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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 12:17:33 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 12:17:33 +0000
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+<!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>67.4. 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="btree-support-funcs.html" title="67.3. B-Tree Support Functions" /><link rel="next" href="gist.html" title="Chapter 68. GiST Indexes" /></head><body id="docContent" class="container-fluid col-10"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="5" align="center">67.4. Implementation</th></tr><tr><td width="10%" align="left"><a accesskey="p" href="btree-support-funcs.html" title="67.3. B-Tree Support Functions">Prev</a> </td><td width="10%" align="left"><a accesskey="u" href="btree.html" title="Chapter 67. B-Tree Indexes">Up</a></td><th width="60%" align="center">Chapter 67. B-Tree Indexes</th><td width="10%" align="right"><a accesskey="h" href="index.html" title="PostgreSQL 15.5 Documentation">Home</a></td><td width="10%" align="right"> <a accesskey="n" href="gist.html" title="Chapter 68. GiST Indexes">Next</a></td></tr></table><hr /></div><div class="sect1" id="BTREE-IMPLEMENTATION"><div class="titlepage"><div><div><h2 class="title" style="clear: both">67.4. Implementation</h2></div></div></div><div class="toc"><dl class="toc"><dt><span class="sect2"><a href="btree-implementation.html#BTREE-STRUCTURE">67.4.1. B-Tree Structure</a></span></dt><dt><span class="sect2"><a href="btree-implementation.html#BTREE-DELETION">67.4.2. Bottom-up Index Deletion</a></span></dt><dt><span class="sect2"><a href="btree-implementation.html#BTREE-DEDUPLICATION">67.4.3. Deduplication</a></span></dt></dl></div><p>
+ This section covers B-Tree index implementation details that may be
+ of use to advanced users. See
+ <code class="filename">src/backend/access/nbtree/README</code> in the source
+ distribution for a much more detailed, internals-focused description
+ of the B-Tree implementation.
+ </p><div class="sect2" id="BTREE-STRUCTURE"><div class="titlepage"><div><div><h3 class="title">67.4.1. B-Tree Structure</h3></div></div></div><p>
+ <span class="productname">PostgreSQL</span> B-Tree indexes are
+ multi-level tree structures, where each level of the tree can be
+ used as a doubly-linked list of pages. A single metapage is stored
+ in a fixed position at the start of the first segment file of the
+ index. All other pages are either leaf pages or internal pages.
+ Leaf pages are the pages on the lowest level of the tree. All
+ other levels consist of internal pages. Each leaf page contains
+ tuples that point to table rows. Each internal page contains
+ tuples that point to the next level down in the tree. Typically,
+ over 99% of all pages are leaf pages. Both internal pages and leaf
+ pages use the standard page format described in <a class="xref" href="storage-page-layout.html" title="73.6. Database Page Layout">Section 73.6</a>.
+ </p><p>
+ New leaf pages are added to a B-Tree index when an existing leaf
+ page cannot fit an incoming tuple. A <em class="firstterm">page
+ split</em> operation makes room for items that originally
+ belonged on the overflowing page by moving a portion of the items
+ to a new page. Page splits must also insert a new
+ <em class="firstterm">downlink</em> to the new page in the parent page,
+ which may cause the parent to split in turn. Page splits
+ <span class="quote">“<span class="quote">cascade upwards</span>”</span> in a recursive fashion. When the
+ root page finally cannot fit a new downlink, a <em class="firstterm">root page
+ split</em> operation takes place. This adds a new level to
+ the tree structure by creating a new root page that is one level
+ above the original root page.
+ </p></div><div class="sect2" id="BTREE-DELETION"><div class="titlepage"><div><div><h3 class="title">67.4.2. Bottom-up Index Deletion</h3></div></div></div><p>
+ B-Tree indexes are not directly aware that under MVCC, there might
+ be multiple extant versions of the same logical table row; to an
+ index, each tuple is an independent object that needs its own index
+ entry. <span class="quote">“<span class="quote">Version churn</span>”</span> tuples may sometimes
+ accumulate and adversely affect query latency and throughput. This
+ typically occurs with <code class="command">UPDATE</code>-heavy workloads
+ where most individual updates cannot apply the
+ <a class="link" href="storage-hot.html" title="73.7. Heap-Only Tuples (HOT)"><acronym class="acronym">HOT</acronym> optimization.</a>
+ Changing the value of only
+ one column covered by one index during an <code class="command">UPDATE</code>
+ <span class="emphasis"><em>always</em></span> necessitates a new set of index tuples
+ — one for <span class="emphasis"><em>each and every</em></span> index on the
+ table. Note in particular that this includes indexes that were not
+ <span class="quote">“<span class="quote">logically modified</span>”</span> by the <code class="command">UPDATE</code>.
