PostgreSQL Query Catalog

Find what database object names are used more than once in case the objects of the same type. If the names differ from each other only by digits or underscores, then consider these the same name. For instance, if there are base tables Person and Person2 (in the same schema or different schemas), then the query returns the name Person. Make sure that there is no duplication of implementation elements in the database.

Find the names that are used in case of different types of elements

Do not cause a potential performance bottleneck by having a shared resource. By having a shared sequence it is not possible to change properties of sequences of different tables independently (for instance the owner column or step), i.e., it increases coupling between tables. By having a shared sequence it is impossible to specify the owner (table column) to the sequence generator.

Find trigger functions that are used in case of more than one table. Although it is legal, one must be careful when changing the functions in order to avoid unwanted consequences.

"Names in software are 90 percent of what make software readable. You need to take the time to choose them wisely and keep them relevant. Names are too important to treat carelessly. Names should not cause confusion." (Robert C. Martin, Clean Code) Names should be expressive. Find the shortest (identifiers) names of user-defined objects by their type. These could be the first candidates of renaming in order to give to database objects better names.

Find the size of base tables without indexes, size of the indexes of the table, total size of the table (including its indexes) and percentage of the index size from the total size. If the size of indexes of a table is relatively high, then check as to whether all the indexes are needed.

Find SQL-language routines that have the body that is string literal, i.e., the body is not SQL-standard function body. Routines with a SQL-standard body are permitted starting from PostgreSQL 14.

Get overview of disk usage.

Get overview of disk usage by different schema objects that contain user data.

Get overview of disk usage.

Find a numerical measure that describes the extent of the database public interface (virtual data layer) through which users access the database.

Get overview of disk usage.

Get overview of disk usage.

Find expressions that use a data type formatting function - to_char, to_number, to_date, to_timestamp.

Improve the readability of names. Find the number of names (identifiers) of user-defined database objects that contain two or more consecutive underscores or spaces as the separator of name components vs. the number of names that contain a single underscore or space to separate name components. Try to be consistent in the usage of underscores.

Find the number of views and materialized views that have a column with the xid type and the number of routines that contain a UPDATE or a DELETE statement that search condition refers to the xmin column. If one uses optimistic approach for dealing with the concurrent modifications of data, then xmin values should be presented by views and used in routines that modify or delete rows.

Find base table columns that have Boolean type and do not have NOT NULL constraint. Use two-valued logic (TRUE, FALSE) instead of three-valued logic (TRUE, FALSE, UNKNOWN). Because NULL in a Boolean column means unknown make all the Boolean columns mandatory.

Find non-foreign key columns of base tables that probably (based on the column name) contain values that represent truth values but do not have NOT NULL constraint. Use two-valued logic (TRUE, FALSE) instead of three-valued logic (TRUE, FALSE, UNKNOWN). Because NULL in a Boolean column means unknown make all the columns mandatory.