Question

我在此表中包含字段（campaign_launch_date，email_address_id）。电子邮件被发送给用户以诱使他们购买。我想弄清楚在campaign_launch_date之后的7天内是否有任何email_addresses购买了任何东西（以及订单总额）。

我拥有的表：
表1：（campaign_launch_date，email_address_id，launch_id）
表2：（email_address_id，user_id）
表3：（user_id，sales_transaction_date，order_amount）

这是我到目前为止所拥有的：

SELECT    t1.launch_id, 
          t3.user_id, 
          Sum(order_amount), 
          Count(order_amount)
FROM      t1 
JOIN      t2 
ON        t1.email_address_id = t2.email_address_id 
LEFT JOIN 
ON        t3.user_id = t2.user_id 
AND       t1.campaign_launch_date <= (t3.sales_transaction_date + interval '7' day) 
GROUP BY  1, 
          2

Answer 1

SELECT    t1.launch_id, 
          t3.user_id, 
          Sum(order_amount), 
          Count(order_amount)
FROM      t1 
JOIN      t2 
ON        t1.email_address_id = t2.email_address_id 
LEFT JOIN t3
ON        t2.user_id = t3.user_id 
WHERE     t1.campaign_launch_date <= (t3.sales_transaction_date + interval '7' day) 
GROUP BY  1, 
          2

Answer 2

我认为您的日期逻辑不正确。如果我理解正确：

select t1.launch_id, t3.user_id, sum(order_amount), count(order_amount)
from t1 join
     t2
     on t1.email_address_id = t2.email_address_id left join
     t3
     on t3.user_id = t2.user_id and
        t3.sales_transaction_date >= t1.campaign_launch_date  and
        t3.sales_transaction_date <= t1.campaign_launch_date + INTERVAL '7' DAY)
group by 1, 2;

Answer 3

像这样吗？

for element in tweets:
    for s in element.get('statuses'):
       place = s.get('place')
       print(place['name'])

查找汇总SQL

3 个答案: