Table 1 lists the System catalogs. More detailed documentation of each catalog follows below.
Most system catalogs are copied from the template database during database creation and are thereafter database-specific. A few catalogs are physically shared across all databases in a cluster; these are marked in the descriptions of the individual catalogs.
Table 1. The System Catalogs
Catalog Name | Purpose |
---|---|
pg_aggregate | aggregate functions |
pg_am | index access methods |
pg_amop | access method operators |
pg_amproc | access method support procedures |
pg_attrdef | column default values |
pg_attribute | table columns ("attributes") |
pg_cast | casts (data type conversions) |
pg_class | tables, indexes, sequences ("relations") |
pg_constraint | check constraints, unique constraints, primary key constraints, foreign key constraints |
pg_conversion | encoding conversion information |
pg_database | databases within this database cluster |
pg_depend | dependencies between database objects |
pg_description | descriptions or comments on database objects |
pg_group | groups of database users |
pg_index | additional index information |
pg_inherits | table inheritance hierarchy |
pg_language | languages for writing functions |
pg_largeobject | large objects |
pg_listener | asynchronous notification support |
pg_namespace | schemas |
pg_opclass | index access method operator classes |
pg_operator | operators |
pg_proc | functions and procedures |
pg_rewrite | query rewrite rules |
pg_shadow | database users |
pg_statistic | planner statistics |
pg_tablespace | tablespaces within this database cluster |
pg_trigger | triggers |
pg_type | data types |
The catalog pg_aggregate stores information about
aggregate functions. An aggregate function is a function that
operates on a set of values (typically one column from each row
that matches a query condition) and returns a single value computed
from all these values. Typical aggregate functions are
sum
, count
, and
max
. Each entry in
pg_aggregate is an extension of an entry
in pg_proc. The pg_proc
entry carries the aggregate's name, input and output data types, and
other information that is similar to ordinary functions.
Table 2. pg_aggregate Columns
Name | Type | References | Description |
---|---|---|---|
aggfnoid | regproc | pg_proc.oid | pg_proc OID of the aggregate function |
aggtransfn | regproc | pg_proc.oid | Transition function |
aggfinalfn | regproc | pg_proc.oid | Final function (zero if none) |
aggtranstype | oid | pg_type.oid | The type of the aggregate function's internal transition (state) data |
agginitval | text | The initial value of the transition state. This is a text field containing the initial value in its external string representation. If the value is null, the transition state value starts out null. |
New aggregate functions are registered with the CREATE AGGREGATE command.
The catalog pg_am stores information about index access methods. There is one row for each index access method supported by the system.
Table 3. pg_am Columns
Name | Type | References | Description |
---|---|---|---|
amname | name | Name of the access method | |
amowner | int4 | pg_shadow.usesysid | User ID of the owner (currently not used) |
amstrategies | int2 | Number of operator strategies for this access method | |
amsupport | int2 | Number of support routines for this access method | |
amorderstrategy | int2 | Zero if the index offers no sort order, otherwise the strategy number of the strategy operator that describes the sort order | |
amcanunique | bool | Does the access method support unique indexes? | |
amcanmulticol | bool | Does the access method support multicolumn indexes? | |
amindexnulls | bool | Does the access method support null index entries? | |
amconcurrent | bool | Does the access method support concurrent updates? | |
amgettuple | regproc | pg_proc.oid | "Next valid tuple" function |
aminsert | regproc | pg_proc.oid | "Insert this tuple" function |
ambeginscan | regproc | pg_proc.oid | "Start new scan" function |
amrescan | regproc | pg_proc.oid | "Restart this scan" function |
amendscan | regproc | pg_proc.oid | "End this scan" function |
ammarkpos | regproc | pg_proc.oid | "Mark current scan position" function |
amrestrpos | regproc | pg_proc.oid | "Restore marked scan position" function |
ambuild | regproc | pg_proc.oid | "Build new index" function |
ambulkdelete | regproc | pg_proc.oid | Bulk-delete function |
amvacuumcleanup | regproc | pg_proc.oid | Post-VACUUM cleanup function |
amcostestimate | regproc | pg_proc.oid | Function to estimate cost of an index scan |
An index access method that supports multiple columns (has amcanmulticol true) must support indexing null values in columns after the first, because the planner will assume the index can be used for queries on just the first column(s). For example, consider an index on (a,b) and a query with WHERE a = 4. The system will assume the index can be used to scan for rows with a = 4, which is wrong if the index omits rows where b is null. It is, however, OK to omit rows where the first indexed column is null. (GiST currently does so.) amindexnulls should be set true only if the index access method indexes all rows, including arbitrary combinations of null values.
The catalog pg_amop stores information about operators associated with index access method operator classes. There is one row for each operator that is a member of an operator class.
Table 4. pg_amop Columns
Name | Type | References | Description |
---|---|---|---|
amopclaid | oid | pg_opclass.oid | The index operator class this entry is for |
amopsubtype | oid | pg_type.oid | Subtype to distinguish multiple entries for one strategy; zero for default |
amopstrategy | int2 | Operator strategy number | |
amopreqcheck | bool | Index hit must be rechecked | |
amopopr | oid | pg_operator.oid | OID of the operator |
The catalog pg_amproc stores information about support procedures associated with index access method operator classes. There is one row for each support procedure belonging to an operator class.
Table 5. pg_amproc Columns
Name | Type | References | Description |
---|---|---|---|
amopclaid | oid | pg_opclass.oid | The index operator class this entry is for |
amprocsubtype | oid | pg_type.oid | Subtype, if cross-type routine, else zero |
amprocnum | int2 | Support procedure number | |
amproc | regproc | pg_proc.oid | OID of the procedure |
The catalog pg_attrdef stores column default values. The main information about columns is stored in pg_attribute (see below). Only columns that explicitly specify a default value (when the table is created or the column is added) will have an entry here.
Table 6. pg_attrdef Columns
Name | Type | References | Description |
---|---|---|---|
adrelid | oid | pg_class.oid | The table this column belongs to |
adnum | int2 | pg_attribute.attnum | The number of the column |
adbin | text | The internal representation of the column default value | |
adsrc | text | A human-readable representation of the default value |
The catalog pg_attribute stores information about table columns. There will be exactly one pg_attribute row for every column in every table in the database. (There will also be attribute entries for indexes and other objects. See pg_class.)
