内部单个查询的弹性搜索排序结果应该 bool 查询答案

【问题标题】：Elastic search sorting results of individual queries inside should bool query内部单个查询的弹性搜索排序结果应该 bool 查询
【发布时间】：2020-02-29 17:16:09
【问题描述】：

我有一个 Elastic Search 服务器设置，其中存储了用于公司搜索的公司名称，它的工作方式是：

从公司名称中，空格和点将被删除并存储在 ES 中名为 trimmedcompanyname 的字段中，

{
          "companyName" : "RECKON INFOSYSTEM PRIVATE LIMITED",
          "trimmedCompanyName" : "reckoninfosystemprivatelimited",
          "id" : "1079"
}

现在当搜索到我的服务器时，我删除空格和点，然后向 ES 服务器发出请求。查询格式的ES请求为：

GET /_search
{
   "from": 0,"size":1000,
    "query": {
      "bool": {
      "should": [
        {
          "wildcard": {
            "trimmedCompanyName.keyword": {
              "value": "infosys*"
            }
          }
        },
        {
          "wildcard": {
            "trimmedCompanyName.keyword": {
              "value": "*infosys*"
            }
          }
        }
      ]
    }
    }
}

现在这给出了结果

[
      {
        "_source" : {
          "companyName" : "INFOSYS LIMITED",
          "trimmedCompanyName" : "infosyslimited"
        }
      ,
      {
        "_source" : {
          "companyName" : "INFOSYSTEM BPO LIMITED",
          "trimmedCompanyName" : "infosysbpolimited"
        }
      },
      {
        "_source" : {
          "companyName" : "INFOSYS ASIC SYSTEMS",
          "trimmedCompanyName" : "infosysasicsystems"
        }
      },
      {
        "_source" : {
          "companyName" : "SUMEDH INFOSYSTEMS PRIVATE LIMITED",
          "trimmedCompanyName" : "sumedhinfosystemsprivatelimited"
        }
      },
      {
        "_source" : {
          "companyName" : "ASSURE INFOSYSTEMS PRIVATE LIMITED",
          "trimmedCompanyName" : "assureinfosystemsprivatelimited"
        }
      },
      {
        "_source" : {
          "companyName" : "IMBIBE INFOSYSTEM PRIVATE LIMITED",
          "trimmedCompanyName" : "imbibeinfosystemprivatelimited"
        }
      },
      {
        "_source" : {
          "companyName" : "GOOFY INFOSYSTEM PRIVATE LIMITED",
          "trimmedCompanyName" : "goofyinfosystemprivatelimited"
        }
      },
      {
        "_source" : {
          "companyName" : "DHRUV INFOSYSTEMS PRIVATE LIMITED",
          "trimmedCompanyName" : "dhruvinfosystemsprivatelimited"
        }
      }
 ]

但我希望结果为

[
      {
        "_source" : {
          "companyName" : "INFOSYS ASIC SYSTEMS",
          "trimmedCompanyName" : "infosysasicsystems"
        }
      },
      {
        "_source" : {
          "companyName" : "INFOSYSTEM BPO LIMITED",
          "trimmedCompanyName" : "infosysbpolimited"
        }
      },
      {
        "_source" : {
          "companyName" : "INFOSYS LIMITED",
          "trimmedCompanyName" : "infosyslimited"
        }
      ,
      {
        "_source" : {
          "companyName" : "ASSURE INFOSYSTEMS PRIVATE LIMITED",
          "trimmedCompanyName" : "assureinfosystemsprivatelimited"
        }
      },
      {
        "_source" : {
          "companyName" : "DHRUV INFOSYSTEMS PRIVATE LIMITED",
          "trimmedCompanyName" : "dhruvinfosystemsprivatelimited"
        }
      },
      {
        "_source" : {
          "companyName" : "GOOFY INFOSYSTEM PRIVATE LIMITED",
          "trimmedCompanyName" : "goofyinfosystemprivatelimited"
        }
      },
      {
        "_source" : {
          "companyName" : "IMBIBE INFOSYSTEM PRIVATE LIMITED",
          "trimmedCompanyName" : "imbibeinfosystemprivatelimited"
        }
      },
      {
        "_source" : {
          "companyName" : "SUMEDH INFOSYSTEMS PRIVATE LIMITED",
          "trimmedCompanyName" : "sumedhinfosystemsprivatelimited"
        }
      }
  ]

即结果，各个通配符查询的 o/p 必须在它们之间进行排序，但第一个通配符查询的 o/p 应该在第二个通配符查询的 o/p 之前。有人可以帮我解决这个问题吗？

【问题讨论】：

这能回答你的问题吗？ Elastic search wildcard query to get sorted results

标签： sorting elasticsearch

【解决方案1】：

我得到了解决方案，根据搜索分数和 trimmedcompanyname 进行排序。我的最终查询是：

GET /_search
{
   "from": 0,"size":1000,
    "query": {
      "bool": {
      "should": [
        {
          "wildcard": {
            "trimmedCompanyName.keyword": {
              "value": "infosys*"
            }
          }
        },
        {
          "wildcard": {
            "trimmedCompanyName.keyword": {
              "value": "*infosys*"
            }
          }
        }
      ]
    }
    },
      "sort": [
    {
      "_score": {
        "order": "desc"
      }
    },
    {
      "trimmedCompanyName.keyword": {"order": "asc"}
    }
  ]
}

希望对你有帮助！

【讨论】：