CREATE TYPE
CREATE TYPE — define a new data type
Synopsis
CREATE TYPEname
AS ( [attribute_name
data_type
[ COLLATEcollation
] [, ... ] ] ) CREATE TYPEname
AS ENUM ( [ 'label
' [, ... ] ] ) CREATE TYPEname
AS RANGE ( SUBTYPE =subtype
[ , SUBTYPE_OPCLASS =subtype_operator_class
] [ , COLLATION =collation
] [ , CANONICAL =canonical_function
] [ , SUBTYPE_DIFF =subtype_diff_function
] ) CREATE TYPEname
( INPUT =input_function
, OUTPUT =output_function
[ , RECEIVE =receive_function
] [ , SEND =send_function
] [ , TYPMOD_IN =type_modifier_input_function
] [ , TYPMOD_OUT =type_modifier_output_function
] [ , ANALYZE =analyze_function
] [ , INTERNALLENGTH = {internallength
| VARIABLE } ] [ , PASSEDBYVALUE ] [ , ALIGNMENT =alignment
] [ , STORAGE =storage
] [ , LIKE =like_type
] [ , CATEGORY =category
] [ , PREFERRED =preferred
] [ , DEFAULT =default
] [ , ELEMENT =element
] [ , DELIMITER =delimiter
] [ , COLLATABLE =collatable
] ) CREATE TYPEname
Description
CREATE TYPE
registers a new data type for use in the current database. The user who defines a type becomes its owner.
If a schema name is given then the type is created in the specified schema. Otherwise it is created in the current schema. The type name must be distinct from the name of any existing type or domain in the same schema. (Because tables have associated data types, the type name must also be distinct from the name of any existing table in the same schema.)
There are five forms of CREATE TYPE
, as shown in the syntax synopsis above. They respectively create a composite type, an enum type, a range type, a base type, or a shell type. The first four of these are discussed in turn below. A shell type is simply a placeholder for a type to be defined later; it is created by issuing CREATE TYPE
with no parameters except for the type name. Shell types are needed as forward references when creating range types and base types, as discussed in those sections.
Composite Types
The first form of CREATE TYPE
creates a composite type. The composite type is specified by a list of attribute names and data types. An attribute's collation can be specified too, if its data type is collatable. A composite type is essentially the same as the row type of a table, but using CREATE TYPE
avoids the need to create an actual table when all that is wanted is to define a type. A stand-alone composite type is useful, for example, as the argument or return type of a function.
To be able to create a composite type, you must have USAGE
privilege on all attribute types.
Enumerated Types
The second form of CREATE TYPE
creates an enumerated (enum) type, as described in Section 8.7. Enum types take a list of quoted labels, each of which must be less than NAMEDATALEN
bytes long (64 bytes in a standard Postgres Pro build). (It is possible to create an enumerated type with zero labels, but such a type cannot be used to hold values before at least one label is added using ALTER TYPE.)
Range Types
The third form of CREATE TYPE
creates a new range type, as described in Section 8.17.
The range type's subtype
can be any type with an associated b-tree operator class (to determine the ordering of values for the range type). Normally the subtype's default b-tree operator class is used to determine ordering; to use a non-default operator class, specify its name with subtype_opclass
. If the subtype is collatable, and you want to use a non-default collation in the range's ordering, specify the desired collation with the collation
option.
The optional canonical
function must take one argument of the range type being defined, and return a value of the same type. This is used to convert range values to a canonical form, when applicable. See Section 8.17.8 for more information. Creating a canonical
function is a bit tricky, since it must be defined before the range type can be declared. To do this, you must first create a shell type, which is a placeholder type that has no properties except a name and an owner. This is done by issuing the command CREATE TYPE
, with no additional parameters. Then the function can be declared using the shell type as argument and result, and finally the range type can be declared using the same name. This automatically replaces the shell type entry with a valid range type. name
The optional subtype_diff
function must take two values of the subtype
type as argument, and return a double precision
value representing the difference between the two given values. While this is optional, providing it allows much greater efficiency of GiST indexes on columns of the range type. See Section 8.17.8 for more information.