The term attribute is equivalent to column and is used for historical reasons.
Table 7. pg_attribute Columns
Name | Type | References | Description |
---|---|---|---|
attrelid | oid | pg_class.oid | The table this column belongs to |
attname | name | The column name | |
atttypid | oid | pg_type.oid | The data type of this column |
attstattarget | int4 | attstattarget controls the level of detail of statistics accumulated for this column by ANALYZE. A zero value indicates that no statistics should be collected. A negative value says to use the system default statistics target. The exact meaning of positive values is data type-dependent. For scalar data types, attstattarget is both the target number of "most common values" to collect, and the target number of histogram bins to create. | |
attlen | int2 | A copy of pg_type.typlen of this column's type | |
attnum | int2 | The number of the column. Ordinary columns are numbered from 1 up. System columns, such as oid, have (arbitrary) negative numbers. | |
attndims | int4 | Number of dimensions, if the column is an array type; otherwise 0. (Presently, the number of dimensions of an array is not enforced, so any nonzero value effectively means "it's an array".) | |
attcacheoff | int4 | Always -1 in storage, but when loaded into a row descriptor in memory this may be updated to cache the offset of the attribute within the row. | |
atttypmod | int4 | atttypmod records type-specific data supplied at table creation time (for example, the maximum length of a varchar column). It is passed to type-specific input functions and length coercion functions. The value will generally be -1 for types that do not need atttypmod. | |
attbyval | bool | A copy of pg_type.typbyval of this column's type | |
attstorage | char | Normally a copy of pg_type.typstorage of this column's type. For TOAST-able data types, this can be altered after column creation to control storage policy. | |
attalign | char | A copy of pg_type.typalign of this column's type | |
attnotnull | bool | This represents a not-null constraint. It is possible to change this column to enable or disable the constraint. | |
atthasdef | bool | This column has a default value, in which case there will be a corresponding entry in the pg_attrdef catalog that actually defines the value. | |
attisdropped | bool | This column has been dropped and is no longer valid. A dropped column is still physically present in the table, but is ignored by the parser and so cannot be accessed via SQL. | |
attislocal | bool | This column is defined locally in the relation. Note that a column may be locally defined and inherited simultaneously. | |
attinhcount | int4 | The number of direct ancestors this column has. A column with a nonzero number of ancestors cannot be dropped nor renamed. |
The catalog pg_cast stores data type conversion paths, both built-in paths and those defined with CREATE CAST.
Table 8. pg_cast Columns
Name | Type | References | Description |
---|---|---|---|
castsource | oid | pg_type.oid | OID of the source data type |
casttarget | oid | pg_type.oid | OID of the target data type |
castfunc | oid | pg_proc.oid | The OID of the function to use to perform this cast. Zero is stored if the data types are binary compatible (that is, no run-time operation is needed to perform the cast). |
castcontext | char | Indicates what contexts the cast may be invoked in. e means only as an explicit cast (using CAST or :: syntax). a means implicitly in assignment to a target column, as well as explicitly. i means implicitly in expressions, as well as the other cases. |
The cast functions listed in pg_cast must always take the cast source type as their first argument type, and return the cast destination type as their result type. A cast function can have up to three arguments. The second argument, if present, must be type integer; it receives the type modifier associated with the destination type, or -1 if there is none. The third argument, if present, must be type boolean; it receives true if the cast is an explicit cast, false otherwise.
It is legitimate to create a pg_cast entry in which the source and target types are the same, if the associated function takes more than one argument. Such entries represent "length coercion functions" that coerce values of the type to be legal for a particular type modifier value. Note however that at present there is no support for associating non-default type modifiers with user-created data types, and so this facility is only of use for the small number of built-in types that have type modifier syntax built into the grammar.
When a pg_cast entry has different source and target types and a function that takes more than one argument, it represents converting from one type to another and applying a length coercion in a single step. When no such entry is available, coercion to a type that uses a type modifier involves two steps, one to convert between datatypes and a second to apply the modifier.
The catalog pg_class catalogs tables and most everything else that has columns or is otherwise similar to a table. This includes indexes (but see also pg_index), sequences, views, composite types, and some kinds of special relation; see relkind. Below, when we mean all of these kinds of objects we speak of "relations". Not all columns are meaningful for all relation types.
Table 9. pg_class Columns
Name | Type | References | Description |
---|---|---|---|
relname | name | Name of the table, index, view, etc. | |
relnamespace | oid | pg_namespace.oid | The OID of the namespace that contains this relation |
reltype | oid | pg_type.oid | The OID of the data type that corresponds to this table's rowtype, if any (zero for indexes, which have no pg_type entry) |
relowner | int4 | pg_shadow.usesysid | Owner of the relation |
relam | oid | pg_am.oid | If this is an index, the access method used (B-tree, hash, etc.) |
relfilenode | oid | Name of the on-disk file of this relation; 0 if none | |
reltablespace | oid | pg_tablespace.oid | The tablespace in which this relation is stored. If zero, the database's default tablespace is implied. (Not meaningful if the relation has no on-disk file.) |
relpages | int4 | Size of the on-disk representation of this table in pages (of size BLCKSZ). This is only an estimate used by the planner. It is updated by VACUUM, ANALYZE, and a few DDL commands such as CREATE INDEX. | |
reltuples | float4 | Number of rows in the table. This is only an estimate used by the planner. It is updated by VACUUM, ANALYZE, and a few DDL commands such as CREATE INDEX. | |
reltoastrelid | oid | pg_class.oid | OID of the TOAST table associated with this table, 0 if none. The TOAST table stores large attributes "out of line" in a secondary table. |
reltoastidxid | oid | pg_class.oid | For a TOAST table, the OID of its index. 0 if not a TOAST table. |
relhasindex | bool | True if this is a table and it has (or recently had) any indexes. This is set by CREATE INDEX, but not cleared immediately by DROP INDEX. VACUUM clears relhasindex if it finds the table has no indexes. | |
relisshared | bool | True if this table is shared across all databases in the cluster. Only certain system catalogs (such as pg_database) are shared. | |
relkind | char | r = ordinary table, i = index, S = sequence, v = view, c = composite type, s = special, t = TOAST table | |
relnatts | int2 | Number of user columns in the relation (system columns not counted). There must be this many corresponding entries in pg_attribute. See also pg_attribute.attnum. | |
relchecks | int2 | Number of check constraints on the table; see pg_constraint catalog | |
reltriggers | int2 | Number of triggers on the table; see pg_trigger catalog | |
relukeys | int2 | unused (not the number of unique keys) | |
relfkeys | int2 | unused (not the number of foreign keys on the table) | |
relrefs | int2 | unused | |
relhasoids | bool | True if we generate an OID for each row of the relation. | |
relhaspkey | bool | True if the table has (or once had) a primary key. | |
relhasrules | bool | Table has rules; see pg_rewrite catalog | |
relhassubclass | bool | At least one table inherits from this one | |
relacl | aclitem[] | Access privileges; see the descriptions of GRANT and REVOKE for details. |
The catalog pg_constraint stores check, primary key, unique, and foreign key constraints on tables. (Column constraints are not treated specially. Every column constraint is equivalent to some table constraint.) Not-null constraints are represented in the pg_attribute catalog.