+ All indexes will need a successor physical index tuple that points
+ to the latest version in the table. Each new tuple within each
+ index will generally need to coexist with the original
+ <span class="quote">“<span class="quote">updated</span>”</span> tuple for a short period of time (typically
+ until shortly after the <code class="command">UPDATE</code> transaction
+ commits).
+ </p><p>
+ B-Tree indexes incrementally delete version churn index tuples by
+ performing <em class="firstterm">bottom-up index deletion</em> passes.
+ Each deletion pass is triggered in reaction to an anticipated
+ <span class="quote">“<span class="quote">version churn page split</span>”</span>. This only happens with
+ indexes that are not logically modified by
+ <code class="command">UPDATE</code> statements, where concentrated build up
+ of obsolete versions in particular pages would occur otherwise. A
+ page split will usually be avoided, though it's possible that
+ certain implementation-level heuristics will fail to identify and
+ delete even one garbage index tuple (in which case a page split or
+ deduplication pass resolves the issue of an incoming new tuple not
+ fitting on a leaf page). The worst-case number of versions that
+ any index scan must traverse (for any single logical row) is an
+ important contributor to overall system responsiveness and
+ throughput. A bottom-up index deletion pass targets suspected
+ garbage tuples in a single leaf page based on
+ <span class="emphasis"><em>qualitative</em></span> distinctions involving logical
+ rows and versions. This contrasts with the <span class="quote">“<span class="quote">top-down</span>”</span>
+ index cleanup performed by autovacuum workers, which is triggered
+ when certain <span class="emphasis"><em>quantitative</em></span> table-level
+ thresholds are exceeded (see <a class="xref" href="routine-vacuuming.html#AUTOVACUUM" title="25.1.6. The Autovacuum Daemon">Section 25.1.6</a>).
+ </p><div class="note"><h3 class="title">Note</h3><p>
+ Not all deletion operations that are performed within B-Tree
+ indexes are bottom-up deletion operations. There is a distinct
+ category of index tuple deletion: <em class="firstterm">simple index tuple
+ deletion</em>. This is a deferred maintenance operation
+ that deletes index tuples that are known to be safe to delete
+ (those whose item identifier's <code class="literal">LP_DEAD</code> bit is
+ already set). Like bottom-up index deletion, simple index
+ deletion takes place at the point that a page split is anticipated
+ as a way of avoiding the split.
+ </p><p>
+ Simple deletion is opportunistic in the sense that it can only
+ take place when recent index scans set the
+ <code class="literal">LP_DEAD</code> bits of affected items in passing.
+ Prior to <span class="productname">PostgreSQL</span> 14, the only
+ category of B-Tree deletion was simple deletion. The main
+ differences between it and bottom-up deletion are that only the
+ former is opportunistically driven by the activity of passing
+ index scans, while only the latter specifically targets version
+ churn from <code class="command">UPDATE</code>s that do not logically modify
+ indexed columns.
+ </p></div><p>
+ Bottom-up index deletion performs the vast majority of all garbage
+ index tuple cleanup for particular indexes with certain workloads.
+ This is expected with any B-Tree index that is subject to
+ significant version churn from <code class="command">UPDATE</code>s that
+ rarely or never logically modify the columns that the index covers.
+ The average and worst-case number of versions per logical row can
+ be kept low purely through targeted incremental deletion passes.
+ It's quite possible that the on-disk size of certain indexes will
+ never increase by even one single page/block despite
+ <span class="emphasis"><em>constant</em></span> version churn from
+ <code class="command">UPDATE</code>s. Even then, an exhaustive <span class="quote">“<span class="quote">clean
+ sweep</span>”</span> by a <code class="command">VACUUM</code> operation (typically
+ run in an autovacuum worker process) will eventually be required as
+ a part of <span class="emphasis"><em>collective</em></span> cleanup of the table and
+ each of its indexes.
