Mongoid Search
============

Mongoid Search is a simple full text search implementation for Mongoid ORM. It performs well for small data sets. If your searchable model is big (i.e. 1.000.000+ records), solr or sphinx may suit you better.

Installation
--------

In your Gemfile:

    gem 'mongoid_search'

If your project is still using mongoid 2.x.x, stick to mongoid_search 0.2.x:

    gem 'mongoid_search', '~> 0.2.8'

Then:

    bundle install

Examples
--------

    class Product
      include Mongoid::Document
      include Mongoid::Search
      field :brand
      field :name

      has_many   :tags
      belongs_to :category

      search_in :brand, :name, :tags => :name, :category => :name
    end

    class Tag
      include Mongoid::Document
      field :name

      belongs_to :product
    end

    class Category
      include Mongoid::Document
      field :name

      has_many :products
    end

Now when you save a product, you get a _keywords field automatically:

    p = Product.new :brand => "Apple", :name => "iPhone"
    p.tags << Tag.new(:name => "Amazing")
    p.tags << Tag.new(:name => "Awesome")
    p.tags << Tag.new(:name => "Superb")
    p.save
    => true
    p._keywords
    => ["amazing", "apple", "awesome", "iphone", "superb"]

Now you can run search, which will look in the _keywords field and return all matching results:

    Product.full_text_search("apple iphone").size
    => 1

Note that the search is case insensitive, and accept partial searching too:

    Product.full_text_search("ipho").size
    => 1

Assuming you have a category with multiple products you can use the following
code to search for 'iphone' in products cheaper than $499

    @category.products.where(:price.lt => 499).full_text_search('iphone').asc(:price)


Options
-------

match:

  _:any_ - match any occurrence

  _:all_ - match all ocurrences

  Default is _:any_.

    Product.full_text_search("apple motorola", match: :any).size
    => 1

    Product.full_text_search("apple motorola", match: :all).size
    => 0

allow\_empty\_search:

  _true_ - will return Model.all

  _false_ - will return []

  Default is _false_.

    Product.full_text_search("", allow_empty_search: true).size
    => 1

relevant_search:

  _true_ - Adds relevance information to the results

  _false_ - No relevance information

  Default is _false_.

    Product.full_text_search('amazing apple', relevant_search: true)
    => [#<Product _id: 5016e7d16af54efe1c000001, _type: nil, brand: "Apple", name: "iPhone", attrs: nil, info: nil, category_id: nil, _keywords: ["amazing", "apple", "awesome", "iphone", "superb"], relevance: 2.0>]

 Please note that relevant_search will return an Array and not a Criteria object. The search method shoud always be called in the end of the method chain.

Initializer
-----------

Alternatively, you can create an initializer to setup those options:

    Mongoid::Search.setup do |config|
      ## Default matching type. Match :any or :all searched keywords
      config.match = :any

      ## If true, an empty search will return all objects
      config.allow_empty_search = false

      ## If true, will search with relevance information
      config.relevant_search = false

      ## Stem keywords
      config.stem_keywords = false

      ## Words to ignore
      config.ignore_list = []

      ## An array of words
      # config.ignore_list = %w{ a an to from as }

      ## Or from a file
      # config.ignore_list = YAML.load(File.open(File.dirname(__FILE__) + '/config/ignorelist.yml'))["ignorelist"]

      ## Search using regex (slower)
      config.regex_search = true

      ## Regex to search

      ## Match partial words on both sides (slower)
      config.regex = Proc.new { |query| /#{query}/ }

      ## Match partial words on the beginning or in the end (slightly faster)
      # config.regex = Proc.new { |query| /ˆ#{query}/ }
      # config.regex = Proc.new { |query| /#{query}$/ }

      # Ligatures to be replaced
      # http://en.wikipedia.org/wiki/Typographic_ligature
      config.ligatures = { "œ"=>"oe", "æ"=>"ae" }

      # Minimum word size. Words smaller than it won't be indexed
      config.minimum_word_size = 2
    end