Query goal: | Find the columns where the name reffers to the possibility that the column contains phone numbers but the type of the column is not VARCHAR or TEXT. |
Notes about the query: | The query considers both column names in English and Estonian. |
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 |
Fixing suggestion: | Change the type of the column to VARCHAR(n) or TEXT. In the latter case add an additional constraint to the maximum value length permitted in the column. |
Data source: | INFORMATION_SCHEMA only |
SQL query: | Click on query to copy it
SELECT table_schema, table_name, column_name, data_type, character_maximum_length FROM INFORMATION_SCHEMA.columns WHERE data_type!~'(character varying|text)' AND column_name~*'(phone|telef)' 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 |
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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 . |
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. |