精确整词匹配，用于等于运算

ybzsozfc  于 2021-06-13  发布在  ElasticSearch
关注(0)|答案(1)|浏览(368)

我正在寻找一种方法，通过匹配从elasticsearch准确的整个词的结果。这是用于ui中的“eq”（“=”）操作。

  1. {
  2.     "_index": "docs",
  3.     "_type": "_doc",
  4.     "_id": "1",
  5.     "_score": 1.0,
  6.     "_source": {
  7.         "DocId": 1,
  8.         "DocDate": "2020-07-24T10:16:44.0000000Z",
  9.         "Conversation": "I just need to know how frequently I should remind you"
  10.     }
  11. },
  12. {
  13.     "_index": "docs",
  14.     "_type": "_doc",
  15.     "_id": "2",
  16.     "_score": 1.0,
  17.     "_source": {
  18.         "DocId": 2,
  19.         "DocDate": "2020-07-25T10:16:45.0000000Z",
  20.         "Conversation": "Building a work culture in your firm"
  21.     }
  22. }

在这里，当用“我只需要知道我应该多久提醒你一次”来查询会话时，只有es应该返回docid 1数据。即使查询像“我只需要知道我应该多久提醒一次”，那么它应该返回空的。
我尝试了这些es查询，但没有找到答案。

  1. GET docs/_search
  2. {
  3.   "query": {
  4.     "bool": {
  5.       "must": [
  6.         {"match_phrase": {
  7.           "Conversation": "just need to know"
  8.         }}
  9.       ]
  10.     }
  11.   }
  12. }
  14. GET docs/_search
  15. {
  16.   "query": {
  17.     "query_string": {
  18.       "default_field": "Conversation",
  19.       "query": "\"just need to know\""
  20.     }
  21.   }
  22. }
  24. GET docs/_search
  25. {
  26.   "query": {
  27.     "bool": {
  28.       "must": [
  29.         {
  30.           "match": {
  31.             "Conversation": {"query": "just need to know",
  32.               "operator": "and"
  33.             }
  34.           }
  35.         }
  36.       ]
  37.     }
  38.   }
  39. }
elasticsearchelasticsearch-query

1条答案

按热度按时间
1szpjjfi

1szpjjfi1#

你需要加上 .keyword 到 Conversation 现场。这将使用关键字分析器而不是标准分析器（注意在 Conversation 字段）。
使用标准分析仪时

  1. GET /_analyze
  2. {
  3.   "analyzer" : "standard",
  4.   "text" : "I just need to know how frequently I should remind you"
  5. }

生成以下令牌：

  1. {
  2.   "tokens": [
  3.     {
  4.       "token": "i",
  5.       "start_offset": 0,
  6.       "end_offset": 1,
  7.       "type": "<ALPHANUM>",
  8.       "position": 0
  9.     },
  10.     {
  11.       "token": "just",
  12.       "start_offset": 2,
  13.       "end_offset": 6,
  14.       "type": "<ALPHANUM>",
  15.       "position": 1
  16.     },
  17.     {
  18.       "token": "need",
  19.       "start_offset": 7,
  20.       "end_offset": 11,
  21.       "type": "<ALPHANUM>",
  22.       "position": 2
  23.     },
  24.     {
  25.       "token": "to",
  26.       "start_offset": 12,
  27.       "end_offset": 14,
  28.       "type": "<ALPHANUM>",
  29.       "position": 3
  30.     },
  31.     {
  32.       "token": "know",
  33.       "start_offset": 15,
  34.       "end_offset": 19,
  35.       "type": "<ALPHANUM>",
  36.       "position": 4
  37.     },
  38.     {
  39.       "token": "how",
  40.       "start_offset": 20,
  41.       "end_offset": 23,
  42.       "type": "<ALPHANUM>",
  43.       "position": 5
  44.     },
  45.     {
  46.       "token": "frequently",
  47.       "start_offset": 24,
  48.       "end_offset": 34,
  49.       "type": "<ALPHANUM>",
  50.       "position": 6
  51.     },
  52.     {
  53.       "token": "i",
  54.       "start_offset": 35,
  55.       "end_offset": 36,
  56.       "type": "<ALPHANUM>",
  57.       "position": 7
  58.     },
  59.     {
  60.       "token": "should",
  61.       "start_offset": 37,
  62.       "end_offset": 43,
  63.       "type": "<ALPHANUM>",
  64.       "position": 8
  65.     },
  66.     {
  67.       "token": "remind",
  68.       "start_offset": 44,
  69.       "end_offset": 50,
  70.       "type": "<ALPHANUM>",
  71.       "position": 9
  72.     },
  73.     {
  74.       "token": "you",
  75.       "start_offset": 51,
  76.       "end_offset": 54,
  77.       "type": "<ALPHANUM>",
  78.       "position": 10
  79.     }
  80.   ]
  81. }

而关键字分析器将整个输入字符串作为单个标记返回。如果尚未定义任何显式Map，则修改的搜索查询将是：

  1. {
  2.   "query": {
  3.     "match": {
  4.       "Conversation.keyword": "I just need to know how frequently I should remind you"
  5.     }
  6.   }
  7. }

您甚至可以通过以下方式更改索引Map：

  1. {
  2.   "mappings": {
  3.     "properties": {
  4.       "Conversation": {
  5.         "type": "keyword"
  6.       }
  7.     }
  8.   }
  9. }
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