Answer / siva

Take the mapping as (suppose the columns as C1, c2)
SD --> SQ --> Exp --> Agg --> Tgt
In exp define as
c1 <-- c1
c2 <-- c2
v_2 <-- IIF(c1 = v_1,TO_CHAR(v_2) || ', ' || TO_CHAR
(c2),TO_CHAR(c2))
v_1 <-- c1
o_p1 <-- v_2
In Agg
Group by c1
c2 <-- v_2
c11 <-- LAST(c1)
Tgt is connected as
c1 <-- c11
c2 <-- c2

v_ stands for variable port and o_ stands for output port

I think it can be understood by you

Thanks for your response

Answer / siva

Use 2 variables one for counter and another for value.
sort all the records by c1 and keep track on c1 and hold
the value in v1. When the v1 and c1 are equal, then
concatenate c2 with v2 other assign c2 with v2. Finaly
connct to aggregator and take last value by grouping the
records by c1.


This will work..

Answer / shekhar

can u just explain in detail the concatenation part.

Answer / ganesh yadav

using Normalizer Transformation we can convert the multiple
columns as multiple rows, multiple rows as multiple columns...
rows: 1 1 1 2 2 2
a b c a b c
answer
column wise
1 a b c
2 a b c

Answer / swetha

Thru Normalizer t/r we can acheieve this.

What you know about transaction control transformation?

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There are 2 files, Master and User. We need to compare 2 files and prepare a output log file which lists out missing Rolename for each UserName between Master and User file. Please find the sample data- MASTER.csv ---------- Org|Tmp_UsrID|ShortMark|Rolename ---|---------|----------|------------ AUS|0_ABC_PW |ABC PW |ABC Admin PW AUS|0_ABC_PW |ABC PW |MT Deny all GBR|0_EDT_SEC|CR Edit |Editor GBR|0_EDT_SEC|CR Edit |SEC MT103 GBR|0_EDT_SEC|CR Edit |AB User USER.csv -------- Org|UserName|ShortMark|Rolename ---|--------|---------|------------ AUS|charls |ABC PW |ABC Admin PW AUS|amudha |ABC PW |MT Deny all GBR|sandya |CR Edit |Editor GBR|sandya |CR Edit |SEC MT103 GBR|sandya |CR Edit |AB User GBR|sarkar |CR Edit |Editor GBR|sarkar |CR Edit |SEC MT103 Required Output file: --------------------- Org|Tmp_UsrID|UserName|Rolename |Code ---|---------|--------|------------|-------- AUS|0_ABC_PW |charls |ABC Admin PW|MATCH AUS|0_ABC_PW |charls |MT Deny all |MISSING AUS|0_ABC_PW |amudha |ABC Admin PW|MISSING AUS|0_ABC_PW |amudha |MT Deny all |MATCH GBR|0_EDT_SEC|sandya |Editor |MATCH GBR|0_EDT_SEC|sandya |SEC MT103 |MATCH GBR|0_EDT_SEC|sandya |AB User |MATCH GBR|0_EDT_SEC|sarkar |Editor |MATCH GBR|0_EDT_SEC|sarkar |SEC MT103 |MATCH GBR|0_EDT_SEC|sarkar |AB User |MISSING Both the files are mapped through Organization, Shor_mark. So, based on each Organization, Short_Mark, for each UserName from User.csv, we need to find the Matching and Missing Rolename. I am able to bring Matching records in the output. But really I don't find any concept or logic to achieve "MISSING" records which are present in Master and not in User.csv for each UserName. Please help out guys. Let me know if you need any more information. Note:- In User.csv file, there are n number of Organization, under which n number Shortmark comes which has n number of UserName.

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Design a mapping to get year of join for each employee.

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