I have three tables that I am trying to join together to check that the proper data matches. I have table A which is a list of all accounts that a commission was paid on and what that commission amount was. I have Table B and Table C which are two tables that have commission calculations in it. The goal is to compare Table A to Table and to Table C and pulling back the amounts from both tables to ensure a match. The part I am struggling with is, Table A has all the accounts that are the base population. Table B has some and Table C as some. An account will be in either Table B or C, but never in both. I want to pull the payment from Table A, and then verify to the payment in Table B or C(whichever it occurs) and the same with commission. I then am doing a case when that compares the two fields and tells me if it matches are not.
+---------+---------+-----+------+
| Table A | | | |
+---------+---------+-----+------+
| Account | Uniq_ID | Pay | Comm |
| 12345 | ABCD | 100 | 10 |
| 23456 | OLPOL | 25 | 2 |
| 45678 | LKJHG | 200 | 15 |
| 96385 | LKJ67 | 250 | 26 |
+---------+---------+-----+------+
+---------+---------+-----+------+
| Table B | | | |
+---------+---------+-----+------+
| Account | Uniq_ID | Pay | Comm |
| 12345 | ABCD | 100 | 8 |
| 45678 | LKJHG | 200 | 15 |
+---------+---------+-----+------+
+---------+---------+-----+------+
| Table C | | | |
+---------+---------+-----+------+
| Account | Uniq_ID | Pay | Comm |
| 23456 | OLPOL | 25 | 2 |
| 96385 | LKJ67 | 250 | 32 |
+---------+---------+-----+------+
I am trying to get my results to show up in a columns called pay_ver and comm_verf, and it would populate with the data from either Table B or C based on which it matched with. I am hoping to have to output look like so....
+---------+---------+-----+----------+------+-----------+---------+
| Output | | | | | | |
+---------+---------+-----+----------+------+-----------+---------+
| Account | Uniq_ID | Pay | Pay_verf | comm | comm_Verf | Matched |
| 12345 | ABCD | 100 | 100 | 10 | 8 | No |
| 23456 | OLPOL | 25 | 25 | 2 | 2 | Yes |
| 45678 | LKJHG | 200 | 200 | 15 | 15 | Yes |
| 96385 | LKJ67 | 250 | 250 | 26 | 32 | No |
+---------+---------+-----+----------+------+-----------+---------+
This is the code I have used to join Table A to B, and Table A to C but I have done this in two separate queries giving me two outputs. I would like to be able to do this in one, so I only have one output.
select a.account, a.uniq_id, a.pay, b.pay as pay_verf, a.comm, b.comm as comm_verf,
CASE WHEN a.comm = b.comm THEN 'MATCHED'
ELSE 'UNMATCHED'
END as Matched
from tblA a
left join tblB b
on a.account = b.account
and a.uniq_id = b.uniq_id;
I can not just figure out how to also get it to join to Table C without adding an extra column.
You can do:
select
account, uniq_id, pay,
pay_total as pay_verf,
comm,
comm - comm_total as comm_verf,
case when comm = comm_total then 'Yes' else 'No' end as matched
from (
select
a.account, a.uniq_id, a.pay, a.comm,
coalesce(b.pay, 0) + coalesce(c.pay, 0) as pay_total,
coalesce(b.comm, 0) + coalesce(c.comm, 0) as comm_total
from table_a a
left join table_b b on a.account = b.account
left join table_c c on a.account = c.account
) x
You are very close. Just need to add one more join and an addition WHEN to your case statement. This should act like an if elseif else logic. So it checks if a.comm = b.comm and then checks a.comm = c.comm. If neither match if will set to unmatched. This works well because you stated the ID can't be in both B and C.
select a.account, a.uniq_id, a.pay, b.pay as pay_verf, a.comm, b.comm as comm_verf,
CASE WHEN a.comm = b.comm THEN 'MATCHED'
WHEN a.comm = c.comm THEN 'MATCHED'
ELSE 'UNMATCHED'
END as Matched
from tblA a
left join tblB b
on a.account = b.account
and a.uniq_id = b.uniq_id;
left join tblB c
on a.account = c.account
and a.uniq_id = c.uniq_id;
Yet another option could be something like
SELECT a.account, a.uniq_id, a.pay, bc.pay as pay_verf, a.comm, bc.comm as comm_verf
FROM a left join (
SELECT * from b
UNION ALL
SELECT * from c
) bc on (a.account = bc.account and a.uniq_id = bc.uniq_id)
Related
Edit: In the preview the tables look perfectly fine but I'm not sure why the tables in my final published question look off
I'd like to join together two tables, as shown below on A.id = B.source_id OR A.id = B.target_id into a new table C
The resulting table C should have the columns A.id, and either B.source_id or B.target_id - whichever was the unmatched column value. What would be an easy way to do that?
