Goal Find names of domain constraints that are shorter than the length of the name of the domain + two characters.
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 only
SQL Query 
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;

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 .

NameDescription
Find problems automaticallyQueries, 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:

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.

NameDescription
CHECK constraintsQueries of this category provide information about CHECK constraints.
Comfortability of data managementQueries 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.
NamingQueries of this category provide information about the style of naming.

Further reading and related materials:

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).
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).