Tho*_*mas 22 ruby-on-rails relationship elasticsearch ruby-on-rails-4 elasticsearch-rails
我是ElasticSearch的新手,但需要使用它来返回产品列表.请不要包含旧答案的答案或链接,这些答案会引用已弃用的轮胎宝石.
的Gemfile
ruby '2.2.0'
gem 'rails', '4.0.3'
gem 'elasticsearch-model', '~> 0.1.6'
gem 'elasticsearch-rails', '~> 0.1.6'
我有几个关系模型.我在下面列出了关系.
product.rb 包括Searchable
belongs_to :family
belongs_to :collection
has_many :benefits_products
has_many :benefits, :through => :benefits_products
def as_indexed_json(options={})
as_json(
include: {:benefits => { :only => [ :id, :name ] },
:categories => { :only => [ :id, :name ] } }
)
end
collection.rb
include Searchable
has_many :products
def as_indexed_json(options={})
as_json(
include: [:products]
)
end
family.rb
include Searchable
has_many :products
def as_indexed_json(options={})
as_json(
include: [:products]
)
end
benefit.rb
include Searchable
has_many :benefits_products
has_many :products, :through => :benefits_products
def as_indexed_json(options={})
as_json(
include: [:products]
)
end
Serachable.rb 只是一个关注点,包括所有模型中的弹性搜索和回调
module Searchable
extend ActiveSupport::Concern
included do
include Elasticsearch::Model
include Elasticsearch::Model::Callbacks
settings index: { number_of_shards: 1, number_of_replicas: 0 } do
mapping do
indexes :id, type: 'long'
indexes :name, type: 'string'
indexes :family_id, type: 'long'
indexes :collection_id, type: 'long'
indexes :created_at, type: 'date'
indexes :updated_at, type: 'date'
indexes :benefits, type: 'nested' do
indexes :id, type: 'long'
indexes :name, type: 'string'
end
indexes :categories, type: 'nested' do
indexes :id, type: 'long'
indexes :name, type: 'string'
end
end
end
def self.search(options={})
__set_filters = lambda do |key, f|
@search_definition[:filter][:and] ||= []
@search_definition[:filter][:and] |= [f]
end
@search_definition = {
query: {
filtered: {
query: {
match_all: {}
}
}
},
filter: {}
}
if options[:benefits]
f = { term: { "benefits.id": options[:benefits] } }
__set_filters.(:collection_id, f)
__set_filters.(:family_id, f)
__set_filters.(:categories, f)
end
def as_indexed_json(options={})
as_json(
include: {:benefits => { :only => [ :id, :name ] },
:categories => { :only => [ :id, :name ] } }
)
end
if options[:categories]
...
end
if options[:collection_id]
...
end
if options[:family_id]
...
end
__elasticsearch__.search(@search_definition)
end
end
end
我将破碎的slu slu细分为各种家庭,收藏品和福利.我可以搜索具有特定系列或集合的产品并返回正确的结果.我也能够将结果返回给一个好处,但它们看起来并不准确.同时搜索多种好处会产生奇怪的结果 我希望所有字段的"AND"组合搜索,但我的结果似乎不是"AND"或"OR"的结果.所以这也让我感到困惑.
我将什么传递给Product.search方法以产生预期的结果？
感谢您的任何帮助,您可以提供!
我现在已经验证了产品的索引是好的.我使用curl -XGET 'http://127.0.0.1:9200/products/_search?pretty=1'它产生了一个看起来像这样的json响应:
{
"id":4,
"name":"product name"
"family_id":16
"collection_id":6
"created_at":"2015-04-13T12:49:42.000Z"
"updated_at":"2015-04-13T12:49:42.000Z"
"benefits":[
{"id":2,"name":"my benefit 2"},
{"id":6,"name":"my benefit 6"},
{"id":7,"name":"my benefit 7"}
],
"categories":[
{"id":2,"name":"category 2"}
]}
},
{...}
现在我只需要弄清楚如何在ElasticSearch中搜索具有优势2,6和7的产品,如果我想要上面的示例产品.我特意寻找提交到elasticsearch #search方法的语法来获取嵌套"AND"查询的结果,嵌套查询设置/映射(以确保我没有错过任何内容,以及您可以想到的任何其他相关信息你解决了这个问题.
