| Query goal: | Find names of domain constraints that are shorter than the length of the name of the domain + two characters. |
| Query type: | Problem detection (Each row in the result could represent a flaw in the design) |
| Query reliability: | Medium (Medium number of false-positive results) |
| Query license: | MIT License |
| Data source: | INFORMATION_SCHEMA only |
| SQL query: | Click on query to copy it
SELECT domain_schema, domain_name, constraint_name FROM INFORMATION_SCHEMA.domain_constraints WHERE domain_schema NOT IN (SELECT schema_name FROM INFORMATION_SCHEMA.schemata WHERE schema_name<>'public' AND schema_owner='postgres' AND schema_name IS NOT NULL) AND length(domain_name)+2>length(constraint_name) ORDER BY domain_schema, domain_name, constraint_name; |
| Collection name | Collection 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 . |
| Category name | Category description |
|---|---|
| CHECK constraints | Queries of this category provide information about CHECK constraints. |
| 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. |
| Naming | Queries of this category provide information about the style of naming. |
| Reference |
|---|
| The corresponding code smell in case of cleaning code is "N1: Choose Descriptive Names". (Robert C. Martin, Clean Code) |
| Smell "Meaningless name": Sharma, T., Fragkoulis, M., Rizou, S., Bruntink, M. and Spinellis, D.: Smelly relations: measuring and understanding database schema quality. In: Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, pp. 55-64. ACM, (2018). |