# 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
- easily personalize results for each user
- autocomplete
- “Did you mean” suggestions
- works with ActiveRecord, Mongoid, and NoBrainer
:speech_balloon: Get [handcrafted updates](http://chartkick.us7.list-manage.com/subscribe?u=952c861f99eb43084e0a49f98&id=6ea6541e8e&group[0][4]=true) for new features
:tangerine: Battle-tested at [Instacart](https://www.instacart.com/opensource)
[](https://travis-ci.org/ankane/searchkick)
**Searchkick 2.0 was just released!** See [notable changes](#200).
## Contents
- [Getting Started](#getting-started)
- [Querying](#querying)
- [Indexing](#indexing)
- [Aggregations](#aggregations)
- [Deployment](#deployment)
- [Performance](#performance)
- [Elasticsearch DSL](#advanced)
- [Reference](#reference)
## Getting Started
[Install Elasticsearch](https://www.elastic.co/guide/en/elasticsearch/reference/current/setup.html). For Homebrew, use:
```sh
brew install elasticsearch
# start the server
elasticsearch
```
Add this line to your application’s Gemfile:
```ruby
gem 'searchkick'
```
The latest version works with Elasticsearch 2 and 5. For Elasticsearch 1, use version 1.5.1 and [this readme](https://github.com/ankane/searchkick/blob/v1.5.1/README.md).
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 "apples"
products.each do |product|
puts product.name
end
```
Searchkick supports the complete [Elasticsearch Search API](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html). As your search becomes more advanced, we recommend you use the [Elasticsearch DSL](#advanced) for maximum flexibility.
## Querying
Query like SQL
```ruby
Product.search "apples", 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
user_ids: {all: [1, 3]}, # all elements in array
category: /frozen .+/, # regexp
_or: [{in_stock: true}, {backordered: true}]
}
```
Order
```ruby
order: {_score: :desc} # most relevant first - default
```
[All of these sort options are supported](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-sort.html)
Limit / offset
```ruby
limit: 20, offset: 40
```
Select
```ruby
select: [:name]
```
### Results
Searches return a `Searchkick::Results` object. This responds like an array to most methods.
```ruby
results = Product.search("milk")
results.size
results.any?
results.each { |result| ... }
```
By default, ids are fetched from Elasticsearch and records are fetched from your database. To fetch everything from Elasticsearch, use:
```ruby
Product.search("apples", load: false)
```
Get total results
```ruby
results.total_count
```
Get the time the search took (in milliseconds)
```ruby
results.took
```
Get the full response from Elasticsearch
```ruby
results.response
```
### Boosting
Boost important fields
```ruby
fields: ["title^10", "description"]
```
Boost by the value of a field (field must be numeric)
```ruby
boost_by: [:orders_count] # give popular documents a little boost
boost_by: {orders_count: {factor: 10}} # default factor is 1
```
Boost matching documents
```ruby
boost_where: {user_id: 1}
boost_where: {user_id: {value: 1, factor: 100}} # default factor is 1000
boost_where: {user_id: [{value: 1, factor: 100}, {value: 2, factor: 200}]}
```
[Conversions](#keep-getting-better) are also a great way to boost.
### Get Everything
Use a `*` for the query.
```ruby
Product.search "*"
```
### Pagination
Plays nicely with kaminari and will_paginate.
```ruby
# controller
@products = Product.search "milk", page: params[:page], per_page: 20
```
View with kaminari
```erb
<%= paginate @products %>
```
View with will_paginate
```erb
<%= will_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", operator: "or" # fresh OR honey
```
By default, results must match the entire word - `back` will not match `backpack`. You can change this behavior with:
```ruby
class Product < ActiveRecord::Base
searchkick word_start: [:name]
end
```
And to search (after you reindex):
```ruby
Product.search "back", fields: [:name], match: :word_start
```
Available options are:
```ruby
:word # default
:word_start
:word_middle
:word_end
:text_start
:text_middle
:text_end
```
### Exact Matches
To match a field exactly (case-insensitive), use:
```ruby
User.search query, fields: [{email: :exact}, :name]
```
### Phrase Matches
To only match the exact order, use:
```ruby
User.search "fresh honey", match: :phrase
```
### Language
Searchkick defaults to English for stemming. To change this, use:
```ruby
class Product < ActiveRecord::Base
searchkick language: "german"
end
```
[See the list of stemmers](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-stemmer-tokenfilter.html)
### Synonyms
```ruby
class Product < ActiveRecord::Base
searchkick synonyms: [["scallion", "green onion"], ["qtip", "cotton swab"]]
# or
# searchkick synonyms: -> { CSV.read("/some/path/synonyms.csv") }
end
```
Call `Product.reindex` after changing synonyms.
