sql:连续行之间的差异

b1uwtaje  于 2021-06-24  发布在  Hive
关注(0)|答案(2)|浏览(402)

包含3列的表:订单id、成员id、订单日期

需要拉订单分配按天数细分b/w按会员id连续2个订单
我得到的是:

SELECT 
  a1.member_id,
  count(distinct a1.order_id) as num_orders, 
  a1.order_date, 
  DATEDIFF(DAY, a1.order_date, a2.order_date) as days_since_last_order
from orders as a1 
inner join orders as a2 
  on a2.member_id = a1.member_id+1;

这并不能完全帮助我,因为我需要的输出是:

nbysray5

nbysray51#

你可以用 lag() 要获取同一客户上一次订单的日期:

select o.*,
    datediff(
        order_date,
        lag(order_date) over(partition by member_id order by order_date, order_id)
    ) days_diff
from orders o

当同一日期有两行时,最小的 order_id 首先考虑。还请注意,我修复了您的 datediff() 语法:在hive中,函数只需要两个日期,没有单位。
我只是不明白你要计算的逻辑 num_orders .

m4pnthwp

m4pnthwp2#

可能是这样的:

SELECT 
  a1.member_id,
  count(distinct a1.order_id) as num_orders, 
  a1.order_date, 
  DATEDIFF(DAY, a1.order_date, a2.order_date) as days_since_last_order
from orders as a1 
inner join orders as a2 
  on a2.member_id = a1.member_id
where not exists (
      select intermediate_order
      from orders as intermedite_order 
      where intermediate_order.order_date < a1.order_date and intermediate_order.order_date > a2.order_date) ;

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