OpenSearch/docs/reference/aggregations/metrics/stats-aggregation.asciidoc
Colin Goodheart-Smithe 35a58d874e Scripting: Unify script and template requests across codebase
This change unifies the way scripts and templates are specified for all instances in the codebase. It builds on the Script class added previously and adds request building and parsing support as well as the ability to transfer script objects between nodes. It also adds a Template class which aims to provide the same functionality for template APIs

Closes #11091
2015-05-29 16:52:04 +01:00

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[[search-aggregations-metrics-stats-aggregation]]
=== Stats Aggregation
A `multi-value` metrics aggregation that computes stats over numeric values extracted from the aggregated documents. These values can be extracted either from specific numeric fields in the documents, or be generated by a provided script.
The stats that are returned consist of: `min`, `max`, `sum`, `count` and `avg`.
Assuming the data consists of documents representing exams grades (between 0 and 100) of students
[source,js]
--------------------------------------------------
{
"aggs" : {
"grades_stats" : { "stats" : { "field" : "grade" } }
}
}
--------------------------------------------------
The above aggregation computes the grades statistics over all documents. The aggregation type is `stats` and the `field` setting defines the numeric field of the documents the stats will be computed on. The above will return the following:
[source,js]
--------------------------------------------------
{
...
"aggregations": {
"grades_stats": {
"count": 6,
"min": 60,
"max": 98,
"avg": 78.5,
"sum": 471
}
}
}
--------------------------------------------------
The name of the aggregation (`grades_stats` above) also serves as the key by which the aggregation result can be retrieved from the returned response.
==== Script
Computing the grades stats based on a script:
[source,js]
--------------------------------------------------
{
...,
"aggs" : {
"grades_stats" : { "stats" : { "script" : "doc['grade'].value" } }
}
}
--------------------------------------------------
This will interpret the `script` parameter as an `inline` script with the default script language and no script parameters. To use a file script use the following syntax:
[source,js]
--------------------------------------------------
{
...,
"aggs" : {
"grades_stats" : {
"stats" : {
"script" : {
"file": "my_script",
"params" : {
"field" : "grade"
}
}
}
}
}
}
--------------------------------------------------
TIP: for indexed scripts replace the `file` parameter with an `id` parameter.
===== Value Script
It turned out that the exam was way above the level of the students and a grade correction needs to be applied. We can use a value script to get the new stats:
[source,js]
--------------------------------------------------
{
"aggs" : {
...
"aggs" : {
"grades_stats" : {
"stats" : {
"field" : "grade",
"script" :
"inline": "_value * correction",
"params" : {
"correction" : 1.2
}
}
}
}
}
}
}
--------------------------------------------------
==== Missing value
The `missing` parameter defines how documents that are missing a value should be treated.
By default they will be ignored but it is also possible to treat them as if they
had a value.
[source,js]
--------------------------------------------------
{
"aggs" : {
"grades_stats" : {
"stats" : {
"field" : "grade",
"missing": 0 <1>
}
}
}
}
--------------------------------------------------
<1> Documents without a value in the `grade` field will fall into the same bucket as documents that have the value `0`.