For directional synonyms, use:
```ruby
synonyms: ["lightbulb => halogenlamp"]
```
### Tags and Dynamic Synonyms
The above approach works well when your synonym list is static, but in practice, this is often not the case. When you analyze search conversions, you often want to add new synonyms or tags without a full reindex. You can use a library like [ActsAsTaggableOn](https://github.com/mbleigh/acts-as-taggable-on) and do:
```ruby
class Product < ActiveRecord::Base
acts_as_taggable
scope :search_import, -> { includes(:tags) }
def search_data
{
name_tagged: "#{name} #{tags.map(&:name).join(" ")}"
}
end
end
```
Search with:
```ruby
Product.search query, fields: [:name_tagged]
```
### WordNet
Prepopulate English synonyms with the [WordNet database](https://en.wikipedia.org/wiki/WordNet).
Download [WordNet 3.0](http://wordnetcode.princeton.edu/3.0/WNprolog-3.0.tar.gz) to each Elasticsearch server and move `wn_s.pl` to the `/var/lib` directory.
```sh
cd /tmp
curl -o wordnet.tar.gz http://wordnetcode.princeton.edu/3.0/WNprolog-3.0.tar.gz
tar -zxvf wordnet.tar.gz
mv prolog/wn_s.pl /var/lib
```
Tell each model to use it:
```ruby
class Product < ActiveRecord::Base
searchkick wordnet: true
end
```
### Misspellings
By default, Searchkick handles misspelled queries by returning results with an [edit distance](https://en.wikipedia.org/wiki/Levenshtein_distance) of one.
You can change this with:
```ruby
Product.search "zucini", misspellings: {edit_distance: 2} # zucchini
```
To prevent poor precision and improve performance for correctly spelled queries (which should be a majority for most applications), Searchkick can first perform a search without misspellings, and if there are too few results, perform another with them.
```ruby
Product.search "zuchini", misspellings: {below: 5}
```
If there are fewer than 5 results, a 2nd search is performed with misspellings enabled. The result of this query is returned.
Turn off misspellings with:
```ruby
Product.search "zuchini", misspellings: false # no zucchini
```
### Emoji
Search :ice_cream::cake: and get `ice cream cake`!
Add this line to your application’s Gemfile:
```ruby
gem 'gemoji-parser'
```
And use:
```ruby
Product.search "🍨🍰", emoji: true
```
## Indexing
Control what data is indexed with the `search_data` method. Call `Product.reindex` after changing this method.
```ruby
class Product < ActiveRecord::Base
belongs_to :department
def search_data
{
name: name,
department_name: department.name,
on_sale: sale_price.present?
}
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(:department) }
end
```
By default, all records are indexed. To control which records are indexed, use the `should_index?` method together with the `search_import` scope.
```ruby
class Product < ActiveRecord::Base
scope :search_import, -> { where(active: true) }
def should_index?
active # only index active records
end
end
```
If a reindex is interrupted, you can resume it with:
```ruby
Product.reindex(resume: true)
```
For large data sets, try [parallel reindexing](#parallel-reindexing).
### To Reindex, or Not to Reindex
#### Reindex
- when you install or upgrade searchkick
- change the `search_data` method
- change the `searchkick` method
#### No need to reindex
- app starts
### Stay Synced
There are four strategies for keeping the index synced with your database.
1. Immediate (default)
Anytime a record is inserted, updated, or deleted
2. Asynchronous
Use background jobs for better performance
```ruby
class Product < ActiveRecord::Base
searchkick callbacks: :async
end
```
And [install Active Job](https://github.com/ankane/activejob_backport) for Rails 4.1 and below. Jobs are added to a queue named `searchkick`.
3. Queuing
Push ids of records that need updated to a queue and reindex in the background in batches. This is more performant than the asynchronous method, which updates records individually. See [how to set up](#queuing).
4. Manual
Turn off automatic syncing
```ruby
class Product < ActiveRecord::Base
searchkick callbacks: false
end
```
You can also do bulk updates.
```ruby
Searchkick.callbacks(:bulk) do
User.find_each(&:update_fields)
end
```
Or temporarily skip updates.
