mirror of https://github.com/apache/druid.git
125 lines
3.4 KiB
Markdown
125 lines
3.4 KiB
Markdown
---
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layout: doc_page
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---
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# Post-Aggregations
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Post-aggregations are specifications of processing that should happen on aggregated values as they come out of Druid. If you include a post aggregation as part of a query, make sure to include all aggregators the post-aggregator requires.
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There are several post-aggregators available.
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### Arithmetic post-aggregator
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The arithmetic post-aggregator applies the provided function to the given fields from left to right. The fields can be aggregators or other post aggregators.
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Supported functions are `+`, `-`, `*`, and `/`
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The grammar for an arithmetic post aggregation is:
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```json
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postAggregation : {
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"type" : "arithmetic",
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"name" : <output_name>,
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"fn" : <arithmetic_function>,
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"fields": [<post_aggregator>, <post_aggregator>, ...]
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}
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```
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### Field accessor post-aggregator
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This returns the value produced by the specified [aggregator](Aggregations.html).
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`fieldName` refers to the output name of the aggregator given in the [aggregations](Aggregations.html) portion of the query.
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```json
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{ "type" : "fieldAccess", "fieldName" : <aggregator_name> }
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```
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### Constant post-aggregator
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The constant post-aggregator always returns the specified value.
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```json
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{ "type" : "constant", "name" : <output_name>, "value" : <numerical_value> }
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```
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### JavaScript post-aggregator
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Applies the provided JavaScript function to the given fields. Fields are passed as arguments to the JavaScript function in the given order.
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```json
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postAggregation : {
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"type": "javascript",
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"name": <output_name>,
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"fieldNames" : [<aggregator_name>, <aggregator_name>, ...],
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"function": <javascript function>
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}
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```
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Example JavaScript aggregator:
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```json
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{
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"type": "javascript",
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"name": "absPercent",
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"fieldNames": ["delta", "total"],
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"function": "function(delta, total) { return 100 * Math.abs(delta) / total; }"
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}
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```
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### HyperUnique Cardinality post-aggregator
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The hyperUniqueCardinality post aggregator is used to wrap a hyperUnique object such that it can be used in post aggregations.
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```json
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{ "type" : "hyperUniqueCardinality", "fieldName" : <the name field value of the hyperUnique aggregator>}
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```
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It can be used in a sample calculation as so:
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```json
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"aggregations" : [{
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{"type" : "count", "name" : "rows"},
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{"type" : "hyperUnique", "name" : "unique_users", "fieldName" : "uniques"}
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}],
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"postAggregations" : {
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"type" : "arithmetic",
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"name" : "average_users_per_row",
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"fn" : "/",
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"fields" : [
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{ "type" : "hyperUniqueCardinality", "fieldName" : "unique_users" },
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{ "type" : "fieldAccess", "name" : "rows", "fieldName" : "rows" }
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]
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}
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```
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#### Example Usage
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In this example, let’s calculate a simple percentage using post aggregators. Let’s imagine our data set has a metric called "total".
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The format of the query JSON is as follows:
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```json
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{
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...
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"aggregations" : [
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{ "type" : "count", "name" : "rows" },
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{ "type" : "doubleSum", "name" : "tot", "fieldName" : "total" }
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],
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"postAggregations" : {
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"type" : "arithmetic",
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"name" : "average",
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"fn" : "*",
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"fields" : [
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{ "type" : "arithmetic",
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"name" : "div",
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"fn" : "/",
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"fields" : [
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{ "type" : "fieldAccess", "name" : "tot", "fieldName" : "tot" },
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{ "type" : "fieldAccess", "name" : "rows", "fieldName" : "rows" }
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]
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},
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{ "type" : "constant", "name": "const", "value" : 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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