How to Run Atlas Search Queries with a Date Range Filter

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Required Access

Create the Atlas Search Index With Dynamic Mapping
Run a Compound Query

This tutorial describes how to create an index with dynamic mapping on the sample_mflix.movies collection. It shows how to run compound queries against the released field using the range and near operators. It takes you through the following steps:

Set up an Atlas Search index with dynamic mapping for the sample_mflix.movies collection.
Run Atlas Search compound queries against the released field in the sample_mflix.movies collection.

Before you begin, ensure that your Atlas cluster meets the requirements described in the Prerequisites.

Required Access

To create an Atlas Search index, you must have Project Data Access Admin or higher access to the project.

Create the Atlas Search Index With Dynamic Mapping

In this section, we create an Atlas Search index that uses dynamic mapping to index the fields in the sample_mflix.movies collection.

Navigate to the Atlas Search page for your project.

If it is not already displayed, select the organization that contains your desired project from the Organizations menu in the navigation bar.
If it is not already displayed, select your desired project from the Projects menu in the navigation bar.
Click your cluster's name.
Click the Search tab.

Click Create Index.

Select a Configuration Method and click Next.

For a guided experience, select Visual Editor.
To edit the raw index definition, select JSON Editor.

Enter the Index Name, and set the Database and Collection.

In the Index Name field, enter date-range-tutorial.
Note
If you name your index default, you don't need to specify an index parameter when using the $search pipeline stage. Otherwise, you must specify the index name using the index parameter.
In the Database and Collection section, find the sample_mflix database, and select the movies collection.

Specify an index definition.

You can create an Atlas Search index that uses dynamic mappings or static mappings. To learn more about dynamic and static mappings, see Static and Dynamic Mappings.

The following index definition dynamically indexes the fields of supported types in the movies collection. You can use the Visual Editor or the JSON Editor in the Atlas user interface to create the index.

Visual Editor

Click Next.
Review the "date-range-tutorial" index definition for the movies collection.

JSON Editor

Click Next.
Review the index definition.
Your index definition should look similar to the following:
```
{
  "mappings": {
    "dynamic": true
  }
}
```
The above index definition dynamically indexes the fields of supported types in each document in the movies collection.
Click Next.

Click Save Changes.

Click Create Search Index.

Close the You're All Set! Modal Window.

A modal window appears to let you know your index is building. Click the Close button.

Wait for the index to finish building.

The index should take about one minute to build. While it is building, the Status column reads Build in Progress. When it is finished building, the Status column reads Active.

Run a Compound Query

➤ Use the Select your language drop-down menu to set the language of the example on this page.

You can use the compound operator to combine two or more operators and clauses into a single query. This tutorial uses the compound operator clauses to search for movies in the specified date range. In this section, connect to your Atlas cluster and run the sample queries using the compound operator against the released field in the sample_mflix.movies collection.

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