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  1. Data Sources
  2. Getting Started
  3. Query interface and Native Queries

Aggregations

This is the official documentation of the forestadmin-agent-django and forestadmin-agent-flask Python agents.

An aggregation represents a query to a collection that aggregates on records.

They are simple 3 keys objects:

  • An operation that specifies how the data should be aggregated (Count, Sum, Avg, Max, Min)

  • A field, that specifies the data that should be aggregated

  • Groups, which may be rounded when they are Dates

Supported group rounding operations are Year, Month, Week, Day, and null (let the field as it is).

Count records

The simplest possible query is to count records from a collection.

{ "operation": "Count", "field": null, "groups": [] }

Equivalent in SQL: SELECT COUNT(*) FROM books

Average rating

{ "operation": "Average", "field": "rating", "groups": [] }

Equivalent in SQL: SELECT AVG(rating) FROM books

Average rating by author

{ "operation": "Average", "field": "rating", "groups": [{ "field": "author:name" }] }

Equivalent in SQL: SELECT authorName, AVG(rating) FROM books GROUP BY 1

Average rating by author and year

{
  "operation": "Average",
  "field": "rating",
  "groups": [
    { "field": "authorName" },
    { "field": "createdAt", "operation": "Year" }
  ]
}

Equivalent in SQL: SELECT authorName, TO_YEAR(createdAt), AVG(rating) FROM books GROUP BY 1, 2

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Last updated 11 months ago

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