Add combine functions for various floating-point aggregates.

This allows parallel aggregation to use them.  It may seem surprising
that we use float8_combine for both float4_accum and float8_accum
transition functions, but that's because those functions differ only
in the type of the non-transition-state argument.

Haribabu Kommi, reviewed by David Rowley and Tomas Vondra

1 files changed, 20 insertions, 20 deletions

diff --git a/doc/src/sgml/func.sgml b/doc/src/sgml/func.sgml
index 396eaa5d550..88145c5b808 100644
--- a/doc/src/sgml/func.sgml
+++ b/doc/src/sgml/func.sgml
@@ -12743,7 +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>Yes</entry>
       <entry>the average (arithmetic mean) of all input values</entry>
      </row>
 
@@ -13001,7 +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>Yes</entry>
       <entry>sum of <replaceable class="parameter">expression</replaceable> across all input values</entry>
      </row>
 
@@ -13153,7 +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>Yes</entry>
       <entry>correlation coefficient</entry>
      </row>
 
@@ -13174,7 +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>Yes</entry>
       <entry>population covariance</entry>
      </row>
 
@@ -13195,7 +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>Yes</entry>
       <entry>sample covariance</entry>
      </row>
 
@@ -13212,7 +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>Yes</entry>
       <entry>average of the independent variable
       (<literal>sum(<replaceable class="parameter">X</replaceable>)/<replaceable class="parameter">N</replaceable></literal>)</entry>
      </row>
@@ -13230,7 +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>Yes</entry>
       <entry>average of the dependent variable
       (<literal>sum(<replaceable class="parameter">Y</replaceable>)/<replaceable class="parameter">N</replaceable></literal>)</entry>
      </row>
@@ -13248,7 +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>Yes</entry>
       <entry>number of input rows in which both expressions are nonnull</entry>
      </row>
 
@@ -13268,7 +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>Yes</entry>
       <entry>y-intercept of the least-squares-fit linear equation
       determined by the (<replaceable
       class="parameter">X</replaceable>, <replaceable
@@ -13288,7 +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>Yes</entry>
       <entry>square of the correlation coefficient</entry>
      </row>
 
@@ -13308,7 +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>Yes</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>
@@ -13327,7 +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>Yes</entry>
       <entry><literal>sum(<replaceable
       class="parameter">X</replaceable>^2) - sum(<replaceable
       class="parameter">X</replaceable>)^2/<replaceable
@@ -13348,7 +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>Yes</entry>
       <entry><literal>sum(<replaceable
       class="parameter">X</replaceable>*<replaceable
       class="parameter">Y</replaceable>) - sum(<replaceable
@@ -13372,7 +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>Yes</entry>
       <entry><literal>sum(<replaceable
       class="parameter">Y</replaceable>^2) - sum(<replaceable
       class="parameter">Y</replaceable>)^2/<replaceable
@@ -13399,7 +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>Yes</entry>
       <entry>historical alias for <function>stddev_samp</function></entry>
      </row>
 
@@ -13423,7 +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>Yes</entry>
       <entry>population standard deviation of the input values</entry>
      </row>
 
@@ -13447,7 +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>Yes</entry>
       <entry>sample standard deviation of the input values</entry>
      </row>
 
@@ -13467,7 +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>Yes</entry>
       <entry>historical alias for <function>var_samp</function></entry>
      </row>
 
@@ -13491,7 +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>Yes</entry>
       <entry>population variance of the input values (square of the population standard deviation)</entry>
      </row>
 
@@ -13515,7 +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>Yes</entry>
       <entry>sample variance of the input values (square of the sample standard deviation)</entry>
      </row>
     </tbody>