Sunspot

Sunspot is a Ruby library for expressive, powerful interaction with the Solr search engine. Sunspot is built on top of the RSolr library, which provides a low-level interface for Solr interaction; Sunspot provides a simple, intuitive, expressive DSL backed by powerful features for indexing objects and searching for them.

Sunspot is designed to be easily plugged in to any ORM, or even non-database-backed objects such as the filesystem.

This README provides a high level overview; class-by-class and method-by-method documentation is available in the API reference.

For questions about how to use Sunspot in your app, please use the Sunspot Mailing List or search Stack Overflow.

Quickstart with Rails 3 / 4

Add to Gemfile:

gem 'sunspot_rails'
gem 'sunspot_solr' # optional pre-packaged Solr distribution for use in development

Bundle it!

bundle install

Generate a default configuration file:

rails generate sunspot_rails:install

If sunspot_solr was installed, start the packaged Solr distribution with:

bundle exec rake sunspot:solr:start # or sunspot:solr:run to start in foreground

Setting Up Objects

Add a searchable block to the objects you wish to index.

class Post < ActiveRecord::Base
  searchable do
    text :title, :body
    text :comments do
      comments.map { |comment| comment.body }
    end

    boolean :featured
    integer :blog_id
    integer :author_id
    integer :category_ids, :multiple => true
    double  :average_rating
    time    :published_at
    time    :expired_at

    string  :sort_title do
      title.downcase.gsub(/^(an?|the)/, '')
    end
  end
end

text fields will be full-text searchable. Other fields (e.g., integer and string) can be used to scope queries.

Searching Objects

Post.search do
  fulltext 'best pizza'

  with :blog_id, 1
  with(:published_at).less_than Time.now
  order_by :published_at, :desc
  paginate :page => 2, :per_page => 15
  facet :category_ids, :author_id
end

Search In Depth

Given an object Post setup in earlier steps ...

Full Text

# All posts with a `text` field (:title, :body, or :comments) containing 'pizza'
Post.search { fulltext 'pizza' }

# Posts with pizza, scored higher if pizza appears in the title
Post.search do
  fulltext 'pizza' do
    boost_fields :title => 2.0
  end
end

# Posts with pizza, scored higher if featured
Post.search do
  fulltext 'pizza' do
    boost(2.0) { with(:featured, true) }
  end
end

# Posts with pizza *only* in the title
Post.search do
  fulltext 'pizza' do
    fields(:title)
  end
end

# Posts with pizza in the title (boosted) or in the body (not boosted)
Post.search do
  fulltext 'pizza' do
    fields(:body, :title => 2.0)
  end
end

Phrases

Solr allows searching for phrases: search terms that are close together.

In the default query parser used by Sunspot (dismax), phrase searches are represented as a double quoted group of words.

# Posts with the exact phrase "great pizza"
Post.search do
  fulltext '"great pizza"'
end

If specified, query_phrase_slop sets the number of words that may appear between the words in a phrase.

# One word can appear between the words in the phrase, so "great big pizza"
# also matches, in addition to "great pizza"
Post.search do
  fulltext '"great pizza"' do
    query_phrase_slop 1
  end
end

Phrase Boosts

Phrase boosts add boost to terms that appear in close proximity; the terms do not have to appear in a phrase, but if they do, the document will score more highly.

# Matches documents with great and pizza, and scores documents more
# highly if the terms appear in a phrase in the title field
Post.search do
  fulltext 'great pizza' do
    phrase_fields :title => 2.0
  end
end

# Matches documents with great and pizza, and scores documents more
# highly if the terms appear in a phrase (or with one word between them)
# in the title field
Post.search do
  fulltext 'great pizza' do
    phrase_fields :title => 2.0
    phrase_slop   1
  end
end

Scoping (Scalar Fields)

Fields not defined as text (e.g., integer, boolean, time, etc...) can be used to scope (restrict) queries before full-text matching is performed.

Positive Restrictions

# Posts with a blog_id of 1
Post.search do
  with(:blog_id, 1)
end

# Posts with an average rating between 3.0 and 5.0
Post.search do
  with(:average_rating, 3.0..5.0)
end

# Posts with a category of 1, 3, or 5
Post.search do
  with(:category_ids, [1, 3, 5])
end

# Posts published since a week ago
Post.search do
  with(:published_at).greater_than(1.week.ago)
end

Negative Restrictions

# Posts not in category 1 or 3
Post.search do
  without(:category_ids, [1, 3])
end

# All examples in "positive" also work negated using `without`

Empty Restrictions

# Passing an empty array is equivalent to a no-op, allowing you to replace this...
Post.search do
  with(:category_ids, id_list) if id_list.present?
end

