What is the difference between SQl Loader and OCI in datastage?
Answer Posted / roshan nayak
An addition of above info through sqlldr we load bulk data
for this we use ora bulk stage. In this we load data
through script so data loaded in form of package. But there
is some restriction also, when we load data (bulk) target
table should not have index. We generally load data in
table-partation like weekly,monthly. It is faster than OCI.
Where as through OCI we load data as sequence manar. we can
set buffer size as require to read or write data. Here no
need to remove index from table.
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How do you run datastage job from the command line?
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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