Let say I have this kind of column
create table exercise (cust_id varchar, policy_id varchar, end_date date, flag varchar);
insert into exercise (cust_id, policy_id, end_date, flag)
values
('1', 'a1', '2022-10-12', 'inactive'),
('1', 'a2', '2022-10-20', 'inactive'),
('1', 'a2', '2023-05-15', 'active'),
('2', 'a3', '2022-12-12', 'inactive')
('3', 'a3', '2022-09-18', 'inactive')
('3', 'a1', '2023-12-22', 'active')
from that column, we know that 3 customers (1, 2, 3) with 3 products(a1, a2, a3)
Is there any way to make new column,
if the customer have flag ‘active’ and ‘inactive’ then it called ‘good’,
but if the customer only have flag ‘inactive’ then it called ‘bad’
so the output will be look like this, how the logic ???
cust_id | policy_id | end_date | flag | credit |
---|---|---|---|---|
1 | a1 | 2022-10-12 | inactive | good |
1 | a2 | 2022-10-20 | inactive | good |
1 | a2 | 2023-05-15 | active | good |
2 | a3 | 2022-12-12 | inactive | bad |
3 | a3 | 2022-09-18 | inactive | good |
3 | a1 | 2023-12-22 | active | good |
3
Answers
We can use
COUNT()
here as a window function, along with conditional aggregation:Try this:
we can use
inner join
as follows :This one take on consideration if the last order is active or not.
Example if the last order of a customer is inactive he should be considered as bad customer :
check it here : https://dbfiddle.uk/j0TtG62a