Indexing & Search
Indexing & Search
MongoDB Atlas comes with a full-text search engine that can be used to search for documents in a collection.
Atlas Search is powered by Apache Lucene.
Creating an Index
We'll use the Atlas dashboard to create an index on the "sample_mflix" database from the sample data that we loaded in the Intro to Aggregations section.
- From the Atlas dashboard, click on your Cluster name then the Search tab.
- Click on the Create Search Index button.
- Use the Visual Editor and click Next.
- Name your index, choose the Database and Collection you want to index and click Next.
- If you name your index "default" you will not have to specify the index name in the
$search
pipeline stage. - Choose the
sample_mflix
database and themovies
collection.
- If you name your index "default" you will not have to specify the index name in the
- Click Create Search Index and wait for the index to complete.
Running a Query
To use our search index, we will use the $search
operator in our aggregation pipeline.
Example
db.movies.aggregate([
{
$search: {
index: "default", // optional unless you named your index something other than "default"
text: {
query: "star wars",
path: "title"
},
},
},
{
$project: {
title: 1,
year: 1,
}
}
])
Try it Yourself »
The first stage of this aggregation pipeline will return all documents in the
movies
collection that contain the word "star" or "wars" in the
title
field.
The second stage will project the title
and year
fields from each document.