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Commit0d861bb

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Add deduplication to nbtree.
Deduplication reduces the storage overhead of duplicates in indexes thatuse the standard nbtree index access method. The deduplication processis applied lazily, after the point where opportunistic deletion ofLP_DEAD-marked index tuples occurs. Deduplication is only applied atthe point where a leaf page split would otherwise be required. Newposting list tuples are formed by merging together existing duplicatetuples. The physical representation of the items on an nbtree leaf pageis made more space efficient by deduplication, but the logical contentsof the page are not changed. Even unique indexes make use ofdeduplication as a way of controlling bloat from duplicates whose TIDspoint to different versions of the same logical table row.The lazy approach taken by nbtree has significant advantages over a GINstyle eager approach. Most individual inserts of index tuples haveexactly the same overhead as before. The extra overhead ofdeduplication is amortized across insertions, just like the overhead ofpage splits. The key space of indexes works in the same way as it hassince commitdd299df (the commit that made heap TID a tiebreakercolumn).Testing has shown that nbtree deduplication can generally make indexeswith about 10 or 15 tuples for each distinct key value about 2.5X - 4Xsmaller, even with single column integer indexes (e.g., an index on areferencing column that accompanies a foreign key). The final size ofsingle column nbtree indexes comes close to the final size of a similarcontrib/btree_gin index, at least in cases where GIN's posting listcompression isn't very effective. This can significantly improvetransaction throughput, and significantly reduce the cost of vacuumingindexes.A new index storage parameter (deduplicate_items) controls the use ofdeduplication. The default setting is 'on', so all new B-Tree indexesautomatically use deduplication where possible. This decision will bereviewed at the end of the Postgres 13 beta period.There is a regression of approximately 2% of transaction throughput withsynthetic workloads that consist of append-only inserts into a tablewith several non-unique indexes, where all indexes have few or norepeated values. The underlying issue is that cycles are wasted onunsuccessful attempts at deduplicating items in non-unique indexes.There doesn't seem to be a way around it short of disablingdeduplication entirely. Note that deduplication of items in uniqueindexes is fairly well targeted in general, which avoids the problemthere (we can use a special heuristic to trigger deduplication passes inunique indexes, since we're specifically targeting "version bloat").Bump XLOG_PAGE_MAGIC because xl_btree_vacuum changed.No bump in BTREE_VERSION, since the representation of posting listtuples works in a way that's backwards compatible with version 4 indexes(i.e. indexes built on PostgreSQL 12). However, users must stillREINDEX a pg_upgrade'd index to use deduplication, regardless of thePostgres version they've upgraded from. This is the only way to set thenew nbtree metapage flag indicating that deduplication is generallysafe.Author: Anastasia Lubennikova, Peter GeogheganReviewed-By: Peter Geoghegan, Heikki LinnakangasDiscussion:https://postgr.es/m/55E4051B.7020209@postgrespro.ruhttps://postgr.es/m/4ab6e2db-bcee-f4cf-0916-3a06e6ccbb55@postgrespro.ru
1 parent612a1ab commit0d861bb

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-332
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‎contrib/amcheck/verify_nbtree.c

