diff --git a/doc/src/sgml/func.sgml b/doc/src/sgml/func.sgml
index 9b0778baa9978eb20b2d5fbe638871a756e7464d..396eaa5d550035163a98d776c043d4b6d278a449 100644
--- a/doc/src/sgml/func.sgml
+++ b/doc/src/sgml/func.sgml
@@ -12678,12 +12678,13 @@ NULL baz</literallayout>(3 rows)</entry>
<table id="functions-aggregate-table">
<title>General-Purpose Aggregate Functions</title>
- <tgroup cols="4">
+ <tgroup cols="5">
<thead>
<row>
<entry>Function</entry>
<entry>Argument Type(s)</entry>
<entry>Return Type</entry>
+ <entry>Partial Mode</entry>
<entry>Description</entry>
</row>
</thead>
@@ -12702,6 +12703,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
array of the argument type
</entry>
+ <entry>No</entry>
<entry>input values, including nulls, concatenated into an array</entry>
</row>
@@ -12715,6 +12717,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
same as argument data type
</entry>
+ <entry>No</entry>
<entry>input arrays concatenated into array of one higher dimension
(inputs must all have same dimensionality,
and cannot be empty or NULL)</entry>
@@ -12740,6 +12743,7 @@ NULL baz</literallayout>(3 rows)</entry>
<type>double precision</type> for a floating-point argument,
otherwise the same as the argument data type
</entry>
+ <entry>All types apart from floating-point types</entry>
<entry>the average (arithmetic mean) of all input values</entry>
</row>
@@ -12757,6 +12761,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
same as argument data type
</entry>
+ <entry>Yes</entry>
<entry>the bitwise AND of all non-null input values, or null if none</entry>
</row>
@@ -12774,6 +12779,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
same as argument data type
</entry>
+ <entry>Yes</entry>
<entry>the bitwise OR of all non-null input values, or null if none</entry>
</row>
@@ -12790,6 +12796,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
<type>bool</type>
</entry>
+ <entry>Yes</entry>
<entry>true if all input values are true, otherwise false</entry>
</row>
@@ -12806,6 +12813,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
<type>bool</type>
</entry>
+ <entry>Yes</entry>
<entry>true if at least one input value is true, otherwise false</entry>
</row>
@@ -12818,6 +12826,7 @@ NULL baz</literallayout>(3 rows)</entry>
</entry>
<entry></entry>
<entry><type>bigint</type></entry>
+ <entry>Yes</entry>
<entry>number of input rows</entry>
</row>
@@ -12825,6 +12834,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry><function>count(<replaceable class="parameter">expression</replaceable>)</function></entry>
<entry>any</entry>
<entry><type>bigint</type></entry>
+ <entry>Yes</entry>
<entry>
number of input rows for which the value of <replaceable
class="parameter">expression</replaceable> is not null
@@ -12844,6 +12854,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
<type>bool</type>
</entry>
+ <entry>Yes</entry>
<entry>equivalent to <function>bool_and</function></entry>
</row>
@@ -12860,6 +12871,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
<type>json</type>
</entry>
+ <entry>No</entry>
<entry>aggregates values as a JSON array</entry>
</row>
@@ -12876,6 +12888,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
<type>jsonb</type>
</entry>
+ <entry>No</entry>
<entry>aggregates values as a JSON array</entry>
</row>
@@ -12892,6 +12905,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
<type>json</type>
</entry>
+ <entry>No</entry>
<entry>aggregates name/value pairs as a JSON object</entry>
</row>
@@ -12908,6 +12922,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
<type>jsonb</type>
</entry>
+ <entry>No</entry>
<entry>aggregates name/value pairs as a JSON object</entry>
</row>
@@ -12921,6 +12936,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>any numeric, string, date/time, network, or enum type,
or arrays of these types</entry>
<entry>same as argument type</entry>
+ <entry>Yes</entry>
<entry>
maximum value of <replaceable
class="parameter">expression</replaceable> across all input
@@ -12938,6 +12954,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>any numeric, string, date/time, network, or enum type,
or arrays of these types</entry>
<entry>same as argument type</entry>
+ <entry>Yes</entry>
<entry>
minimum value of <replaceable
class="parameter">expression</replaceable> across all input
