The $text
operator in MongoDB is used to perform a text search on one or more fields of a collection. When used in an aggregation pipeline, it can generate a relevance score for each document that matches the search query, which can be useful for sorting or ranking search results.
Here's how the $text
operator works in more detail:
$text
operator to search for text, you need to create a text index on one or more fields of the collection. You can create a text index using the db.collection.createIndex()
method with the text
index type:db.collection.createIndex({ field1: 'text', field2: 'text' })
This will create a text index on the field1
and field2
fields of the collection.
$text
operator in an aggregation pipeline: Once you have a text index, you can use the $text
operator in an aggregation pipeline to search for text. Here's an example:db.collection.aggregate([ { $match: { $text: { $search: 'search query' } } }, { $sort: { score: { $meta: 'textScore' } } } ])
In this example, we're using the $text
operator inside a $match
stage to search for the text "search query" across all fields in the collection that have a text index. MongoDB will return all documents that contain the search query, and it will also generate a score
for each document that indicates how relevant it is to the search query.
$meta
operator with the textScore
value in a $sort
stage:{ $sort: { score: { $meta: 'textScore' } } }
This will sort the search results in descending order based on the relevance score, so that the most relevant documents appear first.
$limit
operator in a final stage to limit the number of search results returned by the aggregation pipeline:{ $limit: 10 }
This will limit the search results to the first 10 documents returned by the pipeline.
That's a brief overview of how the $text
operator works in MongoDB. It's a powerful tool for performing text searches on large datasets and can be used to generate relevance scores for search results, which can be used for ranking or sorting purposes.