# ...with this
Post.search do
  with(:category_ids, id_list)
end

Disjunctions and Conjunctions

# Posts that do not have an expired time or have not yet expired
Post.search do
  any_of do
    with(:expired_at).greater_than(Time.now)
    with(:expired_at, nil)
  end
end

# Posts with blog_id 1 and author_id 2
Post.search do
  all_of do
    with(:blog_id, 1)
    with(:author_id, 2)
  end
end

Disjunctions and conjunctions may be nested

Post.search do
  any_of do
    with(:blog_id, 1)
    all_of do
      with(:blog_id, 2)
      with(:category_ids, 3)
    end
  end
end

Combined with Full-Text

Scopes/restrictions can be combined with full-text searching. The scope/restriction pares down the objects that are searched for the full-text term.

# Posts with blog_id 1 and 'pizza' in the title
Post.search do
  with(:blog_id, 1)
  fulltext("pizza")
end

Pagination

All results from Solr are paginated

The results array that is returned has methods mixed in that allow it to operate seamlessly with common pagination libraries like will_paginate and kaminari.

By default, Sunspot requests the first 30 results from Solr.

search = Post.search do
  fulltext "pizza"
end

# Imagine there are 60 *total* results (at 30 results/page, that is two pages)
results = search.results # => Array with 30 Post elements

search.total           # => 60

results.total_pages    # => 2
results.first_page?    # => true
results.last_page?     # => false
results.previous_page  # => nil
results.next_page      # => 2
results.out_of_bounds? # => false
results.offset         # => 0

To retrieve the next page of results, recreate the search and use the paginate method.

search = Post.search do
  fulltext "pizza"
  paginate :page => 2
end

# Again, imagine there are 60 total results; this is the second page
results = search.results # => Array with 30 Post elements

search.total           # => 60

results.total_pages    # => 2
results.first_page?    # => false
results.last_page?     # => true
results.previous_page  # => 1
results.next_page      # => nil
results.out_of_bounds? # => false
results.offset         # => 30

A custom number of results per page can be specified with the :per_page option to paginate:

search = Post.search do
  fulltext "pizza"
  paginate :page => 1, :per_page => 50
end

Faceting

Faceting is a feature of Solr that determines the number of documents that match a given search and an additional criterion. This allows you to build powerful drill-down interfaces for search.

Each facet returns zero or more rows, each of which represents a particular criterion conjoined with the actual query being performed. For field facets, each row represents a particular value for a given field. For query facets, each row represents an arbitrary scope; the facet itself is just a means of logically grouping the scopes.

Field Facets

# Posts that match 'pizza' returning counts for each :author_id
search = Post.search do
  fulltext "pizza"
  facet :author_id
end

search.facet(:author_id).rows.each do |facet|
  puts "Author #{facet.value} has #{facet.count} pizza posts!"
end

Query Facets

# Posts faceted by ranges of average ratings
search = Post.search do
  facet(:average_rating) do
    row(1.0..2.0) do
      with(:average_rating, 1.0..2.0)
    end
    row(2.0..3.0) do
      with(:average_rating, 2.0..3.0)
    end
    row(3.0..4.0) do
      with(:average_rating, 3.0..4.0)
    end
    row(4.0..5.0) do
      with(:average_rating, 4.0..5.0)
    end
  end
end

# e.g.,
# Number of posts with rating withing 1.0..2.0: 2
# Number of posts with rating withing 2.0..3.0: 1
search.facet(:average_rating).rows.each do |facet|
  puts "Number of posts with rating withing #{facet.value}: #{facet.count}"
end

Range Facets

# Posts faceted by range of average ratings
Sunspot.search(Post) do
  facet :average_rating, :range => 1..5, :range_interval => 1
end

Ordering

By default, Sunspot orders results by "score": the Solr-determined relevancy metric. Sorting can be customized with the order_by method:

# Order by average rating, descending
Post.search do
  fulltext("pizza")
  order_by(:average_rating, :desc)
end

# Order by relevancy score and in the case of a tie, average rating
Post.search do
  fulltext("pizza")

  order_by(:score, :desc)
  order_by(:average_rating, :desc)
end

# Randomized ordering
Post.search do
  fulltext("pizza")
  order_by(:random)
end

Grouping

Solr 3.3 and above

Solr supports grouping documents, similar to an SQL GROUP BY. More information about result grouping/field collapsing is available on the Solr Wiki.

