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+<!--
+doc/src/sgml/ref/create_domain.sgml
+PostgreSQL documentation
+-->
+
+<refentry id="sql-createdomain">
+ <indexterm zone="sql-createdomain">
+ <primary>CREATE DOMAIN</primary>
+ </indexterm>
+
+ <refmeta>
+ <refentrytitle>CREATE DOMAIN</refentrytitle>
+ <manvolnum>7</manvolnum>
+ <refmiscinfo>SQL - Language Statements</refmiscinfo>
+ </refmeta>
+
+ <refnamediv>
+ <refname>CREATE DOMAIN</refname>
+ <refpurpose>define a new domain</refpurpose>
+ </refnamediv>
+
+ <refsynopsisdiv>
+<synopsis>
+CREATE DOMAIN <replaceable class="parameter">name</replaceable> [ AS ] <replaceable class="parameter">data_type</replaceable>
+ [ COLLATE <replaceable>collation</replaceable> ]
+ [ DEFAULT <replaceable>expression</replaceable> ]
+ [ <replaceable class="parameter">constraint</replaceable> [ ... ] ]
+
+<phrase>where <replaceable class="parameter">constraint</replaceable> is:</phrase>
+
+[ CONSTRAINT <replaceable class="parameter">constraint_name</replaceable> ]
+{ NOT NULL | NULL | CHECK (<replaceable class="parameter">expression</replaceable>) }
+</synopsis>
+ </refsynopsisdiv>
+
+ <refsect1>
+ <title>Description</title>
+
+ <para>
+ <command>CREATE DOMAIN</command> creates a new domain. A domain is
+ essentially a data type with optional constraints (restrictions on
+ the allowed set of values).
+ The user who defines a domain becomes its owner.
+ </para>
+
+ <para>
+ If a schema name is given (for example, <literal>CREATE DOMAIN
+ myschema.mydomain ...</literal>) then the domain is created in the
+ specified schema. Otherwise it is created in the current schema.
+ The domain name must be unique among the types and domains existing
+ in its schema.
+ </para>
+
+ <para>
+ Domains are useful for abstracting common constraints on fields into
+ a single location for maintenance. For example, several tables might
+ contain email address columns, all requiring the same CHECK constraint
+ to verify the address syntax.
+ Define a domain rather than setting up each table's constraint
+ individually.
+ </para>
+
+ <para>
+ To be able to create a domain, you must have <literal>USAGE</literal>
+ privilege on the underlying type.
+ </para>
+ </refsect1>
+
+ <refsect1>
+ <title>Parameters</title>
+
+ <variablelist>
+ <varlistentry>
+ <term><replaceable class="parameter">name</replaceable></term>
+ <listitem>
+ <para>
+ The name (optionally schema-qualified) of a domain to be created.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><replaceable class="parameter">data_type</replaceable></term>
+ <listitem>
+ <para>
+ The underlying data type of the domain. This can include array
+ specifiers.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><replaceable>collation</replaceable></term>
+ <listitem>
+ <para>
+ An optional collation for the domain. If no collation is
+ specified, the domain has the same collation behavior as its
+ underlying data type.
+ The underlying type must be collatable if <literal>COLLATE</literal>
+ is specified.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><literal>DEFAULT <replaceable>expression</replaceable></literal></term>
+
+ <listitem>
+ <para>
+ The <literal>DEFAULT</literal> clause specifies a default value for
+ columns of the domain data type. The value is any
+ variable-free expression (but subqueries are not allowed).
+ The data type of the default expression must match the data
+ type of the domain. If no default value is specified, then
+ the default value is the null value.
+ </para>
+
+ <para>
+ The default expression will be used in any insert operation
+ that does not specify a value for the column. If a default
+ value is defined for a particular column, it overrides any
+ default associated with the domain. In turn, the domain
+ default overrides any default value associated with the
+ underlying data type.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><literal>CONSTRAINT <replaceable class="parameter">constraint_name</replaceable></literal></term>
+ <listitem>
+ <para>
+ An optional name for a constraint. If not specified,
+ the system generates a name.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><literal>NOT NULL</literal></term>
+ <listitem>
+ <para>
+ Values of this domain are prevented from being null
+ (but see notes below).
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><literal>NULL</literal></term>
+ <listitem>
+ <para>
+ Values of this domain are allowed to be null. This is the default.
+ </para>
+
+ <para>
+ This clause is only intended for compatibility with
+ nonstandard SQL databases. Its use is discouraged in new
+ applications.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><literal>CHECK (<replaceable class="parameter">expression</replaceable>)</literal></term>
+ <listitem>
+ <para><literal>CHECK</literal> clauses specify integrity constraints or tests
+ which values of the domain must satisfy.
