我正在使用elasiticsearch dsl和SmartCN分析器：
from elasticsearch_dsl import analyzer
analyzer_cn = analyzer(
'smartcn',
tokenizer=tokenizer('smartcn_tokenizer'),
filter=['lowercase']
)
我使用multi_match来匹配几个术语：
from elasticsearch_dsl import Q
q_new = Q("multi_match", query="SOME_QUERY", fields=["FEIDL_NAME"])
期望的行为是ES只返回至少有两个字符匹配的文档。我已经查看了文档，但找不到一种方法来阻止Elasticsearch在单个字符上匹配。
如有任何指示/建议，我们将不胜感激。谢谢
所需的行为是ES只返回至少具有两个字符匹配。
我不熟悉SmartCN analyzer，但如果你想至少匹配2个字符，那么根据你的用例，你可以使用N-gram标记器，每当遇到指定字符列表中的一个时，它会首先将文本分解为单词，然后为指定长度的每个单词发出N-gram。
索引映射：
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "ngram",
"min_gram": 2, <-- note this
"max_gram": 20,
"token_chars": [
"letter",
"digit"
]
}
}
},
"max_ngram_diff": 50
},
"mappings": {
"properties": {
"title": {
"type": "text",
"analyzer": "my_analyzer",
"search_analyzer": "standard"
}
}
}
}
指数数据：
{
"title": "world"
}
分析API
搜索查询将不匹配"title": "w"，因为生成的令牌具有最小长度2(因为min_gram在上面的索引映射中定义为2(
生成的令牌为：
POST/_analyze
{
"tokens": [
{
"token": "wo",
"start_offset": 0,
"end_offset": 2,
"type": "word",
"position": 0
},
{
"token": "wor",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 1
},
{
"token": "worl",
"start_offset": 0,
"end_offset": 4,
"type": "word",
"position": 2
},
{
"token": "world",
"start_offset": 0,
"end_offset": 5,
"type": "word",
"position": 3
},
{
"token": "or",
"start_offset": 1,
"end_offset": 3,
"type": "word",
"position": 4
},
{
"token": "orl",
"start_offset": 1,
"end_offset": 4,
"type": "word",
"position": 5
},
{
"token": "orld",
"start_offset": 1,
"end_offset": 5,
"type": "word",
"position": 6
},
{
"token": "rl",
"start_offset": 2,
"end_offset": 4,
"type": "word",
"position": 7
},
{
"token": "rld",
"start_offset": 2,
"end_offset": 5,
"type": "word",
"position": 8
},
{
"token": "ld",
"start_offset": 3,
"end_offset": 5,
"type": "word",
"position": 9
}
]
}
**Search Query:**
{
"query": {
"match": {
"title": "wo"
}
}
}
搜索结果：
"hits": [
{
"_index": "stof_64003025",
"_type": "_doc",
"_id": "2",
"_score": 0.56802315,
"_source": {
"title": "world"
}
}
]