Grouping is only supported on string fields that are not multivalued. To group on a field of a different type (e.g., integer), add a denormalized string type

class Post < ActiveRecord::Base
  searchable do
    # Denormalized `string` field because grouping can only be performed
    # on string fields
    string(:blog_id_str) { |p| p.blog_id.to_s }
  end
end

# Returns only the top scoring document per blog_id
search = Post.search do
  group :blog_id_str
end

search.group(:blog_id_str).matches # Total number of matches to the query

search.group(:blog_id_str).groups.each do |group|
  puts group.value # blog_id of the each document in the group

  # By default, there is only one document per group (the highest
  # scoring one); if `limit` is specified (see below), multiple
  # documents can be returned per group
  group.results.each do |result|
    # ...
  end
end

Additional options are supported by the DSL:

# Returns the top 3 scoring documents per blog_id
Post.search do
  group :blog_id_str do
    limit 3
  end
end

# Returns document ordered within each group by published_at (by
# default, the ordering is score)
Post.search do
  group :blog_id_str do
    order_by(:average_rating, :desc)
  end
end

# Facet count is based on the most relevant document of each group
# matching the query (>= Solr 3.4)
Post.search do
  group :blog_id_str do
    truncate
  end

  facet :blog_id_str, :extra => :any
end

Geospatial

Sunspot 2.0 only

Sunspot 2.0 supports geospatial features of Solr 3.1 and above.

Geospatial features require a field defined with latlon:

class Post < ActiveRecord::Base
  searchable do
    # ...
    latlon(:location) { Sunspot::Util::Coordinates.new(lat, lon) }
  end
end

Filter By Radius

# Searches posts within 100 kilometers of (32, -68)
Post.search do
  with(:location).in_radius(32, -68, 100)
end

Filter By Radius (inexact with bbox)

# Searches posts within 100 kilometers of (32, -68) with `bbox`. This is
# an approximation so searches run quicker, but it may include other
# points that are slightly outside of the required distance
Post.search do
  with(:location).in_radius(32, -68, 100, :bbox => true)
end

Filter By Bounding Box

# Searches posts within the bounding box defined by the corners (45,
# -94) to (46, -93)
Post.search do
  with(:location).in_bounding_box([45, -94], [46, -93])
end

Sort By Distance

# Orders documents by closeness to (32, -68)
Post.search do
  order_by_geodist(:location, 32, -68)
end

Highlighting

Highlighting allows you to display snippets of the part of the document that matched the query.

The fields you wish to highlight must be stored.

class Post < ActiveRecord::Base
  searchable do
    # ...
    text :body, :stored => true
  end
end

Highlighting matches on the body field, for instance, can be acheived like:

search = Post.search do
  fulltext "pizza" do
    highlight :body
  end
end

# Will output something similar to:
# Post #1
#   I really love *pizza*
#   *Pizza* is my favorite thing
# Post #2
#   Pepperoni *pizza* is delicious
search.hits.each do |hit|
  puts "Post ##{hit.primary_key}"

  hit.highlights(:body).each do |highlight|
    puts "  " + highlight.format { |word| "*#{word}*" }
  end
end

Functions

TODO

More Like This

Sunspot can extract related items using more_like_this. When searching for similar items, you can pass a block with the following options:

• fields :field_1[, :field_2, ...]
• minimum_term_frequency ##
• minimum_document_frequency ##
• minimum_word_length ##
• maximum_word_length ##
• maximum_query_terms ##
• boost_by_relevance true/false

class Post < ActiveRecord::Base
  searchable do
    # The :more_like_this option must be set to true
    text :body, :more_like_this => true
  end
end

post = Post.first

results = Sunspot.more_like_this(post) do
  fields :body
  minimum_term_frequency 5
end

Indexes In Depth

TODO

Index-Time Boosts

To specify that a field should be boosted in relation to other fields for all queries, you can specify the boost at index time:

class Post < ActiveRecord::Base
  searchable do
    text :title, :boost => 5.0
    text :body
  end
end

Stored Fields

Stored fields keep an original (untokenized/unanalyzed) version of their contents in Solr.

Stored fields allow data to be retrieved without also hitting the underlying database (usually an SQL server). They are also required for highlighting and more like this queries.

Stored fields come at some performance cost in the Solr index, so use them wisely.

class Post < ActiveRecord::Base
  searchable do
    text :body, :stored => true
  end
end

# Retrieving stored contents without hitting the database
Post.search.hits.each do |hit|
  puts hit.stored(:body)
end

Hits vs. Results

Sunspot simply stores the type and primary key of objects in Solr. When results are retrieved, those primary keys are used to load the actual object (usually from an SQL database).

