Explain the scenarios where sequential file stage runs in parallel?
Answer Posted / datastage4you
Scenario -
When we have to read the data from multiple files following the same format, we can enable this option (multiple reader)
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if i have two tables table1 table2 1a 1a,b,c,d 1b 2a,b,c,d,e 1c 1d 2a 2b 2c 2d 2e how can i get data as same as in tables? how can i implement scd typ1 and type2 in both server and in parallel? field1 field2 field3 suresh , 10,324 , 355 , 1234 ram , 23,456 , 450 , 456 balu ,40,346,23 , 275, 5678 how to remove the duplicate rows,inthe fields?
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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