The list of all the queries

Base table column of measurements does not have a correct data type

Query goal: Find base table columns that name refers to the possibility that these are used to register measurement results. Find the columns that do not have an integer or numeric type.
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: Medium (Medium number of false-positive results)
Query license: MIT License
Fixing suggestion: Choose data types carefully. Be as precise as possible. In PostgreSQL one should use SMALLINT, INTEGER, BIGINT, OR NUMERIC (aka DECIMAL) type in case of storing length, height, width, depth, and weight data. Change the data type 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
FROM INFORMATION_SCHEMA.columns
WHERE column_name~*'(pikkus|laius|korgus|sygavus|kaal|length|height|width|depth|weight)'
AND data_type NOT IN ('integer', 'smallint','bigint','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)
ORDER BY table_schema, table_name, ordinal_position;

Collections where the query belongs to

Collection nameCollection description
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 where the query belongs to

Category nameCategory description
Data typesQueries of this category provide information about the data types and their usage.
Result quality depends on namesQueries 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 completenessQueries 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).

The list of all the queries