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‎doc/src/sgml/btree.sgml

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@@ -557,11 +557,208 @@ equalimage(<replaceable>opcintype</replaceable> <type>oid</type>) returns bool
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<sect1 id="btree-implementation">
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<title>Implementation</title>
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<para>
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This section covers B-Tree index implementation details that may be
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of use to advanced users. See
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<filename>src/backend/access/nbtree/README</filename> in the source
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distribution for a much more detailed, internals-focused description
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of the B-Tree implementation.
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</para>
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<sect2 id="btree-structure">
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<title>B-Tree Structure</title>
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<para>
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<productname>PostgreSQL</productname> B-Tree indexes are
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multi-level tree structures, where each level of the tree can be
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used as a doubly-linked list of pages. A single metapage is stored
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in a fixed position at the start of the first segment file of the
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index. All other pages are either leaf pages or internal pages.
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Leaf pages are the pages on the lowest level of the tree. All
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other levels consist of internal pages. Each leaf page contains
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tuples that point to table rows. Each internal page contains
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tuples that point to the next level down in the tree. Typically,
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over 99% of all pages are leaf pages. Both internal pages and leaf
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pages use the standard page format described in <xref
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linkend="storage-page-layout"/>.
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</para>
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<para>
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New leaf pages are added to a B-Tree index when an existing leaf
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page cannot fit an incoming tuple. A <firstterm>page
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split</firstterm> operation makes room for items that originally
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belonged on the overflowing page by moving a portion of the items
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to a new page. Page splits must also insert a new
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<firstterm>downlink</firstterm> to the new page in the parent page,
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which may cause the parent to split in turn. Page splits
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<quote>cascade upwards</quote> in a recursive fashion. When the
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root page finally cannot fit a new downlink, a <firstterm>root page
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split</firstterm> operation takes place. This adds a new level to
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the tree structure by creating a new root page that is one level
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above the original root page.
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</para>
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</sect2>
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<sect2 id="btree-deduplication">
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<title>Deduplication</title>
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<para>
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A duplicate is a leaf page tuple (a tuple that points to a table
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row) where <emphasis>all</emphasis> indexed key columns have values
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that match corresponding column values from at least one other leaf
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page tuple that's close by in the same index. Duplicate tuples are
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quite common in practice. B-Tree indexes can use a special,
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space-efficient representation for duplicates when an optional
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technique is enabled: <firstterm>deduplication</firstterm>.
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</para>
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<para>
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Deduplication works by periodically merging groups of duplicate
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tuples together, forming a single posting list tuple for each
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group. The column key value(s) only appear once in this
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representation. This is followed by a sorted array of
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<acronym>TID</acronym>s that point to rows in the table. This
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significantly reduces the storage size of indexes where each value
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(or each distinct combination of column values) appears several
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times on average. The latency of queries can be reduced
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significantly. Overall query throughput may increase
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significantly. The overhead of routine index vacuuming may also be
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reduced significantly.
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</para>
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<note>
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<para>
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While NULL is generally not considered to be equal to any other
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value, including NULL, NULL is nevertheless treated as just
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another value from the domain of indexed values by the B-Tree
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implementation (except when enforcing uniqueness in a unique
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index). B-Tree deduplication is therefore just as effective with
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<quote>duplicates</quote> that contain a NULL value.
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</para>
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</note>
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<para>
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The deduplication process occurs lazily, when a new item is
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inserted that cannot fit on an existing leaf page. This prevents
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(or at least delays) leaf page splits. Unlike GIN posting list
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tuples, B-Tree posting list tuples do not need to expand every time
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a new duplicate is inserted; they are merely an alternative
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physical representation of the original logical contents of the
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leaf page. This design prioritizes consistent performance with
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mixed read-write workloads. Most client applications will at least
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see a moderate performance benefit from using deduplication.
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Deduplication is enabled by default.
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</para>
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<para>
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Write-heavy workloads that don't benefit from deduplication due to
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having few or no duplicate values in indexes will incur a small,
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fixed performance penalty (unless deduplication is explicitly
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disabled). The <literal>deduplicate_items</literal> storage
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parameter can be used to disable deduplication within individual
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indexes. There is never any performance penalty with read-only
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workloads, since reading posting list tuples is at least as
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efficient as reading the standard tuple representation. Disabling
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deduplication isn't usually helpful.
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</para>
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<para>
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B-Tree indexes are not directly aware that under MVCC, there might
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be multiple extant versions of the same logical table row; to an
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index, each tuple is an independent object that needs its own index
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entry. Thus, an update of a row always creates all-new index
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entries for the row, even if the key values did not change. Some
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workloads suffer from index bloat caused by these
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implementation-level version duplicates (this is typically a
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problem for <command>UPDATE</command>-heavy workloads that cannot
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apply the <acronym>HOT</acronym> optimization due to modifying at
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least one indexed column). B-Tree deduplication does not
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distinguish between these implementation-level version duplicates
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and conventional duplicates. Deduplication can nevertheless help
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with controlling index bloat caused by implementation-level version
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churn.
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</para>
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<tip>
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<para>
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A special heuristic is applied to determine whether a
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deduplication pass in a unique index should take place. It can
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often skip straight to splitting a leaf page, avoiding a
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performance penalty from wasting cycles on unhelpful deduplication
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passes. If you're concerned about the overhead of deduplication,
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consider setting <literal>deduplicate_items = off</literal>
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selectively. Leaving deduplication enabled in unique indexes has
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little downside.
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</para>
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</tip>
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<para>
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Deduplication cannot be used in all cases due to
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implementation-level restrictions. Deduplication safety is
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determined when <command>CREATE INDEX</command> or
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<command>REINDEX</command> run.
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</para>
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<para>
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Note that deduplication is deemed unsafe and cannot be used in the
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following cases involving semantically significant differences
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among equal datums:
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</para>
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<para>
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<itemizedlist>
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<listitem>
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<para>
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<type>text</type>, <type>varchar</type>, and <type>char</type>
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cannot use deduplication when a
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<emphasis>nondeterministic</emphasis> collation is used. Case
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and accent differences must be preserved among equal datums.
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</para>
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</listitem>
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<listitem>
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<para>
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<type>numeric</type> cannot use deduplication. Numeric display
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scale must be preserved among equal datums.
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</para>
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</listitem>
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<listitem>
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<para>
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<type>jsonb</type> cannot use deduplication, since the
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<type>jsonb</type> B-Tree operator class uses
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<type>numeric</type> internally.
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</para>
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</listitem>
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<listitem>
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<para>
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<type>float4</type> and <type>float8</type> cannot use
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deduplication. These types have distinct representations for
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<literal>-0</literal> and <literal>0</literal>, which are
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nevertheless considered equal. This difference must be
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preserved.
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</para>
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</listitem>
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</itemizedlist>
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</para>
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<para>
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There is one further implementation-level restriction that may be
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lifted in a future version of
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<productname>PostgreSQL</productname>:
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</para>
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<para>
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<itemizedlist>
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<listitem>
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<para>
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Container types (such as composite types, arrays, or range
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types) cannot use deduplication.
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</para>
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</listitem>
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</itemizedlist>
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</para>
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<para>
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There is one further implementation-level restriction that applies
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regardless of the operator class or collation used:
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</para>
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<para>
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An introduction to the btree index implementation can be found in
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<filename>src/backend/access/nbtree/README</filename>.
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<itemizedlist>
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<listitem>
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<para>
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<literal>INCLUDE</literal> indexes can never use deduplication.
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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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</sect1>
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</chapter>

