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Errors detected using Topy (https://github.com/intgr/topy), all changes verified by hand and some manual tweaks added. Marti Raudsepp Individual changes backpatched, where applicable, as far as 9.0.
467 lines
21 KiB
Plaintext
467 lines
21 KiB
Plaintext
<!-- doc/src/sgml/xoper.sgml -->
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<sect1 id="xoper">
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<title>User-defined Operators</title>
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<indexterm zone="xoper">
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<primary>operator</primary>
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<secondary>user-defined</secondary>
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</indexterm>
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<para>
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Every operator is <quote>syntactic sugar</quote> for a call to an
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underlying function that does the real work; so you must
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first create the underlying function before you can create
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the operator. However, an operator is <emphasis>not merely</emphasis>
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syntactic sugar, because it carries additional information
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that helps the query planner optimize queries that use the
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operator. The next section will be devoted to explaining
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that additional information.
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</para>
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<para>
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<productname>PostgreSQL</productname> supports left unary, right
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unary, and binary operators. Operators can be
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overloaded;<indexterm><primary>overloading</primary><secondary>operators</secondary></indexterm>
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that is, the same operator name can be used for different operators
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that have different numbers and types of operands. When a query is
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executed, the system determines the operator to call from the
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number and types of the provided operands.
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</para>
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<para>
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Here is an example of creating an operator for adding two complex
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numbers. We assume we've already created the definition of type
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<type>complex</type> (see <xref linkend="xtypes">). First we need a
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function that does the work, then we can define the operator:
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<programlisting>
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CREATE FUNCTION complex_add(complex, complex)
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RETURNS complex
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AS '<replaceable>filename</replaceable>', 'complex_add'
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LANGUAGE C IMMUTABLE STRICT;
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CREATE OPERATOR + (
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leftarg = complex,
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rightarg = complex,
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procedure = complex_add,
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commutator = +
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);
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</programlisting>
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</para>
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<para>
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Now we could execute a query like this:
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<screen>
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SELECT (a + b) AS c FROM test_complex;
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c
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-----------------
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(5.2,6.05)
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(133.42,144.95)
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</screen>
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</para>
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<para>
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We've shown how to create a binary operator here. To create unary
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operators, just omit one of <literal>leftarg</> (for left unary) or
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<literal>rightarg</> (for right unary). The <literal>procedure</>
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clause and the argument clauses are the only required items in
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<command>CREATE OPERATOR</command>. The <literal>commutator</>
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clause shown in the example is an optional hint to the query
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optimizer. Further details about <literal>commutator</> and other
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optimizer hints appear in the next section.
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</para>
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</sect1>
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<sect1 id="xoper-optimization">
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<title>Operator Optimization Information</title>
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<para>
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A <productname>PostgreSQL</productname> operator definition can include
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several optional clauses that tell the system useful things about how
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the operator behaves. These clauses should be provided whenever
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appropriate, because they can make for considerable speedups in execution
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of queries that use the operator. But if you provide them, you must be
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sure that they are right! Incorrect use of an optimization clause can
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result in slow queries, subtly wrong output, or other Bad Things.
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You can always leave out an optimization clause if you are not sure
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about it; the only consequence is that queries might run slower than
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they need to.
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</para>
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<para>
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Additional optimization clauses might be added in future versions of
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<productname>PostgreSQL</productname>. The ones described here are all
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the ones that release &version; understands.
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</para>
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<sect2>
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<title><literal>COMMUTATOR</></title>
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<para>
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The <literal>COMMUTATOR</> clause, if provided, names an operator that is the
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commutator of the operator being defined. We say that operator A is the
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commutator of operator B if (x A y) equals (y B x) for all possible input
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values x, y. Notice that B is also the commutator of A. For example,
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operators <literal><</> and <literal>></> for a particular data type are usually each others'
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commutators, and operator <literal>+</> is usually commutative with itself.
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But operator <literal>-</> is usually not commutative with anything.
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</para>
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<para>
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The left operand type of a commutable operator is the same as the
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right operand type of its commutator, and vice versa. So the name of
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the commutator operator is all that <productname>PostgreSQL</productname>
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needs to be given to look up the commutator, and that's all that needs to
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be provided in the <literal>COMMUTATOR</> clause.
