Commit 6ff82c67 authored by Peter Eisentraut's avatar Peter Eisentraut

Integrate the operator class section into the comprehensive extending SQL

chapter as well.
parent 4e5602e9
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<chapter id="extend"> <chapter id="extend">
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&xtypes; &xtypes;
&xoper; &xoper;
&xaggr; &xaggr;
&xindex;
</chapter> </chapter>
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</partintro> </partintro>
&extend; &extend;
&xindex;
&indexcost; &indexcost;
&rules; &rules;
&trigger; &trigger;
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PostgreSQL documentation
--> -->
<chapter id="xindex"> <sect1 id="xindex">
<title>Interfacing Extensions To Indexes</title> <title>Interfacing Extensions To Indexes</title>
<sect1 id="xindex-intro">
<title>Introduction</title>
<para> <para>
The procedures described thus far let you define new types, new The procedures described thus far let you define new types, new
functions, and new operators. However, we cannot yet define a functions, and new operators. However, we cannot yet define an
secondary index (such as a B-tree, R-tree, or hash access method) index on a column of a new data type. To do this, we must define an
over a new type, nor associate operators of a new type with secondary <firstterm>operator class</> for the new data type. Later in this
indexes. section, we will illustrate this concept in an example: a new
To do these things, we must define an <firstterm>operator class</> operator class for the B-tree index method that stores and sorts
for the new data type. We will describe operator classes in the complex numbers in ascending absolute value order.
context of a running example: a new operator
class for the B-tree access method that stores and
sorts complex numbers in ascending absolute value order.
</para> </para>
<note> <note>
<para> <para>
Prior to <productname>PostgreSQL</productname> release 7.3, it was Prior to <productname>PostgreSQL</productname> release 7.3, it was
necessary to make manual additions to necessary to make manual additions to the system catalogs
<classname>pg_amop</>, <classname>pg_amproc</>, and <classname>pg_amop</>, <classname>pg_amproc</>, and
<classname>pg_opclass</> in order to create a user-defined <classname>pg_opclass</> in order to create a user-defined
operator class. That approach is now deprecated in favor of operator class. That approach is now deprecated in favor of
...@@ -33,59 +26,59 @@ PostgreSQL documentation ...@@ -33,59 +26,59 @@ PostgreSQL documentation
and less error-prone way of creating the necessary catalog entries. and less error-prone way of creating the necessary catalog entries.
</para> </para>
</note> </note>
</sect1>
<sect1 id="xindex-am"> <sect2 id="xindex-im">
<title>Access Methods and Operator Classes</title> <title>Index Methods and Operator Classes</title>
<para> <para>
The <classname>pg_am</classname> table contains one row for every The <classname>pg_am</classname> table contains one row for every
index access method. Support for access to regular tables is index method (internally known as access method). Support for
built into <productname>PostgreSQL</productname>, but all index access regular access to tables is built into
methods are described in <classname>pg_am</classname>. It is possible <productname>PostgreSQL</productname>, but all index methods are
to add a new index access method by defining the required interface described in <classname>pg_am</classname>. It is possible to add a
routines and then creating a row in <classname>pg_am</classname> --- new index method by defining the required interface routines and
but that is far beyond the scope of this chapter. then creating a row in <classname>pg_am</classname> --- but that is
far beyond the scope of this chapter.
</para> </para>
<para> <para>
The routines for an index access method do not directly know anything The routines for an index method do not directly know anything
about the data types the access method will operate on. Instead, an about the data types that the index method will operate on. Instead, an
<firstterm>operator class</> identifies the set of operations that the <firstterm>operator class</> identifies the set of operations that the
access method needs to be able to use to work with a particular data type. index method needs to use to work with a particular data type.
Operator classes are so called because one thing they specify is the set Operator classes are so called because one thing they specify is the set
of WHERE-clause operators that can be used with an index (ie, can be of <literal>WHERE</>-clause operators that can be used with an index (i.e., can be
converted into an index scan qualification). An operator class may also converted into an index-scan qualification). An operator class may also
specify some <firstterm>support procedures</> that are needed by the specify some <firstterm>support procedures</> that are needed by the
internal operations of the index access method, but do not directly internal operations of the index method, but do not directly
correspond to any WHERE-clause operator that can be used with the index. correspond to any <literal>WHERE</>-clause operator that can be used with the index.