Check constraints on domains are stored here, too.
Table 10. pg_constraint Columns
Name | Type | References | Description |
---|---|---|---|
conname | name | Constraint name (not necessarily unique!) | |
connamespace | oid | pg_namespace.oid | The OID of the namespace that contains this constraint |
contype | char | c = check constraint, f = foreign key constraint, p = primary key constraint, u = unique constraint | |
condeferrable | bool | Is the constraint deferrable? | |
condeferred | bool | Is the constraint deferred by default? | |
conrelid | oid | pg_class.oid | The table this constraint is on; 0 if not a table constraint |
contypid | oid | pg_type.oid | The domain this constraint is on; 0 if not a domain constraint |
confrelid | oid | pg_class.oid | If a foreign key, the referenced table; else 0 |
confupdtype | char | Foreign key update action code | |
confdeltype | char | Foreign key deletion action code | |
confmatchtype | char | Foreign key match type | |
conkey | int2[] | pg_attribute.attnum | If a table constraint, list of columns which the constraint constrains |
confkey | int2[] | pg_attribute.attnum | If a foreign key, list of the referenced columns |
conbin | text | If a check constraint, an internal representation of the expression | |
consrc | text | If a check constraint, a human-readable representation of the expression |
Note: consrc is not updated when referenced objects change; for example, it won't track renaming of columns. Rather than relying on this field, it's best to use
pg_get_constraintdef()
to extract the definition of a check constraint.
Note: pg_class.relchecks needs to agree with the number of check-constraint entries found in this table for the given relation.
The catalog pg_conversion stores encoding conversion information. See CREATE CONVERSION for more information.
Table 11. pg_conversion Columns
Name | Type | References | Description |
---|---|---|---|
conname | name | Conversion name (unique within a namespace) | |
connamespace | oid | pg_namespace.oid | The OID of the namespace that contains this conversion |
conowner | int4 | pg_shadow.usesysid | Owner of the conversion |
conforencoding | int4 | Source encoding ID | |
contoencoding | int4 | Destination encoding ID | |
conproc | regproc | pg_proc.oid | Conversion procedure |
condefault | bool | True if this is the default conversion |
The catalog pg_database stores information about the available databases. Databases are created with the CREATE DATABASE command. Consult Chapter 23 for details about the meaning of some of the parameters.
Unlike most system catalogs, pg_database is shared across all databases of a cluster: there is only one copy of pg_database per cluster, not one per database.
Table 12. pg_database Columns
Name | Type | References | Description |
---|---|---|---|
datname | name | Database name | |
datdba | int4 | pg_shadow.usesysid | Owner of the database, usually the user who created it |
encoding | int4 | Character encoding for this database | |
datistemplate | bool | If true then this database can be used in the TEMPLATE clause of CREATE DATABASE to create a new database as a clone of this one. | |
datallowconn | bool | If false then no one can connect to this database. This is used to protect the template0 database from being altered. | |
datlastsysoid | oid | Last system OID in the database; useful particularly to pg_dump | |
datvacuumxid | xid | All rows inserted or deleted by transaction IDs before this one have been marked as known committed or known aborted in this database. This is used to determine when commit-log space can be recycled. | |
datfrozenxid | xid | All rows inserted by transaction IDs before this one have been relabeled with a permanent ("frozen") transaction ID in this database. This is useful to check whether a database must be vacuumed soon to avoid transaction ID wrap-around problems. | |
dattablespace | oid | pg_tablespace.oid | The default tablespace for the database. Within this database, all tables for which pg_class.reltablespace is zero will be stored in this tablespace; in particular, all the non-shared system catalogs will be there. |
datconfig | text[] | Session defaults for run-time configuration variables | |
datacl | aclitem[] | Access privileges |
The catalog pg_depend records the dependency relationships between database objects. This information allows DROP commands to find which other objects must be dropped by DROP CASCADE or prevent dropping in the DROP RESTRICT case.
Table 13. pg_depend Columns
Name | Type | References | Description |
---|---|---|---|
classid | oid | pg_class.oid | The OID of the system catalog the dependent object is in |
objid | oid | any OID column | The OID of the specific dependent object |
objsubid | int4 | For a table column, this is the column number (the objid and classid refer to the table itself). For all other object types, this column is zero. | |
refclassid | oid | pg_class.oid | The OID of the system catalog the referenced object is in |
refobjid | oid | any OID column | The OID of the specific referenced object |
refobjsubid | int4 | For a table column, this is the column number (the refobjid and refclassid refer to the table itself). For all other object types, this column is zero. | |
deptype | char | A code defining the specific semantics of this dependency relationship; see text. |
In all cases, a pg_depend entry indicates that the referenced object may not be dropped without also dropping the dependent object. However, there are several subflavors identified by deptype:
A normal relationship between separately-created objects. The dependent object may be dropped without affecting the referenced object. The referenced object may only be dropped by specifying CASCADE, in which case the dependent object is dropped, too. Example: a table column has a normal dependency on its data type.
The dependent object can be dropped separately from the referenced object, and should be automatically dropped (regardless of RESTRICT or CASCADE mode) if the referenced object is dropped. Example: a named constraint on a table is made autodependent on the table, so that it will go away if the table is dropped.
