Answer Posted / vinod upputuri

Venkatesh is Absolutely right but unfinished. After remove
duplicate stage we have to use either column import stage or
transformer stage.

SEQ>>>TRANS>>>REMOVEDUPLICATE>>>COLUMNIMPORT/TRANSFORMER>>>TARGET

if Transformer: use field function in derivation

for company1: field(company,',',1)
company2: filed(company,',',2)

for column import stage: specify the key column: company
default delimeter: ','
columns: company1 and company2

explain about citrix scheduling tool in datastage

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what are the devoleper roles in real time? plz tell i am new to datastage....

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Define data aggregation?

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Hi everyone,I have kept a project Sales And Distribution for a pharmaceutical company.can anybody explain one complex business rule that we had in our project and how did you accomplish it using DS?

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create a job that splits the data in the Jobs.txt file into four output files. You will direct the data to the different output files using constraints. • Job name: JobLevels • Source file: Jobs.txt • Target file 1: LowLevelJobs.txt − min_lvl between 0 and 25 inclusive. − Same column types and headings as Jobs.txt. − Include column names in the first line of the output file. − Job description column should be preceded by the string “Job Title:” and embedded within square brackets. For example, if the job description is “Designer”, the derived value is: “Job Title: [Designer]”. • Target file 2: MidLevelJobs.txt − min_lvl between 26 and 100 inclusive. − Same format and derivations as Target file 1. • Target file 3: HighLevelJobs.txt − min_lvl between 101 and 500 inclusive. − Same format and derivations as Target file 1. • Rejects file: JobRejects.txt − min_lvl is out of range, i.e., below 0 or above 500. − This file has only two columns: job_id and reject_desc. − reject_desc is a variable-length text field, maximum length 100. It should contain a string of the form: “Level out of range: ”, where is the value in the min_lvl field. My Question is how do you write the stage variable for reject rows.

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Name the different sorting methods in datastage.

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