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</para>
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<para>
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It's critical to provide commutator information for operators that
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will be used in indexes and join clauses, because this allows the
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query optimizer to <quote>flip around</> such a clause to the forms
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needed for different plan types. For example, consider a query with
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a WHERE clause like <literal>tab1.x = tab2.y</>, where <literal>tab1.x</>
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and <literal>tab2.y</> are of a user-defined type, and suppose that
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<literal>tab2.y</> is indexed. The optimizer cannot generate an
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index scan unless it can determine how to flip the clause around to
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<literal>tab2.y = tab1.x</>, because the index-scan machinery expects
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to see the indexed column on the left of the operator it is given.
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<productname>PostgreSQL</productname> will <emphasis>not</> simply
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assume that this is a valid transformation — the creator of the
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<literal>=</> operator must specify that it is valid, by marking the
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operator with commutator information.
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</para>
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<para>
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When you are defining a self-commutative operator, you just do it.
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When you are defining a pair of commutative operators, things are
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a little trickier: how can the first one to be defined refer to the
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other one, which you haven't defined yet? There are two solutions
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to this problem:
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<itemizedlist>
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<listitem>
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<para>
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One way is to omit the <literal>COMMUTATOR</> clause in the first operator that
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you define, and then provide one in the second operator's definition.
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Since <productname>PostgreSQL</productname> knows that commutative
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operators come in pairs, when it sees the second definition it will
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automatically go back and fill in the missing <literal>COMMUTATOR</> clause in
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the first definition.
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</para>
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</listitem>
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<listitem>
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<para>
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The other, more straightforward way is just to include <literal>COMMUTATOR</> clauses
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in both definitions. When <productname>PostgreSQL</productname> processes
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the first definition and realizes that <literal>COMMUTATOR</> refers to a nonexistent
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operator, the system will make a dummy entry for that operator in the
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system catalog. This dummy entry will have valid data only
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for the operator name, left and right operand types, and result type,
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since that's all that <productname>PostgreSQL</productname> can deduce
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at this point. The first operator's catalog entry will link to this
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dummy entry. Later, when you define the second operator, the system
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updates the dummy entry with the additional information from the second
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definition. If you try to use the dummy operator before it's been filled
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in, you'll just get an error message.
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</para>
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</listitem>
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</itemizedlist>
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</para>
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</sect2>
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<sect2>
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<title><literal>NEGATOR</></title>
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<para>
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The <literal>NEGATOR</> clause, if provided, names an operator that is the
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negator of the operator being defined. We say that operator A
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is the negator of operator B if both return Boolean results and
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(x A y) equals NOT (x B y) for all possible inputs x, y.
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Notice that B is also the negator of A.
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For example, <literal><</> and <literal>>=</> are a negator pair for most data types.
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An operator can never validly be its own negator.
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</para>
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<para>
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Unlike commutators, a pair of unary operators could validly be marked
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as each other's negators; that would mean (A x) equals NOT (B x)
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for all x, or the equivalent for right unary operators.
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</para>
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<para>
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An operator's negator must have the same left and/or right operand types
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as the operator to be defined, so just as with <literal>COMMUTATOR</>, only the operator
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name need be given in the <literal>NEGATOR</> clause.
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</para>
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<para>
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Providing a negator is very helpful to the query optimizer since
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it allows expressions like <literal>NOT (x = y)</> to be simplified into
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<literal>x <> y</>. This comes up more often than you might think, because
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<literal>NOT</> operations can be inserted as a consequence of other rearrangements.
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</para>
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<para>
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Pairs of negator operators can be defined using the same methods
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explained above for commutator pairs.
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</para>
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</sect2>
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<sect2>
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<title><literal>RESTRICT</></title>
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<para>
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The <literal>RESTRICT</> clause, if provided, names a restriction selectivity
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estimation function for the operator. (Note that this is a function
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name, not an operator name.) <literal>RESTRICT</> clauses only make sense for
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binary operators that return <type>boolean</>. The idea behind a restriction
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selectivity estimator is to guess what fraction of the rows in a
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table will satisfy a <literal>WHERE</literal>-clause condition of the form:
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<programlisting>
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column OP constant
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</programlisting>
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for the current operator and a particular constant value.
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This assists the optimizer by
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giving it some idea of how many rows will be eliminated by <literal>WHERE</>
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clauses that have this form. (What happens if the constant is on
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the left, you might be wondering? Well, that's one of the things that
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<literal>COMMUTATOR</> is for...)
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</para>
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<para>
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Writing new restriction selectivity estimation functions is far beyond
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the scope of this chapter, but fortunately you can usually just use
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one of the system's standard estimators for many of your own operators.