The dependent object was created as part of creation of the referenced object, and is really just a part of its internal implementation. A DROP of the dependent object will be disallowed outright (we'll tell the user to issue a DROP against the referenced object, instead). A DROP of the referenced object will be propagated through to drop the dependent object whether CASCADE is specified or not. Example: a trigger that's created to enforce a foreign-key constraint is made internally dependent on the constraint's pg_constraint entry.
There is no dependent object; this type of entry is a signal that the system itself depends on the referenced object, and so that object must never be deleted. Entries of this type are created only by initdb. The columns for the dependent object contain zeroes.
Other dependency flavors may be needed in future.
The catalog pg_description can store an optional description or comment for each database object. Descriptions can be manipulated with the COMMENT command and viewed with psql's \d commands. Descriptions of many built-in system objects are provided in the initial contents of pg_description.
Table 14. pg_description Columns
Name | Type | References | Description |
---|---|---|---|
objoid | oid | any OID column | The OID of the object this description pertains to |
classoid | oid | pg_class.oid | The OID of the system catalog this object appears in |
objsubid | int4 | For a comment on a table column, this is the column number (the objoid and classoid refer to the table itself). For all other object types, this column is zero. | |
description | text | Arbitrary text that serves as the description of this object. |
The catalog pg_group defines groups and stores what users belong to what groups. Groups are created with the CREATE GROUP command. Consult Chapter 22 for information about user privilege management.
Because user and group identities are cluster-wide, pg_group is shared across all databases of a cluster: there is only one copy of pg_group per cluster, not one per database.
Table 15. pg_group Columns
Name | Type | References | Description |
---|---|---|---|
groname | name | Name of the group | |
grosysid | int4 | An arbitrary number to identify this group | |
grolist | int4[] | pg_shadow.usesysid | An array containing the IDs of the users in this group |
The catalog pg_index contains part of the information about indexes. The rest is mostly in pg_class.
Table 16. pg_index Columns
Name | Type | References | Description |
---|---|---|---|
indexrelid | oid | pg_class.oid | The OID of the pg_class entry for this index |
indrelid | oid | pg_class.oid | The OID of the pg_class entry for the table this index is for |
indkey | int2vector | pg_attribute.attnum | This is an array of indnatts (up to INDEX_MAX_KEYS) values that indicate which table columns this index indexes. For example a value of 1 3 would mean that the first and the third table columns make up the index key. A zero in this array indicates that the corresponding index attribute is an expression over the table columns, rather than a simple column reference. |
indclass | oidvector | pg_opclass.oid | For each column in the index key this contains the OID of the operator class to use. See pg_opclass for details. |
indnatts | int2 | The number of columns in the index (duplicates pg_class.relnatts) | |
indisunique | bool | If true, this is a unique index. | |
indisprimary | bool | If true, this index represents the primary key of the table. (indisunique should always be true when this is true.) | |
indisclustered | bool | If true, the table was last clustered on this index. | |
indexprs | text | Expression trees (in nodeToString() representation)
for index attributes that are not simple column references. This is a
list with one element for each zero entry in indkey.
Null if all index attributes are simple references. | |
indpred | text | Expression tree (in nodeToString() representation)
for partial index predicate. Null if not a partial index. |
The catalog pg_inherits records information about table inheritance hierarchies.
Table 17. pg_inherits Columns
Name | Type | References | Description |
---|---|---|---|
inhrelid | oid | pg_class.oid | The OID of the child table. |
inhparent | oid | pg_class.oid | The OID of the parent table. |
inhseqno | int4 | If there is more than one parent for a child table (multiple inheritance), this number tells the order in which the inherited columns are to be arranged. The count starts at 1. |
The catalog pg_language registers call interfaces or languages in which you can write functions or stored procedures.
Table 18. pg_language Columns
Name | Type | References | Description |
---|---|---|---|
lanname | name | Name of the language (to be specified when creating a function) | |
lanispl | bool | This is false for internal languages (such as SQL) and true for user-defined languages. Currently, pg_dump still uses this to determine which languages need to be dumped, but this may be replaced by a different mechanism sometime. | |
lanpltrusted | bool | This is a trusted language. See under CREATE LANGUAGE what this means. If this is an internal language (lanispl is false) then this column is meaningless. | |
lanplcallfoid | oid | pg_proc.oid | For noninternal languages this references the language handler, which is a special function that is responsible for executing all functions that are written in the particular language. |
lanvalidator | oid | pg_proc.oid | This references a language validator function that is responsible for checking the syntax and validity of new functions when they are created. See under CREATE LANGUAGE for further information about validators. |
lanacl | aclitem[] | Access privileges |
The catalog pg_largeobject holds the data making up "large objects". A large object is identified by an OID assigned when it is created. Each large object is broken into segments or "pages" small enough to be conveniently stored as rows in pg_largeobject. The amount of data per page is defined to be LOBLKSIZE (which is currently BLCKSZ/4, or typically 2 kB).
Table 19. pg_largeobject Columns
Name | Type | References | Description |
---|---|---|---|
loid | oid | Identifier of the large object that includes this page | |
pageno | int4 | Page number of this page within its large object (counting from zero) | |
data | bytea | Actual data stored in the large object. This will never be more than LOBLKSIZE bytes and may be less. |
Each row of pg_largeobject holds data for one page of a large object, beginning at byte offset (pageno * LOBLKSIZE) within the object. The implementation allows sparse storage: pages may be missing, and may be shorter than LOBLKSIZE bytes even if they are not the last page of the object. Missing regions within a large object read as zeroes.
The catalog pg_listener supports the LISTEN and NOTIFY commands. A listener creates an entry in pg_listener for each notification name it is listening for. A notifier scans pg_listener and updates each matching entry to show that a notification has occurred. The notifier also sends a signal (using the PID recorded in the table) to awaken the listener from sleep.
Table 20. pg_listener Columns
Name | Type | References | Description |
---|---|---|---|
relname | name | Notify condition name. (The name need not match any actual relation in the database; the name relname is historical.) | |
listenerpid | int4 | PID of the server process that created this entry. | |
notification | int4 | Zero if no event is pending for this listener. If an event is pending, the PID of the server process that sent the notification. |
The catalog pg_namespace stores namespaces. A namespace is the structure underlying SQL schemas: each namespace can have a separate collection of relations, types, etc. without name conflicts.
