Introduction to Single Table Design

The main concept behind single table design is to organize your data in a way that allows you to retrieve all the data you need to solve a specific access pattern with a single query. The goal is to design your table in such a way that you can fulfill all your access patterns with the least number of requests to DynamoDB, ideally just one.

Single table design is based on the idea of denormalization, where you store related data together in a single table rather than spreading it across multiple tables. By doing so, you eliminate the need for complex joins and enable efficient queries that retrieve all the required data at once.

To effectively implement single table design, you need to carefully consider your access patterns and design your table schema accordingly. Each access pattern should have a corresponding index or set of attributes that allow you to retrieve the required data efficiently.

By leveraging single table design, you can achieve high performance and scalability in DynamoDB while minimizing the number of requests and simplifying your application logic.

Additionally, you may find the following resource helpful:

• 7 Common DynamoDB Patterns for Modeling and Building an App with Alex De Brie: This video provides insights into various patterns and strategies for effectively modeling your data in DynamoDB.

Implementing single table design requires careful planning and understanding of your application's requirements and access patterns. It is recommended to review the provided resources and explore further documentation to design your DynamoDB table effectively.