Avoid repeated values in a join - sql

I have two tables - a header and a matrix/details.
*Header Table* *Matrix / Details Table*
+----+--------+-----+ +----+--------+------+
| ID | Parent | Qty | | ID | Child | Qty |
+----+--------+-----+ +----+--------+------+
| 1 | A | 10 | | 1 | X | 100 |
| 2 | B | 20 | | 1 | Y | 1000 |
| 3 | C | 30 | | 2 | X | 200 |
+----+--------+-----+ | 2 | Y | 2000 |
| 3 | X | 30 |
| 3 | Y | 300 |
| 3 | Z | 3000 |
+----+--------+------+
I'm Joining these two tables based on ID.
I don't want the result to have duplicated values from header table.
I expect a result like following:
*Current Result* *Expected Result*
+----+--------+-----+-------+------+ +----+--------+-----+-------+------+
| ID | Parent | Qty | Child | Qty | | ID | Parent | Qty | Child | Qty |
+----+--------+-----+-------+------+ +----+--------+-----+-------+------+
| 1 | A | 10 | X | 100 | | 1 | A | 10 | X | 100 |
| 1 | A | 10 | Y | 1000 | | | | | Y | 1000 |
| 2 | B | 20 | X | 200 | | 2 | B | 20 | X | 200 |
| 2 | B | 20 | Y | 2000 | | | | | Y | 2000 |
| 3 | C | 30 | X | 30 | | 3 | C | 30 | X | 30 |
| 3 | C | 30 | Y | 300 | | | | | Y | 300 |
| 3 | C | 30 | Z | 3000 | | | | | Z | 3000 |
+----+--------+-----+-------+------+ +----+--------+-----+-------+------+
Is this possible? If not any, alternate solution available?
Thanks in advance...

If you are using SQL Server,Try with the below query.
;WITH CTE_1
AS
(SELECT *,ROW_NUMBER()OVER(PARTITION BY ID,Parent,Quantity ORDER BY ID ) RNO
FROM Header H
JOIN [Matrix / Details] M
ON H.ID=M.ID)
SELECT CASE WHEN RNO=1 THEN CAST(ID as VARCHAR(50)) ELSE '' END ID,
CASE WHEN RNO=1 THEN Parent ELSE '' END Parent,
CASE WHEN RNO=1 THEN cast(Quantity as VARCHAR(50)) ELSE '' END Quantity,
Child,Qty
FROM CTE_1
ORDER BY ID,Parent,Quantity

Related

SQL how to find a multi column maximum in a group?

How can I write an SQL query (DB2) that will run on this table:
| A | B | C | V |
+---+---+---+----+
| | | | |
| 1 | 1 | 1 | k1 |
| | | | |
| 1 | 1 | 2 | k1 |
| | | | |
| 1 | 2 | 3 | k2 |
| | | | |
| 2 | 3 | 4 | k2 |
| | | | |
| 1 | 2 | 3 | k3 |
| | | | |
| 1 | 3 | 5 | k3 |
| | | | |
| 1 | 4 | 6 | k3 |
+---+---+---+----+
and produce this result
+---+---+---+----+
| A | B | C | V |
+---+---+---+----+
| | | | |
| 1 | 1 | 2 | k1 |
| | | | |
| 2 | 3 | 4 | k2 |
| | | | |
| 1 | 4 | 6 | k3 |
+---+---+---+----+
that is it will select rows based on a max of a "tuple" (A,B,C) in a group:
or for two rows R1, R2 :
if R1.A <> R2.A return Row where A = Max(R1.A,R2.A)
if R2.B <> R2.B return Row where B = Max(R1.B,R2.B)
return Row where C = Max(R1.C,R2.C)
I think row_number() does what you want -- if by "group" you mean V:
select t.*
from (select t.*,
row_number() over (partition by v order by a desc, b desc, c desc) as seqnum
from t
) t
where seqnum = 1;

How do I get around aggregate function error?

