This query identifies columns intended to store registration or modification timestamps that are currently defined as optional (nullable). Since creation and update times are crucial for data auditing, these columns should typically have a NOT NULL constraint.
Type
Problem detection (Each row in the result could represent a flaw in the design)
Declare NOT NULL constraint to the column. Modification time column should be mandatory and just like registration time column should have a default value that returns a current date or timestamp.
Data Source
INFORMATION_SCHEMA only
SQL Query
SELECT A.table_schema, A.table_name , A.column_name, A.data_type
FROM information_schema.columns A
INNER JOIN information_schema.tables T USING (table_schema, table_name)
INNER JOIN information_schema.schemata S ON A.table_schema=S.schema_name
AND A.is_nullable='YES'
AND A.data_type~*'(date|timestamp)'
AND (A.column_name~*'(reg|creat|insert|loomise|lisamise)'
OR (A.column_name~*'(muutmis|update|change|modify)'
AND A.column_name!~*'(jargmine|next)'))
AND T.table_type='BASE TABLE'
AND (A.table_schema = 'public'
OR S.schema_owner<>'postgres')
ORDER BY table_schema, table_name, column_name;
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
Missing data
Queries of this category provide information about missing data (NULLs) in a database.
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.
Temporal data
Queries of this category provide information about temporal (time-related) data that is kept in the database.