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$PostgreSQL: pgsql/doc/src/sgml/ref/create_index.sgml,v 1.51 2005-01-04 00:39:53 tgl Exp $
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PostgreSQL documentation
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<refentry id="SQL-CREATEINDEX">
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<refentrytitle id="sql-createindex-title">CREATE INDEX</refentrytitle>
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<refmiscinfo>SQL - Language Statements</refmiscinfo>
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<refname>CREATE INDEX</refname>
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<refpurpose>define a new index</refpurpose>
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<indexterm zone="sql-createindex">
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<primary>CREATE INDEX</primary>
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CREATE [ UNIQUE ] INDEX <replaceable class="parameter">name</replaceable> ON <replaceable class="parameter">table</replaceable> [ USING <replaceable class="parameter">method</replaceable> ]
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( { <replaceable class="parameter">column</replaceable> | ( <replaceable class="parameter">expression</replaceable> ) } [ <replaceable class="parameter">opclass</replaceable> ] [, ...] )
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[ TABLESPACE <replaceable class="parameter">tablespace</replaceable> ]
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[ WHERE <replaceable class="parameter">predicate</replaceable> ]
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<title>Description</title>
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<command>CREATE INDEX</command> constructs an index <replaceable
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class="parameter">index_name</replaceable> on the specified table.
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Indexes are primarily used to enhance database performance (though
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inappropriate use will result in slower performance).
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The key field(s) for the index are specified as column names,
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or alternatively as expressions written in parentheses.
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Multiple fields can be specified if the index method supports
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An index field can be an expression computed from the values of
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one or more columns of the table row. This feature can be used
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to obtain fast access to data based on some transformation of
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the basic data. For example, an index computed on
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<literal>upper(col)</> would allow the clause
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<literal>WHERE upper(col) = 'JIM'</> to use an index.
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<productname>PostgreSQL</productname> provides the index methods
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B-tree, R-tree, hash, and GiST. The B-tree index method is an
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implementation of Lehman-Yao high-concurrency B-trees. The R-tree
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index method implements standard R-trees using Guttman's quadratic
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split algorithm. The hash index method is an implementation of
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Litwin's linear hashing. Users can also define their own index
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methods, but that is fairly complicated.
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When the <literal>WHERE</literal> clause is present, a
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<firstterm>partial index</firstterm> is created.
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A partial index is an index that contains entries for only a portion of
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a table, usually a portion that is more useful for indexing than the
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rest of the table. For example, if you have a table that contains both
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billed and unbilled orders where the unbilled orders take up a small
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fraction of the total table and yet that is an often used section, you
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can improve performance by creating an index on just that portion.
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Another possible application is to use <literal>WHERE</literal> with
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<literal>UNIQUE</literal> to enforce uniqueness over a subset of a
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table. See <xref linkend="indexes-partial"> for more discussion.
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The expression used in the <literal>WHERE</literal> clause may refer
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only to columns of the underlying table, but it can use all columns,
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not just the ones being indexed. Presently, subqueries and
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aggregate expressions are also forbidden in <literal>WHERE</literal>.
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The same restrictions apply to index fields that are expressions.
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All functions and operators used in an index definition must be
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<quote>immutable</>, that is, their results must depend only on
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their arguments and never on any outside influence (such as
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the contents of another table or the current time). This restriction
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ensures that the behavior of the index is well-defined. To use a
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user-defined function in an index expression or <literal>WHERE</literal>
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clause, remember to mark the function immutable when you create it.
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<title>Parameters</title>
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<term><literal>UNIQUE</literal></term>
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Causes the system to check for
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duplicate values in the table when the index is created (if data
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already exist) and each time data is added. Attempts to
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insert or update data which would result in duplicate entries
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will generate an error.
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<term><replaceable class="parameter">name</replaceable></term>
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The name of the index to be created. No schema name can be included
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here; the index is always created in the same schema as its parent
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<term><replaceable class="parameter">table</replaceable></term>
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The name (possibly schema-qualified) of the table to be indexed.
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<term><replaceable class="parameter">method</replaceable></term>
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The name of the method to be used for the index. Choices are
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<literal>btree</literal>, <literal>hash</literal>,
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<literal>rtree</literal>, and <literal>gist</literal>. The
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default method is <literal>btree</literal>.
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<term><replaceable class="parameter">column</replaceable></term>
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The name of a column of the table.
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<term><replaceable class="parameter">expression</replaceable></term>
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An expression based on one or more columns of the table. The
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expression usually must be written with surrounding parentheses,
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as shown in the syntax. However, the parentheses may be omitted
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if the expression has the form of a function call.
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<term><replaceable class="parameter">opclass</replaceable></term>
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The name of an operator class. See below for details.
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<term><replaceable class="parameter">tablespace</replaceable></term>
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The tablespace in which to create the index. If not specified,
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<xref linkend="guc-default-tablespace"> is used, or the database's
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default tablespace if <varname>default_tablespace</> is an empty
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<term><replaceable class="parameter">predicate</replaceable></term>
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The constraint expression for a partial index.
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See <xref linkend="indexes"> for information about when indexes can
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be used, when they are not used, and in which particular situations
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Currently, only the B-tree and GiST index methods support
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multicolumn indexes. Up to 32 fields may be specified by default.
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(This limit can be altered when building
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<productname>PostgreSQL</productname>.) Only B-tree currently
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supports unique indexes.
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An <firstterm>operator class</firstterm> can be specified for each
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column of an index. The operator class identifies the operators to be
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used by the index for that column. For example, a B-tree index on
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four-byte integers would use the <literal>int4_ops</literal> class;
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this operator class includes comparison functions for four-byte
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integers. In practice the default operator class for the column's data
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type is usually sufficient. The main point of having operator classes
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is that for some data types, there could be more than one meaningful
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ordering. For example, we might want to sort a complex-number data
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type either by absolute value or by real part. We could do this by
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defining two operator classes for the data type and then selecting
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the proper class when making an index. More information about
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operator classes is in <xref linkend="indexes-opclass"> and in <xref
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Use <xref linkend="sql-dropindex" endterm="sql-dropindex-title">
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Indexes are not used for <literal>IS NULL</> clauses by default.
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The best way to use indexes in such cases is to create a partial index
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using an <literal>IS NULL</> predicate.
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<title>Examples</title>
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To create a B-tree index on the column <literal>title</literal> in
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the table <literal>films</literal>:
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CREATE UNIQUE INDEX title_idx ON films (title);
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To create an index on the column <literal>code</> in the table
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<literal>films</> and have the index reside in the tablespace
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<literal>indexspace</>:
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CREATE INDEX code_idx ON films(code) TABLESPACE indexspace;
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Is this example correct?
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To create a R-tree index on a point attribute so that we
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can efficiently use box operators on the result of the
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CREATE INDEX pointloc
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ON points USING RTREE (point2box(location) box_ops);
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WHERE point2box(points.pointloc) = boxes.box;
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<title>Compatibility</title>
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<command>CREATE INDEX</command> is a
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<productname>PostgreSQL</productname> language extension. There
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are no provisions for indexes in the SQL standard.
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<title>See Also</title>
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<simplelist type="inline">
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<member><xref linkend="sql-alterindex" endterm="sql-alterindex-title"></member>
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<member><xref linkend="sql-dropindex" endterm="sql-dropindex-title"></member>
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