邯郸专业做网站多少钱,自己怎样做网站平台,知道网站前台怎样进后台,常用免费ppt模板14、开窗(开列)函数
官网链接#xff1a;Window Functions - Apache AsterixDB - Apache Software Foundation
14.1 基础使用
开窗函数格式: 开窗函数 over(partition by 分组字段名 [order by 排序字段名 asc|desc] [rows between 开窗开始 and 开窗结束])
partition b…14、开窗(开列)函数
官网链接Window Functions - Apache AsterixDB - Apache Software Foundation
14.1 基础使用
开窗函数格式: 开窗函数 over(partition by 分组字段名 [order by 排序字段名 asc|desc] [rows between 开窗开始 and 开窗结束])
partition by: 按照谁进行分组
order by: 对分组后的数据进行排序
rows between and: 限定窗口统计数据范围
开窗函数分类:第一类: 编号相关。row_number(): 123456。不管数据有没有重复单调递增往后进行编号rank(): 123446。如果遇到相同数据那么会重复编号并且会占用后续的编号dense_rank(): 123445。如果遇到相同数据那么会重复编号但是不会占用后续的编号第二类: 聚合函数。count()、sum()、avg()、max()、min()....第三类: 取值函数。ntile()、lag()、lead()、first_value()、last_value() 示例
use day09;
-- 创建表
create table pv_tb(cookieid string,datestr string,pv int
)row format delimited fields terminated by ,;
-- 导入数据
load data inpath /dir/website_pv_info.txt into table pv_tb;
-- 验证数据
select * from pv_tb;
-- 编号相关的窗口函数
selectcookieid,datestr,pv,-- row_number用的最多。单调递增的进行编号不管重复数据row_number() over(partition by cookieid order by pv asc) as rs1,-- rank单调递增的进行编号如果遇到重复数据编号是相同同时会占用后面的编号资格rank() over(partition by cookieid order by pv asc) as rs2,-- dense_rank单调递增的进行编号如果遇到重复数据编号是相同同时不会占用后面的编号资格dense_rank() over(partition by cookieid order by pv asc) as rs3
from pv_tb;
selectcookieid,datestr,pv,row_number() over(partition by cookieid order by pv asc) as rn,-- 如果有order by那么窗口的大小是慢慢逐渐放大的sum(pv) over(partition by cookieid order by pv asc) as sum_result,-- 如果没有order by那么窗口的大小直接彻底放大到最大sum(pv) over(partition by cookieid) as sum_result2
from pv_tb; 窗口的运行原理 针对sum(pv) over(partition by cookieid order by pv asc) as sum_result语句 14.2 控制数据范围
开窗函数控制范围: rows between 范围开始 and 范围结束
具体的语法含义:1- 范围开始unbounded preceding: 从窗口开始数字 preceding: 前几行数据2- 范围结束unbounded following: 到窗口结束数字 following: 后几行数据3- 特殊的既能够作为范围开始也能够作为范围结束current row: 当前行 示例
-- 控制窗口统计的数据范围
selectcookieid,datestr,pv,sum(pv) over(partition by cookieid order by pv rows between unbounded preceding and current row) as rs1,sum(pv) over(partition by cookieid order by pv rows between 2 preceding and current row) as rs2,sum(pv) over(partition by cookieid order by pv rows between unbounded preceding and unbounded following) as rs3,sum(pv) over(partition by cookieid order by pv rows between 2 preceding and unbounded following) as rs4,sum(pv) over(partition by cookieid order by pv rows between 2 preceding and 2 following) as rs5,sum(pv) over(partition by cookieid order by pv rows between current row and unbounded following) as rs6
from pv_tb; 14.3 其他开窗函数
ntile(n): 将窗口内的数据分配到n个桶里面去返回的结果是桶的编号。可以使用在数据抽样中
lag: 取窗口中上一行的数据
lead: 取窗口中下一行的数据
first_value: 取窗口中第一行的数据
last_value : 取窗口中最后一行的数据 示例
-- 其他函数
selectcookieid,datestr,pv,row_number() over(partition by cookieid order by pv asc) as rn,-- ntile(n)将窗口内的数据分配到n个桶里面去返回的结果是桶的编号ntile(3) over(partition by cookieid order by pv asc) as rs1,-- 取窗口中上一行的数据lag(pv) over(partition by cookieid order by pv asc) as rs2,-- 取窗口中下一行的数据lead(pv) over(partition by cookieid order by pv asc) as rs3,-- 取窗口中第一行的数据first_value(pv) over(partition by cookieid order by pv asc) as rs4,-- 取窗口中最后一行的数据last_value(pv) over(partition by cookieid order by pv asc) as rs5
from pv_tb;
