美文网首页ElasticSearch
ElasticSearch第6节 Kibana 的Dev Too

ElasticSearch第6节 Kibana 的Dev Too

作者: 小超_8b2f | 来源:发表于2019-06-14 13:04 被阅读0次
    image.png

    http://<ip>:<port>/<索引>/<类型>/<文档ID>
    \color{red}{ //从ES 7.0.0开始,移除Type(类型)这个概念}
    http://<ip>:<port>/<索引>/_doc/<文档ID>
    \color{blue}{ // Type 字段那里变为固定值:} _doc

    1. 建立索引并指定配置参数

    ####1. 建立索引并执行
    put /lib/
    {
      "settings":{
        "index":{
          "number_of_shards":5,  #指定当前索引的分片数
          "number_of_replicas":0  #指定当前索引的备份数
        }
      }
    }
    #结果
    {
      "acknowledged" : true,
      "shards_acknowledged" : true,
      "index" : "lib"
    }
    

    2. 建立索引,配置默认

    put lib3
    #结果:
    {
      "acknowledged" : true,
      "shards_acknowledged" : true,
      "index" : "lib3"
    }
    
    # 查看索引的配置
    GET lib/_settings
    GET lib2/_settings
    GET _all/_settings
    

    3. PUT创建一个文档 (指定id)

    # lib 是索引,user是类型,1是id
    PUT /lib/user/1
    {
      "first_name":"xiao",
      "second_name":"chao",
      "age":22,
      "about":"I like to build",
      "likes":["football","basketball"]
    }
    
    #获取全文档信息
    GET /lib/user/1
    #! Deprecation: [types removal] Specifying types in document 
    #   get requests is deprecated, use the /{index}/_doc/{id} endpoint instead.
    {
      "_index" : "lib",
      "_type" : "user",
      "_id" : "1",
      "_version" : 1,
      "_seq_no" : 0,
      "_primary_term" : 1,
      "found" : true,
      "_source" : {
        "first_name" : "xiao",
        "second_name" : "chao",
        "age" : 22,
        "about" : "I like to build",
        "likes" : [
          "football",
          "basketball"
        ]
      }
    }
    
    #获取文档指定字段
    GET /lib/user/1?_source=age,about
    

    4. POST生成文档(自动生成id)

    #下面操作报错,新版本已经废除了type概念
    ! Deprecation: [types removal] Specifying types in document index requests is 
    deprecated, use the typeless endpoints 
    instead (/{index}/_doc/{id}, /{index}/_doc, or /{index}/_create/{id}).
    
    POST /lib/user/
    {
      "first_name":"haha",
      "second_name":"xixi",
      "age":23,
      "about":"I like to drink",
      "likes":["hello","world"]
    }
    
    #获取文档
    GET /lib/user/rrZYVGsBNohMOFFbhAxR
    
    5.PUT 覆盖更新
    PUT /lib/user/1
    {
      "first_name":"xiao",
      "second_name":"chao",
      "age":32,
      "about":"I like to build",
      "likes":["football","basketball"]
    }
    
    6. 专项属性更新
    POST /lib/user/_update/1
    {
      "doc": {
        "age":5,
        "about":"I like to build",
        "likes":["football"]
      }
    }
    
    7. 删除
    #删除文档
    DELETE /lib/user/1 
    #删除索引
    DELETE /lib
    

    ES7.0.0 版本请求


    不再有type,_doc是写死的

    PUT /lib2/_doc/1     #增
    DELETE /lib2/_doc/1  #删
    POST lib2/_doc/1     #改
    GET /lib2/_doc/1     #查
    

    使用es提供的Multi Get API批量获取

    通过es提供的Multi Get API可以通过:索引名、类型名、文档id一次得到一个文档集合。文档可以来自同一索引库,也可以来自不同的索引库。

    方式一:使用curl命令:

    $ curl  -H "Content-Type: application/json" -XPOST http://192.168.249.104:9200/_mget -d '{
     "docs":[
        {
          "_index":"lib1",
          "_id":"2"
        },
        {
          "_index":"lib2",
          "_id":"1"
        }
      ]
    }'
    

    方式二:kibana的Dev Tools GET方式

    http://192.168.249.104:5601

    指定索引_index 和 _id

    GET /_mget
    {
      "docs":[
        {
          "_index":"lib1",
          "_id":"2"
        },
        {
          "_index":"lib2",
          "_id":"1"
        },
        {
          "_index":"lib",
          "_type":"user",   #注意:新版本中不再有type了。下面结果中没有体现这个
          "_id":"1"
        }
      ]
    }
    
    {
      "docs" : [
        {
          "_index" : "lib1",
          "_type" : "_doc",
          "_id" : "2",
          "_version" : 1,
          "_seq_no" : 0,
          "_primary_term" : 1,
          "found" : true,
          "_source" : {
            "name" : "guchao",
            "age" : 22
          }
        },
        {
          "_index" : "lib2",
          "_type" : "_doc",
          "_id" : "1",
          "_version" : 3,
          "_seq_no" : 7,
          "_primary_term" : 1,
          "found" : true,
          "_source" : {
            "doc" : {
              "age" : 5,
              "about" : "I like to build",
              "likes" : [
                "football"
              ]
            }
          }
        }
      ]
    }
    
    批量获取指定字段:_source
    GET /_mget
    {
      "docs":[
        {
          "_index":"lib1",
          "_id":"2",
          "_source":["age"]
        },
        {
          "_index":"lib2",
          "_id":"1",
          "_source":["doc"]
        },
        {
          "_index":"lib2",
          "_id":"2"
        },
        {
          "_index":"lib",
          "_type":"user",
          "_id":"1",
          "_source":["first_name"]
        }
      ]
    }
    
    相同索引的简化查询参数,将索引赋值到路径上
    GET lib2/_mget
    {
      "docs":[
        {"_id":"1", "_source":["doc"] },
        {"_id":"2"}
      ]
    }
    
    按文档id批量查询
    GET lib2/_mget
    {
      "ids":["1","2"]
    }
    

    小伦超正经_ElasticSearch 7.0.0博客

    相关文章

      网友评论

        本文标题:ElasticSearch第6节 Kibana 的Dev Too

        本文链接:https://www.haomeiwen.com/subject/bnvufctx.html