Answer Posted / srinivas
Dataset is a file which can be used for stored data as intermediate result.
Compared to other files processing is fast by using the Dataset because its internal format is DataStage support format.
Most of the times we can use this as intermediate data storage.
One added advantage is node system we can use multiple nodes
in dataset.
We have lot of uses by using this file dataset.
In server edition we have hashfile same way in parllel edition we will use DataSet.
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How to Remove Duplicate using SQL?
There are two file are there .1st file contains 5 records and 2nd file contain 10 records in target they want 50 records.how can achieve this
what should be ensure to run the sequence job so that if its get aborted in 10th job before 9job should get succeeded?
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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CHANGE CAPTURE
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