es 7.x http 映射关系-CFANZ编程社区

文章目录

映射关系

创建一个索引叫 user
请求方式为put
请求url: http://127.0.0.1:9200/user
请求结果:

{
    "acknowledged": true,
    "shards_acknowledged": true,
    "index": "user"
}

对user索引进行mapping映射的处理 :
请求方式为put
请求url:
http://127.0.0.1:9200/user/_mapping
注意末尾是_mapping,
请求体:

{
   "properties": {
		"name": {
		   "type": "text", //类型为文本
		   "index": true  // 创建索引, 可以被搜索
		},
		"sex": {
		  "type": "keyword", //类型为关键词, 不会被分词
		  "index": true  // 创建索引, 可以被搜索
		},
		"tel": {
			"type": "keyword",
			"index": false  // 不创建索引, 不可以被搜索
		}
   }
}

对user索引建立三个字段进行映射, 含义已经在注释中.
执行的结果如下:

{
    "acknowledged": true
}

代表创建成功.
执行get请求, 对mapping进行查询
url :
http://127.0.0.1:9200/user/_mapping
返回结果如下

{
    "user": {
        "mappings": {
            "properties": {
                "name": {
                    "type": "text"
                },
                "sex": {
                    "type": "keyword"
                },
                "tel": {
                    "type": "keyword",
                    "index": false
                }
            }
        }
    }
}

创建文档进行测试

请求方式put
请求url:
http://127.0.0.1:9200/user/_create/1001
请求体:

{
    "name": "华为",
    "sex": "男性",
    "tel": "111"
}

请求结果 :

{
    "_index": "user",
    "_type": "_doc",
    "_id": "1001",
    "_version": 1,
    "result": "created",
    "_shards": {
        "total": 2,
        "successful": 1,
        "failed": 0
    },
    "_seq_no": 0,
    "_primary_term": 1
}

对text类型的进行查询

对name字段进行查询
请求方式get
请求url :
http://127.0.0.1:9200/user/_search
请求体:

{
    "query":{
        "match":{
            "name": "华"
        }
    }
}

结果如下

{
    "took": 403,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 1,
            "relation": "eq"
        },
        "max_score": 0.2876821,
        "hits": [
            {
                "_index": "user",
                "_type": "_doc",
                "_id": "1001",
                "_score": 0.2876821,
                "_source": {
                    "name": "华为",
                    "sex": "男性",
                    "tel": "111"
                }
            }
        ]
    }
}

成功查询到了数据.

对keyword类型的字段进行查询

请求体如下

{
    "query":{
        "match":{
            "sex": "男"
        }
    }
}

结果如下 :

{
    "took": 1,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 0,
            "relation": "eq"
        },
        "max_score": null,
        "hits": []
    }
}

可以看到没有查询到数据, 原因是因为sex 类型为keyword类型, 是关键字, 不能被分词. 只能全匹配查询
搜索男性 , 则可以搜索出来.
在这里插入图片描述

对index为false的字段进行查询

对’tel’字段进行查询 , 该字段在mapping的时候, index设置为false, 代表不建立索引, 不能被查询.

{
    "query":{
        "match":{
            "tel": "111"
        }
    }
}

结果如下, 报错说无法创建查询, 因为tel字段没有创建索引.

{
    "error": {
        "root_cause": [
            {
                "type": "query_shard_exception",
                "reason": "failed to create query: Cannot search on field [tel] since it is not indexed.",
                "index_uuid": "TcWoHdNRQ-mDNuDsolJySQ",
                "index": "user"
            }
        ],
        "type": "search_phase_execution_exception",
        "reason": "all shards failed",
        "phase": "query",
        "grouped": true,
        "failed_shards": [
            {
                "shard": 0,
                "index": "user",
                "node": "IOWrA3RrS5S-pnDHDXQ9QQ",
                "reason": {
                    "type": "query_shard_exception",
                    "reason": "failed to create query: Cannot search on field [tel] since it is not indexed.",
                    "index_uuid": "TcWoHdNRQ-mDNuDsolJySQ",
                    "index": "user",
                    "caused_by": {
                        "type": "illegal_argument_exception",
                        "reason": "Cannot search on field [tel] since it is not indexed."
                    }
                }
            }
        ]
    },
    "status": 400
}

黑发不知勤学早，白首方悔读书迟。