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Mongoid Fulltext Search

Full-text search using n-gram matching for the Mongoid ODM. Works for MongoDB 1.6, support for 1.8 coming soon.

Some examples:

Suppose you have an Artist model and want to index each artist's name:

class Artist
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :first_name
  field :last_name

  def name
    [first_name, last_name].join(' ')
  end

  fulltext_search_in :name
end

The fulltext_search_in directive will index the full name of the artist, so now you can call:

Artist.fulltext_search("vince vangogh")

which will return an array of the Artist instances that best match the search string. Most likely, Vincent van Gogh will be included in the results. You can index multiple fields with the same index, so we can get the same effect of our Artist index above using:

class Artist
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :first_name
  field :last_name

  fulltext_search_in :first_name, :last_name
end

To restrict the number of results returned, pass the :max_results parameter to fulltext_search:

Artist.fulltext_search("vince vangogh", :max_results => 5)

If you don't specify a field to index, the default is the result of to_s called on the object. The following definition will index the first and last name of an artist:

class Artist
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :first_name
  field :last_name

  def to_s
    '%s %s' % [first_name, last_name]
  end

  fulltext_search_in
end 

The full-text index is stored in a separate MongoDB collection in the same database as the models you're indexing. By default, the name of this collection is generated for you. Above, a collection named something like mongoid_fulltext.index_artist_0 will be created to hold the index data. You can override this naming and provide your own collection name with the :index_name parameter:

class Artwork
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :title
  fulltext_search_in :title, :index_name => 'mongoid_fulltext.foobar'
end

You can also create multiple indexes on a single model, in which case you'll want to provide index names:

class Artwork
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :title
  field :artist_name
  field :gallery_name
  filed :gallery_address

  fulltext_search_in :title, :index_name => 'title_index'
  fulltext_search_in :artist_name, :index_name => 'artist_name_index'
  fulltext_search_in :gallery_name, :gallery_address, :index_name => 'gallery_index'
end

The index names are helpful now because you'll have to specify which one you want to use when you call fulltext_search:

Artwork.fulltext_search('warhol', :index => 'artist_name_index')

If you have multiple indexes specified and you don't supply a name to fulltext_search, the method call will raise an exception.

If you're indexing multiple models, you may find that you need to combine results to create a single result set. For example, if both the Artist model and the Artwork model are indexed for full-text search, then to get results from both, you'd have to call Artist.fulltext_search and Artwork.fulltext_search and combine the results yourself. If your intention is instead to get the top k results from both Artists and Artworks, you can merge both into a single index by using the same :external_index parameter:

class Artwork
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :title
  fulltext_search_in :title, :index_name => 'artwork_and_artists'
end

class Artist
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :name
  fulltext_search_in :name, :index_name => 'artwork_and_artists'
end

Now that these two models share the same external index collection, we can search them both through either model's fulltext_search method:

Artwork.fulltext_search('picasso')  # returns same results as Artist.fulltext_search('picasso')

If you want to filter the results from full-text search, you set up filters when the indexes are defined. For example, suppose that in addition to wanting to use the artwork_and_artists index defined above to search for Artworks or Artists, we want to be able to run full-text searches for artists only and for artworks priced above $10,000. Instead of creating two new indexes or attempting to filter the results after the query is run, we can specify the filter predicates at the time of index definition:

class Artwork
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :title
  field :price
  fulltext_search_in :title, :index_name => 'artwork_and_artists',
                     :filters => { :is_expensive => lambda { |x| x.price > 10000 },
                                   :has_long_name => lambda { |x| x.title.length > 20 }}
end

class Artist
  include Mongoid::Document
  include Mongoid::FullTextSearch

  field :name
  field :birth_year
  fulltext_search_in :name, :index_name => 'artwork_and_artists',
                     :filters => { :born_before_1900 => lambda { |x| x.birth_year < 1900 },
                                   :has_long_name => lambda { |x| x.name.length > 20}}
end

After defining filters, you can query for results that match particular values of filters:

# Only return artists born before 1900 that match 'foobar'
Artist.fulltext_search('foobar', :born_before_1900 => true)

# Return artists or artworks that match 'foobar' and have short names
Artist.fulltext_search('foobar', :has_long_name => false)

# Only return artworks with prices over 10000 that match 'mona lisa'
Artwork.fulltext_search('mona lisa', :is_expensive => true)

# Only return artworks with prices less than 10000 that match 'mona lisa'
Artwork.fulltext_search('mona lisa', :is_expensive => false)

Note that in all of the example queries above, supplying a filter that is defined on exactly one of the models will restrict the search to results from that model only. For example, since :is_expensive is defined only on Artworks, a call to fulltext_search with either :is_expensive => true or :is_expensive => false will return only Artwork results.

You can specify multiple filters per index and per model. Each filter is a predicate that will be called on objects as they're inserted into the full-text index (any time the model is saved.) Filters are only called on instances of models they're defined on, so in the example above, the is_expensive filter is only applied to instances of Artwork and the born_before_1900 filter is only applied to instances of Artist, although both filters can be used when querying from either model. The has_long_name filter, on the other hand, will return instances of both Artwork and Artist since it's defined on each model

Filters shouldn't ever throw, but if they do, the filter is just ignored. If you apply filters to indexes that are on multiple fields, the filter is applied to each field and the filter result is the AND of all of the individual results for each of the fields. Finally, if a filter is defined but criteria for that filter aren't passed to fulltext_search, the result is as if the filter had never been defined - you see both models that both pass and fail the filter in the results.

Running the specs

To run the specs, execute rake spec. You need a local MongoDB instance to run the specs.