$avg (window function)

Definition

$avg

Returns the average of values from a particular window.

Note

Disambiguation

This page describes $avg when used as an window function.

You can also use $avg in these other contexts:

$avg (accumulator), which returns a single aggregated value based on a variable number of input documents.
$avg (expression), which returns the average of numeric elements in an array.

Syntax

{   $setWindowFields: {      ...      output: {         <field>: {            $avg: <expression>         }      }   }}

Behavior

Result Type

The default return type is a double. If at least one input value is a decimal, then the return type is a decimal.

Non-numeric or Missing Values

$avg ignores non-numeric values, including missing values. If all input values are non-numeric, $avg returns null.

Example

Create a cakeSales collection that contains cake sales in the states of California (CA) and Washington (WA):

db.cakeSales.insertMany( [   { _id: 0, type: "chocolate", orderDate: new Date("2020-05-18T14:10:30Z"),     state: "CA", price: 13, quantity: 120 },   { _id: 1, type: "chocolate", orderDate: new Date("2021-03-20T11:30:05Z"),     state: "WA", price: 14, quantity: 140 },   { _id: 2, type: "vanilla", orderDate: new Date("2021-01-11T06:31:15Z"),     state: "CA", price: 12, quantity: 145 },   { _id: 3, type: "vanilla", orderDate: new Date("2020-02-08T13:13:23Z"),     state: "WA", price: 13, quantity: 104 },   { _id: 4, type: "strawberry", orderDate: new Date("2019-05-18T16:09:01Z"),     state: "CA", price: 41, quantity: 162 },   { _id: 5, type: "strawberry", orderDate: new Date("2019-01-08T06:12:03Z"),     state: "WA", price: 43, quantity: 134 }] )

This example uses the $avg window function to output the moving average for the cake sales quantity for each state. For each state, add a field to each document that contains the averaged quantity of the order and all previous orders.

db.cakeSales.aggregate( [   {      $setWindowFields: {         partitionBy: "$state",         sortBy: { orderDate: 1 },         output: {            averageQuantityForState: {               $avg: "$quantity",               window: {                  documents: [ "unbounded", "current" ]               }            }         }      }   }] )

The moving average quantity for CA and WA is shown in the averageQuantityForState field:

[   {      _id: 4,      type: 'strawberry',      orderDate: ISODate('2019-05-18T16:09:01.000Z'),      state: 'CA',      price: 41,      quantity: 162,      averageQuantityForState: 162   },   {      _id: 0,      type: 'chocolate',      orderDate: ISODate('2020-05-18T14:10:30.000Z'),      state: 'CA',      price: 13,      quantity: 120,      averageQuantityForState: 141   },   {      _id: 2,      type: 'vanilla',      orderDate: ISODate('2021-01-11T06:31:15.000Z'),      state: 'CA',      price: 12,      quantity: 145,      averageQuantityForState: 142.33333333333334   },   {      _id: 5,      type: 'strawberry',      orderDate: ISODate('2019-01-08T06:12:03.000Z'),      state: 'WA',      price: 43,      quantity: 134,      averageQuantityForState: 134   },   {      _id: 3,      type: 'vanilla',      orderDate: ISODate('2020-02-08T13:13:23.000Z'),      state: 'WA',      price: 13,      quantity: 104,      averageQuantityForState: 119   },   {      _id: 1,      type: 'chocolate',      orderDate: ISODate('2021-03-20T11:30:05.000Z'),      state: 'WA',      price: 14,      quantity: 140,      averageQuantityForState: 126   }]

In the preceding example:

partitionBy: "$state" partitions the documents in the collection by state. There are partitions for CA and WA.
sortBy: { orderDate: 1 } sorts the documents in each partition by orderDate in ascending order (1), so the earliest orderDate is first.

output sets the averageQuantityForState field to the moving average quantity for the documents in a documents window.

The window contains documents between an unbounded lower limit and the current document in the output. This means $avg returns the moving average of quantity for the documents between the beginning of the partition and the current document (inclusive).

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