常用mysql语句转elasticsearch查询语句

转载：https://blog.csdn.net/zfy1355/article/details/82968118

1. 多个查询条件 bool(must、should、must_not)

select * from index_person where name = 'jeck' or sex = 'male' order by age,sex
{
    "query":{
        "bool":{
            "should":{
                {"match":{"name": "jeck"}},
                {"match": {"sex": "male"}},
            }
        }       
    },
    "sort":[{"age":{"order":"asc"},
            {"sex":{"order":"desc"}}]
}

2. like查询 wildcard

select * from index_person where name like '%jeck%'

{
    "query":{
        "bool":{
            "must":{
                "wildcard":{
                    "name":"*jeck*"
                }
            }
        }       
    }
}

3. 区间查询 range

select * from index_person where name = 'jeck' and sex = 'male' and (age<30 and age>40)

{
 "query": {
    "bool": {
        "must": [
            {"match":{"name": "jeck"}},
            {"match": {"sex": "male"}},
            {"range" : {"age" : {"gt" : 40,"lt":30}}}
        ]
    }
  }
}

4. 根据bucket提取汇总数，如果对汇总数继续分组，可以在group_by_sex后继续添加aggs结构

select count(sex) from index_person where age>30 group by sex;

{
  "size":10,
  "query":{
    "bool":{
      "must":[{"range" : {"age" : {"gt" : 30}}}]
    }
  },
  "aggs":{
    "group_by_sex":{
      "terms":{
        "field":"sex"
      }
    }
  }
}

5. 分组调用内置函数，(avg,sum)

select average(age) from index_person  group by sex 
{
  "size":10,
  "aggs":{
    "avg_by_age":{
      "avg":{
        "field":"sex"
      }
    }
  }
}