我可以通过customer_id，姓名，姓氏和孩子ID，姓名，姓氏和＆＃34;生日和＃34;
进行搜索按ID搜索必须准确无误。按姓名或姓氏搜索的拼写错误与距离2有效。但我想通过kid_birthdate搜索匹配完全（拼错，距离0）
到目前为止，每当我通过birthdate搜索时，结果都会像拼写错误的距离2一样返回。我不知道如何搜索确切的日期。
Rails 5.1.0.rc1
elasticsearch-5.0.3
searchkick-2.2.0
class Customer < ActiveRecord::Base
include Searchable
def search_data
attributes.merge avatar_url: avatar.url, kids: kids
end
has_many :kids
...
end
class Kid < ActiveRecord::Base
belongs_to :customer
def reindex_customer
customer.reindex async: true
end
...
end
module Searchable
extend ActiveSupport::Concern
included do
SEARCH_RESULTS_PER_PAGE = 10
def self.elastic_search(query, opts = { page: 1 })
# This regex accept string that contains digits or dates
regexp = /(\d+)|(^(0[1-9]|1\d|2\d|3[01])-(0[1-9]|1[0-2])-(19|20)\d{2}$)/
distance = query.match?(regexp) ? 0 : 2 #This is for calculate the distance for misspelling 0 for digits and dates and 2 for strings
options = { load: false,
match: :word_middle,
misspellings: { edit_distance: distance },
per_page: SEARCH_RESULTS_PER_PAGE,
page: opts[:page] }
search query, options
end
end
end
我的索引包含她/他孩子数据的客户数据。孩子们嵌套在她/他的父母顾客之下。 如何强制搜索日期的精确匹配
对于此查询：
curl http://localhost:9200/customers_development/_search?pretty -d '{"query":{"dis_max":{"queries":[{"match":{"_all":{"query":"28388","boost":10,"operator":"and","analyzer":"searchkick_search"}}},{"match":{"_all":{"query":"28388","boost":10,"operator":"and","analyzer":"searchkick_search2"}}},{"match":{"_all":{"query":"28388","boost":1,"operator":"and","analyzer":"searchkick_search","fuzziness":0,"prefix_length":0,"max_expansions":3,"fuzzy_transpositions":true}}},{"match":{"_all":{"query":"28388","boost":1,"operator":"and","analyzer":"searchkick_search2","fuzziness":0,"prefix_length":0,"max_expansions":3,"fuzzy_transpositions":true}}}]}},"size":10,"from":0,"timeout":"11s"}'
这是索引的外观：
{
"took": 11,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 97.29381,
"hits": [
{
"_index": "customers_development_20170913145033808",
"_type": "customer",
"_id": "28388",
"_score": 97.29381,
"_source": {
"id": 28388,
"created_at": "2017-07-10T19:49:43.856Z",
"updated_at": "2017-09-13T03:01:51.727Z",
"name": "Linda",
"lastname": "Schott",
"email": "linda.schott@web.de",
"avatar": null,
"phone": null,
"mobile": null,
"erster_kontakt": null,
"memo": null,
"brief_title": null,
"newsletter": null,
"avatar_url": "/no_customer.png",
"kids": [
{
"id": 34229,
"name": "Jakob",
"lastname": "Schott",
"birthdate": "2013-03-22",
"age": "4,5",
"avatar": {
"url": "/avatars/kid/34229/Jellyfish.png",
"thumb": {
"url": "/avatars/kid/34229/thumb_Jellyfish.png"
}
},
"created_at": "2017-07-10T19:50:16.058Z",
"updated_at": "2017-09-13T03:02:52.962Z",
"customer_id": 28388,
"member": null,
"year_certified": null,
"zahlart": null,
"tn_merge_markiert": null,
"family": null,
"medal": "black",
"score": 30,
"current_level": "swimmys"
},
{
"id": 34228,
"name": "Lilith",
"lastname": "Schott",
"birthdate": "2013-03-22",
"age": "4,5",
"avatar": {
"url": "/avatars/kid/34228/Penguins.png",
"thumb": {
"url": "/avatars/kid/34228/thumb_Penguins.png"
}
},
"created_at": "2017-07-10T19:50:16.058Z",
"updated_at": "2017-09-13T03:02:52.962Z",
"customer_id": 28388,
"member": null,
"year_certified": null,
"zahlart": null,
"tn_merge_markiert": null,
"family": null,
"medal": "green",
"score": 17,
"current_level": "beginner"
},
{
"id": 27718,
"name": "Johanna",
"lastname": "Plischke",
"birthdate": "2010-12-29",
"age": "6,8",
"avatar": {
"url": "/avatars/kid/27718/Koala.png",
"thumb": {
"url": "/avatars/kid/27718/thumb_Koala.png"
}
},
"created_at": "2017-07-10T19:50:16.034Z",
"updated_at": "2017-09-13T04:01:15.261Z",
"customer_id": 28388,
"member": null,
"year_certified": null,
"zahlart": null,
"tn_merge_markiert": null,
"family": null,
"medal": "red",
"score": 27,
"current_level": ""
}
]
}
}
]
}
}
答案 0 :(得分：0)
让我们分析一下查询的部分：
"match":{
"_all":{
"query":"28388",
"boost":1,
"operator":"and",
"analyzer":"searchkick_search",
"fuzziness":0,
"prefix_length":0,
"max_expansions":3,
"fuzzy_transpositions":true
}
}
_all 您已说过kids是嵌套字段，但您只是搜索_all，因此我们要首先明确的是kids是否包含在_all中
正如document所说：
为嵌套对象中的所有属性设置默认
include_in_all值。嵌套文档没有自己的_all字段。而是将值添加到主“根”文档的_all字段中。
因此，第一个问题是索引嵌套类型是否已将include_in_all设置为false，这使得嵌套字段无法按_all进行搜索。
或者您可以选择嵌套查询来查询嵌套对象：
GET /_search
{
"query": {
"nested" : {
"path" : "kids",
"score_mode" : "avg",
"query" : {
"query_string": {
"fields": ["kids.birthdate"],
"query": "xxx"
}
}
}
}
}
当涉及拼写错误时，Elasticsearch建议我们使用模糊查询：
GET /_search
{
"query": {
"fuzzy" : {
"name" : {
"value" : "xxx",
"boost" : 1.0,
"fuzziness" : 2,
"prefix_length" : 0,
"max_expansions": 100
}
}
}
}
最后，我们可以使用bool查询组合它们：
POST _search
{
"query": {
"bool" : {
"must" : [{
"nested" : {
"path" : "kids",
"query" : {
"query_string": {
"fields": ["kids.birthdate"],
"query": "xxx"
}
}
}
},
{ "fuzzy" : {
"name" : {
"value" : "xxx",
"boost" : 1.0,
"fuzziness" : 2,
"prefix_length" : 0,
"max_expansions": 100
}
}
}]
}
}
}
我不熟悉Ruby，所以我可以提供帮助。希望有帮助。