Base Types
The fourth form of CREATE TYPE
creates a new base type (scalar type). To create a new base type, you must be a superuser. (This restriction is made because an erroneous type definition could confuse or even crash the server.)
The parameters can appear in any order, not only that illustrated above, and most are optional. You must register two or more functions (using CREATE FUNCTION
) before defining the type. The support functions input_function
and output_function
are required, while the functions receive_function
, send_function
, type_modifier_input_function
, type_modifier_output_function
and analyze_function
are optional. Generally these functions have to be coded in C or another low-level language.
The input_function
converts the type's external textual representation to the internal representation used by the operators and functions defined for the type. output_function
performs the reverse transformation. The input function can be declared as taking one argument of type cstring
, or as taking three arguments of types cstring
, oid
, integer
. The first argument is the input text as a C string, the second argument is the type's own OID (except for array types, which instead receive their element type's OID), and the third is the typmod
of the destination column, if known (-1 will be passed if not). The input function must return a value of the data type itself. Usually, an input function should be declared STRICT; if it is not, it will be called with a NULL first parameter when reading a NULL input value. The function must still return NULL in this case, unless it raises an error. (This case is mainly meant to support domain input functions, which might need to reject NULL inputs.) The output function must be declared as taking one argument of the new data type. The output function must return type cstring
. Output functions are not invoked for NULL values.
The optional receive_function
converts the type's external binary representation to the internal representation. If this function is not supplied, the type cannot participate in binary input. The binary representation should be chosen to be cheap to convert to internal form, while being reasonably portable. (For example, the standard integer data types use network byte order as the external binary representation, while the internal representation is in the machine's native byte order.) The receive function should perform adequate checking to ensure that the value is valid. The receive function can be declared as taking one argument of type internal
, or as taking three arguments of types internal
, oid
, integer
. The first argument is a pointer to a StringInfo
buffer holding the received byte string; the optional arguments are the same as for the text input function. The receive function must return a value of the data type itself. Usually, a receive function should be declared STRICT; if it is not, it will be called with a NULL first parameter when reading a NULL input value. The function must still return NULL in this case, unless it raises an error. (This case is mainly meant to support domain receive functions, which might need to reject NULL inputs.) Similarly, the optional send_function
converts from the internal representation to the external binary representation. If this function is not supplied, the type cannot participate in binary output. The send function must be declared as taking one argument of the new data type. The send function must return type bytea
. Send functions are not invoked for NULL values.
You should at this point be wondering how the input and output functions can be declared to have results or arguments of the new type, when they have to be created before the new type can be created. The answer is that the type should first be defined as a shell type, which is a placeholder type that has no properties except a name and an owner. This is done by issuing the command CREATE TYPE
, with no additional parameters. Then the C I/O functions can be defined referencing the shell type. Finally, name
CREATE TYPE
with a full definition replaces the shell entry with a complete, valid type definition, after which the new type can be used normally.
The optional type_modifier_input_function
and type_modifier_output_function
are needed if the type supports modifiers, that is optional constraints attached to a type declaration, such as char(5)
or numeric(30,2)
. Postgres Pro allows user-defined types to take one or more simple constants or identifiers as modifiers. However, this information must be capable of being packed into a single non-negative integer value for storage in the system catalogs. The type_modifier_input_function
is passed the declared modifier(s) in the form of a cstring
array. It must check the values for validity (throwing an error if they are wrong), and if they are correct, return a single non-negative integer
value that will be stored as the column “typmod”. Type modifiers will be rejected if the type does not have a type_modifier_input_function
. The type_modifier_output_function
converts the internal integer typmod value back to the correct form for user display. It must return a cstring
value that is the exact string to append to the type name; for example numeric
's function might return (30,2)
. It is allowed to omit the type_modifier_output_function
, in which case the default display format is just the stored typmod integer value enclosed in parentheses.
