Make sure that in case of using the type DECIMAL/NUMERIC as the type of a base table column the precision (the permitted number of digits in the number) is not too small. For instance, the biggest value in the type NUMERIC(1,1) is 0.9.
Type
Problem detection (Each row in the result could represent a flaw in the design)
SELECT table_schema, table_name, column_name, data_type, numeric_precision, numeric_scale
FROM INFORMATION_SCHEMA.columns
WHERE data_type ='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_precision=numeric_scale
ORDER BY table_schema, table_name, ordinal_position;
Collections
This query belongs to the following collections:
Name
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
This query is classified under the following categories:
Name
Description
Data types
Queries of this category provide information about the data types and their usage.
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).