I've considered just duplicating table B but inverting source_id and target_id, then matching on just one of the columns but with large datasets (hundreds of millions of rows) that seems a bit impractical.
Would love your thoughts!
Table A
| id |
| ----|
| 123 |
| 456 |
| 789 |
Table B
| source_id | target_id | ... |
| ----------| --------- | ---- |
| 123 | 111 | misc |
| 222 | 456 | misc |
| 333 | 789 | misc |
Result: Table C
| A.id | new_id_column | ... |
| ---- | ------------- | ---- |
| 123 | 111 | misc |
| 456 | 222 | misc |
| 789 | 333 | misc |
Inverting the table is a good idea. But you can also use two left joins and coalesce() logic:
select a.id,
coalesce(bs.target_id, bt.source_id),
coaesce(bs.col1, bt.col1)
from a left join
b bs
on a.id = bs.source_id left join
b bt
on a.id = bt.target_id
I have a table in MS Access like:
table
+-----+-----+-----+
| 1st | 2nd | 3rd |
+-----+-----+-----+
| A | 1 | 100 |
| A | 2 | 200 |
| A | 3 | 300 |
| B | 1 | 100 |
| B | 2 | 200 |
| B | 3 | 300 |
| C | 1 | 100 |
| C | 2 | 200 |
| C | 3 | 300 |
+-----+-----+-----+
Now I want to read the values from the 3rd column, do some sort of manipulation to it and store them in to another table like:
summary
+-----+---------+---------+
| 1st | 2nd | 3rd |
+-----+---------+---------+
| A | 100/200 | 200/300 |
| B | 100/200 | 200/300 |
| C | 100/200 | 200/300 |
+-----+---------+---------+
In another words, for summary.2nd this means:
select table.3rd FROM table where table.1st = A AND table.2nd = 1
divided by
select table.3rd FROM table where table.1st = A AND table.2nd = 3
Can someone give me a hint how this could be done?
Maybe VBA / ADO Recordset etc?
One method is conditional aggregation:
select [1st],
max(iif([2nd] = 1, [3rd], null)) / max(iif([2nd] = 2, [3rd], null)) as [2nd],
max(iif([2nd] = 2, [3rd], null)) / max(iif([2nd] = 3, [3rd], null)) as [3rd]
from t
group by [1st];
Try this SQL
INSERT INTO Summary
SELECT DISTINCT a.[1st],
a.[3rd] / b.[3rd] AS [2nd],
a.[3rd] / c.[3rd] AS [3rd]
FROM ((tbl AS a
INNER JOIN tbl AS b
ON a.[1st] = b.[1st])
INNER JOIN tbl AS c
ON a.[1st] = c.[1st] )
WHERE a.[2nd] = 1
AND b.[2nd] = 2
AND c.[2nd] = 3
Here's another alternative, using calculated join criteria:
select
t1.[1st],
t1.[3rd]/t2.[3rd] as [2nd],
t2.[3rd]/t3.[3rd] as [3rd]
from
(
[table] t1 inner join [table] t2
on t1.[1st] = t2.[1st] and t1.[2nd] = t2.[2nd]-1
)
inner join [table] t3
on t1.[1st] = t3.[1st] and t1.[2nd] = t3.[2nd]-2
Since the 2nd column values 1, 2 & 3 are not hard-coded, this is applicable to any three integers in the 2nd column whose values differ sequentially by one.
Change [table] to the name of your table.
I have a question about JOIN.
TABLE A | TABLE B |
-----------------------------------------|
PK | div | PK | div | val |
-----------------------------------------|
A | a | 1 | a | 10 |
B | b | 2 | a | 100 |
C | c | 3 | c | 9 |
------------------| 4 | c | 99 |
-----------------------
There are two tables something like above, and I have been trying to join two tables but I want to see all rows from TABLE A.
Something like
SELECT T1.PK, T1.div, T2.val
FROM A T1
LEFT OUTER JOIN B T2
ON T1.div = T2.div
and I want the result would look like this below.
