Find base table columns that name refers to the possibility that these are used to register dates. Find the columns that do not have an appropriate data type. Column names should reflect the data that is possible to record in the column. For instance, in case of temporal data the column name should indicate as to whether we record dates or timestamps. If the column data type is "date", then the suffix of the column name should be "kp" (Estonian) or "date" (English).
Notes
The query considers both column names in English and Estonian.
Type
Problem detection (Each row in the result could represent a flaw in the design)
Rename the column or change the type of the column.
Data Source
INFORMATION_SCHEMA only
SQL Query
SELECT table_schema, table_name, column_name, data_type
FROM INFORMATION_SCHEMA.columns AS c
WHERE ((column_name ILIKE '%\_kp' OR (column_name ILIKE '%date' AND column_name NOT ILIKE '%update')) AND data_type<>'date')
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:
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
Comfortability of database evolution
Queries of this category provide information about the means that influence database evolution.
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.
Naming
Queries of this category provide information about the style of naming.
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.
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).