```ruby
Searchkick.callbacks(false) do
User.find_each(&:update_fields)
end
```
#### Associations
Data is **not** automatically synced when an association is updated. If this is desired, add a callback to reindex:
```ruby
class Image < ActiveRecord::Base
belongs_to :product
after_commit :reindex_product
def reindex_product
product.reindex # or reindex_async
end
end
```
### Analytics
The best starting point to improve your search **by far** is to track searches and conversions.
[Searchjoy](https://github.com/ankane/searchjoy) makes it easy.
```ruby
Product.search "apple", track: {user_id: current_user.id}
```
[See the docs](https://github.com/ankane/searchjoy) for how to install and use.
### Keep Getting Better
Searchkick can use 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.
You do **not** need to clean up the search queries. Searchkick automatically treats `apple` and `APPLES` the same.
Next, add conversions to the index.
```ruby
class Product < ActiveRecord::Base
has_many :searches, class_name: "Searchjoy::Search", as: :convertable
searchkick conversions: ["conversions"] # name of field
def search_data
{
name: name,
conversions: searches.group(:query).uniq.count(:user_id)
# {"ice cream" => 234, "chocolate" => 67, "cream" => 2}
}
end
end
```
Reindex and set up a cron job to add new conversions daily.
```ruby
rake searchkick:reindex CLASS=Product
```
**Note:** For a more performant (but more advanced) approach, check out [performant conversions](#performant-conversions).
### Personalized Results
Order results differently for each user. For example, show a user’s previously purchased products before other results.
```ruby
class Product < ActiveRecord::Base
def search_data
{
name: name,
orderer_ids: orders.pluck(:user_id) # boost this product for these users
}
end
end
```
Reindex and search with:
```ruby
Product.search "milk", boost_where: {orderer_ids: current_user.id}
```
### Instant Search / Autocomplete
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.
```ruby
class Book < ActiveRecord::Base
searchkick word_start: [:title, :author]
end
```
Reindex and search with:
```ruby
Book.search "tipping poi", match: :word_start
```
Typically, you want to use a JavaScript library like [typeahead.js](http://twitter.github.io/typeahead.js/) or [jQuery UI](http://jqueryui.com/autocomplete/).
#### Here’s how to make it work with Rails
First, add a route and controller action.
```ruby
# app/controllers/books_controller.rb
class BooksController < ApplicationController
def autocomplete
render json: Book.search(params[:query], {
fields: ["title^5", "author"],
match: :word_start,
limit: 10,
load: false,
misspellings: {below: 5}
}).map(&:title)
end
end
```
Then add the search box and JavaScript code to a view.
```html
```
### Suggestions
```ruby
class Product < ActiveRecord::Base
searchkick suggest: [:name] # fields to generate suggestions
end
```
Reindex and search with:
```ruby
products = Product.search "peantu butta", suggest: true
products.suggestions # ["peanut butter"]
```
### Aggregations
[Aggregations](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations.html) provide aggregated search data.
```ruby
products = Product.search "chuck taylor", aggs: [:product_type, :gender, :brand]
products.aggs
```
By default, `where` conditions apply to aggregations.
```ruby
Product.search "wingtips", where: {color: "brandy"}, aggs: [:size]
# aggregations for brandy wingtips are returned
```
Change this with:
```ruby
Product.search "wingtips", where: {color: "brandy"}, aggs: [:size], smart_aggs: false
# aggregations for all wingtips are returned
```
Set `where` conditions for each aggregation separately with:
```ruby
Product.search "wingtips", aggs: {size: {where: {color: "brandy"}}}
```
Limit
```ruby
Product.search "apples", aggs: {store_id: {limit: 10}}
```
Order
```ruby
Product.search "wingtips", aggs: {color: {order: {"_term" => "asc"}}} # alphabetically
```
[All of these options are supported](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-terms-aggregation.html#search-aggregations-bucket-terms-aggregation-order)
Ranges
```ruby
price_ranges = [{to: 20}, {from: 20, to: 50}, {from: 50}]
Product.search "*", aggs: {price: {ranges: price_ranges}}
```
Minimum document count
```ruby
Product.search "apples", aggs: {store_id: {min_doc_count: 2}}
```
Date histogram
```ruby
Product.search "pear", aggs: {products_per_year: {date_histogram: {field: :created_at, interval: :year}}}
```
#### Moving From Facets
1. Replace `facets` with `aggs` in searches. **Note:** Stats facets are not supported at this time.
```ruby
products = Product.search "chuck taylor", facets: [:brand]
# to
products = Product.search "chuck taylor", aggs: [:brand]
```
2. Replace the `facets` method with `aggs` for results.
```ruby
products.facets
# to
products.aggs
```
The keys in results differ slightly. Instead of:
```json
{
"_type":"terms",
"missing":0,
"total":45,
"other":34,
"terms":[
{"term":14.0,"count":11}
]
}
```
You get:
```json
{
"doc_count":45,
"doc_count_error_upper_bound":0,
"sum_other_doc_count":34,
"buckets":[
{"key":14.0,"doc_count":11}
]
}
```
Update your application to handle this.
