Design Microservices Architecture with Patterns and Principles - Data Partitioning: Horizontal, Vertical, and Functional

The video tutorial covers three main data partitioning strategies: horizontal, vertical, and functional. Horizontal partitioning, also known as sharding, involves dividing data into separate stores with the same schema, improving performance by distributing load across servers. Vertical partitioning splits data based on columns, allowing frequently accessed data to be stored separately for efficiency. Functional partitioning organizes data according to bounded contexts or subdomains, similar to microservices decomposition. Each method has its advantages and potential drawbacks, with horizontal partitioning being particularly useful for scaling distributed databases.

How can partition keys affect the performance of a database?

What are the disadvantages of horizontal partitioning?