How rejected rows are managed in datastage?


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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 &#8722; min_lvl between 0 and 25 inclusive. &#8722; Same column types and headings as Jobs.txt. &#8722; Include column names in the first line of the output file. &#8722; 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 &#8722; min_lvl between 26 and 100 inclusive. &#8722; Same format and derivations as Target file 1. • Target file 3: HighLevelJobs.txt &#8722; min_lvl between 101 and 500 inclusive. &#8722; Same format and derivations as Target file 1. • Rejects file: JobRejects.txt &#8722; min_lvl is out of range, i.e., below 0 or above 500. &#8722; This file has only two columns: job_id and reject_desc. &#8722; reject_desc is a variable-length text field, maximum length 100. It should contain a string of the form: “Level out of range: <min_lvl>”, where <min_lvl> 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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Drop duplicate records ... SOURCE LIKE .......... ID flag1 flag2 100 N Y 100 N N 100 Y N 101 Y Y 101 N Y 102 Y N 103 N N 104 Y Y 105 N N 106 N Y 102 N Y 105 Y Y in above file if any id having both the flags as "N" then that corresponding id records should be dropped, in above case o/p should be as ID flag1 flag2 101 Y Y 101 N Y 102 Y N 102 N Y 104 Y Y 106 N Y Steps to do : 1) Identified the id’s that got duplicated (both the flag values having vales “N”) 2) Look up with these id’s to existing id’s to drop .

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Hi Friends, I have a input data like, class_id Marks 101 50 101 60 101 40 102 90 102 35 And i want my output data like class_id Marks Rank 101 50 2 101 60 1 101 40 3 102 90 1 102 35 2 how to do this in datastage?

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