Table 21. pg_namespace Columns
Name | Type | References | Description |
---|---|---|---|
nspname | name | Name of the namespace | |
nspowner | int4 | pg_shadow.usesysid | Owner of the namespace |
nspacl | aclitem[] | Access privileges |
The catalog pg_opclass defines index access method operator classes. Each operator class defines semantics for index columns of a particular data type and a particular index access method. Note that there can be multiple operator classes for a given data type/access method combination, thus supporting multiple behaviors.
Table 22. pg_opclass Columns
Name | Type | References | Description |
---|---|---|---|
opcamid | oid | pg_am.oid | Index access method operator class is for |
opcname | name | Name of this operator class | |
opcnamespace | oid | pg_namespace.oid | Namespace of this operator class |
opcowner | int4 | pg_shadow.usesysid | Operator class owner |
opcintype | oid | pg_type.oid | Data type that the operator class indexes |
opcdefault | bool | True if this operator class is the default for opcintype | |
opckeytype | oid | pg_type.oid | Type of data stored in index, or zero if same as opcintype |
The majority of the information defining an operator class is actually not in its pg_opclass row, but in the associated rows in pg_amop and pg_amproc. Those rows are considered to be part of the operator class definition — this is not unlike the way that a relation is defined by a single pg_class row plus associated rows in pg_attribute and other tables.
The catalog pg_operator stores information about operators. See CREATE OPERATOR for details on these operator parameters.
Table 23. pg_operator Columns
Name | Type | References | Description |
---|---|---|---|
oprname | name | Name of the operator | |
oprnamespace | oid | pg_namespace.oid | The OID of the namespace that contains this operator |
oprowner | int4 | pg_shadow.usesysid | Owner of the operator |
oprkind | char | b = infix ("both"), l = prefix ("left"), r = postfix ("right") | |
oprcanhash | bool | This operator supports hash joins | |
oprleft | oid | pg_type.oid | Type of the left operand |
oprright | oid | pg_type.oid | Type of the right operand |
oprresult | oid | pg_type.oid | Type of the result |
oprcom | oid | pg_operator.oid | Commutator of this operator, if any |
oprnegate | oid | pg_operator.oid | Negator of this operator, if any |
oprlsortop | oid | pg_operator.oid | If this operator supports merge joins, the operator that sorts the type of the left-hand operand (L<L) |
oprrsortop | oid | pg_operator.oid | If this operator supports merge joins, the operator that sorts the type of the right-hand operand (R<R) |
oprltcmpop | oid | pg_operator.oid | If this operator supports merge joins, the less-than operator that compares the left and right operand types (L<R) |
oprgtcmpop | oid | pg_operator.oid | If this operator supports merge joins, the greater-than operator that compares the left and right operand types (L>R) |
oprcode | regproc | pg_proc.oid | Function that implements this operator |
oprrest | regproc | pg_proc.oid | Restriction selectivity estimation function for this operator |
oprjoin | regproc | pg_proc.oid | Join selectivity estimation function for this operator |
Unused column contain zeroes, for example oprleft is zero for a prefix operator.
The catalog pg_proc stores information about functions (or procedures). The description of CREATE FUNCTION contains more information about the meaning of some columns.
The table contains data for aggregate functions as well as plain functions. If proisagg is true, there should be a matching row in pg_aggregate.
Table 24. pg_proc Columns
Name | Type | References | Description |
---|---|---|---|
proname | name | Name of the function | |
pronamespace | oid | pg_namespace.oid | The OID of the namespace that contains this function |
proowner | int4 | pg_shadow.usesysid | Owner of the function |
prolang | oid | pg_language.oid | Implementation language or call interface of this function |
proisagg | bool | Function is an aggregate function | |
prosecdef | bool | Function is a security definer (i.e., a "setuid" function) | |
proisstrict | bool | Function returns null if any call argument is null. In that case the function won't actually be called at all. Functions that are not "strict" must be prepared to handle null inputs. | |
proretset | bool | Function returns a set (i.e., multiple values of the specified data type) | |
provolatile | char | provolatile tells whether the function's result depends only on its input arguments, or is affected by outside factors. It is i for "immutable" functions, which always deliver the same result for the same inputs. It is s for "stable" functions, whose results (for fixed inputs) do not change within a scan. It is v for "volatile" functions, whose results may change at any time. (Use v also for functions with side-effects, so that calls to them cannot get optimized away.) | |
pronargs | int2 | Number of arguments | |
prorettype | oid | pg_type.oid | Data type of the return value |
proargtypes | oidvector | pg_type.oid | An array with the data types of the function arguments |
proargnames | text[] | An array with the names of the function arguments. Arguments without a name are set to empty strings in the array. If none of the arguments have a name, this field may be null. | |
prosrc | text | This tells the function handler how to invoke the function. It might be the actual source code of the function for interpreted languages, a link symbol, a file name, or just about anything else, depending on the implementation language/call convention. | |
probin | bytea | Additional information about how to invoke the function. Again, the interpretation is language-specific. | |
proacl | aclitem[] | Access privileges |
prosrc contains the function's C-language name (link symbol) for compiled functions, both built-in and dynamically loaded. For all other language types, prosrc contains the function's source text. probin is unused except for dynamically-loaded C functions, for which it gives the name of the shared library file containing the function.
The catalog pg_rewrite stores rewrite rules for tables and views.
Table 25. pg_rewrite Columns
Name | Type | References | Description |
---|---|---|---|
rulename | name | Rule name | |
ev_class | oid | pg_class.oid | The table this rule is for |
ev_attr | int2 | The column this rule is for (currently, always zero to indicate the whole table) | |
ev_type | char | Event type that the rule is for: 1 = SELECT, 2 = UPDATE, 3 = INSERT, 4 = DELETE | |
is_instead | bool | True if the rule is an INSTEAD rule | |
ev_qual | text | Expression tree (in the form of a
nodeToString() representation) for the
rule's qualifying condition
| |
ev_action | text | Query tree (in the form of a
nodeToString() representation) for the
rule's action
|
Note: pg_class.relhasrules must be true if a table has any rules in this catalog.
