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Input Data is:
Emp_Id, EmpInd
100, 0
100, 0
100, 0
101, 1
101, 1
102, 0
102, 0
102, 1
103, 1
103, 1
I want Output
100, 0
100, 0
100, 0
101, 1
101, 1
Means Indicator should either all ZEROs or all ONEs per
EmpId.
Impliment this using SQL and DataStage both.
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In DataStage:
SRC--->CPY---->JOIN----TFM---TGT
--------|---- /
--------|--- /
--------|-- /
--------|- /
--------AGG
In AGG, GROUP BY EmpId, calculate MIN and MAX for each
EmpId.
JOIN both one copy from CPY and 2nd Aggrigated copy from
AGG.
In TFM, put constraint: IF MIN=MAX, then populate to TGT
then u will get required output.
| Is This Answer Correct ? | 11 Yes | 0 No |
Answer / subhash
1. SQL:
SELECT * FROM
( SELECT EmpId, COUNT(*) AS CNT1 FROM EMP GROUP BY
EmpId) E1,
( SELECT EmpId, COUNT(*) AS CNT2 FROM EMP GROUP BY
EmpId, EmpInd) E2,
WHERE E1.EmpID = E2.EmpId AND
E1.CNT1 = E2.CNT2;
2.DataStage:
SRC--->CPY---->JOIN----TFM---TGT
| /
| /
| /
| /
AGG
In AGG, GROUP BY EmpId, calculate CNT and SUM.
JOIN both one copy from CPY and 2nd Aggrigated copy from
AGG.
In TFM, put constraint: IF CNT=SUM, then populate to TGT
then u will get required output.
| Is This Answer Correct ? | 5 Yes | 2 No |
Answer / akila ramu
DB--->Transformer--->Output File
Sample data propagation through these stages:
In table->DB stage--->Tfm----->outputfile
101 0---->100 0 2 2-->100 0
100 0---->101 0 2 1-->100 0
101 1---->101 1 2 1
100 0
DB: Use the bvelow query in this stage
select emp_id, ind, count(emp_id) c1, count(emp_id ind) c2
from table_name
group by emp_id, ind
order by emp_id, ind
So similar empid-ind are grouped and the count of each
empid-ind pair is also sent in a seperate column c2. The
count of each emp_id is sent in c1.
Tfm: Output link Contraint:c1=c2
Looping contraint: @ITERATION<=c2
Looping variables: l_empid=emp_id
l_ind=ind
Pass these two looping variables as the emp_id and the ind
to the output file.
| Is This Answer Correct ? | 3 Yes | 1 No |
Answer / lb14447
The sql query would be
SELECT * FROM EMPTEST WHERE EMP_ID IN (SELECT EMP_ID FROM EMPTEST GROUP BY EMP_ID HAVING SUM(EMP_IND)/COUNT(EMP_IND) = 0
OR SUM(EMP_IND)/COUNT(EMP_IND) = 1);
Datastage implementation:
SRC --> CPY ----> AGG---> FILTER
- |
- |
- |
- |
- |
--------> Look up ----> TGT
In the Aggregator stage calculate the Sum and Count fields.In the filter stage bypass the unwanted records using Sum and Count calculated in Aggr stage.
| Is This Answer Correct ? | 1 Yes | 0 No |
Answer / mahalakshmi
SRC--SRT---FLT---|
| LKP
CPY---| |
| |
|__FNL_|
|
TGT
1.In Sort Stage (Keys on Empid & Emp Ind), Create Key
changeColumn = True
2. In Filter WhereClause-(Keychange=0)OutputLink=0
WhereClause-(Keychange=1)OutputLink=1
3.In Lookup InnerJoin on EmpId
4.In Funnel, Funnel Type=Sorted Funnel
| Is This Answer Correct ? | 1 Yes | 0 No |
Ok
1) sql:
select empno, rank() over(order by empno) Ind from e2;
then we get:
100 1
100 1
100 1
101 2
101 2
103 3
2) Datastage:
sequl file-->sort-->tx--> Target.
@sort:
create keychange column then we get
100 0
100 1
100 1
101 0
101 1
101 1
102 0
102 1
103 0
@ Tx use two stage variables:
sv1 integer = 0 value
sv2 integer = 0 value
and at derivations :
assign
1) keychange ---> sv1
2) if sv1=0 then sv2+1 else sv2 ----> sv2
map the columns empno and sv2
and we get the results.
Thats it.
shar
| Is This Answer Correct ? | 1 Yes | 1 No |
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