Base table column of sums of money has too big or small scale

Query goal:

Find base table columns that name refers to the possibility that these are used to register data about prices/sums of money. Find the columns that have decimal type but have a too big (bigger than six) or a too small scale (zero). The selection of field size must be precise and should take into account the possible data in the column.

Notes about the query:

The query considers both column names in English and Estonian.

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:

Change the scale that is used in case of the type declaration of the column.

Data source:

INFORMATION_SCHEMA only

SQL query:

Click on query to copy it

SELECT table_schema, table_name, column_name, data_type, numeric_precision, numeric_scale
FROM INFORMATION_SCHEMA.columns
WHERE column_name~*'(hind|maksumus|price|cost)[[:digit:]]*$'
AND data_type IN ('decimal', 'numeric') 
AND (table_schema, table_name) IN (SELECT table_schema, table_name
FROM INFORMATION_SCHEMA.tables WHERE table_type='BASE TABLE') 
AND table_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 (numeric_scale>6 OR numeric_scale=0)
ORDER BY table_schema, table_name, ordinal_position;

Collections where the query belongs to

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 .

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 .

Categories where the query belongs to

Category name	Category description
Data types	Queries of this category provide information about the data types and their usage.
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).

Category name

Category description

Data types

Queries of this category provide information about the data types and their usage.

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).

Reference materials for further reading

Reference
https://stackoverflow.com/questions/27325620/decimal19-4-or-decimal19-2-which-should-i-use

Reference

https://stackoverflow.com/questions/27325620/decimal19-4-or-decimal19-2-which-should-i-use