</para> </para>
<para> <para>
It is possible to define multiple operator classes for the same It is possible to define multiple operator classes for the same
input data type and index access method. By doing this, multiple data type and index method. By doing this, multiple
sets of indexing semantics can be defined for a single data type. sets of indexing semantics can be defined for a single data type.
For example, a B-tree index requires a sort ordering to be defined For example, a B-tree index requires a sort ordering to be defined
for each data type it works on. for each data type it works on.
It might be useful for a complex-number data type It might be useful for a complex-number data type
to have one B-tree operator class that sorts the data by complex to have one B-tree operator class that sorts the data by complex
absolute value, another that sorts by real part, and so on. absolute value, another that sorts by real part, and so on.
Typically one of the operator classes will be deemed most commonly Typically, one of the operator classes will be deemed most commonly
useful and will be marked as the default operator class for that useful and will be marked as the default operator class for that
data type and index access method. data type and index method.
</para> </para>
<para> <para>
The same operator class name The same operator class name
can be used for several different access methods (for example, both B-tree can be used for several different index methods (for example, both B-tree
and hash access methods have operator classes named and hash index methods have operator classes named
<literal>oid_ops</literal>), but each such class is an independent <literal>oid_ops</literal>), but each such class is an independent
entity and must be defined separately. entity and must be defined separately.
</para> </para>
</sect1> </sect2>
<sect1 id="xindex-strategies"> <sect2 id="xindex-strategies">
<title>Access Method Strategies</title> <title>Index Method Strategies</title>
<para> <para>
The operators associated with an operator class are identified by The operators associated with an operator class are identified by
...@@ -98,21 +91,20 @@ PostgreSQL documentation ...@@ -98,21 +91,20 @@ PostgreSQL documentation
<productname>PostgreSQL</productname> allows the user to define operators, <productname>PostgreSQL</productname> allows the user to define operators,
<productname>PostgreSQL</productname> cannot look at the name of an operator <productname>PostgreSQL</productname> cannot look at the name of an operator
(e.g., <literal>&lt;</> or <literal>&gt;=</>) and tell what kind of (e.g., <literal>&lt;</> or <literal>&gt;=</>) and tell what kind of
comparison it is. Instead, the index access method defines a set of comparison it is. Instead, the index method defines a set of
<quote>strategies</>, which can be thought of as generalized operators. <quote>strategies</>, which can be thought of as generalized operators.
Each operator class shows which actual operator corresponds to each Each operator class specifies which actual operator corresponds to each
strategy for a particular data type and interpretation of the index strategy for a particular data type and interpretation of the index
semantics. semantics.
</para> </para>
<para> <para>
B-tree indexes define 5 strategies, as shown in <xref The B-tree index method defines five strategies, shown in <xref
linkend="xindex-btree-strat-table">. linkend="xindex-btree-strat-table">.
</para> </para>
<table tocentry="1" id="xindex-btree-strat-table"> <table tocentry="1" id="xindex-btree-strat-table">
<title>B-tree Strategies</title> <title>B-tree Strategies</title>
<titleabbrev>B-tree</titleabbrev>
<tgroup cols="2"> <tgroup cols="2">
<thead> <thead>
<row> <row>
...@@ -146,13 +138,12 @@ PostgreSQL documentation ...@@ -146,13 +138,12 @@ PostgreSQL documentation
</table> </table>
<para> <para>
Hash indexes express only bitwise similarity, and so they define only 1 Hash indexes express only bitwise equality, and so they use only one
strategy, as shown in <xref linkend="xindex-hash-strat-table">. strategy, shown in <xref linkend="xindex-hash-strat-table">.
