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我有表 a(维度表)和表 B(事实表)存储交易购物者历史记录。

表 a:为唯一组合创建的购物 id(代理键)(第 2 列、第 3 列、第 4 列中的任何重复将具有相同的购物者 id)

表b是交易数据。 在此处输入图像描述

我正在尝试确定每周的新客户和重复客户,预期输出如下。

在此处输入图像描述

我正在考虑遵循 SQL 语句

选择 COUNT(*) OVER (PARTITION BY shopperid,weekdate) 作为重复客户的 total_new_shopperid,在相同的加入条件下识别新客户(即唯一),我被困在窗口功能上。

谢谢,

山姆

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2 回答 2

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您可以将DENSE_RANK分析函数与聚合函数一起使用,如下所示:

SELECT WEEK_DATE, 
       COUNT(DISTINCT CASE WHEN DR = 1 THEN SHOPPER_ID END) AS TOTAL_NEW_CUSTOMER,
       SUM(CASE WHEN DR = 1 THEN AMOUNT END) AS TOTAL_NEW_CUSTOMER_AMT,
       COUNT(DISTINCT CASE WHEN DR > 1 THEN SHOPPER_ID END) AS TOTAL_REPEATED_CUSTOMER,
       SUM(CASE WHEN DR > 1 THEN AMOUNT END) AS TOTAL_REPEATED_CUSTOMER_AMT 
  FROM
      (
        select T.*, 
               DENSE_RANK() OVER (PARTITION BY SHOPPER_ID ORDER BY WEEK_DATE) AS DR
          FROM YOUR_TABLE T);
GROUP BY WEEK_DATE;

干杯!!

于 2020-03-06T05:12:22.780 回答
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Tejash 的回答很好(我赞成)。

但是,Oracle 在聚合方面非常高效,因此两个级别的聚合可能具有更好的性能(取决于数据):

select week_date,
       sum(case when min_week_date = week_date then 1 else 0 end) as new_shoppers,
       sum(case when min_week_date = week_date then amount else 0 end) as new_shopper_amount,
       sum(case when min_week_date > week_date then 1 else 0 end) as returning_shoppers,
       sum(case when min_week_date > week_date then amount else 0 end) as returning_amount
from (select shopper_id, week_date,
             sum(amount) as amount,
             min(week_date) over (partition by shopper_id) as min_week_date
      from t
      group by shopper_id, week_date
     ) sw
group by week_date
order by week_date;

注意:如果这有更好的性能,可能是由于消除了count(distinct).

于 2020-03-06T12:50:45.620 回答