Kibana+ElasticSearch实现索引数据的增删改查

秒速五厘米 2022-05-29 05:51 410阅读 0赞

**在上一篇博客已经介绍了ElasticSearch相关开发环境的搭建,接下来着手做该环境下索引数据的简单的增删改查操作.**

**1.结构化创建索引(创建一个名称为school的结构化索引,数据类型定义好的)**

PUT school
    {
      "settings":{
        "number_of_shards": 3,   
        "number_of_replicas": 1	
      },
      "mappings":{
        "student":{
          "properties":{
            "name":{
              "type":"text"
            },
            "address":{
              "type":"keyword"
            },
            "age":{
              "type":"integer"
            },
            "date":{
              "type":"date",
              "format":"yyyy-MM-dd HH:mm:ss|| yyy-MM-dd||epoch_millis"
            }
          }
        }
      }
    }

**2.指定ID插入数据(相当于插入一条记录到一个数据库表中)**

PUT /school/student/1
    {
      "name":"杨旭",
      "address":"山东烟台",
      "age":22,
      "date":"1995-04-12"
    }

**3.系统指定ID的插入方式**

POST /school/student/
    {
      "name":"张小花",
      "address":"山东烟台",
      "age":24,
      "date":"1996-07-24"
    }

**4.索引的查询语句(简单的查询)**

**4.1 获取某个索引的某个类型的某个id的数据(以下两种方式均可)**

GET /school/student/1
    
    GET /school/student/1?_source

**4.2 查询指定ID的某些字段**

**这个语句相当于SELECT ADDRESS FROM STUDENT WHERE ID = 1**

GET /school/student/1?_source=address

**这个语句相当于SELECT NAME,ADDRESS FROM STUDENT WHERE ID = 1**

GET /school/student/1?_source=name,address

**4.3 查询当前索引school的所有数据**

GET /school/_search
    {
      "query": {
        "match_all": {
          
        }
      }
    }

**4.4 设置查询返回的索引数据数量**

GET /school/_search
    {
      "query": {
        "match_all": {
          
        }
      },
      "from": 1,
      "size": 1
    }

**4.5 按照字段内容name模糊查询相关数据**

GET /school/_search
    {
      "query": {
        "match": {
          "name": "海"
        }
      }
    }

**4.6 查询内容排序(按照时间倒序排列)**

GET /school/_search
    {
      "query": {
        "match": {
          "name": "海"
        }
      },
      "sort": [
        {
          "date": {
            "order": "desc"
          }
        }
      ]
    }

**5.索引的更新操作(相当于SQL的修改操作)**

**5.1 覆盖式修改索引文档**

**该句相当于SQL的UPDATE STUDENT SET NAME = ?,ADDRESS = ?,AGE = ?,DATE = ? WHERE ID = 1**

PUT /school/student/1
    {
      "name":"杨旭",
      "address":"山东济宁",
      "age":25,
      "date":"1995-04-12"
    }

**5.2 修改索引文档的某些字段**

**该句相当于SQL的UPDATE STUDENT SET AGE = 20 WHERE ID =1**

POST /school/student/1/_update
    {
      "doc":{
        "age":20
      }
    }

**6.索引的删除操作**

**删除操作分为3种:**

**6.1 删除整个index(库)**

DELETE school

**6.2 删除一个type(表)**