3. By default, `where` conditions apply to aggregations. This is equivalent to `smart_facets: true`. If you have `smart_facets: true`, you can remove it. If this is not desired, set `smart_aggs: false`.
4. If you have any range facets with dates, change the key from `ranges` to `date_ranges`.
```ruby
facets: {date_field: {ranges: date_ranges}}
# to
aggs: {date_field: {date_ranges: date_ranges}}
```
### Highlight
Specify which fields to index with highlighting.
```ruby
class Product < ActiveRecord::Base
searchkick highlight: [:name]
end
```
Highlight the search query in the results.
```ruby
bands = Band.search "cinema", fields: [:name], highlight: true
```
**Note:** The `fields` option is required, unless highlight options are given - see below.
View the highlighted fields with:
```ruby
bands.each do |band|
band.search_highlights[:name] # "Two Door Cinema Club"
end
```
To change the tag, use:
```ruby
Band.search "cinema", fields: [:name], highlight: {tag: ""}
```
To highlight and search different fields, use:
```ruby
Band.search "cinema", fields: [:name], highlight: {fields: [:description]}
```
Additional options, including fragment size, can be specified for each field:
```ruby
Band.search "cinema", fields: [:name], highlight: {fields: {name: {fragment_size: 200}}}
```
You can find available highlight options in the [Elasticsearch reference](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-highlighting.html#_highlighted_fragments).
### Similar Items
Find similar items.
```ruby
product = Product.first
product.similar(fields: [:name], where: {size: "12 oz"})
```
### Geospatial Searches
```ruby
class City < ActiveRecord::Base
searchkick locations: [:location]
def search_data
attributes.merge location: {lat: latitude, lon: longitude}
end
end
```
Reindex and search with:
```ruby
City.search "san", where: {location: {near: {lat: 37, lon: -114}, within: "100mi"}} # or 160km
```
Bounded by a box
```ruby
City.search "san", where: {location: {top_left: {lat: 38, lon: -123}, bottom_right: {lat: 37, lon: -122}}}
```
Bounded by a polygon
```ruby
City.search "san", where: {location: {geo_polygon: {points: [{lat: 38, lon: -123}, {lat: 39, lon: -123}, {lat: 37, lon: 122}]}}}
```
### Boost By Distance
Boost results by distance - closer results are boosted more
```ruby
City.search "san", boost_by_distance: {location: {origin: {lat: 37, lon: -122}}}
```
Also supports [additional options](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html#_decay_functions)
```ruby
City.search "san", boost_by_distance: {location: {origin: {lat: 37, lon: -122}, function: "linear", scale: "30mi", decay: 0.5}}
```
### Geo Shapes
You can also index and search geo shapes.
```ruby
class City < ActiveRecord::Base
searchkick geo_shape: {
bounds: {tree: "geohash", precision: "1km"}
}
def search_data
attributes.merge(
bounds: {
type: "envelope",
coordinates: [{lat: 4, lon: 1}, {lat: 2, lon: 3}]
}
)
end
end
```
See the [Elasticsearch documentation](https://www.elastic.co/guide/en/elasticsearch/reference/current/geo-shape.html) for details.
Find shapes intersecting with the query shape
```ruby
City.search "san", where: {bounds: {geo_shape: {type: "polygon", coordinates: [[{lat: 38, lon: -123}, ...]]}}}
```
Falling entirely within the query shape
```ruby
City.search "san", where: {bounds: {geo_shape: {type: "circle", relation: "within", coordinates: [{lat: 38, lon: -123}], radius: "1km"}}}
```
Not touching the query shape
```ruby
City.search "san", where: {bounds: {geo_shape: {type: "envelope", relation: "disjoint", coordinates: [{lat: 38, lon: -123}, {lat: 37, lon: -122}]}}}
```
Containing the query shape (Elasticsearch 2.2+)
```ruby
City.search "san", where: {bounds: {geo_shape: {type: "envelope", relation: "contains", coordinates: [{lat: 38, lon: -123}, {lat: 37, lon: -122}]}}}
```
## Inheritance
Searchkick supports single table inheritance.
