module Searchkick class Index attr_reader :name, :options def initialize(name, options = {}) @name = name @options = options end def create(options = {}) client.indices.create index: name, body: options end def delete client.indices.delete index: name end def exists? client.indices.exists index: name end def refresh client.indices.refresh index: name end def alias_exists? client.indices.exists_alias name: name end def mapping client.indices.get_mapping index: name end def swap(new_name) old_indices = begin client.indices.get_alias(name: name).keys rescue Elasticsearch::Transport::Transport::Errors::NotFound [] end actions = old_indices.map { |old_name| {remove: {index: old_name, alias: name}} } + [{add: {index: new_name, alias: name}}] client.indices.update_aliases body: {actions: actions} end # record based def store(record) bulk_index([record]) end def remove(record) bulk_delete([record]) end def bulk_delete(records) Searchkick.queue_items(records.reject { |r| r.id.blank? }.map { |r| {delete: record_data(r)} }) end def bulk_index(records) Searchkick.queue_items(records.map { |r| {index: record_data(r).merge(data: search_data(r))} }) end alias_method :import, :bulk_index def record_data(r) data = { _index: name, _id: search_id(r), _type: document_type(r) } data[:_routing] = r.search_routing if r.respond_to?(:search_routing) data end def retrieve(record) client.get( index: name, type: document_type(record), id: search_id(record) )["_source"] end def reindex_record(record) if record.destroyed? || !record.should_index? begin remove(record) rescue Elasticsearch::Transport::Transport::Errors::NotFound # do nothing end else store(record) end end def reindex_record_async(record) if Searchkick.callbacks_value.nil? if defined?(Searchkick::ReindexV2Job) Searchkick::ReindexV2Job.perform_later(record.class.name, record.id.to_s) else Delayed::Job.enqueue Searchkick::ReindexJob.new(record.class.name, record.id.to_s) end else reindex_record(record) end end def similar_record(record, options = {}) like_text = retrieve(record).to_hash .keep_if { |k, _| !options[:fields] || options[:fields].map(&:to_s).include?(k) } .values.compact.join(" ") # TODO deep merge method options[:where] ||= {} options[:where][:_id] ||= {} options[:where][:_id][:not] = record.id.to_s options[:per_page] ||= 10 options[:similar] = true # TODO use index class instead of record class search_model(record.class, like_text, options) end # search def search_model(searchkick_klass, term = nil, options = {}, &block) query = Searchkick::Query.new(searchkick_klass, term, options) block.call(query.body) if block if options[:execute] == false query else query.execute end end # reindex def create_index(options = {}) index_options = options[:index_options] || self.index_options index = Searchkick::Index.new("#{name}_#{Time.now.strftime('%Y%m%d%H%M%S%L')}", @options) index.create(index_options) index end # remove old indices that start w/ index_name def clean_indices all_indices = begin client.indices.get_aliases rescue Elasticsearch::Transport::Transport::Errors::NotFound [] end indices = all_indices.select { |k, v| (v.empty? || v["aliases"].empty?) && k =~ /\A#{Regexp.escape(name)}_\d{14,17}\z/ }.keys indices.each do |index| Searchkick::Index.new(index).delete end indices end # https://gist.github.com/jarosan/3124884 # http://www.elasticsearch.org/blog/changing-mapping-with-zero-downtime/ def reindex_scope(scope, options = {}) skip_import = options[:import] == false clean_indices index = create_index(index_options: scope.searchkick_index_options) # check if alias exists if alias_exists? # import before swap index.import_scope(scope) unless skip_import # get existing indices to remove swap(index.name) clean_indices else delete if exists? swap(index.name) # import after swap index.import_scope(scope) unless skip_import end index.refresh true end def import_scope(scope) batch_size = @options[:batch_size] || 1000 # use scope for import scope = scope.search_import if scope.respond_to?(:search_import) if scope.respond_to?(:find_in_batches) scope.find_in_batches batch_size: batch_size do |batch| import batch.select(&:should_index?) end else # https://github.com/karmi/tire/blob/master/lib/tire/model/import.rb # use cursor for Mongoid items = [] scope.all.each do |item| items << item if item.should_index? if items.length == batch_size import items items = [] end end import items end end def index_options options = @options language = options[:language] language = language.call if language.respond_to?