Improve query performance using partial indexes in Amazon DocumentDB

This article explains how to use partial indexes in Amazon DocumentDB to improve query performance and optimize database operations.

Specifically, the article covers:

• Benefits of partial indexes, including improved query performance, smaller index size, selective uniqueness and deletion, and optimized write performance
• How to create a partial index using the partialFilterExpression option
• Use cases for partial indexes, such as querying a subset of data, combining multiple operators, using TTL indexes, and maintaining uniqueness in a collection
• Examples of creating partial indexes for different scenarios
• Conclusion highlighting the advantages of partial indexes in Amazon DocumentDB