es的基本查詢

1,對那些有唱歌興趣的用戶按年齡進行分組，並求出每個組的年齡平均值，並按平均年齡的降序進行排序

GET /megacorp/employee
{
    "size" : 0,
    "query" : {
        "match":{
            "interests" :"changge"
        }
    },
    "aggs" : {
        "age_of_group":{
            "terms":{
                "field":"age",
                "order":{
                    "age_of_avg":"desc"
                }
            },
            "aggs":{
                "age_of_avg":{
                    "avg":{
                        "field":"age"
                    }
                }
            }
        }
    }
}

2,term 查詢和terms查詢

term query 會去倒排索引中尋找確切的term，它並不知道分詞器的存在，這種查詢適合keyword,numeric,date的查詢

 

GET /megacorp/employee

{
    "query" : {
        "term":{
            "interests" :"changge"
        }
    }
    
}

3,terms 查詢某個字段含有多個關鍵字的文檔

GET /megacorp/employee

{
    "query" : {
        "terms":{
            "interests" :["changge","hejiu","sport"]
        }
    }
    
}

 注意，分頁查詢是從0開始的，用的是from和size

match 查詢：先進行分詞，再查詢

GET /megacorp/employee
{

"query" : {
        "match":{
            "name" :"changge"
        }
    }
    
}

返回分數為1，則為精確查詢

 

multi_match可以匹配多個字段

GET /megacorp/employee

{ "query" : { "multi_match":{ "query" :"changge",
            "field" :["changge","sport"] } } }

 

短語匹配查詢，需要完全匹配這個短語

GET /megacorp/employee

{
    "query" : {
        "match_phrase":{
            "interests" :["changge,sport"]
        }
    }
    
}

排序，sort節點和query節點平級

GET /megacorp/employee
{
    "query" : {
        "match_all":{}
    },
    "sort" : [
        {
            "age":{
                "order":"desc"
            }
        }
     ]
    
}

范圍查詢

GET /megacorp/employee
{
    "query" : {
        "range":{
            "birthday":{
                "from":"1990-10-10",
                "to":"2020-01-12"
            }
        }
    }
    
}
是否包含邊界值，包含下界不包含上屆
{
    "query" : {
        "range":{
            "age":{
                "from":20,
                "to":26,
                "include_lower":true,
                "include_upper":false
            }
        }
    }
    
}

wildcard 查詢，是通配符查詢，*表示0個或多個，? 表示1個字符

GET /megacorp/employee
{
    "query" : {
        "wildcard":{
            "name":"zhao*"
        }
    }
    
}

{
    "query" : {
        "wildcard":{
            "name":"li?a"
        }
    }
    
}

fuzzy 實現模糊查詢，change 也能被找出來

GET /megacorp/employee
{
    "query" : {
        "fuzzy":{
            "interests":"chonge"
        }
    }
}

高亮顯示

GET /megacorp/employee
{
    "query" : {
        "match":{
            "interests":"change"
        }
    },
    "highlight" : {
        "fields":{
            "interests":{}
        }
    }
}