You can now use the Azure Cosmos DB indexing metrics, now generally available, to optimize query performance! The indexing metrics show indexes that the query engine used and index recommendations for improving query performance.
In this blog, we’ll dive into the details of the Azure Cosmos DB integrated cache! With the integrated cache, you can add caching to an existing Azure Cosmos DB workload without modifying your application’s logic.
You can now use composite indexes in Azure Cosmos DB to optimize additional cases of the most common inefficient queries! Anytime you have a slow or high RU query, you should first consider whether the query can be optimized with a composite index.
This blog is the final part of a series of blogs where we’ll demystify commonly confused concepts for developers learning how to query data using Azure Cosmos DB. Today, we’ll walk through tips and tricks for querying arrays.
In this blog, we’ll cover how to add and remove indexes using the new indexing policy editor. We’ll also highlight the differences in best practices for indexing in Azure Cosmos DB’s API for MongoDB and native MongoDB.
This blog is part two of a series of three blogs where we’ll demystify commonly confused concepts for developers learning how to query in the SQL (core) API in Azure Cosmos DB. We’ll look at the difference between null and undefined values.