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+<!-- doc/src/sgml/gin.sgml -->
+
+<chapter id="gin">
+<title>GIN Indexes</title>
+
+ <indexterm>
+ <primary>index</primary>
+ <secondary>GIN</secondary>
+ </indexterm>
+
+<sect1 id="gin-intro">
+ <title>Introduction</title>
+
+ <para>
+ <acronym>GIN</acronym> stands for Generalized Inverted Index.
+ <acronym>GIN</acronym> is designed for handling cases where the items
+ to be indexed are composite values, and the queries to be handled by
+ the index need to search for element values that appear within
+ the composite items. For example, the items could be documents,
+ and the queries could be searches for documents containing specific words.
+ </para>
+
+ <para>
+ We use the word <firstterm>item</firstterm> to refer to a composite value that
+ is to be indexed, and the word <firstterm>key</firstterm> to refer to an element
+ value. <acronym>GIN</acronym> always stores and searches for keys,
+ not item values per se.
+ </para>
+
+ <para>
+ A <acronym>GIN</acronym> index stores a set of (key, posting list) pairs,
+ where a <firstterm>posting list</firstterm> is a set of row IDs in which the key
+ occurs. The same row ID can appear in multiple posting lists, since
+ an item can contain more than one key. Each key value is stored only
+ once, so a <acronym>GIN</acronym> index is very compact for cases
+ where the same key appears many times.
+ </para>
+
+ <para>
+ <acronym>GIN</acronym> is generalized in the sense that the
+ <acronym>GIN</acronym> access method code does not need to know the
+ specific operations that it accelerates.
+ Instead, it uses custom strategies defined for particular data types.
+ The strategy defines how keys are extracted from indexed items and
+ query conditions, and how to determine whether a row that contains
+ some of the key values in a query actually satisfies the query.
+ </para>
+
+ <para>
+ One advantage of <acronym>GIN</acronym> is that it allows the development
+ of custom data types with the appropriate access methods, by
+ an expert in the domain of the data type, rather than a database expert.
+ This is much the same advantage as using <acronym>GiST</acronym>.
+ </para>
+
+ <para>
+ The <acronym>GIN</acronym>
+ implementation in <productname>PostgreSQL</productname> is primarily
+ maintained by Teodor Sigaev and Oleg Bartunov. There is more
+ information about <acronym>GIN</acronym> on their
+ <ulink url="http://www.sai.msu.su/~megera/wiki/Gin">website</ulink>.
+ </para>
+</sect1>
+
+<sect1 id="gin-builtin-opclasses">
+ <title>Built-in Operator Classes</title>
+
+ <para>
+ The core <productname>PostgreSQL</productname> distribution
+ includes the <acronym>GIN</acronym> operator classes shown in
+ <xref linkend="gin-builtin-opclasses-table"/>.
+ (Some of the optional modules described in <xref linkend="contrib"/>
+ provide additional <acronym>GIN</acronym> operator classes.)
+ </para>
+
+ <table id="gin-builtin-opclasses-table">
+ <title>Built-in <acronym>GIN</acronym> Operator Classes</title>
+ <tgroup cols="2">
+ <thead>
+ <row>
+ <entry>Name</entry>
+ <entry>Indexable Operators</entry>
+ </row>
+ </thead>
+ <tbody>
+ <row>
+ <entry morerows="3" valign="middle"><literal>array_ops</literal></entry>
+ <entry><literal>&amp;&amp; (anyarray,anyarray)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>@&gt; (anyarray,anyarray)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>&lt;@ (anyarray,anyarray)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>= (anyarray,anyarray)</literal></entry>
+ </row>
+ <row>
+ <entry morerows="5" valign="middle"><literal>jsonb_ops</literal></entry>
+ <entry><literal>@&gt; (jsonb,jsonb)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>@? (jsonb,jsonpath)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>@@ (jsonb,jsonpath)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>? (jsonb,text)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>?| (jsonb,text[])</literal></entry>
+ </row>
+ <row>
+ <entry><literal>?&amp; (jsonb,text[])</literal></entry>
+ </row>
+ <row>
+ <entry morerows="2" valign="middle"><literal>jsonb_path_ops</literal></entry>
+ <entry><literal>@&gt; (jsonb,jsonb)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>@? (jsonb,jsonpath)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>@@ (jsonb,jsonpath)</literal></entry>
+ </row>
+ <row>
+ <entry morerows="1" valign="middle"><literal>tsvector_ops</literal></entry>
+ <entry><literal>@@ (tsvector,tsquery)</literal></entry>
+ </row>
+ <row>
+ <entry><literal>@@@ (tsvector,tsquery)</literal></entry>
+ </row>
+ </tbody>
+ </tgroup>
+ </table>
+
+ <para>
+ Of the two operator classes for type <type>jsonb</type>, <literal>jsonb_ops</literal>
+ is the default. <literal>jsonb_path_ops</literal> supports fewer operators but
+ offers better performance for those operators.
