Build an Index with Static Field Mappings
In this guide, you will learn how to index only specified fields in documents by creating an index with static field mappings. This allows you to perform more targeted searches.
Time required: 15 minutes
What You'll Need
A MongoDB account. See Sign Up for a MongoDB Account.
An Atlas cluster. See Create a Cluster.
Sample datasets loaded into your cluster.
Navigate to the Database Deployments page for your project.
Click the Collections tab.
Create a static search index.
In the right-hand pane, click
then click the
Click Search Indexes in the upper right of the collection preview pane.
Click Create Search Index.
Click the Visual Editor configuration method, then click Next.
Review the Database and Collection list to
sample_supplies.sales is selected, then click
Run a query on your index.
On the Search Tester page, type
London into the search bar, then click
Review the results.
Your results should include the fields listed in the following sample documents.
SCORE: 0.8888952136039734 salesDate: 2017-12-03T18:39:48.253+00:00 items: Array storeLocation: "London" SCORE: 0.8888952136039734 salesDate: 2015-05-15T13:43:24.561+00:00 items: Array storeLocation: "London" SCORE: 0.8888952136039734 salesDate: 2016-02-06T09:35:02.820+00:00 items: Array storeLocation: "London"
Each record also includes a relevance score.
You can expand
Object fields to view their
contents by clicking on them.
online into the search bar, then click
Even though some records include the string
online in the
purchaseMethod field, no records appear. The index only has
a mapping for the
storeLocation field, meaning Atlas Search
will only return records with matching values in the
Click Edit Query Syntax. The modal window displays the query sent through the Atlas Search API.
If you successfully completed the procedure in this guide, you have created an Atlas Search index with a static field mapping, and used it to perform a targeted relevance-based search. In the next guide, you will learn how to perform compound searches against specific fields using the aggregation pipeline.
Retrieve documents in MongoDB with a query on multiple fields.