ElasticSearch索引与搜索时间分析器(ElasticSearch index vs search time analyzer)

 遇到一个问题，这让我觉得我没有完全理解ElasticSearch 5.5中的索引与搜索时间分析。 
 
 假设我有一个只有name和state的人的基本索引。 为了简单起见，我将al => alabama设置为唯一的状态同义词。 
 
PUT people
{
  "mappings": {
    "person": {
      "properties": {
        "name": {
          "type": "text"
        },
        "state": {
          "type": "text",
          "analyzer": "us_state"
        }
      }
    }
  },
  "settings": {
    "analysis": {
      "filter": {
        "state_synonyms": {
          "type": "synonym",
          "synonyms": "al => alabama"
        }
      },
      "analyzer": {
        "us_state": {
          "filter": [
            "standard",
            "lowercase",
            "state_synonyms"
          ],
          "type": "custom",
          "tokenizer": "standard"
        }
      }
    }
  }
}
 
 我的理解是，当我索引一个文档时， state字段数据将被索引为扩展的同义词形式。 这可以运行测试： 
 
GET people/_analyze
{
  "text": "al",
  "field": "state"
}
 
 返回 
 
{
  "tokens": [
    {
      "token": "alabama",
      "start_offset": 0,
      "end_offset": 2,
      "type": "SYNONYM",
      "position": 0
    }
  ]
}
 
 看起来不错，让我们索引一个文件： 
 
POST people/person
{
  "name": "dave",
  "state": "al"
}
 
 并执行搜索： 
 
GET people/person/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "term": {
            "state": "al"
          }
        }
      ]
    }
  }
}
 
 它什么都不返回： 
 
{
  "took": 3,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 0,
    "max_score": null,
    "hits": []
  }
}
 
 我希望我的搜索中的al可以通过相同的us_state分析器运行并匹配我的文档。 但是，如果我将查询更改为： 
 
 "term": { "state": "alabama" } 

Running into a problem which makes me think I don't fully understand index vs search time analysis in ElasticSearch 5.5.
 
Let's say I have a basic index for a person with just a name and a state. For simplicity I have set al => alabama as the only state synonym.
 
PUT people
{
  "mappings": {
    "person": {
      "properties": {
        "name": {
          "type": "text"
        },
        "state": {
          "type": "text",
          "analyzer": "us_state"
        }
      }
    }
  },
  "settings": {
    "analysis": {
      "filter": {
        "state_synonyms": {
          "type": "synonym",
          "synonyms": "al => alabama"
        }
      },
      "analyzer": {
        "us_state": {
          "filter": [
            "standard",
            "lowercase",
            "state_synonyms"
          ],
          "type": "custom",
          "tokenizer": "standard"
        }
      }
    }
  }
}
 
My understanding is that when I index a document that the state field data will be indexed as the expanded synonym form. This can be tested running:
 
GET people/_analyze
{
  "text": "al",
  "field": "state"
}
 
which returns
 
{
  "tokens": [
    {
      "token": "alabama",
      "start_offset": 0,
      "end_offset": 2,
      "type": "SYNONYM",
      "position": 0
    }
  ]
}
 
Looks good, let's index a document:
 
POST people/person
{
  "name": "dave",
  "state": "al"
}
 
And perform a search:
 
GET people/person/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "term": {
            "state": "al"
          }
        }
      ]
    }
  }
}
 
which returns nothing:
 
{
  "took": 3,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 0,
    "max_score": null,
    "hits": []
  }
}
 
I would expect the al in my search to be run through the same us_state analyzer and match my document. However, the search does work if I change my query to:
 
"term": { "state": "alabama" } 

原文：https://stackoverflow.com/questions/50614230