$unsetField (aggregation)
Definition
$unsetFieldNew in version 5.0.
Removes a specified field in a document.
You can use
$unsetFieldto remove fields with names that contain periods (.) or that start with dollar signs ($).$unsetFieldis an alias for$setFieldusing$$REMOVEto remove fields.
Syntax
$unsetField has the following syntax:
{    $unsetField: {       field: <String>,       input: <Object>,    } } 
You must provide the following fields:
Field  | Type  | Description  | 
|---|---|---|
  | String  | Field in the   | 
  | Object  | Document that contains the   | 
Behavior
If
inputevaluates tomissing,undefined, ornull,$unsetFieldreturnsnulland does not updateinput.If
inputevaluates to anything other than an object,missing,undefined, ornull,$unsetFieldreturns an error.If
fieldresolves to anything other than a string constant,$unsetFieldreturns an error.$unsetFielddoesn't implicitly traverse objects or arrays. For example,$unsetFieldevaluates afieldvalue of"a.b.c"as a top-level field"a.b.c"instead of as a nested field,{ "a": { "b": { "c": } } }.
Examples
Remove Fields that Contain Periods (.)
Consider the inventory collection:
db.inventory.insertMany( [    { _id: 1, item: "sweatshirt", qty: 300, "price.usd": 45.99 },    { _id: 2, item: "winter coat", qty: 200, "price.usd": 499.99 },    { _id: 3, item: "sun dress", qty: 250, "price.usd": 199.99 },    { _id: 4, item: "leather boots", qty: 300, "price.usd": 249.99 },    { _id: 5, item: "bow tie", qty: 180, "price.usd": 9.99 }  ] ) 
Use the $replaceWith pipeline stage and the
$unsetField operator to remove the "price.usd" field
from each document:
db.inventory.aggregate( [    { $replaceWith: {         $unsetField: {            field: "price.usd",            input: "$$ROOT"    } } }  ] ) 
The operation returns the following results:
[   { _id: 1, item: 'sweatshirt', qty: 300 },   { _id: 2, item: 'winter coat', qty: 200 },   { _id: 3, item: 'sun dress', qty: 250 },   { _id: 4, item: 'leather boots', qty: 300 },   { _id: 5, item: 'bow tie', qty: 180 } ] 
Remove Fields that Start with a Dollar Sign ($)
Consider the inventory collection:
db.inventory.insertMany( [    { _id: 1, item: "sweatshirt", qty: 300, "$price": 45.99 },    { _id: 2, item: "winter coat", qty: 200, "$price": 499.99 },    { _id: 3, item: "sun dress", qty: 250, "$price": 199.99 },    { _id: 4, item: "leather boots", qty: 300, "$price": 249.99 },    { _id: 5, item: "bow tie", qty: 180, "$price": 9.99 }  ] ) 
Use the $replaceWith pipeline stage with the
$unsetField and $literal operators to
remove the "$price" field from each document:
db.inventory.aggregate( [    { $replaceWith: {         $unsetField: {            field: { $literal: "$price" },            input: "$$ROOT"    } } } ] ) 
The operation returns the following results:
[   { _id: 1, item: 'sweatshirt', qty: 300 },   { _id: 2, item: 'winter coat', qty: 200 },   { _id: 3, item: 'sun dress', qty: 250 },   { _id: 4, item: 'leather boots', qty: 300 },   { _id: 5, item: 'bow tie', qty: 180 } ] 
Remove A Subfield
Consider the inventory collection:
db.inventory.insertMany( [    { _id: 1, item: "sweatshirt", qty: 300, "price": {"usd":45.99, "euro": 38.77 } },    { _id: 2, item: "winter coat", qty: 200, "price": { "usd": 499.99, "euro": 420.51 } },    { _id: 3, item: "sun dress", qty: 250, "price": { "usd": 199.99, "euro": 167.70 } },    { _id: 4, item: "leather boots", qty: 300, "price": { "usd": 249.99, "euro": 210.68 } },    { _id: 5, item: "bow tie", qty: 180, "price": { "usd": 9.99, "euro": 8.42 } }  ] ) 
The "price" field contains a document with two subfields, "usd"
and "euro". You cannot use "price.euro" to identify and remove
"euro" because MongoDB parses "price.euro" as a top level field
name that happens to contain a period (.).
Use the $replaceWith pipeline stage with
$setField and a nested $unsetField
operation to remove the "euro" field:
db.inventory.aggregate( [    { $replaceWith: {         $setField: {            field: "price",            input: "$$ROOT",            value: {               $unsetField: {                  field: "euro",                  input: { $getField: "price" }    } } } } } ] ) 
The operation returns the following results:
[    { _id: 1, item: "sweatshirt", qty: 300, price: { usd: 45.99 } },    { _id: 2, item: "winter coat", qty: 200, price: { usd: 499.99 } },    { _id: 3, item: "sun dress", qty: 250, price: { usd: 199.99 } },    { _id: 4, item: "leather boots", qty: 300, price: { usd: 249.99 } },    { _id: 5, item: "bow tie", qty: 180, price: { usd: 9.99 } } ]