Kibana(安装及其简单crud)

概述

   Kibana是一个针对Elasticsearch的开源数据分析及可视化平台,用来搜索、查看交互存储在Elasticsearch索引中的数 据。使用Kibana,可以通过各种图表进行高级数据分析及展示。
    Kibana让海量数据更容易理解。它操作简单,基于浏览器的用户界面可以快速创建仪表板(dashboard)实时显示 Elasticsearch查询动态。
      设置Kibana非常简单。无需编码或者额外的基础架构,几分钟内就可以完成Kibana安装并启动Elasticsearch索引监测

安装kibana

[root@localhost ~]# tar -zxvf kibana-6.4.0-linux-x86_64.tar.gz -C /usr [root@localhost ~]# cd /usr/kibana-6.4.0-linux-x86_64/ 
[root@localhost kibana-6.4.0-linux-x86_64]# vim config/kibana.yml
# To allow connections from remote users, set this parameter to a non-loopback address. server.host: "192.168.xx.xx"
 
# The URL of the Elasticsearch instance to use for all your queries. elasticsearch.url: "http://192.168.xx.xx:9200
[root@localhost kibana-6.4.0-linux-x86_64]# bin/kibana

启动测试:http://192.168.xx.xx:5601

 查看集群信息

在Dev Tools中输入:GET /_cat/health?v 后,点击绿色运行按钮即可查看信息

信息如下:

集群状态(status)
Green(正常)

Yellow(正常,但是一些副本还没有分配)

Red(非正常)

查看集群中节点信息

GET /_cat/nodes?v

 查看集群中索引信息

 索引操作 

创建索引

PUT /lhc
"acknowledged": true, #创建成功返回true  "shards_acknowledged": true,  "index": "lhc" }

删除索引

DELETE /lhc

{  "acknowledged": true }

创建类型

PUT /lhc # 创建index(lhc)并添加类型mapping(_doc)
{ 
    "mappings": {  
        "_doc": {   
            "properties": {    
                "title":  {
                    "type": "text"
                },
                    "name":   {
                    "type": "text"
                },
                    "age":   {
                    "type": "integer"
                },
                     "created": {     
                    "type":   "date",
                         "format": "strict_date_optional_time||epoch_millis"   
                }  
            } 
        }
    }
}        

或者

POST /lhc/user # 创建index后,在指定index中添加类型mapping(user)
{ 
    "user": {   
        "properties": {    
            "id":  {
                "type": "text"
            },
                "name":   {
                "type": "text"
            },
                "age":   {
                "type": "integer"
            },
                 "created": {     
                "type":   "date",
                 "format": "strict_date_optional_time||epoch_millis"   
            }  
        } 
    }
}

 查看类型mapping

GET /lhc/_mapping/_doc # 语法:GET /索引名/_mapping/类型名
返回以下结果
{
  "lhc": {
    "mappings": {
      "_doc": {
        "properties": {
          "age": {
            "type": "integer"
          },
          "created": {
            "type": "date"
          },
          "name": {
            "type": "text"
          },
          "title": {
            "type": "text"
          }
        }
      }
    }
  }
}

新增单个文档

PUT /lhc/_doc/1 # put /索引名/类型名/i
{ #request body 
"name": "zs",  "title": "张三",  "age": 18,  "created": "2018-12-25"
}

或者

POST /lhc/_doc
{ #request body 
"name": "zs",  "title": "张三",  "age": 18,  "created": "2018-12-25"
}
--------------------------------------------------------结果
{ 
    "_index": "lhc",
     "_type": "_doc",
     "_id": "KbOj6GcBVEuCC3JSh18Y",#ES自动生成的文档的id  "_version": 1,
     "result": "created",
     "_shards": {  
        "total": 2,
          "successful": 1,
          "failed": 0
    },
     "_seq_no": 0,
     "_primary_term": 1
}

查询单个文档

GET /lhc/_doc/LcydUHIBf3H1hS9U3-_N  # 语法: GET /索引名/类型名/id
{
  "_index": "lhc",
  "_type": "_doc",
  "_id": "LcydUHIBf3H1hS9U3-_N",
  "_version": 1,
  "found": true,
  "_source": {
    "name": "zs",
    "title": "张三",
    "age": 18,
    "created": "2016-07-15T12:58:17.136+0800"
  }
}

修改单个文档:

POST /lhc/_doc/LcydUHIBf3H1hS9U3-_N
{
  "name": "ls",
  "title": "李四",
  "age": 3,
  "created": "2016-07-15T12:58:17.136+0800"
}

删除单个文档

DELETE /lhc/_doc/1   # 语法: DELETE /索引名/类型名/id
posted @ 2020-06-22 11:24  DaDa~  阅读(288)  评论(0编辑  收藏  举报