# Using #results pulls in the records from the object-relational
# mapper (e.g., ActiveRecord + a SQL server)
Post.search.results.each do |result|
  puts result.body
end

To access information about the results without querying the underlying database, use hits:

# Using #hits gives back all information requested from Solr, but does
# not load the object from the object-relational mapper
Post.search.hits.each do |hit|
  puts hit.stored(:body)
end

If you need both the result (ORM-loaded object) and Hit (e.g., for faceting, highlighting, etc...), you can use the convenience method each_hit_with_result:

Post.search.each_hit_with_result do |hit, result|
  # ...
end

Reindexing Objects

If you are using Rails, objects are automatically indexed to Solr as a part of the save callbacks.

There are a number of ways to index manually within Ruby:

# On a class itself
Person.reindex
Sunspot.commit

# On mixed objects
Sunspot.index [post1, item2]
Sunspot.index person3
Sunspot.commit

# With autocommit
Sunspot.index! [post1, item2, person3]

If you make a change to the object's "schema" (code in the searchable block), you must reindex all objects so the changes are reflected in Solr:

bundle exec rake sunspot:solr:reindex

# or, to be specific to a certain model with a certain batch size:
bundle exec rake sunspot:solr:reindex[500,Post] # some shells will require escaping [ with \[ and ] with \]

Use Without Rails

TODO

Manually Adjusting Solr Parameters

To add or modify parameters sent to Solr, use adjust_solr_params:

Post.search do
  adjust_solr_params do |params|
    params[:q] += " AND something_s:more"
  end
end

Session Proxies

TODO

Type Reference

TODO

Development

Running Tests

sunspot

Install the required gem dependencies:

cd /path/to/sunspot/sunspot
bundle install

Start a Solr instance on port 8983:

bundle exec sunspot-solr start -p 8983
# or `bundle exec sunspot-solr run -p 8983` to run in foreground

Run the tests:

bundle exec rake spec

If desired, stop the Solr instance:

bundle exec sunspot-solr stop

sunspot_rails

Install the gem dependencies for sunspot:

cd /path/to/sunspot/sunspot
bundle install

Start a Solr instance on port 8983:

bundle exec sunspot-solr start -p 8983
# or `bundle exec sunspot-solr run -p 8983` to run in foreground

Navigate to the sunspot_rails directory:

cd ../sunspot_rails

Run the tests:

rake spec # all Rails versions
rake spec RAILS=3.1.1 # specific Rails version only

If desired, stop the Solr instance:

cd ../sunspot
bundle exec sunspot-solr stop

Generating Documentation

Install the yard and redcarpet gems:

$ gem install yard redcarpet

Uninstall the rdiscount gem, if installed:

$ gem uninstall rdiscount

Generate the documentation from topmost directory:

$ yardoc -o docs */lib/**/*.rb - README.md

Tutorials and Articles

• Using Sunspot, Websolr, and Solr on Heroku (mrdanadams)
• Full Text Searching with Solr and Sunspot (Collective Idea)
• Full-text search in Rails with Sunspot (Tropical Software Observations)
• Sunspot Full-text Search for Rails/Ruby (The Rail World)
• A Few Sunspot Tips (spiral_code)
• Sunspot: A Solr-Powered Search Engine for Ruby (Linux Magazine)
• Sunspot Showed Me the Light (ben koonse)
• RubyGems.org — A case study in upgrading to full-text search (Websolr)
• How to Implement Spatial Search with Sunspot and Solr (Code Quest)
• Sunspot 1.2 with Spatial Solr Plugin 2.0 (joelmats)
• rails3 + heroku + sunspot : madness (anhaminha)
• heroku + websolr + sunspot (Onemorecloud)
• How to get full text search working with Sunspot (Hobo Cookbook)
• Full text search with Sunspot in Rails (hemju)
• Using Sunspot for Free-Text Search with Redis (While I Pondered...)
• Fuzzy searching in SOLR with Sunspot (pipe :to => /dev/null)
• Default scope with Sunspot (Cloudspace)
• Index External Models with Sunspot/Solr (Medihack)
• Testing with Sunspot and Cucumber (Collective Idea)
• Cucumber and Sunspot (opensoul.org)
• Testing Sunspot with Cucumber (spiral_code)
• Running cucumber features with sunspot_rails (Kabisa Blog)
• Testing Sunspot with Test::Unit (Type Slowly)
• Sunspot Quickstart (WebSolr)
• Solr, and Sunspot (YT!)
• The Saga of the Switch (mrb -- includes comparison of Sunspot and Ultrasphinx)
• Conditional Indexing with Sunspot (mikepack)

License

Sunspot is distributed under the MIT License, copyright (c) 2008-2013 Mat Brown