Document which aggregates support partial mode.
David Rowley, reviewed by Tomas Vondra
This commit is contained in:
Robert Haas
parent
5c3c3cd0a3
commit
752b948dfc
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@ -12678,12 +12678,13 @@ NULL baz</literallayout>(3 rows)</entry>
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<table id="functions-aggregate-table">
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<title>General-Purpose Aggregate Functions</title>
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<tgroup cols="4">
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<tgroup cols="5">
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<thead>
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<row>
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<entry>Function</entry>
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<entry>Argument Type(s)</entry>
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<entry>Return Type</entry>
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<entry>Partial Mode</entry>
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<entry>Description</entry>
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</row>
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</thead>
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@ -12702,6 +12703,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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array of the argument type
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</entry>
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<entry>No</entry>
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<entry>input values, including nulls, concatenated into an array</entry>
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</row>
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@ -12715,6 +12717,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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same as argument data type
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</entry>
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<entry>No</entry>
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<entry>input arrays concatenated into array of one higher dimension
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(inputs must all have same dimensionality,
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and cannot be empty or NULL)</entry>
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@ -12740,6 +12743,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<type>double precision</type> for a floating-point argument,
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otherwise the same as the argument data type
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</entry>
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<entry>All types apart from floating-point types</entry>
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<entry>the average (arithmetic mean) of all input values</entry>
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</row>
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@ -12757,6 +12761,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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same as argument data type
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</entry>
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<entry>Yes</entry>
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<entry>the bitwise AND of all non-null input values, or null if none</entry>
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</row>
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@ -12774,6 +12779,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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same as argument data type
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</entry>
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<entry>Yes</entry>
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<entry>the bitwise OR of all non-null input values, or null if none</entry>
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</row>
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@ -12790,6 +12796,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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<type>bool</type>
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</entry>
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<entry>Yes</entry>
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<entry>true if all input values are true, otherwise false</entry>
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</row>
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@ -12806,6 +12813,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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<type>bool</type>
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</entry>
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<entry>Yes</entry>
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<entry>true if at least one input value is true, otherwise false</entry>
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</row>
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@ -12818,6 +12826,7 @@ NULL baz</literallayout>(3 rows)</entry>
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</entry>
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<entry></entry>
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<entry><type>bigint</type></entry>
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<entry>Yes</entry>
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<entry>number of input rows</entry>
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</row>
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@ -12825,6 +12834,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry><function>count(<replaceable class="parameter">expression</replaceable>)</function></entry>
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<entry>any</entry>
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<entry><type>bigint</type></entry>
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<entry>Yes</entry>
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<entry>
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number of input rows for which the value of <replaceable
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class="parameter">expression</replaceable> is not null
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@ -12844,6 +12854,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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<type>bool</type>
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</entry>
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<entry>Yes</entry>
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<entry>equivalent to <function>bool_and</function></entry>
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</row>
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@ -12860,6 +12871,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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<type>json</type>
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</entry>
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<entry>No</entry>
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<entry>aggregates values as a JSON array</entry>
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</row>
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@ -12876,6 +12888,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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<type>jsonb</type>
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</entry>
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<entry>No</entry>
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<entry>aggregates values as a JSON array</entry>
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</row>
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@ -12892,6 +12905,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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<type>json</type>
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</entry>
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<entry>No</entry>
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<entry>aggregates name/value pairs as a JSON object</entry>
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</row>
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@ -12908,6 +12922,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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<type>jsonb</type>
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</entry>
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<entry>No</entry>
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<entry>aggregates name/value pairs as a JSON object</entry>
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</row>
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@ -12921,6 +12936,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>any numeric, string, date/time, network, or enum type,
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or arrays of these types</entry>
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<entry>same as argument type</entry>
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<entry>Yes</entry>
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<entry>
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maximum value of <replaceable
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class="parameter">expression</replaceable> across all input
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@ -12938,6 +12954,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>any numeric, string, date/time, network, or enum type,
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or arrays of these types</entry>
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<entry>same as argument type</entry>
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<entry>Yes</entry>
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<entry>
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minimum value of <replaceable
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class="parameter">expression</replaceable> across all input
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@ -12961,6 +12978,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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same as argument types
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</entry>
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<entry>No</entry>
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<entry>input values concatenated into a string, separated by delimiter</entry>
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</row>
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@ -12983,6 +13001,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<type>bigint</type> arguments, otherwise the same as the
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argument data type
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</entry>
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<entry>All types apart from floating-point types</entry>
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<entry>sum of <replaceable class="parameter">expression</replaceable> across all input values</entry>
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</row>
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@ -12999,6 +13018,7 @@ NULL baz</literallayout>(3 rows)</entry>
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<entry>
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<type>xml</type>
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</entry>
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<entry>No</entry>
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<entry>concatenation of XML values (see also <xref linkend="functions-xml-xmlagg">)</entry>
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</row>
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</tbody>
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@ -13015,6 +13035,12 @@ NULL baz</literallayout>(3 rows)</entry>
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substitute zero or an empty array for null when necessary.
