Reputation: 85
Ok so I have this table :
+----+--------------+------------------+----------+
| id | business_key | other columns... | creation |
+----+--------------+------------------+----------+
| 1 | 1 | ... | 01/01/14 |
| 2 | 1 | ... | 12/02/14 |
| 3 | 1 | ... | 13/03/14 | <--
| 4 | 2 | ... | 01/01/14 |
| 5 | 2 | ... | 12/02/14 | <--
| 6 | 8 | ... | 01/01/14 | <--
| 7 | 10 | ... | 01/01/14 |
| 8 | 10 | ... | 12/02/14 |
| 9 | 10 | ... | 13/03/14 |
| 10 | 10 | ... | 13/03/14 | <--
+----+--------------+------------------+----------+
For each business key, I want to return the most recent row and for that I have the "creation" column (see the arrows above). The simple answer would be :
SELECT business_key, MAX(creation) FROM mytable GROUP BY business_key;
The thing is, I need to return ALL the columns. Then I learned the existence of the greatest-n-per-group tag on StackOverflow and I found this topic : SQL Select only rows with Max Value on a Column. The best answer is great and provides this request :
SELECT mt1.*
FROM mytable mt1
LEFT OUTER JOIN mytable mt2
ON (mt1.business_key = mt2.business_key AND mt1.creation < mt2.creation)
WHERE mt2.business_key IS NULL;
Sadly it doesn't work because my situation is a little trickier : if you look at the line 9 and 10 of my table, you will see that they have the same business key and the same creation date. While this should be avoided in my application, I still have to handle it if it happens.
With the last request above, this is what I will get :
+----+--------------+------------------+----------+
| id | business_key | other columns... | creation |
+----+--------------+------------------+----------+
| 3 | 1 | ... | 13/03/14 |
| 5 | 2 | ... | 12/02/14 |
| 6 | 8 | ... | 01/01/14 |
| 9 | 10 | ... | 13/03/14 | <--
| 10 | 10 | ... | 13/03/14 | <--
+----+--------------+------------------+----------+
While I wanted this :
+----+--------------+------------------+----------+
| id | business_key | other columns... | creation |
+----+--------------+------------------+----------+
| 3 | 1 | ... | 13/03/14 |
| 5 | 2 | ... | 12/02/14 |
| 6 | 8 | ... | 01/01/14 |
| 10 | 10 | ... | 13/03/14 | <--
+----+--------------+------------------+----------+
I know it's a poor choice to want a MAX() on a technical column like "id", but right now it's the only way for me to prevent duplicates when the business key AND the creation date are the same. The problem is, I have no idea how to do it. Any idea ? Keep in mind it must return all the columns (and we have a lot of columns so a SELECT * will be necessary).
Thanks a lot.
Upvotes: 2
Views: 5000
Reputation: 1271131
The first thought is that your id
seems to increment along with the date, so just use that:
SELECT mt1.*
FROM mytable mt1 LEFT OUTER JOIN
mytable mt2
ON mt1.business_key = mt2.business_key AND mt2.id > mt1.id
WHERE mt2.business_key IS NULL;
You can still do the same idea with two columns:
SELECT mt1.*
FROM mytable mt1 LEFT OUTER JOIN
mytable mt2
ON mt1.business_key = mt2.business_key AND
(mt2.creation > mt1.creation OR
mt2.creation = mt1.creation AND
mt2.id > mt1.id
)
WHERE mt2.business_key IS NULL;
Upvotes: 3