The optional analyze_function
performs type-specific statistics collection for columns of the data type. By default, ANALYZE
will attempt to gather statistics using the type's “equals” and “less-than” operators, if there is a default b-tree operator class for the type. For non-scalar types this behavior is likely to be unsuitable, so it can be overridden by specifying a custom analysis function. The analysis function must be declared to take a single argument of type internal
, and return a boolean
result.
While the details of the new type's internal representation are only known to the I/O functions and other functions you create to work with the type, there are several properties of the internal representation that must be declared to Postgres Pro. Foremost of these is internallength
. Base data types can be fixed-length, in which case internallength
is a positive integer, or variable-length, indicated by setting internallength
to VARIABLE
. (Internally, this is represented by setting typlen
to -1.) The internal representation of all variable-length types must start with a 4-byte integer giving the total length of this value of the type. (Note that the length field is often encoded, as described in Section 65.2; it's unwise to access it directly.)
The optional flag PASSEDBYVALUE
indicates that values of this data type are passed by value, rather than by reference. Types passed by value must be fixed-length, and their internal representation cannot be larger than the size of the Datum
type (4 bytes on some machines, 8 bytes on others).
The alignment
parameter specifies the storage alignment required for the data type. The allowed values equate to alignment on 1, 2, 4, or 8 byte boundaries. Note that variable-length types must have an alignment of at least 4, since they necessarily contain an int4
as their first component.
The storage
parameter allows selection of storage strategies for variable-length data types. (Only plain
is allowed for fixed-length types.) plain
specifies that data of the type will always be stored in-line and not compressed. extended
specifies that the system will first try to compress a long data value, and will move the value out of the main table row if it's still too long. external
allows the value to be moved out of the main table, but the system will not try to compress it. main
allows compression, but discourages moving the value out of the main table. (Data items with this storage strategy might still be moved out of the main table if there is no other way to make a row fit, but they will be kept in the main table preferentially over extended
and external
items.)
All storage
values other than plain
imply that the functions of the data type can handle values that have been toasted, as described in Section 65.2 and Section 35.13.1. The specific other value given merely determines the default TOAST storage strategy for columns of a toastable data type; users can pick other strategies for individual columns using ALTER TABLE SET STORAGE
.
The like_type
parameter provides an alternative method for specifying the basic representation properties of a data type: copy them from some existing type. The values of internallength
, passedbyvalue
, alignment
, and storage
are copied from the named type. (It is possible, though usually undesirable, to override some of these values by specifying them along with the LIKE
clause.) Specifying representation this way is especially useful when the low-level implementation of the new type “piggybacks” on an existing type in some fashion.
The category
and preferred
parameters can be used to help control which implicit cast will be applied in ambiguous situations. Each data type belongs to a category named by a single ASCII character, and each type is either “preferred” or not within its category. The parser will prefer casting to preferred types (but only from other types within the same category) when this rule is helpful in resolving overloaded functions or operators. For more details see Chapter 10. For types that have no implicit casts to or from any other types, it is sufficient to leave these settings at the defaults. However, for a group of related types that have implicit casts, it is often helpful to mark them all as belonging to a category and select one or two of the “most general” types as being preferred within the category. The category
parameter is especially useful when adding a user-defined type to an existing built-in category, such as the numeric or string types. However, it is also possible to create new entirely-user-defined type categories. Select any ASCII character other than an upper-case letter to name such a category.
A default value can be specified, in case a user wants columns of the data type to default to something other than the null value. Specify the default with the DEFAULT
key word. (Such a default can be overridden by an explicit DEFAULT
clause attached to a particular column.)
To indicate that a type is an array, specify the type of the array elements using the ELEMENT
key word. For example, to define an array of 4-byte integers (int4
), specify ELEMENT = int4
. More details about array types appear below.
