【发布时间】:2015-01-22 16:56:41
【问题描述】:
这是我的数据:
+--------+------------+---------+------------+----------------+
| UserID | VisitDate | VisitID | PurchaseID | LastPurchaseID |
+--------+------------+---------+------------+----------------+
| 1234 | 2014-10-03 | 1 | 4a75 | 4a75 |
| 1234 | 2014-10-06 | 2 | | 4a75 |
| 1234 | 2014-10-07 | 3 | b305 | b305 |
| 1234 | 2014-10-08 | 4 | | b305 |
| 1234 | 2014-10-09 | 5 | | b305 |
| 1234 | 2014-10-10 | 6 | b305 | b305 |
| 1234 | 2014-10-10 | 7 | | b305 |
| 1234 | 2014-10-15 | 8 | | b305 |
+--------+------------+---------+------------+----------------+
我没有 LastPurchaseID - 这就是我想要的
我想我必须使用窗口函数,但我不确定如何让它保留最近的非空值,即使最近的非空值是很多行之前的。
例如,我尝试过类似的方法:
SELECT UserID,
VisitDate,
VisitID,
PurchaseID,
LAG(TRIM(PurchaseID)) IGNORE NULLS
OVER (ORDER BY UserID, VisitDate) AS LastPurchaseID
FROM TheTable;
但这只会返回:
+--------+------------+---------+------------+----------------+
| UserID | VisitDate | VisitID | PurchaseID | LastPurchaseID |
+--------+------------+---------+------------+----------------+
| 1234 | 2014-10-03 | 1 | 4a75 | 4a75 |
| 1234 | 2014-10-06 | 2 | | 4a75 |
| 1234 | 2014-10-07 | 3 | b305 | b305 |
| 1234 | 2014-10-08 | 4 | | b305 |
| 1234 | 2014-10-09 | 5 | | |
| 1234 | 2014-10-10 | 6 | b305 | b305 |
| 1234 | 2014-10-10 | 7 | | b305 |
| 1234 | 2014-10-15 | 8 | | |
+--------+------------+---------+------------+----------------+
有没有办法使用窗口函数说“保持最新,如果它是空的,假设它没有从以前的非空值改变”?
【问题讨论】:
标签: aggregate-functions amazon-redshift