弹性搜索中的自动完成

Question

我打算为电子商务网站做一个基于弹性搜索的自动完成模块。我正在使用edge_ngram作为建议。我尝试了这种配置。

**My index creation :** 

PUT my_index 
{ 
    "settings": { 
    "analysis": { 
     "analyzer": { 
     "autocomplete": { 
      "tokenizer": "autocomplete", 
      "filter": [ 
      "lowercase" 
      ] 
     }, 
     "autocomplete_search": { 
      "tokenizer": "lowercase" 
     } 
     }, 
     "tokenizer": { 
     "autocomplete": { 
      "type": "edge_ngram", 
      "min_gram": 1, 
      "max_gram": 10, 
      "token_chars": [ 
      "letter","digit" 
      ] 
     } 
     } 
    } 
    }, 
    "mappings": { 
    "doc": { 
     "properties": { 
     "title": { 
      "type": "text", 
      "analyzer": "autocomplete", 
      "search_analyzer": "autocomplete_search" 
     } 
     } 
    } 
    } 
} 

**Inserting Data** 

PUT my_index/doc/1 
{ 
    "title": "iphone s" 
} 

PUT my_index/doc/9 
{ 
    "title": "iphone ka" 
} 

PUT my_index/doc/11 
{ 
    "title": "iphone ka t" 
} 

PUT my_index/doc/15 
{ 
    "title": "iphone 6" 
} 

PUT my_index/doc/14 
{ 
    "title": "iphone 6 16GB" 
} 

PUT my_index/doc/3 
{ 
    "title": "iphone k" 
} 

POST my_index/_refresh 

POST my_index/_analyze 
{ 
    "tokenizer": "autocomplete", 
    "text": "iphone 6" 
} 

POST my_index/_analyze 
{ 
    "analyzer": "pattern", 
    "text": "iphone 6" 
} 

**Autocomplete suggestions** 
When i am trying to find out closets match to iphone 6.It is not showing correct result. 

GET my_index/_search 
{ 
    "query": { 
    "match": { 
     "title": { 
     "query": "iphone 6", 
     "operator": "and" 
     } 
    } 
    } 
} 


**Above query yielding :** 
{ 
    "took": 0, 
    "timed_out": false, 
    "_shards": { 
    "total": 5, 
    "successful": 5, 
    "failed": 0 
    }, 
    "hits": { 
    "total": 7, 
    "max_score": 0.28582606, 
    "hits": [ 
     { 
     "_index": "my_index", 
     "_type": "doc", 
     "_id": "1", 
     "_score": 0.28582606, 
     "_source": { 
      "title": "iphone s" 
     } 
     }, 
     { 
     "_index": "my_index", 
     "_type": "doc", 
     "_id": "9", 
     "_score": 0.25811607, 
     "_source": { 
      "title": "iphone ka" 
     } 
     }, 
     { 
     "_index": "my_index", 
     "_type": "doc", 
     "_id": "14", 
     "_score": 0.24257512, 
     "_source": { 
      "title": "iphone 6 16GB" 
     } 
     }, 
     { 
     "_index": "my_index", 
     "_type": "doc", 
     "_id": "3", 
     "_score": 0.19100356, 
     "_source": { 
      "title": "iphone k" 
     } 
     }, 
     { 
     "_index": "my_index", 
     "_type": "doc", 
     "_id": "15", 
     "_score": 0.1862728, 
     "_source": { 
      "title": "iphone 6" 
     } 
     }, 
     { 
     "_index": "my_index", 
     "_type": "doc", 
     "_id": "11", 
     "_score": 0.16358379, 
     "_source": { 
      "title": "iphone ka t" 
     } 
     }, 
     { 
     "_index": "my_index", 
     "_type": "doc", 
     "_id": "2", 
     "_score": 0.15861572, 
     "_source": { 
      "title": "iphone 5 s" 
     } 
     } 
    ] 
    } 
} 

但结果应该是：

 { 
     "_index": "my_index", 
     "_type": "doc", 
     "_id": "15", 
     "_score": 1, 
     "_source": { 
      "title": "iphone 6" 
     } 
     } 

请让我知道如果我缺少这个东西，我是新来这个所以不知道，可能会产生更好的结果任何其他方法。

Answer 1

您正在使用autocomplete_search作为您的search_analyzer。如果你看看你的文本如何使用你指定的搜索分析器进行分析。

POST my_index/_analyze 
{ 
"analyzer": "autocomplete_search", 
"text": "iphone 6" 
} 

你会得到

{ 
"tokens": [ 
    { 
    "token": "iphone",   ===> Only one token 
    "start_offset": 0, 
    "end_offset": 6, 
    "type": "word", 
    "position": 0 
    } 
    ] 
} 

由于所有的文档reverse index有这个（iphone）令牌。因此，所有文件都会返回

如果您想匹配所需的结果，您可以使用索引时使用的分析仪。

{ 
"query": { 
"match": { 
    "title": { 
    "query": "iphone 6", 
    "operator": "and", 
    "analyzer" : "autocomplete" 
    } 
    } 
} 
}