203 lines
6.2 KiB
Plaintext
203 lines
6.2 KiB
Plaintext
[[search-aggregations-metrics-weight-avg-aggregation]]
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=== Weighted Avg Aggregation
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A `single-value` metrics aggregation that computes the weighted average of numeric values that are extracted from the aggregated documents.
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These values can be extracted either from specific numeric fields in the documents.
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When calculating a regular average, each datapoint has an equal "weight" ... it contributes equally to the final value. Weighted averages,
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on the other hand, weight each datapoint differently. The amount that each datapoint contributes to the final value is extracted from the
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document, or provided by a script.
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As a formula, a weighted average is the `∑(value * weight) / ∑(weight)`
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A regular average can be thought of as a weighted average where every value has an implicit weight of `1`.
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.`weighted_avg` Parameters
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|===
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|Parameter Name |Description |Required |Default Value
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|`value` | The configuration for the field or script that provides the values |Required |
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|`weight` | The configuration for the field or script that provides the weights |Required |
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|`format` | The numeric response formatter |Optional |
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|`value_type` | A hint about the values for pure scripts or unmapped fields |Optional |
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|===
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The `value` and `weight` objects have per-field specific configuration:
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.`value` Parameters
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|===
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|Parameter Name |Description |Required |Default Value
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|`field` | The field that values should be extracted from |Required |
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|`missing` | A value to use if the field is missing entirely |Optional |
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|`script` | A script which provides the values for the document. This is mutually exclusive with `field` |Optional
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|===
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.`weight` Parameters
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|===
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|Parameter Name |Description |Required |Default Value
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|`field` | The field that weights should be extracted from |Required |
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|`missing` | A weight to use if the field is missing entirely |Optional |
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|`script` | A script which provides the weights for the document. This is mutually exclusive with `field` |Optional
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|===
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==== Examples
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If our documents have a `"grade"` field that holds a 0-100 numeric score, and a `"weight"` field which holds an arbitrary numeric weight,
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we can calculate the weighted average using:
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[source,js]
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--------------------------------------------------
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POST /exams/_search
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{
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"size": 0,
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"aggs" : {
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"weighted_grade": {
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"weighted_avg": {
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"value": {
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"field": "grade"
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},
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"weight": {
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"field": "weight"
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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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// CONSOLE
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// TEST[setup:exams]
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Which yields a response like:
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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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"weighted_grade": {
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"value": 70.0
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}
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]
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While multiple values-per-field are allowed, only one weight is allowed. If the aggregation encounters
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a document that has more than one weight (e.g. the weight field is a multi-valued field) it will throw an exception.
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If you have this situation, you will need to specify a `script` for the weight field, and use the script
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to combine the multiple values into a single value to be used.
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This single weight will be applied independently to each value extracted from the `value` field.
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This example show how a single document with multiple values will be averaged with a single weight:
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[source,js]
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--------------------------------------------------
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POST /exams/_doc?refresh
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{
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"grade": [1, 2, 3],
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"weight": 2
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}
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POST /exams/_search
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{
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"size": 0,
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"aggs" : {
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"weighted_grade": {
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"weighted_avg": {
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"value": {
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"field": "grade"
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},
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"weight": {
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"field": "weight"
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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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// CONSOLE
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// TEST
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The three values (`1`, `2`, and `3`) will be included as independent values, all with the weight of `2`:
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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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"weighted_grade": {
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"value": 2.0
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}
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/\.\.\./"took": $body.took,"timed_out": false,"_shards": $body._shards,"hits": $body.hits,/]
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The aggregation returns `2.0` as the result, which matches what we would expect when calculating by hand:
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`((1*2) + (2*2) + (3*2)) / (2+2+2) == 2`
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==== Script
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Both the value and the weight can be derived from a script, instead of a field. As a simple example, the following
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will add one to the grade and weight in the document using a script:
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[source,js]
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--------------------------------------------------
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POST /exams/_search
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{
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"size": 0,
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"aggs" : {
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"weighted_grade": {
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"weighted_avg": {
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"value": {
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"script": "doc.grade.value + 1"
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},
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"weight": {
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"script": "doc.weight.value + 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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// CONSOLE
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// TEST[setup:exams]
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==== Missing values
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The `missing` parameter defines how documents that are missing a value should be treated.
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The default behavior is different for `value` and `weight`:
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By default, if the `value` field is missing the document is ignored and the aggregation moves on to the next document.
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If the `weight` field is missing, it is assumed to have a weight of `1` (like a normal average).
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Both of these defaults can be overridden with the `missing` parameter:
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[source,js]
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--------------------------------------------------
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POST /exams/_search
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{
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"size": 0,
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"aggs" : {
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"weighted_grade": {
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"weighted_avg": {
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"value": {
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"field": "grade",
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"missing": 2
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},
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"weight": {
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"field": "weight",
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"missing": 3
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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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// CONSOLE
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// TEST[setup:exams]
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