PostgreSQL Query Catalog

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Filter Queries

Found 997 queries.

  • All the queries about database objects contain a subcondition to exclude from the result information about the system catalog.
  • Although the statements use SQL constructs (common table expressions; NOT in subqueries) that could cause performance problems in case of large datasets it shouldn't be a problem in case of relatively small amount of data, which is in the system catalog of a database.
  • Statistics about the catalog content and project home in GitHub that has additional information.

# Name Goal Type Data source ▲ Last update License
461 Mandatory non-primary key columns Find mandatory non-primary key columns, i.e., the columns that have NOT NULL constraint. General INFORMATION_SCHEMA+system catalog base tables 2020-12-05 19:35 MIT License View
462 Many-to-many relationship types that do not have additional attributes Find base tables that implement many-to-many relationship types that do not permit repeating relationships. More specifically find tables that have two or more foreign keys and all the columns of the table are either foreign key columns or a surrogate key column. It could be that during the system analysis a mistake has been made and some attributes of the entity type that represents the relationship type have not been discovered. Problem detection INFORMATION_SCHEMA+system catalog base tables 2022-01-21 10:48 MIT License View
463 Many-to-many relationship types that do not permit repeating relationships and do not have additional attributes Find base tables that implement many-to-many relationship types that do not permit repeating relationships. More specifically find tables that have two or more foreign keys and all the columns of the table belong to a foreign key. In addition, all the table columns must be covered by a primary key or unique constraint. It could be that during the system analysis a mistake has been made and some attributes of the entity type that represents the relationship type have not been discovered. Problem detection INFORMATION_SCHEMA+system catalog base tables 2021-03-28 12:04 MIT License View
464 Meaningless terms in derived tables Find derived tables that subquery contains terms "foo", "bar", "foobar", or "baz". Problem detection INFORMATION_SCHEMA+system catalog base tables 2023-01-06 14:08 MIT License View
465 Meaningless terms in names Find names of database objects that contain terms "foo", "bar", "foobar", or "baz". Problem detection INFORMATION_SCHEMA+system catalog base tables 2024-12-21 16:36 MIT License View
466 Meaningless terms in routines Find routines that subquery contains terms "foo", "bar", "foobar", or "baz". Problem detection INFORMATION_SCHEMA+system catalog base tables 2023-01-06 14:09 MIT License View
467 Median and average number of subcomponents in the names of database objects "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. Sofware measure INFORMATION_SCHEMA+system catalog base tables 2024-12-21 16:47 MIT License View
468 Median and average of the length of names of database objects "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. Sofware measure INFORMATION_SCHEMA+system catalog base tables 2024-12-21 17:25 MIT License View
469 Median and average of the length of names of database objects by the object type "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. Sofware measure INFORMATION_SCHEMA+system catalog base tables 2024-12-21 16:37 MIT License View
470 Middle-man Find a routine that's only task is to invoke another routine. If a routine performs only one action, delegating work to another routine, why does it exist at all? Problem detection INFORMATION_SCHEMA+system catalog base tables 2021-11-05 12:48 MIT License View
471 Minimum tuple length required before trying to move long column values into TOAST tables has been changed Find base tables in case of which toast_tuple_target storage parameter value is not the default value (2040). "Changing this value may not be useful for very short or very long rows. Note that the default setting is often close to optimal, and it is possible that setting this parameter could have negative effects in some cases. " Make sure that the parameter has an optimal value. General INFORMATION_SCHEMA+system catalog base tables 2020-11-06 14:51 MIT License View
472 Missing USAGE privileges on schema If a user has a privilege to use a schema object, then the user must also have the usage privilege on the schema that contains the object. Problem detection INFORMATION_SCHEMA+system catalog base tables 2021-11-21 12:06 MIT License View
473 Mixing Concat and || Find cases where different means are used to concatenate text within the same object. Problem detection INFORMATION_SCHEMA+system catalog base tables 2021-12-03 14:36 MIT License View
474 Mixing Concat and Coalesce Find cases where different means are used to deal with NULLs in case of concatenating texsts. Problem detection INFORMATION_SCHEMA+system catalog base tables 2021-12-08 14:25 MIT License View
475 Multiple deletes from the same table in a routine Code should be as compact as possible and system should make as little work as necessary in order to solve a task. Thus, instead of deleting different rows of the same table with different DELETE statements one should try to do it with one statement. The query excludes routines where IF statement is used. Problem detection INFORMATION_SCHEMA+system catalog base tables 2024-01-24 14:15 MIT License View
476 Multiple RETURNING clauses in a SQL function Find SQL functions that have multiple statements with the RETURNING clause. Problem detection INFORMATION_SCHEMA+system catalog base tables 2023-12-21 13:59 MIT License View
477 Multiple selects from the same table in a routine Code should be as compact as possible and system should make as little work as necessary in order to solve a task. Thus, instead of selecting different fields of the same row with different SELECT INTO statements one should try to do it with one statement. Problem detection INFORMATION_SCHEMA+system catalog base tables 2021-11-04 12:10 MIT License View
478 Multiple simple keys with integer values Find base tables that have more than one primary key or unique constraints that involve exactly one integer column. Do not overcomplicate the database. Perhaps some column in the table is redundant. Problem detection INFORMATION_SCHEMA+system catalog base tables 2022-11-03 11:15 MIT License View
479 Multiple updates of the same table in a routine Code should be as compact as possible and system should make as little work as necessary in order to solve a task. Thus, instead of updating different fields of the same table with different UPDATE statements one should try to do it with one statement. Problem detection INFORMATION_SCHEMA+system catalog base tables 2024-01-24 13:59 MIT License View
480 Name and description maximum length Find tables where is both a column for registering name and description. Find the permitted maximum field size in these columns. Take into account that the maximum length may be controlled by using a CHECK constraint. Make sure that the permitted maximum field sizes are sufficiently different. General INFORMATION_SCHEMA+system catalog base tables 2021-02-24 20:36 MIT License View