To indicate the delimiter to be used between values in the external representation of arrays of this type, delimiter
can be set to a specific character. The default delimiter is the comma (,
). Note that the delimiter is associated with the array element type, not the array type itself.
If the optional Boolean parameter collatable
is true, column definitions and expressions of the type may carry collation information through use of the COLLATE
clause. It is up to the implementations of the functions operating on the type to actually make use of the collation information; this does not happen automatically merely by marking the type collatable.
Array Types
Whenever a user-defined type is created, Postgres Pro automatically creates an associated array type, whose name consists of the element type's name prepended with an underscore, and truncated if necessary to keep it less than NAMEDATALEN
bytes long. (If the name so generated collides with an existing type name, the process is repeated until a non-colliding name is found.) This implicitly-created array type is variable length and uses the built-in input and output functions array_in
and array_out
. The array type tracks any changes in its element type's owner or schema, and is dropped if the element type is.
You might reasonably ask why there is an ELEMENT
option, if the system makes the correct array type automatically. The only case where it's useful to use ELEMENT
is when you are making a fixed-length type that happens to be internally an array of a number of identical things, and you want to allow these things to be accessed directly by subscripting, in addition to whatever operations you plan to provide for the type as a whole. For example, type point
is represented as just two floating-point numbers, which can be accessed using point[0]
and point[1]
. Note that this facility only works for fixed-length types whose internal form is exactly a sequence of identical fixed-length fields. A subscriptable variable-length type must have the generalized internal representation used by array_in
and array_out
. For historical reasons (i.e., this is clearly wrong but it's far too late to change it), subscripting of fixed-length array types starts from zero, rather than from one as for variable-length arrays.
Parameters
name
The name (optionally schema-qualified) of a type to be created.
attribute_name
The name of an attribute (column) for the composite type.
data_type
The name of an existing data type to become a column of the composite type.
collation
The name of an existing collation to be associated with a column of a composite type, or with a range type.
label
A string literal representing the textual label associated with one value of an enum type.
subtype
The name of the element type that the range type will represent ranges of.
subtype_operator_class
The name of a b-tree operator class for the subtype.
canonical_function
The name of the canonicalization function for the range type.
subtype_diff_function
The name of a difference function for the subtype.
input_function
The name of a function that converts data from the type's external textual form to its internal form.
output_function
The name of a function that converts data from the type's internal form to its external textual form.
receive_function
The name of a function that converts data from the type's external binary form to its internal form.
send_function
The name of a function that converts data from the type's internal form to its external binary form.
type_modifier_input_function
The name of a function that converts an array of modifier(s) for the type into internal form.
type_modifier_output_function
The name of a function that converts the internal form of the type's modifier(s) to external textual form.
analyze_function
The name of a function that performs statistical analysis for the data type.
internallength
A numeric constant that specifies the length in bytes of the new type's internal representation. The default assumption is that it is variable-length.
alignment
The storage alignment requirement of the data type. If specified, it must be
char
,int2
,int4
, ordouble
; the default isint4
.storage
The storage strategy for the data type. If specified, must be
plain
,external
,extended
, ormain
; the default isplain
.like_type
The name of an existing data type that the new type will have the same representation as. The values of
internallength
,passedbyvalue
,alignment
, andstorage
are copied from that type, unless overridden by explicit specification elsewhere in thisCREATE TYPE
command.category
The category code (a single ASCII character) for this type. The default is
'U'
for “user-defined type”. Other standard category codes can be found in Table 49.64. You may also choose other ASCII characters in order to create custom categories.preferred
True if this type is a preferred type within its type category, else false. The default is false. Be very careful about creating a new preferred type within an existing type category, as this could cause surprising changes in behavior.
default
The default value for the data type. If this is omitted, the default is null.
element
The type being created is an array; this specifies the type of the array elements.
delimiter
The delimiter character to be used between values in arrays made of this type.
collatable
True if this type's operations can use collation information. The default is false.
