我连续 2 年在“Group_3”中对用户进行分组时遇到问题。想法是将连续 2 年下订单收入超过 2000 的用户分组到第 3 组。
SELECT email_id,
COUNT(*) as num_of_orders,
SUM(revenue) AS total_money_spent,
CASE WHEN
SUM(CASE WHEN order_creation_date BETWEEN '2016-01-01' and '2016-12- 31'
THEN revenue END) > 2000
THEN 'Group_1'
WHEN
SUM(CASE WHEN order_creation_date BETWEEN '2015-01-01' and '2016-12-31'
THEN revenue END) > 2000
THEN 'Group_2'
WHEN
SUM(CASE WHEN EXTRACT(years FROM order_creation_date) <> LAG(EXTRACT(years FROM order_creation_date))
OVER(PARTITION BY email_id ORDER BY EXTRACT(years FROM order_creation_date)) + 1
THEN revenue END) > 2000
THEN 'Group_3'
WHEN
SUM(CASE WHEN order_creation_date BETWEEN '2015-01-01' and '2016-12-31'
THEN revenue END) < 2000
THEN 'Group_4'
WHEN
SUM(CASE WHEN order_creation_date BETWEEN '2015-01-01' and '2016-12-31'
THEN revenue END) = 0
THEN 'Group_5'
END
FROM sql_test
GROUP BY email_id
ORDER BY num_of_orders DESC;
我得到:
聚合函数调用不能包含窗口函数调用
第 13 行:...E WHEN EXTRACT(years FROM order_creation_date) <> LAG(EXTRAC..
我猜我不能在
LAG
查询中使用CASE
?
窗口函数在 SELECT
语句中执行
after聚合函数。您不能以相反的顺序嵌套它们。考虑事件的顺序:
改用子查询:
SELECT email_id,
COUNT(*) as num_of_orders,
SUM(revenue) AS total_money_spent,
CASE WHEN
SUM(revenue) FILTER (WHERE order_creation_date BETWEEN '2016-01-01' and '2016-12-31') > 2000
THEN 'Group_1'
WHEN
SUM(revenue) FILTER (WHERE order_creation_date BETWEEN '2015-01-01' and '2016-12-31') > 2000
THEN 'Group_2'
WHEN
SUM(revenue) FILTER (WHERE EXTRACT(year FROM order_creation_date) <> last_year + 1) > 2000
THEN 'Group_3'
WHEN
SUM(revenue) FILTER (WHERE order_creation_date BETWEEN '2015-01-01' and '2016-12-31') < 2000
THEN 'Group_4'
WHEN
SUM(revenue) FILTER (WHERE order_creation_date BETWEEN '2015-01-01' and '2016-12-31') = 0
THEN 'Group_5'
END
FROM (
SELECT *, LAG(EXTRACT(year FROM order_creation_date)) OVER (PARTITION BY email_id ORDER BY EXTRACT(year FROM order_creation_date)) AS last_year
FROM sql_test
) sub
GROUP BY email_id
ORDER BY num_of_orders DESC;
在做的时候:总的
FILTER
表达式比那些CASE
表达式更优雅、更快。参见: