elasticsearch - 文本字段上的ElasticSearch Analyzer

Question

这是我在elasticSearch上的 Realm :

"keywordName": {
        "type": "text",
        "analyzer": "custom_stop"
      }

这是我的分析仪:

"custom_stop": {
      "type":      "custom",
      "tokenizer": "standard",
      "filter": [
        "my_stop",
        "my_snow",
        "asciifolding"
      ]
    }

这是我的过滤器:

           "my_stop": {
              "type":       "stop",
              "stopwords":  "_french_"
          },
           "my_snow" : {
                "type" : "snowball",
                "language" : "French"
            }

这是我的文档的索引(在我的唯一字段:keywordName中):

“canne peche”，“canne”，“canne a peche telescopique”，“iphone 8”，“iphone 8手机壳”，“iphone 8保护套”，“iphone 8充电器”，“iphone 8新”

当我搜索“canne”时，它给了我“canne”文档，这是我想要的:

GET ads/_search
{
   "query": {
    "match": {
      "keywordName": {
        "query": "canne",
        "operator":  "and"
      }
    }
  },
  "size": 1
}

当我搜索“canneàpêche”时，它也给我“canne peche”，也可以。与“CannesàPêche”->“canne a peche”-> OK相同。

这是棘手的部分:当我搜索“iphone 8”时，它给了我“iphone 8保护套”而不是“iphone 8”。如果更改大小，则设置为5(因为它返回包含“iphone 8”的5个结果)。我看到“iphone 8”在得分方面排名第四。首先是“iphone 8保护套”，然后是“iphone 8保护套”，然后是“iphone 8新”，最后是“iphone 8” ...

这是查询的结果:

{
  "took": 5,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 5,
    "max_score": 1.4009607,
    "hits": [
      {
        "_index": "ads",
        "_type": "keyword",
        "_id": "iphone 8 cover",
        "_score": 1.4009607,
        "_source": {
          "keywordName": "iphone 8 cover"
        }
      },
      {
        "_index": "ads",
        "_type": "keyword",
        "_id": "iphone 8 case",
        "_score": 1.4009607,
        "_source": {
          "keywordName": "iphone 8 case"
        }
      },
      {
        "_index": "ads",
        "_type": "keyword",
        "_id": "iphone 8 new",
        "_score": 0.70293105,
        "_source": {
          "keywordName": "iphone 8 new"
        }
      },
      {
        "_index": "ads",
        "_type": "keyword",
        "_id": "iphone 8",
        "_score": 0.5804671,
        "_source": {
          "keywordName": "iphone 8"
        }
      },
      {
        "_index": "ads",
        "_type": "keyword",
        "_id": "iphone 8 charge",
        "_score": 0.46705723,
        "_source": {
          "keywordName": "iphone 8 charge"
        }
      }
    ]
  }
}

我该如何保持关键字“canne a peche”(重音，大写字母，复数形式)的灵活性，但又告诉他，如果存在完全匹配的内容(“iphone 8” =“iphone 8”)，请给我确切的名称keywordName？

Answer 1

我建议是这样的:

    "keywordName": {
      "type": "text",
      "analyzer": "custom_stop",
      "fields": {
        "raw": {
          "type": "keyword"
        }
      }
    }

和查询:

{
  "query": {
    "bool": {
      "should": [
        {
          "match": {
            "keywordName": {
              "query": "iphone 8",
              "operator": "and"
            }
          }
        },
        {
          "term": {
            "keywordName.raw": {
              "value": "iphone 8"
            }
          }
        }
      ]
    }
  },
  "size": 10
}