Where data sets breaks down...
Another thing that came up in conversation today, a very good example of where the data set model breaks down. Take a look at the following (highly simplified) tables:
Each type of employee gets a different salary calculation for overtime per the (current) salary type:
Global | Hourly | Global + Hourly | |
Manager | None | 15% over hourly rate | 15% over hourly rate, to a max of totally 20% of monthly salary over a calendar month |
Employee | None | 12% over hourly rate | 12% precentage |
Freelance | 10$ hour | 9% over hourly rate | 10$ hour or 9% over hourly rate, lowest one |
Given the above business rules, how do you propose to write the AddOverTime() method using the dataset model in a maintainable fashion? There will be additonal employee types and additional salary types in the future.
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