The Source coloumns are A,B,C with data row1- 10,20,30 row2-
40,50,60 row3-70,80,90 and so on. In the target I want one
coloumn with the following data, Coloumn-X, row1-10,row2-
20,row3-30,row4-40,row5-50 and so on. How to achieve this?
Answers were Sorted based on User's Feedback
Answer / babu
Hi All,
By using Normalizer Transformation we will achive this.
Mapping:
========
Src==>SQ==>Nrm(Normalizer)==>Srt(sorter)==>Trg
Nrm:Column(Occerence 3)
Column1 (inputport)
Column2 (inpuport)
Column3 (inputport)
Column (outputport)===> Srt ==>Trg
| Is This Answer Correct ? | 12 Yes | 1 No |
Answer / swapnil
no need to use normalizer here, take 3 expression and 3
instance of target.
Create 3 expression transformations exp_1,exp_2 and exp_3
with 1 port each. Connect col1 from Source Qualifier to
port in exp_1.Connect col2 from Source Qualifier to port in
exp_2.Connect col3 from source qualifier to port in exp_3.
Make 3 instances of the target. Connect port from exp_1 to
target_1. Connect port from exp_2 to target_2 and connect
port from exp_3 to target_3.
| Is This Answer Correct ? | 6 Yes | 1 No |
Answer / kuldeep singh rathore
Create 3 expression transformations exp_1,exp_2 and exp_3
with 1 port each. Connect col1 from Source Qualifier to
port in exp_1.Connect col2 from Source Qualifier to port in
exp_2.Connect col3 from source qualifier to port in exp_3.
and we merge all output of all 3 expressions by UNION trans
and direct load to tgt from union
| Is This Answer Correct ? | 0 Yes | 0 No |
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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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