Atlas Search Tutorials

Open Interactive Tutorial

Prerequisites

To complete the interactive lab, you must create the following in your Atlas account:

• A project called MDB_EDU.

• A cluster called myAtlasClusterEDU.

• A database user called myAtlasDBUser with the password myatlas-001, and the readWriteAnyDatabase permission.

About the Lab

The following lab teaches you how to create an Atlas Search index with dynamic mapping. Then, you can run a query using the text operator and display the relevance of the matched document with its score.

Click the Launch button in the in-browser Integrated Development Environment to start the lab.

After completing the tutorial, see Operators to learn about the types of queries you can run.

Prerequisites

To complete these tutorials, you must have the following:

• An Atlas cluster with MongoDB version 4.2 or higher.

• The sample data loaded into your Atlas cluster.

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

  • Search Tester

  • mongosh

  • Compass

  • C# Driver

  • Go Driver

  • Java Sync Driver

  • Kotlin Coroutine Driver

  • Node.js Driver

  • PyMongo Driver

About the Tutorials

• The How to Paginate Query Results describes how to use $skip and $limit after the $search stage to paginate query results, and the SEARCH_META Aggregation Variable to return the total documents found.

• The How to Define a Custom Analyzer and Run an Atlas Search Diacritic-Insensitive Query tutorial describes how to create an index that uses a custom analyzer and perform a diacritic-insensitive search against the sample_mflix.movies collection. The query searches the sample_mflix.movies collection for movie titles that contain the given term regardless if the term contains diacritics.

• The How to Run an Atlas Search 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 Run Atlas Search 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 Multilingual Atlas Search Queries tutorial 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 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.

• How to Run Atlas Search Queries Across Collections contains tutorials that describe how to run queries across multiple collections by first combining collections using $lookup, and $unionWith, and then running $search queries against the collections.

• The How to Run Atlas Search Queries Against Objects in Arrays tutorial demonstrates how to index fields of type string inside an array of objects and run Atlas Search queries against the indexed fields.

• 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 Atlas Search String Queries Against Date and Numeric Fields tutorial describes how to run queries against numeric and date fields using operators that support only string queries. The queries search for properties that were listed on certain dates and allow them to stay up to a certain number of days.

• The How to Sort Your Atlas Search Results tutorial describes how to index date, number, and string in the sample_mflix.movies for sorting and how to use the $search sort option to sort the results in ascending and descending order by the indexed fields.

• 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 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.

• The Update $text Queries with Atlas Search for Improved Search Performance tutorial describes how you can replace $text aggregation pipeline stage in your query with $search to improve both the flexibility and performance of these queries.

• The Use Atlas Search for Full-Text Regex Queries tutorial describes how you can replace inefficient regex matching with $search to improve the performance of text queries.

• The Perform Hybrid Search with Atlas Vector Search and Atlas Search tutorial describes how to perform a semantic search against the sample_mflix.embedded_movies collection and combine the results with Atlas Search full-text search results by using the popular hybrid search technique known as reciprocal rank fusion.