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These are the standard restriction estimators:
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<simplelist>
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<member><function>eqsel</> for <literal>=</></member>
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<member><function>neqsel</> for <literal><></></member>
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<member><function>scalarltsel</> for <literal><</> or <literal><=</></member>
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<member><function>scalargtsel</> for <literal>></> or <literal>>=</></member>
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</simplelist>
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It might seem a little odd that these are the categories, but they
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make sense if you think about it. <literal>=</> will typically accept only
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a small fraction of the rows in a table; <literal><></> will typically reject
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only a small fraction. <literal><</> will accept a fraction that depends on
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where the given constant falls in the range of values for that table
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column (which, it just so happens, is information collected by
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<command>ANALYZE</command> and made available to the selectivity estimator).
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<literal><=</> will accept a slightly larger fraction than <literal><</> for the same
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comparison constant, but they're close enough to not be worth
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distinguishing, especially since we're not likely to do better than a
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rough guess anyhow. Similar remarks apply to <literal>></> and <literal>>=</>.
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</para>
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<para>
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You can frequently get away with using either <function>eqsel</function> or <function>neqsel</function> for
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operators that have very high or very low selectivity, even if they
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aren't really equality or inequality. For example, the
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approximate-equality geometric operators use <function>eqsel</function> on the assumption that
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they'll usually only match a small fraction of the entries in a table.
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</para>
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<para>
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You can use <function>scalarltsel</> and <function>scalargtsel</> for comparisons on data types that
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have some sensible means of being converted into numeric scalars for
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range comparisons. If possible, add the data type to those understood
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by the function <function>convert_to_scalar()</function> in <filename>src/backend/utils/adt/selfuncs.c</filename>.
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(Eventually, this function should be replaced by per-data-type functions
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identified through a column of the <classname>pg_type</> system catalog; but that hasn't happened
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yet.) If you do not do this, things will still work, but the optimizer's
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estimates won't be as good as they could be.
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</para>
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<para>
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There are additional selectivity estimation functions designed for geometric
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operators in <filename>src/backend/utils/adt/geo_selfuncs.c</filename>: <function>areasel</function>, <function>positionsel</function>,
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and <function>contsel</function>. At this writing these are just stubs, but you might want
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to use them (or even better, improve them) anyway.
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</para>
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</sect2>
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<sect2>
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<title><literal>JOIN</></title>
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<para>
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The <literal>JOIN</> clause, if provided, names a join selectivity
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estimation function for the operator. (Note that this is a function
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name, not an operator name.) <literal>JOIN</> clauses only make sense for
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binary operators that return <type>boolean</type>. The idea behind a join
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selectivity estimator is to guess what fraction of the rows in a
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pair of tables will satisfy a <literal>WHERE</>-clause condition of the form:
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<programlisting>
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table1.column1 OP table2.column2
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</programlisting>
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for the current operator. As with the <literal>RESTRICT</literal> clause, this helps
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the optimizer very substantially by letting it figure out which
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of several possible join sequences is likely to take the least work.
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</para>
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<para>
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As before, this chapter will make no attempt to explain how to write
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a join selectivity estimator function, but will just suggest that
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you use one of the standard estimators if one is applicable:
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<simplelist>
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<member><function>eqjoinsel</> for <literal>=</></member>
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<member><function>neqjoinsel</> for <literal><></></member>
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<member><function>scalarltjoinsel</> for <literal><</> or <literal><=</></member>
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<member><function>scalargtjoinsel</> for <literal>></> or <literal>>=</></member>
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<member><function>areajoinsel</> for 2D area-based comparisons</member>
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<member><function>positionjoinsel</> for 2D position-based comparisons</member>
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<member><function>contjoinsel</> for 2D containment-based comparisons</member>
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</simplelist>
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</para>
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</sect2>
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<sect2>
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<title><literal>HASHES</></title>
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<para>
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The <literal>HASHES</literal> clause, if present, tells the system that
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it is permissible to use the hash join method for a join based on this
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operator. <literal>HASHES</> only makes sense for a binary operator that
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returns <literal>boolean</>, and in practice the operator must represent
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equality for some data type or pair of data types.
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</para>
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<para>
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The assumption underlying hash join is that the join operator can
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only return true for pairs of left and right values that hash to the
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same hash code. If two values get put in different hash buckets, the
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join will never compare them at all, implicitly assuming that the
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result of the join operator must be false. So it never makes sense
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to specify <literal>HASHES</literal> for operators that do not represent
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some form of equality. In most cases it is only practical to support
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hashing for operators that take the same data type on both sides.
