Elasticsearch nested嵌套类型

第一次接触es,感觉啥啥都是懵逼状态,不得不吐槽一下,出了问题网上写的那些文章真的是看不懂,要么代码不全,要么就是各种抄,根本结局不了问题,还是决定自己写一个吧,没准哪天就帮别人节省了时间.
话不多说,这里使用的版本是7.12.1,查看es版本方法:
直接在浏览器访问es端口号就行 ps:搞了一天才发现看的是2.0的api 我吐了

博主现在查看的api是7.14版本的(直接看最新的了)
为什么要用nested嵌套结构呢?具体可以看官网的解释,这里就不在多做赘述了:
https://www.elastic.co/guide/en/elasticsearch/reference/7.14/nested.html

简单来说就是需要一个多层嵌套的对象结构,例如:
公司下面有部门员工,员工下面有所属项目,都是一对多的关系,后面的代码也是使用的这个逻辑(可能有点不太合理,但是大致是这么个意思)

公司:
____部门名称
____部门员工:
________id
________姓名
________年龄
________所属项目:
____________项目名称

直接上代码

1.声明结构

PUT  localhost:9200/test_mapping7{"mappings": {"properties":{"group": {"type": "text"},"user":{"type": "nested",  //嵌套类型type应为nested"properties":{"id": {"type": "keyword"},"name":{"type": "text"},"age":{ "type": "short"},"project":{"type": "nested","properties":{"name": {"type": "text"}}}}}}      }
}

nested类型结构的属性应用properties表示,以下是官网api

2.声明成功后我们可以查询一下声明的结构

GET localhost:9200/test_mapping7?pretty  //pretty是输出json格式化后的数据{                                                "test_mapping7" : {                            "aliases" : { },                             "mappings" : {                               "properties" : {                           "group" : {                              "type" : "text"                        },                                       "user" : {                               "type" : "nested",                     "properties" : {                       "age" : {                            "type" : "short"                   },                                   "id" : {                             "type" : "keyword"                 },                                   "name" : {                           "type" : "text"                    },                                   "project" : {                        "type" : "nested",                 "properties" : {                   "name" : {                       "type" : "text"                }                                }                                  }                                    }                                      }                                        }                                          },                                           "settings" : {                               "index" : {                                "routing" : {                            "allocation" : {                       "include" : {                        "_tier_preference" : "data_content"}                                    }                                      },                                       "number_of_shards" : "1",                "provided_name" : "test_mapping7",       "creation_date" : "1630464120543",       "number_of_replicas" : "1",              "uuid" : "stKB9OdESUmnqJwBKOK-pQ",       "version" : {                            "created" : "7120199"                  }                                        }                                          }                                            }
}

3.插入数据
重点: 插入数据这块必须在index名后面加上/_doc/ , 本身这里应该是设置type的字段,但是在实际插入数据时,用自定义的stu,class等都会报错,难道只能插入doc类型? ps:正常猜想是在mapping中没有设置最外层的type,但是实际操作时声明type会报错

POST localhost:9200/test_mapping7/_doc/1 {"group": "研发","user":[{"id": 1,"name": "zhangsan","age": 12,"project":[{"name": "pro1"}]},{"id": 2,"name": "lisi","age": 15,"project":[{"name": "pro12"}]}]
}result:{"_index": "test_mapping7","_type": "_doc","_id": "2","_version": 1,"result": "created","_shards": {"total": 1,"successful": 1,"failed": 0},"_seq_no": 1,"_primary_term": 1
}

再插入一条

POST localhost:9200/test_mapping7/_doc/2{"group": "市场","user":[{"id": 3,"name": "xiaomei","age": 21,"project":[{"name": "pro3"}]},{"id": 4,"name": "xiaoxue","age": 25,"project":[{"name": "pro4"}]}]
}result:{"_index": "test_mapping7","_type": "_doc","_id": "2","_version": 1,"result": "created","_shards": {"total": 2,"successful": 1,"failed": 0},"_seq_no": 1,"_primary_term": 1
}

查询一下插入的数据

GET localhost:9200/test_mapping7/_search?pretty{                                         "took" : 3,                             "timed_out" : false,                    "_shards" : {                           "total" : 1,                          "successful" : 1,                     "skipped" : 0,                        "failed" : 0                          },                                      "hits" : {                              "total" : {                           "value" : 2,                        "relation" : "eq"                   },                                    "max_score" : 1.0,                    "hits" : [                            {                                   "_index" : "test_mapping7",       "_type" : "_doc",                 "_id" : "1",                      "_score" : 1.0,                   "_source" : {                     "group" : "研发",                 "user" : [                      {                             "id" : 1,                   "name" : "zhangsan",        "age" : 12,                 "project" : [               {                         "name" : "pro1"         }                         ]                           },                            {                             "id" : 2,                   "name" : "lisi",            "age" : 14,                 "project" : [               {                         "name" : "pro12"        }                         ]                           }                             ]                               }                                 },                                  {                                   "_index" : "test_mapping7",       "_type" : "_doc",                 "_id" : "2",                      "_score" : 1.0,                   "_source" : {                     "group" : "市场",                 "user" : [                      {                             "id" : 3,                   "name" : "xiaomei",         "age" : 21,                 "project" : [               {                         "name" : "pro3"         }                         ]                           },                            {                             "id" : 4,                   "name" : "xiaoxue",         "age" : 25,                 "project" : [               {                         "name" : "pro4"         }                         ]                           }                             ]                               }                                 }                                   ]                                     }
}