</para> </para>
<table tocentry="1" id="xindex-hash-strat-table"> <table tocentry="1" id="xindex-hash-strat-table">
<title>Hash Strategies</title> <title>Hash Strategies</title>
<titleabbrev>Hash</titleabbrev>
<tgroup cols="2"> <tgroup cols="2">
<thead> <thead>
<row> <row>
...@@ -171,12 +162,11 @@ PostgreSQL documentation ...@@ -171,12 +162,11 @@ PostgreSQL documentation
<para> <para>
R-tree indexes express rectangle-containment relationships. R-tree indexes express rectangle-containment relationships.
They define 8 strategies, as shown in <xref linkend="xindex-rtree-strat-table">. They use eight strategies, shown in <xref linkend="xindex-rtree-strat-table">.
</para> </para>
<table tocentry="1" id="xindex-rtree-strat-table"> <table tocentry="1" id="xindex-rtree-strat-table">
<title>R-tree Strategies</title> <title>R-tree Strategies</title>
<titleabbrev>R-tree</titleabbrev>
<tgroup cols="2"> <tgroup cols="2">
<thead> <thead>
<row> <row>
...@@ -224,58 +214,59 @@ PostgreSQL documentation ...@@ -224,58 +214,59 @@ PostgreSQL documentation
<para> <para>
GiST indexes are even more flexible: they do not have a fixed set of GiST indexes are even more flexible: they do not have a fixed set of
strategies at all. Instead, the <quote>consistency</> support routine strategies at all. Instead, the <quote>consistency</> support routine
of a particular GiST operator class interprets the strategy numbers of each particular GiST operator class interprets the strategy numbers
however it likes. however it likes.
</para> </para>
<para>
Note that all strategy operators return Boolean values. In
practice, all operators defined as index method strategies must
return type <type>boolean</type>, since they must appear at the top
level of a <literal>WHERE</> clause to be used with an index.
</para>
<para> <para>
By the way, the <structfield>amorderstrategy</structfield> column By the way, the <structfield>amorderstrategy</structfield> column
in <classname>pg_am</> tells whether in <classname>pg_am</> tells whether
the access method supports ordered scan. Zero means it doesn't; if it the index method supports ordered scans. Zero means it doesn't; if it
does, <structfield>amorderstrategy</structfield> is the strategy does, <structfield>amorderstrategy</structfield> is the strategy
number that corresponds to the ordering operator. For example, B-tree number that corresponds to the ordering operator. For example, B-tree
has <structfield>amorderstrategy</structfield> = 1, which is its has <structfield>amorderstrategy</structfield> = 1, which is its
<quote>less than</quote> strategy number. <quote>less than</quote> strategy number.
</para> </para>
</sect2>
<para> <sect2 id="xindex-support">
In short, an operator class must specify a set of operators that express <title>Index Method Support Routines</title>
each of these semantic ideas for the operator class's data type.
</para>
</sect1>
<sect1 id="xindex-support">
<title>Access Method Support Routines</title>
<para> <para>
Strategies aren't usually enough information for the system to figure Strategies aren't usually enough information for the system to figure
out how to use an index. In practice, the access methods require out how to use an index. In practice, the index methods require
additional support routines in order to work. For example, the B-tree additional support routines in order to work. For example, the B-tree
access method must be able to compare two keys and determine whether one index method must be able to compare two keys and determine whether one
is greater than, equal to, or less than the other. Similarly, the is greater than, equal to, or less than the other. Similarly, the
R-tree access method must be able to compute R-tree index method must be able to compute
intersections, unions, and sizes of rectangles. These intersections, unions, and sizes of rectangles. These
operations do not correspond to operators used in qualifications in operations do not correspond to operators used in qualifications in
SQL queries; they are administrative routines used by SQL commands; they are administrative routines used by
the access methods, internally. the index methods, internally.
</para> </para>
<para> <para>
Just as with operators, the operator class identifies which specific Just as with strategies, the operator class identifies which specific
functions should play each of these roles for a given data type and functions should play each of these roles for a given data type and
semantic interpretation. The index access method specifies the set semantic interpretation. The index method defines the set
of functions it needs, and the operator class identifies the correct of functions it needs, and the operator class identifies the correct
functions to use by assigning <quote>support function numbers</> to them. functions to use by assigning them to the <quote>support function numbers</>.
