| Goal | This query identifies inconsistencies in data validation for columns that share the same name across different tables. It flags cases where a conceptual data element (e.g., 'email', 'postal_code') is subject to a CHECK constraint in some tables but lacks one in others. This violates the principle of uniform data integrity, creates semantic ambiguity, and can allow invalid data to enter the system through the unconstrained columns. |
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| Type | Problem detection Each row in the result could represent a flaw in the design |
| Reliability | Medium Medium number of false-positive results |
| License | MIT (opens in new tab) |
| Data Source | INFORMATION_SCHEMA+system catalog |
| SQL Query |
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Fixing Suggestion
Make sure that you have not forgotten any CHECK constraint. The ideal remediation is often to define a DOMAIN with the CHECK constraint, ensuring that the validation logic is centralized and consistently applied wherever the data type is used.
Collections
This query belongs to the following collections:
Find problems automatically
Queries, that results point to problems in the database. Each query in the collection produces an initial assessment. However, a human reviewer has the final say as to whether there is a problem or not .
| Name | Description |
|---|---|
| Find problems automatically | Queries, that results point to problems in the database. Each query in the collection produces an initial assessment. However, a human reviewer has the final say as to whether there is a problem or not . |
Categories
This query is classified under the following categories:
CHECK constraints
Queries of this category provide information about CHECK constraints.
Inconsistencies
Queries of this catergory provide information about inconsistencies of solving the same problem in different places.
| Name | Description |
|---|---|
| CHECK constraints | Queries of this category provide information about CHECK constraints. |
| Inconsistencies | Queries of this catergory provide information about inconsistencies of solving the same problem in different places. |