elasticsearch/docs/reference/esql/processing-commands/inlinestats.disabled
Costin Leau bc785f5ca1
Esql/lookup join grammar (#116515)
First PR for adding LOOKUP JOIN in ESQL.
Introduces grammar and wires the main building blocks to execute a query; follow-ups are required (see #116208 for more details).

Co-authored-by: Nik Everett <nik9000@users.noreply.github.com>
2024-11-19 17:52:24 -08:00

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[discrete]
[[esql-inlinestats-by]]
=== `INLINESTATS ... BY`
experimental::["INLINESTATS is highly experimental and only available in SNAPSHOT versions."]
The `INLINESTATS` command calculates an aggregate result and adds new columns
with the result to the stream of input data.
**Syntax**
[source,esql]
----
INLINESTATS [column1 =] expression1[, ..., [columnN =] expressionN]
[BY grouping_expression1[, ..., grouping_expressionN]]
----
*Parameters*
`columnX`::
The name by which the aggregated value is returned. If omitted, the name is
equal to the corresponding expression (`expressionX`). If multiple columns
have the same name, all but the rightmost column with this name will be ignored.
`expressionX`::
An expression that computes an aggregated value. If its name coincides with one
of the computed columns, that column will be ignored.
`grouping_expressionX`::
An expression that outputs the values to group by.
NOTE: Individual `null` values are skipped when computing aggregations.
*Description*
The `INLINESTATS` command calculates an aggregate result and merges that result
back into the stream of input data. Without the optional `BY` clause this will
produce a single result which is appended to each row. With a `BY` clause this
will produce one result per grouping and merge the result into the stream based on
matching group keys.
All of the <<esql-agg-functions,aggregation functions>> are supported.
*Examples*
Find the employees that speak the most languages (it's a tie!):
[source.merge.styled,esql]
----
include::{esql-specs}/inlinestats.csv-spec[tag=max-languages]
----
[%header.monospaced.styled,format=dsv,separator=|]
|===
include::{esql-specs}/inlinestats.csv-spec[tag=max-languages-result]
|===
Find the longest tenured employee who's last name starts with each letter of the alphabet:
[source.merge.styled,esql]
----
include::{esql-specs}/inlinestats.csv-spec[tag=longest-tenured-by-first]
----
[%header.monospaced.styled,format=dsv,separator=|]
|===
include::{esql-specs}/inlinestats.csv-spec[tag=longest-tenured-by-first-result]
|===
Find the northern and southern most airports:
[source.merge.styled,esql]
----
include::{esql-specs}/inlinestats.csv-spec[tag=extreme-airports]
----
[%header.monospaced.styled,format=dsv,separator=|]
|===
include::{esql-specs}/inlinestats.csv-spec[tag=extreme-airports-result]
|===
NOTE: Our test data doesn't have many "small" airports.
If a `BY` field is multivalued then `INLINESTATS` will put the row in *each*
bucket like <<esql-stats-by>>:
[source.merge.styled,esql]
----
include::{esql-specs}/inlinestats.csv-spec[tag=mv-group]
----
[%header.monospaced.styled,format=dsv,separator=|]
|===
include::{esql-specs}/inlinestats.csv-spec[tag=mv-group-result]
|===
To treat each group key as its own row use <<esql-mv_expand>> before `INLINESTATS`:
[source.merge.styled,esql]
----
include::{esql-specs}/inlinestats.csv-spec[tag=mv-expand]
----
[%header.monospaced.styled,format=dsv,separator=|]
|===
include::{esql-specs}/inlinestats.csv-spec[tag=mv-expand-result]
|===