce a fixed schema for documents. Each document can have its own structure and properties.
There are several reasons why you might choose to mix different document types within the same container:
- Simplified Data Management: Storing different document types in the same container can simplify data management by allowing you to group related documents together. For example, if you have a social media application, you could store user profiles, posts, comments, and likes in a single container for easy access and management.
- Data Aggregation and Joins: Storing related document types in the same container enables efficient data aggregation and joins. It allows you to retrieve and analyze data across different document types without the need for complex cross-container queries or joins.
- Atomic Transactions: Mixing document types in the same container enables the use of atomic transactions within the container. Transactions allow you to perform multiple operations across different document types as a single atomic unit, ensuring consistency and data integrity.
- Flexible Data Model Evolution: With a schema-agnostic approach, mixing document types in the same container allows for flexible data model evolution. You can easily add, remove, or modify properties within individual document types without affecting other document types in the container. This flexibility simplifies the evolution of your application’s data model over time.
- Simplified Scaling and Management: Storing multiple document types in the same container simplifies scaling and management efforts. You can provision and scale throughput at the container level, ensuring that all document types within the container benefit from the same level of performance and scalability.
However, while mixing different document types within the same container offers flexibility and simplicity, it’s important to carefully design and manage the data model to ensure efficient querying and avoid performance issues. You should consider the access patterns, relationships between document types, and the potential impact on indexing and query performance when deciding to mix document types within a container.