1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82
|
[[search-aggregations-metrics-extendedstats-aggregation]]
=== Extended Stats
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 `extended_stats` aggregations is an extended version of the <<search-aggregations-metrics-stats-aggregation,`stats`>> aggregation, where additional metrics are added such as `sum_of_squares`, `variance` and `std_deviation`.
Assuming the data consists of documents representing exams grades (between 0 and 100) of students
[source,js]
--------------------------------------------------
{
"aggs" : {
"grades_stats" : { "extended_stats" : { "field" : "grade" } }
}
}
--------------------------------------------------
The above aggregation computes the grades statistics over all documents. The aggregation type is `extended_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": 72,
"max": 117.6,
"avg": 94.2,
"sum": 565.2,
"sum_of_squares": 54551.51999999999,
"variance": 218.2799999999976,
"std_deviation": 14.774302013969987
}
}
}
--------------------------------------------------
The name of the aggregation (`grades_stats` above) also serves as the key by which the aggreagtion result can be retrieved from the returned response.
==== Script
Computing the grades stats based on a script:
[source,js]
--------------------------------------------------
{
...,
"aggs" : {
"grades_stats" : { "extended_stats" : { "script" : "doc['grade'].value" } }
}
}
--------------------------------------------------
===== 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 value script to get the new stats:
[source,js]
--------------------------------------------------
{
"aggs" : {
...
"aggs" : {
"grades_stats" : {
"extended_stats" : {
"field" : "grade",
"script" : "_value * correction",
"params" : {
"correction" : 1.2
}
}
}
}
}
}
--------------------------------------------------
|