Window Function又称做窗口函数,分析函数。
在Oracle里面就有这样的分析函数,用于数据统计分析之用。
在Hive里面,数据分析也提出相似的需求。
使用方法如下:
select t.*, row_number() over(partition by area sort by updated_date ) as rno
from table_name t
over()表示当前查询的结果集对象,括号里面的语句则表示对这个结果集进行处理。
在Hive里面,可以把这一部分独立抽出来做声明。如:
select p_mfgr,p_name, p_size,
sum(p_retailprice) over w1 as s,
min(p_retailprice) over w1 as mi,
max(p_retailprice) over w1 as ma,
avg(p_retailprice) over w1 as ag
from part
window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following);
其中的window w1 则是抽出声明的窗口部分。
假如一个SQL如下:
select t.*, sum(pay) over(distribute by area sort by updated_date ) as rno
from table_name t;
是根据地区来汇总,那么我要取所有地区的金额呢?
select t.*,
sum(pay) over(sort by updated_date
rows between unbounded preceding and unbounded following) as rno
from table_name t;
rows between ... preceding and ... following。从字面上猜测它的意思是:在XXX之前和XXX之后的所有记录
如果想计算当月累计的费用呢?
比如说,3月份的值=1月+2月+3月的费用。
如下:
select t.*,
sum(pay) over(sort by month
rows between unbounded preceding and unbounded following) as current_sum_sales
from table_name t;
除了rows关键字,还有range关键字指定范围
select t.*,
sum(pay) over(sort by month
range between 1 preceding and 1 following) as closeset_3_month_sales
from table_name t;
这里计算出来的值就是,当月+上一个月+下一个月的值。
如果在一条Hive SQL涉及到多个窗口函数的引用呢?
select p_mfgr, p_name, p_size,
sum(p_size) over w1 as s1,
sum(p_size) over w2 as s2,
sum(p_size) over w3 as s3
from part
window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following),
w2 as w3,
w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row);