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1<?xml version="1.0" encoding="UTF-8" standalone="no"?>2<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title>68.4. Implementation</title><link rel="stylesheet" type="text/css" href="stylesheet.css" /><link rev="made" href="pgsql-docs@lists.postgresql.org" /><meta name="generator" content="DocBook XSL Stylesheets Vsnapshot" /><link rel="prev" href="gist-extensibility.html" title="68.3. Extensibility" /><link rel="next" href="gist-examples.html" title="68.5. Examples" /></head><body id="docContent" class="container-fluid col-10"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">68.4. Implementation</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="gist-extensibility.html" title="68.3. Extensibility">Prev</a> </td><td width="10%" align="left"><a accesskey="u" href="gist.html" title="Chapter 68. GiST Indexes">Up</a></td><th width="60%" align="center">Chapter 68. GiST Indexes</th><td width="10%" align="right"><a accesskey="h" href="index.html" title="PostgreSQL 16.3 Documentation">Home</a></td><td width="10%" align="right"> <a accesskey="n" href="gist-examples.html" title="68.5. Examples">Next</a></td></tr></table><hr /></div><div class="sect1" id="GIST-IMPLEMENTATION"><div class="titlepage"><div><div><h2 class="title" style="clear: both">68.4. Implementation <a href="#GIST-IMPLEMENTATION" class="id_link">#</a></h2></div></div></div><div class="toc"><dl class="toc"><dt><span class="sect2"><a href="gist-implementation.html#GIST-BUFFERING-BUILD">68.4.1. GiST Index Build Methods</a></span></dt></dl></div><div class="sect2" id="GIST-BUFFERING-BUILD"><div class="titlepage"><div><div><h3 class="title">68.4.1. GiST Index Build Methods <a href="#GIST-BUFFERING-BUILD" class="id_link">#</a></h3></div></div></div><p>3 The simplest way to build a GiST index is just to insert all the entries,4 one by one. This tends to be slow for large indexes, because if the5 index tuples are scattered across the index and the index is large enough6 to not fit in cache, a lot of random I/O will be7 needed. <span class="productname">PostgreSQL</span> supports two alternative8 methods for initial build of a GiST index: <em class="firstterm">sorted</em>9 and <em class="firstterm">buffered</em> modes.10 </p><p>11 The sorted method is only available if each of the opclasses used by the12 index provides a <code class="function">sortsupport</code> function, as described13 in <a class="xref" href="gist-extensibility.html" title="68.3. Extensibility">Section 68.3</a>. If they do, this method is14 usually the best, so it is used by default.15 </p><p>16 The buffered method works by not inserting tuples directly into the index17 right away. It can dramatically reduce the amount of random I/O needed18 for non-ordered data sets. For well-ordered data sets the benefit is19 smaller or non-existent, because only a small number of pages receive new20 tuples at a time, and those pages fit in cache even if the index as a21 whole does not.22 </p><p>23 The buffered method needs to call the <code class="function">penalty</code>24 function more often than the simple method does, which consumes some25 extra CPU resources. Also, the buffers need temporary disk space, up to26 the size of the resulting index. Buffering can also influence the quality27 of the resulting index, in both positive and negative directions. That28 influence depends on various factors, like the distribution of the input29 data and the operator class implementation.30 </p><p>31 If sorting is not possible, then by default a GiST index build switches32 to the buffering method when the index size reaches33 <a class="xref" href="runtime-config-query.html#GUC-EFFECTIVE-CACHE-SIZE">effective_cache_size</a>. Buffering can be manually34 forced or prevented by the <code class="literal">buffering</code> parameter to the35 CREATE INDEX command. The default behavior is good for most cases, but36 turning buffering off might speed up the build somewhat if the input data37 is ordered.38 </p></div></div><div class="navfooter"><hr /><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="gist-extensibility.html" title="68.3. Extensibility">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="gist.html" title="Chapter 68. GiST Indexes">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="gist-examples.html" title="68.5. Examples">Next</a></td></tr><tr><td width="40%" align="left" valign="top">68.3. Extensibility </td><td width="20%" align="center"><a accesskey="h" href="index.html" title="PostgreSQL 16.3 Documentation">Home</a></td><td width="40%" align="right" valign="top"> 68.5. Examples</td></tr></table></div></body></html>