ElasticSearch use tool Kibana

ElasticSearch search tool Kibana use:
 1. Visit the Web site: ip + port: 
    for example Kibana installed on the virtual machine configuration: HTTP: // 192.168.211.132:5601 
2 Enter the DSL Tools statement Dev:. 

# Search index 
GET / _cat / indices? v 
# create the index usr: 
PUT / usr 
# delete the index usr: 
dELETE / usr 

# create a mapping UserInfo: 
PUT / usr / UserInfo / _mapping 
{
   "the Properties" : {
     "name" : {
       "of the type": "text" ,
       "Analyzer": "ik_smart" ,
       "search_analyzer": "ik_smart" ,
       "store": false
    },
    "city":{
      "type": "text",
      "analyzer": "ik_smart",
      "search_analyzer": "ik_smart",
      "store": false
    },
    "age":{
      "type": "long",
      "store": false
    },
    "description":{
      "type": "text",
      "analyzer": "ik_smart",
      "search_analyzer": "ik_smart",
      "store":
{/ usr / UserInfo /. 1
the PUT=. 1
# new document data ID
}
  }
    }to false

  "name": "John Doe" ,
   "Age": 22 ,
   "City": "Shenzhen" ,
   "the Description": "John Doe from Wuhan!" 
} 


# new document data the above mentioned id = 2 
PUT / usr / UserInfo / 2 
{
   "name": "Wang Wu" ,
   "Age": 35 ,
   "City": "Shenzhen" ,
   "the Description": "! Wang Wu, who lives in Shenzhen" 
} 

# new document data the above mentioned id = 3 
PUT / usr / UserInfo / 3 
{
   "name": "Joe Smith" ,
   "Age": 19 ,
   "City": "Shenzhen" ,
   "the Description": "Working in Shenzhen, from Wuhan, Hubei " 
} 

# new document data the above mentioned id = 4 
PUT / usr / UserInfo / 4 
{
   " name ":" Chi Master. ",
   "Age": 66 ,
   "City": "Wuhan" ,
   "the Description": "! Studying in Wuhan, home in Wuhan" 
} 

# new document data the above mentioned id = 5 
PUT / usr / UserInfo / 5 
{
   "name": "hero" ,
   "Age": 77 ,
   "City": "Guangzhou" ,
   "the Description": "Zhao Zilong from Shenzhen Baoan, but work in Guangzhou!" ,
   "address": "Maoming City in Guangdong Province" 
} 

# new document data ID =. 6 
the PUT / usr / UserInfo /. 6 
{
   "name": "Zhao Yi" ,
   "Age": 55 ,
   "City": "Canton" ,
  "description": "Zhao Yi from Guangzhou Baiyun District, engaged in e-commerce for eight years!" 
} 

# new document data the above mentioned id = 7 
PUT / usr / UserInfo / 7
{
   "Name": "Zhao Haha" ,
   "Age": 57 ,
   "City": "Wuhan" ,
   "the Description": "! Haha Wuhan Zhao, working in Shenzhen for half a year, a monthly salary of 7500" 
} 

# delete a document 
DELETE usr / UserInfo /. 7 

# query data 

# Search 
the GET / usr / _search 
{
   "query" : {
     "MATCH_ALL" : { 
      
    } 
  } 
} 

# The ID query 
the GET / usr / UserInfo / 2 

# query sort 
the GET / usr / _search 
{
   "Query" : {
     "MATCH_ALL" : { 
      
    } 
    
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ]
}


#分页实现
GET /usr/_search
{
  "query":{
    "match_all": {}
  },
  "sort":{
    "age":{
      "order":"desc"
    }
  },
  "from": 0,
  "size": 3
}

#过滤查询-term
GET _search
{
  "query":{
    "term":{
      "city":"武汉"
{
the GET _search-
# Filtering query
}
  }
    }
Terms Term allows multiple
   "Query" : {
     "Terms" : {
       "City" : 
        [
           "Wuhan" ,
           "Guangzhou" 
        ] 
    } 
  } 
} 

# Filter - Range Filter range 
#gt represents > gte represents => 
#lt represents <LTE represents < = 
the GET _search 
{
   "Query" : {
     "Range" : {
       "Age" : {
         "GTE": 30 ,
         "LTE":57 
      } 
    } 
  } 
} 

# search filter exists: refers to a domain retrieval data includes 
the GET _search 
{
   "Query": {
      "EXISTS": {
       "Field": "address" 
    } 
  } 
} 

# prefix matching prefix 
the GET _search 
{
   "Query" : {
     "prefix" : {
       "name" : {
         "value": "Zhao" 
      } 
    } 
  } 
} 


# Search Filter BOOL 
#must: exact match multiple query conditions equivalent to and. 
#must_not: Instead of matching multiple queries conditions, equivalent to not. 
#should: At least one query matching, equivalent to or. 
_Search the GET 
{
   "Query" : {
     "BOOL" : {
       "MUST" : [ 
        {
           "Term" :
            "value": "Shenzhen"
            } 
          } 
        }, 
        {
           "Range" : {
             "Age" : {
               "GTE": 20 is ,
               "LTE": 99 
            } 
          } 
        } 
      ] 
    } 
  } 
} 


# string matching 
the GET _search 
{
   "Query" : {
     "match" : {
       "description": "Wuhan" 
    } 
  } 
} 


# plurality of search field matches 
the GET _search 
{
   "Query" : {
     "multi_match" : {
       "query": "深圳",
      "fields": [
        "city",
        "description"
      ]
    }
  }
}

# 高亮查询
GET user/_search
{
  "query": {
    "match": {
      "description": "武汉"
    }
  },
  "highlight": {
    "pre_tags": "<span style='color:red'>",
    "post_tags": "</span>", 
    "fields": {
      "description": {}
    }
  }
}