PostgreSQL Query Catalog

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Filter Queries

Found 1024 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
541 ON UPDATE CASCADE is probably missing (based on data types) This query identifies foreign key constraints that likely require an ON UPDATE CASCADE action. It operates on a strong heuristic based on data type: the query flags foreign keys where the column type is neither integer nor uuid and the ON UPDATE CASCADE action is absent. This assumes that non-numeric, non-UUID keys are natural keys (e.g., VARCHAR, CHAR) whose values are meaningful and may need to be updated over time. The absence of ON UPDATE CASCADE on these relationships can impede data maintenance and violate referential integrity upon updates. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-08 10:33 MIT License View
542 ON UPDATE CASCADE is probably missing (based on the properties of the referenced column) This query identifies foreign key constraints that are likely missing an ON UPDATE CASCADE action on what is inferred to be a simple, integer-based natural key. It isolates referenced keys that are single integer columns, are not themselves foreign keys, and, crucially, have no associated sequence generator. This combination strongly indicates a manually managed key whose values might change. The absence of ON UPDATE CASCADE on such relationships can lead to significant data maintenance issues if the natural key value ever needs to be updated. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-08 10:30 MIT License View
543 Optional base table columns that participate in a UNIQUE constraint or index Find optional base table columns that participate in a UNIQUE constraint or index. Each base table has one or more candidate keys. One of these is usually selected to be the primary key, other are called alternate keys. To enforce an alternate key one should define a UNIQUE constraint and determine that all the key columns are mandatory (NOT NULL) just like the primary key columns are mandatory. Make sure that the NOT NULL constraint is not missing on these columns. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
544 Optional non-foreign key base table columns that participate in a UNIQUE constraint or index Find optional base table columns that participate in a UNIQUE constraint or index but do not participate in a foreign key constraint. Each base table has one or more candidate keys. One of these is usually selected to be the primary key, other are called alternate keys. To enforce an alternate key one should define a UNIQUE constraint and determine that all the key columns are mandatory (NOT NULL) just like the primary key columns are mandatory. Make sure that the NOT NULL constraint is not missing on these columns. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
545 Overloading Make sure that there is genuine overloading instead of duplication or dead code. "In some programming languages, function overloading or method overloading is the ability to create multiple functions of the same name with different implementations." (Wikipedia) In PostgreSQL one can do it automagically by having multiple routines with the same name but different parameters in the same schema. General INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
546 Overloading may cause runtime error Routines in the same schema that have the same name and that have parameters with different types or different number of parameters are not considered to be in conflict at the creation time. However, if defaults are provided in the definition of parameters, then these routines might be conflict during runtime. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
547 Pairs of non-key column name and type pairs that have in different base tables a different default value Find non-key base table columns with the same name and type that have different default values. Be consistent. Columns with the same name and type shouldn't probably have different default values in case of different tables. "If you do something a certain way, do all similar things in the same way." (Robert C. Martin, Clean Code) Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
548 Pairs of non-key column name and type pairs that have in some base tables a default value and some cases not Find non-key base table columns with the same name and type that have in some cases a default value and some cases not. Be consistent. Columns with the same name and type should probably either always have a default value in case of different tables or never have a default value in case of different tables. "If you do something a certain way, do all similar things in the same way." (Robert C. Martin, Clean Code) Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
549 Parameter name contains the routine name Find parameters that have the same name as the routine. The names may have different uppercase/lowercase characters. Make sure that the naming style is consistent. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
550 Parameter name is the same as the name of a used column If the name of a routine parameter and the name of a column of a table that is used in the routine are the same, then it makes it more difficult to understand the code. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
551 Parameter name is the same as the name of a used column (ver 2) If the name of a routine parameter and the name of a column of a table that is used in the routine are the same, then it makes it more difficult to understand the code. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
552 Parameter name is the same as the routine name Find parameters that have the same name as the routine. The names may have different uppercase/lowercase characters. Make sure that the naming style is consistent. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
553 Paramtetes with an array type, XML, JSON, or JSONB type Find parameters of user-defined routines that type is an array type, xml, json, or jsonb type. Make sure that the parameter name matches the type (perhaps should be in plural). General INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
554 Partial or case insensitive unique indexes Find partial or case insensitive unique indexes. These implement uniqueness constraints that are impossible to enforce with the help of SQL's regular UNIQUE constraint. General INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
555 Password is unique Find columns that potentially contains passwords and that participate in a unique constraint or index Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
556 Password should not be open text Find base table columns that name refers to the possibility that these are used to register passwords. Find the columns that have a CHECK constraint that seems to determine the minimal permitted length of the values in the column. Passwords in a database table must be hashed and salted. Checking the strength of the password by using a check constraint is in this case impossible and the check constraints that try to do it should be removed from the database. Problem detection INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
557 Patterns of the Boolean expressions of simple CHECK constraints Find patterns of the Boolean expressions of simple CHECK constraints (involve only one column). Do not solve the same task in different places differently. The same rule could be implemented with CHECK constraints that have different Boolean expressions. "If you do something a certain way, do all similar things in the same way." (Robert C. Martin, Clean Code) General INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
558 Patterns of the names of PRIMARY KEY, UNIQUE, CHECK, EXCLUDE, and FOREIGN KEY constraints as well as user-defined non-unique indexes that are associated with exactly one column Find patterns of the names of constraints and indexes. Make sure that the naming is consistent. General INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
559 Patterns of the names of PRIMARY KEY, UNIQUE, CHECK, EXCLUDE, and FOREIGN KEY constraints as well as user-defined non-unique indexes that are associated with two or three columns Find patterns of the names of constraints and indexes. Make sure that the naming is consistent. General INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View
560 Patterns of the names of triggers and rules Find the patterns of the names of trigger and rule names. Make sure that the naming is consistent. General INFORMATION_SCHEMA+system catalog base tables 2025-11-07 10:11 MIT License View