On Feb 16, 4:03 pm, "Ed" <e
...@mail.com> wrote:
> Say I have a bunch of bowling players of different skill level as indicated
> by his avg_score in the table below.
> I need to allot them into n teams (say 8), of equivalent strength on the
> TEAM level so no team ends up with mostly high-scorers and vic-versa.
> (let's say players may not be evenly divided into teams because n numbers
> are "sick")
> Is there a way to do to this ?
> Thanks
> 10gR2> create table players (id integer primary key, avg_score number,
> team_no integer) ;
> 10gR2> desc players
> Name Type
> --------- -------
> ID INTEGER
> AVG_SCORE NUMBER
> TEAM_NO INTEGER
> 10gR2> BEGIN
> 2 FOR i IN 1..120
> 3 LOOP
> 4 INSERT INTO players (id, avg_score)
> VALUES(i,round(dbms_random.value(75,295)));
> 5 END LOOP;
> 6 END ;
> 7 /
> 10gR2> commit;
Needs work, but may be enough to get you started:
SELECT
ID,
AVG_SCORE,
ROW_NUMBER() OVER (ORDER BY AVG_SCORE) RANKING,
COUNT(*) OVER (PARTITION BY 1) ROWS_COUNT
FROM
PLAYERS;
ID AVG_SCORE RANKING ROWS_COUNT
---------- ---------- ---------- ----------
74 78 1 120
91 82 2 120
95 83 3 120
77 86 4 120
61 87 5 120
23 87 6 120
1 90 7 120
67 91 8 120
62 97 9 120
33 98 10 120
...
88 271 111 120
41 272 112 120
104 274 113 120
32 275 114 120
36 275 115 120
99 276 116 120
71 277 117 120
31 285 118 120
3 286 119 120
113 288 120 120
If we were to take the people at rank 1 and rank 120, they would have
roughly the same average as the people at rank 2 and rank 119 , and
they would have roughly the same average as the people at rank 3 and
118, etc. This does not work exactly as planned as the number of
people must be evenly divisible by 2 * the number of groups, and this
is not the case with 120 people and 8 groups.
We can have Oracle skip from 1 to 9 to 17 to ... by using the MOD
function, but we must recognize the mid-point so that we can switch
the formula.
By sliding the above into an inline view, we can perform the analysis
that is required. I included three additional columns to help
determine whether or not the formula is close:
SELECT
ID,
AVG_SCORE,
DECODE(SIGN(RANKING-(ROWS_COUNT/2)),-1,MOD(RANKING-1,8)+1,((8-1)-
MOD(RANKING-(8/2),8))+1) TEAM_NO,
RANKING,
SUM(AVG_SCORE) OVER (PARTITION BY DECODE(SIGN(RANKING-(ROWS_COUNT/
2)),-1,MOD(RANKING-1,8)+1,((8-1)-MOD(RANKING-(8/2),8))+1)) TEAM_AVG,
COUNT(*) OVER (PARTITION BY DECODE(SIGN(RANKING-(ROWS_COUNT/
2)),-1,MOD(RANKING-1,8)+1,((8-1)-MOD(RANKING-(8/2),8))+1))
NUM_TEAM_MEMBERS
FROM
(SELECT
ID,
AVG_SCORE,
ROW_NUMBER() OVER (ORDER BY AVG_SCORE) RANKING,
COUNT(*) OVER (PARTITION BY 1) ROWS_COUNT
FROM
PLAYERS)
ORDER BY
RANKING;
ID AVG_SCORE TEAM_NO RANKING TEAM_AVG
NUM_TEAM_MEMBERS
---------- ---------- ---------- ---------- ----------
----------------
74 78 1 1 2603
15
91 82 2 2 2602
15
95 83 3 3 2592
15
77 86 4 4 2709
15
61 87 5 5 2701
15
23 87 6 6 2690
15
1 90 7 7 2686
15
67 91 8 8 2689
15
62 97 1 9 2603
15
33 98 2 10 2602
15
79 98 3 11 2592
15
120 100 4 12 2709
15
2 101 5 13 2701
15
39 101 6 14 2690
15
60 102 7 15 2686
15
101 104 8 16 2689
15
...
14 257 8 108 2689
15
59 259 7 109 2686
15
29 262 6 110 2690
15
88 271 5 111 2701
15
41 272 4 112 2709
15
104 274 3 113 2592
15
32 275 2 114 2602
15
36 275 1 115 2603
15
99 276 8 116 2689
15
71 277 7 117 2686
15
31 285 6 118 2690
15
3 286 5 119 2701
15
113 288 4 120 2709
15
Charles Hooper
PC Support Specialist
K&M Machine-Fabricating, Inc.
