[sql] Using LIMIT within GROUP BY to get N results per group?

The original query used user variables and ORDER BY on derived tables; the behavior of both quirks is not guaranteed. Revised answer as follows.

In MySQL 5.x you can use poor man's rank over partition to achieve desired result. Just outer join the table with itself and for each row, count the number of rows lesser than it. In the above case, lesser row is the one with higher rate:

SELECT t.id, t.rate, t.year, COUNT(l.rate) AS rank
FROM t
LEFT JOIN t AS l ON t.id = l.id AND t.rate < l.rate
GROUP BY t.id, t.rate, t.year
HAVING COUNT(l.rate) < 5
ORDER BY t.id, t.rate DESC, t.year

Demo and Result:

| id  | rate | year | rank |
|-----|------|------|------|
| p01 |  8.0 | 2006 | 0    |
| p01 |  7.4 | 2003 | 1    |
| p01 |  6.8 | 2008 | 2    |
| p01 |  5.9 | 2001 | 3    |
| p01 |  5.3 | 2007 | 4    |
| p02 | 12.5 | 2001 | 0    |
| p02 | 12.4 | 2004 | 1    |
| p02 | 12.2 | 2002 | 2    |
| p02 | 10.3 | 2003 | 3    |
| p02 |  8.7 | 2000 | 4    |

Note that if the rates had ties, for example:

100, 90, 90, 80, 80, 80, 70, 60, 50, 40, ...

The above query will return 6 rows:

100, 90, 90, 80, 80, 80

Change to HAVING COUNT(DISTINCT l.rate) < 5 to get 8 rows:

100, 90, 90, 80, 80, 80, 70, 60

Or change to ON t.id = l.id AND (t.rate < l.rate OR (t.rate = l.rate AND t.pri_key > l.pri_key)) to get 5 rows:

 100, 90, 90, 80, 80

In MySQL 8 or later just use the RANK, DENSE_RANK or ROW_NUMBER functions:

SELECT *
FROM (
    SELECT *, RANK() OVER (PARTITION BY id ORDER BY rate DESC) AS rnk
    FROM t
) AS x
WHERE rnk <= 5

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Using LIMIT within GROUP BY to get N results per group?