# Searchkick :rocket: Intelligent search made easy Searchkick learns what **your users** are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users. Searchkick handles: - stemming - `tomatoes` matches `tomato` - special characters - `jalapeno` matches `jalapeño` - extra whitespace - `dishwasher` matches `dish washer` - misspellings - `zuchini` matches `zucchini` - custom synonyms - `qtip` matches `cotton swab` Plus: - query like SQL - no need to learn a new query language - reindex without downtime :tangerine: Battle-tested at [Instacart](https://www.instacart.com) ## Get Started [Install Elasticsearch](http://www.elasticsearch.org/guide/reference/setup/installation/). For Homebrew, use: ```sh brew install elasticsearch ``` Add this line to your application’s Gemfile: ```ruby gem "searchkick" ``` Add searchkick to models you want to search. ```ruby class Product < ActiveRecord::Base searchkick end ``` Add data to the search index. ```ruby Product.reindex ``` And to query, use: ```ruby products = Product.search "2% Milk" products.each do |product| puts product.name end ``` ### Queries Query like SQL ```ruby Product.search "2% Milk", where: {in_stock: true}, limit: 10, offset: 50 ``` Search specific fields ```ruby fields: [:name, :brand] ``` Where ```ruby where: { expires_at: {gt: Time.now}, # lt, gte, lte also available orders_count: 1..10, # equivalent to {gte: 1, lte: 10} aisle_id: [25, 30], # in store_id: {not: 2}, # not aisle_id: {not: [25, 30]}, # not in or: [ [{in_stock: true}, {backordered: true}] ] } ``` Order ```ruby order: {_score: :desc} # most relevant first - default ``` Limit / offset ```ruby limit: 20, offset: 40 ``` Boost by a field ```ruby boost: "orders_count" # give popular documents a little boost ``` ### Pagination Plays nicely with kaminari and will_paginate. ```ruby # controller @products = Product.search "milk", page: params[:page], per_page: 20 # view <%= paginate @products %> ``` ### Partial Matches By default, results must match all words in the query. ```ruby Product.search "fresh honey" # fresh AND honey ``` To change this, use: ```ruby Product.search "fresh honey", partial: true # fresh OR honey ``` ### Synonyms ```ruby class Product < ActiveRecord::Base searchkick synonyms: [["scallion", "green onion"], ["qtip", "cotton swab"]] end ``` You must call `Product.reindex` after changing synonyms. ### Indexing Control what data is indexed with the `search_data` method. ```ruby class Product < ActiveRecord::Base def search_data as_json only: [:name, :active], include: {brand: {only: [:city]}} # or equivalently { name: name, active: active, brand: { city: brand.city } } end end ``` Searchkick uses `find_in_batches` to import documents. To eager load associations, use the `search_import` scope. ```ruby class Product < ActiveRecord::Base scope :search_import, includes(:searches) end ``` ### Keep Getting Better Searchkick uses conversion data to learn what users are looking for. If a user searches for “ice cream” and adds Ben & Jerry’s Chunky Monkey to the cart (our conversion metric at Instacart), that item gets a little more weight for similar searches. The first step is to define your conversion metric and start tracking conversions. The database works well for low volume, but feel free to use Redis or another datastore. ```ruby class Search < ActiveRecord::Base belongs_to :product # fields: id, query, searched_at, converted_at, product_id end ``` Add conversions to the index. ```ruby class Product < ActiveRecord::Base has_many :searches def search_data { name: name, conversions: searches.group("query").count } end end ``` Reindex and set up a cron job to add new conversions daily. ```ruby rake searchkick:reindex CLASS=Product ``` ### Facets ```ruby search = Product.search "2% Milk", facets: [:store_id, :aisle_id] p search.facets ``` Advanced ```ruby Product.search "2% Milk", facets: {store_id: {where: {in_stock: true}}} ``` ## Deployment ### Heroku Choose an add-on: [SearchBox](https://addons.heroku.com/searchbox), [Bonsai](https://addons.heroku.com/bonsai), or [Found](https://addons.heroku.com/foundelasticsearch). ```sh # SearchBox heroku addons:add searchbox:starter # Bonsai heroku addons:add bonsai # Found heroku addons:add foundelasticsearch ``` And create an initializer `config/initializers/elasticsearch.rb` with: ```ruby # SearchBox ENV["ELASTICSEARCH_URL"] = ENV["SEARCHBOX_URL"] # Bonsai ENV["ELASTICSEARCH_URL"] = ENV["BONSAI_URL"] # Found ENV["ELASTICSEARCH_URL"] = ENV["FOUNDELASTICSEARCH_URL"] ``` Then deploy and reindex: ```sh heroku run rake searchkick:reindex CLASS=Product ``` ## Reference Reindex one record ```ruby product = Product.find 10 product.reindex ``` Use a different index name ```ruby class Product < ActiveRecord::Base searchkick index_name: "products_v2" end ``` Eagar load associations ```ruby Product.search "milk", include: [:brand, :stores] ``` Do not load models ```ruby Product.search "milk", load: false ``` ## Migrating from Tire 1. Change `search` methods to `tire.search` and add index name in existing search calls ```ruby Product.search "fruit" ``` should be replaced with ```ruby Product.tire.search "fruit", index: "products" ``` 2. Replace tire mapping w/ searchkick method ```ruby class Product < ActiveRecord::Base searchkick end ``` 3. Deploy and reindex ```ruby rake searchkick:reindex CLASS=Product # or Product.reindex in the console ``` 4. Once it finishes, replace search calls w/ searchkick calls ## Elasticsearch Gotchas ### Inconsistent Scores Due to the distributed nature of Elasticsearch, you can get incorrect results when the number of documents in the index is low. You can [read more about it here](http://www.elasticsearch.org/blog/understanding-query-then-fetch-vs-dfs-query-then-fetch/). To fix this, do: ```ruby class Product < ActiveRecord::Base searchkick settings: {number_of_shards: 1} end ``` ## Thanks Thanks to Karel Minarik for [Tire](https://github.com/karmi/tire) and Jaroslav Kalistsuk for [zero downtime reindexing](https://gist.github.com/jarosan/3124884). ## TODO - Custom results for each user - Make Searchkick work with any language - Built-in synonyms from WordNet ## Contributing 1. Fork it 2. Create your feature branch (`git checkout -b my-new-feature`) 3. Commit your changes (`git commit -am 'Add some feature'`) 4. Push to the branch (`git push origin my-new-feature`) 5. Create new Pull Request