(:call) if options[:mappings] && !options[:merge_mappings] settings = options[:settings] || {} mappings = options[:mappings] else settings = { analysis: { analyzer: { searchkick_keyword: { type: "custom", tokenizer: "keyword", filter: ["lowercase"] + (options[:stem_conversions] == false ? [] : ["searchkick_stemmer"]) }, default_index: { type: "custom", # character filters -> tokenizer -> token filters # https://www.elastic.co/guide/en/elasticsearch/guide/current/analysis-intro.html char_filter: ["ampersand"], tokenizer: "standard", # synonym should come last, after stemming and shingle # shingle must come before searchkick_stemmer filter: ["standard", "lowercase", "asciifolding", "searchkick_index_shingle", "searchkick_stemmer"] }, searchkick_search: { type: "custom", char_filter: ["ampersand"], tokenizer: "standard", filter: ["standard", "lowercase", "asciifolding", "searchkick_search_shingle", "searchkick_stemmer"] }, searchkick_search2: { type: "custom", char_filter: ["ampersand"], tokenizer: "standard", filter: ["standard", "lowercase", "asciifolding", "searchkick_stemmer"] }, # https://github.com/leschenko/elasticsearch_autocomplete/blob/master/lib/elasticsearch_autocomplete/analyzers.rb searchkick_autocomplete_index: { type: "custom", tokenizer: "searchkick_autocomplete_ngram", filter: ["lowercase", "asciifolding"] }, searchkick_autocomplete_search: { type: "custom", tokenizer: "keyword", filter: ["lowercase", "asciifolding"] }, searchkick_word_search: { type: "custom", tokenizer: "standard", filter: ["lowercase", "asciifolding"] }, searchkick_suggest_index: { type: "custom", tokenizer: "standard", filter: ["lowercase", "asciifolding", "searchkick_suggest_shingle"] }, searchkick_text_start_index: { type: "custom", tokenizer: "keyword", filter: ["lowercase", "asciifolding", "searchkick_edge_ngram"] }, searchkick_text_middle_index: { type: "custom", tokenizer: "keyword", filter: ["lowercase", "asciifolding", "searchkick_ngram"] }, searchkick_text_end_index: { type: "custom", tokenizer: "keyword", filter: ["lowercase", "asciifolding", "reverse", "searchkick_edge_ngram", "reverse"] }, searchkick_word_start_index: { type: "custom", tokenizer: "standard", filter: ["lowercase", "asciifolding", "searchkick_edge_ngram"] }, searchkick_word_middle_index: { type: "custom", tokenizer: "standard", filter: ["lowercase", "asciifolding", "searchkick_ngram"] }, searchkick_word_end_index: { type: "custom", tokenizer: "standard", filter: ["lowercase", "asciifolding", "reverse", "searchkick_edge_ngram", "reverse"] } }, filter: { searchkick_index_shingle: { type: "shingle", token_separator: "" }, # lucky find http://web.archiveorange.com/archive/v/AAfXfQ17f57FcRINsof7 searchkick_search_shingle: { type: "shingle", token_separator: "", output_unigrams: false, output_unigrams_if_no_shingles: true }, searchkick_suggest_shingle: { type: "shingle", max_shingle_size: 5 }, searchkick_edge_ngram: { type: "edgeNGram", min_gram: 1, max_gram: 50 }, searchkick_ngram: { type: "nGram", min_gram: 1, max_gram: 50 }, searchkick_stemmer: { # use stemmer if language is lowercase, snowball otherwise # TODO deprecate language option in favor of stemmer type: language == language.to_s.downcase ? "stemmer" : "snowball", language: language || "English" } }, char_filter: { # https://www.elastic.co/guide/en/elasticsearch/guide/current/custom-analyzers.html # &_to_and ampersand: { type: "mapping", mappings: ["&=> and "] } }, tokenizer: { searchkick_autocomplete_ngram: { type: "edgeNGram", min_gram: 1, max_gram: 50 } } } } if Searchkick.env == "test" settings.merge!(number_of_shards: 1, number_of_replicas: 0) end if options[:similarity] settings[:similarity] = {default: {type: options[:similarity]}} end settings.deep_merge!(options[:settings] || {}) # synonyms synonyms = options[:synonyms] || [] synonyms = synonyms.call if synonyms.respond_to?(:call) if synonyms.any? settings[:analysis][:filter][:searchkick_synonym] = { type: "synonym", synonyms: synonyms.select { |s| s.size > 1 }.map { |s| s.join(",") } } # choosing a place for the synonym filter when stemming is not easy # https://groups.google.com/forum/#!topic/elasticsearch/p7qcQlgHdB8 # TODO use a snowball stemmer on synonyms when creating the token filter # http://elasticsearch-users.115913.n3.nabble.com/synonym-multi-words-search-td4030811.html # I find the following approach effective if you are doing multi-word synonyms (synonym phrases): # - Only apply the synonym expansion at index time # - Don't have the synonym filter applied search # - Use directional synonyms where appropriate. You want to make sure that you're not injecting terms that are too general. settings[:analysis][:analyzer][:default_index][:filter].insert(4, "searchkick_synonym") settings[:analysis][:analyzer][:default_index][:filter] << "searchkick_synonym" %w(word_start word_middle word_end).each do |type| settings[:analysis][:analyzer]["searchkick_#{type}_index".to_sym][:filter].insert(2, "searchkick_synonym") end end if options[:wordnet] settings[:analysis][:filter][:searchkick_wordnet] = { type: "synonym", format: "wordnet", synonyms_path: Searchkick.wordnet_path } settings[:analysis][:analyzer][:default_index][:filter].insert(4, "searchkick_wordnet") settings[:analysis][:analyzer][:default_index][:filter] << "searchkick_wordnet" %w(word_start word_middle word_end).each do |type| settings[:analysis][:analyzer]["searchkick_#{type}_index".to_sym][:filter].insert(2, "searchkick_wordnet") end end