</para> </para>
<para> <para>
B-trees require a single support function, as shown in <xref B-trees require a single support function, shown in <xref
linkend="xindex-btree-support-table">. linkend="xindex-btree-support-table">.
</para> </para>
<table tocentry="1" id="xindex-btree-support-table"> <table tocentry="1" id="xindex-btree-support-table">
<title>B-tree Support Functions</title> <title>B-tree Support Functions</title>
<titleabbrev>B-tree</titleabbrev>
<tgroup cols="2"> <tgroup cols="2">
<thead> <thead>
<row> <row>
...@@ -297,13 +288,12 @@ PostgreSQL documentation ...@@ -297,13 +288,12 @@ PostgreSQL documentation
</table> </table>
<para> <para>
Hash indexes likewise require one support function, as shown in <xref Hash indexes likewise require one support function, shown in <xref
linkend="xindex-hash-support-table">. linkend="xindex-hash-support-table">.
</para> </para>
<table tocentry="1" id="xindex-hash-support-table"> <table tocentry="1" id="xindex-hash-support-table">
<title>Hash Support Functions</title> <title>Hash Support Functions</title>
<titleabbrev>Hash</titleabbrev>
<tgroup cols="2"> <tgroup cols="2">
<thead> <thead>
<row> <row>
...@@ -322,12 +312,11 @@ PostgreSQL documentation ...@@ -322,12 +312,11 @@ PostgreSQL documentation
<para> <para>
R-tree indexes require three support functions, R-tree indexes require three support functions,
as shown in <xref linkend="xindex-rtree-support-table">. shown in <xref linkend="xindex-rtree-support-table">.
</para> </para>
<table tocentry="1" id="xindex-rtree-support-table"> <table tocentry="1" id="xindex-rtree-support-table">
<title>R-tree Support Functions</title> <title>R-tree Support Functions</title>
<titleabbrev>R-tree</titleabbrev>
<tgroup cols="2"> <tgroup cols="2">
<thead> <thead>
<row> <row>
...@@ -354,12 +343,11 @@ PostgreSQL documentation ...@@ -354,12 +343,11 @@ PostgreSQL documentation
<para> <para>
GiST indexes require seven support functions, GiST indexes require seven support functions,
as shown in <xref linkend="xindex-gist-support-table">. shown in <xref linkend="xindex-gist-support-table">.
</para> </para>
<table tocentry="1" id="xindex-gist-support-table"> <table tocentry="1" id="xindex-gist-support-table">
<title>GiST Support Functions</title> <title>GiST Support Functions</title>
<titleabbrev>GiST</titleabbrev>
<tgroup cols="2"> <tgroup cols="2">
<thead> <thead>
<row> <row>
...@@ -400,18 +388,24 @@ PostgreSQL documentation ...@@ -400,18 +388,24 @@ PostgreSQL documentation
</tgroup> </tgroup>
</table> </table>
</sect1> <para>
Unlike strategy operators, support functions return whichever data
type the particular index method expects, for example in the case
of the comparison function for B-trees, a signed integer.
</para>
</sect2>
<sect1 id="xindex-operators"> <sect2 id="xindex-example">
<title>Creating the Operators and Support Routines</title> <title>An Example</title>
<para> <para>
Now that we have seen the ideas, here is the promised example Now that we have seen the ideas, here is the promised example of
of creating a new operator class. First, we need a set of operators. creating a new operator class. The operator class encapsulates
The procedure for operators that sort complex numbers in absolute value order, so we
defining operators was discussed in <xref linkend="xoper">. choose the name <literal>complex_abs_ops</literal>. First, we need
For the <literal>complex_abs_ops</literal> operator class on B-trees, a set of operators. The procedure for defining operators was
the operators we require are: discussed in <xref linkend="xoper">. For an operator class on
B-trees, the operators we require are:
<itemizedlist spacing="compact"> <itemizedlist spacing="compact">
<listitem><simpara>absolute-value less-than (strategy 1)</></> <listitem><simpara>absolute-value less-than (strategy 1)</></>
...@@ -423,128 +417,102 @@ PostgreSQL documentation ...@@ -423,128 +417,102 @@ PostgreSQL documentation
</para> </para>
<para> <para>
Suppose the code that implements these functions The C code for the equality operator look like this:
is stored in the file
<filename><replaceable>PGROOT</replaceable>/src/tutorial/complex.c</filename>,
which we have compiled into
<filename><replaceable>PGROOT</replaceable>/src/tutorial/complex.so</filename>.
