es的基本查询

1,对那些有唱歌兴趣的用户按年龄进行分组，并求出每个组的年龄平均值，并按平均年龄的降序进行排序

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 查询和terms查询

term query 会去倒排索引中寻找确切的term，它并不知道分词器的存在，这种查询适合keyword,numeric,date的查询

GET /megacorp/employee

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

3,terms 查询某个字段含有多个关键字的文档

GET /megacorp/employee

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

 注意，分页查询是从0开始的，用的是from和size

match 查询：先进行分词，再查询

GET /megacorp/employee
{

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

返回分数为1，则为精确查询

multi_match可以匹配多个字段

GET /megacorp/employee

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

短语匹配查询，需要完全匹配这个短语

GET /megacorp/employee

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

排序，sort节点和query节点平级

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

范围查询

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

wildcard 查询，是通配符查询，*表示0个或多个，? 表示1个字符

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

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

fuzzy 实现模糊查询，change 也能被找出来

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

高亮显示

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