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📄 xindex.sgml

📁 PostgreSQL 8.1.4的源码 适用于Linux下的开源数据库系统
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<!--$PostgreSQL: pgsql/doc/src/sgml/xindex.sgml,v 1.41 2005/07/19 01:27:59 neilc Exp $--><sect1 id="xindex"> <title>Interfacing Extensions To Indexes</title> <indexterm zone="xindex">  <primary>index</primary>  <secondary>for user-defined data type</secondary> </indexterm>  <para>   The procedures described thus far let you define new types, new   functions, and new operators. However, we cannot yet define an   index on a column of a new data type.  To do this, we must define an   <firstterm>operator class</> for the new data type.  Later in this   section, we will illustrate this concept in an example: a new   operator class for the B-tree index method that stores and sorts   complex numbers in ascending absolute value order.  </para>  <note>   <para>    Prior to <productname>PostgreSQL</productname> release 7.3, it was    necessary to make manual additions to the system catalogs    <classname>pg_amop</>, <classname>pg_amproc</>, and    <classname>pg_opclass</> in order to create a user-defined    operator class.  That approach is now deprecated in favor of using    <xref linkend="sql-createopclass" endterm="sql-createopclass-title">,    which is a much simpler and less error-prone way of creating the    necessary catalog entries.   </para>  </note> <sect2 id="xindex-im">  <title>Index Methods and Operator Classes</title>  <para>   The <classname>pg_am</classname> table contains one row for every   index method (internally known as access method).  Support for   regular access to tables is built into   <productname>PostgreSQL</productname>, but all index methods are   described in <classname>pg_am</classname>.  It is possible to add a   new index method by defining the required interface routines and   then creating a row in <classname>pg_am</classname> &mdash; but that is   beyond the scope of this chapter (see <xref linkend="indexam">).  </para>  <para>   The routines for an index method do not directly know anything   about the data types that the index method will operate on.   Instead, an <firstterm>operator   class</><indexterm><primary>operator class</></indexterm>   identifies the set of operations that the 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 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 specify some <firstterm>support   procedures</> that are needed by the internal operations of the   index method, but do not directly correspond to any   <literal>WHERE</>-clause operator that can be used with the index.  </para>  <para>   It is possible to define multiple operator classes for the same   data type and index method.  By doing this, multiple   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 each data type it works on.   It might be useful for a complex-number data type   to have one B-tree operator class that sorts the data by complex   absolute value, another that sorts by real part, and so on.   Typically, one of the operator classes will be deemed most commonly   useful and will be marked as the default operator class for that   data type and index method.  </para>  <para>   The same operator class name   can be used for several different index methods (for example, both B-tree   and hash index methods have operator classes named   <literal>int4_ops</literal>), but each such class is an independent   entity and must be defined separately.  </para> </sect2> <sect2 id="xindex-strategies">  <title>Index Method Strategies</title>  <para>   The operators associated with an operator class are identified by   <quote>strategy numbers</>, which serve to identify the semantics of   each operator within the context of its operator class.   For example, B-trees impose a strict ordering on keys, lesser to greater,   and so operators like <quote>less than</> and <quote>greater than or equal   to</> are interesting with respect to a B-tree.   Because   <productname>PostgreSQL</productname> allows the user to define operators,   <productname>PostgreSQL</productname> cannot look at the name of an operator   (e.g., <literal>&lt;</> or <literal>&gt;=</>) and tell what kind of   comparison it is.  Instead, the index method defines a set of   <quote>strategies</>, which can be thought of as generalized operators.   Each operator class specifies which actual operator corresponds to each   strategy for a particular data type and interpretation of the index   semantics.  </para>  <para>   The B-tree index method defines five strategies, shown in <xref   linkend="xindex-btree-strat-table">.  </para>   <table tocentry="1" id="xindex-btree-strat-table">    <title>B-tree Strategies</title>    <tgroup cols="2">     <thead>      <row>       <entry>Operation</entry>       <entry>Strategy Number</entry>      </row>     </thead>     <tbody>      <row>       <entry>less than</entry>       <entry>1</entry>      </row>      <row>       <entry>less than or equal</entry>       <entry>2</entry>      </row>      <row>       <entry>equal</entry>       <entry>3</entry>      </row>      <row>       <entry>greater than or equal</entry>       <entry>4</entry>      </row>      <row>       <entry>greater than</entry>       <entry>5</entry>      </row>     </tbody>    </tgroup>   </table>  <para>   Hash indexes express only bitwise equality, and so they use only one   strategy, shown in <xref linkend="xindex-hash-strat-table">.  </para>   <table tocentry="1" id="xindex-hash-strat-table">    <title>Hash Strategies</title>    <tgroup cols="2">     <thead>      <row>       <entry>Operation</entry>       <entry>Strategy Number</entry>      </row>     </thead>     <tbody>      <row>       <entry>equal</entry>       <entry>1</entry>      </row>     </tbody>    </tgroup>   </table>  <para>   R-tree indexes express relationships in two-dimensional space.   