@@ -12961,6 +12978,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
same as argument types
</entry>
+ <entry>No</entry>
<entry>input values concatenated into a string, separated by delimiter</entry>
</row>
@@ -12983,6 +13001,7 @@ NULL baz</literallayout>(3 rows)</entry>
<type>bigint</type> arguments, otherwise the same as the
argument data type
</entry>
+ <entry>All types apart from floating-point types</entry>
<entry>sum of <replaceable class="parameter">expression</replaceable> across all input values</entry>
</row>
@@ -12999,6 +13018,7 @@ NULL baz</literallayout>(3 rows)</entry>
<entry>
<type>xml</type>
</entry>
+ <entry>No</entry>
<entry>concatenation of XML values (see also <xref linkend="functions-xml-xmlagg">)</entry>
</row>
</tbody>
@@ -13015,6 +13035,12 @@ NULL baz</literallayout>(3 rows)</entry>
substitute zero or an empty array for null when necessary.
</para>
+ <para>
+ Aggregate functions which support <firstterm>Partial Mode</firstterm>
+ are eligible to participate in various optimizations, such as parallel
+ aggregation.
+ </para>
+
<note>
<indexterm>
<primary>ANY</primary>
@@ -13098,12 +13124,13 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<table id="functions-aggregate-statistics-table">
<title>Aggregate Functions for Statistics</title>
- <tgroup cols="4">
+ <tgroup cols="5">
<thead>
<row>
<entry>Function</entry>
<entry>Argument Type</entry>
<entry>Return Type</entry>
+ <entry>Partial Mode</entry>
<entry>Description</entry>
</row>
</thead>
@@ -13126,6 +13153,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>correlation coefficient</entry>
</row>
@@ -13146,6 +13174,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>population covariance</entry>
</row>
@@ -13166,6 +13195,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>sample covariance</entry>
</row>
@@ -13182,6 +13212,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>average of the independent variable
(<literal>sum(<replaceable class="parameter">X</replaceable>)/<replaceable class="parameter">N</replaceable></literal>)</entry>
</row>
@@ -13199,6 +13230,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>average of the dependent variable
(<literal>sum(<replaceable class="parameter">Y</replaceable>)/<replaceable class="parameter">N</replaceable></literal>)</entry>
</row>
@@ -13216,6 +13248,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>bigint</type>
</entry>
+ <entry>No</entry>
<entry>number of input rows in which both expressions are nonnull</entry>
</row>
@@ -13235,6 +13268,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>y-intercept of the least-squares-fit linear equation
determined by the (<replaceable
class="parameter">X</replaceable>, <replaceable
@@ -13254,6 +13288,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>square of the correlation coefficient</entry>
</row>
@@ -13273,6 +13308,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>slope of the least-squares-fit linear equation determined
by the (<replaceable class="parameter">X</replaceable>,
<replaceable class="parameter">Y</replaceable>) pairs</entry>
@@ -13291,6 +13327,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry><literal>sum(<replaceable
class="parameter">X</replaceable>^2) - sum(<replaceable
class="parameter">X</replaceable>)^2/<replaceable
@@ -13311,6 +13348,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry><literal>sum(<replaceable
class="parameter">X</replaceable>*<replaceable
class="parameter">Y</replaceable>) - sum(<replaceable
@@ -13334,6 +13372,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry><literal>sum(<replaceable
class="parameter">Y</replaceable>^2) - sum(<replaceable
class="parameter">Y</replaceable>)^2/<replaceable
@@ -13360,6 +13399,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<type>double precision</type> for floating-point arguments,
otherwise <type>numeric</type>
</entry>
+ <entry>All types apart from floating-point types</entry>
<entry>historical alias for <function>stddev_samp</function></entry>
</row>
@@ -13383,6 +13423,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<type>double precision</type> for floating-point arguments,
otherwise <type>numeric</type>
</entry>
+ <entry>All types apart from floating-point types</entry>