+ See <xref linkend="json-indexing"/> for details.
+ </para>
+
+</sect1>
+
+<sect1 id="gin-extensibility">
+ <title>Extensibility</title>
+
+ <para>
+ The <acronym>GIN</acronym> interface has a high level of abstraction,
+ requiring the access method implementer only to implement the semantics of
+ the data type being accessed. The <acronym>GIN</acronym> layer itself
+ takes care of concurrency, logging and searching the tree structure.
+ </para>
+
+ <para>
+ All it takes to get a <acronym>GIN</acronym> access method working is to
+ implement a few user-defined methods, which define the behavior of
+ keys in the tree and the relationships between keys, indexed items,
+ and indexable queries. In short, <acronym>GIN</acronym> combines
+ extensibility with generality, code reuse, and a clean interface.
+ </para>
+
+ <para>
+ There are two methods that an operator class for
+ <acronym>GIN</acronym> must provide:
+
+ <variablelist>
+ <varlistentry>
+ <term><function>Datum *extractValue(Datum itemValue, int32 *nkeys,
+ bool **nullFlags)</function></term>
+ <listitem>
+ <para>
+ Returns a palloc'd array of keys given an item to be indexed. The
+ number of returned keys must be stored into <literal>*nkeys</literal>.
+ If any of the keys can be null, also palloc an array of
+ <literal>*nkeys</literal> <type>bool</type> fields, store its address at
+ <literal>*nullFlags</literal>, and set these null flags as needed.
+ <literal>*nullFlags</literal> can be left <symbol>NULL</symbol> (its initial value)
+ if all keys are non-null.
+ The return value can be <symbol>NULL</symbol> if the item contains no keys.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><function>Datum *extractQuery(Datum query, int32 *nkeys,
+ StrategyNumber n, bool **pmatch, Pointer **extra_data,
+ bool **nullFlags, int32 *searchMode)</function></term>
+ <listitem>
+ <para>
+ Returns a palloc'd array of keys given a value to be queried; that is,
+ <literal>query</literal> is the value on the right-hand side of an
+ indexable operator whose left-hand side is the indexed column.
+ <literal>n</literal> is the strategy number of the operator within the
+ operator class (see <xref linkend="xindex-strategies"/>).
+ Often, <function>extractQuery</function> will need
+ to consult <literal>n</literal> to determine the data type of
+ <literal>query</literal> and the method it should use to extract key values.
+ The number of returned keys must be stored into <literal>*nkeys</literal>.
+ If any of the keys can be null, also palloc an array of
+ <literal>*nkeys</literal> <type>bool</type> fields, store its address at
+ <literal>*nullFlags</literal>, and set these null flags as needed.
+ <literal>*nullFlags</literal> can be left <symbol>NULL</symbol> (its initial value)
+ if all keys are non-null.
+ The return value can be <symbol>NULL</symbol> if the <literal>query</literal> contains no keys.
+ </para>
+
+ <para>
+ <literal>searchMode</literal> is an output argument that allows
+ <function>extractQuery</function> to specify details about how the search
+ will be done.
+ If <literal>*searchMode</literal> is set to
+ <literal>GIN_SEARCH_MODE_DEFAULT</literal> (which is the value it is
+ initialized to before call), only items that match at least one of
+ the returned keys are considered candidate matches.
