如何在 Elasticsearch 中编写复杂的 DSL 查询？

问题描述

这是我在多字段映射中创建索引所使用的

curl -X PUT http://localhost:9200/mapping_log
{ "mappings":{ "properties":{"data1:{"type": "text","fields":{"keyword":{"type":"keyword"}}},{"data2":{"type": "text",{"data3":{"type": "text",} } }  

这是我在弹性搜索中的数据，我想进行搜索，例如，当我搜索支持时，我应该获得值数据和服务器，当我搜索开发人员时，我应该获得 geo 和 graph，并且我想要建议者data3 就像假设如果我输入 g 那么我应该得到图形和地理选项，有人可以帮我解决这个问题吗..

{
        "took": 14,"timed_out": false,"_shards": {
            "total": 1,"successful": 1,"skipped": 0,"Failed": 0
        },"hits": {
            "total": {
                "value": 4,"relation": "eq"
            },"max_score": 1,"hits": [
                {
                    "_index": "mapping_log","_type": "properties","_id": "1","_score": 1,"_source": {
                        "data1": "support","data2": "data","data3": "datapos"
                    }
                },{
                    "_index": "mapping_log","_id": "2","data2": "server","data3": "serverpos"
                    }
                },"_id": "3","_source": {
                        "data1": "developer","data2": "graph","data3": "graPHPos"
                    }
                },"_id": "4","data2": "geo","data3": "geopos"
                    }
                }
            ]
        }
    }

解决方法

您需要将 edge_ngram tokenizer 与 source filtering 一起使用

添加包含索引数据（与问题相同）、索引映射、搜索查询和搜索结果的工作示例

索引映射：

{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },"tokenizer": {
        "my_tokenizer": {
          "type": "edge_ngram","min_gram": 1,"max_gram": 10,"token_chars": [
            "letter","digit"
          ]
        }
      }
    }
  },"mappings": {
    "properties": {
      "data1": {
        "type": "text"
      },"data2": {
        "type": "text"
      },"data3": {
        "type": "text","analyzer":"my_analyzer"
      }
    }
  }
}

搜索查询：

当我寻求支持时，我应该得到值数据和服务器

{
  "_source": [
    "data2"
  ],"query": {
    "multi_match": {
      "query": "support","fields": [
        "data1","data2"
      ]
    }
  }
}

搜索结果：

"hits": [
      {
        "_index": "67260491","_type": "_doc","_id": "1","_score": 1.4094054,"_source": {
          "data2": "server"
        }
      },{
        "_index": "67260491","_id": "4","_score": 0.44183272,"_source": {
          "data2": "data"
        }
      }
    ]

---

搜索查询：

{
  "_source": [
    "data2"
  ],"query": {
    "multi_match": {
      "query": "developer","data2"
      ]
    }
  }
}

搜索结果：

 "hits": [
      {
        "_index": "67260491","_id": "2","_score": 1.0296195,"_source": {
          "data2": "graph"
        }
      },"_id": "3","_source": {
          "data2": "geo"
        }
      }
    ]

---

搜索查询：

我想要 data3 的建议者，比如假设我输入 g 那么我应该得到 图形和地理选项

{
  "_source": [
    "data3"
  ],"query": {
    "match": {
      "data3": "g"
    }
  }
}

搜索结果：

"hits": [
      {
        "_index": "67260491","_score": 1.1123568,"_source": {
          "data3": "geopos"
        }
      },"_score": 0.99270093,"_source": {
          "data3": "graphpos"
        }
      }
    ]

---

更新 1：

您可以将索引映射更新为

PUT /<index-name>/_mapping

{
  "properties": {
    "data2": {
      "type": "text","fields": {
        "keyword": {
          "type": "keyword"
        }
      }
    }
  }
}