elasticsearch/docs/reference/esql/functions/median.asciidoc
Abdon Pijpelink 980bc500b0
[DOCS] Support for nested functions in ES|QL STATS...BY (#104788)
* Document nested expressions for stats

* More docs

* Apply suggestions from review

- count-distinct.asciidoc
  - Content restructured, moving the section about approximate counts to end of doc.

- count.asciidoc
  - Clarified that omitting the `expression` parameter in `COUNT` is equivalent to `COUNT(*)`, which counts the number of rows.

- percentile.asciidoc
  - Moved the note about `PERCENTILE` being approximate and non-deterministic to end of doc.

- stats.asciidoc
  - Clarified the `STATS` command
  -  Added a note indicating that individual `null` values are skipped during aggregation

* Comment out mentioning a buggy behavior

* Update sum with inline function example, update test file

* Fix typo

* Delete line

* Simplify wording

* Fix conflict fix typo

---------

Co-authored-by: Liam Thompson <leemthompo@gmail.com>
Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
2024-01-30 19:29:12 +01:00

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Text

[discrete]
[[esql-agg-median]]
=== `MEDIAN`
*Syntax*
[source,esql]
----
MEDIAN(expression)
----
*Parameters*
`expression`::
Expression from which to return the median value.
*Description*
Returns the value that is greater than half of all values and less than half of
all values, also known as the 50% <<esql-agg-percentile>>.
NOTE: Like <<esql-agg-percentile>>, `MEDIAN` is <<esql-agg-percentile-approximate,usually approximate>>.
[WARNING]
====
`MEDIAN` is also {wikipedia}/Nondeterministic_algorithm[non-deterministic].
This means you can get slightly different results using the same data.
====
*Example*
[source.merge.styled,esql]
----
include::{esql-specs}/stats_percentile.csv-spec[tag=median]
----
[%header.monospaced.styled,format=dsv,separator=|]
|===
include::{esql-specs}/stats_percentile.csv-spec[tag=median-result]
|===
The expression can use inline functions. For example, to calculate the median of
the maximum values of a multivalued column, first use `MV_MAX` to get the
maximum value per row, and use the result with the `MEDIAN` function:
[source.merge.styled,esql]
----
include::{esql-specs}/stats_percentile.csv-spec[tag=docsStatsMedianNestedExpression]
----
[%header.monospaced.styled,format=dsv,separator=|]
|===
include::{esql-specs}/stats_percentile.csv-spec[tag=docsStatsMedianNestedExpression-result]
|===