+ If <literal>*searchMode</literal> is set to
+ <literal>GIN_SEARCH_MODE_INCLUDE_EMPTY</literal>, then in addition to items
+ containing at least one matching key, items that contain no keys at
+ all are considered candidate matches. (This mode is useful for
+ implementing is-subset-of operators, for example.)
+ If <literal>*searchMode</literal> is set to <literal>GIN_SEARCH_MODE_ALL</literal>,
+ then all non-null items in the index are considered candidate
+ matches, whether they match any of the returned keys or not. (This
+ mode is much slower than the other two choices, since it requires
+ scanning essentially the entire index, but it may be necessary to
+ implement corner cases correctly. An operator that needs this mode
+ in most cases is probably not a good candidate for a GIN operator
+ class.)
+ The symbols to use for setting this mode are defined in
+ <filename>access/gin.h</filename>.
+ </para>
+
+ <para>
+ <literal>pmatch</literal> is an output argument for use when partial match
+ is supported. To use it, <function>extractQuery</function> must allocate
+ an array of <literal>*nkeys</literal> <type>bool</type>s and store its address at
+ <literal>*pmatch</literal>. Each element of the array should be set to true
+ if the corresponding key requires partial match, false if not.
+ If <literal>*pmatch</literal> is set to <symbol>NULL</symbol> then GIN assumes partial match
+ is not required. The variable is initialized to <symbol>NULL</symbol> before call,
+ so this argument can simply be ignored by operator classes that do
+ not support partial match.
+ </para>
+
+ <para>
+ <literal>extra_data</literal> is an output argument that allows
+ <function>extractQuery</function> to pass additional data to the
+ <function>consistent</function> and <function>comparePartial</function> methods.
+ To use it, <function>extractQuery</function> must allocate
+ an array of <literal>*nkeys</literal> pointers and store its address at
+ <literal>*extra_data</literal>, then store whatever it wants to into the
+ individual pointers. The variable is initialized to <symbol>NULL</symbol> before
+ call, so this argument can simply be ignored by operator classes that
+ do not require extra data. If <literal>*extra_data</literal> is set, the
+ whole array is passed to the <function>consistent</function> method, and
+ the appropriate element to the <function>comparePartial</function> method.
+ </para>
+
+ </listitem>
+ </varlistentry>
+ </variablelist>
+
+ An operator class must also provide a function to check if an indexed item
+ matches the query. It comes in two flavors, a Boolean <function>consistent</function>
+ function, and a ternary <function>triConsistent</function> function.
+ <function>triConsistent</function> covers the functionality of both, so providing
+ <function>triConsistent</function> alone is sufficient. However, if the Boolean
+ variant is significantly cheaper to calculate, it can be advantageous to
+ provide both. If only the Boolean variant is provided, some optimizations
+ that depend on refuting index items before fetching all the keys are
+ disabled.
+
+ <variablelist>
+ <varlistentry>
+ <term><function>bool consistent(bool check[], StrategyNumber n, Datum query,
+ int32 nkeys, Pointer extra_data[], bool *recheck,
+ Datum queryKeys[], bool nullFlags[])</function></term>
+ <listitem>
+ <para>
+ Returns true if an indexed item satisfies the query operator with
+ strategy number <literal>n</literal> (or might satisfy it, if the recheck
+ indication is returned). This function does not have direct access
+ to the indexed item's value, since <acronym>GIN</acronym> does not
+ store items explicitly. Rather, what is available is knowledge
+ about which key values extracted from the query appear in a given
+ indexed item. The <literal>check</literal> array has length
+ <literal>nkeys</literal>, which is the same as the number of keys previously
+ returned by <function>extractQuery</function> for this <literal>query</literal> datum.
+ Each element of the
+ <literal>check</literal> array is true if the indexed item contains the
+ corresponding query key, i.e., if (check[i] == true) the i-th key of the
+ <function>extractQuery</function> result array is present in the indexed item.