The catalog pg_shadow contains information about database users. The name stems from the fact that this table should not be readable by the public since it contains passwords. pg_user is a publicly readable view on pg_shadow that blanks out the password field.
Chapter 22 contains detailed information about user and privilege management.
Because user identities are cluster-wide, pg_shadow is shared across all databases of a cluster: there is only one copy of pg_shadow per cluster, not one per database.
Table 26. pg_shadow Columns
Name | Type | References | Description |
---|---|---|---|
usename | name | User name | |
usesysid | int4 | User id (arbitrary number used to reference this user) | |
usecreatedb | bool | User may create databases | |
usesuper | bool | User is a superuser | |
usecatupd | bool | User may update system catalogs. (Even a superuser may not do this unless this column is true.) | |
passwd | text | Password | |
valuntil | abstime | Account expiry time (only used for password authentication) | |
useconfig | text[] | Session defaults for run-time configuration variables |
The catalog pg_statistic stores statistical data about the contents of the database. Entries are created by ANALYZE and subsequently used by the query planner. There is one entry for each table column that has been analyzed. Note that all the statistical data is inherently approximate, even assuming that it is up-to-date.
pg_statistic also stores statistical data about the values of index expressions. These are described as if they were actual data columns; in particular, starelid references the index. No entry is made for an ordinary non-expression index column, however, since it would be redundant with the entry for the underlying table column.
Since different kinds of statistics may be appropriate for different kinds of data, pg_statistic is designed not to assume very much about what sort of statistics it stores. Only extremely general statistics (such as nullness) are given dedicated columns in pg_statistic. Everything else is stored in "slots", which are groups of associated columns whose content is identified by a code number in one of the slot's columns. For more information see src/include/catalog/pg_statistic.h.
pg_statistic should not be readable by the public, since even statistical information about a table's contents may be considered sensitive. (Example: minimum and maximum values of a salary column might be quite interesting.) pg_stats is a publicly readable view on pg_statistic that only exposes information about those tables that are readable by the current user.
Table 27. pg_statistic Columns
Name | Type | References | Description |
---|---|---|---|
starelid | oid | pg_class.oid | The table or index that the described column belongs to |
staattnum | int2 | pg_attribute.attnum | The number of the described column |
stanullfrac | float4 | The fraction of the column's entries that are null | |
stawidth | int4 | The average stored width, in bytes, of nonnull entries | |
stadistinct | float4 | The number of distinct nonnull data values in the column. A value greater than zero is the actual number of distinct values. A value less than zero is the negative of a fraction of the number of rows in the table (for example, a column in which values appear about twice on the average could be represented by stadistinct = -0.5). A zero value means the number of distinct values is unknown. | |
stakindN | int2 | A code number indicating the kind of statistics stored in the Nth "slot" of the pg_statistic row. | |
staopN | oid | pg_operator.oid | An operator used to derive the statistics stored in the Nth "slot". For example, a histogram slot would show the < operator that defines the sort order of the data. |
stanumbersN | float4[] | Numerical statistics of the appropriate kind for the Nth "slot", or null if the slot kind does not involve numerical values. | |
stavaluesN | anyarray | Column data values of the appropriate kind for the Nth "slot", or null if the slot kind does not store any data values. Each array's element values are actually of the specific column's data type, so there is no way to define these columns' type more specifically than anyarray. |
The catalog pg_tablespace stores information about the available tablespaces. Tables can be placed in particular tablespaces to aid administration of disk layout.
Unlike most system catalogs, pg_tablespace is shared across all databases of a cluster: there is only one copy of pg_tablespace per cluster, not one per database.
Table 28. pg_tablespace Columns
Name | Type | References | Description |
---|---|---|---|
spcname | name | Tablespace name | |
spcowner | int4 | pg_shadow.usesysid | Owner of the tablespace, usually the user who created it |
spclocation | text | Location (directory path) of the tablespace | |
spcacl | aclitem[] | Access privileges |
The catalog pg_trigger stores triggers on tables. See under CREATE TRIGGER for more information.
Table 29. pg_trigger Columns
Name | Type | References | Description |
---|---|---|---|
tgrelid | oid | pg_class.oid | The table this trigger is on |
tgname | name | Trigger name (must be unique among triggers of same table) | |
tgfoid | oid | pg_proc.oid | The function to be called |
tgtype | int2 | Bit mask identifying trigger conditions | |
tgenabled | bool | True if trigger is enabled (not presently checked everywhere it should be, so disabling a trigger by setting this false does not work reliably) | |
tgisconstraint | bool | True if trigger implements a referential integrity constraint | |
tgconstrname | name | Referential integrity constraint name | |
tgconstrrelid | oid | pg_class.oid | The table referenced by an referential integrity constraint |
tgdeferrable | bool | True if deferrable | |
tginitdeferred | bool | True if initially deferred | |
tgnargs | int2 | Number of argument strings passed to trigger function | |
tgattr | int2vector | Currently unused | |
tgargs | bytea | Argument strings to pass to trigger, each null-terminated |
Note: pg_class.reltriggers needs to match up with the entries in this table.
The catalog pg_type stores information about data types. Base types (scalar types) are created with CREATE TYPE. A composite type is automatically created for each table in the database, to represent the row structure of the table. It is also possible to create composite types with CREATE TYPE AS and domains with CREATE DOMAIN.
