You're reading from Practical MongoDB Aggregations

Product typeBook

Published inSep 2023

PublisherPackt

ISBN-139781835080641

Edition1st Edition

Tools

MongoDB

Concepts

Database Programming

Author (1)

Paul Done

Create an Atlas Search index

To complete the examples in Chapter 13, Full-Text Search Examples, you need to use a MongoDB Atlas cluster rather than a self-managed MongoDB deployment. The simplest way to provision an Atlas cluster is to create a free-tier cluster (see https://www.mongodb.com/cloud/atlas). Once created, you can use the following steps to create a search index:

First, in the Atlas (see https://cloud.mongodb.com/) console, for your database cluster, click the Search tab and then click Create Search Index:

Select JSON Editor and then click Next:

Leave Index Name as default, select the Database and Collection you require, paste in your JSON index definition, and then click Next:

On the review screen, click Create Search Index to finish:

It may take a few minutes for the system to generate the text search index.

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Author (1)

Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. He has previously held roles in various software disciplines, including engineering, consulting, and pre-sales, at companies like Oracle, Novell, and BEA Systems. Paul specializes in databases and middleware, focusing on resiliency, scalability, transactions, event processing, and applying evolvable data model approaches. He spent most of the early 2000s building Java EE (J2EE) transactional systems on WebLogic, integrated with relational databases like Oracle RAC and messaging systems like MQ Series.
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