‎doc/src/sgml/charset.sgml

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@@ -928,10 +928,11 @@ CREATE COLLATION ignore_accents (provider = icu, locale = 'und-u-ks-level1-kc-tr
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nondeterministic collations give a more <quote>correct</quote> behavior,
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especially when considering the full power of Unicode and its many
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special cases, they also have some drawbacks. Foremost, their use leads
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to a performance penalty. Also, certain operations are not possible with
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nondeterministic collations, such as pattern matching operations.
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Therefore, they should be used only in cases where they are specifically
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wanted.
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to a performance penalty. Note, in particular, that B-tree cannot use
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deduplication with indexes that use a nondeterministic collation. Also,
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certain operations are not possible with nondeterministic collations,
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such as pattern matching operations. Therefore, they should be used
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only in cases where they are specifically wanted.
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</para>
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</sect3>
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</sect2>

‎doc/src/sgml/citext.sgml

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@@ -233,9 +233,10 @@ SELECT * FROM users WHERE nick = 'Larry';
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<para>
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<type>citext</type> is not as efficient as <type>text</type> because the
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operator functions and the B-tree comparison functions must make copies
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of the data and convert it to lower case for comparisons. It is,
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however, slightly more efficient than using <function>lower</function> to get
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case-insensitive matching.
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of the data and convert it to lower case for comparisons. Also, only
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<type>text</type> can support B-Tree deduplication. However,
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<type>citext</type> is slightly more efficient than using
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<function>lower</function> to get case-insensitive matching.
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</para>
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</listitem>
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‎doc/src/sgml/func.sgml