Table 30. pg_type Columns
Name | Type | References | Description |
---|---|---|---|
typname | name | Data type name | |
typnamespace | oid | pg_namespace.oid | The OID of the namespace that contains this type |
typowner | int4 | pg_shadow.usesysid | Owner of the type |
typlen | int2 | For a fixed-size type, typlen is the number of bytes in the internal representation of the type. But for a variable-length type, typlen is negative. -1 indicates a "varlena" type (one that has a length word), -2 indicates a null-terminated C string. | |
typbyval | bool | typbyval determines whether internal routines pass a value of this type by value or by reference. typbyval had better be false if typlen is not 1, 2, or 4 (or 8 on machines where Datum is 8 bytes). Variable-length types are always passed by reference. Note that typbyval can be false even if the length would allow pass-by-value; this is currently true for type float4, for example. | |
typtype | char | typtype is b for a base type, c for a composite type (e.g., a table's row type), d for a domain, or p for a pseudo-type. See also typrelid and typbasetype. | |
typisdefined | bool | True if the type is defined, false if this is a placeholder entry for a not-yet-defined type. When typisdefined is false, nothing except the type name, namespace, and OID can be relied on. | |
typdelim | char | Character that separates two values of this type when parsing array input. Note that the delimiter is associated with the array element data type, not the array data type. | |
typrelid | oid | pg_class.oid | If this is a composite type (see typtype), then this column points to the pg_class entry that defines the corresponding table. (For a free-standing composite type, the pg_class entry doesn't really represent a table, but it is needed anyway for the type's pg_attribute entries to link to.) Zero for non-composite types. |
typelem | oid | pg_type.oid | If typelem is not 0 then it identifies another row in pg_type. The current type can then be subscripted like an array yielding values of type typelem. A "true" array type is variable length (typlen = -1), but some fixed-length (typlen > 0) types also have nonzero typelem, for example name and oidvector. If a fixed-length type has a typelem then its internal representation must be some number of values of the typelem data type with no other data. Variable-length array types have a header defined by the array subroutines. |
typinput | regproc | pg_proc.oid | Input conversion function (text format) |
typoutput | regproc | pg_proc.oid | Output conversion function (text format) |
typreceive | regproc | pg_proc.oid | Input conversion function (binary format), or 0 if none |
typsend | regproc | pg_proc.oid | Output conversion function (binary format), or 0 if none |
typanalyze | regproc | pg_proc.oid | Custom ANALYZE function, or 0 to use the standard function |
typalign | char | typalign is the alignment required when storing a value of this type. It applies to storage on disk as well as most representations of the value inside EnterpriseDB. When multiple values are stored consecutively, such as in the representation of a complete row on disk, padding is inserted before a datum of this type so that it begins on the specified boundary. The alignment reference is the beginning of the first datum in the sequence. Possible values are:
| |
typstorage | char | typstorage tells for varlena types (those with typlen = -1) if the type is prepared for toasting and what the default strategy for attributes of this type should be. Possible values are
Note that m columns can also be moved out to secondary storage, but only as a last resort (e and x columns are moved first). | |
typnotnull | bool | typnotnull represents a not-null constraint on a type. Used for domains only. | |
typbasetype | oid | pg_type.oid | If this is a domain (see typtype), then typbasetype identifies the type that this one is based on. Zero if not a domain. |
typtypmod | int4 | Domains use typtypmod to record the typmod to be applied to their base type (-1 if base type does not use a typmod). -1 if this type is not a domain. | |
typndims | int4 | typndims is the number of array dimensions for a domain that is an array (that is, typbasetype is an array type; the domain's typelem will match the base type's typelem). Zero for types other than array domains. | |
typdefaultbin | text | If typdefaultbin is not null, it is the | |
typdefault | text | typdefault is null if the type has no associated default value. If typdefaultbin is not null, typdefault must contain a human-readable version of the default expression represented by typdefaultbin. If typdefaultbin is null and typdefault is not, then typdefault is the external representation of the type's default value, which may be fed to the type's input converter to produce a constant. |
In addition to the system catalogs, EnterpriseDB provides a number of built-in views. The system views provide convenient access to some commonly used queries on the system catalogs. Some of these views provide access to internal server state, as well.
Table 31 lists the system views described here. More detailed documentation of each view follows below. There are some additional views that provide access to the results of the statistics collector; they are described in Table 28-1.
The information schema provides an alternative set of views which overlap the functionality of the system views. Since the information schema is SQL-standard whereas the views described here are EnterpriseDB-specific, it's usually better to use the information schema if it provides all the information you need.
Except where noted, all the views described here are read-only.
Table 31. System Views
View Name | Purpose |
---|---|
pg_indexes | indexes |
pg_locks | currently held locks |
pg_rules | rules |
pg_settings | parameter settings |
pg_stats | planner statistics |
pg_tables | tables |
pg_user | database users |
pg_views | views |
The view pg_indexes provides access to useful information about each index in the database.
Table 32. pg_indexes Columns
Name | Type | References | Description |
---|---|---|---|
schemaname | name | pg_namespace.nspname | name of schema containing table and index |
tablename | name | pg_class.relname | name of table the index is for |
indexname | name | pg_class.relname | name of index |
tablespace | name | pg_tablespace.spcname | name of tablespace containing index (NULL if default for database) |
indexdef | text | index definition (a reconstructed creation command) |
The view pg_locks provides access to information about the locks held by open transactions within the database server. See Chapter 11 for more discussion of locking.
pg_locks contains one row per active lockable object, requested lock mode, and relevant transaction. Thus, the same lockable object may appear many times, if multiple transactions are holding or waiting for locks on it. However, an object that currently has no locks on it will not appear at all. A lockable object is either a relation (e.g., a table) or a transaction ID.
Note that this view includes only table-level locks, not row-level ones. If a transaction is waiting for a row-level lock, it will appear in the view as waiting for the transaction ID of the current holder of that row lock.
Table 33. pg_locks Columns
Name | Type | References | Description |
---|---|---|---|
relation | oid | pg_class.oid | OID of the locked relation, or NULL if the lockable object is a transaction ID |
database | oid | pg_database.oid | OID of the database in which the locked relation exists, or zero if the locked relation is a globally-shared table, or NULL if the lockable object is a transaction ID |
transaction | xid | ID of a transaction, or NULL if the lockable object is a relation | |
pid | integer | process ID of a server process holding or awaiting this lock | |
mode | text | name of the lock mode held or desired by this process (see Section 11.3.1) | |
granted | boolean | true if lock is held, false if lock is awaited |
granted is true in a row representing a lock held by the indicated session. False indicates that this session is currently waiting to acquire this lock, which implies that some other session is holding a conflicting lock mode on the same lockable object. The waiting session will sleep until the other lock is released (or a deadlock situation is detected). A single session can be waiting to acquire at most one lock at a time.
Every transaction holds an exclusive lock on its transaction ID for its entire duration. If one transaction finds it necessary to wait specifically for another transaction, it does so by attempting to acquire share lock on the other transaction ID. That will succeed only when the other transaction terminates and releases its locks.
