弹性搜索索引与搜索时间分析器

遇到了一个问题,使我觉得我不完全理解ElasticSearch5.5中的索引与搜索时间分析。

假设我有一个基本指数 name 和A state . 为了简单起见,我设置了 al => alabama 作为唯一的同义词。

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 状态 字段数据将作为扩展的同义词表单进行索引。这可以在运行时进行测试:

GET people/_analyze
{
  "text": "al",
  "field": "state"
}

又回来了

{
  "tokens": [
    {
      "token": "alabama",
      "start_offset": 0,
      "end_offset": 2,
      "type": "SYNONYM",
      "position": 0
    }
  ]
}

看起来不错,让我们为文档编制索引:

POST people/person
{
  "name": "dave",
  "state": "al"
}

并执行搜索:

GET people/person/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "term": {
            "state": "al"
          }
        }
      ]
    }
  }
}

不返回任何内容:

{
  "took": 3,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 0,
    "max_score": null,
    "hits": []
  }
}

我希望 al 在我寻找的过程中 us_state 分析并匹配我的文档。但是,如果将查询更改为:

"term": { "state": "alabama" }