<entry>population standard deviation of the input values</entry>
</row>
@@ -13406,6 +13447,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<type>double precision</type> for floating-point arguments,
otherwise <type>numeric</type>
</entry>
+ <entry>All types apart from floating-point types</entry>
<entry>sample standard deviation of the input values</entry>
</row>
@@ -13425,6 +13467,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<type>double precision</type> for floating-point arguments,
otherwise <type>numeric</type>
</entry>
+ <entry>All types apart from floating-point types</entry>
<entry>historical alias for <function>var_samp</function></entry>
</row>
@@ -13448,6 +13491,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<type>double precision</type> for floating-point arguments,
otherwise <type>numeric</type>
</entry>
+ <entry>All types apart from floating-point types</entry>
<entry>population variance of the input values (square of the population standard deviation)</entry>
</row>
@@ -13471,6 +13515,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<type>double precision</type> for floating-point arguments,
otherwise <type>numeric</type>
</entry>
+ <entry>All types apart from floating-point types</entry>
<entry>sample variance of the input values (square of the sample standard deviation)</entry>
</row>
</tbody>
@@ -13495,13 +13540,14 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<table id="functions-orderedset-table">
<title>Ordered-Set Aggregate Functions</title>
- <tgroup cols="5">
+ <tgroup cols="6">
<thead>
<row>
<entry>Function</entry>
<entry>Direct Argument Type(s)</entry>
<entry>Aggregated Argument Type(s)</entry>
<entry>Return Type</entry>
+ <entry>Partial Mode</entry>
<entry>Description</entry>
</row>
</thead>
@@ -13524,6 +13570,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
same as sort expression
</entry>
+ <entry>No</entry>
<entry>
returns the most frequent input value (arbitrarily choosing the first
one if there are multiple equally-frequent results)
@@ -13550,6 +13597,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
same as sort expression
</entry>
+ <entry>No</entry>
<entry>
continuous percentile: returns a value corresponding to the specified
fraction in the ordering, interpolating between adjacent input items if
@@ -13570,6 +13618,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
array of sort expression's type
</entry>
+ <entry>No</entry>
<entry>
multiple continuous percentile: returns an array of results matching
the shape of the <literal>fractions</literal> parameter, with each
@@ -13594,6 +13643,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
same as sort expression
</entry>
+ <entry>No</entry>
<entry>
discrete percentile: returns the first input value whose position in
the ordering equals or exceeds the specified fraction
@@ -13613,6 +13663,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
array of sort expression's type
</entry>
+ <entry>No</entry>
<entry>
multiple discrete percentile: returns an array of results matching the
shape of the <literal>fractions</literal> parameter, with each non-null
@@ -13651,13 +13702,14 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<table id="functions-hypothetical-table">
<title>Hypothetical-Set Aggregate Functions</title>
- <tgroup cols="5">
+ <tgroup cols="6">
<thead>
<row>
<entry>Function</entry>
<entry>Direct Argument Type(s)</entry>
<entry>Aggregated Argument Type(s)</entry>
<entry>Return Type</entry>
+ <entry>Partial Mode</entry>
<entry>Description</entry>
</row>
</thead>
@@ -13681,6 +13733,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>bigint</type>
</entry>
+ <entry>No</entry>
<entry>
rank of the hypothetical row, with gaps for duplicate rows
</entry>
@@ -13703,6 +13756,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>bigint</type>
</entry>
+ <entry>No</entry>
<entry>
rank of the hypothetical row, without gaps
</entry>
@@ -13725,6 +13779,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>
relative rank of the hypothetical row, ranging from 0 to 1
</entry>
@@ -13747,6 +13802,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
<entry>
<type>double precision</type>
</entry>
+ <entry>No</entry>
<entry>
relative rank of the hypothetical row, ranging from
1/<replaceable>N</> to 1