Elasticsearch::Model::MongoidExtensions

Elasticsearch::Model extensions for Mongoid adding support of single collection inheritance (by the way of multiple indexes), localized fields and mapped fields extraction.

Add this line to your application's Gemfile:

gem 'elasticsearch-model-mongoid_extensions'

And then execute:

$ bundle

Or install it yourself as:

$ gem install elasticsearch-model-mongoid_extensions

Using a separate index per each subclass is beneficial in case the field definitions vary across the subclasses (as it may in document oriented databases such as Mongoid). On the contrary sharing an index for all subclasses might lead into conflicts with different mappings of fields with same name.

If your subclass tree shares same field definitions, you might prefer use only one index (see the inheritance_enabled setting on ElasticSearch::Model).

class MyDoc
  include Mongoid::Document
  include Elasticsearch::Model::MongoidExtensions::SCI

  field :field_1, type: String

  mapping do
    indexes :field_1
  end
end

class MyDoc1 < MyDoc
  field :field_2, type: String

  mapping do
    indexes :field_2
  end
end

The MyDoc class will use index with name my_docs, the MyDoc1 subclass will use my_doc_1s. If you wish to customize the index name (prepend application name, append Rails environment name etc.) supply an index_name_template that will be automatically evaluated in context of each of the subclasses. Similarly a template can be used for document type.

class MyDoc
  # …
  index_name_template -> (cls) { ['elasticsearch-model-mongoid_extensions', cls.model_name.plural].join('-') }
  document_type_template -> (cls) { cls.model_name.singular }
  # …
end

Use the class methods defined on the base class to create/refresh indexes for all descending classes as well:

MyDoc.create_index! # will trigger MyDoc1.create_index! as well
MyDoc.refresh_index! # will trigger MyDoc1.refresh_index! as well

Import on base class (here MyDoc) imports all documents of descending classes as well:

MyDoc.import # will trigger MyDoc1.import as well

Indexing works as expected using the standard proxied methods:

my_doc.__elasticsearch__.index_document
my_doc.__elasticsearch__.update_document
my_doc.__elasticsearch__.delete_document

Search on base class searches descendants as well:

MyDoc.search('*') # will search MyDoc1 as well

Use the type option to limit the searched classes:

MyDoc.search('*', type: [MyDoc.document_type]) # will search only MyDoc

By including the Localized module, all Mongoid localized fields will be automatically mapped and serialized as objects:

class MyDoc3
  # …
  include Elasticsearch::Model::MongoidExtensions::Localized

  field :field_3, type: String, localize: true

  mapping do
    indexes :field_3
  end
  # …
end

The mapping will be altered, so that fields that would be originally mapped as:

{ 'field_1' => { 'type' => 'string' } }

Are automatically transformed to:

{ 'field_1' => { 'type' => 'object', 'properties' => { 'en' => { 'type' => 'string' } } } }

This happens for all I18n.available_locales.

The :as_indexed_json is automatically transformed behind the scenes to correspond with the mapping. Therefore it can be specified as usual:

def as_indexed_json(options = {})
  super(only: %i(field_1))
end

The result automatically becoming:

{ 'field_1' => { 'en' => 'value_en', 'cs' => 'value_cs' } }

TODO: it might be helpful to add support for the I18n's fallbacks, so that missing value is correctly replaced by a fallback.

The gem add to_fields method on mappings that returns all fields names as they are mapped in Elasticsearch. This is especially useful in combination with the Localized mixin as it allows to select only fields for a particular locale and use those when searching.

Having document with the following mapping:

class MyDocFields
  # …
  mapping do
    indexes :field_1
    indexes :field_2 do
      indexes :number, type: :integer, index: :not_analyzed
      indexes :string, type: :string, index: :not_analyzed
    end
  end
  # …
end

The #to_fields returns:

MyDocFields.mapping.to_fields # => ["field_1", "field_2", "field_2.number", "field_2.string"]

After checking out the repo, run bin/setup to install dependencies. Then, run rake test to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Bug reports and pull requests are welcome on GitHub at https://github.com/tomasc/elasticsearch-model-mongoid_extensions.

The gem is available as open source under the terms of the MIT License.