Name types of the Indexes in Cosmos DB

In Azure Cosmos DB, there are two main types of indexes that can be used to optimize query performance:

  1. Range Index: Range indexes are the default index type used in Cosmos DB. They are suitable for querying data based on range comparisons, such as equality, greater than, less than, and range queries. Range indexes are automatically created for all string and numeric properties by default. They enable efficient filtering and sorting of data based on these properties.
  2. Spatial Index: Spatial indexes are used for spatial data types, such as points, polygons, and lines. They enable efficient querying and analysis of geospatial data. Spatial indexes support spatial operations like distance calculations, intersection checks, and nearest neighbor queries. You can create spatial indexes on properties that represent geospatial data.

In addition to these primary index types, Cosmos DB also provides the following indexing options:

  1. Composite Index: A composite index is a combination of multiple properties used to create a composite key for indexing. It allows efficient querying based on multiple properties in a single index. Composite indexes are useful when you frequently perform queries that involve multiple properties or sorting by multiple fields.
  2. Included Path: In Cosmos DB, you can specify included paths to include additional properties in the index for efficient querying. By including frequently accessed properties in the index, you can avoid additional lookups in the document storage and improve query performance.

It’s important to note that Cosmos DB automatically indexes all properties by default, but you can customize indexing behavior by configuring index types, indexing paths, and index options based on your specific data model and query patterns. Proper index design is crucial to ensure optimal query performance and efficient data retrieval in Azure Cosmos DB.

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