Tutorials¶

Prerequisites¶

To complete these tutorials, you must have the following:

• An Atlas cluster with MongoDB version 4.2 or higher.
• The sample datasets loaded into your Atlas cluster. You will use a collection with movie data from the Atlas sample dataset.

• One of the following applications to run queries on your Atlas cluster:

  • mongosh
  • Compass
  • Go
  • Java
  • MongoDB Node Driver
  • Pymongo

About the Tutorials¶

• The How to Use Autocomplete with Atlas Search tutorial describes how to create and query an Atlas Search index configured with an autocomplete field using the autocomplete operator. We will create the Atlas Search index on the sample_mflix.movies collection and index title field text values for autocompletion. We will run Atlas Search queries using the autocomplete operator to search the indexed field for a sequence of characters.
• The How to run Compound Queries with Weighted Fields tutorial describes how to create a dynamic index and run compound queries with custom scoring. The queries search the sample_mflix.movies collection and alter the relevance score of the documents in the result using constant, boost, and function options.
• The How to use Facets with Atlas Search tutorial describes how to create an index with a facet definition for the sample_mflix.movies collection and run queries against the faceted fields for results grouped by values and ranges in the specified, faceted fields, including a count for each of those groups.
• The How to use Synonyms with Atlas Search tutorial describes how to add a collection that configures words as synonyms, create an index that defines synonym mappings on the sample_mflix.movies collection, and run Atlas Search queries against the title field using words that are configured as synonyms.