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elasticSearch为索引指定默认分析器

发布时间：2021-09-10 23:10:44编辑：雪饮阅读（）

 在elasticSearch中索引的分析器一般默认的是standard分析器。

那么这个分析器也是可以被修改的。
http://localhost:9200/my-index-000001 put
请求正文：
{
  "settings": {
    "analysis": {
      "analyzer": {
        "default": {
          "type": "simple"
        }
      }
    }
  }
}
响应正文：
{
    "acknowledged": true,
    "shards_acknowledged": true,
    "index": "my-index-000001"
}
可以看到这里将索引的默认分析器配置为simple分析器了。
那么我们知道simple分析器是拆分为所有术语都是小写的。
那么有如下情况，就是说我先建立一个测试数据：
http://localhost:9200/my-index-000001/_doc/4 post
请求正文：
{
   "title":"quick brown fox BOX", "description":"ICSE", "street":"West End",
   "state":"UP", "zip":"250002", "location":[28.9926174, 77.692485], "fees":3500,
   "tags":["fully computerized"], "rating":"4.5"
}
响应正文：
{
    "_index": "my-index-000001",
    "_type": "_doc",
    "_id": "4",
    "_version": 2,
    "result": "updated",
    "_shards": {
        "total": 2,
        "successful": 2,
        "failed": 0
    },
    "_seq_no": 1,
    "_primary_term": 1
}
这里建立的测试数据中title中包含大写的”BOX”，那么此时我用小写的box进行match查询
http://localhost:9200/my-index-000001/_search post
请求正文：
{
  "query": {
    "match": {
      "title": {
        "query": "box"
      }
    }
  }
}
响应正文：
{
    "took": 3,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 1,
            "relation": "eq"
        },
        "max_score": 0.6548753,
        "hits": [
            {
                "_index": "my-index-000001",
                "_type": "_doc",
                "_id": "4",
                "_score": 0.6548753,
                "_source": {
                    "title": "quick brown fox BOX",
                    "description": "ICSE",
                    "street": "West End",
                    "state": "UP",
                    "zip": "250002",
                    "location": [
                        28.9926174,
                        77.692485
                    ],
                    "fees": 3500,
                    "tags": [
                        "fully computerized"
                    ],
                    "rating": "4.5"
                }
            }
        ]
    }
}
可见这里是能查询到的。那么这里查询的字串换成BOX：
http://localhost:9200/my-index-000001/_search post
请求正文：
{
  "query": {
    "match": {
      "title": {
        "query": "BOX"
      }
    }
  }
}
响应正文：
{
    "took": 4,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 1,
            "relation": "eq"
        },
        "max_score": 0.2876821,
        "hits": [
            {
                "_index": "my-index-000001",
                "_type": "_doc",
                "_id": "4",
                "_score": 0.2876821,
                "_source": {
                    "title": "quick brown fox BOX",
                    "description": "ICSE",
                    "street": "West End",
                    "state": "UP",
                    "zip": "250002",
                    "location": [
                        28.9926174,
                        77.692485
                    ],
                    "fees": 3500,
                    "tags": [
                        "fully computerized"
                    ],
                    "rating": "4.5"
                }
            }
        ]
    }
}
同样也是能查到的，那么就我个人理解这里指定默认分析器，是同时指定了字段的默认分析器和search查询的默认分析器的。