if options[:special_characters] == false settings[:analysis][:analyzer].each do |_, analyzer_settings| analyzer_settings[:filter].reject! { |f| f == "asciifolding" } end end mapping = {} # conversions if (conversions_field = options[:conversions]) mapping[conversions_field] = { type: "nested", properties: { query: {type: "string", analyzer: "searchkick_keyword"}, count: {type: "integer"} } } end mapping_options = Hash[ [:autocomplete, :suggest, :word, :text_start, :text_middle, :text_end, :word_start, :word_middle, :word_end, :highlight, :searchable, :only_analyzed] .map { |type| [type, (options[type] || []).map(&:to_s)] } ] word = options[:word] != false && (!options[:match] || options[:match] == :word) mapping_options.values.flatten.uniq.each do |field| field_mapping = { type: "multi_field", fields: {} } unless mapping_options[:only_analyzed].include?(field) field_mapping[:fields][field] = {type: "string", index: "not_analyzed"} end if !options[:searchable] || mapping_options[:searchable].include?(field) if word field_mapping[:fields]["analyzed"] = {type: "string", index: "analyzed"} if mapping_options[:highlight].include?(field) field_mapping[:fields]["analyzed"][:term_vector] = "with_positions_offsets" end end mapping_options.except(:highlight, :searchable, :only_analyzed).each do |type, fields| if options[:match] == type || fields.include?(field) field_mapping[:fields][type] = {type: "string", index: "analyzed", analyzer: "searchkick_#{type}_index"} end end end mapping[field] = field_mapping end (options[:locations] || []).map(&:to_s).each do |field| mapping[field] = { type: "geo_point" } end (options[:unsearchable] || []).map(&:to_s).each do |field| mapping[field] = { type: "string", index: "no" } end routing = {} if options[:routing] routing = {required: true} unless options[:routing] == true routing[:path] = options[:routing].to_s end end dynamic_fields = { # analyzed field must be the default field for include_in_all # http://www.elasticsearch.org/guide/reference/mapping/multi-field-type/ # however, we can include the not_analyzed field in _all # and the _all index analyzer will take care of it "{name}" => {type: "string", index: "not_analyzed", include_in_all: !options[:searchable]} } unless options[:searchable] if options[:match] && options[:match] != :word dynamic_fields[options[:match]] = {type: "string", index: "analyzed", analyzer: "searchkick_#{options[:match]}_index"} end if word dynamic_fields["analyzed"] = {type: "string", index: "analyzed"} end end mappings = { _default_: { properties: mapping, _routing: routing, # https://gist.github.com/kimchy/2898285 dynamic_templates: [ { string_template: { match: "*", match_mapping_type: "string", mapping: { # http://www.elasticsearch.org/guide/reference/mapping/multi-field-type/ type: "multi_field", fields: dynamic_fields } } } ] } }.deep_merge(options[:mappings] || {}) end { settings: settings, mappings: mappings } end # other def tokens(text, options = {}) client.indices.analyze({text: text, index: name}.merge(options))["tokens"].map { |t| t["token"] } end def klass_document_type(klass) if klass.respond_to?(:document_type) klass.document_type else klass.model_name.to_s.underscore end end protected def client Searchkick.client end def document_type(record) if record.respond_to?(:search_document_type) record.search_document_type else klass_document_type(record.class) end end def search_id(record) id = record.respond_to?(:search_document_id) ? record.search_document_id : record.id id.is_a?(Numeric) ? id : id.to_s end def search_data(record) source = record.search_data options = record.class.searchkick_options # stringify fields # remove _id since search_id is used instead source = source.inject({}) { |memo, (k, v)| memo[k.to_s] = v; memo }.except("_id") # conversions conversions_field = options[:conversions] if conversions_field && source[conversions_field] source[conversions_field] = source[conversions_field].map { |k, v| {query: k, count: v} } end # hack to prevent generator field doesn't exist error (options[:suggest] || []).map(&:to_s).each do |field| source[field] = nil unless source[field] end # locations (options[:locations] || []).map(&:to_s).each do |field| if source[field] if !source[field].is_a?(Hash) && (source[field].first.is_a?(Array) || source[field].first.is_a?(Hash)) # multiple locations source[field] = source[field].map { |a| location_value(a) } else source[field] = location_value(source[field]) end end end cast_big_decimal(source) source.as_json end def location_value(value) if value.is_a?(Array) value.map(&:to_f).reverse elsif value.is_a?(Hash) {lat: value[:lat].to_f, lon: value[:lon].to_f} else value end end # change all BigDecimal values to floats due to # https://github.com/rails/rails/issues/6033 # possible loss of precision :/ def cast_big_decimal(obj) case obj when BigDecimal obj.to_f when Hash obj.each do |k, v| obj[k] = cast_big_decimal(v) end when Enumerable obj.map do |v| cast_big_decimal(v) end else obj end end end end