+ </p><p>
+ Unlike <code class="command">VACUUM</code>, bottom-up index deletion does not
+ provide any strong guarantees about how old the oldest garbage
+ index tuple may be. No index can be permitted to retain
+ <span class="quote">“<span class="quote">floating garbage</span>”</span> index tuples that became dead prior
+ to a conservative cutoff point shared by the table and all of its
+ indexes collectively. This fundamental table-level invariant makes
+ it safe to recycle table <acronym class="acronym">TID</acronym>s. This is how it
+ is possible for distinct logical rows to reuse the same table
+ <acronym class="acronym">TID</acronym> over time (though this can never happen with
+ two logical rows whose lifetimes span the same
+ <code class="command">VACUUM</code> cycle).
+ </p></div><div class="sect2" id="BTREE-DEDUPLICATION"><div class="titlepage"><div><div><h3 class="title">67.4.3. Deduplication</h3></div></div></div><p>
+ A duplicate is a leaf page tuple (a tuple that points to a table
+ row) where <span class="emphasis"><em>all</em></span> indexed key columns have values
+ that match corresponding column values from at least one other leaf
+ page tuple in the same index. Duplicate tuples are quite common in
+ practice. B-Tree indexes can use a special, space-efficient
+ representation for duplicates when an optional technique is
+ enabled: <em class="firstterm">deduplication</em>.
+ </p><p>
+ Deduplication works by periodically merging groups of duplicate
+ tuples together, forming a single <em class="firstterm">posting list</em> tuple for each
+ group. The column key value(s) only appear once in this
+ representation. This is followed by a sorted array of
+ <acronym class="acronym">TID</acronym>s that point to rows in the table. This
+ significantly reduces the storage size of indexes where each value
+ (or each distinct combination of column values) appears several
+ times on average. The latency of queries can be reduced
+ significantly. Overall query throughput may increase
+ significantly. The overhead of routine index vacuuming may also be
+ reduced significantly.
+ </p><div class="note"><h3 class="title">Note</h3><p>
+ B-Tree deduplication is just as effective with
+ <span class="quote">“<span class="quote">duplicates</span>”</span> that contain a NULL value, even though
+ NULL values are never equal to each other according to the
+ <code class="literal">=</code> member of any B-Tree operator class. As far
+ as any part of the implementation that understands the on-disk
+ B-Tree structure is concerned, NULL is just another value from the
+ domain of indexed values.
+ </p></div><p>
+ The deduplication process occurs lazily, when a new item is
+ inserted that cannot fit on an existing leaf page, though only when
+ index tuple deletion could not free sufficient space for the new
+ item (typically deletion is briefly considered and then skipped
+ over). Unlike GIN posting list tuples, B-Tree posting list tuples
+ do not need to expand every time a new duplicate is inserted; they
+ are merely an alternative physical representation of the original
+ logical contents of the leaf page. This design prioritizes
+ consistent performance with mixed read-write workloads. Most
+ client applications will at least see a moderate performance
+ benefit from using deduplication. Deduplication is enabled by
+ default.
+ </p><p>
+ <code class="command">CREATE INDEX</code> and <code class="command">REINDEX</code>
+ apply deduplication to create posting list tuples, though the
+ strategy they use is slightly different. Each group of duplicate
+ ordinary tuples encountered in the sorted input taken from the
+ table is merged into a posting list tuple
+ <span class="emphasis"><em>before</em></span> being added to the current pending leaf
+ page. Individual posting list tuples are packed with as many
+ <acronym class="acronym">TID</acronym>s as possible. Leaf pages are written out in
+ the usual way, without any separate deduplication pass. This
+ strategy is well-suited to <code class="command">CREATE INDEX</code> and
+ <code class="command">REINDEX</code> because they are once-off batch
+ operations.
+ </p><p>
+ Write-heavy workloads that don't benefit from deduplication due to
+ having few or no duplicate values in indexes will incur a small,
+ fixed performance penalty (unless deduplication is explicitly
+ disabled). The <code class="literal">deduplicate_items</code> storage
+ parameter can be used to disable deduplication within individual
+ indexes. There is never any performance penalty with read-only
+ workloads, since reading posting list tuples is at least as
+ efficient as reading the standard tuple representation. Disabling
+ deduplication isn't usually helpful.
