Elasticsearch 查询未返回正确的数据

Elasticsearch query not returning correct data

我正在将 Chewy gem to integrate Elasticsearch 用于我的 Rails 项目。 我为一个名为 (Listing) 的模型和我使用 Chewy es dsl 的搜索界面设置了索引。

listings_index.rb

class ListingsIndex < Chewy::Index
  settings analysis: {
    analyzer: {
      exact: {
        tokenizer: 'keyword',
        filter: ['lowercase']
      }
    }
  }
  define_type Listing.available.includes(:listing_images, :user) do
    field :id, type: 'integer'
    field :listing_type, analyzer: 'exact'
    field :status, analyzer: 'exact'
    field :bedrooms, type: 'integer'
    field :price, type: 'integer'
    field :tenant_fee, type: 'integer'
    field :neighborhood_id, type: 'integer'
    field :bathrooms, type: 'float'
    field :lat, type: 'float'
    field :lng, type: 'float'
    field :available_date, type: 'date'
    field :full_address, type: 'text'
    field :title, type: 'text'
    field :user_last_active_at, value: ->(listing) { listing.user.last_active_at } # last_active_at on the User model is of type date
    field :street, value: ->(listing) { listing.street }
    field :listing_images do
      field :image, type: 'object'
    end
    field :coordinates, type: 'geo_point', value: ->{ { lat: lat, lon: lng } }
  end
end

listing_search.rb

class ListingSearch
  include ActiveData::Model
  attribute :bedrooms, type: Integer
  attribute :listing_type, type: String
  attribute :price_min, type: String
  attribute :price_max, type: String
  attribute :date, type: String
  attribute :neighborhoods, type: Array

  def index
    ListingsIndex
  end

 def search
   [base_filter, neighborhood_ids_filter,
    price_filter, date_filter, bed_filter, apt_type_filter, sorting].compact.reduce(:merge)
 end

 def sorting
   index.order({ user_last_active_at: :desc})
 end

 def base_filter
    index.filter(term: {status: 'available'}).limit(4000)
 end

 def apt_type_filter
   if !listing_type.blank? && listing_type =~ /\d/
     if listing_type == '1'
       index.filter(term: { listing_type: "full" })
     end
     if listing_type == '0'
       index.filter(term: { listing_type: "share" })
     end
   end
 end

 def bed_filter
   return unless bedrooms.present?
   index.filter(term: { bedrooms: bedrooms.to_i })
 end

 def date_filter
   return unless date.present?
   parse_date = Chronic.parse(date, {:guess => false}).first
   body = {}.tap do |body|
     body.merge!(gte: parse_date) if date?
   end
   index.filter(range: {available_date: body}) if body.present?
 end

 def price_filter
  return if price_min == 'Min $' && price_max == 'Max $'
  if price_min != 'Min $' && price_max != 'Max $'
    body = {}.tap do |body|
      body.merge!(gte: price_min.to_i) if price_min?
      body.merge!(lte: price_max.to_i) if price_max?
    end
  elsif price_min == 'Min $' && price_max != 'Max $'
    body = {}.tap do |body|
      body.merge!(lte: price_max) if price_max?
    end
  elsif price_min != 'Min $' && price_max == 'Max $'
    body = {}.tap do |body|
      body.merge!(gte: price_min) if price_min?
    end
  end
   index.filter(range: {price: body}) if body.present?
 end

 def neighborhood_ids_filter
   index.filter(terms: {neighborhood_id: neighborhoods}) if neighborhoods?
 end
end

第一个问题是过滤器apt_type_filter。它没有 return 正确的数据。

第二个问题是当我使用 sorting 方法对数据进行排序时出现 ES BadRequest 错误:

Elasticsearch::Transport::Transport::Errors::BadRequest: [400] {"error":{"root_cause":[{"type":"illegal_argument_exception","reason":"Fielddata is disabled on text fields by default. Set fielddata=true on [user_last_active_at] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."}],"type":"search_phase_execution_exception","reason":"all shards failed","phase":"query","grouped":true,"failed_shards":[{"shard":0,"index":"listings","node":"IYxQCcHESTWOaitD9XtDFA","reason":{"type":"illegal_argument_exception","reason":"Fielddata is disabled on text fields by default. Set fielddata=true on [user_last_active_at] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."}}]},"status":400}

这是 Chewy 索引 Query 对象的输出:

<ListingsIndex::Query {:index=>["listings"], :type=>["listing"], :body=>{:size=>4000, :query=>{:bool=>{:filter=>[{:bool=>{:must=>[{:bool=>{:must=>[{:bool=>{:must=>[{:term=>{:status=>"available"}}, {:terms=>{:neighborhood_id=>["45"]}}]}}, {:range=>{:price=>{:gte=>800, :lte=>3000}}}]}}, {:range=>{:available_date=>{:gte=>2018-02-01 00:00:00 +0100}}}]}}, {:term=>{:bedrooms=>1}}]}}}}>

任何帮助都会很棒。谢谢。

第一部分:
您应该能够从您的 ES 客户端获取 elasticsearch 的查询。这将有助于调试为什么该过滤器不起作用。
关于第二部分,你的 user_last_active_at 应该是什么类型?有你的贴图真好
错误消息说 user_last_active_at 是索引中的字符串类型,因此您需要在映射中为该字段启用 field_data(查看 here

穆罕默德让我很好地洞察了这个问题。为了解决它,我改变了两件事:

首先,我没有向 ES 说明 user_last_active_at 应该如何被索引,所以我指定了要被索引的字段类型,如下所示:

field :user_last_active_at, type: 'date', value: ->(listing) { listing.user.last_active_at }

至于 listing_type 字段,相信问题在于 ES 正在标记字段值(将其拆分为单独的字符)。相反,我的目标是搜索完整的字段值。使用 keyword 使其可搜索

field :listing_type, analyzer: 'keyword'