```ruby
class Dog < Animal
end
```
The parent and child model can both reindex.
```ruby
Animal.reindex
Dog.reindex # equivalent
```
And to search, use:
```ruby
Animal.search "*" # all animals
Dog.search "*" # just dogs
Animal.search "*", type: [Dog, Cat] # just cats and dogs
```
**Note:** The `suggest` option retrieves suggestions from the parent at the moment.
```ruby
Dog.search "airbudd", suggest: true # suggestions for all animals
```
## Debugging Queries
To help with debugging queries, you can use:
```ruby
Product.search("soap", debug: true)
```
This prints useful info to `stdout`.
See how Elasticsearch scores your queries with:
```ruby
Product.search("soap", explain: true).response
```
See how Elasticsearch tokenizes your queries with:
```ruby
Product.search_index.tokens("Dish Washer Soap", analyzer: "searchkick_index")
# ["dish", "dishwash", "washer", "washersoap", "soap"]
Product.search_index.tokens("dishwasher soap", analyzer: "searchkick_search")
# ["dishwashersoap"] - no match
Product.search_index.tokens("dishwasher soap", analyzer: "searchkick_search2")
# ["dishwash", "soap"] - match!!
```
Partial matches
```ruby
Product.search_index.tokens("San Diego", analyzer: "searchkick_word_start_index")
# ["s", "sa", "san", "d", "di", "die", "dieg", "diego"]
Product.search_index.tokens("dieg", analyzer: "searchkick_word_search")
# ["dieg"] - match!!
```
See the [complete list of analyzers](lib/searchkick/index.rb#L209).
## Deployment
Searchkick uses `ENV["ELASTICSEARCH_URL"]` for the Elasticsearch server. This defaults to `http://localhost:9200`.
### Heroku
Choose an add-on: [SearchBox](https://elements.heroku.com/addons/searchbox), [Bonsai](https://elements.heroku.com/addons/bonsai), or [Elastic Cloud](https://elements.heroku.com/addons/foundelasticsearch).
```sh
# SearchBox
heroku addons:create searchbox:starter
heroku config:set ELASTICSEARCH_URL=`heroku config:get SEARCHBOX_URL`
# Bonsai
heroku addons:create bonsai
heroku config:set ELASTICSEARCH_URL=`heroku config:get BONSAI_URL`
# Found
heroku addons:create foundelasticsearch
heroku config:set ELASTICSEARCH_URL=`heroku config:get FOUNDELASTICSEARCH_URL`
```
Then deploy and reindex:
```sh
heroku run rake searchkick:reindex CLASS=Product
```
### Amazon Elasticsearch Service
Include `elasticsearch 1.0.15` or greater in your Gemfile.
```ruby
gem 'elasticsearch', '>= 1.0.15'
```
Create an initializer `config/initializers/elasticsearch.rb` with:
```ruby
ENV["ELASTICSEARCH_URL"] = "https://es-domain-1234.us-east-1.es.amazonaws.com"
```
To use signed request, include in your Gemfile:
```ruby
gem 'faraday_middleware-aws-signers-v4'
```
and add to your initializer:
```ruby
Searchkick.aws_credentials = {
access_key_id: ENV["AWS_ACCESS_KEY_ID"],
secret_access_key: ENV["AWS_SECRET_ACCESS_KEY"],
region: "us-east-1"
}
```
Then deploy and reindex:
```sh
rake searchkick:reindex CLASS=Product
```
### Other
Create an initializer `config/initializers/elasticsearch.rb` with:
```ruby
ENV["ELASTICSEARCH_URL"] = "http://username:password@api.searchbox.io"
```
Then deploy and reindex:
```sh
rake searchkick:reindex CLASS=Product
```
### Automatic Failover
Create an initializer `config/initializers/elasticsearch.rb` with multiple hosts:
```ruby
ENV["ELASTICSEARCH_URL"] = "http://localhost:9200,http://localhost:9201"
Searchkick.client_options = {
retry_on_failure: true
}
```
See [elasticsearch-transport](https://github.com/elastic/elasticsearch-ruby/blob/master/elasticsearch-transport) for a complete list of options.
### Lograge
Add the following to `config/environments/production.rb`:
```ruby
config.lograge.custom_options = lambda do |event|
options = {}
options[:search] = event.payload[:searchkick_runtime] if event.payload[:searchkick_runtime].to_f > 0
options
end
```
See [Production Rails](https://github.com/ankane/production_rails) for other good practices.