可搜索的问题已更新,以反映收到的答案.我翻译了映射json对象以适应elasticsearch-model语法.当我尝试以类似的方式翻译查询时,我仍然会遇到困惑.
我是关于elasticsearch-rails示例应用程序的基本关键问题.我已经更新了searchable.rb来反映这段代码,当我得到结果时,它们不是"AND"执行的结果.当我申请两项福利时,我会从所有有益的产品中获得结果.
默认情况下，如果您使用动态映射来加载数据，那么 ES 会将嵌套对象创建为平面对象，从而会松散各种嵌套属性之间的关系。为了维持正确的关系，我们可以使用嵌套对象或父子关系。
现在我将使用嵌套对象来实现所需的结果：
映射：
PUT /index-3
{
"mappings": {
"products":{
"properties": {
"id": {
"type": "long"
},
"name":{
"type": "string"
},
"family_id":{
"type": "long"
},
"collection_id":{
"type": "long"
},
"created_at":{
"type": "date"
},
"updated_at":{
"type": "date"
},
"benefits":{
"type": "nested",
"include_in_parent": true,
"properties": {
"id": {
"type": "long"
},
"name":{
"type":"string"
}
}
},
"categories":{
"type": "nested",
"include_in_parent": true,
"properties": {
"id":{
"type": "long"
},
"name":{
"type":"string"
}
}
}
}
}
}
}
如果您观察到我已将子对象视为嵌套映射并包含在父对象中。
现在一些示例数据：
PUT /index-3/products/4
{
"name":"product name 4",
"family_id":15,
"collection_id":6,
"created_at":"2015-04-13T12:49:42.000Z",
"updated_at":"2015-04-13T12:49:42.000Z",
"benefits":[
{"id":2,"name":"my benefit 2"},
{"id":6,"name":"my benefit 6"},
{"id":7,"name":"my benefit 7"}
],
"categories":[
{"id":2,"name":"category 2"}
]
}
PUT /index-3/products/5
{
"name":"product name 5",
"family_id":16,
"collection_id":6,
"created_at":"2015-04-13T12:49:42.000Z",
"updated_at":"2015-04-13T12:49:42.000Z",
"benefits":[
{"id":5,"name":"my benefit 2"},
{"id":6,"name":"my benefit 6"},
{"id":7,"name":"my benefit 7"}
],
"categories":[
{"id":3,"name":"category 2"}
]
}
PUT /index-3/products/6
{
"name":"product name 6",
"family_id":15,
"collection_id":5,
"created_at":"2015-04-13T12:49:42.000Z",
"updated_at":"2015-04-13T12:49:42.000Z",
"benefits":[
{"id":5,"name":"my benefit 2"},
{"id":55,"name":"my benefit 6"},
{"id":7,"name":"my benefit 7"}
],
"categories":[
{"id":3,"name":"category 2"}
]
}
现在是查询部分：
GET index-3/products/_search
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"terms": {
"benefits.id": [
5,6,7
],
"execution": "and"
}
}
}
}
}
产生以下结果：
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "index-3",
"_type": "products",
"_id": "5",
"_score": 1,
"_source": {
"name": "product name 5",
"family_id": 16,
"collection_id": 6,
"created_at": "2015-04-13T12:49:42.000Z",
"updated_at": "2015-04-13T12:49:42.000Z",
"benefits": [
{
"id": 5,
"name": "my benefit 2"
},
{
"id": 6,
"name": "my benefit 6"
},
{
"id": 7,
"name": "my benefit 7"
}
],
"categories": [
{
"id": 3,
"name": "category 2"
}
]
}
}
]
}
}
在查询时，我们必须使用带有“andexecution”的术语过滤器，这样它只会检索包含所有术语的文档。