To complete the interactive lab, you must create the following in your Atlas account:
A project called
A cluster called
A database user called
myAtlasDBUserwith the password
myatlas-001, and the
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.
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 applications to run queries on your Atlas cluster:
You can also complete these tutorials with local Atlas deployments that you create with the Atlas CLI. To learn more, see Create a Local Atlas Deployment.
How to Build Applications with Atlas Search and Atlas App Services contains tutorials that describe how to use Atlas App Services and Atlas Search to build a search UI and add reverse search to your application.
The How to Check for Null and Non-Null Values with Atlas Search tutorial describes how to add documents containing
nullvalues and create a dynamic index on the
sample_mflix.userscollection. The queries search the
The How to Paginate Query Results describes how to use
$searchstage to paginate query results, and the
SEARCH_METAAggregation 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.moviescollection. The query searches the
sample_mflix.moviescollection 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.listingsAndReviewscollection and run a query that returns documents with the
property_typeof 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.moviescollection and alter the relevance score of the documents in the result using
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.moviescollection. The queries search the
sample_mflix.moviescollection 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.moviescollection 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
$unionWith, and then running
$searchqueries 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
rangeoperator. The queries search the
sample_mflix.moviescollection 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.moviesfor sorting and how to use the
sortoption 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
autocompletefield using the
autocompleteoperator. We will create the Atlas Search index on the
sample_mflix.moviescollection and index
titlefield text values for autocompletion. We will run Atlas Search queries using the
autocompleteoperator 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.moviescollection 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.moviescollection, and run Atlas Search queries against the
titlefield using words that are configured as synonyms.
Want more Atlas Search content?
Take Unit 9 of the Intro To MongoDB Course on MongoDB University for an overview of Atlas Search and lessons on creating Atlas Search indexes, running
$searchqueries using compound operators, and grouping results using facet.
Visit the MongoDB Developer Center for more real-world Atlas Search examples.
Try the full-text search examples in the Practical MongoDB Aggregations Book.
Follow along with this video to learn how to configure your Atlas Search index and run queries from your application.
Duration: 7 Minutes