What are the prerequisites for join stage
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1.Inputs as left right and intermediate links(files).
2.can do left outer,right outer,inner join and full outer join
3.N inputs for left,right and inner but 2 inputs for full outer.
4.Inputs should be sorted and partitioned for better
performance.
5.Removing duplicates is optional as join operation is
highly optimized which sequential and less i/o and less page
faults.
6.Memory requirements are comparatively less than Lookup stage.
7.In join key columns names should be same in primary and
secondary datasets.
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i have 3 diffrent tables. 1) US rate data 2)CANADA rate data and 3)MEXICO rate data. All 3 tables have 6 collumns each. 4 collumns are commun to all tables and 2 are diffrent. Now at target i want single table say Country rate which will have (4+2+2+2+1 flag) 11 collumns. I will add a flag collumn which will indicate country and will put nullable collumns which are not common to other. How i can implement this in datastage?
5) A file contains 10 (1-10) I want trgt like Trgt 1 trgt 2 trgt 3 1 2 3 4 5 6 7 8 9 10
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I have 5 different sources i want same records in 5 different targets Can you any body send me this question answer rathdsetl@gmail.com
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