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</para>
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<para>
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Aggregate functions which support <firstterm>Partial Mode</firstterm>
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are eligible to participate in various optimizations, such as parallel
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aggregation.
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</para>
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<note>
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<indexterm>
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<primary>ANY</primary>
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@ -13098,12 +13124,13 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<table id="functions-aggregate-statistics-table">
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<title>Aggregate Functions for Statistics</title>
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<tgroup cols="4">
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<tgroup cols="5">
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<thead>
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<row>
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<entry>Function</entry>
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<entry>Argument Type</entry>
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<entry>Return Type</entry>
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<entry>Partial Mode</entry>
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<entry>Description</entry>
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</row>
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</thead>
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@ -13126,6 +13153,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry>correlation coefficient</entry>
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</row>
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@ -13146,6 +13174,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry>population covariance</entry>
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</row>
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@ -13166,6 +13195,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry>sample covariance</entry>
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</row>
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@ -13182,6 +13212,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry>average of the independent variable
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(<literal>sum(<replaceable class="parameter">X</replaceable>)/<replaceable class="parameter">N</replaceable></literal>)</entry>
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</row>
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@ -13199,6 +13230,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry>average of the dependent variable
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(<literal>sum(<replaceable class="parameter">Y</replaceable>)/<replaceable class="parameter">N</replaceable></literal>)</entry>
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</row>
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@ -13216,6 +13248,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>bigint</type>
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</entry>
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<entry>No</entry>
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<entry>number of input rows in which both expressions are nonnull</entry>
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</row>
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@ -13235,6 +13268,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry>y-intercept of the least-squares-fit linear equation
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determined by the (<replaceable
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class="parameter">X</replaceable>, <replaceable
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@ -13254,6 +13288,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry>square of the correlation coefficient</entry>
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</row>
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@ -13273,6 +13308,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry>slope of the least-squares-fit linear equation determined
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by the (<replaceable class="parameter">X</replaceable>,
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<replaceable class="parameter">Y</replaceable>) pairs</entry>
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@ -13291,6 +13327,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry><literal>sum(<replaceable
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class="parameter">X</replaceable>^2) - sum(<replaceable
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class="parameter">X</replaceable>)^2/<replaceable
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@ -13311,6 +13348,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry><literal>sum(<replaceable
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class="parameter">X</replaceable>*<replaceable
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class="parameter">Y</replaceable>) - sum(<replaceable
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@ -13334,6 +13372,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>double precision</type>
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</entry>
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<entry>No</entry>
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<entry><literal>sum(<replaceable
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class="parameter">Y</replaceable>^2) - sum(<replaceable
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class="parameter">Y</replaceable>)^2/<replaceable
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@ -13360,6 +13399,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<type>double precision</type> for floating-point arguments,
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otherwise <type>numeric</type>
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</entry>
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<entry>All types apart from floating-point types</entry>
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<entry>historical alias for <function>stddev_samp</function></entry>
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</row>
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@ -13383,6 +13423,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<type>double precision</type> for floating-point arguments,
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otherwise <type>numeric</type>
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</entry>
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<entry>All types apart from floating-point types</entry>
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<entry>population standard deviation of the input values</entry>
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</row>
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@ -13406,6 +13447,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<type>double precision</type> for floating-point arguments,
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otherwise <type>numeric</type>
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</entry>
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<entry>All types apart from floating-point types</entry>
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<entry>sample standard deviation of the input values</entry>
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</row>
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@ -13425,6 +13467,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<type>double precision</type> for floating-point arguments,
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otherwise <type>numeric</type>
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</entry>
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<entry>All types apart from floating-point types</entry>
