以下是我的设置:
{
"countries": {
"aliases": {},
"mappings": {
"country": {
"properties": {
"countryName": {
"type": "string"
}
}
}
},
"settings": {
"index": {
"creation_date": "1472140045116",
"analysis": {
"filter": {
"synonym": {
"ignore_case": "true",
"type": "synonym",
"synonyms_path": "synonym.txt"
}
},
"analyzer": {
"synonym": {
"filter": [
"synonym"
],
"tokenizer": "whitespace"
}
}
},
"number_of_shards": "5",
"number_of_replicas": "1",
"uuid": "7-fKyD9aR2eG3BwUNdadXA",
"version": {
"created": "2030599"
}
}
},
"warmers": {}
}
}
我的synonym.txt
文件位于主config
文件夹内的elasticsearch
文件夹中。
这是我的问题:
query: {
query_string: {
fields: ["countryName"],
default_operator: "AND",
query: searchInput,
analyzer: "synonym"
}
}
synonym.txt
中的字词是:我们,美国,美国。
所以这不起作用。有趣的是,当我输入synonym.txt
文件中的任何单词时,搜索正常,除了。例如,当我通常在搜索中输入 us 时,我会得到结果。使用此分析仪,我们不会给我任何东西。
我已经完成了close
和open
到我的ES服务器,但它仍然无法正常工作。
修改
document
的一个例子:
{
"_index": "countries",
"_type": "country",
"_id": "57aabeb80057405968de152b",
"_score": 1,
"_source": {
"countryName": "United States"
}
searchInput
的示例(这来自前端):
united states
编辑#2 :
这是我更新的索引配置文件:
{
"countries": {
"aliases": {},
"mappings": {},
"settings": {
"index": {
"number_of_shards": "5",
"creation_date": "1472219634083",
"analysis": {
"filter": {
"synonym": {
"ignore_case": "true",
"type": "synonym",
"synonyms_path": "synonym.txt"
}
},
"analyzer": {
"synonym": {
"filter": [
"synonym"
],
"tokenizer": "whitespace"
}
}
},
"country": {
"properties": {
"countryName": {
"type": "string",
"analyzer": "synonym"
},
"number_of_replicas": "1",
"uuid": "50ZwpIVFTqeD_rJxlmd59Q",
"version": {
"created": "2030599"
}
}
},
"warmers": {}
}
}
}
}
当我尝试添加文档并对所述文档进行搜索时,synonym
分析器对我不起作用。
编辑#3
以下是索引中的2个文档:
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [{
"_index": "stocks",
"_type": "stock",
"_id": "2",
"_score": 1,
"_source": {
"countryName": "United States"
}
}, {
"_index": "stocks",
"_type": "stock",
"_id": "1",
"_score": 1,
"_source": {
"countryName": "Canada"
}
}]
}
}
答案 0 :(得分:2)
你很接近,但我建议仔细阅读this section from the documentation以更好地了解这项功能。
作为解决方案:
PUT /countries
{
"mappings": {
"country": {
"properties": {
"countryName": {
"type": "string",
"analyzer": "synonym"
}
}
}
},
"settings": {
"analysis": {
"filter": {
"synonym": {
"ignore_case": "true",
"type": "synonym",
"synonyms_path": "synonym.txt"
}
},
"analyzer": {
"synonym": {
"filter": [
"lowercase",
"synonym"
],
"tokenizer": "whitespace"
}
}
}
}
}
您需要删除索引并使用上面的映射再次创建它。 然后使用此查询:
"query": {
"query_string": {
"fields": [
"countryName"
],
"default_operator": "AND",
"query": "united states"
}
}
答案 1 :(得分:0)
按下txt后删除/创建了索引吗?
如果您使用"synonyms": ""
"synonyms_path"