I have denormalized data (coming from a file) that needs to be imported into parent-child tables. The source data is something like this:
Account# Name Membership Email
101 J Burns Gold [email protected]
101 J Burns Gold [email protected]
101 J Burns Gold [email protected]
227 H Gordon Silver [email protected]
350 B Clyde Silver [email protected]
350 B Clyde Silver [email protected]
What are the pieces, parts, or tactics of SSIS I should use to read the first three columns into a parent table, and the 4th column (Email) into a child table? I have several options for the parent key which I am permitted to take:
- Directly use the Account# as the primary key
- Use a surrogate key generated by SSIS during the import process
- Configure an identity primary key
I'm sure I've listed my primary key options in increasing order of difficulty. I'd be interested in knowing how to do the first and the last option - I'll infer how to achieve the middle option. To emphasize again, I'm interested in a decidedly SSIS solution; I'm looking for an answer that uses the language of SSIS, rather than a procedural, technology neutral answer.
My question is somewhat similar to another SO question, having an answer of vague viability. I'm hoping more detailed guidance could be given. I already know how to solve this problem by creating a "staging" middle-step, where the parent-child separation is actually handled with straight SQL. However, I'm curious about how this can be done without that kind of middle-step.
It seems to me this kind of import would be so common, that there would be a well-published formulaic way to handle it - a technique that SSIS excels at. As yet, I've not quite seen any straight up answer to this.
Update #1
: Based on comments, I've adjusted the sample data to be more obviously denormalized. I also removed "flat" from "flat file," so that semantics don't interfere with the question.
Update #2
: I've amplified my interest in a solution spoken in the language of SSIS.
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