| Goal | This query identifies potential type mismatches by flagging numeric literals enclosed in single quotes. This pattern often triggers unnecessary type casting overhead or indicates a schema design flaw where a textual data type (e.g., VARCHAR) is used to store exclusively numeric data. The recommendation is to either align the data type with the content (e.g., switch to SMALLINT for codes like '1', '2') or ensure the data justifies the textual type by including non-numeric characters. The query explicitly excludes standard SQL error codes found in exception handling routines, as these are syntactically required to be strings. |
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| Notes | In the returned body of routine and subquery of view/materialized view the query replaces each newline character with the line break (br) tag for the better readability in case the query result is displayed in a web browser. The query does not consider the routines that are a part of an extension. There could be multiple routines with the same name but with different parameters in the same schema (overloading). Thus, for the unique identification of the routine it is necessary to present also its parameters in addition to the schema name and routine name. |
| 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) |
| Data Source | INFORMATION_SCHEMA+system catalog |
| SQL Query |
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Collections
This query belongs to the following collections:
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 .
| Name | 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 . |
Categories
This query is classified under the following categories:
Comfortability of database evolution
Queries of this category provide information about the means that influence database evolution.
Performance
Queries of this category provide information about indexes in a database.
| Name | Description |
|---|---|
| Comfortability of database evolution | Queries of this category provide information about the means that influence database evolution. |
| Performance | Queries of this category provide information about indexes in a database. |