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 } }
]