--- id: post-aggregations title: "Post-aggregations" --- > Apache Druid supports two query languages: [Druid SQL](sql.md) and [native queries](querying.md). > This document describes the native > language. For information about functions available in SQL, refer to the > [SQL documentation](sql.md#aggregation-functions). Post-aggregations are specifications of processing that should happen on aggregated values as they come out of Apache Druid. If you include a post aggregation as part of a query, make sure to include all aggregators the post-aggregator requires. There are several post-aggregators available. ### Arithmetic post-aggregator 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. Supported functions are `+`, `-`, `*`, `/`, and `quotient`. **Note**: * `/` division always returns `0` if dividing by`0`, regardless of the numerator. * `quotient` division behaves like regular floating point division Arithmetic post-aggregators may also specify an `ordering`, which defines the order of resulting values when sorting results (this can be useful for topN queries for instance): - If no ordering (or `null`) is specified, the default floating point ordering is used. - `numericFirst` ordering always returns finite values first, followed by `NaN`, and infinite values last. The grammar for an arithmetic post aggregation is: ```json postAggregation : { "type" : "arithmetic", "name" : , "fn" : , "fields": [, , ...], "ordering" : } ``` ### Field accessor post-aggregators These post-aggregators return the value produced by the specified [aggregator](../querying/aggregations.md). `fieldName` refers to the output name of the aggregator given in the [aggregations](../querying/aggregations.md) portion of the query. For complex aggregators, like "cardinality" and "hyperUnique", the `type` of the post-aggregator determines what the post-aggregator will return. Use type "fieldAccess" to return the raw aggregation object, or use type "finalizingFieldAccess" to return a finalized value, such as an estimated cardinality. ```json { "type" : "fieldAccess", "name": , "fieldName" : } ``` or ```json { "type" : "finalizingFieldAccess", "name": , "fieldName" : } ``` ### Constant post-aggregator The constant post-aggregator always returns the specified value. ```json { "type" : "constant", "name" : , "value" : } ``` ### Greatest / Least post-aggregators `doubleGreatest` and `longGreatest` computes the maximum of all fields and Double.NEGATIVE_INFINITY. `doubleLeast` and `longLeast` computes the minimum of all fields and Double.POSITIVE_INFINITY. The difference between the `doubleMax` aggregator and the `doubleGreatest` post-aggregator is that `doubleMax` returns the highest value of all rows for one specific column while `doubleGreatest` returns the highest value of multiple columns in one row. These are similar to the SQL `MAX` and `GREATEST` functions. Example: ```json { "type" : "doubleGreatest", "name" : , "fields": [, , ...] } ``` ### JavaScript post-aggregator Applies the provided JavaScript function to the given fields. Fields are passed as arguments to the JavaScript function in the given order. ```json postAggregation : { "type": "javascript", "name": , "fieldNames" : [, , ...], "function": } ``` Example JavaScript aggregator: ```json { "type": "javascript", "name": "absPercent", "fieldNames": ["delta", "total"], "function": "function(delta, total) { return 100 * Math.abs(delta) / total; }" } ``` > JavaScript-based functionality is disabled by default. Please refer to the Druid [JavaScript programming guide](../development/javascript.md) for guidelines about using Druid's JavaScript functionality, including instructions on how to enable it. ### HyperUnique Cardinality post-aggregator The hyperUniqueCardinality post aggregator is used to wrap a hyperUnique object such that it can be used in post aggregations. ```json { "type" : "hyperUniqueCardinality", "name": , "fieldName" : } ``` It can be used in a sample calculation as so: ```json "aggregations" : [{ {"type" : "count", "name" : "rows"}, {"type" : "hyperUnique", "name" : "unique_users", "fieldName" : "uniques"} }], "postAggregations" : [{ "type" : "arithmetic", "name" : "average_users_per_row", "fn" : "/", "fields" : [ { "type" : "hyperUniqueCardinality", "fieldName" : "unique_users" }, { "type" : "fieldAccess", "name" : "rows", "fieldName" : "rows" } ] }] ``` This post-aggregator will inherit the rounding behavior of the aggregator it references. Note that this inheritance is only effective if you directly reference an aggregator. Going through another post-aggregator, for example, will cause the user-specified rounding behavior to get lost and default to "no rounding". ## Example Usage In this example, let’s calculate a simple percentage using post aggregators. Let’s imagine our data set has a metric called "total". The format of the query JSON is as follows: ```json { ... "aggregations" : [ { "type" : "count", "name" : "rows" }, { "type" : "doubleSum", "name" : "tot", "fieldName" : "total" } ], "postAggregations" : [{ "type" : "arithmetic", "name" : "average", "fn" : "/", "fields" : [ { "type" : "fieldAccess", "name" : "tot", "fieldName" : "tot" }, { "type" : "fieldAccess", "name" : "rows", "fieldName" : "rows" } ] }] ... } ``` ```json { ... "aggregations" : [ { "type" : "doubleSum", "name" : "tot", "fieldName" : "total" }, { "type" : "doubleSum", "name" : "part", "fieldName" : "part" } ], "postAggregations" : [{ "type" : "arithmetic", "name" : "part_percentage", "fn" : "*", "fields" : [ { "type" : "arithmetic", "name" : "ratio", "fn" : "/", "fields" : [ { "type" : "fieldAccess", "name" : "part", "fieldName" : "part" }, { "type" : "fieldAccess", "name" : "tot", "fieldName" : "tot" } ] }, { "type" : "constant", "name": "const", "value" : 100 } ] }] ... } ```