I have the following sql to calculate a % total:
SELECT tblTourns_atp.ID_Ti,
Sum([FS_1]/(SELECT Sum(FSOF_1)
FROM stat_atp
WHERE stat_atp.ID_T = tblTourns_atp.ID_T)) AS S1_IP
FROM stat_atp
INNER JOIN tblTourns_atp ON stat_atp.ID_T = tblTourns_atp.ID_T
GROUP BY tblTourns_atp.ID_Ti
I'm getting the 'aggregate error' because it wants the ID_T fields either grouped or in an aggregate function. I've read loads of examples but none of them seem to apply when the offending field is the subject of 'WHERE'.
Tables and output as follows:
+----------+------+--------+--+---------------+-------+--+--------+--------+
| stat_atp | | | | tblTourns_atp | | | Output | |
+----------+------+--------+--+---------------+-------+--+--------+--------+
| ID_T | FS_1 | FSOF_1 | | ID_T | ID_Ti | | ID_Ti | S1_IP |
| 1 | 20 | 40 | | 1 | 1 | | 1 | 31.03% |
| 2 | 30 | 100 | | 2 | 1 | | 2 | 28.57% |
| 3 | 40 | 150 | | 3 | 1 | | 3 | 33.33% |
| 4 | 30 | 100 | | 4 | 2 | | | |
| 5 | 30 | 100 | | 5 | 2 | | | |
| 6 | 40 | 150 | | 6 | 2 | | | |
| 7 | 20 | 40 | | 7 | 3 | | | |
| 8 | 30 | 100 | | 8 | 3 | | | |
| 9 | 40 | 150 | | 9 | 3 | | | |
| 10 | 20 | 40 | | 10 | 3 | | | |
+----------+------+--------+--+---------------+-------+--+--------+--------+
Since you already have an inner join between the two tables, a separate subquery isn't required:
select t.id_ti, sum(s.fs_1)/sum(s.fsof_1) as pct
from tbltourns_atp t inner join stat_atp s on t.id_t = s.id_t
group by t.id_ti

Group selection by value of some fields

I have a following selection:
| EmployeeId | DepartmentName | Salary |
----------------------------------------
| 1 | A | 10 |
| 2 | A | 10 |
| 3 | A | 15 |
| 4 | A | 20 |
| 5 | A | 20 |
| 6 | B | 15 |
| 7 | B | 25 |
| 8 | B | 25 |
I want to group all rows by salary in each department and add this number of group to the selection.
Example of the result selection:
| EmployeeId | DepartmentName | Salary | Group |
------------------------------------------------
| 1 | A | 10 | 1 |
| 2 | A | 10 | 1 |
| 3 | A | 15 | 2 |
| 4 | A | 20 | 3 |
| 5 | A | 20 | 3 |
| 6 | B | 15 | 1 |
| 7 | B | 25 | 2 |
| 8 | B | 25 | 2 |
SELECT *
, DENSE_RANK() OVER (PARTITION BY DepartmentName
ORDER BY Salary) AS [Group]
FROM TableName

