Consider this table some_table
:
+--------+----------+---------------------+-------+
| id | other_id | date_value | value |
+--------+----------+---------------------+-------+
| 1 | 1 | 2011-04-20 21:03:05 | 104 |
| 2 | 1 | 2011-04-20 21:03:04 | 229 |
| 3 | 3 | 2011-04-20 21:03:03 | 130 |
| 4 | 1 | 2011-04-20 21:02:09 | 97 |
| 5 | 2 | 2011-04-20 21:02:08 | 65 |
| 6 | 3 | 2011-04-20 21:02:07 | 101 |
| ... | ... | ... | ... |
+--------+----------+---------------------+-------+
I want to select and group by the other_id
, so that I only get unique other_id
s. This query works (credit @MichaelPakhantsov):
select id, other_id, date_value, value from
(
SELECT id, other_id, date_value, value,
ROW_NUMBER() OVER (partition by other_id order BY Date_Value desc) r
FROM some_table
)
where r = 1
How can I get the same result, but with a count of how many rows were grouped, for each other_id
. The desired result would look like:
+--------+----------+---------------------+-------+-------+
| id | other_id | date_value | value | count |
+--------+----------+---------------------+-------+-------+
| 1 | 1 | 2011-04-20 21:03:05 | 104 | 3 |
| 5 | 2 | 2011-04-20 21:02:08 | 65 | 2 |
| 3 | 3 | 2011-04-20 21:03:03 | 130 | 2 |
+--------+----------+---------------------+-------+-------+
I've tried using COUNT(other_id)
in both the inner and outer selects but it produces this error:
ORA-00937: not a single-group group function
Note: similar to this question (example table and answer taken from there) but that question doesn't give a count of the collapsed rows.
add a
count(*) OVER (partition by other_id) cnt
to the inner query
select id, other_id, date_value, value, cnt from
(
SELECT id, other_id, date_value, value,
ROW_NUMBER() OVER (partition by other_id order BY Date_Value desc) r,
count(*) OVER (partition by other_id) cnt
FROM some_table
)
where r = 1
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With