+ The original <literal>query</literal> datum is
+ passed in case the <function>consistent</function> method needs to consult it,
+ and so are the <literal>queryKeys[]</literal> and <literal>nullFlags[]</literal>
+ arrays previously returned by <function>extractQuery</function>.
+ <literal>extra_data</literal> is the extra-data array returned by
+ <function>extractQuery</function>, or <symbol>NULL</symbol> if none.
+ </para>
+
+ <para>
+ When <function>extractQuery</function> returns a null key in
+ <literal>queryKeys[]</literal>, the corresponding <literal>check[]</literal> element
+ is true if the indexed item contains a null key; that is, the
+ semantics of <literal>check[]</literal> are like <literal>IS NOT DISTINCT
+ FROM</literal>. The <function>consistent</function> function can examine the
+ corresponding <literal>nullFlags[]</literal> element if it needs to tell
+ the difference between a regular value match and a null match.
+ </para>
+
+ <para>
+ On success, <literal>*recheck</literal> should be set to true if the heap
+ tuple needs to be rechecked against the query operator, or false if
+ the index test is exact. That is, a false return value guarantees
+ that the heap tuple does not match the query; a true return value with
+ <literal>*recheck</literal> set to false guarantees that the heap tuple does
+ match the query; and a true return value with
+ <literal>*recheck</literal> set to true means that the heap tuple might match
+ the query, so it needs to be fetched and rechecked by evaluating the
+ query operator directly against the originally indexed item.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><function>GinTernaryValue triConsistent(GinTernaryValue check[], StrategyNumber n, Datum query,
+ int32 nkeys, Pointer extra_data[],
+ Datum queryKeys[], bool nullFlags[])</function></term>
+ <listitem>
+ <para>
+ <function>triConsistent</function> is similar to <function>consistent</function>,
+ but instead of Booleans in the <literal>check</literal> vector, there are
+ three possible values for each
+ key: <literal>GIN_TRUE</literal>, <literal>GIN_FALSE</literal> and
+ <literal>GIN_MAYBE</literal>. <literal>GIN_FALSE</literal> and <literal>GIN_TRUE</literal>
+ have the same meaning as regular Boolean values, while
+ <literal>GIN_MAYBE</literal> means that the presence of that key is not known.
+ When <literal>GIN_MAYBE</literal> values are present, the function should only
+ return <literal>GIN_TRUE</literal> if the item certainly matches whether or
+ not the index item contains the corresponding query keys. Likewise, the
+ function must return <literal>GIN_FALSE</literal> only if the item certainly
+ does not match, whether or not it contains the <literal>GIN_MAYBE</literal>
+ keys. If the result depends on the <literal>GIN_MAYBE</literal> entries, i.e.,
+ the match cannot be confirmed or refuted based on the known query keys,
+ the function must return <literal>GIN_MAYBE</literal>.
+ </para>
+ <para>
+ When there are no <literal>GIN_MAYBE</literal> values in the <literal>check</literal>
+ vector, a <literal>GIN_MAYBE</literal> return value is the equivalent of
+ setting the <literal>recheck</literal> flag in the
+ Boolean <function>consistent</function> function.
+ </para>
+ </listitem>
+ </varlistentry>
+ </variablelist>
+ </para>
+
+ <para>
+ In addition, GIN must have a way to sort the key values stored in the index.
+ The operator class can define the sort ordering by specifying a comparison
+ method:
+
+ <variablelist>
+ <varlistentry>
+ <term><function>int compare(Datum a, Datum b)</function></term>
+ <listitem>
+ <para>
+ Compares two keys (not indexed items!) and returns 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. Null keys are never
+ passed to this function.
+ </para>
+ </listitem>
+ </varlistentry>
+ </variablelist>
+
+ Alternatively, if the operator class does not provide a <function>compare</function>
+ method, GIN will look up the default btree operator class for the index
+ key data type, and use its comparison function. It is recommended to
+ specify the comparison function in a GIN operator class that is meant for
+ just one data type, as looking up the btree operator class costs a few
+ cycles. However, polymorphic GIN operator classes (such
+ as <literal>array_ops</literal>) typically cannot specify a single comparison
+ function.