how to write a query to get multilevel data

I have four tables as below:
tblAccount
Id i sprimary key
+----+-----------------+
| Id | AccName |
+----+-----------------+
| 1 | AccountA |
| 2 | AccountB |
+----+-----------------+
tblLocation
Id is primary key.
+----+---------------+
| Id | LocName |
+----+---------------+
| 1 | LocationA |
| 2 | LocationB |
| 3 | LocationC |
+----+---------------+
tblAccountwiseLocation
Id i sprimary key.LocId and AccId are foreign key.
+----+---------------+---------------+
| Id | LocId | AccId |
+----+---------------+---------------+
| 1 | 1 | 1 |
| 2 | 2 | 1 |
| 3 | 3 | 1 |
| 4 | 1 | 2 |
| 5 | 2 | 2 |
| 6 | 3 | 2 |
+----+---------------+---------------+
tblRSCMaster
Id i sprimary key.LocId and AccId are foreign key.
+----+---------------+---------------+----------------+------------------+
| Id | LocId | AccId | RSCNo | DateOfAddition |
+----+---------------+---------------+----------------+------------------+
| 1 | 1 | 1 | Acc1_Loc1_1_14 | 15/01/2014 |
| 2 | 2 | 1 | Acc1_Loc2_1_14 | 15/01/2014 |
| 3 | 3 | 1 | Acc1_Loc2_1_14 | 15/01/2014 |
| 4 | 1 | 2 | Acc2_Loc1_1_14 | 15/01/2014 |
| 5 | 2 | 2 | Acc2_Loc2_1_14 | 15/01/2014 |
| 6 | 3 | 2 | Acc2_Loc3_1_14 | 15/01/2014 |
| 7 | 1 | 1 | Acc1_Loc1_2_14 | 15/02/2014 |
| 8 | 2 | 1 | Acc1_Loc2_2_14 | 15/02/2014 |
| 9 | 3 | 1 | Acc1_Loc3_2_14 | 15/02/2014 |
| 10 | 1 | 2 | Acc2_Loc1_2_14 | 15/02/2014 |
| 11 | 2 | 2 | Acc2_Loc2_2_14 | 15/02/2014 |
| 12 | 3 | 2 | Acc2_Loc3_2_14 | 15/02/2014 |
| 13 | 1 | 1 | Acc1_Loc1_3_14 | 15/03/2014 |
| 14 | 2 | 1 | Acc1_Loc2_3_14 | 15/03/2014 |
| 15 | 3 | 1 | Acc1_Loc3_3_14 | 15/03/2014 |
| 16 | 1 | 2 | Acc2_Loc1_3_14 | 15/03/2014 |
| 17 | 2 | 2 | Acc2_Loc2_3_14 | 15/03/2014 |
| 18 | 3 | 2 | Acc2_Loc3_3_14 | 15/03/2014 |
| 19 | 1 | 1 | Acc1_Loc1_4_14 | 15/04/2014 |
| 20 | 2 | 1 | Acc1_Loc2_4_14 | 15/04/2014 |
| 21 | 3 | 1 | Acc1_Loc3_4_14 | 15/04/2014 |
| 22 | 1 | 2 | Acc2_Loc1_4_14 | 15/04/2014 |
| 23 | 2 | 2 | Acc2_Loc2_4_14 | 15/04/2014 |
| 24 | 3 | 2 | Acc2_Loc3_4_14 | 15/04/2014 |
| 25 | 1 | 1 | Acc1_Loc1_5_14 | 15/05/2014 |
| 26 | 2 | 1 | Acc1_Loc2_5_14 | 15/05/2014 |
| 27 | 3 | 1 | Acc1_Loc3_5_14 | 15/05/2014 |
| 28 | 1 | 2 | Acc2_Loc1_5_14 | 15/05/2014 |
| 29 | 2 | 2 | Acc2_Loc2_5_14 | 15/05/2014 |
| 30 | 3 | 2 | Acc2_Loc3_5_14 | 15/05/2014 |
+----+---------------+---------------+----------------+------------------+
Acc1_Loc1_1_14 resembles RSC for LocationA of AccountA for Jan 2014.
I need to get a output as below from tblRSCMaster.
+---------------+---------------+----------------+------------------+
| LocId | AccId | RSCNo | DateOfAddition |
+---------------+---------------+----------------+------------------+
| 1 | 1 | Acc1_Loc1_3_14 | 15/03/2014 |
| 1 | 1 | Acc1_Loc1_4_14 | 15/04/2014 |
| 1 | 1 | Acc1_Loc1_5_14 | 15/05/2014 |
| 2 | 1 | Acc1_Loc2_3_14 | 15/03/2014 |
| 2 | 1 | Acc1_Loc2_4_14 | 15/04/2014 |
| 2 | 1 | Acc1_Loc2_5_14 | 15/05/2014 |
| 3 | 1 | Acc1_Loc3_3_14 | 15/03/2014 |
| 3 | 1 | Acc1_Loc3_4_14 | 15/04/2014 |
| 3 | 1 | Acc1_Loc3_5_14 | 15/05/2014 |
+---------------+---------------+----------------+------------------+
Each account has multiple locations and each location has multiple RSCs.
I need to get last three RSCs for each location for AccountA.
I have tried the below query:
SELECT tblAccountwiseLocation.LocId,tblAccountwiseLocation.AccId,tblRSCMaster.RSCNo,tblRSCMaster.DateOfAddition FROM tblAccountwiseLocation
INNER JOIN tblRSCMaster ON tblAccountwiseLocation.LocId= tblRSCMaster.LocId
where tblRSCMaster.AccId=1
But not getting the proper output.
Please help me out.
Thank you all in advance.
You can wrap the existing query inside a common table expression, and use ROW_NUMBER() to get only the last 3 (by tblRSCMaster.DateOfAddition) entries per tblAccountwiseLocation.LocId.
WITH cte AS (
SELECT tblAccountwiseLocation.LocId,
tblAccountwiseLocation.AccId,
tblRSCMaster.RSCNo,
tblRSCMaster.DateOfAddition,
ROW_NUMBER() OVER (PARTITION BY tblAccountwiseLocation.LocId
ORDER BY tblRSCMaster.DateOfAddition DESC) rn
FROM tblAccountwiseLocation
INNER JOIN tblRSCMaster
ON tblAccountwiseLocation.LocId = tblRSCMaster.LocId
AND tblAccountwiseLocation.AccId = tblRSCMaster.AccId
WHERE tblRSCMaster.AccId=1
)
SELECT LocId, AccId, RSCNo, DateOfAddition
FROM cte
WHERE rn <= 3
ORDER BY LocId, AccId, DateOfAddition
An SQLfiddle to test with.
Is this what you need?
select m.*
from (select m.*, row_number() over (partition by accID
order by DateOfAddition desc) as seqnum
from tblRSCMaster
where m.locid = 1
) m
where seqnum <= 3
order by AccId, DateOfAddition;
I think you need to filter on the locid rather than on the AccId to get what you want.

Ask about query in sql server

i have table like this:
| ID | id_number | a | b |
| 1 | 1 | 0 | 215 |
| 2 | 2 | 28 | 8952 |
| 3 | 3 | 10 | 2000 |
| 4 | 1 | 0 | 215 |
| 5 | 1 | 0 |10000 |
| 6 | 3 | 10 | 5000 |
| 7 | 2 | 3 |90933 |
I want to sum a*b where id_number is same, what the query to get all value for every id_number? for example the result is like this :
| ID | id_number | result |
| 1 | 1 | 0 |
| 2 | 2 | 523455 |
| 3 | 3 | 70000 |
This is a simple aggregation query:
select id_number, sum(a*b)
from t
group by id_number
I'm not sure what the first column is for.