+ Each constraint must be an expression
+ producing a Boolean result. It should use the key word <literal>VALUE</literal>
+ to refer to the value being tested. Expressions evaluating
+ to TRUE or UNKNOWN succeed. If the expression produces a FALSE result,
+ an error is reported and the value is not allowed to be converted
+ to the domain type.
+ </para>
+
+ <para>
+ Currently, <literal>CHECK</literal> expressions cannot contain
+ subqueries nor refer to variables other than <literal>VALUE</literal>.
+ </para>
+
+ <para>
+ When a domain has multiple <literal>CHECK</literal> constraints,
+ they will be tested in alphabetical order by name.
+ (<productname>PostgreSQL</productname> versions before 9.5 did not honor any
+ particular firing order for <literal>CHECK</literal> constraints.)
+ </para>
+ </listitem>
+ </varlistentry>
+ </variablelist>
+ </refsect1>
+
+ <refsect1>
+ <title>Notes</title>
+
+ <para>
+ Domain constraints, particularly <literal>NOT NULL</literal>, are checked when
+ converting a value to the domain type. It is possible for a column that
+ is nominally of the domain type to read as null despite there being such
+ a constraint. For example, this can happen in an outer-join query, if
+ the domain column is on the nullable side of the outer join. A more
+ subtle example is
+<programlisting>
+INSERT INTO tab (domcol) VALUES ((SELECT domcol FROM tab WHERE false));
+</programlisting>
+ The empty scalar sub-SELECT will produce a null value that is considered
+ to be of the domain type, so no further constraint checking is applied
+ to it, and the insertion will succeed.
+ </para>
+
+ <para>
+ It is very difficult to avoid such problems, because of SQL's general
+ assumption that a null value is a valid value of every data type. Best practice
+ therefore is to design a domain's constraints so that a null value is allowed,
+ and then to apply column <literal>NOT NULL</literal> constraints to columns of
+ the domain type as needed, rather than directly to the domain type.
+ </para>
+
+ <para>
+ <productname>PostgreSQL</productname> assumes that
+ <literal>CHECK</literal> constraints' conditions are immutable, that is,
+ they will always give the same result for the same input value. This
+ assumption is what justifies examining <literal>CHECK</literal>
+ constraints only when a value is first converted to be of a domain type,
+ and not at other times. (This is essentially the same as the treatment
+ of table <literal>CHECK</literal> constraints, as described in
+ <xref linkend="ddl-constraints-check-constraints"/>.)
+ </para>
+
+ <para>
+ An example of a common way to break this assumption is to reference a
+ user-defined function in a <literal>CHECK</literal> expression, and then
+ change the behavior of that
+ function. <productname>PostgreSQL</productname> does not disallow that,
+ but it will not notice if there are stored values of the domain type that
+ now violate the <literal>CHECK</literal> constraint. That would cause a
+ subsequent database dump and restore to fail. The recommended way to
+ handle such a change is to drop the constraint (using <command>ALTER
+ DOMAIN</command>), adjust the function definition, and re-add the
+ constraint, thereby rechecking it against stored data.
+ </para>
+
+ <para>
+ It's also good practice to ensure that domain <literal>CHECK</literal>
+ expressions will not throw errors.
+ </para>
+ </refsect1>
+
+ <refsect1>
+ <title>Examples</title>
+
+ <para>
+ This example creates the <type>us_postal_code</type> data type and
+ then uses the type in a table definition. A regular expression test
+ is used to verify that the value looks like a valid US postal code:
+
+<programlisting>
+CREATE DOMAIN us_postal_code AS TEXT
+CHECK(
+ VALUE ~ '^\d{5}$'
+OR VALUE ~ '^\d{5}-\d{4}$'
+);
+
+CREATE TABLE us_snail_addy (
+ address_id SERIAL PRIMARY KEY,
+ street1 TEXT NOT NULL,
+ street2 TEXT,
+ street3 TEXT,
+ city TEXT NOT NULL,
+ postal us_postal_code NOT NULL
+);
+</programlisting></para>
+ </refsect1>
+
+ <refsect1 id="sql-createdomain-compatibility">
+ <title>Compatibility</title>
+
+ <para>
+ The command <command>CREATE DOMAIN</command> conforms to the SQL
+ standard.
+ </para>
+ </refsect1>
+
+ <refsect1 id="sql-createdomain-see-also">
+ <title>See Also</title>
+
+ <simplelist type="inline">
+ <member><xref linkend="sql-alterdomain"/></member>
+ <member><xref linkend="sql-dropdomain"/></member>
+ </simplelist>
+ </refsect1>
+
+</refentry>