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Accepted
Ajay
Asked: 2024-09-11 04:02:55 +0800 CST

Elastic Search Analyzer 在搜索时不起作用

  • 772
  1. 仅使用查询时分析器创建索引：
PUT /local_persons
{
  "settings": {
    "analysis": {
      "analyzer": {
        "person_search_analyzer": {
          "type": "custom",
          "char_filter": ["remove_special_chars"],
          "filter": ["lowercase"],
          "tokenizer": "whitespace"
        }
      },
      "char_filter": {
        "remove_special_chars": {
          "type": "pattern_replace",
          "pattern": "[^a-zA-Z0-9]",
          "replacement": ""
        }
      }
    }
  }
}
  1. 使用特殊字符对数据进行索引：
PUT /local_persons/_doc/1
{
  "id": 1,
  "firstName": "Re'mo",
  "lastName": "D'souza",
  "email": "[email protected],
  "dateOfBirth": "1973-01-01",
  "isActive": 1
}

现在搜索查询时的人员：

方法 1：使用 query_string 搜索（查询时使用分析器）

GET /local_persons/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "query_string": {
            "query": "remo",
            "fields": ["firstName"],
            "analyzer": "person_search_analyzer"
          }
        },
        {
          "query_string": {
            "query": "dsouza",
            "fields": ["lastName"],
            "analyzer": "person_search_analyzer"
          }
        }
      ]
    }
  }
}

方法 2：使用匹配查询

GET /local_persons/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "firstName": {
              "query": "remo",
              "analyzer": "person_search_analyzer"
            }
          }
        },
        {
          "match": {
            "lastName": {
              "query": "dsouza",
              "analyzer": "person_search_analyzer"
            }
          }
        }
      ]
    }
  }
}

但上述两种方法均未得到预期的结果。

elasticsearch

1 个回答

  1. Best Answer

    Elastic 没有返回响应，因为它已将“标准”视为索引的默认分析器，而您没有定义索引映射和分析器。

    您可以执行以下 API 来获取有关 ES 中索引内容的信息：

    POST local_persons/_analyze
{
  "text":["Re'mo"],
  "analyzer" : "standard"
}

    回复：

    {
  "tokens": [
    {
      "token": "re'mo",
      "start_offset": 0,
      "end_offset": 5,
      "type": "<ALPHANUM>",
      "position": 0
    }
  ]
}

    让我们看看分析仪的结果：

    POST local_persons/_analyze
{
  "text":["Re'mo"],
  "analyzer" : "person_search_analyzer"
}

    回复：

    {
  "tokens": [
    {
      "token": "remo",
      "start_offset": 0,
      "end_offset": 5,
      "type": "word",
      "position": 0
    }
  ]
}

    如果您观察两者的响应，那么您可以清楚地看到两者给出了不同的响应，因此 Elastic 没有返回响应。

    因此，您可以像下面这样定义索引映射，这将确保索引和搜索时间将使用相同的分析器并返回预期结果。

    PUT /local_persons1
{
  "settings": {
    "analysis": {
      "analyzer": {
        "person_search_analyzer": {
          "type": "custom",
          "char_filter": ["remove_special_chars"],
          "filter": ["lowercase"],
          "tokenizer": "whitespace"
        }
      },
      "char_filter": {
        "remove_special_chars": {
          "type": "pattern_replace",
          "pattern": "[^a-zA-Z0-9]",
          "replacement": ""
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "firstName":{
        "type": "text",
        "analyzer": "person_search_analyzer"
      },
      "lastName":{
        "type": "text",
        "analyzer": "person_search_analyzer"
      }
    }
  }
}

    analyzer现在，即使您没有提供响应，您的两个查询都会返回响应。

    询问：

    GET /local_persons1/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "firstName": {
              "query": "remo"
            }
          }
        },
        {
          "match": {
            "lastName": {
              "query": "dsouza"
            }
          }
        }
      ]
    }
  }
}

    回复：

    {
  "took": 2,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 1,
      "relation": "eq"
    },
    "max_score": 0.5753642,
    "hits": [
      {
        "_index": "local_persons1",
        "_id": "1",
        "_score": 0.5753642,
        "_source": {
          "id": 1,
          "firstName": "Re'mo",
          "lastName": "D'souza",
          "email": "[email protected]",
          "dateOfBirth": "1973-01-01",
          "isActive": 1
        }
      }
    ]
  }
    • 0

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