sorting - 内部查询中单个查询的 Elasticsearch 排序结果

Question

我有一个Elastic Search服务器设置，用于存储要用于公司搜索的公司名称，其工作方式是:

在公司名称中，空格和点将被删除并存储在ES中的trimmedcompanyname字段中，

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

现在，当搜索进入我的服务器时，我删除了空格和点，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"
        }
      }
 ]

但是我想要结果

[
      {
        "_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，结果是，各个通配符查询的o / p必须在它们之间进行排序，但是第一个通配符查询的o / p应该先于第二个通配符查询的o / p。有人可以帮我吗？

Answer 1

我得到了解决方案，对搜索结果以及trimmedcompanyname进行了排序。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"}
    }
  ]
}

希望能帮助到你!