What is the method of removing duplicates, without the remove duplicate stage?

652

How do you run datastage job from the command line?

674

How to read the length of word in unix?

952

What are constraints and derivations?

736

How will you load you daily/monthly jobs datas in to Fact and Dimension table using datastage.

3076

What are the types of jobs we have in datastage?

741

how to read 100 records at a time in source a) hw is it fr metadata Same and b) if metadata is nt same?

1791

What is the difference between informatica and datastage?

724

Why fact table is in normal form?

748

What are the types of containers?

773

Can you filter data in hashed file?

3426

What is a quality stage in datastage tool?

700

How can we improve the performance in datastage?

726

Can you explain link buffering?

802

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: ”, where is the value in the min_lvl field. My Question is how do you write the stage variable for reject rows.

2268