When the pg_locks view is accessed, the internal lock manager data structures are momentarily locked, and a copy is made for the view to display. This ensures that the view produces a consistent set of results, while not blocking normal lock manager operations longer than necessary. Nonetheless there could be some impact on database performance if this view is read often.
pg_locks provides a global view of all locks in the database cluster, not only those relevant to the current database. Although its relation column can be joined against pg_class.oid to identify locked relations, this will only work correctly for relations in the current database (those for which the database column is either the current database's OID or zero).
If you have enabled the statistics collector, the pid column can be joined to the procpid column of the pg_stat_activity view to get more information on the session holding or waiting to hold the lock.
The view pg_rules provides access to useful information about query rewrite rules.
Table 34. pg_rules Columns
Name | Type | References | Description |
---|---|---|---|
schemaname | name | pg_namespace.nspname | name of schema containing table |
tablename | name | pg_class.relname | name of table the rule is for |
rulename | name | pg_rewrite.rulename | name of rule |
definition | text | rule definition (a reconstructed creation command) |
The pg_rules view excludes the ON SELECT rules of views; those can be seen in pg_views.
The view pg_settings provides access to run-time parameters of the server. It is essentially an alternative interface to the SHOW and SET commands. It also provides access to some facts about each parameter that are not directly available from SHOW, such as minimum and maximum values.
Table 35. pg_settings Columns
Name | Type | References | Description |
---|---|---|---|
name | text | run-time configuration parameter name | |
setting | text | current value of the parameter | |
category | text | logical group of the parameter | |
short_desc | text | a brief description of the parameter | |
extra_desc | text | additional, more detailed, information about the parameter | |
context | text | context required to set the parameter's value | |
vartype | text | parameter type (bool, integer, real, or string) | |
source | text | source of the current parameter value | |
min_val | text | minimum allowed value of the parameter (NULL for nonnumeric values) | |
max_val | text | maximum allowed value of the parameter (NULL for nonnumeric values) |
The pg_settings view cannot be inserted into or deleted from, but it can be updated. An UPDATE applied to a row of pg_settings is equivalent to executing the SET command on that named parameter. The change only affects the value used by the current session. If an UPDATE is issued within a transaction that is later aborted, the effects of the UPDATE command disappear when the transaction is rolled back. Once the surrounding transaction is committed, the effects will persist until the end of the session, unless overridden by another UPDATE or SET.
The view pg_stats provides access to the information stored in the pg_statistic catalog. This view allows access only to rows of pg_statistic that correspond to tables the user has permission to read, and therefore it is safe to allow public read access to this view.
pg_stats is also designed to present the information in a more readable format than the underlying catalog — at the cost that its schema must be extended whenever new slot types are defined for pg_statistic.
Table 36. pg_stats Columns
Name | Type | References | Description |
---|---|---|---|
schemaname | name | pg_namespace.nspname | name of schema containing table |
tablename | name | pg_class.relname | name of table |
attname | name | pg_attribute.attname | name of the column described by this row |
null_frac | real | fraction of column entries that are null | |
avg_width | integer | average width in bytes of column's entries | |
n_distinct | real | If greater than zero, the estimated number of distinct values in the column. If less than zero, the negative of the number of distinct values divided by the number of rows. (The negated form is used when ANALYZE believes that the number of distinct values is likely to increase as the table grows; the positive form is used when the column seems to have a fixed number of possible values.) For example, -1 indicates a unique column in which the number of distinct values is the same as the number of rows. | |
most_common_vals | anyarray | A list of the most common values in the column. (NULL if no values seem to be more common than any others.) | |
most_common_freqs | real[] | A list of the frequencies of the most common values, i.e., number of occurrences of each divided by total number of rows. (NULL when most_common_vals is.) | |
histogram_bounds | anyarray | A list of values that divide the column's values into groups of approximately equal population. The values in most_common_vals, if present, are omitted from this histogram calculation. (This column is NULL if the column data type does not have a < operator or if the most_common_vals list accounts for the entire population.) | |
correlation | real | Statistical correlation between physical row ordering and logical ordering of the column values. This ranges from -1 to +1. When the value is near -1 or +1, an index scan on the column will be estimated to be cheaper than when it is near zero, due to reduction of random access to the disk. (This column is NULL if the column data type does not have a < operator.) |
The maximum number of entries in the most_common_vals and histogram_bounds arrays can be set on a column-by-column basis using the ALTER TABLE SET STATISTICS command, or globally by setting the default_statistics_target runtime parameter.
The view pg_tables provides access to useful information about each table in the database.
Table 37. pg_tables Columns
Name | Type | References | Description |
---|---|---|---|
schemaname | name | pg_namespace.nspname | name of schema containing table |
tablename | name | pg_class.relname | name of table |
tableowner | name | pg_shadow.usename | name of table's owner |
tablespace | name | pg_tablespace.spcname | name of tablespace containing table (NULL if default for database) |
hasindexes | boolean | pg_class.relhasindex | true if table has (or recently had) any indexes |
hasrules | boolean | pg_class.relhasrules | true if table has rules |
hastriggers | boolean | pg_class.reltriggers | true if table has triggers |
The view pg_user provides access to information about database users. This is simply a publicly readable view of pg_shadow that blanks out the password field.
Table 38. pg_user Columns
Name | Type | References | Description |
---|---|---|---|
usename | name | User name | |
usesysid | int4 | User id (arbitrary number used to reference this user) | |
usecreatedb | bool | User may create databases | |
usesuper | bool | User is a superuser | |
usecatupd | bool | User may update system catalogs. (Even a superuser may not do this unless this column is true.) | |
passwd | text | Not the password (always reads as ********) | |
valuntil | abstime | Account expiry time (only used for password authentication) | |
useconfig | text[] | Session defaults for run-time configuration variables |
The view pg_views provides access to useful information about each view in the database.
Table 39. pg_views Columns
Name | Type | References | Description |
---|---|---|---|
schemaname | name | pg_namespace.nspname | name of schema containing view |
viewname | name | pg_class.relname | name of view |
viewowner | name | pg_shadow.usename | name of view's owner |
definition | text | view definition (a reconstructed SELECT query) |