ElasticSearch实战之Kibana基本操作(三)

Kibana的基本操作

1. 索引(Index)的基本操作

PUT /dangdang/       	  	创建索引
DELETE /dangdang			删除索引
DELETE /*					删除所有索引
GET /_cat/indices?v 		查看索引信息

2. 类型(type)的基本操作

创建类型

创建/dangdang索引并创建(product)类型

PUT /dangdang             
{
  "mappings": {
    "product": {
      "properties": {
        	"title":    { "type": "text"  },
        	"name":     { "type": "text"  },
       		"age":      { "type": "integer" },
        	"created":  {
         		 "type":   "date",
          		 "format": "strict_date_optional_time||epoch_millis"
        		}
      		}
    	}
  	}
}

注意: 这种方式创建类型要求索引不能存在

Mapping Type: : text , keyword , date ,integer, long , double , boolean or ip

查看类型

GET /dangdang/_mapping/product # 语法:GET /索引名/_mapping/类型名

3. 文档(document)的基本操作

添加文档

PUT /ems/emp/1   #/索引/类型/id
{
  "name":"赵小六",
  "age":23,
  "bir":"2012-12-12",
  "content":"这是一个好一点的员工"
}

查询文档

GET /ems/emp/1  
返回结果:
{
  "_index": "ems",
  "_type": "emp",
  "_id": "1",
  "_version": 1,
  "found": true,
  "_source": {
    "name": "赵小六",
    "age": 23,
    "bir": "2012-12-12",
    "content": "这是一个好一点的员工"
  }
}

删除文档

DELETE /ems/emp/1
{
  "_index": "ems",
  "_type": "emp",
  "_id": "1",
  "_version": 2,
  "result": "deleted", #删除成功
  "_shards": {
    "total": 2,
    "successful": 1,
    "failed": 0
  },
  "_seq_no": 1,
  "_primary_term": 1
}

更新文档

1.第一种方式  更新原有的数据
    POST /dangdang/emp/1/_update
    {
      "doc":{
        "name":"xiaohei"
      }
    }
2.第二种方式  添加新的数据
    POST /ems/emp/1/_update
    {
      "doc":{
        "name":"xiaohei",
        "age":11,
        "dpet":"你好部门"
      }
    }
3.第三种方式 在原来数据基础上更新
	POST /ems/emp/1/_update
    {
      "script": "ctx._source.age += 5"
    }

ES的使用语法风格为:

REST /Index/Type/ID ------------ REST操作 /索引/类型/文档id

批量操作

1. 批量索引两个文档
    PUT /dangdang/emp/_bulk
 	{"index":{"_id":"1"}} 
  		{"name": "John Doe","age":23,"bir":"2012-12-12"}
	{"index":{"_id":"2"}}  
  		{"name": "Jane Doe","age":23,"bir":"2012-12-12"}
    
2. 更新文档同时删除文档
    POST /dangdang/emp/_bulk
		{"update":{"_id":"1"}}
			{"doc":{"name":"lisi"}}
		{"delete":{"_id":2}}
		{"index":{}}
			{"name":"xxx","age":23}