I have data table Customers that looks like this:
ID | Sequence No |
1 | 1 |
1 | 2 |
1 | 3 |
2 | 1 |
2 | 1 |
2 | 1 |
3 | 1 |
3 | 2 |
I would like to filter the table so that only IDs with more than 1 distinct count of Sequence No remain.
Expected output:
ID | Sequence No |
1 | 1 |
1 | 2 |
1 | 3 |
3 | 1 |
3 | 2 |
I tried
select ID, Sequence No
from Customers
where count(distinct Sequence No) > 1
order by ID
but I'm getting error. How to solve this?
Using analytic functions, we can try:
WITH cte AS (
SELECT *, MIN([Sequence No]) OVER (PARTITION BY ID) min_seq,
MAX([Sequence No]) OVER (PARTITION BY ID) max_seq
FROM Customers
)
SELECT ID, [Sequence No]
FROM cte
WHERE min_seq <> max_seq
ORDER BY ID, [Sequence No];
We are checking for a distinct count of sequence number by asserting that the minimum and maximum sequence numbers are not the same for a given ID
. The above query could benefit from the following index:
CREATE INDEX idx ON Customers (ID, [Sequence No]);
This would let the min and max values be looked up faster.
You can get the desired result by using the below query. This is similar to what you were trying -
Sample Table & Data
Declare @Data table
(Id int, [Sequence No] int)
Insert into @Data
values
(1 , 1 ),
(1 , 2 ),
(1 , 3 ),
(2 , 1 ),
(2 , 1 ),
(2 , 1 ),
(3 , 1 ),
(3 , 2 )
Query
Select * from @Data
where ID in(
select ID
from @Data
Group by ID
Having count(distinct [Sequence No]) > 1
)
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