Part of the C code looks like this:
<programlisting> <programlisting>
#define Mag(c) ((c)-&gt;x*(c)-&gt;x + (c)-&gt;y*(c)-&gt;y) #define Mag(c) ((c)-&gt;x*(c)-&gt;x + (c)-&gt;y*(c)-&gt;y)
bool bool
complex_abs_eq(Complex *a, Complex *b) complex_abs_eq(Complex *a, Complex *b)
{ {
double amag = Mag(a), bmag = Mag(b); double amag = Mag(a), bmag = Mag(b);
return (amag==bmag); return (amag == bmag);
} }
</programlisting> </programlisting>
(Note that we will only show the equality operator in this text. The other four operators are very similar. You can find their code
The other four operators are very similar. Refer to in <filename>src/tutorial/complex.c</filename> and
<filename>complex.c</filename> or <filename>src/tutorial/complex.sql</filename> in the source
<filename>complex.source</filename> for the details.) distribution.
</para> </para>
<para> <para>
We make the function known to <productname>PostgreSQL</productname> like this: Now declare the functions and the operators based on the functions:
<programlisting> <programlisting>
CREATE FUNCTION complex_abs_eq(complex, complex) RETURNS boolean CREATE FUNCTION complex_abs_eq(complex, complex) RETURNS boolean
AS '<replaceable>PGROOT</replaceable>/src/tutorial/complex' AS '<replaceable>filename</replaceable>', 'complex_abs_eq'
LANGUAGE C; LANGUAGE C;
CREATE OPERATOR = (
leftarg = complex,
rightarg = complex,
procedure = complex_abs_eq,
restrict = eqsel,
join = eqjoinsel
);
</programlisting> </programlisting>
It is important to specify the restriction and join selectivity
functions, otherwise the optimizer will be unable to make effective
use of the index. Note that there less-than, equal, and
greater-than cases should use different selectivity functions.
</para> </para>
<para> <para>
There are some important things that are happening here: Other things worth noting are happening here:
<itemizedlist> <itemizedlist>
<listitem> <listitem>
<para> <para>
First, note that operators for less-than, less-than-or-equal, equal, There can only be one operator named, say, <literal>=</literal>
greater-than-or-equal, and greater-than for <filename>complex</filename> and taking type <type>complex</type> for both operands. In this
are being defined. We can only have one operator named, say, = and case we don't have any other operator <literal>=</literal> for
taking type <filename>complex</filename> for both operands. In this case <type>complex</type>, but if we were building a practical data
we don't have any other operator = for <filename>complex</filename>, type we'd probably want <literal>=</literal> to be the ordinary
but if we were building a practical data type we'd probably want = to equality operation for complex numbers (and not the equality of
be the ordinary equality operation for complex numbers. In that case, the absolute values). In that case, we'd need to use some other
we'd need to use some other operator name for <function>complex_abs_eq</>. operator name for <function>complex_abs_eq</>.
</para> </para>
</listitem> </listitem>
<listitem> <listitem>
<para> <para>
Second, although <productname>PostgreSQL</productname> can cope with operators having Although <productname>PostgreSQL</productname> can cope with
the same name as long as they have different input data types, C can only functions having the same name as long as they have different
cope with one global routine having a given name, period. So we shouldn't argument data types, C can only cope with one global function
name the C function something simple like <filename>abs_eq</filename>. having a given name. So we shouldn't name the C function
Usually it's a good practice to include the data type name in the C something simple like <filename>abs_eq</filename>. Usually it's
function name, so as not to conflict with functions for other data types. a good practice to include the data type name in the C function
</para> name, so as not to conflict with functions for other data types.