## Performance
### JSON Generation
Significantly increase performance with faster JSON generation. Add [Oj](https://github.com/ohler55/oj) to your Gemfile.
```ruby
gem 'oj'
```
### Persistent HTTP Connections
Significantly increase performance with persistent HTTP connections. Add [Typhoeus](https://github.com/typhoeus/typhoeus) to your Gemfile.
```ruby
gem 'typhoeus'
```
To reduce log noise, create an initializer with:
```ruby
Ethon.logger = Logger.new("/dev/null")
```
If you run into issues on Windows, check out [this post](https://www.rastating.com/fixing-issues-in-typhoeus-and-httparty-on-windows/).
### Searchable Fields
By default, all string fields are searchable. Speed up indexing and reduce index size by only making some fields searchable.
```ruby
class Product < ActiveRecord::Base
searchkick searchable: [:name]
end
```
### Filterable Fields
By default, all fields are filterable (can be used in `where` option). Speed up indexing and reduce index size by only making some fields filterable.
```ruby
class Product < ActiveRecord::Base
searchkick filterable: [:store_id]
end
```
### Parallel Reindexing
For large data sets, you can use background jobs to parallelize reindexing.
```ruby
Product.reindex(async: true)
# {index_name: "products_production_20170111210018065"}
```
Once the jobs complete, promote the new index with:
```ruby
Product.search_index.promote(index_name)
```
You can optionally track the status with Redis:
```ruby
Searchkick.redis = Redis.new
```
And use:
```ruby
Searchkick.reindex_status(index_name)
```
### Queuing
Push ids of records needing reindexed to a queue and reindex in bulk for better performance. First, set up Redis in an initializer.
```ruby
Searchkick.redis = Redis.new
```
And ask your models to queue updates.
```ruby
class Product < ActiveRecord::Base
searchkick callbacks: :queue
end
```
Then, set up a background job to run.
```ruby
Searchkick::ProcessQueueJob.perform_later(class_name: "Product")
```
You can check the queue length with:
```ruby
Product.search_index.reindex_queue.length
```
For more tips, check out [Keeping Elasticsearch in Sync](https://www.elastic.co/blog/found-keeping-elasticsearch-in-sync).
### Routing
Searchkick supports [Elasticsearch’s routing feature](https://www.elastic.co/blog/customizing-your-document-routing), which can significantly speed up searches.
```ruby
class Business < ActiveRecord::Base
searchkick routing: true
def search_routing
city_id
end
end
```
Reindex and search with:
```ruby
Business.search "ice cream", routing: params[:city_id]
```
### Partial Reindexing
Reindex a subset of attributes to reduce time spent generating search data and cut down on network traffic.
```ruby
class Product < ActiveRecord::Base
def search_data
{
name: name
}.merge(search_prices)
end
def search_prices
{
price: price,
sale_price: sale_price
}
end
end
```
And use:
```ruby
Product.reindex(:search_prices)
```
### Performant Conversions
Split out conversions into a separate method so you can use partial reindexing, and cache conversions to prevent N+1 queries. Be sure to use a centralized cache store like Memcached or Redis.
```ruby
class Product < ActiveRecord::Base
def search_data
{
name: name
}.merge(search_conversions)
end
def search_conversions
{
conversions: Rails.cache.read("search_conversions:#{self.class.name}:#{id}") || {}
}
end
end
```
Create a job to update the cache and reindex records with new conversions.
```ruby
class ReindexConversionsJob < ActiveJob::Base
def perform(class_name)
# get records that have a recent conversion
recently_converted_ids =
Searchjoy::Search.where("convertable_type = ? AND converted_at > ?", class_name, 1.day.ago)
.order(:convertable_id).uniq.pluck(:convertable_id)
# split into groups
recently_converted_ids.in_groups_of(1000, false) do |ids|
# fetch conversions and group by record
conversions_by_record = {}
conversions =
Searchjoy::Search.where(convertable_id: ids, convertable_type: class_name)
.group(:convertable_id, :query).uniq.count(:user_id)
conversions.each do |(id, query), count|
(conversions_by_record[id] ||= {})[query] = count
end
# write to cache
conversions_by_record.each do |id, conversions|
Rails.cache.write("search_conversions:#{class_name}:#{id}", conversions)
end
# partial reindex
class_name.constantize.where(id: ids).reindex(:search_conversions)
end
end
end
```
Run the job with:
```ruby
ReindexConversionsJob.perform_later("Product")
```
## Advanced
Searchkick makes it easy to use the Elasticsearch DSL on its own.
