Optimize query performance using indexes in Azure DocumentDB

  • Module
  • 9 Units
Intermediate
Developer
Azure Cosmos DB

Optimize query performance in Azure DocumentDB by building effective indexing strategies. Create single-field, compound, multi-key, and specialized indexes. To maintain performance at scale, analyze query execution with the explain() command and monitor index health.

Learning objectives

After completing this module, you'll be able to:

  • Explain how indexes work internally and how they affect read and write performance.
  • Create single-field, compound, multi-key, and specialized indexes based on query patterns.
  • Use the explain() command to analyze query execution and identify performance bottlenecks.
  • Monitor and optimize indexes for production workloads.

Prerequisites

  • Familiarity with database concepts such as queries, indexes, and data models.
  • Basic understanding of MongoDB or document-oriented databases.
  • Experience with insert, query, update, and delete operations in Azure DocumentDB or MongoDB.
  • An Azure subscription.
  • An Azure DocumentDB cluster.
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