WITH date_cols AS (SELECT table_schema, table_name, column_name, ordinal_position, data_type
FROM INFORMATION_SCHEMA.columns
WHERE (column_name ILIKE '%\_kp' OR (column_name ILIKE '%date' AND column_name NOT ILIKE '%update'))
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))
SELECT data_type, Count(*) AS nr_of_occurrences, string_agg( table_schema || '.' || table_name || '.' || column_name,'; ' ORDER BY ordinal_position) AS columns
FROM date_cols
GROUP BY data_type
HAVING (SELECT Count(*) AS c
FROM (SELECT Count(*) AS nr_of_occurrences
FROM date_cols
GROUP BY data_type) AS foo)>1
ORDER BY Count(*) DESC, data_type;
Collections
This query belongs to the following collections:
Name
Description
Find problems about base tables
A selection of queries that return information about the data types, field sizes, default values as well as general structure of base tables. Contains all the types of queries - problem detection, software measure, and general overview
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.
Inconsistencies
Queries of this catergory provide information about inconsistencies of solving the same problem in different places.
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.