我正在尝试让同义词适用于我现有的设置。目前我有这样的设置:
PUT city
{
"settings": {
"analysis": {
"analyzer": {
"autocomplete": {
"tokenizer": "autocomplete",
"filter": [
"lowercase",
"my_synonym_filter",
"german_normalization",
"my_ascii_folding"
]
},
"autocomplete_search": {
"tokenizer": "lowercase",
"filter": [
"lowercase",
"my_synonym_filter",
"german_normalization",
"my_ascii_folding"
]
}
},
"filter": {
"my_ascii_folding": {
"type": "asciifolding",
"preserve_original": true
},
"my_synonym_filter": {
"type": "synonym",
"ignore_case": "true",
"synonyms": [
"sankt, st => sankt"
]
}
},
"tokenizer": {
"autocomplete": {
"type": "edge_ngram",
"min_gram": 1,
"max_gram": 15,
"token_chars": [
"letter",
"digit",
"symbol"
]
}
}
}
},
"mappings": {
"city": {
"properties": {
"name": {
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "autocomplete_search"
}
}
}
}
}
在这个City
索引中,我有这样的文档:
St. Wolfgang
或Sankt Wolfgang
等等。对我而言St.
和Sankt
是同义词。因此,如果我搜索Sankt
,则应显示两个文档。
我创建了一个新过滤器并将过滤器添加到我的autocomplete analyzer
:
"my_synonym_filter": {
"type": "synonym",
"ignore_case": "true",
"synonyms": [
"sankt, st."
]
}
现在很好。但我面临的问题是:
很明显st
之后的点没有被分析,而且目前无法搜索。但对于同义词来说,点很重要。
第二个问题是,如果我搜索sankt
同义词是st
,它会向我提供所有以Stuttgart
开头的文档。所以这也是因为没有使用点。
你知道我怎么能实现这些目标吗?如果您需要更多信息,请告诉我。
更新
经过讨论后,我在我的设置中进行了这项更改:
将edge_ngram
标记生成器更改为standard
标记生成器。
添加了edgeNGram
过滤器,并将此过滤器添加到我的分析器中。
从我的分析器中删除过滤器german_normalization
和my_ascii_folding
以简化测试。
PUT city
{
"settings": {
"analysis": {
"analyzer": {
"autocomplete": {
"tokenizer": "autocomplete",
"filter": [
"lowercase",
"my_synonym_filter",
"edge_filter"
]
},
"autocomplete_search": {
"tokenizer": "autocomplete",
"filter": [
"my_synonym_filter",
"lowercase"
]
}
},
"filter": {
"edge_filter": {
"type": "edgeNGram",
"min_gram": 1,
"max_gram": 15
},
"my_synonym_filter": {
"type": "synonym",
"ignore_case": "true",
"synonyms": [
"sankt, st => sankt"
]
}
},
"tokenizer": {
"autocomplete": {
"type": "standard"
}
}
}
},
"mappings": {
"city": {
"properties": {
"name": {
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "autocomplete_search"
}
}
}
}
}
我将这3个文件添加到索引中:
"name":"Sankt Wolfgang",
"name":"Stuttgart",
"name":"St. Wolfgang"
查询字符串 - 结果
st -> "St. Wolfgang", "Stuttgart"
st. -> "St. Wolfgang", "Sankt Wolfgang"
sankt -> "St. Wolfgang", "Sankt Wolfgang"
答案 0 :(得分:1)
这对我来说效果很好。这里的要点是确保
所以我们创建索引:
PUT city
{
"settings": {
"analysis": {
"analyzer": {
"autocomplete": {
"tokenizer": "standard",
"filter": [
"lowercase",
"my_synonym_filter",
"edge_filter"
]
},
"autocomplete_search": {
"tokenizer": "standard",
"filter": [
"lowercase",
"my_synonym_filter"
]
}
},
"filter": {
"edge_filter": {
"type": "edgeNGram",
"min_gram": 1,
"max_gram": 15
},
"my_synonym_filter": {
"type": "synonym",
"ignore_case": "true",
"synonyms": [
"sankt, st. => sankt"
]
}
}
}
},
"mappings": {
"city": {
"properties": {
"name": {
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "autocomplete_search"
}
}
}
}
}
然后我们索引数据:
PUT city/city/1
{
"name":"St. Wolfgang"
}
PUT city/city/2
{
"name":"Stuttgart"
}
PUT city/city/3
{
"name":"Sankt Wolfgang"
}
最后搜索st
或sankt
只返回文档1和3但不返回2
POST city/_search?q=name:st
POST city/_search?q=name:sankt