Atlas Search Indexes
It is the mapping between terms and documents that contain those terms, to enable faster retrieval of documents using certain identifiers. We can map the fields to index using the following:
- Dynamic Mapping: it automatically defines and indexes all the supported field types in the documents but it is stored on disk which may negatively impact the cluster performance.
- Static Mapping: It allows the user to explicitly define which fields to index and it optimizes the performance by providing advanced search requirements.
MongoDB Atlas Search
MongoDB Atlas Search is a full-text search solution that is integrated into MongoDB Atlas, to provide a seamless and scalable experience for building relevance-based search queries.
In today’s digital world, the ability to quickly and efficiently search through vast amounts of data is important. Whether you’re building an e-commerce platform, a travel app, or any other application that depends on data retrieval, having a powerful search functionality can make all the difference.
In this MongoDB Atlas Search tutorial, we will discuss its use cases, and go through some examples with different text searches to demonstrate how we can use it to enhance the search experience in our applications.
Table of Content
- What is Atlas Search?
- MongoDB Atlas Search Features
- MongoDB Atlas Search Architecture
- Atlas Search Indexes
- Create Atlas Search Index
- MongoDB Atlas Search Example
- Use Cases of MongoDB Atlas Search
- Difference Between MongoDB Search and Atlas Search