Check Model checks the consistency of objects within a model. Both code generation and database generation require a consistent model. Check Model on the mainframe uses the same rule base as Consistency Check on the workstation. This rule base verifies that the model or subset satisfies over 400 rules. Both checks identify two types of problems, warnings and errors.
A data model error must be corrected before you can transform the data model to a Design data structure. Design errors must be corrected before you perform code generation.
A warning occurs when context is important. For example, if you must do X to implement Y, you might get a warning on X but still be able to perform transformation and code generation.
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