Validation and Constraints
Validation and constraints in POCO DataSet ensure that data is meaningful, consistent, and
aligned with schema expectations. While POCO DataSet does not enforce
validation internally, it provides metadata structures that allow applications,
UI layers, and business logic services to interpret and apply validation rules dynamically.
Purpose of Validation
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Ensure that values conform to column definitions.
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Enable dynamic UI validation in frameworks such as Blazor.
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Support rule-driven applications by providing metadata hints.
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Prevent invalid data from being submitted to backend services.
Types of Constraints
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Data type constraints (e.g., integer, string, date).
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Length or precision constraints (for numeric or text fields).
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Required/not-null constraints.
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Uniqueness constraints (for identity columns).