equals, prefix, exists, etc., using boolean operators and, or, and not. It also supports aggregate result filtering. The main goal is to contextualize user experience (for example, update available filters based on search queries) and provide the following capabilities to basic properties and metadata.
Below is an overview of aggregations and explicit examples of each type.
Overview
Let’s use the simplified input data set below:Bucket aggregations (
uniqueProperties, uniqueValues) return properties and values with frequency (how many times a property appears in the input set or how many properties with a value are in the input set).Types
Let’s look at the examples for each aggregation type.count
Returns the count of items in the data set (i.e., number of Assets, Events, Time Series, etc.). For example, four items, A, B, C, and D, are present in the data set, so the count = 4.Count supports optional properties attribute as well.