+ </para>
+
+ <para>
+ An operator class for <acronym>GIN</acronym> can optionally supply the
+ following methods:
+
+ <variablelist>
+ <varlistentry>
+ <term><function>int comparePartial(Datum partial_key, Datum key, StrategyNumber n,
+ Pointer extra_data)</function></term>
+ <listitem>
+ <para>
+ Compare a partial-match query key to an index key. Returns an integer
+ whose sign indicates the result: less than zero means the index key
+ does not match the query, but the index scan should continue; zero
+ means that the index key does match the query; greater than zero
+ indicates that the index scan should stop because no more matches
+ are possible. The strategy number <literal>n</literal> of the operator
+ that generated the partial match query is provided, in case its
+ semantics are needed to determine when to end the scan. Also,
+ <literal>extra_data</literal> is the corresponding element of the extra-data
+ array made by <function>extractQuery</function>, or <symbol>NULL</symbol> if none.
+ Null keys are never passed to this function.
+ </para>
+ </listitem>
+ </varlistentry>
+ <varlistentry>
+ <term><function>void options(local_relopts *relopts)</function></term>
+ <listitem>
+ <para>
+ Defines a set of user-visible parameters that control operator class
+ behavior.
+ </para>
+
+ <para>
+ The <function>options</function> function is passed a pointer to a
+ <structname>local_relopts</structname> struct, which needs to be
+ filled with a set of operator class specific options. The options
+ can be accessed from other support functions using the
+ <literal>PG_HAS_OPCLASS_OPTIONS()</literal> and
+ <literal>PG_GET_OPCLASS_OPTIONS()</literal> macros.
+ </para>
+
+ <para>
+ Since both key extraction of indexed values and representation of the
+ key in <acronym>GIN</acronym> are flexible, they may depend on
+ user-specified parameters.
+ </para>
+ </listitem>
+ </varlistentry>
+ </variablelist>
+ </para>
+
+ <para>
+ To support <quote>partial match</quote> queries, an operator class must
+ provide the <function>comparePartial</function> method, and its
+ <function>extractQuery</function> method must set the <literal>pmatch</literal>
+ parameter when a partial-match query is encountered. See
+ <xref linkend="gin-partial-match"/> for details.
+ </para>
+
+ <para>
+ The actual data types of the various <literal>Datum</literal> values mentioned
+ above vary depending on the operator class. The item values passed to
+ <function>extractValue</function> are always of the operator class's input type, and
+ all key values must be of the class's <literal>STORAGE</literal> type. The type of
+ the <literal>query</literal> argument passed to <function>extractQuery</function>,
+ <function>consistent</function> and <function>triConsistent</function> is whatever is the
+ right-hand input type of the class member operator identified by the
+ strategy number. This need not be the same as the indexed type, so long as
+ key values of the correct type can be extracted from it. However, it is
+ recommended that the SQL declarations of these three support functions use
+ the opclass's indexed data type for the <literal>query</literal> argument, even
+ though the actual type might be something else depending on the operator.
+ </para>
+
+</sect1>
+
+<sect1 id="gin-implementation">
+ <title>Implementation</title>
+
+ <para>
+ Internally, a <acronym>GIN</acronym> index contains a B-tree index
+ constructed over keys, where each key is an element of one or more indexed
+ items (a member of an array, for example) and where each tuple in a leaf
+ page contains either a pointer to a B-tree of heap pointers (a
+ <quote>posting tree</quote>), or a simple list of heap pointers (a <quote>posting
+ list</quote>) when the list is small enough to fit into a single index tuple along
+ with the key value. <xref linkend="gin-internals-figure"/> illustrates
+ these components of a GIN index.
+ </para>
+
+ <para>
+ As of <productname>PostgreSQL</productname> 9.1, null key values can be
+ included in the index. Also, placeholder nulls are included in the index
+ for indexed items that are null or contain no keys according to
+ <function>extractValue</function>. This allows searches that should find empty
+ items to do so.
+ </para>
+
+ <para>
+ Multicolumn <acronym>GIN</acronym> indexes are implemented by building
+ a single B-tree over composite values (column number, key value). The
+ key values for different columns can be of different types.
