我在PostgreSQL 10.5中有一张表Subscriptions:
id user_id starts_at ends_at
--------------------------------
1 233 02/04/19 03/03/19
2 233 03/04/19 04/03/19
3 296 02/09/19 03/08/19
4 126 02/01/19 02/28/19
5 126 03/01/19 03/31/19
6 922 02/22/19 03/22/19
7 111 01/22/19 02/21/19
8 111 02/22/19 03/21/19
我想获取未在3月重新订阅的用户ID的列表。鉴于以上数据,它应该显示:
user_id
-------
296
922
我将如何进行计算。我尝试了一些查询,但它们不起作用,也不值得发布
答案 0 :(得分:1)
您可以利用不存在,也不会吸引那些开始日期为三月的客户。
with cte as
(
select 1 as ID, 233 as User_Id, '02/04/2019' as Startsat , '03/03/2019' ends_at union all
select 2 as ID, 233 as User_Id, '03/04/2019' as Startsat , '04/03/2019' ends_at union all
select 3 as ID, 296 as User_Id, '02/09/2019' as Startsat , '03/08/2019' ends_at union all
select 4 as ID, 126 as User_Id, '02/01/2019' as Startsat , '02/28/2019' ends_at union all
select 5 as ID, 126 as User_Id, '03/01/2019' as Startsat , '03/31/2019' ends_at union all
select 6 as ID, 922 as User_Id, '02/22/2019' as Startsat , '03/22/2019' ends_at)
select * from cte c
where not exists
(select 1 from cte c1 where c.User_Id = c1.User_Id and date_part('Month',to_date(c1.Startsat,'MM/DD/YYYY'))= '3' )
输出:
id user_id startsat ends_at
3 296 02/09/2019 03/08/2019
6 922 02/22/2019 03/22/2019
以下是小提琴链接:
https://dbfiddle.uk/?rdbms=postgres_10&fiddle=84e24cd517fa0810bef011d6fb1b2be2
答案 1 :(得分:1)
大概是您想要一个特定的三月,而不是任何一年的三月。所以:
select s.userId
from subscriptions s
group by s.userId
having count(*) filter (where startsAt >= '2019-03-01' and startsAt < '2019-04-01') = 0;
您也可以使用not exists
。如果您有用户列表,则效果更好:
select u.*
from users u
where not exists (select 1
from subscriptions s
where s.userid = u.userid and
s.startsAt >= '2019-03-01' and
s.startsAt < '2019-04-01'
);
除了users
,您还可以使用:
select distinct s.userId
from subscriptions
where . . .
答案 2 :(得分:0)
除了其他答案,这里还有其他几个选择:
您可以创建2个CTE,每个月1个(假设您查看的是特定月份,而不仅仅是一般的2月/ 3月)。请注意,这使用range数据类型来过滤日期。
WITH
-- sample data
Subscriptions("id", user_id, starts_at, ends_at) AS
(
VALUES
(1, 233, DATE'02/04/19', DATE'03/03/19'),
(2, 233, DATE'03/04/19', DATE'04/03/19'),
(3, 296, DATE'02/09/19', DATE'03/08/19'),
(4, 126, DATE'02/01/19', DATE'02/28/19'),
(5, 126, DATE'03/01/19', DATE'03/31/19'),
(6, 922, DATE'02/22/19', DATE'03/22/19')
),
-- separate CTEs for February and March data
-- using range type for easy filter.
FebruarySubscriptions AS
(
SELECT * FROM Subscriptions
WHERE daterange('2019-02-01', '2019-03-01') @> starts_at
),
MarchSubscriptions AS
(
SELECT * FROM Subscriptions
WHERE daterange('2019-03-01', '2019-04-01') @> starts_at
)
SELECT *
FROM FebruarySubscriptions
LEFT JOIN MarchSubscriptions ON
MarchSubscriptions.user_id = FebruarySubscriptions.user_id
WHERE MarchSubscriptions."id" IS NULL
使用LEAD
窗口功能可以确定哪些用户没有重新订阅。此选项的好处是它更具扩展性。
WITH
Subscriptions("id", user_id, starts_at, ends_at) AS
(
VALUES
(1, 233, DATE'02/04/19', DATE'03/03/19'),
(2, 233, DATE'03/04/19', DATE'04/03/19'),
(3, 296, DATE'02/09/19', DATE'03/08/19'),
(4, 126, DATE'02/01/19', DATE'02/28/19'),
(5, 126, DATE'03/01/19', DATE'03/31/19'),
(6, 922, DATE'02/22/19', DATE'03/22/19')
),
Resubscriptions(user_id, current_subscription, next_subscription) AS
(
SELECT
user_id,
starts_at,
LEAD(starts_at) OVER
(
PARTITION BY user_id
ORDER BY starts_at ASC
)
FROM Subscriptions
)
SELECT *
FROM Resubscriptions
WHERE
daterange('2019-02-01', '2019-03-01') @> current_subscription
AND next_subscription IS NULL