Goal Find base table columns that name refers to the possibility that these are used to register comments/descriptions. Find the columns where the data type is not VARCHAR and TEXT or in case of VARCHAR the maximum number of permitted characters is smaller than 1000. In case of determining field sizes choose a size that permits registration of all possible legal values.
Notes The query considers both column names in English and Estonian. The query tries to avoid finding boolean columns that regulate displaying comments.
Type Problem detection (Each row in the result could represent a flaw in the design)
Reliability Medium (Medium number of false-positive results)
License MIT (opens in new tab)
Fixing Suggestion Choose data types carefully. Be as precise as possible. In PostgreSQL one should use VARCHAR or TEXT types in order to store comments and descriptions. The max character length should be at least 1000. Change the data type or the field size of the column.
Data Source INFORMATION_SCHEMA only
SQL Query 
SELECT table_schema, table_name, column_name, data_type, character_maximum_length
FROM INFORMATION_SCHEMA.columns
WHERE column_name~*'(komment|kirjeldus|comment|descr|selgitus)' AND column_name!~*'(id|nr|kood|code|aeg|time|kp|date)$'
AND NOT (data_type='boolean' AND column_name~*'(show|display|enable|disable|naita|peida)')
AND (data_type NOT IN ('character varying', 'text') OR  (data_type='character varying' AND character_maximum_length<1000)) 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

This query belongs to the following collections:

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 .

NameDescription
Find problems about base tablesA 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 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

This query is classified under the following categories:

Data types

Queries of this category provide information about the data types and their usage.

Field size

Queries of this category provide information about the maximum size of values that can be recorded in column fields

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.

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).

NameDescription
Data typesQueries of this category provide information about the data types and their usage.
Field sizeQueries of this category provide information about the maximum size of values that can be recorded in column fields
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).