Question

我在具有以下结构的ElasticSearch中创建了索引

{
  "took": 17,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 9,
      "relation": "eq"
    },
    "max_score": 1.0,
    "hits": [
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "ou57P24BbiLEFIdnhkkg",
        "_score": 1.0,
        "_source": {
          "name": "Hung Le",
          "age": "34"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "o-57P24BbiLEFIdnx0kj",
        "_score": 1.0,
        "_source": {
          "name": "Viet Pham",
          "age": "20"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "pO58P24BbiLEFIdnAUm-",
        "_score": 1.0,
        "_source": {
          "name": "Quy Tran",
          "age": "21"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "pe58P24BbiLEFIdnJ0mn",
        "_score": 1.0,
        "_source": {
          "name": "Khiem Pham",
          "age": "22"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "pu58P24BbiLEFIdngUnX",
        "_score": 1.0,
        "_source": {
          "name": "PhamHoangViet",
          "age": "21"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "p-59P24BbiLEFIdnPUma",
        "_score": 1.0,
        "_source": {
          "name": "Nguyễn Trần Trung Quân",
          "age": "21"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "qO59P24BbiLEFIdnbkkO",
        "_score": 1.0,
        "_source": {
          "name": "Đặng Tấn Sĩ",
          "age": "21"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "qe5_P24BbiLEFIdnDknH",
        "_score": 1.0,
        "_source": {
          "name": "Văn Trung",
          "age": "34"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "qu5_P24BbiLEFIdnZkm3",
        "_score": 1.0,
        "_source": {
          "name": "Phạm Nguyễn Minh Quân",
          "age": "34"
        }
      }
    ]
  }
}

这是我的数据：

http://localhost:9200/my_index2/_search?q=name:Trung+Quân

我用关键字“ TrungQuân”进行搜索：

{
  "took": 6,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 3,
      "relation": "eq"
    },
    "max_score": 2.19989,
    "hits": [
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "p-59P24BbiLEFIdnPUma",
        "_score": 2.19989,
        "_source": {
          "name": "Nguyễn Trần Trung Quân",
          "age": "21"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "qe5_P24BbiLEFIdnDknH",
        "_score": 1.497693,
        "_source": {
          "name": "Văn Trung",
          "age": "34"
        }
      },
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "qu5_P24BbiLEFIdnZkm3",
        "_score": 1.099945,
        "_source": {
          "name": "Phạm Nguyễn Minh Quân",
          "age": "34"
        }
      }
    ]
  }
}

结果如下：

{
  "took": 9,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 2,
      "relation": "eq"
    },
    "max_score": 2.6052008,
    "hits": [
      {
        "_index": "my_index2",
        "_type": "_doc",
        "_id": "p-59P24BbiLEFIdnPUma",
        "_score": 2.6052008,
        "_source": {
          "name": "Nguyễn Trần Trung Quân",
          "age": "21"
        }
      }

    ]
  }
}

它将检索包含单词“ Trung”或单词“Quân”的所有结果。现在，我必须如何配置索引，以便结果包含以下内容的“ Trung”和“Quân”：

from collections import Counter
import time
#10 sec
t_end = time.time() + 10
arr = []

while time.time() < t_end:
    #print(time.time())
    arr.append(random.randint(0,100))

arr = Counter(arr)
print(arr.most_common(3))

Answer 1

在您的示例中，name被映射为一个多字段，这意味着它在Elasticsearch中存储了两次：

曾针对全文搜索（称为name）进行过一次优化，并且
针对分析和完全匹配进行了一次优化（称为name.keyword）

如果您只对精确匹配搜索感兴趣，而对不是全文搜索感兴趣，则可以通过“固定”映射来实现。只需将name映射为类型keyword的字段并重新索引您的文档即可。映射字段name：

"name": {
    "type": "keyword"
}

如果要保留全文本搜索功能（在对name字段进行查询时），应保留映射不变，并尝试以下查询之一：

＃1使用短语搜索的示例： （不需要完全匹配，但两个词都需要以正确的顺序/顺序匹配。请使用双引号）

http://localhost:9200/my_index2/_search?q=name:"Trung Quân"

＃2使用完全匹配的示例： （姓名必须从头到尾匹配，且大小写和重音完全相同）

http://localhost:9200/my_index2/_search?q=name.keyword:"Trung Quân"

Elastic Search中的“标准”类型

1 个答案: