I have scenario like this seq file --> transformer --> sort
stage --> dataset
In this job which prtitioning technique you are using and
why???
Answer Posted / bharath
Hash or Modulus partitioning
better go for hash becoz based on keyed partitioning is
best for the sort...
| Is This Answer Correct ? | 5 Yes | 1 No |
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Differentiate between datastage and datastage tx?
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:
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hi iam new to this tooliam cmpltied to know abt datastage so now iam in project tell me whole step by step what iam doing iwnt to go with exp so plz hlp me pals
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