Question

我对保留率有疑问。
我有2个表，包括客户数据和订单数据。

 DISTRIBUTOR as d
+---------+-----------+--------------+--------------------+
|   ID    | SETUP_DT  | REINSTATE_DT | LOCAL_REINSTATE_DT |
+---------+-----------+--------------+--------------------+
| C111111 | 2018/1/1  | Null         | Null               |
| C111112 | 2015/12/9 | 2018/10/25   | 2018/10/25         |
| C111113 | 2018/10/1 | Null         | Null               |
| C111114 | 2018/10/6 | 2018/12/14   | 2018/12/14         |
+---------+-----------+--------------+--------------------+

 ORDER as o, please noted that the data is for reference...
+---------+----------+-----+
|   ID    |  ORD_DT  | OAL |
+---------+----------+-----+
| C111111 | 2018/1/1 | 112 |
| C111111 | 2018/1/1 | 100 |
| C111111 | 2018/1/1 | 472 |
| C111111 | 2018/1/1 | 452 |
| C111111 | 2018/1/1 | 248 |
| C111111 | 2018/1/1 | 996 |
+---------+----------+-----+

 The 3rd Table in my mind to create the retention rate report
+---------+-----------+-----------+---------------+-----------+
|   ID    |  APP_MON  | ORDER_MON | TimeDiff(Mon) | TTL AMT |
+---------+-----------+-----------+---------------+-----------+
| C111111 | 2018/1/1  | 2018/1/1  |             - |  25,443   |
| C111111 | 2018/1/1  | 2018/2/1  |             1 |  7,610    |
| C111111 | 2018/1/1  | 2018/3/1  |             2 |  20,180   |
| C111111 | 2018/1/1  | 2018/4/1  |             3 |  22,265   |
| C111111 | 2018/1/1  | 2018/5/1  |             4 |  34,118   |
| C111111 | 2018/1/1  | 2018/6/1  |             5 |  19,523   |
| C111111 | 2018/1/1  | 2018/7/1  |             6 |  20,220   |
| C111111 | 2018/1/1  | 2018/8/1  |             7 |  2,006    |
| C111111 | 2018/1/1  | 2018/9/1  |             8 |  15,813   |
| C111111 | 2018/1/1  | 2018/10/1 |             9 |  16,733   |
| C111111 | 2018/1/1  | 2018/11/1 |            10 |  20,973   |
| C111112 | 2018/10/1 | 2017/11/1 |             - |  516      |
| C111112 | 2018/10/1 | 2018/10/1 |             - |  1        |
| C111113 | 2018/10/1 | Null      |             - | Null      |
| C111114 | 2018/12/1 | Null      |             - | Null      |
+---------+-----------+-----------+---------------+-----------+

Definition:
- APP_MON: the month that the customer joined, which is the max date from the start date of [d.SETUP_DT], [d.REINSTATE_DT] and [d.LOCAL_REINSTATE_DT]
- ORD_MON: the month that the customer purchased, which is the start date of the order date month
- TimeDiff: The duration by month between APP_MON and ORD_MON, e.g. if A's ODR_MON is 2018/1/1 and A'S APP_MON is 2018/2/1, the duration is 1.
- TTL_AMT: the total order amount that the customer bought in the related order date month

我试图从第3个表中获取数据。但是我运行下面的代码，它非常慢...我需要一种更有效的方法，因为我有数百万个数据... 谢谢。

Answer 1

我认为您不需要使用unpivot。要获取最新日期，您可以使用greatest()函数。

此解决方案有两个子查询，一个子查询为每个新客户计算app_mon，另一个子查询为最近两年下订单的所有客户计算最早的订货日期。这可能不是最有效的方法，但您的首要任务应该是获得正确的结果。拥有后，您可以根据需要对其进行调整：

with cust as 
(
    select d.dist_id as id
          , greatest(d.setup_dt, d.reinstate_dt, d.local_reinstate_dt) as app_mo 
    from mjensen_dev.gc_distributor d
    where d.setup_dt >= date '2017-01-01'
    or d.reinstate_dt >= date '2017-01-01'
    or d.local_reinstate_dt >= date '2017-01-01'
) , ord as 
(
    select o.dist_id as id
          , min(o.ord_dt) as ord_mon 
          , sum(o.oal) as ord_amt
    from gc_orders o
    where o.ord_dt >= date '2017-01-01'
    group by o.dist_id
          , trunc(o.ord_dt,'mm')
)
select cust.dist_id as id
       , cust.app_mon
       , ord.ord_mon
       , floor(months_between(ord.ord_mon, cust.app_mon ) as mon_diff
       , sum(o.oal) as ord_amt
from cust
     inner join gc_orders o on cust.id = o.dist_id
order by 1, 2
/

您可能希望调整我对mon_diff的计算。此计算将2018/2/1-2018/1/1视为一个月差额。因为对我来说奇怪的是，在加入之日下订单的客户的mon_diff为1而不是零。但是，如果您的业务规则陈述正确，则需要在计算中加1。同样，在日期处理中我没有包含trunc()，但您可能希望恢复它。

如何获取第三份报告以结合客户数据和订单数据

1 个答案: