| Goal | This query audits the database for inconsistent column naming conventions, specifically focusing on non-generic, domain-specific attributes (excluding primary keys, foreign keys, and generic fields like 'comment'). It detects a hybrid naming strategy: some columns are prefixed with the table name (e.g., employee_salary) and others are not (e.g., hiring_date). This inconsistency suggests a lack of a standardized data dictionary, making query writing unpredictable. |
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| Notes | The query considers both column names in English and Estonian. The query lists both column names that begin with the table name and column names that do not. |
| 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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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:
Inconsistencies
Queries of this catergory provide information about inconsistencies of solving the same problem in different places.
Naming
Queries of this category provide information about the style of naming.
| Name | Description |
|---|---|
| Inconsistencies | Queries of this catergory provide information about inconsistencies of solving the same problem in different places. |
| Naming | Queries of this category provide information about the style of naming. |