Reputation: 4622
This is the table for testing
----------------------------------------------
id | username | point | level | created_date
----------------------------------------------
1 | name_a | 1 | 1 | 2011-08-01
2 | name_a | 2 | 2 | 2011-08-02
3 | name_b | 5 | 1 | 2011-08-02
3 | name_c | 6 | 1 | 2011-08-02
4 | name_d | 1 | 1 | 2011-08-01
5 | name_d | 3 | 1 | 2011-08-02
5 | name_d | 5 | 2 | 2011-08-03
4 | name_e | 5 | 1 | 2011-08-01
5 | name_e | 5 | 2 | 2011-08-02
5 | name_e | 5 | 3 | 2011-08-03
----------------------------------------------
Requirement for the query is to query (as much as possible in one query) the username, point of the table.
Output sample:
--------------------
username | tpoint|
--------------------
name_d | 8 |
name_b | 5 |
name_a | 3 |
--------------------
name_e
and name_c
was ignored.
Upvotes: 4
Views: 136
Reputation: 21
SELECT
Query2.username
, Sum(Query2.SomVanpoint) AS point
FROM
(SELECT
test.username
, test.level
, Sum(test.point) AS SomVanpoint
FROM
test
INNER
JOIN
(SELECT
test.username
, test.level
, Max(test.created_date) AS MaxVancreated_date
FROM
test
GROUP
BY test.username
, test.level
) AS Query1
ON
(test.username = Query1.username)
AND (test.level = Query1.level)
AND (test.created_date = Query1.MaxVancreated_date)
GROUP
BY test.username
, test.level
HAVING
(((Sum(test.point))<= 5))
) AS Query2
GROUP
BY Query2.username
HAVING
(((Sum(Query2.SomVanpoint))< 10))
ORDER
BY Sum(Query2.SomVanpoint) DESC;
=== output:
username | point
----------+------
name_d | 8
name_b | 5
name_a | 3
Upvotes: 2
Reputation: 43219
SELECT SUM(t3.point) AS tpoint, t3.username
FROM (
SELECT t1.level, t1.username, t1.created_date, t1.point
FROM testing AS t1
INNER JOIN (SELECT level, username, MAX(created_date) AS MaxDate
FROM testing) AS t2
ON (t1.level=t2.level AND t1.username=t2.username AND t1.created_date = t2.MaxDate)
WHERE t1.point <= 5
) AS t3
GROUP BY t3.username
HAVING tpoint < 10
ORDER BY tpoint DESC
Don't know if I used the aliases correctly, hope this works!
The inner query with the join is to get the latest username,level combination where single level point count is > 5. This is then used to get the total sum per username and discard those with more then 10 points.
Upvotes: 2
Reputation: 48357
OK, taking part 2 first....
SELECT *
FROM table a
WHERE NOT EXISTS (
SELECT 1
FROM table b
WHERE b.username=a.username
AND a.created_date>b.created_date
)
But mysql doesn't cope with push-predicates very well, hence the max-concat trick, but that's going to make the query very complicated - worth revisiting if you've got performance problems. Now to add in the other stuff....parts 1,3 and 5
SELECT username, level, SUM(point)
FROM
(SELECT *
FROM table a
WHERE NOT EXISTS (
SELECT 1
FROM table b
WHERE b.username=a.username
AND a.created_date>b.created_date
)
) ilv
GROUP BY username, level
HAVING SUM(point) <= 5;
How you implement 4 depends on the exact sequence in which this constraint is applied in relation to the other constraints (particularly 2 and 5). The following should give the disred output from the stated input...
SELECT username, level, SUM(point)
FROM
(SELECT *
FROM table a
WHERE NOT EXISTS (
SELECT 1
FROM table b
WHERE b.username=a.username
AND a.created_date>b.created_date
)
) ilv,
(SELECT username, SUM(point) as totpoint
FROM table c
GROUP BY username
HAVING SUM(point)<=10) ilv2
WHERE ilv.username=ilv2.username
GROUP BY username, level
HAVING SUM(point) <= 5;
Whoops - just read this again and saw that you're not interested to see a level breakdown in the output set - in which case Robin's answer is better.
Upvotes: 1
Reputation: 10996
Sounds like a fun query!
SELECT username, SUM(point) AS points
FROM (SELECT username, level, point
FROM (SELECT username, level, LEAST(point, 5) AS point
FROM table
WHERE points <= 5
ORDER BY created_date DESC) AS h
GROUP BY username, level) AS h2
GROUP BY username
HAVING points < 10
ORDER BY points DESC
This should do it! Just replace "table".
EDIT:
Do you want to exclude rows which got a score over 5, or have the value as 5? Just remove WHERE points <= 5 if such.
Upvotes: 7