Define NOT NULL constraints to the columns, if necessary.
Data Source
INFORMATION_SCHEMA only
SQL Query
SELECT A.table_schema, A.table_name , A.column_name, CASE WHEN data_type ILIKE 'character%' AND character_maximum_length IS NOT NULL THEN data_type || '(' || character_maximum_length::text || ')'
WHEN data_type ILIKE 'timestamp%' AND datetime_precision IS NOT NULL THEN data_type || '(' || datetime_precision || ')'
WHEN data_type ILIKE 'numeric%' AND numeric_precision IS NOT NULL THEN data_type || '(' || numeric_precision::text || ',' ||coalesce(numeric_scale,0)::text || ')'
WHEN data_type ILIKE 'interval%' AND interval_type IS NOT NULL THEN data_type || '(' || interval_type::text || ')'
WHEN data_type='USER-DEFINED' THEN udt_schema || '.' || udt_name
ELSE data_type END AS 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
WHERE is_nullable='YES' AND T.table_type='BASE TABLE'
AND (A.table_schema = 'public'
OR S.schema_owner<>'postgres')
ORDER BY A.table_schema, A.table_name, A.ordinal_position;
Collections
This query belongs to the following collections:
Name
Description
Find problems by overview
Queries that results point to different aspects of database that might have problems. A human reviewer has to decide based on the results as to whether there are problems 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.
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).