+ </para>
+
+ <figure id="gin-internals-figure">
+ <title>GIN Internals</title>
+ <mediaobject>
+ <imageobject>
+ <imagedata fileref="images/gin.svg" format="SVG" width="100%"/>
+ </imageobject>
+ </mediaobject>
+ </figure>
+
+ <sect2 id="gin-fast-update">
+ <title>GIN Fast Update Technique</title>
+
+ <para>
+ Updating a <acronym>GIN</acronym> index tends to be slow because of the
+ intrinsic nature of inverted indexes: inserting or updating one heap row
+ can cause many inserts into the index (one for each key extracted
+ from the indexed item).
+ <acronym>GIN</acronym> is capable of postponing much of this work by inserting
+ new tuples into a temporary, unsorted list of pending entries.
+ When the table is vacuumed or autoanalyzed, or when
+ <function>gin_clean_pending_list</function> function is called, or if the
+ pending list becomes larger than
+ <xref linkend="guc-gin-pending-list-limit"/>, the entries are moved to the
+ main <acronym>GIN</acronym> data structure using the same bulk insert
+ techniques used during initial index creation. This greatly improves
+ <acronym>GIN</acronym> index update speed, even counting the additional
+ vacuum overhead. Moreover the overhead work can be done by a background
+ process instead of in foreground query processing.
+ </para>
+
+ <para>
+ The main disadvantage of this approach is that searches must scan the list
+ of pending entries in addition to searching the regular index, and so
+ a large list of pending entries will slow searches significantly.
+ Another disadvantage is that, while most updates are fast, an update
+ that causes the pending list to become <quote>too large</quote> will incur an
+ immediate cleanup cycle and thus be much slower than other updates.
+ Proper use of autovacuum can minimize both of these problems.
+ </para>
+
+ <para>
+ If consistent response time is more important than update speed,
+ use of pending entries can be disabled by turning off the
+ <literal>fastupdate</literal> storage parameter for a
+ <acronym>GIN</acronym> index. See <xref linkend="sql-createindex"/>
+ for details.
+ </para>
+ </sect2>
+
+ <sect2 id="gin-partial-match">
+ <title>Partial Match Algorithm</title>
+
+ <para>
+ GIN can support <quote>partial match</quote> queries, in which the query
+ does not determine an exact match for one or more keys, but the possible
+ matches fall within a reasonably narrow range of key values (within the
+ key sorting order determined by the <function>compare</function> support method).
+ The <function>extractQuery</function> method, instead of returning a key value
+ to be matched exactly, returns a key value that is the lower bound of
+ the range to be searched, and sets the <literal>pmatch</literal> flag true.
+ The key range is then scanned using the <function>comparePartial</function>
+ method. <function>comparePartial</function> must return zero for a matching
+ index key, less than zero for a non-match that is still within the range
+ to be searched, or greater than zero if the index key is past the range
+ that could match.
+ </para>
+ </sect2>
+
+</sect1>
+
+<sect1 id="gin-tips">
+<title>GIN Tips and Tricks</title>
+
+ <variablelist>
+ <varlistentry>
+ <term>Create vs. insert</term>
+ <listitem>
+ <para>
+ Insertion into a <acronym>GIN</acronym> index can be slow
+ due to the likelihood of many keys being inserted for each item.
+ So, for bulk insertions into a table it is advisable to drop the GIN
+ index and recreate it after finishing bulk insertion.
+ </para>
+
+ <para>
+ When <literal>fastupdate</literal> is enabled for <acronym>GIN</acronym>
+ (see <xref linkend="gin-fast-update"/> for details), the penalty is
+ less than when it is not. But for very large updates it may still be
+ best to drop and recreate the index.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><xref linkend="guc-maintenance-work-mem"/></term>
+ <listitem>
+ <para>
+ Build time for a <acronym>GIN</acronym> index is very sensitive to
+ the <varname>maintenance_work_mem</varname> setting; it doesn't pay to
+ skimp on work memory during index creation.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><xref linkend="guc-gin-pending-list-limit"/></term>
+ <listitem>
+ <para>
+ During a series of insertions into an existing <acronym>GIN</acronym>
+ index that has <literal>fastupdate</literal> enabled, the system will clean up
+ the pending-entry list whenever the list grows larger than
+ <varname>gin_pending_list_limit</varname>. To avoid fluctuations in observed
+ response time, it's desirable to have pending-list cleanup occur in the
+ background (i.e., via autovacuum). Foreground cleanup operations
+ can be avoided by increasing <varname>gin_pending_list_limit</varname>
+ or making autovacuum more aggressive.