PK | div | val |
-------------------------
A | a | 10 |
A | a | 100 |
B | null | null |
C | c | 9 |
C | c | 99 |
I have tried all JOINs I know but B doesn't appear because it doesn't exist. Is it possible to show all rows on TABLE A and just show null if it doesn't exists on TABLE B?
Thanks in advance!
If you change your query to
SELECT T1.PK, T2.div, T2.val
FROM A T1
LEFT OUTER JOIN B T2
ON T1.div = T2.div
(Note, that div comes from T2 here.), you'll get exactly the result posted (but maybe in a different order, add an ORDER BY clause if you want a specific order).
Your query as it stands will get you:
PK | div | val |
-------------------------
A | a | 10 |
A | a | 100 |
B | b | null |
C | c | 9 |
C | c | 99 |
(Note, that div is b for the row with the PK of B, not null.)
To get to your resultset, all you need to do is use T2.Div as that is the value that does not exist in the second table:
SELECT T1.PK, T2.div, T2.val
FROM A T1
LEFT OUTER JOIN B T2
ON T1.div = T2.div
I have two tables in Access, Table A and Table B:
Table MasterLockInsNew:
+----+-------+----------+
| ID | Value | Date |
+----+-------+----------+
| 1 | 123 | 12/02/13 |
| 2 | 1231 | 11/02/13 |
| 4 | 1265 | 16/02/13 |
+----+-------+----------+
Table InitialPolData:
+----+-------+----------+---+
| ID | Value | Date |Type
+----+-------+----------+---+
| 1 | 123 | 12/02/13 | x |
| 2 | 1231 | 11/02/13 | x |
| 3 | 1238 | 10/02/13 | y |
| 4 | 1265 | 16/02/13 | a |
| 7 | 7649 | 18/02/13 | z |
+----+-------+----------+---+
All I want are the rows from table B for IDs not contained in A. My current code looks like this:
SELECT Distinct InitialPolData.*
FROM InitialPolData
WHERE InitialPolData.ID NOT IN (SELECT Distinct InitialPolData.ID
from InitialPolData INNER JOIN
MasterLockInsNew
ON InitialPolData.ID=MasterLockInsNew.ID);
But whenever I run this in Access it crashes!! The tables are fairly large but I don't think this is the reason.
Can anyone help?
Thanks
or try a left outer join:
SELECT b.*
FROM InitialPolData b left outer join
MasterLockInsNew a on
b.id = a.id
where
a.id is null
Simple subquery will do.
select * from InitialPolData
where id not in (
select id from MasterLockInsNew
);
Try using NOT EXISTS:
SELECT Distinct i.*
FROM InitialPolData AS i
WHERE NOT EXISTS (SELECT 1
FROM MasterLockInsNew AS m
WHERE m.ID = i.ID)
So I am wondering. I fell into an interesting suggestion from another developer. So i basically have two tables I join in a query and I want the resulting table from the query to have an extra column that comes from the table on from the joint.
Example:
#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 |
1 | 2 | 10-May-2014 | No |
2 | 1 | 15-May-2015 | Yes |
3 | 3 | 10-Apr-2014 | No |
4 | 1 | 21-Apr-2015 | Yes |
5 | 1 | 3-June-2015 | Yes |
6 | 2 | 5-May-2015 | No |
#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 | 4 |
5 | 1 | 3-June-2015 | 20 |
6 | 2 | 5-May-2015 | 3 |
This is what I have tried below:
Select MsID, PID, MatchDate, A-table.rating as Rating from B-table
left Join A-table
on B-table.PID = A-table.PID
where B-table.MatchDate > A-table.Datechange;
any help is appreciated. The solution can be in Vba as long as it returns something like a view/table I can manipulate using other queries or report.
Think of this in terms of sets of data... you need a set that lists the MAX dateChange for each player's and match date.
Soo...
SELECT MAX(A.DateChange) MDC, A.PID, B.Matchdate
FROM B-table B
INNER Join A-table A
on B.PID = A.PID
and A.DateChange <= B.MatchDate
GROUP BY A.PID, B.Matchdate
Now we take this and join it back to what you've done to limit the results in table A and B to ONLY those with that date player and matchDate (my inline table C)
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
I didn't create a sample for this using your data so it's untested but I believe the logic is sound...
Now Tested! SQL Fiddle using SQL server though...
My results don't match yours exactly. I think you're expected results are wrong though for MSID 4 given rules defined.