我是弹性搜索的新手。我想实现span near的功能，它还负责精确短语匹配和精确单词序列匹配之后的子字符串匹配。
例如：
我在索引上的文件：
- 男士面霜
- 男士皱纹膏
- 男士高级防皱霜
- 女式奶油
- 女式皱纹膏
- 女式高级皱纹霜
如果我搜索"男士面霜"，我希望结果与上面显示的顺序相同。预期搜索结果：
- 男士奶油-->精确短语匹配
- 男士皱纹膏-->用
slop 1检索词序列 - 男士高级防皱霜-->用
slop 2检索词序列 - 女式奶油-->接近短语匹配的子字符串
- 女性皱纹膏-->用
slop 1子串搜索词序列 - 女性高级皱纹膏-->
slop 2子串搜索词序列
在span_near具有与slop = 2和in_order = true嵌套的span_terms的情况下，我可以实现前3个结果
我无法在剩余的4到6个时间内实现它，因为span_near具有嵌套的span_terms不支持wildcard，在本例中为"男士膏"或"男士膏"。有什么方法可以使用ELASTICSEARCH实现它吗
更新
我的索引：
{
"bluray": {
"settings": {
"index": {
"uuid": "4jofvNfuQdqbhfaF2ibyhQ",
"number_of_replicas": "1",
"number_of_shards": "5",
"version": {
"created": "1000199"
}
}
}
}
}
映射：
{
"bluray": {
"mappings": {
"movies": {
"properties": {
"genre": {
"type": "string"
}
}
}
}
}
}
我正在运行以下查询：
POST /bluray/movies/_search
{
"query": {
"bool": {
"should": [
{
"span_near": {
"clauses": [
{
"span_term": {
"genre": "women"
}
},
{
"span_term": {
"genre": "cream"
}
}
],
"collect_payloads": false,
"slop": 12,
"in_order": true
}
},
{
"custom_boost_factor": {
"query": {
"match_phrase": {
"genre": "women cream"
}
},
"boost_factor": 4.1
}
},
{
"match": {
"genre": {
"query": "women cream",
"analyzer": "standard",
"minimum_should_match": "99%"
}
}
}
]
}
}
}
它给了我以下结果：
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 6,
"max_score": 0.011612939,
"hits": [
{
"_index": "bluray",
"_type": "movies",
"_id": "u9aNkZAoR86uAiW9SX8szQ",
"_score": 0.011612939,
"_source": {
"genre": "men's cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "cpTyKrL6TWuJkXvliibVBQ",
"_score": 0.009290351,
"_source": {
"genre": "men's wrinkle cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "rn_SFvD4QBO6TJQJNuOh5A",
"_score": 0.009290351,
"_source": {
"genre": "men's advanced wrinkle cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "9a31_bRpR2WfWh_4fgsi_g",
"_score": 0.004618556,
"_source": {
"genre": "women's cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "q-DoBBl2RsON_qwLRSoh9Q",
"_score": 0.0036948444,
"_source": {
"genre": "women's advanced wrinkle cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "TxzCP8B_Q8epXtIcfgEw3Q",
"_score": 0.0036948444,
"_source": {
"genre": "women's wrinkle cream"
}
}
]
}
}
这根本不正确。为什么它会先搜索男性，而我已经搜索了女性。
注意：搜索"男士面霜"仍然会返回更好的结果，但不会遵循搜索词的顺序。
POST /bluray/movies/_search
{
"query": {
"bool": {
"should": [
{
"span_near": {
"clauses": [
{
"span_term": {
"genre": "women's"
}
},
{
"span_term": {
"genre": "cream"
}
}
],
"collect_payloads": false,
"slop": 12,
"in_order": true
}
},{
"match": {
"genre": {
"query": "women's cream",
"analyzer": "standard",
"minimum_should_match": "99%"
}
}
}
]
}
}
}
它给出了如下输出，正如您所期望的：
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 6,
"max_score": 0.7841132,
"hits": [
{
"_index": "bluray",
"_type": "movies",
"_id": "4",
"_score": 0.7841132,
"_source": {
"genre": "women's cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "5",
"_score": 0.56961054,
"_source": {
"genre": "women's wrinkle cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "6",
"_score": 0.35892165,
"_source": {
"genre": "women's advanced wrinkle cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "3",
"_score": 0.2876821,
"_source": {
"genre": "men's advanced wrinkle cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "1",
"_score": 0.25811607,
"_source": {
"genre": "men's cream"
}
},
{
"_index": "bluray",
"_type": "movies",
"_id": "2",
"_score": 0.11750762,
"_source": {
"genre": "men's wrinkle cream"
}
}
]
}
}