+ However, enlarging the threshold of the cleanup operation means that
+ if a foreground cleanup does occur, it will take even longer.
+ </para>
+ <para>
+ <varname>gin_pending_list_limit</varname> can be overridden for individual
+ GIN indexes by changing storage parameters, which allows each
+ GIN index to have its own cleanup threshold.
+ For example, it's possible to increase the threshold only for the GIN
+ index which can be updated heavily, and decrease it otherwise.
+ </para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><xref linkend="guc-gin-fuzzy-search-limit"/></term>
+ <listitem>
+ <para>
+ The primary goal of developing <acronym>GIN</acronym> indexes was
+ to create support for highly scalable full-text search in
+ <productname>PostgreSQL</productname>, and there are often situations when
+ a full-text search returns a very large set of results. Moreover, this
+ often happens when the query contains very frequent words, so that the
+ large result set is not even useful. Since reading many
+ tuples from the disk and sorting them could take a lot of time, this is
+ unacceptable for production. (Note that the index search itself is very
+ fast.)
+ </para>
+ <para>
+ To facilitate controlled execution of such queries,
+ <acronym>GIN</acronym> has a configurable soft upper limit on the
+ number of rows returned: the
+ <varname>gin_fuzzy_search_limit</varname> configuration parameter.
+ It is set to 0 (meaning no limit) by default.
+ If a non-zero limit is set, then the returned set is a subset of
+ the whole result set, chosen at random.
+ </para>
+ <para>
+ <quote>Soft</quote> means that the actual number of returned results
+ could differ somewhat from the specified limit, depending on the query
+ and the quality of the system's random number generator.
+ </para>
+ <para>
+ From experience, values in the thousands (e.g., 5000 &mdash; 20000)
+ work well.
+ </para>
+ </listitem>
+ </varlistentry>
+ </variablelist>
+
+</sect1>
+
+<sect1 id="gin-limit">
+ <title>Limitations</title>
+
+ <para>
+ <acronym>GIN</acronym> assumes that indexable operators are strict. This
+ means that <function>extractValue</function> will not be called at all on a null
+ item value (instead, a placeholder index entry is created automatically),
+ and <function>extractQuery</function> will not be called on a null query
+ value either (instead, the query is presumed to be unsatisfiable). Note
+ however that null key values contained within a non-null composite item
+ or query value are supported.
+ </para>
+</sect1>
+
+<sect1 id="gin-examples">
+ <title>Examples</title>
+
+ <para>
+ The core <productname>PostgreSQL</productname> distribution
+ includes the <acronym>GIN</acronym> operator classes previously shown in
+ <xref linkend="gin-builtin-opclasses-table"/>.
+ The following <filename>contrib</filename> modules also contain
+ <acronym>GIN</acronym> operator classes:
+
+ <variablelist>
+ <varlistentry>
+ <term><filename>btree_gin</filename></term>
+ <listitem>
+ <para>B-tree equivalent functionality for several data types</para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><filename>hstore</filename></term>
+ <listitem>
+ <para>Module for storing (key, value) pairs</para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><filename>intarray</filename></term>
+ <listitem>
+ <para>Enhanced support for <type>int[]</type></para>
+ </listitem>
+ </varlistentry>
+
+ <varlistentry>
+ <term><filename>pg_trgm</filename></term>
+ <listitem>
+ <para>Text similarity using trigram matching</para>
+ </listitem>
+ </varlistentry>
+ </variablelist>
+ </para>
+</sect1>
+
+</chapter>