what is the difference between lookup stage reject link and
merge stage reject link in datastage Parallel jobs?
Answer Posted / dilip anand k
Look up has one Primary input and several reference inputs
and it supports an optional reject link that captures the
unmatched data looked up in the primary. (Rejected data in
the primary input and not the referential links)
Merge stage has one Master input and several update
datasets and it has a reject link for each update link
specified. So if we have ‘n’ no of update datasets then the
stage supports ‘n’ no. of reject links to capture the
unmatched records of the update link.
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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.
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length
100. It should contain a string of the form: “Level out of
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