【发布时间】:2016-03-26 23:59:13
【问题描述】:
我使用耐嚼的 gem elasticsearch。
我有 LocationsIndex,地图:
class LocationsIndex < Chewy::Index
settings analysis: {
analyzer: {
folding: {
tokenizer: "standard",
filter: [ "lowercase", "asciifolding" ]
},
sorted: {
tokenizer: 'keyword',
filter: ['lowercase', 'asciifolding']
}
}
}
define_type Location do
field :name, type: 'string', analyzer: 'standard' do
field :folded, type: 'string', analyzer: "folding"
end
field :address, type: 'string', analyzer: 'standard' do
field :address, type: 'string', analyzer: 'folding'
end
field :locations, type: 'geo_point', value: ->{ {lat: lat, lon: lon} }
end
end
当我查询时:
LocationsIndex::Location.query(
multi_match: {
query: keyword,
fields: ["address", "address.folded" ,"name", "name.folded"]
}
)
数据样本:
{ "took" : 2, "timed_out" : false, "_shards" : { “总数”:5, “成功”:5, “失败”:0 },“命中”:{ “总数”:10, “最大分数”:1.0, “命中”:[{ "_index" : "位置", "_type" : "位置", “_id”:“131”, “_score”:1.0, "_source":{"name":"Việt Nam","address":"Việt Nam","locations":{"lat":16.9054,"lon":106.576}} }, { "_index" : "位置", "_type" : "位置", “_id”:“136”, “_score”:1.0, "_source":{"name":"Quan truong Ngo Mon","address":"23/8, Thừa Thiên Huế, Việt Nam","locations":{"lat":16.4669,"lon":107.58} } }, { "_index" : "位置", "_type" : "位置", “_id”:“132”, “_score”:1.0, "_source":{"name":"Thừa Thiên Huế","address":"Thừa Thiên Huế, Việt Nam","locations":{"lat":16.4674,"lon":107.591}} }, { "_index" : "位置", "_type" : "位置", “_id”:“137”, “_score”:1.0, "_source":{"name":"Phu Van Lau","address":"23/8, Thừa Thiên Huế, Việt Nam","locations":{"lat":16.4655,"lon":107.581}} }, { "_index" : "位置", "_type" : "位置", “_id”:“133”, “_score”:1.0, "_source":{"name":"Ha Noi","address":"Ha Noi, Việt Nam","locations":{"lat":16.4674,"lon":107.591}} }, { "_index" : "位置", "_type" : "位置", “_id”:“138”, “_score”:1.0, "_source":{"name":"Cau gia Vien","address":"Le Duan, Thừa Thiên Huế, Việt Nam","locations":{"lat":16.4601,"lon":107.571}} }, { "_index" : "位置", "_type" : "位置", “_id”:“134”, “_score”:1.0, "_source":{"name":"TP Ho Chi Minh","address":"TP Ho Chi Minh, Việt Nam","locations":{"lat":16.4674,"lon":107.591}} }, { "_index" : "位置", "_type" : "位置", “_id”:“139”, “_score”:1.0, "_source":{"name":"Chua thien Pagoda","address":"Kim Long, Thừa Thiên Huế, Việt Nam","locations":{"lat":16.4537,"lon":107.545}} }, { "_index" : "位置", "_type" : "位置", “_id”:“130”, “_score”:1.0, "_source":{"name":"Việt Nam","address":"Việt Nam","locations":{"lat":16.9054,"lon":106.576}} }, { "_index" : "位置", "_type" : "位置", “_id”:“135”, “_score”:1.0, "_source":{"name":"Dai Noi Hue","address":"23/8, Thừa Thiên Huế, Việt Nam","locations":{"lat":16.4698,"lon":107.577}} } ] } }
当我使用关键字 =“越南”运行查询时
result :
_id = [131,132,,133,134,135,136,137,138,139,130] # => OK working
但我在使用 keywork = "thua thien hue" 运行查询时
result :
_id = [132,135,139] # => Don't working ???, should have been: _id = [132,135,136,137,138,139]
与 keywork = "hue" 相同
result :
_id = [132,135] # => Don't working ???, should have been: _id = [132,135,136,137,138,139]
如何搜索包含上述单词的结果(添加类型,或做任何事情)
【问题讨论】:
标签: ruby-on-rails ruby elasticsearch rubygems ruby-on-rails-4.2