| Goal | This query identifies varchar columns in base tables whose names suggest they store national identification numbers (personal codes), specifically in tables that also include a country code column. This combination implies that the table stores personal codes from various countries. To safely accommodate different international formats, the field size of the personal code column should be at least 20 characters. The query flags any such columns that are too short. |
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| Notes | The query considers both column names in English and Estonian. |
| 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) |
| Fixing Suggestion | Change the field size of the column so that the field size is least 50. |
| Data Source | INFORMATION_SCHEMA only |
| 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:
Data types
Queries of this category provide information about the data types and their usage.
Result quality depends on names
Queries of this category use names (for instance, column names) to try to guess the meaning of a database object. Thus, the goodness of names determines the number of false positive and false negative results.
Validity and completeness
Queries of this category provide information about whether database design represents the world (domain) correctly (validity) and whether database design captures all the information about the world (domain) that is correct and relevant (completeness).
| Name | Description |
|---|---|
| Data types | Queries of this category provide information about the data types and their usage. |
| Result quality depends on names | Queries of this category use names (for instance, column names) to try to guess the meaning of a database object. Thus, the goodness of names determines the number of false positive and false negative results. |
| Validity and completeness | Queries of this category provide information about whether database design represents the world (domain) correctly (validity) and whether database design captures all the information about the world (domain) that is correct and relevant (completeness). |
Further reading and related materials: