Provided by: postgresql-client-9.3_9.3.24-0ubuntu0.14.04_amd64 bug

NAME

       CREATE_TABLE - define a new table

SYNOPSIS

       CREATE [ [ GLOBAL | LOCAL ] { TEMPORARY | TEMP } | UNLOGGED ] TABLE [ IF NOT EXISTS ] table_name ( [
         { column_name data_type [ COLLATE collation ] [ column_constraint [ ... ] ]
           | table_constraint
           | LIKE source_table [ like_option ... ] }
           [, ... ]
       ] )
       [ INHERITS ( parent_table [, ... ] ) ]
       [ WITH ( storage_parameter [= value] [, ... ] ) | WITH OIDS | WITHOUT OIDS ]
       [ ON COMMIT { PRESERVE ROWS | DELETE ROWS | DROP } ]
       [ TABLESPACE tablespace_name ]

       CREATE [ [ GLOBAL | LOCAL ] { TEMPORARY | TEMP } | UNLOGGED ] TABLE [ IF NOT EXISTS ] table_name
           OF type_name [ (
         { column_name WITH OPTIONS [ column_constraint [ ... ] ]
           | table_constraint }
           [, ... ]
       ) ]
       [ WITH ( storage_parameter [= value] [, ... ] ) | WITH OIDS | WITHOUT OIDS ]
       [ ON COMMIT { PRESERVE ROWS | DELETE ROWS | DROP } ]
       [ TABLESPACE tablespace_name ]

       where column_constraint is:

       [ CONSTRAINT constraint_name ]
       { NOT NULL |
         NULL |
         CHECK ( expression ) [ NO INHERIT ] |
         DEFAULT default_expr |
         UNIQUE index_parameters |
         PRIMARY KEY index_parameters |
         REFERENCES reftable [ ( refcolumn ) ] [ MATCH FULL | MATCH PARTIAL | MATCH SIMPLE ]
           [ ON DELETE action ] [ ON UPDATE action ] }
       [ DEFERRABLE | NOT DEFERRABLE ] [ INITIALLY DEFERRED | INITIALLY IMMEDIATE ]

       and table_constraint is:

       [ CONSTRAINT constraint_name ]
       { CHECK ( expression ) [ NO INHERIT ] |
         UNIQUE ( column_name [, ... ] ) index_parameters |
         PRIMARY KEY ( column_name [, ... ] ) index_parameters |
         EXCLUDE [ USING index_method ] ( exclude_element WITH operator [, ... ] ) index_parameters [ WHERE ( predicate ) ] |
         FOREIGN KEY ( column_name [, ... ] ) REFERENCES reftable [ ( refcolumn [, ... ] ) ]
           [ MATCH FULL | MATCH PARTIAL | MATCH SIMPLE ] [ ON DELETE action ] [ ON UPDATE action ] }
       [ DEFERRABLE | NOT DEFERRABLE ] [ INITIALLY DEFERRED | INITIALLY IMMEDIATE ]

       and like_option is:

       { INCLUDING | EXCLUDING } { DEFAULTS | CONSTRAINTS | INDEXES | STORAGE | COMMENTS | ALL }

       index_parameters in UNIQUE, PRIMARY KEY, and EXCLUDE constraints are:

       [ WITH ( storage_parameter [= value] [, ... ] ) ]
       [ USING INDEX TABLESPACE tablespace_name ]

       exclude_element in an EXCLUDE constraint is:

       { column_name | ( expression ) } [ opclass ] [ ASC | DESC ] [ NULLS { FIRST | LAST } ]

DESCRIPTION

       CREATE TABLE will create a new, initially empty table in the current database. The table
       will be owned by the user issuing the command.

       If a schema name is given (for example, CREATE TABLE myschema.mytable ...) then the table
       is created in the specified schema. Otherwise it is created in the current schema.
       Temporary tables exist in a special schema, so a schema name cannot be given when creating
       a temporary table. The name of the table must be distinct from the name of any other
       table, sequence, index, view, or foreign table in the same schema.

       CREATE TABLE also automatically creates a data type that represents the composite type
       corresponding to one row of the table. Therefore, tables cannot have the same name as any
       existing data type in the same schema.

       The optional constraint clauses specify constraints (tests) that new or updated rows must
       satisfy for an insert or update operation to succeed. A constraint is an SQL object that
       helps define the set of valid values in the table in various ways.

       There are two ways to define constraints: table constraints and column constraints. A
       column constraint is defined as part of a column definition. A table constraint definition
       is not tied to a particular column, and it can encompass more than one column. Every
       column constraint can also be written as a table constraint; a column constraint is only a
       notational convenience for use when the constraint only affects one column.

       To be able to create a table, you must have USAGE privilege on all column types or the
       type in the OF clause, respectively.

PARAMETERS

       TEMPORARY or TEMP
           If specified, the table is created as a temporary table. Temporary tables are
           automatically dropped at the end of a session, or optionally at the end of the current
           transaction (see ON COMMIT below). Existing permanent tables with the same name are
           not visible to the current session while the temporary table exists, unless they are
           referenced with schema-qualified names. Any indexes created on a temporary table are
           automatically temporary as well.

           The autovacuum daemon cannot access and therefore cannot vacuum or analyze temporary
           tables. For this reason, appropriate vacuum and analyze operations should be performed
           via session SQL commands. For example, if a temporary table is going to be used in
           complex queries, it is wise to run ANALYZE on the temporary table after it is
           populated.

           Optionally, GLOBAL or LOCAL can be written before TEMPORARY or TEMP. This presently
           makes no difference in PostgreSQL and is deprecated; see COMPATIBILITY.

       UNLOGGED
           If specified, the table is created as an unlogged table. Data written to unlogged
           tables is not written to the write-ahead log (see Chapter 29, Reliability and the
           Write-Ahead Log, in the documentation), which makes them considerably faster than
           ordinary tables. However, they are not crash-safe: an unlogged table is automatically
           truncated after a crash or unclean shutdown. The contents of an unlogged table are
           also not replicated to standby servers. Any indexes created on an unlogged table are
           automatically unlogged as well.

       IF NOT EXISTS
           Do not throw an error if a relation with the same name already exists. A notice is
           issued in this case. Note that there is no guarantee that the existing relation is
           anything like the one that would have been created.

       table_name
           The name (optionally schema-qualified) of the table to be created.

       OF type_name
           Creates a typed table, which takes its structure from the specified composite type
           (name optionally schema-qualified). A typed table is tied to its type; for example the
           table will be dropped if the type is dropped (with DROP TYPE ... CASCADE).

           When a typed table is created, then the data types of the columns are determined by
           the underlying composite type and are not specified by the CREATE TABLE command. But
           the CREATE TABLE command can add defaults and constraints to the table and can specify
           storage parameters.

       column_name
           The name of a column to be created in the new table.

       data_type
           The data type of the column. This can include array specifiers. For more information
           on the data types supported by PostgreSQL, refer to Chapter 8, Data Types, in the
           documentation.

       COLLATE collation
           The COLLATE clause assigns a collation to the column (which must be of a collatable
           data type). If not specified, the column data type's default collation is used.

       INHERITS ( parent_table [, ... ] )
           The optional INHERITS clause specifies a list of tables from which the new table
           automatically inherits all columns.

           Use of INHERITS creates a persistent relationship between the new child table and its
           parent table(s). Schema modifications to the parent(s) normally propagate to children
           as well, and by default the data of the child table is included in scans of the
           parent(s).

           If the same column name exists in more than one parent table, an error is reported
           unless the data types of the columns match in each of the parent tables. If there is
           no conflict, then the duplicate columns are merged to form a single column in the new
           table. If the column name list of the new table contains a column name that is also
           inherited, the data type must likewise match the inherited column(s), and the column
           definitions are merged into one. If the new table explicitly specifies a default value
           for the column, this default overrides any defaults from inherited declarations of the
           column. Otherwise, any parents that specify default values for the column must all
           specify the same default, or an error will be reported.

           CHECK constraints are merged in essentially the same way as columns: if multiple
           parent tables and/or the new table definition contain identically-named CHECK
           constraints, these constraints must all have the same check expression, or an error
           will be reported. Constraints having the same name and expression will be merged into
           one copy. A constraint marked NO INHERIT in a parent will not be considered. Notice
           that an unnamed CHECK constraint in the new table will never be merged, since a unique
           name will always be chosen for it.

           Column STORAGE settings are also copied from parent tables.

       LIKE source_table [ like_option ... ]
           The LIKE clause specifies a table from which the new table automatically copies all
           column names, their data types, and their not-null constraints.

           Unlike INHERITS, the new table and original table are completely decoupled after
           creation is complete. Changes to the original table will not be applied to the new
           table, and it is not possible to include data of the new table in scans of the
           original table.

           Default expressions for the copied column definitions will be copied only if INCLUDING
           DEFAULTS is specified. The default behavior is to exclude default expressions,
           resulting in the copied columns in the new table having null defaults. Note that
           copying defaults that call database-modification functions, such as nextval, may
           create a functional linkage between the original and new tables.

           Not-null constraints are always copied to the new table.  CHECK constraints will be
           copied only if INCLUDING CONSTRAINTS is specified. No distinction is made between
           column constraints and table constraints.

           Indexes, PRIMARY KEY, UNIQUE, and EXCLUDE constraints on the original table will be
           created on the new table only if INCLUDING INDEXES is specified. Names for the new
           indexes and constraints are chosen according to the default rules, regardless of how
           the originals were named. (This behavior avoids possible duplicate-name failures for
           the new indexes.)

           STORAGE settings for the copied column definitions will be copied only if INCLUDING
           STORAGE is specified. The default behavior is to exclude STORAGE settings, resulting
           in the copied columns in the new table having type-specific default settings. For more
           on STORAGE settings, see Section 58.2, “TOAST”, in the documentation.

           Comments for the copied columns, constraints, and indexes will be copied only if
           INCLUDING COMMENTS is specified. The default behavior is to exclude comments,
           resulting in the copied columns and constraints in the new table having no comments.

           INCLUDING ALL is an abbreviated form of INCLUDING DEFAULTS INCLUDING CONSTRAINTS
           INCLUDING INDEXES INCLUDING STORAGE INCLUDING COMMENTS.

           Note that unlike INHERITS, columns and constraints copied by LIKE are not merged with
           similarly named columns and constraints. If the same name is specified explicitly or
           in another LIKE clause, an error is signaled.

           The LIKE clause can also be used to copy column definitions from views, foreign
           tables, or composite types. Inapplicable options (e.g., INCLUDING INDEXES from a view)
           are ignored.

       CONSTRAINT constraint_name
           An optional name for a column or table constraint. If the constraint is violated, the
           constraint name is present in error messages, so constraint names like col must be
           positive can be used to communicate helpful constraint information to client
           applications. (Double-quotes are needed to specify constraint names that contain
           spaces.) If a constraint name is not specified, the system generates a name.

       NOT NULL
           The column is not allowed to contain null values.

       NULL
           The column is allowed to contain null values. This is the default.

           This clause is only provided for compatibility with non-standard SQL databases. Its
           use is discouraged in new applications.

       CHECK ( expression ) [ NO INHERIT ]
           The CHECK clause specifies an expression producing a Boolean result which new or
           updated rows must satisfy for an insert or update operation to succeed. Expressions
           evaluating to TRUE or UNKNOWN succeed. Should any row of an insert or update operation
           produce a FALSE result an error exception is raised and the insert or update does not
           alter the database. A check constraint specified as a column constraint should
           reference that column's value only, while an expression appearing in a table
           constraint can reference multiple columns.

           Currently, CHECK expressions cannot contain subqueries nor refer to variables other
           than columns of the current row.

           A constraint marked with NO INHERIT will not propagate to child tables.

       DEFAULT default_expr
           The DEFAULT clause assigns a default data value for the column whose column definition
           it appears within. The value is any variable-free expression (subqueries and
           cross-references to other columns in the current table are not allowed). The data type
           of the default expression must match the data type of the column.

           The default expression will be used in any insert operation that does not specify a
           value for the column. If there is no default for a column, then the default is null.

       UNIQUE (column constraint), UNIQUE ( column_name [, ... ] ) (table constraint)
           The UNIQUE constraint specifies that a group of one or more columns of a table can
           contain only unique values. The behavior of the unique table constraint is the same as
           that for column constraints, with the additional capability to span multiple columns.

           For the purpose of a unique constraint, null values are not considered equal.

           Each unique table constraint must name a set of columns that is different from the set
           of columns named by any other unique or primary key constraint defined for the table.
           (Otherwise it would just be the same constraint listed twice.)

       PRIMARY KEY (column constraint), PRIMARY KEY ( column_name [, ... ] ) (table constraint)
           The PRIMARY KEY constraint specifies that a column or columns of a table can contain
           only unique (non-duplicate), nonnull values. Only one primary key can be specified for
           a table, whether as a column constraint or a table constraint.

           The primary key constraint should name a set of columns that is different from the set
           of columns named by any unique constraint defined for the same table. (Otherwise, the
           unique constraint is redundant and will be discarded.)

           PRIMARY KEY enforces the same data constraints as a combination of UNIQUE and NOT
           NULL, but identifying a set of columns as the primary key also provides metadata about
           the design of the schema, since a primary key implies that other tables can rely on
           this set of columns as a unique identifier for rows.

       EXCLUDE [ USING index_method ] ( exclude_element WITH operator [, ... ] ) index_parameters
       [ WHERE ( predicate ) ]
           The EXCLUDE clause defines an exclusion constraint, which guarantees that if any two
           rows are compared on the specified column(s) or expression(s) using the specified
           operator(s), not all of these comparisons will return TRUE. If all of the specified
           operators test for equality, this is equivalent to a UNIQUE constraint, although an
           ordinary unique constraint will be faster. However, exclusion constraints can specify
           constraints that are more general than simple equality. For example, you can specify a
           constraint that no two rows in the table contain overlapping circles (see Section 8.8,
           “Geometric Types”, in the documentation) by using the && operator.

           Exclusion constraints are implemented using an index, so each specified operator must
           be associated with an appropriate operator class (see Section 11.9, “Operator Classes
           and Operator Families”, in the documentation) for the index access method
           index_method. The operators are required to be commutative. Each exclude_element can
           optionally specify an operator class and/or ordering options; these are described
           fully under CREATE INDEX (CREATE_INDEX(7)).

           The access method must support amgettuple (see Chapter 54, Index Access Method
           Interface Definition, in the documentation); at present this means GIN cannot be used.
           Although it's allowed, there is little point in using B-tree or hash indexes with an
           exclusion constraint, because this does nothing that an ordinary unique constraint
           doesn't do better. So in practice the access method will always be GiST or SP-GiST.

           The predicate allows you to specify an exclusion constraint on a subset of the table;
           internally this creates a partial index. Note that parentheses are required around the
           predicate.

       REFERENCES reftable [ ( refcolumn ) ] [ MATCH matchtype ] [ ON DELETE action ] [ ON UPDATE
       action ] (column constraint), FOREIGN KEY ( column_name [, ... ] ) REFERENCES reftable [ (
       refcolumn [, ... ] ) ] [ MATCH matchtype ] [ ON DELETE action ] [ ON UPDATE action ]
       (table constraint)
           These clauses specify a foreign key constraint, which requires that a group of one or
           more columns of the new table must only contain values that match values in the
           referenced column(s) of some row of the referenced table. If the refcolumn list is
           omitted, the primary key of the reftable is used. The referenced columns must be the
           columns of a non-deferrable unique or primary key constraint in the referenced table.
           Note that foreign key constraints cannot be defined between temporary tables and
           permanent tables.

           A value inserted into the referencing column(s) is matched against the values of the
           referenced table and referenced columns using the given match type. There are three
           match types: MATCH FULL, MATCH PARTIAL, and MATCH SIMPLE (which is the default).
           MATCH FULL will not allow one column of a multicolumn foreign key to be null unless
           all foreign key columns are null; if they are all null, the row is not required to
           have a match in the referenced table.  MATCH SIMPLE allows any of the foreign key
           columns to be null; if any of them are null, the row is not required to have a match
           in the referenced table.  MATCH PARTIAL is not yet implemented. (Of course, NOT NULL
           constraints can be applied to the referencing column(s) to prevent these cases from
           arising.)

           In addition, when the data in the referenced columns is changed, certain actions are
           performed on the data in this table's columns. The ON DELETE clause specifies the
           action to perform when a referenced row in the referenced table is being deleted.
           Likewise, the ON UPDATE clause specifies the action to perform when a referenced
           column in the referenced table is being updated to a new value. If the row is updated,
           but the referenced column is not actually changed, no action is done. Referential
           actions other than the NO ACTION check cannot be deferred, even if the constraint is
           declared deferrable. There are the following possible actions for each clause:

           NO ACTION
               Produce an error indicating that the deletion or update would create a foreign key
               constraint violation. If the constraint is deferred, this error will be produced
               at constraint check time if there still exist any referencing rows. This is the
               default action.

           RESTRICT
               Produce an error indicating that the deletion or update would create a foreign key
               constraint violation. This is the same as NO ACTION except that the check is not
               deferrable.

           CASCADE
               Delete any rows referencing the deleted row, or update the values of the
               referencing column(s) to the new values of the referenced columns, respectively.

           SET NULL
               Set the referencing column(s) to null.

           SET DEFAULT
               Set the referencing column(s) to their default values. (There must be a row in the
               referenced table matching the default values, if they are not null, or the
               operation will fail.)

           If the referenced column(s) are changed frequently, it might be wise to add an index
           to the referencing column(s) so that referential actions associated with the foreign
           key constraint can be performed more efficiently.

       DEFERRABLE, NOT DEFERRABLE
           This controls whether the constraint can be deferred. A constraint that is not
           deferrable will be checked immediately after every command. Checking of constraints
           that are deferrable can be postponed until the end of the transaction (using the SET
           CONSTRAINTS (SET_CONSTRAINTS(7)) command).  NOT DEFERRABLE is the default. Currently,
           only UNIQUE, PRIMARY KEY, EXCLUDE, and REFERENCES (foreign key) constraints accept
           this clause.  NOT NULL and CHECK constraints are not deferrable.

       INITIALLY IMMEDIATE, INITIALLY DEFERRED
           If a constraint is deferrable, this clause specifies the default time to check the
           constraint. If the constraint is INITIALLY IMMEDIATE, it is checked after each
           statement. This is the default. If the constraint is INITIALLY DEFERRED, it is checked
           only at the end of the transaction. The constraint check time can be altered with the
           SET CONSTRAINTS (SET_CONSTRAINTS(7)) command.

       WITH ( storage_parameter [= value] [, ... ] )
           This clause specifies optional storage parameters for a table or index; see Storage
           Parameters for more information. The WITH clause for a table can also include
           OIDS=TRUE (or just OIDS) to specify that rows of the new table should have OIDs
           (object identifiers) assigned to them, or OIDS=FALSE to specify that the rows should
           not have OIDs. If OIDS is not specified, the default setting depends upon the
           default_with_oids configuration parameter. (If the new table inherits from any tables
           that have OIDs, then OIDS=TRUE is forced even if the command says OIDS=FALSE.)

           If OIDS=FALSE is specified or implied, the new table does not store OIDs and no OID
           will be assigned for a row inserted into it. This is generally considered worthwhile,
           since it will reduce OID consumption and thereby postpone the wraparound of the 32-bit
           OID counter. Once the counter wraps around, OIDs can no longer be assumed to be
           unique, which makes them considerably less useful. In addition, excluding OIDs from a
           table reduces the space required to store the table on disk by 4 bytes per row (on
           most machines), slightly improving performance.

           To remove OIDs from a table after it has been created, use ALTER TABLE
           (ALTER_TABLE(7)).

       WITH OIDS, WITHOUT OIDS
           These are obsolescent syntaxes equivalent to WITH (OIDS) and WITH (OIDS=FALSE),
           respectively. If you wish to give both an OIDS setting and storage parameters, you
           must use the WITH ( ... ) syntax; see above.

       ON COMMIT
           The behavior of temporary tables at the end of a transaction block can be controlled
           using ON COMMIT. The three options are:

           PRESERVE ROWS
               No special action is taken at the ends of transactions. This is the default
               behavior.

           DELETE ROWS
               All rows in the temporary table will be deleted at the end of each transaction
               block. Essentially, an automatic TRUNCATE(7) is done at each commit.

           DROP
               The temporary table will be dropped at the end of the current transaction block.

       TABLESPACE tablespace_name
           The tablespace_name is the name of the tablespace in which the new table is to be
           created. If not specified, default_tablespace is consulted, or temp_tablespaces if the
           table is temporary.

       USING INDEX TABLESPACE tablespace_name
           This clause allows selection of the tablespace in which the index associated with a
           UNIQUE, PRIMARY KEY, or EXCLUDE constraint will be created. If not specified,
           default_tablespace is consulted, or temp_tablespaces if the table is temporary.

   Storage Parameters
       The WITH clause can specify storage parameters for tables, and for indexes associated with
       a UNIQUE, PRIMARY KEY, or EXCLUDE constraint. Storage parameters for indexes are
       documented in CREATE INDEX (CREATE_INDEX(7)). The storage parameters currently available
       for tables are listed below. For each parameter, unless noted, there is an additional
       parameter with the same name prefixed with toast., which can be used to control the
       behavior of the table's secondary TOAST table, if any (see Section 58.2, “TOAST”, in the
       documentation for more information about TOAST). Note that the TOAST table inherits the
       autovacuum_* values from its parent table, if there are no toast.autovacuum_* settings
       set.

       fillfactor (integer)
           The fillfactor for a table is a percentage between 10 and 100. 100 (complete packing)
           is the default. When a smaller fillfactor is specified, INSERT operations pack table
           pages only to the indicated percentage; the remaining space on each page is reserved
           for updating rows on that page. This gives UPDATE a chance to place the updated copy
           of a row on the same page as the original, which is more efficient than placing it on
           a different page. For a table whose entries are never updated, complete packing is the
           best choice, but in heavily updated tables smaller fillfactors are appropriate. This
           parameter cannot be set for TOAST tables.

       autovacuum_enabled, toast.autovacuum_enabled (boolean)
           Enables or disables the autovacuum daemon on a particular table. If true, the
           autovacuum daemon will initiate a VACUUM operation on a particular table when the
           number of updated or deleted tuples exceeds autovacuum_vacuum_threshold plus
           autovacuum_vacuum_scale_factor times the number of live tuples currently estimated to
           be in the relation. Similarly, it will initiate an ANALYZE operation when the number
           of inserted, updated or deleted tuples exceeds autovacuum_analyze_threshold plus
           autovacuum_analyze_scale_factor times the number of live tuples currently estimated to
           be in the relation. If false, this table will not be autovacuumed, except to prevent
           transaction Id wraparound. See Section 23.1.5, “Preventing Transaction ID Wraparound
           Failures”, in the documentation for more about wraparound prevention. Observe that
           this variable inherits its value from the autovacuum setting.

       autovacuum_vacuum_threshold, toast.autovacuum_vacuum_threshold (integer)
           Minimum number of updated or deleted tuples before initiate a VACUUM operation on a
           particular table.

       autovacuum_vacuum_scale_factor, toast.autovacuum_vacuum_scale_factor (float4)
           Multiplier for reltuples to add to autovacuum_vacuum_threshold.

       autovacuum_analyze_threshold (integer)
           Minimum number of inserted, updated, or deleted tuples before initiate an ANALYZE
           operation on a particular table.

       autovacuum_analyze_scale_factor (float4)
           Multiplier for reltuples to add to autovacuum_analyze_threshold.

       autovacuum_vacuum_cost_delay, toast.autovacuum_vacuum_cost_delay (integer)
           Custom autovacuum_vacuum_cost_delay parameter.

       autovacuum_vacuum_cost_limit, toast.autovacuum_vacuum_cost_limit (integer)
           Custom autovacuum_vacuum_cost_limit parameter.

       autovacuum_freeze_min_age, toast.autovacuum_freeze_min_age (integer)
           Custom vacuum_freeze_min_age parameter. Note that autovacuum will ignore attempts to
           set a per-table autovacuum_freeze_min_age larger than half the system-wide
           autovacuum_freeze_max_age setting.

       autovacuum_freeze_max_age, toast.autovacuum_freeze_max_age (integer)
           Custom autovacuum_freeze_max_age parameter. Note that autovacuum will ignore attempts
           to set a per-table autovacuum_freeze_max_age larger than the system-wide setting (it
           can only be set smaller).

       autovacuum_freeze_table_age, toast.autovacuum_freeze_table_age (integer)
           Custom vacuum_freeze_table_age parameter.

       autovacuum_multixact_freeze_min_age, toast.autovacuum_multixact_freeze_min_age (integer)
           Custom vacuum_multixact_freeze_min_age parameter. Note that autovacuum will ignore
           attempts to set a per-table autovacuum_multixact_freeze_min_age larger than half the
           system-wide autovacuum_multixact_freeze_max_age setting.

       autovacuum_multixact_freeze_max_age, toast.autovacuum_multixact_freeze_max_age (integer)
           Custom autovacuum_multixact_freeze_max_age parameter. Note that autovacuum will ignore
           attempts to set a per-table autovacuum_multixact_freeze_max_age larger than the
           system-wide setting (it can only be set smaller).

       autovacuum_multixact_freeze_table_age, toast.autovacuum_multixact_freeze_table_age
       (integer)
           Custom vacuum_multixact_freeze_table_age parameter.

NOTES

       Using OIDs in new applications is not recommended: where possible, using a SERIAL or other
       sequence generator as the table's primary key is preferred. However, if your application
       does make use of OIDs to identify specific rows of a table, it is recommended to create a
       unique constraint on the oid column of that table, to ensure that OIDs in the table will
       indeed uniquely identify rows even after counter wraparound. Avoid assuming that OIDs are
       unique across tables; if you need a database-wide unique identifier, use the combination
       of tableoid and row OID for the purpose.

           Tip
           The use of OIDS=FALSE is not recommended for tables with no primary key, since without
           either an OID or a unique data key, it is difficult to identify specific rows.

       PostgreSQL automatically creates an index for each unique constraint and primary key
       constraint to enforce uniqueness. Thus, it is not necessary to create an index explicitly
       for primary key columns. (See CREATE INDEX (CREATE_INDEX(7)) for more information.)

       Unique constraints and primary keys are not inherited in the current implementation. This
       makes the combination of inheritance and unique constraints rather dysfunctional.

       A table cannot have more than 1600 columns. (In practice, the effective limit is usually
       lower because of tuple-length constraints.)

EXAMPLES

       Create table films and table distributors:

           CREATE TABLE films (
               code        char(5) CONSTRAINT firstkey PRIMARY KEY,
               title       varchar(40) NOT NULL,
               did         integer NOT NULL,
               date_prod   date,
               kind        varchar(10),
               len         interval hour to minute
           );

           CREATE TABLE distributors (
                did    integer PRIMARY KEY DEFAULT nextval('serial'),
                name   varchar(40) NOT NULL CHECK (name <> '')
           );

       Create a table with a 2-dimensional array:

           CREATE TABLE array_int (
               vector  int[][]
           );

       Define a unique table constraint for the table films. Unique table constraints can be
       defined on one or more columns of the table:

           CREATE TABLE films (
               code        char(5),
               title       varchar(40),
               did         integer,
               date_prod   date,
               kind        varchar(10),
               len         interval hour to minute,
               CONSTRAINT production UNIQUE(date_prod)
           );

       Define a check column constraint:

           CREATE TABLE distributors (
               did     integer CHECK (did > 100),
               name    varchar(40)
           );

       Define a check table constraint:

           CREATE TABLE distributors (
               did     integer,
               name    varchar(40),
               CONSTRAINT con1 CHECK (did > 100 AND name <> '')
           );

       Define a primary key table constraint for the table films:

           CREATE TABLE films (
               code        char(5),
               title       varchar(40),
               did         integer,
               date_prod   date,
               kind        varchar(10),
               len         interval hour to minute,
               CONSTRAINT code_title PRIMARY KEY(code,title)
           );

       Define a primary key constraint for table distributors. The following two examples are
       equivalent, the first using the table constraint syntax, the second the column constraint
       syntax:

           CREATE TABLE distributors (
               did     integer,
               name    varchar(40),
               PRIMARY KEY(did)
           );

           CREATE TABLE distributors (
               did     integer PRIMARY KEY,
               name    varchar(40)
           );

       Assign a literal constant default value for the column name, arrange for the default value
       of column did to be generated by selecting the next value of a sequence object, and make
       the default value of modtime be the time at which the row is inserted:

           CREATE TABLE distributors (
               name      varchar(40) DEFAULT 'Luso Films',
               did       integer DEFAULT nextval('distributors_serial'),
               modtime   timestamp DEFAULT current_timestamp
           );

       Define two NOT NULL column constraints on the table distributors, one of which is
       explicitly given a name:

           CREATE TABLE distributors (
               did     integer CONSTRAINT no_null NOT NULL,
               name    varchar(40) NOT NULL
           );

       Define a unique constraint for the name column:

           CREATE TABLE distributors (
               did     integer,
               name    varchar(40) UNIQUE
           );

       The same, specified as a table constraint:

           CREATE TABLE distributors (
               did     integer,
               name    varchar(40),
               UNIQUE(name)
           );

       Create the same table, specifying 70% fill factor for both the table and its unique index:

           CREATE TABLE distributors (
               did     integer,
               name    varchar(40),
               UNIQUE(name) WITH (fillfactor=70)
           )
           WITH (fillfactor=70);

       Create table circles with an exclusion constraint that prevents any two circles from
       overlapping:

           CREATE TABLE circles (
               c circle,
               EXCLUDE USING gist (c WITH &&)
           );

       Create table cinemas in tablespace diskvol1:

           CREATE TABLE cinemas (
                   id serial,
                   name text,
                   location text
           ) TABLESPACE diskvol1;

       Create a composite type and a typed table:

           CREATE TYPE employee_type AS (name text, salary numeric);

           CREATE TABLE employees OF employee_type (
               PRIMARY KEY (name),
               salary WITH OPTIONS DEFAULT 1000
           );

COMPATIBILITY

       The CREATE TABLE command conforms to the SQL standard, with exceptions listed below.

   Temporary Tables
       Although the syntax of CREATE TEMPORARY TABLE resembles that of the SQL standard, the
       effect is not the same. In the standard, temporary tables are defined just once and
       automatically exist (starting with empty contents) in every session that needs them.
       PostgreSQL instead requires each session to issue its own CREATE TEMPORARY TABLE command
       for each temporary table to be used. This allows different sessions to use the same
       temporary table name for different purposes, whereas the standard's approach constrains
       all instances of a given temporary table name to have the same table structure.

       The standard's definition of the behavior of temporary tables is widely ignored.
       PostgreSQL's behavior on this point is similar to that of several other SQL databases.

       The SQL standard also distinguishes between global and local temporary tables, where a
       local temporary table has a separate set of contents for each SQL module within each
       session, though its definition is still shared across sessions. Since PostgreSQL does not
       support SQL modules, this distinction is not relevant in PostgreSQL.

       For compatibility's sake, PostgreSQL will accept the GLOBAL and LOCAL keywords in a
       temporary table declaration, but they currently have no effect. Use of these keywords is
       discouraged, since future versions of PostgreSQL might adopt a more standard-compliant
       interpretation of their meaning.

       The ON COMMIT clause for temporary tables also resembles the SQL standard, but has some
       differences. If the ON COMMIT clause is omitted, SQL specifies that the default behavior
       is ON COMMIT DELETE ROWS. However, the default behavior in PostgreSQL is ON COMMIT
       PRESERVE ROWS. The ON COMMIT DROP option does not exist in SQL.

   Non-deferred Uniqueness Constraints
       When a UNIQUE or PRIMARY KEY constraint is not deferrable, PostgreSQL checks for
       uniqueness immediately whenever a row is inserted or modified. The SQL standard says that
       uniqueness should be enforced only at the end of the statement; this makes a difference
       when, for example, a single command updates multiple key values. To obtain
       standard-compliant behavior, declare the constraint as DEFERRABLE but not deferred (i.e.,
       INITIALLY IMMEDIATE). Be aware that this can be significantly slower than immediate
       uniqueness checking.

   Column Check Constraints
       The SQL standard says that CHECK column constraints can only refer to the column they
       apply to; only CHECK table constraints can refer to multiple columns.  PostgreSQL does not
       enforce this restriction; it treats column and table check constraints alike.

   EXCLUDE Constraint
       The EXCLUDE constraint type is a PostgreSQL extension.

   NULL “Constraint”
       The NULL “constraint” (actually a non-constraint) is a PostgreSQL extension to the SQL
       standard that is included for compatibility with some other database systems (and for
       symmetry with the NOT NULL constraint). Since it is the default for any column, its
       presence is simply noise.

   Inheritance
       Multiple inheritance via the INHERITS clause is a PostgreSQL language extension. SQL:1999
       and later define single inheritance using a different syntax and different semantics.
       SQL:1999-style inheritance is not yet supported by PostgreSQL.

   Zero-column Tables
       PostgreSQL allows a table of no columns to be created (for example, CREATE TABLE foo();).
       This is an extension from the SQL standard, which does not allow zero-column tables.
       Zero-column tables are not in themselves very useful, but disallowing them creates odd
       special cases for ALTER TABLE DROP COLUMN, so it seems cleaner to ignore this spec
       restriction.

   LIKE Clause
       While a LIKE clause exists in the SQL standard, many of the options that PostgreSQL
       accepts for it are not in the standard, and some of the standard's options are not
       implemented by PostgreSQL.

   WITH Clause
       The WITH clause is a PostgreSQL extension; neither storage parameters nor OIDs are in the
       standard.

   Tablespaces
       The PostgreSQL concept of tablespaces is not part of the standard. Hence, the clauses
       TABLESPACE and USING INDEX TABLESPACE are extensions.

   Typed Tables
       Typed tables implement a subset of the SQL standard. According to the standard, a typed
       table has columns corresponding to the underlying composite type as well as one other
       column that is the “self-referencing column”. PostgreSQL does not support these
       self-referencing columns explicitly, but the same effect can be had using the OID feature.

SEE ALSO

       ALTER TABLE (ALTER_TABLE(7)), DROP TABLE (DROP_TABLE(7)), CREATE TABLE AS
       (CREATE_TABLE_AS(7)), CREATE TABLESPACE (CREATE_TABLESPACE(7)), CREATE TYPE
       (CREATE_TYPE(7))