| Query goal: | Find base table columns that have Boolean type and based on the column name are meant for recording data about gender. |
| Query type: | Problem detection (Each row in the result could represent a flaw in the design) |
| Query reliability: | High (Few or no false-positive results) |
| Query license: | MIT License |
| Data source: | INFORMATION_SCHEMA only |
| SQL query: | Click on query to copy it
SELECT table_schema, table_name, column_name FROM INFORMATION_SCHEMA.columns WHERE column_name~*'(sex|gender)' AND data_type='boolean' 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; |
| Collection name | Collection description |
|---|---|
| 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 |
|---|---|
| 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. |
| Reference |
|---|
| https://en.wikipedia.org/wiki/Third_gender |
| https://en.wikipedia.org/wiki/ISO/IEC_5218 |