| Goal | Find the number of derived table columns with json, xml, array, or user-defined types. Such columns may contain data that has been aggregated/composed based on values in base tables. |
|---|---|
| Type | Sofware measure (Numeric values (software measures) about the database) |
| 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 by overview
Queries that results point to different aspects of database that might have problems. A human reviewer has to decide based on the results as to whether there are problems or not .
Find quick numeric overview of the database
Queries that return numeric values showing mostly the number of different types of database objects in the database
| Name | Description |
|---|---|
| Find problems by overview | Queries that results point to different aspects of database that might have problems. A human reviewer has to decide based on the results as to whether there are problems or not . |
| Find quick numeric overview of the database | Queries that return numeric values showing mostly the number of different types of database objects in the database |
Categories
This query is classified under the following categories:
Data types
Queries of this category provide information about the data types and their usage.
Derived tables
Queries of this category provide information about the derived tables (views, materialized views), which are used to implement virtual data layer.
Hierarchical data
Queries of this catergory provide information about storing hierarchical data in the database.
| Name | Description |
|---|---|
| Data types | Queries of this category provide information about the data types and their usage. |
| Derived tables | Queries of this category provide information about the derived tables (views, materialized views), which are used to implement virtual data layer. |
| Hierarchical data | Queries of this catergory provide information about storing hierarchical data in the database. |