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<entry>historical alias for <function>var_samp</function></entry>
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</row>
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@ -13448,6 +13491,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<type>double precision</type> for floating-point arguments,
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otherwise <type>numeric</type>
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</entry>
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<entry>All types apart from floating-point types</entry>
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<entry>population variance of the input values (square of the population standard deviation)</entry>
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</row>
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@ -13471,6 +13515,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<type>double precision</type> for floating-point arguments,
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otherwise <type>numeric</type>
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</entry>
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<entry>All types apart from floating-point types</entry>
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<entry>sample variance of the input values (square of the sample standard deviation)</entry>
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</row>
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</tbody>
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@ -13495,13 +13540,14 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<table id="functions-orderedset-table">
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<title>Ordered-Set Aggregate Functions</title>
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<tgroup cols="5">
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<tgroup cols="6">
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<thead>
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<row>
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<entry>Function</entry>
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<entry>Direct Argument Type(s)</entry>
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<entry>Aggregated Argument Type(s)</entry>
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<entry>Return Type</entry>
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<entry>Partial Mode</entry>
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<entry>Description</entry>
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</row>
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</thead>
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@ -13524,6 +13570,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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same as sort expression
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</entry>
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<entry>No</entry>
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<entry>
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returns the most frequent input value (arbitrarily choosing the first
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one if there are multiple equally-frequent results)
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@ -13550,6 +13597,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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same as sort expression
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</entry>
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<entry>No</entry>
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<entry>
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continuous percentile: returns a value corresponding to the specified
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fraction in the ordering, interpolating between adjacent input items if
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@ -13570,6 +13618,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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array of sort expression's type
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</entry>
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<entry>No</entry>
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<entry>
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multiple continuous percentile: returns an array of results matching
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the shape of the <literal>fractions</literal> parameter, with each
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|
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@ -13594,6 +13643,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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same as sort expression
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</entry>
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<entry>No</entry>
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<entry>
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discrete percentile: returns the first input value whose position in
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the ordering equals or exceeds the specified fraction
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|
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@ -13613,6 +13663,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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array of sort expression's type
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</entry>
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<entry>No</entry>
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<entry>
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multiple discrete percentile: returns an array of results matching the
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shape of the <literal>fractions</literal> parameter, with each non-null
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@ -13651,13 +13702,14 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<table id="functions-hypothetical-table">
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<title>Hypothetical-Set Aggregate Functions</title>
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<tgroup cols="5">
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<tgroup cols="6">
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<thead>
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<row>
|
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<entry>Function</entry>
|
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<entry>Direct Argument Type(s)</entry>
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<entry>Aggregated Argument Type(s)</entry>
|
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<entry>Return Type</entry>
|
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<entry>Partial Mode</entry>
|
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<entry>Description</entry>
|
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</row>
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</thead>
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|
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@ -13681,6 +13733,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>bigint</type>
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</entry>
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<entry>No</entry>
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<entry>
|
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rank of the hypothetical row, with gaps for duplicate rows
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</entry>
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|
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@ -13703,6 +13756,7 @@ SELECT xmlagg(x) FROM (SELECT x FROM test ORDER BY y DESC) AS tab;
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<entry>
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<type>bigint</type>
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</entry>
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<entry>No</entry>
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<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
|
||||
|
|
|
|||
Loading…
Reference in New Issue