### Advanced Mapping
Create a custom mapping:
```ruby
class Product < ActiveRecord::Base
searchkick mappings: {
product: {
properties: {
name: {type: "string", analyzer: "keyword"}
}
}
}
end
```
**Note:** If you use a custom mapping, you'll need to use [custom searching](#advanced-search) as well.
To keep the mappings and settings generated by Searchkick, use:
```ruby
class Product < ActiveRecord::Base
searchkick merge_mappings: true, mappings: {...}
end
```
### Advanced Search
And use the `body` option to search:
```ruby
products = Product.search body: {match: {name: "milk"}}
```
**Note:** This replaces the entire body, so other options are ignored.
View the response with:
```ruby
products.response
```
To modify the query generated by Searchkick, use:
```ruby
products = Product.search "milk", body_options: {min_score: 1}
```
or
```ruby
products =
Product.search "apples" do |body|
body[:min_score] = 1
end
```
## Multi Search
To batch search requests for performance, use:
```ruby
fresh_products = Product.search("fresh", execute: false)
frozen_products = Product.search("frozen", execute: false)
Searchkick.multi_search([fresh_products, frozen_products])
```
Then use `fresh_products` and `frozen_products` as typical results.
**Note:** Errors are not raised as with single requests. Use the `error` method on each query to check for errors. Also, if you use the `below` option for misspellings, misspellings will be disabled.
## Multiple Indices
Search across multiple indices with:
```ruby
Searchkick.search "milk", index_name: [Product, Category]
```
Boost specific indices with:
```ruby
indices_boost: {Category => 2, Product => 1}
```
## Nested Data
To query nested data, use dot notation.
```ruby
User.search "san", fields: ["address.city"], where: {"address.zip_code" => 12345}
```
## Reference
Reindex one record
```ruby
product = Product.find(1)
product.reindex
# or to reindex in the background
product.reindex_async
```
Reindex multiple records
```ruby
Product.where(store_id: 1).reindex
```
Reindex associations
```ruby
store.products.reindex
```
Remove old indices
```ruby
Product.search_index.clean_indices
```
Use custom settings
```ruby
class Product < ActiveRecord::Base
searchkick settings: {number_of_shards: 3}
end
```
Use a different index name
```ruby
class Product < ActiveRecord::Base
searchkick index_name: "products_v2"
end
```
Use a dynamic index name
```ruby
class Product < ActiveRecord::Base
searchkick index_name: -> { "#{name.tableize}-#{I18n.locale}" }
end
```
Prefix the index name
```ruby
class Product < ActiveRecord::Base
searchkick index_prefix: "datakick"
end
```
Multiple conversion fields
```ruby
class Product < ActiveRecord::Base
has_many :searches, class_name: "Searchjoy::Search"
# searchkick also supports multiple "conversions" fields
searchkick conversions: ["unique_user_conversions", "total_conversions"]
def search_data
{
name: name,
unique_user_conversions: searches.group(:query).uniq.count(:user_id),
# {"ice cream" => 234, "chocolate" => 67, "cream" => 2}
total_conversions: searches.group(:query).count
# {"ice cream" => 412, "chocolate" => 117, "cream" => 6}
}
end
end
```
and during query time:
```ruby
Product.search("banana") # boost by both fields (default)
Product.search("banana", conversions: "total_conversions") # only boost by total_conversions
Product.search("banana", conversions: false) # no conversion boosting
```
Change timeout
```ruby
Searchkick.timeout = 15 # defaults to 10
```
Set a lower timeout for searches
```ruby
Searchkick.search_timeout = 3
```
Change the search method name in `config/initializers/searchkick.rb`
```ruby
Searchkick.search_method_name = :lookup
```
Eager load associations
```ruby
Product.search "milk", includes: [:brand, :stores]
```
Turn off special characters
```ruby
class Product < ActiveRecord::Base
# A will not match Ä
searchkick special_characters: false
end
```
Use a different [similarity algorithm](https://www.elastic.co/guide/en/elasticsearch/reference/current/index-modules-similarity.html) for scoring
```ruby
class Product < ActiveRecord::Base
searchkick similarity: "classic"
end
```
Change import batch size
```ruby
class Product < ActiveRecord::Base
searchkick batch_size: 200 # defaults to 1000
end
```
Create index without importing
```ruby
Product.reindex(import: false)
```
Lazy searching
```ruby
products = Product.search("carrots", execute: false)
products.each { ... } # search not executed until here
```
Add [request parameters](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-uri-request.html), like `search_type` and `query_cache`
```ruby
Product.search("carrots", request_params: {search_type: "dfs_query_then_fetch"})
```
Reindex conditionally
**Note:** With ActiveRecord, use this feature with caution - [transaction rollbacks can cause data inconsistencies](https://github.com/elasticsearch/elasticsearch-rails/blob/master/elasticsearch-model/README.md#custom-callbacks)
```ruby
class Product < ActiveRecord::Base
searchkick callbacks: false
# add the callbacks manually
after_save :reindex, if: -> (model) { model.name_changed? } # use your own condition
after_destroy :reindex
end
```
Reindex all models - Rails only
```sh
rake searchkick:reindex:all
```
Turn on misspellings after a certain number of characters
```ruby
Product.search "api", misspellings: {prefix_length: 2} # api, apt, no ahi
```
**Note:** With this option, if the query length is the same as `prefix_length`, misspellings are turned off
```ruby
Product.search "ah", misspellings: {prefix_length: 2} # ah, no aha
```
## Testing
This section could use some love.