Notes
Because there are no restrictions on use of a data type once it's been created, creating a base type or range type is tantamount to granting public execute permission on the functions mentioned in the type definition. This is usually not an issue for the sorts of functions that are useful in a type definition. But you might want to think twice before designing a type in a way that would require “secret” information to be used while converting it to or from external form.
Before PostgreSQL version 8.3, the name of a generated array type was always exactly the element type's name with one underscore character (_
) prepended. (Type names were therefore restricted in length to one fewer character than other names.) While this is still usually the case, the array type name may vary from this in case of maximum-length names or collisions with user type names that begin with underscore. Writing code that depends on this convention is therefore deprecated. Instead, use pg_type
.typarray
to locate the array type associated with a given type.
It may be advisable to avoid using type and table names that begin with underscore. While the server will change generated array type names to avoid collisions with user-given names, there is still risk of confusion, particularly with old client software that may assume that type names beginning with underscores always represent arrays.
Before PostgreSQL version 8.2, the shell-type creation syntax CREATE TYPE
did not exist. The way to create a new base type was to create its input function first. In this approach, Postgres Pro will first see the name of the new data type as the return type of the input function. The shell type is implicitly created in this situation, and then it can be referenced in the definitions of the remaining I/O functions. This approach still works, but is deprecated and might be disallowed in some future release. Also, to avoid accidentally cluttering the catalogs with shell types as a result of simple typos in function definitions, a shell type will only be made this way when the input function is written in C. name
In PostgreSQL versions before 7.3, it was customary to avoid creating a shell type at all, by replacing the functions' forward references to the type name with the placeholder pseudo-type opaque
. The cstring
arguments and results also had to be declared as opaque
before 7.3. To support loading of old dump files, CREATE TYPE
will accept I/O functions declared using opaque
, but it will issue a notice and change the function declarations to use the correct types.
Examples
This example creates a composite type and uses it in a function definition:
CREATE TYPE compfoo AS (f1 int, f2 text); CREATE FUNCTION getfoo() RETURNS SETOF compfoo AS $$ SELECT fooid, fooname FROM foo $$ LANGUAGE SQL;
This example creates an enumerated type and uses it in a table definition:
CREATE TYPE bug_status AS ENUM ('new', 'open', 'closed'); CREATE TABLE bug ( id serial, description text, status bug_status );
This example creates a range type:
CREATE TYPE float8_range AS RANGE (subtype = float8, subtype_diff = float8mi);
This example creates the base data type box
and then uses the type in a table definition:
CREATE TYPE box; CREATE FUNCTION my_box_in_function(cstring) RETURNS box AS ... ; CREATE FUNCTION my_box_out_function(box) RETURNS cstring AS ... ; CREATE TYPE box ( INTERNALLENGTH = 16, INPUT = my_box_in_function, OUTPUT = my_box_out_function ); CREATE TABLE myboxes ( id integer, description box );
If the internal structure of box
were an array of four float4
elements, we might instead use:
CREATE TYPE box ( INTERNALLENGTH = 16, INPUT = my_box_in_function, OUTPUT = my_box_out_function, ELEMENT = float4 );
which would allow a box value's component numbers to be accessed by subscripting. Otherwise the type behaves the same as before.
This example creates a large object type and uses it in a table definition:
CREATE TYPE bigobj ( INPUT = lo_filein, OUTPUT = lo_fileout, INTERNALLENGTH = VARIABLE ); CREATE TABLE big_objs ( id integer, obj bigobj );
More examples, including suitable input and output functions, are in Section 35.13.
Compatibility
The first form of the CREATE TYPE
command, which creates a composite type, conforms to the SQL standard. The other forms are Postgres Pro extensions. The CREATE TYPE
statement in the SQL standard also defines other forms that are not implemented in Postgres Pro.
The ability to create a composite type with zero attributes is a Postgres Pro-specific deviation from the standard (analogous to the same case in CREATE TABLE
).