elasticsearch使用kibana实现基本的增删改查操作

朴灿烈づ我的快乐病毒、 2023-06-29 05:54 11阅读 0赞

在安装kibana（安装过程详见：[https://blog.csdn.net/yanyf2016/article/details/103925273][https_blog.csdn.net_yanyf2016_article_details_103925273]）之后，打开找到Dev Tools

#创建索引
    PUT /lib/
    {
      "settings": {
        "index":{
          "number_of_shards":5,
          "number_of_replicas":0
        }
      }
    }
    
    PUT lib2
    #查看索引配置
    GET /lib/_settings 
    
    GET /lib2/_settings 
    
    GET _all/_settings
    #创建索引之后就可以在索引之下添加文档
    #指定id用put
    PUT /lib/user/1
    {
      "first_name":"jame",
      "last_name":"smith",
      "age":33,
      "about": "I like to collent rock albums",
      "interests":["music"]
    }
    #不指定id用post,id由elasticsearch生成
    POST /lib/user/
    {
      "first_name":"jame",
      "last_name":"smith",
      "age":33,
      "about": "I like to collent rock albums",
      "interests":["music"]
    }
    #查询文档所有信息
    GET /lib/user/1
    GET /lib/user/_oVuj28Bo8RJqkNDiyCj
    #查询文档部分信息
    GET /lib/user/1?_source=age,about
    #覆盖方式更新
    PUT /lib/user/1
    {
      "first_name":"jame",
      "last_name":"tom",
      "age":36,
      "about": "I like to collent rock albums",
      "interests":["snook"]
    }
    
    #直接更新
    POST /lib/user/1/_update
    {
      "doc":{
        "age":22
      }
    }
    
    #删除文档
    DELETE /lib/user/1
    #删除索引
    DELETE lib2

#批量获取文档全部信息
    GET /_mget
    {
      "docs":[
        {
          "_index":"lib",
          "_type":"user",
          "_id":1
        },
        {
          "_index":"lib",
          "_type":"user",
          "_id":2
        },
        {
          "_index":"lib",
          "_type":"user",
          "_id":3
        }
      ]
    }
    #批量获取文档指定信息
    GET /_mget
    {
      "docs":[
        {
          "_index":"lib",
          "_type":"user",
          "_id":1,
          "_source":"interests"
        },
        {
          "_index":"lib",
          "_type":"user",
          "_id":2,
           "_source":["age","interests"]
        }
      ]
    }
    #获取相同索引相同类型下的文档
    GET /lib/user/_mget
    {
      "docs":[
        {
          "_id":1
        },
        {
          "_type":"user",
          "_id":2
        }
      ]
    }
    
    #更简单的写法
    GET /lib/user/_mget
    {
      "ids":["1","2"]
    }

[https_blog.csdn.net_yanyf2016_article_details_103925273]: https://blog.csdn.net/yanyf2016/article/details/103925273