276 lines
7.2 KiB
Plaintext
276 lines
7.2 KiB
Plaintext
[[search-aggregations-bucket-range-aggregation]]
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=== Range
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A multi-bucket value source based aggregation that enables the user to define a set of ranges - each representing a bucket. During the aggregation process, the values extracted from each document will be checked against each bucket range and "bucket" the relevant/matching document.
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Note that this aggregration includes the `from` value and excludes the `to` value for each range.
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Example:
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"price_ranges" : {
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"range" : {
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"field" : "price",
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"ranges" : [
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{ "to" : 50 },
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{ "from" : 50, "to" : 100 },
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{ "from" : 100 }
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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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Response:
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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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"price_ranges" : {
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"buckets": [
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{
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"to": 50,
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"doc_count": 2
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},
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{
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"from": 50,
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"to": 100,
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"doc_count": 4
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},
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{
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"from": 100,
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"doc_count": 4
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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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==== Keyed Response
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Setting the `keyed` flag to `true` will associate a unique string key with each bucket and return the ranges as a hash rather than an array:
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"price_ranges" : {
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"range" : {
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"field" : "price",
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"keyed" : true,
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"ranges" : [
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{ "to" : 50 },
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{ "from" : 50, "to" : 100 },
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{ "from" : 100 }
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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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Response:
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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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"price_ranges" : {
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"buckets": {
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"*-50.0": {
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"to": 50,
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"doc_count": 2
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},
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"50.0-100.0": {
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"from": 50,
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"to": 100,
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"doc_count": 4
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},
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"100.0-*": {
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"from": 100,
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"doc_count": 4
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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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It is also possible to customize the key for each range:
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"price_ranges" : {
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"range" : {
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"field" : "price",
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"keyed" : true,
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"ranges" : [
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{ "key" : "cheap", "to" : 50 },
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{ "key" : "average", "from" : 50, "to" : 100 },
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{ "key" : "expensive", "from" : 100 }
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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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==== Script
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"price_ranges" : {
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"range" : {
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"script" : "doc['price'].value",
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"ranges" : [
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{ "to" : 50 },
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{ "from" : 50, "to" : 100 },
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{ "from" : 100 }
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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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==== Value Script
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Lets say the product prices are in USD but we would like to get the price ranges in EURO. We can use value script to convert the prices prior the aggregation (assuming conversion rate of 0.8)
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"price_ranges" : {
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"range" : {
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"field" : "price",
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"script" : "_value * conversion_rate",
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"params" : {
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"conversion_rate" : 0.8
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},
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"ranges" : [
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{ "to" : 35 },
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{ "from" : 35, "to" : 70 },
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{ "from" : 70 }
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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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==== Sub Aggregations
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The following example, not only "bucket" the documents to the different buckets but also computes statistics over the prices in each price range
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"price_ranges" : {
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"range" : {
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"field" : "price",
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"ranges" : [
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{ "to" : 50 },
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{ "from" : 50, "to" : 100 },
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{ "from" : 100 }
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]
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},
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"aggs" : {
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"price_stats" : {
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"stats" : { "field" : "price" }
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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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Response:
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[source,js]
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--------------------------------------------------
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{
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"aggregations": {
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"price_ranges" : {
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"buckets": [
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{
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"to": 50,
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"doc_count": 2,
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"price_stats": {
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"count": 2,
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"min": 20,
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"max": 47,
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"avg": 33.5,
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"sum": 67
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}
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},
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{
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"from": 50,
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"to": 100,
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"doc_count": 4,
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"price_stats": {
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"count": 4,
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"min": 60,
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"max": 98,
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"avg": 82.5,
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"sum": 330
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}
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},
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{
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"from": 100,
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"doc_count": 4,
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"price_stats": {
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"count": 4,
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"min": 134,
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"max": 367,
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"avg": 216,
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"sum": 864
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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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--------------------------------------------------
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If a sub aggregation is also based on the same value source as the range aggregation (like the `stats` aggregation in the example above) it is possible to leave out the value source definition for it. The following will return the same response as above:
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[source,js]
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--------------------------------------------------
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{
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"aggs" : {
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"price_ranges" : {
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"range" : {
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"field" : "price",
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"ranges" : [
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{ "to" : 50 },
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{ "from" : 50, "to" : 100 },
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{ "from" : 100 }
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]
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},
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"aggs" : {
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"price_stats" : {
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"stats" : {} <1>
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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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<1> We don't need to specify the `price` as we "inherit" it by default from the parent `range` aggregation
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