| Goal | Specify for each column/domain a right data type that takes into account expected values in the column/domain. Find base table columns and domains that have a textual type but the default value that represents a number (for instance, '100', '2', or '0.22'). Exclude columns about formats. |
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| Notes | The query considers both column names in English and Estonian. The query finds default values that are associated directly with a base table column as well as default values that are specified through a domain. The query does not find default values of domains that are not associated with any table. |
| 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 data type of the column/domain. If the default value represents an integer value (for instance, 100), then change the type to SMALLINT, INTEGER, or BIGINT. If the default value represents a fixed-point value (for instance, '0.22'), then change the type to DECIMAL/NUMERIC. |
| Data Source | INFORMATION_SCHEMA only |
| SQL Query |
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Collections
This query belongs to the following collections:
Find problems about base tables
A selection of queries that return information about the data types, field sizes, default values as well as general structure of base tables. Contains all the types of queries - problem detection, software measure, and general overview
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 about base tables | A selection of queries that return information about the data types, field sizes, default values as well as general structure of base tables. Contains all the types of queries - problem detection, software measure, and general overview |
| 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:
Comfortability of database evolution
Queries of this category provide information about the means that influence database evolution.
Data types
Queries of this category provide information about the data types and their usage.
Default value
Queries of this catergory provide information about the use of default values.
Domains
Queries of this category provide information about reusable specifications of column properties.
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 |
|---|---|
| Comfortability of database evolution | Queries of this category provide information about the means that influence database evolution. |
| Data types | Queries of this category provide information about the data types and their usage. |
| Default value | Queries of this catergory provide information about the use of default values. |
| Domains | Queries of this category provide information about reusable specifications of column properties. |
| 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). |