| Goal | Find non-foreign key columns of base tables that probably (based on the column name) contain values that represent truth values but do not have a default value. There are only two truth values - TRUE and FALSE - in case of two-valued logic. It could be possible to select one of these as the default value in case of the columns. |
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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 | Low (Many false-positive results) |
| License | MIT (opens in new tab) |
| Fixing Suggestion | Determine as to whether there is markedly higher probability that a new row has one of the truth-values. If yes, then declare a default value. The default value can be directly associated with a column or it could be associated with a domain (if the column has been defined based on the domain). |
| Data Source | INFORMATION_SCHEMA+system catalog |
| 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
| 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 |
Categories
This query is classified under the following categories:
Boolean data
Queries of this category provide information about truth-values data that is kept in the database.
Comfortability of data management
Queries of this category provide information about the means that have been used to make the use or management of database more comfortable and thus, more efficient.
Default value
Queries of this catergory provide information about the use of default values.
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 |
|---|---|
| Boolean data | Queries of this category provide information about truth-values data that is kept in the database. |
| Comfortability of data management | Queries of this category provide information about the means that have been used to make the use or management of database more comfortable and thus, more efficient. |
| Default value | Queries of this catergory provide information about the use of default values. |
| 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). |