+ </p><p>
+ It is sometimes possible for unique indexes (as well as unique
+ constraints) to use deduplication. This allows leaf pages to
+ temporarily <span class="quote">“<span class="quote">absorb</span>”</span> extra version churn duplicates.
+ Deduplication in unique indexes augments bottom-up index deletion,
+ especially in cases where a long-running transaction holds a
+ snapshot that blocks garbage collection. The goal is to buy time
+ for the bottom-up index deletion strategy to become effective
+ again. Delaying page splits until a single long-running
+ transaction naturally goes away can allow a bottom-up deletion pass
+ to succeed where an earlier deletion pass failed.
+ </p><div class="tip"><h3 class="title">Tip</h3><p>
+ A special heuristic is applied to determine whether a
+ deduplication pass in a unique index should take place. It can
+ often skip straight to splitting a leaf page, avoiding a
+ performance penalty from wasting cycles on unhelpful deduplication
+ passes. If you're concerned about the overhead of deduplication,
+ consider setting <code class="literal">deduplicate_items = off</code>
+ selectively. Leaving deduplication enabled in unique indexes has
+ little downside.
+ </p></div><p>
+ Deduplication cannot be used in all cases due to
+ implementation-level restrictions. Deduplication safety is
+ determined when <code class="command">CREATE INDEX</code> or
+ <code class="command">REINDEX</code> is run.
+ </p><p>
+ Note that deduplication is deemed unsafe and cannot be used in the
+ following cases involving semantically significant differences
+ among equal datums:
+ </p><p>
+ </p><div class="itemizedlist"><ul class="itemizedlist" style="list-style-type: disc; "><li class="listitem"><p>
+ <code class="type">text</code>, <code class="type">varchar</code>, and <code class="type">char</code>
+ cannot use deduplication when a
+ <span class="emphasis"><em>nondeterministic</em></span> collation is used. Case
+ and accent differences must be preserved among equal datums.
+ </p></li><li class="listitem"><p>
+ <code class="type">numeric</code> cannot use deduplication. Numeric display
+ scale must be preserved among equal datums.
+ </p></li><li class="listitem"><p>
+ <code class="type">jsonb</code> cannot use deduplication, since the
+ <code class="type">jsonb</code> B-Tree operator class uses
+ <code class="type">numeric</code> internally.
+ </p></li><li class="listitem"><p>
+ <code class="type">float4</code> and <code class="type">float8</code> cannot use
+ deduplication. These types have distinct representations for
+ <code class="literal">-0</code> and <code class="literal">0</code>, which are
+ nevertheless considered equal. This difference must be
+ preserved.
+ </p></li></ul></div><p>
+ </p><p>
+ There is one further implementation-level restriction that may be
+ lifted in a future version of
+ <span class="productname">PostgreSQL</span>:
+ </p><p>
+ </p><div class="itemizedlist"><ul class="itemizedlist" style="list-style-type: disc; "><li class="listitem"><p>
+ Container types (such as composite types, arrays, or range
+ types) cannot use deduplication.
+ </p></li></ul></div><p>
+ </p><p>
+ There is one further implementation-level restriction that applies
+ regardless of the operator class or collation used:
+ </p><p>
+ </p><div class="itemizedlist"><ul class="itemizedlist" style="list-style-type: disc; "><li class="listitem"><p>
+ <code class="literal">INCLUDE</code> indexes can never use deduplication.
+ </p></li></ul></div><p>
+ </p></div></div><div class="navfooter"><hr /><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="btree-support-funcs.html" title="67.3. B-Tree Support Functions">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="btree.html" title="Chapter 67. B-Tree Indexes">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="gist.html" title="Chapter 68. GiST Indexes">Next</a></td></tr><tr><td width="40%" align="left" valign="top">67.3. B-Tree Support Functions </td><td width="20%" align="center"><a accesskey="h" href="index.html" title="PostgreSQL 15.5 Documentation">Home</a></td><td width="40%" align="right" valign="top"> Chapter 68. GiST Indexes</td></tr></table></div></body></html> \ No newline at end of file