</para>
</listitem> </listitem>
<listitem> <listitem>
<para> <para>
Third, we could have made the <productname>PostgreSQL</productname> name of the function We could have made the <productname>PostgreSQL</productname> name
<filename>abs_eq</filename>, relying on <productname>PostgreSQL</productname> to distinguish it of the function <filename>abs_eq</filename>, relying on
by input data types from any other <productname>PostgreSQL</productname> function of the same name. <productname>PostgreSQL</productname> to distinguish it by
To keep the example simple, we make the function have the same names argument data types from any other
at the C level and <productname>PostgreSQL</productname> level. <productname>PostgreSQL</productname> function of the same name.
</para> To keep the example simple, we make the function have the same
</listitem> names at the C level and <productname>PostgreSQL</productname>
level.
<listitem> </para>
<para>
Finally, note that these operator functions return Boolean values.
In practice, all operators defined as index access method
strategies must return type <type>boolean</type>, since they must
appear at the top level of a <literal>WHERE</> clause to be used with an index.
(On the other hand, support functions return whatever the
particular access method expects -- in the case of the comparison
function for B-trees, a signed integer.)
</para>
</listitem> </listitem>
</itemizedlist> </itemizedlist>
</para> </para>
<para> <para>
Now we are ready to define the operators: The next step is the registration of the support routine required
by B-trees. The example C code that implements this is in the same
<programlisting> file that contains the operator functions. This is how we declare
CREATE OPERATOR = ( the function:
leftarg = complex, rightarg = complex,
procedure = complex_abs_eq,
restrict = eqsel, join = eqjoinsel
);
</programlisting>
The important
things here are the procedure names (which are the C
functions defined above) and the restriction and join selectivity
functions. You should just use the selectivity functions used in
the example (see <filename>complex.source</filename>).
Note that there
are different such functions for the less-than, equal, and greater-than
cases. These must be supplied or the optimizer will be unable to
make effective use of the index.
</para>
<para>
The next step is the registration of the comparison <quote>support
routine</quote> required by B-trees. The C code that implements this
is in the same file that contains the operator procedures:
<programlisting> <programlisting>
CREATE FUNCTION complex_abs_cmp(complex, complex) CREATE FUNCTION complex_abs_cmp(complex, complex)
RETURNS integer RETURNS integer
AS '<replaceable>PGROOT</replaceable>/src/tutorial/complex' AS '<replaceable>filename</replaceable>'
LANGUAGE C; LANGUAGE C;
</programlisting> </programlisting>
</para> </para>
</sect1>
<sect1 id="xindex-opclass">
<title>Creating the Operator Class</title>
<para> <para>
Now that we have the required operators and support routine, Now that we have the required operators and support routine,
...@@ -563,7 +531,7 @@ CREATE OPERATOR CLASS complex_abs_ops ...@@ -563,7 +531,7 @@ CREATE OPERATOR CLASS complex_abs_ops
</para> </para>
<para> <para>
And we're done! (Whew.) It should now be possible to create And we're done! It should now be possible to create
and use B-tree indexes on <type>complex</type> columns. and use B-tree indexes on <type>complex</type> columns.
</para> </para>
...@@ -581,28 +549,28 @@ CREATE OPERATOR CLASS complex_abs_ops ...@@ -581,28 +549,28 @@ CREATE OPERATOR CLASS complex_abs_ops
default B-tree operator class for the <type>complex</type> data type. default B-tree operator class for the <type>complex</type> data type.
If you don't, just leave out the word <literal>DEFAULT</>. If you don't, just leave out the word <literal>DEFAULT</>.
</para> </para>
</sect1> </sect2>
<sect1 id="xindex-opclass-features"> <sect2 id="xindex-opclass-features">
<title>Special Features of Operator Classes</title> <title>Special Features of Operator Classes</title>
<para> <para>
There are two special features of operator classes that we have There are two special features of operator classes that we have
not discussed yet, mainly because they are not very useful not discussed yet, mainly because they are not very useful
with the default B-tree index access method. with the default B-tree index method.
</para> </para>
<para> <para>
Normally, declaring an operator as a member of an operator class means Normally, declaring an operator as a member of an operator class means
that the index access method can retrieve exactly the set of rows that the index method can retrieve exactly the set of rows
that satisfy a WHERE condition using the operator. For example, that satisfy a <literal>WHERE</> condition using the operator. For example,
<programlisting> <programlisting>
SELECT * FROM table WHERE integer_column &lt; 4; SELECT * FROM table WHERE integer_column &lt; 4;
</programlisting> </programlisting>
can be satisfied exactly by a B-tree index on the integer column. can be satisfied exactly by a B-tree index on the integer column.
But there are cases where an index is useful as an inexact guide to But there are cases where an index is useful as an inexact guide to
the matching rows. For example, if an R-tree index stores only the matching rows. For example, if an R-tree index stores only
bounding boxes for objects, then it cannot exactly satisfy a WHERE bounding boxes for objects, then it cannot exactly satisfy a <literal>WHERE</>
condition that tests overlap between nonrectangular objects such as condition that tests overlap between nonrectangular objects such as
polygons. Yet we could use the index to find objects whose bounding polygons. Yet we could use the index to find objects whose bounding
box overlaps the bounding box of the target object, and then do the box overlaps the bounding box of the target object, and then do the
...@@ -611,8 +579,8 @@ SELECT * FROM table WHERE integer_column &lt; 4; ...@@ -611,8 +579,8 @@ SELECT * FROM table WHERE integer_column &lt; 4;
operator, and we add <literal>RECHECK</> to the <literal>OPERATOR</> clause operator, and we add <literal>RECHECK</> to the <literal>OPERATOR</> clause
in the <command>CREATE OPERATOR CLASS</> command. in the <command>CREATE OPERATOR CLASS</> command.
<literal>RECHECK</> is valid if the index is guaranteed to return <literal>RECHECK</> is valid if the index is guaranteed to return
all the required tuples, plus perhaps some additional tuples, which all the required rows, plus perhaps some additional rows, which
can be eliminated by performing the original operator comparison. can be eliminated by performing the original operator invocation.
</para> </para>
<para> <para>
...@@ -620,7 +588,7 @@ SELECT * FROM table WHERE integer_column &lt; 4; ...@@ -620,7 +588,7 @@ SELECT * FROM table WHERE integer_column &lt; 4;
the bounding box of a complex object such as a polygon. In this the bounding box of a complex object such as a polygon. In this
case there's not much value in storing the whole polygon in the index case there's not much value in storing the whole polygon in the index
entry --- we may as well store just a simpler object of type entry --- we may as well store just a simpler object of type
<literal>box</>. This situation is expressed by the <literal>STORAGE</> <type>box</>. This situation is expressed by the <literal>STORAGE</>
option in <command>CREATE OPERATOR CLASS</>: we'd write something like option in <command>CREATE OPERATOR CLASS</>: we'd write something like
<programlisting> <programlisting>
...@@ -630,15 +598,15 @@ CREATE OPERATOR CLASS polygon_ops ...@@ -630,15 +598,15 @@ CREATE OPERATOR CLASS polygon_ops
STORAGE box; STORAGE box;
</programlisting> </programlisting>
At present, only the GiST access method supports a At present, only the GiST index method supports a
<literal>STORAGE</> type that's different from the column data type. <literal>STORAGE</> type that's different from the column data type.
The GiST <literal>compress</> and <literal>decompress</> support The GiST <literal>compress</> and <literal>decompress</> support
routines must deal with data-type conversion when <literal>STORAGE</> routines must deal with data-type conversion when <literal>STORAGE</>
is used. is used.
</para> </para>
</sect1> </sect2>
</chapter> </sect1>
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Local variables: Local variables:
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