### RSpec
```ruby
describe Product do
it "searches" do
Product.reindex
# test goes here...
end
end
```
### Factory Girl
```ruby
product = FactoryGirl.create(:product)
product.reindex(refresh: true)
```
## Multi-Tenancy
Check out [this great post](https://www.tiagoamaro.com.br/2014/12/11/multi-tenancy-with-searchkick/) on the [Apartment](https://github.com/influitive/apartment) gem. Follow a similar pattern if you use another gem.
## Upgrading
View the [changelog](https://github.com/ankane/searchkick/blob/master/CHANGELOG.md).
Important notes are listed below.
### 2.0.0
- Added support for `reindex` on associations
#### Breaking Changes
- Removed support for Elasticsearch 1 as it reaches [end of life](https://www.elastic.co/support/eol)
- Removed facets, legacy options, and legacy methods
- Invalid options now throw an `ArgumentError`
- Renamed `select_v2` to `select` (legacy `select` no longer available)
- The `_all` field is disabled if `searchable` option is used (for performance)
- The `partial_reindex(:method_name)` method has been replaced with `reindex(:method_name)`
- The `unsearchable` and `only_analyzed` options have been removed in favor of `searchable` and `filterable`
- `load: false` no longer returns an array in Elasticsearch 2
### 1.0.0
- Added support for Elasticsearch 2.0
- Facets are deprecated in favor of [aggregations](#aggregations) - see [how to upgrade](#moving-from-facets)
#### Breaking Changes
- **ActiveRecord 4.1+ and Mongoid 3+:** Attempting to reindex with a scope now throws a `Searchkick::DangerousOperation` error to keep your from accidentally recreating your index with only a few records.
```ruby
Product.where(color: "brandy").reindex # error!
```
If this is what you intend to do, use:
```ruby
Product.where(color: "brandy").reindex(accept_danger: true)
```
- Misspellings are enabled by default for [partial matches](#partial-matches). Use `misspellings: false` to disable.
- [Transpositions](https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance) are enabled by default for misspellings. Use `misspellings: {transpositions: false}` to disable.
### 0.6.0 and 0.7.0
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.
### 0.3.0
Before `0.3.0`, locations were indexed incorrectly. When upgrading, be sure to reindex immediately.
## 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](https://www.elastic.co/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
```
For convenience, this is set by default in the test environment.
## Thanks
Thanks to Karel Minarik for [Elasticsearch Ruby](https://github.com/elasticsearch/elasticsearch-ruby) and [Tire](https://github.com/karmi/retire), Jaroslav Kalistsuk for [zero downtime reindexing](https://gist.github.com/jarosan/3124884), and Alex Leschenko for [Elasticsearch autocomplete](https://github.com/leschenko/elasticsearch_autocomplete).
## Roadmap
- More features for large data sets
- Improve section on testing
- Semantic search features
- Search multiple fields for different terms
- Search across models
- Search nested objects
- Much finer customization
## Contributing
Everyone is encouraged to help improve this project. Here are a few ways you can help:
- [Report bugs](https://github.com/ankane/searchkick/issues)
- Fix bugs and [submit pull requests](https://github.com/ankane/searchkick/pulls)
- Write, clarify, or fix documentation
- Suggest or add new features
If you’re looking for ideas, [try here](https://github.com/ankane/searchkick/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22).
To get started with development and testing:
```sh
git clone https://github.com/ankane/searchkick.git
cd searchkick
bundle install
rake test
```