Hive多维分析函数——With cube、Grouping sets、With rollup

有些指标涉及【多维度】的聚合,大的汇总维度,小的明细维度,需要精细化的下钻。

  • grouping sets: 多维度组合,组合维度自定义;
  • with cube: 多维度组合,程序自由组合,组合为各个维度的笛卡尔积;
  • **with rollup:**是 with cube的子集,以左侧维度为主,即不允许左侧为NULL,右侧为非NULL的情况出现

一、grouping sets

0 数据准备

sql 复制代码
with test1 as
     (select '2021-08' as month_date,'2021-08-11' as day_date,10 as pv
      union all
      select '2021-08' as month_date,'2021-08-10' as day_date,15 as pv
      union all
      select '2021-08' as month_date,'2021-08-08' as day_date,35 as pv
      union all
      select '2021-07' as month_date,'2021-07-08' as day_date,35 as pv
      union all
      select '2021-07' as month_date,'2021-07-06' as day_date,25 as pv
      union all
      select '2021-07' as month_date,'2021-07-03' as day_date,15 as pv)
      select 
        month_date,
        day_date,
        sum(pv) as pv
     from test1
      group by month_date,day_date
      grouping sets
       (
          (),
          (month_date),
          (month_date,day_date),
          (day_date)
        )
      order by month_date,day_date;

1 结果分析

二、with cube

0 数据准备

sql 复制代码
with test1 as
(select '2021-08' as month_date,'2021-08-11' as day_date,10 as pv
 union all
 select '2021-08' as month_date,'2021-08-10' as day_date,15 as pv
 union all
 select '2021-08' as month_date,'2021-08-08' as day_date,35 as pv
 union all
 select '2021-07' as month_date,'2021-07-08' as day_date,35 as pv
 union all
 select '2021-07' as month_date,'2021-07-06' as day_date,25 as pv
 union all
 select '2021-07' as month_date,'2021-07-03' as day_date,15 as pv)
 
 select 
   month_date,
   day_date,
   sum(pv) as pv
 from test1
 group by month_date,day_date
 with cube
 order by month_date,day_date;

1 结果分析

2 总结

  • 从with cube和grouping sets的案例可以看出,两个结果是一样的;
  • with cube的维度组合(各个维度的笛卡尔积)就是groupingsets里面手动添加的维度,即为month_date,day_date两个维度的笛卡尔积。维度组合即为:()、 (month_date)、 (month_date,day_date)、 (day_date)

三、 with rollup

0 数据准备

sql 复制代码
with test1 as
(select '2021-08' as month_date,'2021-08-11' as day_date,10 as pv
 union all
 select '2021-08' as month_date,'2021-08-10' as day_date,15 as pv
 union all
 select '2021-08' as month_date,'2021-08-08' as day_date,35 as pv
 union all
 select '2021-07' as month_date,'2021-07-08' as day_date,35 as pv
 union all
 select '2021-07' as month_date,'2021-07-06' as day_date,25 as pv
 union all
 select '2021-07' as month_date,'2021-07-03' as day_date,15 as pv)

select 
  month_date,
  day_date,
  sum(pv) as pv
from test1
group by month_date,day_date
with rollup
order by month_date,day_date;

1 结果分析

2 总结

从结果上可以看出,with rollup 和with cube的区别是,少了day_date这个单独维度的聚合,因为with rollup是以左侧维度为主,当左侧month_date维度为NULL时,右侧day_date维度必须为NULL。

参考文章 :

https://zhuanlan.zhihu.com/p/631268351

https://blog.51cto.com/u_14555/6696007

相关推荐
米瑞格门窗4 分钟前
上海系统门窗哪个靠谱
大数据·人工智能·安全·家装·家装建材·系统门窗
江晓鱼未暖11 分钟前
十七、Redis 核心原理与架构详解
大数据·数据库·数据仓库·redis·缓存·架构
Web3_Daisy12 分钟前
如何在Robinhood Chain创建 Uniswap V3 流动性池
大数据·人工智能·web3·区块链
长三角活动观察38 分钟前
政企线下活动全流程项目管控方案:苏州独石传媒长三角多场景落地实践总结
大数据·人工智能·传媒
leijiwen1 小时前
文旅消费产业可信数据空间解决方案(白皮书版)
大数据·人工智能
2601_962780691 小时前
高考报大数据相关专业怎么选
大数据·高考
优氙费控1 小时前
出差在外怎么快速报销?手机一键填报+自动留痕
大数据·人工智能
java1234_小锋1 小时前
【免费】基于Spark实时金融交易风险监控与预测系统(Java版本+可视化大屏+Kafka+SpringBoot+Vue3) 锋哥原创出品,必属精品
大数据·spark·kafka·金融交易风险监控与预测
徐礼昭|商派软件市场负责人2 小时前
AI Agent 蜂群协作与经验基因化:从单体执行到自组织系统的工程路径
大数据·人工智能·算法·智能体·多agent
云草桑2 小时前
Odoo 出海供应链管理:库存管理与全球化运营实战
大数据·odoo·erp·跨境