Query goal: | Find columns that name points to the possibility that values in this are classifier codes. The column has a numeric type but it is not SMALLINT. Usually each classifier type has so few values that type SMALLINT would be appropriate. |
Query type: | Problem detection (Each row in the result could represent a flaw in the design) |
Query reliability: | Medium (Medium number of false-positive results) |
Query license: | MIT License |
Fixing suggestion: | Change the type of the column if appropriate. |
Data source: | INFORMATION_SCHEMA only |
SQL query: | Click on query to copy it
SELECT table_schema, table_name, column_name, CASE WHEN data_type='numeric' THEN data_type || '(' || numeric_precision || ',' || numeric_scale || ')' ELSE data_type END AS data_type FROM INFORMATION_SCHEMA.columns WHERE (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) AND column_name~* '(liik|type)' AND column_name~* '(^(id|code|kood)_|_(id|code|kood)$)' AND (data_type IN ('integer','bigint') OR (data_type='numeric' AND numeric_scale=0)) ORDER BY table_schema, table_name, column_name; |
Collection name | Collection description |
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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 . |
Category name | Category description |
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Data types | Queries of this category provide information about the data types and their usage. |
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). |