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.

• 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 Run Atlas Search Queries with a Date Range Filter tutorial describes how to create a dynamic index and run compound queries that use the range operator. The queries search the sample_mflix.movies collection for movies between a specified date range.
• The How to Run a Compound Geo JSON Query tutorial describes how to create an index on the sample_airbnb.listingsAndReviews collection and run a query that returns documents with the name, address, and property_type of each property within a specified polygon defined using coordinates. Atlas Search results reflect a preference for properties of type condominium, and each document in the result is assigned a relevance score, returned in order from highest to lowest.
• 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 Run Queries on Multiple Collections tutorial describes how to index and query on multiple collections using a combination of On-Demand Materialized Views and Atlas App Services Scheduled Triggers.
• The How to Run Partial Match Atlas Search Queries tutorial describes how to create an index on the sample_mflix.movies collection and run case-sensitive partial match queries against the indexed field using autocomplete, phrase, regex, and wildcard operators.
• The How to Use Synonyms with Atlas Search 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.
• The How to Run Multilingual Atlas Search Queries describes how to create an index that uses a language analyzer and perform a multilingual search against the sample_mflix.movies collection. The queries search the sample_mflix.movies collection for full movie plots that contain a multilingual term.
• The How to Run Atlas Search String Queries Against Date and Numeric Fields describes how to run queries against numeric and date fields using operators that only support string queries. The queries search for properties that were listed on certain dates and allow stay of up to certain number of days.