They use twelve strategies, shown in   <xref linkend="xindex-rtree-strat-table">.  Four of these are true   two-dimensional tests (overlaps, same, contains, contained by);   four of them consider only the X direction; and the other four   provide the same tests in the Y direction.  </para>   <table tocentry="1" id="xindex-rtree-strat-table">    <title>R-tree Strategies</title>    <tgroup cols="2">     <thead>      <row>       <entry>Operation</entry>       <entry>Strategy Number</entry>      </row>     </thead>     <tbody>      <row>       <entry>strictly left of</entry>       <entry>1</entry>      </row>      <row>       <entry>does not extend to right of</entry>       <entry>2</entry>      </row>      <row>       <entry>overlaps</entry>       <entry>3</entry>      </row>      <row>       <entry>does not extend to left of</entry>       <entry>4</entry>      </row>      <row>       <entry>strictly right of</entry>       <entry>5</entry>      </row>      <row>       <entry>same</entry>       <entry>6</entry>      </row>      <row>       <entry>contains</entry>       <entry>7</entry>      </row>      <row>       <entry>contained by</entry>       <entry>8</entry>      </row>      <row>       <entry>does not extend above</entry>       <entry>9</entry>      </row>      <row>       <entry>strictly below</entry>       <entry>10</entry>      </row>      <row>       <entry>strictly above</entry>       <entry>11</entry>      </row>      <row>       <entry>does not extend below</entry>       <entry>12</entry>      </row>     </tbody>    </tgroup>   </table>  <para>   GiST indexes are even more flexible: they do not have a fixed set of   strategies at all.  Instead, the <quote>consistency</> support routine   of each particular GiST operator class interprets the strategy numbers   however it likes.  </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>   By the way, the <structfield>amorderstrategy</structfield> column   in <classname>pg_am</> tells whether   the index method supports ordered scans.  Zero means it doesn't; if it   does, <structfield>amorderstrategy</structfield> is the strategy   number that corresponds to the ordering operator.  For example, B-tree   has <structfield>amorderstrategy</structfield> = 1, which is its   <quote>less than</quote> strategy number.  </para> </sect2> <sect2 id="xindex-support">  <title>Index Method Support Routines</title>  <para>   Strategies aren't usually enough information for the system to figure   out how to use an index.  In practice, the index methods require   additional support routines in order to work. For example, the B-tree   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   R-tree index method must be able to compute   intersections,  unions, and sizes of rectangles.  These   operations do not correspond to operators used in qualifications in   SQL commands;  they are administrative routines used by   the index methods, internally.  </para>  <para>   Just as with strategies, the operator class identifies which specific   functions should play each of these roles for a given data type and   semantic interpretation.  The index method defines the set   of functions it needs, and the operator class identifies the correct   functions to use by assigning them to the <quote>support function numbers</>.  </para>  <para>   B-trees require a single support function, shown in <xref   linkend="xindex-btree-support-table">.  </para>   <table tocentry="1" id="xindex-btree-support-table">    <title>B-tree Support Functions</title>    <tgroup cols="2">     <thead>      <row>       <entry>Function</entry>       <entry>Support Number</entry>      </row>     </thead>     <tbody>      <row>       <entry>   Compare two keys and return an integer less than zero, zero, or   greater than zero, indicating whether the first key is less than, equal to,   or greater than the second.       </entry>       <entry>1</entry>      </row>     </tbody>    </tgroup>   </table>  <para>   Hash indexes likewise require one support function, shown in <xref   linkend="xindex-hash-support-table">.  </para>   <table tocentry="1" id="xindex-hash-support-table">    <title>Hash Support Functions</title>    <tgroup cols="2">     <thead>      <row>       <entry>Function</entry>       <entry>Support Number</entry>      </row>     </thead>     <tbody>      <row>       <entry>Compute the hash value for a key</entry>       <entry>1</entry>      </row>     </tbody>    </tgroup>   </table>  <para>   R-tree indexes require three support functions,   shown in <xref linkend="xindex-rtree-support-table">.  </para>   <table tocentry="1" id="xindex-rtree-support-table">    <title>R-tree Support Functions</title>    <tgroup cols="2">     <thead>      <row>       <entry>Function</entry>       <entry>Support Number</entry>      </row>     </thead>     <tbody>      <row>       <entry>union</entry>       <entry>1</entry>      </row>      <row>       <entry>intersection</entry>       <entry>2</entry>      </row>      <row>       <entry>size</entry>       <entry>3</entry>      </row>     </tbody>    </tgroup>   </table>  <para>   GiST indexes require seven support functions,   shown in <xref linkend="xindex-gist-support-table">.  </para>   <table tocentry="1" id="xindex-gist-support-table">    <title>GiST Support Functions</title>    <tgroup cols="2">     <thead>      <row>       <entry>Function</entry>       <entry>Support Number</entry>      </row>     </thead>     <tbody>      <row>       <entry>consistent</entry>       <entry>1</entry>      </row>      <row>       <entry>union</entry>       <entry>2</entry>      </row>      <row>       <entry>compress</entry>       <entry>3</entry>      </row>      <row>       <entry>decompress</entry>       <entry>4</entry>

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