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However, sometimes it is possible to design compatible hash functions
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for two or more data types; that is, functions that will generate the
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same hash codes for <quote>equal</> values, even though the values
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have different representations. For example, it's fairly simple
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to arrange this property when hashing integers of different widths.
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</para>
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<para>
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To be marked <literal>HASHES</literal>, the join operator must appear
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in a hash index operator family. This is not enforced when you create
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the operator, since of course the referencing operator family couldn't
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exist yet. But attempts to use the operator in hash joins will fail
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at run time if no such operator family exists. The system needs the
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operator family to find the data-type-specific hash function(s) for the
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operator's input data type(s). Of course, you must also create suitable
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hash functions before you can create the operator family.
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</para>
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<para>
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Care should be exercised when preparing a hash function, because there
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are machine-dependent ways in which it might fail to do the right thing.
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For example, if your data type is a structure in which there might be
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uninteresting pad bits, you cannot simply pass the whole structure to
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<function>hash_any</>. (Unless you write your other operators and
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functions to ensure that the unused bits are always zero, which is the
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recommended strategy.)
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Another example is that on machines that meet the <acronym>IEEE</>
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floating-point standard, negative zero and positive zero are different
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values (different bit patterns) but they are defined to compare equal.
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If a float value might contain negative zero then extra steps are needed
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to ensure it generates the same hash value as positive zero.
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</para>
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<para>
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A hash-joinable operator must have a commutator (itself if the two
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operand data types are the same, or a related equality operator
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if they are different) that appears in the same operator family.
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If this is not the case, planner errors might occur when the operator
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is used. Also, it is a good idea (but not strictly required) for
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a hash operator family that supports multiple data types to provide
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equality operators for every combination of the data types; this
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allows better optimization.
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</para>
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<note>
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<para>
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The function underlying a hash-joinable operator must be marked
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immutable or stable. If it is volatile, the system will never
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attempt to use the operator for a hash join.
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</para>
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</note>
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<note>
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<para>
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If a hash-joinable operator has an underlying function that is marked
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strict, the
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function must also be complete: that is, it should return true or
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false, never null, for any two nonnull inputs. If this rule is
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not followed, hash-optimization of <literal>IN</> operations might
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generate wrong results. (Specifically, <literal>IN</> might return
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false where the correct answer according to the standard would be null;
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or it might yield an error complaining that it wasn't prepared for a
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null result.)
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</para>
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</note>
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</sect2>
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<sect2>
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<title><literal>MERGES</></title>
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<para>
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The <literal>MERGES</literal> clause, if present, tells the system that
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it is permissible to use the merge-join method for a join based on this
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operator. <literal>MERGES</> only makes sense for a binary operator that
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returns <literal>boolean</>, and in practice the operator must represent
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equality for some data type or pair of data types.
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</para>
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<para>
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Merge join is based on the idea of sorting the left- and right-hand tables
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into order and then scanning them in parallel. So, both data types must
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be capable of being fully ordered, and the join operator must be one
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that can only succeed for pairs of values that fall at the
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<quote>same place</>
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in the sort order. In practice this means that the join operator must
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behave like equality. But it is possible to merge-join two
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distinct data types so long as they are logically compatible. For
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example, the <type>smallint</type>-versus-<type>integer</type>
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equality operator is merge-joinable.
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We only need sorting operators that will bring both data types into a
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logically compatible sequence.
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</para>
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<para>
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To be marked <literal>MERGES</literal>, the join operator must appear
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as an equality member of a <literal>btree</> index operator family.
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This is not enforced when you create
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the operator, since of course the referencing operator family couldn't
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exist yet. But the operator will not actually be used for merge joins
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unless a matching operator family can be found. The
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<literal>MERGES</literal> flag thus acts as a hint to the planner that
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it's worth looking for a matching operator family.
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</para>
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<para>
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A merge-joinable operator must have a commutator (itself if the two
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operand data types are the same, or a related equality operator
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if they are different) that appears in the same operator family.
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If this is not the case, planner errors might occur when the operator
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is used. Also, it is a good idea (but not strictly required) for
|
|
a <literal>btree</> operator family that supports multiple data types to provide
|
|
equality operators for every combination of the data types; this
|
|
allows better optimization.
|
|
</para>
|
|
|
|
<note>
|
|
<para>
|
|
The function underlying a merge-joinable operator must be marked
|
|
immutable or stable. If it is volatile, the system will never
|
|
attempt to use the operator for a merge join.
|
|
</para>
|
|
</note>
|
|
</sect2>
|
|
</sect1>
|