Too short view names

Query goal:

Names should be expressive. Find views that name is shorter than the average length of the the names of its directly underlying tables (both base tables and derived tables).

Notes about the query:

In case of the string_agg function, the line break (br) tag is used as a part of the separator for the better readability in case the query result is displayed in a web browser.

Query type:

Problem detection (Each row in the result could represent a flaw in the design)

Query reliability:

Low (Many false-positive results)

Query license:

MIT License

Fixing suggestion:

Rename the view to give it more descriptive name.

Data source:

INFORMATION_SCHEMA only

SQL query:

Click on query to copy it

SELECT view_schema, view_name, Round(Avg(Length(table_name)),1) AS average_length_of_table_names, 
Count(*) AS number_of_underlying_tables,
string_agg(table_schema || '.' || table_name, ';<br>' ORDER BY table_schema, table_name) AS underlying_tables
FROM Information_schema.view_table_usage
WHERE view_schema NOT IN (SELECT schema_name
FROM INFORMATION_SCHEMA.schemata
WHERE schema_name<>'public' AND
schema_owner='postgres' AND schema_name IS NOT NULL)
GROUP BY view_schema, view_name
HAVING Round(Avg(Length(table_name)),1)>=length(view_name)
ORDER BY view_schema, view_name;

Categories where the query belongs to

Category name	Category description
Derived tables	Queries of this category provide information about the derived tables (views, materialized views), which are used to implement virtual data layer.
Naming	Queries of this category provide information about the style of naming.

Category name

Category description

Derived tables

Queries of this category provide information about the derived tables (views, materialized views), which are used to implement virtual data layer.

Naming

Queries of this category provide information about the style of naming.

Reference materials for further reading

Reference
The corresponding code smell in case of cleaning code is "N5: Use Long Names for Long Scopes". (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 "N5: Use Long Names for Long Scopes". (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).