PostgreSQL Query Catalog

Find all the base tables that serve as supertables in the inheritance hierarchies

Check as to wheteher the names of table columns are in the plural or in the singular form. Make sure that you are consistent in naming. Show the number of columns that name is in plural or in singular by table type.

Check as to wheteher the names of tables are in the plural or in the singular form. Make sure that you are consistent in naming. Show the number of tables that name is in plural or in singular by table type.

Find the number of mandatory and optional Boolean base table columns and the proportion of optional columns from all the Boolean columns. 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.

Depth of referential tree of a database schema is the longest referential path between the tables in this schema (Piattini et al., 2001). In other words, it is the biggest value among the DRT(T) values of all the tables of the schema.

Depth of relational tree of a table T (DRT(T)) is defined by Piattini et al. (2001) as "the longest referential path between tables, from the table T to any other table in the schema". The result may help to classify the data. If the depth is 0, then probably the table contains classifers. Tables with the largest depth probably contain some extra information about main entities.

Find the number of different character maximum lengths that are used to define textual base table columns as well as list all the different lengths. Show also the total number of columns with char/varchar type. Maximum character length constrains values in a column. Thus, in case there is a small number of used lengths, it raises a question as to whether the lengths have been optimally selected.

Find the number of different data types that are used to define base table columns as well as list all the different types. Data type constrains values in a column. Thus, in case there is a small number of used types, it raises a question as to whether the types have been optimally selected.

Find in case of base tables, materialized views, and views the number of columns based on the length of the column name.

"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 how many names (identifiers) of database objects there are with different lengths. The values could be used to compare different databases.

"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, what are the most popular components of the names (identifiers) of user-defined database objects, assuming, that the separator of the components is "_".

This query provides a statistical analysis of identifier length across the schema. It calculates a frequency distribution by grouping base tables, views, and materialized views based on the character length of their names. The result is a count of how many objects exist for each distinct name length, which can be used to audit naming conventions or identify outliers.

"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 names (identifiers) of user-defined database objects that occur at least twice as frequently as a name occurs in average. Also make sure that there is no duplication in play.

"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 names (identifiers) of user-defined database objects that occur at least twice as frequently as a name occurs in average in case of the particular type of database objects. Also make sure that there is no duplication in play.

The schema size is the sum of the sizes of all tables in the schema.

The table size is the sum of the total size of the simple columns and the total size of the complex columns in the table. In case of SQL databases large base tables in terms of number of columns could be a side effect of the problems with cloned columns or multiple columns for the same attribute. A base table with a low normalization level, which is meant to hold data that corresponds to multiple entity types has typically also relatively large number of columns compared with other base tables. Thus, the normalization level of base tables with a large number of columns should be checked as well.

"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 median and average (arithmetic mean) number of subcomponents in the names of user-defined database objects. The values could be used to compare different databases.

"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 median length and average (arithmetic mean) length of the names (identifiers) of user-defined database objects. The values could be used to compare different databases.

"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 median length and average (arithmetic mean) length of the names (identifiers) of user-defined database objects by the object type. The values could be used to compare different databases.

Find aggregate information about the names of database objects that do not contain any vowels.