79 lines
2.3 KiB
Plaintext
79 lines
2.3 KiB
Plaintext
[[search-aggregations-metrics-stats-aggregation]]
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=== Stats
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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.
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The stats that are returned consist of: `min`, `max`, `sum`, `count` and `avg`.
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Assuming the data consists of documents representing exams grades (between 0 and 100) of students
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"grades_stats" : { "stats" : { "field" : "grade" } }
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}
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}
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--------------------------------------------------
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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:
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[source,js]
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--------------------------------------------------
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{
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...
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"aggregations": {
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"grades_stats": {
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"count": 6,
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"min": 60,
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"max": 98,
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"avg": 78.5,
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"sum": 471
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}
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}
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}
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--------------------------------------------------
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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.
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==== Script
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Computing the grades stats based on a script:
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[source,js]
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--------------------------------------------------
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{
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...,
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"aggs" : {
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"grades_stats" : { "stats" : { "script" : "doc['grade'].value" } }
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}
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}
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--------------------------------------------------
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===== Value Script
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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:
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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...
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"aggs" : {
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"grades_stats" : {
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"stats" : {
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"field" : "grade",
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"script" : "_value * correction",
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"params" : {
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"correction" : 1.2
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}
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}
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}
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}
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}
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}
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-------------------------------------------------- |