4.查询

首先查询一下name=zhangsan的index

GET localhost:9200/test_mapping7/_search{"query": {"nested":{"path": "user","query": {"bool":{"must": [{"match": {"user.name":"zhangsan"}}]}}}}
}result:{"took": 2,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 1,"relation": "eq"},"max_score": 1.2039728,"hits": [{"_index": "test_mapping7","_type": "_doc","_id": "1","_score": 1.2039728,"_source": {"group": "研发","user": [{"id": 1,"name": "zhangsan","age": 12,"project": [{"name": "pro1"}]},{"id": 2,"name": "lisi","age": 14,"project": [{"name": "pro12"}]}]}}]}
}

可以看到直接返回了整个doc1对象,符合预期结果

那么我们如果查询条件是project.name=pro4呢?划重点
nested.path必须是从外层开始写: user.project,不可以直接写project
match条件也要从最外层开始写 user.project.name=pro4,不可以直接写project.name=pro4

POST localhost:9200/test_mapping7/_search{"query": {"nested":{"path": "user.project","query": {"bool":{"must": [{"match": {"user.project.name":"pro4"}}]}}}}
}result:{"took": 2,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 1,"relation": "eq"},"max_score": 1.2039728,"hits": [{"_index": "test_mapping7","_type": "_doc","_id": "2","_score": 1.2039728,"_source": {"group": "市场","user": [{"id": 3,"name": "xiaomei","age": 21,"project": [{"name": "pro3"}]},{"id": 4,"name": "xiaoxue","age": 25,"project": [{"name": "pro4"}]}]}}]}
}

成功命中
未完待续,欢迎补充指正

Elasticsearch nested嵌套类型相关推荐

【Elasticsearch】 es nested 嵌套类型详解
1.概述数据类型,大合集参考 [Elasticsearch]Elasticsearch的数据类型 (text.keyword.date.object.geo等) 2 嵌套类型 - nested 嵌套 ...
嵌套查询和连接查询的效率_Elasticsearch 7.x Nested 嵌套类型查询 | ES 干货
一.什么是 ES Nested 嵌套 Elasticsearch 有很多数据类型,大致如下: 基本数据类型: string 类型.ES 7.x 中,string 类型会升级为:text 和 keywo ...
es内嵌文档查询_Elasticsearch 7.x Nested 嵌套类型查询 | ES 干货
一.什么是 ES Nested 嵌套 Elasticsearch 有很多数据类型,大致如下: 基本数据类型: string 类型.ES 7.x 中,string 类型会升级为:text 和 keywo ...
转:elasticsearch nested嵌套查询
转自: [弄nèng - Elasticsearch]DSL入门篇(七)-- Nested类型查询,聚合_司马缸砸缸了-CSDN博客文章目录1. nested query2. nested 对象聚合项 ...
（五）ElasticSearch 6.1.1数据类型
1.elasticsearch的数据类型 1.1.核心数据类型 1.1.1.字符串类型(string不再支持) 当一个字段需要用于全文搜索(会被分词), 比如产品名称.产品描述信息, 就应该使用tex ...
elasticsearch 学习须知
人工智能.大数据快速发展的今天,对于 TB 甚至 PB 级大数据的快速检索已然成为刚需.Elasticsearch 作为开源领域的后起之秀,从2010年至今得到飞跃式的发展. Elasticsearc ...
elasticsearch 数据类型
参考 aggregate_metric_double:预聚合指标值字段有4个子字段 min, max, sum, value_count来分别存储double数值,专做聚合使用 metrics: [ ...
elasticsearch-rest-high-level-client操作elasticsearch
文章目录摘要依赖 yml配置连接配置索引结构普通常见非嵌套结构的CRUD 新增更新(根据id更新) 更新(高级,根据搜索条件更新,采用无痛painless脚本) 删除删除(根据搜索条件删 ...
Elasticsearch中字段类型(Field Type)详解
ElasticSearch 7.7 字段类型(Field datatype)详解字符串, object, 数值, 日期, 数组, 0x00 字符串: text, keyword 5.0以后,stri ...
Elasticsearch 5.4 Mapping详解
为什么80%的码农都做不了架构师?>>> 前言一Field datatype字段数据类型 1string类型 2 text类型 3 keyword类型 4 数字类型 5 Ob ...

Elasticsearch nested嵌套类型

Elasticsearch nested嵌套类型相关推荐

最新文章

热门文章