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 包括可搜索的
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 只是一个问题，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。我能够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想要＆＃34; AND＆＃34;所有字段搜索的组合，但我的结果似乎不是＆＃34; AND＆＃34;的结果。或＆＃34;或＆＃34;。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？
感谢您提供的任何帮助！
我现在已经验证了产品的索引已编入索引。我使用curl -XGET 'http://127.0.0.1:9200/products/_search?pretty=1'生成了一个如下所示的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果我想要上面的示例产品，如何在ElasticSearch中搜索具有优势2,6和7的产品。我特意寻找提交到elasticsearch #search方法的语法来获取嵌套＆＃34; AND＆＃34;的结果。查询，嵌套查询设置/映射（以确保我没有遗漏任何内容，以及您可以想到的任何其他相关信息对此进行故障排除。
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。
我基本上对the elasticsearch-rails example app感兴趣。我更新了searchable.rb来反映这段代码，当我得到结果时，它们不是＆＃34; AND＆＃34;执行。当我申请两项福利时，我会从所有有益的产品中获得结果。
答案 0 :(得分：4)
默认情况下，如果使用动态映射加载数据，则ES会将嵌套对象创建为平面对象，因此会松散各种嵌套属性之间的关系。为了保持正确的关系，我们可以使用nested objects或parent-child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。
现在有一些示例数据：
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“和执行”的术语过滤器，以便它只检索包含所有术语的文档。