Elasticsearch query_string完全匹配

Question

我有一个包含field有价值视频的索引1.flv.如果我执行以下查询:

"query": {
    "query_string": {
        "query": "2.flv"
    }
}

查询仍然返回1.flv的所有记录.

谁能指出我正确的解决方案？

以下是为1.flv返回的示例数据(如您所见,没有包含2.flv!)

  "hits" : {
    "total" : 8,
    "max_score" : 0.625,
    "hits" : [ {
      "_index" : "videos",
      "_type" : "comment",
      "_id" : "_meta",
      "_score" : 0.625,
      "fields" : {
        "video" : "1.flv",
        "body" : "Really?"
      }
    }, {
      "_index" : "videos",
      "_type" : "comment",
      "_id" : "0fYsYOTHT7O-7P6CVi7l3w",
      "_score" : 0.625,
      "fields" : {
        "video" : "1.flv",
        "body" : "fadsfasfas"
      }
    }, {
      "_index" : "videos",
      "_type" : "comment",
      "_id" : "O9VjgFdmQra6hYxwMdGuTg",
      "_score" : 0.48553526,
      "fields" : {
        "video" : "1.flv",
        "body" : "Search is hard. Search should be easy."
      }
    }, {
      "_index" : "videos",
      "_type" : "comment",
      "_id" : "A6k3FEKKSzKTSAVIT-4EbA",
      "_score" : 0.48553526,
      "fields" : {
        "video" : "1.flv",
        "body" : "Really?"
      }
    }, {
      "_index" : "videos",
      "_type" : "comment",
      "_id" : "eFnnM4PrTSyW6wfxHWdE8A",
      "_score" : 0.48553526,
      "fields" : {
        "video" : "1.flv",
        "body" : "Hello!"
      }
    }, {
      "_index" : "videos",
      "_type" : "comment",
      "_id" : "ZogAiyanQy6ddXA3o7tivg",
      "_score" : 0.48553526,
      "fields" : {
        "video" : "1.flv",
        "body" : "dcxvxc"
      }
    }, {
      "_index" : "videos",
      "_type" : "comment",
      "_id" : "O0HcT7aGTrqKQxF25KsOwQ",
      "_score" : 0.37158427,
      "fields" : {
        "video" : "1.flv",
        "body" : "Hello!"
      }
    }, {
      "_index" : "videos",
      "_type" : "comment",
      "_id" : "l2d53OFITb-etooWEAI0_w",
      "_score" : 0.37158427,
      "fields" : {
        "video" : "1.flv",
        "body" : "dasdas"
      }
    } ]
  }
}

Answer 1

你所看到的是标准标记器(默认/标准分析器的一部分)的结果,它标记了句点字符(.)等.请参阅此剧本,了解如何分析它的快速示例.

有很多方法可以通过Elasticsearch实现您想要的功能,例如更新映射并将video字段的分析器更改为例如keyword上面提到的分析器,可能使用多字段类型,配置字段映射index: not_analyzed等,但是简单对您来说可能运行良好的解决方案是确保AND正在使用运算符.

默认情况下,查询字符串查询使用OR运算符:

default_operator:如果未指定显式运算符,则使用默认运算符.例如,使用OR的默认运算符,匈牙利的查询资本将转换为OR匈牙利的资本OR,并且使用AND的默认运算符,相同的查询将转换为AND匈牙利的资本AND.默认值为OR.

因此,要么与运算符明确,要么将其设置为默认值.此剧还显示了这些技术的实际应用(右下方窗格中的搜索#1和搜索#2 - 选项卡).