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rows. Two rows might have a different binary representation even
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though comparisons of the two rows with the equality operator is true.
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The ordering of rows under these comparison operators is deterministic
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but not otherwise meaningful. These operators are used internally for
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materialized views and might be useful for other specialized purposes
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such as replication but are not intended to be generally useful for
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writing queries.
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but not otherwise meaningful. These operators are used internally
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for materialized views and might be useful for other specialized
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purposes such as replication and B-Tree deduplication (see <xref
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linkend="btree-deduplication"/>). They are not intended to be
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generally useful for writing queries, though.
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</para>
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</sect2>
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</sect1>

‎doc/src/sgml/ref/create_index.sgml

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@@ -171,6 +171,8 @@ CREATE [ UNIQUE ] INDEX [ CONCURRENTLY ] [ [ IF NOT EXISTS ] <replaceable class=
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maximum size allowed for the index type, data insertion will fail.
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In any case, non-key columns duplicate data from the index's table
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and bloat the size of the index, thus potentially slowing searches.
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Furthermore, B-tree deduplication is never used with indexes
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that have a non-key column.
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</para>
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<para>
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</variablelist>
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<para>
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B-tree indexesadditionally acceptthis parameter:
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B-tree indexesalso acceptthese parameters:
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</para>
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<variablelist>
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<varlistentry id="index-reloption-deduplication" xreflabel="deduplicate_items">
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<term><literal>deduplicate_items</literal>
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<indexterm>
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<primary><varname>deduplicate_items</varname></primary>
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<secondary>storage parameter</secondary>
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</indexterm>
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</term>
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<listitem>
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<para>
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Controls usage of the B-tree deduplication technique described
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in <xref linkend="btree-deduplication"/>. Set to
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<literal>ON</literal> or <literal>OFF</literal> to enable or
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disable the optimization. (Alternative spellings of
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<literal>ON</literal> and <literal>OFF</literal> are allowed as
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described in <xref linkend="config-setting"/>.) The default is
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<literal>ON</literal>.
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</para>
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<note>
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<para>
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Turning <literal>deduplicate_items</literal> off via
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<command>ALTER INDEX</command> prevents future insertions from
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triggering deduplication, but does not in itself make existing
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posting list tuples use the standard tuple representation.
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</para>
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</note>
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</listitem>
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</varlistentry>
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<varlistentry id="index-reloption-vacuum-cleanup-index-scale-factor" xreflabel="vacuum_cleanup_index_scale_factor">
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<term><literal>vacuum_cleanup_index_scale_factor</literal>
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<indexterm>
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This setting controls usage of the fast update technique described in
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<xref linkend="gin-fast-update"/>. It is a Boolean parameter:
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<literal>ON</literal> enables fast update, <literal>OFF</literal> disables it.
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(Alternative spellings of <literal>ON</literal> and <literal>OFF</literal> are
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allowed as described in <xref linkend="config-setting"/>.) The
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default is <literal>ON</literal>.
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The default is <literal>ON</literal>.
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</para>
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<note>
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</programlisting>
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</para>
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<para>
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To create a B-Tree index with deduplication disabled:
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<programlisting>
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CREATE INDEX title_idx ON films (title) WITH (deduplicate_items = off);
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</programlisting>
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</para>
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<para>
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To create an index on the expression <literal>lower(title)</literal>,
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allowing efficient case-insensitive searches:

‎src/backend/access/common/reloptions.c

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},
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true
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},
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{
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{
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"deduplicate_items",
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"Enables \"deduplicate items\" feature for this btree index",
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RELOPT_KIND_BTREE,
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ShareUpdateExclusiveLock/* since it applies only to later
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* inserts */
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},
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true
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},
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/* list terminator */
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{{NULL}}
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};

‎src/backend/access/index/genam.c

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/*
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* Get the latestRemovedXid from the table entries pointed at by the index
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* tuples being deleted.
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*
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* Note: index access methods that don't consistently use the standard
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* IndexTuple + heap TID item pointer representation will need to provide
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* their own version of this function.
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*/
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TransactionId
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index_compute_xid_horizon_for_tuples(Relationirel,

‎src/backend/access/nbtree/Makefile

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OBJS =\
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nbtcompare.o\
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nbtdedup.o\
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nbtinsert.o\
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nbtpage.o\
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nbtree.o\

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