elasticsearch/docs/reference/sql/functions/aggs.asciidoc

[role="xpack"]
[testenv="basic"]
[[sql-functions-aggs]]
=== Aggregate Functions

beta[]

Functions for computing a _single_ result from a set of input values.
{es-sql} supports aggregate functions only alongside <<sql-syntax-group-by,grouping>> (implicit or explicit).

==== General Purpose

[[sql-functions-aggs-avg]]
===== `AVG`

.Synopsis:
[source, sql]
--------------------------------------------------
AVG(numeric_field<1>)
--------------------------------------------------

*Input*:

<1> numeric field

*Output*: `double` numeric value

.Description:

Returns the https://en.wikipedia.org/wiki/Arithmetic_mean[Average] (arithmetic mean) of input values.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggAvg]
--------------------------------------------------

[[sql-functions-aggs-count]]
===== `COUNT`

.Synopsis:
[source, sql]
--------------------------------------------------
COUNT(expression<1>)
--------------------------------------------------

*Input*:

<1> a field name, wildcard (`*`) or any numeric value

*Output*: numeric value

.Description:

Returns the total number (count) of input values.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggCountStar]
--------------------------------------------------

[[sql-functions-aggs-count-distinct]]
===== `COUNT(DISTINCT)`

.Synopsis:
[source, sql]
--------------------------------------------------
COUNT(DISTINCT field_name<1>)
--------------------------------------------------

*Input*:

<1> a field name

*Output*: numeric value

.Description:

Returns the total number of _distinct_ values in input values.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggCountDistinct]
--------------------------------------------------

[[sql-functions-aggs-max]]
===== `MAX`

.Synopsis:
[source, sql]
--------------------------------------------------
MAX(field_name<1>)
--------------------------------------------------

*Input*:

<1> a numeric field

*Output*: same type as the input

.Description:

Returns the maximum value across input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggMax]
--------------------------------------------------

[[sql-functions-aggs-min]]
===== `MIN`

.Synopsis:
[source, sql]
--------------------------------------------------
MIN(field_name<1>)
--------------------------------------------------

*Input*:

<1> a numeric field

*Output*: same type as the input

.Description:

Returns the minimum value across input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggMin]
--------------------------------------------------

[[sql-functions-aggs-sum]]
===== `SUM`

.Synopsis:
[source, sql]
--------------------------------------------------
SUM(field_name<1>)
--------------------------------------------------

*Input*:

<1> a numeric field

*Output*: `bigint` for integer input, `double` for floating points

.Description:

Returns the sum of input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggSum]
--------------------------------------------------

==== Statistics

[[sql-functions-aggs-kurtosis]]
===== `KURTOSIS`

.Synopsis:
[source, sql]
--------------------------------------------------
KURTOSIS(field_name<1>)
--------------------------------------------------

*Input*:

<1> a numeric field

*Output*: `double` numeric value

.Description:

https://en.wikipedia.org/wiki/Kurtosis[Quantify] the shape of the distribution of input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggKurtosis]
--------------------------------------------------

[[sql-functions-aggs-percentile]]
===== `PERCENTILE`

.Synopsis:
[source, sql]
--------------------------------------------------
PERCENTILE(field_name<1>, numeric_exp<2>)
--------------------------------------------------

*Input*:

<1> a numeric field
<2> a numeric expression

*Output*: `double` numeric value

.Description:

Returns the nth https://en.wikipedia.org/wiki/Percentile[percentile] (represented by `numeric_exp` parameter)
of input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggPercentile]
--------------------------------------------------

[[sql-functions-aggs-percentile-rank]]
===== `PERCENTILE_RANK`

.Synopsis:
[source, sql]
--------------------------------------------------
PERCENTILE_RANK(field_name<1>, numeric_exp<2>)
--------------------------------------------------

*Input*:

<1> a numeric field
<2> a numeric expression

*Output*: `double` numeric value

.Description:

Returns the nth https://en.wikipedia.org/wiki/Percentile_rank[percentile rank] (represented by `numeric_exp` parameter)
of input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggPercentileRank]
--------------------------------------------------

[[sql-functions-aggs-skewness]]
===== `SKEWNESS`

.Synopsis:
[source, sql]
--------------------------------------------------
SKEWNESS(field_name<1>)
--------------------------------------------------

*Input*:

<1> a numeric field

*Output*: `double` numeric value

.Description:

https://en.wikipedia.org/wiki/Skewness[Quantify] the asymmetric distribution of input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggSkewness]
--------------------------------------------------

[[sql-functions-aggs-stddev-pop]]
===== `STDDEV_POP`

.Synopsis:
[source, sql]
--------------------------------------------------
STDDEV_POP(field_name<1>)
--------------------------------------------------

*Input*:

<1> a numeric field

*Output*: `double` numeric value

.Description:

Returns the https://en.wikipedia.org/wiki/Standard_deviations[population standard deviation] of input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggStddevPop]
--------------------------------------------------

[[sql-functions-aggs-sum-squares]]
===== `SUM_OF_SQUARES`

.Synopsis:
[source, sql]
--------------------------------------------------
SUM_OF_SQUARES(field_name<1>)
--------------------------------------------------

*Input*:

<1> a numeric field

*Output*: `double` numeric value

.Description:

Returns the https://en.wikipedia.org/wiki/Total_sum_of_squares[sum of squares] of input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggSumOfSquares]
--------------------------------------------------

[[sql-functions-aggs-var-pop]]
===== `VAR_POP`

.Synopsis:
[source, sql]
--------------------------------------------------
VAR_POP(field_name<1>)
--------------------------------------------------

*Input*:

<1> a numeric field

*Output*: `double` numeric value

.Description:

Returns the https://en.wikipedia.org/wiki/Variance[population variance] of input values in the field `field_name`.

["source","sql",subs="attributes,macros"]
--------------------------------------------------
include-tagged::{sql-specs}/docs.csv-spec[aggVarPop]
--------------------------------------------------