Keyword Analyzer

Example

The following example index definition specifies an index on the title field in the sample_mflix.movies collection using the keyword analyzer. If you loaded the collection on your cluster, you can create the example index using the Atlas UI Visual Editor or the JSON Editor. After you select your preferred configuration method, select the database and collection.

The following query searches for the phrase Class Action in the title field.

db.movies.aggregate([
  {
    "$search": {
      "text": {
         "query": "Class Action",
         "path": "title"
      }
    }
  },
  {
    "$project": {
      "_id": 0,
      "title": 1
    }
  }
])

[
  {
    title: 'Class Action'
  }
]

Atlas Search returned the document because it matched the query term Class Action to the single token Class Action that it creates for the text in the field using the lucene.keyword analyzer. By contrast, Atlas Search doesn't return any results for the following query:

db.cases.aggregate([
  {
    "$search": {
      "text": {
        "query": "action",
        "path": "title"
      }
    }
  }
])

Many documents in the collection contain the string action, but the keyword analyzer only matches documents in which the search term matches the entire contents of the field exactly. For the preceding query, the keyword analyzer wouldn't return any results. However, if you indexed the field using the Standard Analyzer or Simple Analyzer, Atlas Search would return multiple documents in the results, including the document with the title field value Class Action, because it would create tokens similar to the following, which it would then match to the query term: