🚀 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 -
tomatoesmatchestomato - special characters -
jalapenomatchesjalapeño - extra whitespace -
dishwashermatchesdish washer - misspellings -
zuchinimatcheszucchini - custom synonyms -
qtipmatchescotton swab
Plus:
- query like SQL - no need to learn a new query language
- reindex without downtime
- easily personalize results for each user
- autocomplete
- “Did you mean” suggestions
- works with ActiveRecord and Mongoid
💬 Get handcrafted updates for new features
🍊 Battle-tested at Instacart
We highly recommend tracking queries and conversions
⚡ Searchjoy makes it easy
Install Elasticsearch. For Homebrew, use:
brew install elasticsearchAdd this line to your application’s Gemfile:
gem 'searchkick'For Elasticsearch 0.90, use version 0.6.3 and this readme.
Add searchkick to models you want to search.
class Product < ActiveRecord::Base
searchkick
endAdd data to the search index.
Product.reindexAnd to query, use:
products = Product.search "2% Milk"
products.each do |product|
puts product.name
endSearchkick supports the complete Elasticsearch Search API. As your search becomes more advanced, we recommend you use the Elasticsearch DSL for maximum flexibility.
Query like SQL
Product.search "2% Milk", where: {in_stock: true}, limit: 10, offset: 50Search specific fields
fields: [:name, :brand]Where
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
user_ids: {all: [1, 3]}, # all elements in array
or: [
[{in_stock: true}, {backordered: true}]
]
}Order
order: {_score: :desc} # most relevant first - defaultAll of these sort options are supported
Limit / offset
limit: 20, offset: 40Boost important fields
fields: ["title^10", "description"]Boost by the value of a field
boost_by: [:orders_count] # give popular documents a little boost
boost_by: {orders_count: {factor: 10}} # default factor is 1Boost matching documents
boost_where: {user_id: 1} # default factor is 1000
boost_where: {user_id: {value: 1, factor: 100}}Conversions are also a great way to boost.
Use a * for the query.
Product.search "*"Plays nicely with kaminari and will_paginate.
# controller
@products = Product.search "milk", page: params[:page], per_page: 20View with kaminari
<%= paginate @products %>View with will_paginate
<%= will_paginate @products %>By default, results must match all words in the query.
Product.search "fresh honey" # fresh AND honeyTo change this, use:
Product.search "fresh honey", operator: "or" # fresh OR honeyBy default, results must match the entire word - back will not match backpack. You can change this behavior with:
class Product < ActiveRecord::Base
searchkick word_start: [:name]
endAnd to search (after you reindex):
Product.search "back", fields: [{name: :word_start}]Available options are:
:word # default
:word_start
:word_middle
:word_end
:text_start
:text_middle
:text_endTo boost fields, use:
fields: [{"name^2" => :word_start}] # better interface on the wayUser.search "hi@searchkick.org", fields: [{email: :exact}, :name]Searchkick defaults to English for stemming. To change this, use:
class Product < ActiveRecord::Base
searchkick language: "German"
endclass Product < ActiveRecord::Base
searchkick synonyms: [["scallion", "green onion"], ["qtip", "cotton swab"]]
endCall Product.reindex after changing synonyms.
By default, Searchkick handles misspelled queries by returning results with an edit distance of one. To turn off this feature, use:
Product.search "zuchini", misspellings: false # no zucchiniYou can also change the edit distance with:
Product.search "zucini", misspellings: {distance: 2} # zucchiniControl what data is indexed with the search_data method. Call Product.reindex after changing this method.
class Product < ActiveRecord::Base
def search_data
as_json only: [:name, :active]
# or equivalently
{
name: name,
active: active
}
end
endSearchkick uses find_in_batches to import documents. To eager load associations, use the search_import scope.
class Product < ActiveRecord::Base
scope :search_import, -> { includes(:searches) }
endBy default, all records are indexed. To control which records are indexed, use the should_index? method.
class Product < ActiveRecord::Base
def should_index?
active # only index active records
end
end- when you install or upgrade searchkick
- change the
search_datamethod - change the
searchkickmethod
- App starts
- Records are inserted, updated or deleted (syncs automatically)
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.
class Search < ActiveRecord::Base
belongs_to :product
# fields: id, query, searched_at, converted_at, product_id
endYou do not need to clean up the search queries. Searchkick automatically treats apple and APPLES the same.
Next, add conversions to the index.
class Product < ActiveRecord::Base
has_many :searches
searchkick conversions: "conversions" # name of field
def search_data
{
name: name,
conversions: searches.group("query").count
# {"ice cream" => 234, "chocolate" => 67, "cream" => 2}
}
end
endReindex and set up a cron job to add new conversions daily.
rake searchkick:reindex CLASS=ProductOrder results differently for each user. For example, show a user’s previously purchased products before other results.
class Product < ActiveRecord::Base
def search_data
{
name: name,
orderer_ids: orders.pluck(:user_id) # boost this product for these users
}
end
endReindex and search with:
Product.search "milk", boost_where: {orderer_ids: current_user.id}Autocomplete predicts what a user will type, making the search experience faster and easier.
Note: If you only have a few thousand records, don’t use Searchkick for autocomplete. It’s much faster to load all records into JavaScript and autocomplete there (eliminates network requests).
First, specify which fields use this feature. This is necessary since autocomplete can increase the index size significantly, but don’t worry - this gives you blazing faster queries.
class City < ActiveRecord::Base
searchkick text_start: [:name]
endReindex and search with:
City.search "san fr", fields: [{name: :text_start}]Typically, you want to use a JavaScript library like typeahead.js or jQuery UI.
First, add a route and controller action.
# app/controllers/cities_controller.rb
class CitiesController < ApplicationController
def autocomplete
render json: City.search(params[:query], fields: [{name: :text_start}], limit: 10).map(&:name)
end
endThen add the search box and JavaScript code to a view.
<input type="text" id="query" name="query" />
<script src="jquery.js"></script>
<script src="typeahead.js"></script>
<script>
$("#query").typeahead({
name: "city",
remote: "/cities/autocomplete?query=%QUERY"
});
</script>class Product < ActiveRecord::Base
searchkick suggest: ["name"] # fields to generate suggestions
endReindex and search with:
products = Product.search "peantu butta", suggest: true
products.suggestions # ["peanut butter"]Facets provide aggregated search data.
products = Product.search "chuck taylor", facets: [:product_type, :gender, :brand]
p products.facetsBy default, where conditions are not applied to facets (for backward compatibility).
Product.search "wingtips", where: {color: "brandy"}, facets: [:size]
# facets *not* filtered by color :(Change this with:
Product.search "wingtips", where: {color: "brandy"}, facets: [:size], smart_facets: trueor set where conditions for each facet separately:
Product.search "wingtips", facets: {size: {where: {color: "brandy"}}}Limit
Product.search "2% Milk", facets: {store_id: {limit: 10}}Ranges
price_ranges = [{to: 20}, {from: 20, to: 50}, {from: 50}]
Product.search "*", facets: {price: {ranges: price_ranges}}Use the stats option to get to max, min, mean, and total scores for each facet
Product.search "*", facets: {store_id: {stats: true}}Highlight the search query in the results.
bands = Band.search "cinema", fields: [:name], highlight: trueNote: The fields option is required.
View the highlighted fields with:
bands.with_details.each do |band, details|
puts details[:highlight][:name] # "Two Door <em>Cinema</em> Club"
endTo change the tag, use:
Band.search "cinema", fields: [:name], highlight: {tag: "<strong>"}Find similar items.
product = Product.first
product.similar(fields: ["name"])class City < ActiveRecord::Base
searchkick locations: ["location"]
def search_data
attributes.merge location: [latitude, longitude]
end
endReindex and search with:
City.search "san", where: {location: {near: [37, -114], within: "100mi"}} # or 160kmBounded by a box
City.search "san", where: {location: {top_left: [38, -123], bottom_right: [37, -122]}}Searchkick supports single table inheritance.
class Dog < Animal
endThe parent and child model can both reindex.
Animal.reindex
Dog.reindex # equivalentAnd to search, use:
Animal.search "*" # all animals
Dog.search "*" # just dogs
Animal.search "*", type: [Dog, Cat] # just cats and dogsNote: The suggest option retrieves suggestions from the parent at the moment.
Dog.search "airbudd", suggest: true # suggestions for all animalsSee how Elasticsearch tokenizes your queries with:
Product.searchkick_index.tokens("Dish Washer Soap", analyzer: "default_index")
# ["dish", "dishwash", "washer", "washersoap", "soap"]
Product.searchkick_index.tokens("dishwasher soap", analyzer: "searchkick_search")
# ["dishwashersoap"] - no match
Product.searchkick_index.tokens("dishwasher soap", analyzer: "searchkick_search2")
# ["dishwash", "soap"] - match!!Partial matches
Product.searchkick_index.tokens("San Diego", analyzer: "searchkick_word_start_index")
# ["s", "sa", "san", "d", "di", "die", "dieg", "diego"]
Product.searchkick_index.tokens("dieg", analyzer: "searchkick_word_search")
# ["dieg"] - match!!See the complete list of analyzers.
Searchkick uses ENV["ELASTICSEARCH_URL"] for the Elasticsearch server. This defaults to http://localhost:9200.
Choose an add-on: SearchBox, Bonsai, or Found.
# SearchBox
heroku addons:add searchbox:starter
heroku config:add ELASTICSEARCH_URL=`heroku config:get SEARCHBOX_URL`
# Bonsai
heroku addons:add bonsai
heroku config:add ELASTICSEARCH_URL=`heroku config:get BONSAI_URL`
# Found
heroku addons:add foundelasticsearch
heroku config:add ELASTICSEARCH_URL=`heroku config:get FOUNDELASTICSEARCH_URL`Then deploy and reindex:
heroku run rake searchkick:reindex CLASS=ProductCreate an initializer config/initializers/elasticsearch.rb with:
ENV["ELASTICSEARCH_URL"] = "http://username:password@api.searchbox.io"Then deploy and reindex:
rake searchkick:reindex CLASS=ProductFor the best performance, add Patron to your Gemfile.
gem 'patron'Note: Patron is not available for Windows.
Create an initializer config/initializers/elasticsearch.rb with multiple hosts:
Searchkick.client = Elasticsearch::Client.new(hosts: ["localhost:9200", "localhost:9201"], retry_on_failure: true)See elasticsearch-transport for a complete list of options.
Prefer to use the Elasticsearch DSL but still want awesome features like zero-downtime reindexing?
Create a custom mapping:
class Product < ActiveRecord::Base
searchkick mappings: {
product: {
properties: {
name: {type: "string", analyzer: "keyword"}
}
}
}
endAnd use the query option to search:
products = Product.search query: {match: {name: "milk"}}View the response with:
products.responseTo keep the mappings and settings generated by Searchkick, use:
class Product < ActiveRecord::Base
searchkick merge_mappings: true, mappings: {...}
endTo modify the query generated by Searchkick, use:
query = Product.search "2% Milk", execute: false
query.body[:query] = {match_all: {}}
products = query.executeReindex one record
product = Product.find 10
product.reindexRemove old indices
Product.clean_indicesUse a different index name
class Product < ActiveRecord::Base
searchkick index_name: "products_v2"
endPrefix the index name
class Product < ActiveRecord::Base
searchkick index_prefix: "datakick"
endTurn off callbacks permanently
class Product < ActiveRecord::Base
searchkick callbacks: false
endor temporarily
Product.disable_search_callbacks # or use Searchkick.disable_callbacks for all models
ExpensiveProductsTask.execute
Product.enable_search_callbacks # or use Searchkick.enable_callbacks for all models
Product.reindexChange the search method name in config/initializers/searchkick.rb [master]
Searchkick.search_method_name = :lookupEager load associations
Product.search "milk", include: [:brand, :stores]Do not load models
Product.search "milk", load: falseTurn off special characters
class Product < ActiveRecord::Base
# A will not match Ä
searchkick special_characters: false
endChange import batch size
class Product < ActiveRecord::Base
searchkick batch_size: 200 # defaults to 1000
endAsynchronous reindexing
class Product < ActiveRecord::Base
searchkick callbacks: false
# add the callbacks manually
# ActiveRecord - one callback
after_commit :reindex_async
# Mongoid - two callbacks
after_save :reindex_async
after_destroy :reindex_async
def reindex_async
# delayed job
delay.reindex
end
endReindex conditionally
Note: With ActiveRecord, use this feature with caution - transaction rollbacks can cause data inconstencies
class Product < ActiveRecord::Base
searchkick callbacks: false
# add the callbacks manually
after_save :reindex, if: proc{|model| model.name_changed? } # use your own condition
after_destroy :reindex
endReindex all models - Rails only
rake searchkick:reindex:all- Change
searchmethods totire.searchand add index name in existing search calls
Product.search "fruit"should be replaced with
Product.tire.search "fruit", index: "products"- Replace tire mapping w/ searchkick method
class Product < ActiveRecord::Base
searchkick
end- Deploy and reindex
rake searchkick:reindex CLASS=Product # or Product.reindex in the console- Once it finishes, replace search calls w/ searchkick calls
View the changelog.
Important notes are listed below.
If running Searchkick 0.6.0 or 0.7.0 and Elasticsearch 0.90, we recommend upgrading to Searchkick 0.6.1 or 0.7.1 to fix an issue that causes downtime when reindexing.
Before 0.3.0, locations were indexed incorrectly. When upgrading, be sure to reindex immediately.
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. To fix this, do:
class Product < ActiveRecord::Base
searchkick settings: {number_of_shards: 1}
endFor convenience, this is set by default in the test environment.
Thanks to Karel Minarik for Elasticsearch Ruby and Tire, Jaroslav Kalistsuk for zero downtime reindexing, and Alex Leschenko for Elasticsearch autocomplete.
- Search multiple fields for different terms
- Search across models
- Search nested objects
- Add section on testing
- Much finer customization
- More transparency into generated queries (for advanced use)
Everyone is encouraged to help improve this project. Here are a few ways you can help:
- Report bugs
- Fix bugs and submit pull requests
- Write, clarify, or fix documentation
- Suggest or add new features
To get started with development and testing:
- Clone the repo
bundlerake test



