Es common curl finishing

Server es Simple addition, deletion, modification and query still prefer to send directly curl, So simply sort it out
 

Often tread on small pits

1、url There are characters to escape in the

If url Medium id There are special characters in , Need to escape , Such as #, Need to change to %23, if id by wangergou#24, be url Should be converted to

http://127.0.0.1:9200/user/user/wangergou%2324

2、curl Of body Partial quotation marks

Note the single and double quotation marks , Double quotation marks inside single quotation marks do not need to be escaped , The double quotation marks inside the double quotation marks need to be escaped

-d "{
    \"query\": {
    \"term\": {
    \"name\": \"zhangsan\"}}}"
 perhaps 
-d '{"query": {"term": {"name": "zhangsan"}}}'

 

One 、 Inquire about

1、 View all indexes

# v  Show details ,pretty  With json Form show 

curl -i -XGET http://localhost:9200/_cat/indices?v

curl -i -XGET http://localhost:9200/_cat/indices?pretty

2、 Query the specified document

#  Inquire about user The index contains zhang Documents ( Fuzzy )
curl -i -XGET http://localhost:9200/user/_search?q=zhang

#  Inquire about user The index contains name yes zhangsan Documents ( accurate )
curl -X POST  http://localhost:9200/user/_search -d "{
    \"query\": {
    \"term\": {
    \"name\": \"zhangsan\"}}}" --header "Content-Type: application/json" 

Less commonly used complex queries are left behind

3、 View multiple records

#  By default, only return 10 strip , Add parameters to view 1-50 strip 
curl -XPOST http://localhost:9200/user/_search?pretty -d "{
    \"from\": 0, \"size\": 50,\"query\":{
    \"match_all\":{}}}" --header "Content-Type: application/json"

 

Two 、 increase

1、 Add index

curl -XPUT 'http://192.168.80.200:9200/address

2、 Add a record

# towards user Add an entry to the index id by wangergou The record of 

curl -X PUT http://127.0.0.1:9200/user/user/wangergou -d'{"name":"wangergou","age":24}' --header "Content-Type: application/json"

 

3、 ... and 、 Delete

1、 Delete index

# Delete index user
curl -i -XDELETE http://127.0.0.1:9200/user

# Delete multiple indexes 
curl -i -XDELETE http://127.0.0.1:9200/user,history

# Wildcard delete index 
curl -i -XDELETE http://localhost:9200/test*

# Delete all indexes 
curl -i -XDELETE http://127.0.0.1:9200/_all

2、 Delete the specified record

# Delete user Index name yes zhangsan The record of 

curl -X POST http://127.0.0.1:9200/user/user/_delete_by_query  -d'{"query":{"match":{"name" :"zhanagsan"}}}' --header "Content-Type: application/json"

 

Four 、 to update

1、 Update the specified document

#  Update the... Of the specified document zhangsan Of age Field is 26
curl -XPOST http://127.0.0.1:9200/user/user/zhangsan/_update -d '{"doc" : {"age":26}}' --header "Content-Type: application/json"

 

5、 ... and 、 View the cluster status

1、 View cluster health status

curl -i -XGET http://localhost:9200/_cat/health?v

2、 Query cluster statistics

curl -i -XGET http:/localhost:9200/_cluster/stats

 

6、 ... and 、 Complex queries

1、 Fuzzy query

The following is curl Of body part

# all firstname Field is Virginia perhaps Ayala All documents of 
{
    
  "query": {
    
    "match": {
     #  General search 
      "firstname": {
    
        "query": "virginia jones", #  Search keywords 
        "operator": "or"           #  operation : or and
      }
    }
  }
}

# all address Field inclusion  Virginia Ayala All documents of 
{
    
  "query": {
    
    "match_phrase": {
     #  Phrase search 
      "address": "Baycliff Terrace"
    }
  }
}

# Field address,firstanme,lastname contains  Baycliff  perhaps  Terrace  All documents of 
{
    
  "query": {
    
    "multi_match": {
     #  Multi field phrase search 
      "query": "Baycliff Terrace", 
      "fields": ["address", "firstname", "lastname"]
    }
  }
}

match When matching, word segmentation will be performed on the searched keywords , Then press word segmentation to find , and term Will directly search for keywords . Generally, when fuzzy search , multi-purpose match, For exact search, you can use term

2、 Precise query

{
    
    'query':{
    
        'terms':{
    
            'tag':["search",'nosql','hello']
        }
    }
}

3、bool Inquire about

bool The query contains four clauses ,must,filter,should,must_not

{
    
    'query':{
    
        'bool':{
    
            'must':[{
    
                'term':{
    
                    '_type':{
    
                        'value':'age'
                    }
                }
             },{
    
                 'term':{
    
                     'account_grade':{
    
                         'value':'23'
                     }
                 }
             }
           ]      
        }
    }
    
}

{
    
	"bool":{
    
            "must":{
    
                "term":{
    "user":"lucy"}
            },
            "filter":{
    
                "term":{
    "tag":"teach"}	
            },
            "should":[
              	{
    "term":{
    "tag":"wow"}},
                {
    "term":{
    "tag":"elasticsearch"}}
            ],
           	"mininum_should_match":1,
           	"boost":1.0  		            
        }
}

4、filter Inquire about

query and filter The difference between ：query When querying , Will first compare the query conditions , And then calculate the score , Finally, the document result is returned ; and filter First, judge whether the query conditions are met , If not, the query results will be cached （ Record that the document does not satisfy the result ）, If you are satisfied , Just cache the results directly

filter Come on ： Caching results , Avoid calculating points

{
    
    "query": {
    
      "bool": {
    
        "must": [
          {
    "match_all": {
    }}
        ],
        "filter": {
    
          "range": {
    
            "create_admin_id": {
    
              "gte": 10,
              "lte": 20
            }
          }
        }
      }
    }
}

5、range Inquire about

{
    
	'query':{
    
    	'range':{
    
            'age':{
    
                'gte':'30',
                'lte':'20'
            }
    	}
	}
}

6、 Wildcard query

{
    
    'query':{
    
        'wildcard':{
    
            'title':'cr?me'
        }
    }    
}

7、 Regular expression queries

{
    
    'query':{
    
        'regex':{
    
            'title':{
    
                'value':'cr.m[ae]',
                'boost':10.0
            }
        }
    }
}

8、 Prefix query

{
    
    'query':{
    
        'match_phrase_prefix':{
    
            'title':{
    
                'query':'crime punish',
                'slop':1
            }
        }
    }
}

If there is a mistake , Please point out , thank ~