Reputation: 3933
I have with the following scenario:
I want to update tableB
using the rating from tableA
. The challenge is: the ratings change randomly and when updating tableB's records, I have the take in account the date of the match and if the rating changed let's say on Tuesday and the game was on the monday before, I want the rating to be the previous rating not the latest one.
#table A: contains rating of players, changes randomly at any date depending
#on drop of form from the players
PID| Rating | DateChange |
1 | 2 | 10-May-2014 |
1 | 4 | 20-May-2015 |
1 | 20 | 1-June-2015 |
2 | 4 | 1-April-2014|
3 | 4 | 5-April-2014|
2 | 3 | 3-May-2015 |
#Table B: contains match sheets. Every player has a different match sheet
#and plays different dates.
MsID | PID | MatchDate | Win | Rating |
1 | 2 | 10-May-2014 | No | 0 |
2 | 1 | 15-May-2015 | Yes | 0 |
3 | 3 | 10-Apr-2014 | No | 0 |
4 | 1 | 21-Apr-2015 | Yes | 0 |
5 | 1 | 3-June-2015 | Yes | 0 |
6 | 2 | 5-May-2015 | No | 0 |
#I am trying to achieve this by running the ms-access query: i want to get
#every players rating at the time the match was played not his current
#rating.
MsID | PID | MatchDate | Rating |
1 | 2 | 10-May-2014 | 4 |
2 | 1 | 15-May-2015 | 2 |
3 | 3 | 10-Apr-2014 | 4 |
4 | 1 | 21-Apr-2015 | 2 |
5 | 1 | 3-June-2015 | 20 |
6 | 2 | 5-May-2015 | 3 |
I tried the following code:
Update [B-table] as wdev
set wdev.rating = ( SELECT B.MsID, B.PID, B.MatchDate, A.rating as Rating
FROM [B-table] B
INNER JOIN [A-table] A
on B.PID = A.PID
INNER JOIN (
SELECT MAX(Y.DateChange) MDC, Y.PID, Z.Matchdate
FROM [B-table] Z
INNER Join [A-table] Y
on Z.PID = Y.PID
and Y.DateChange <= Z.MatchDate
GROUP BY Y.PID, Z.Matchdate) C
on C.mdc = A.DateChange
and A.PID = C.PId
and B.MatchDate = C.Matchdate) And B.MsID = Wdev.MsID
In summary: I want the rating corresponding to the max date change on or before date of match.
Upvotes: 0
Views: 1473
Reputation: 1270573
I think you just want a correlated subquery:
update [B-table] as b
set rating = (select top 1 rating
from [A-table] as a
where a.pid = b.pid and
a.datechange <= b.matchdate
order by a.datechange desc
) ;
Note: because of the way that MS Access processes top
, the subquery could return multiple rows in the event of a tie. The normal solution to this is to include an additional key value in the order by
, to prevent ties. However, there does not seem to be a unique key in the "a" table.
Upvotes: 1