db.collection.findOneAndUpdate()
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This page documents a mongosh
method. To see the equivalent
method in a MongoDB driver, see the corresponding page for your
programming language:
Definition
db.collection.findOneAndUpdate( filter, update, options )
Updates a single document based on the
filter
andsort
criteria.Tip
New in version 8.0: The
updateOne()
method includes asort
option to update the first document in a user specified sort order.Returns: Returns the original document by default. Returns the updated document if returnNewDocument is set to true
or returnDocument is set toafter
.
Compatibility
This method is available in deployments hosted in the following environments:
MongoDB Atlas: The fully managed service for MongoDB deployments in the cloud
Note
This command is supported in all MongoDB Atlas clusters. For information on Atlas support for all commands, see Unsupported Commands.
MongoDB Enterprise: The subscription-based, self-managed version of MongoDB
MongoDB Community: The source-available, free-to-use, and self-managed version of MongoDB
Syntax
The findOneAndUpdate()
method has the following
form:
db.collection.findOneAndUpdate( <filter>, <update document or aggregation pipeline>, { writeConcern: <document>, projection: <document>, sort: <document>, maxTimeMS: <number>, upsert: <boolean>, returnDocument: <string>, returnNewDocument: <boolean>, collation: <document>, arrayFilters: [ <filterdocument1>, ... ] } )
The findOneAndUpdate()
method takes the following
parameters:
Parameter | Type | Description | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| document | The selection criteria for the update. The same query
selectors as in the To update the first document returned in the collection,
specify an empty document If unspecified, defaults to an empty document. If the query field is not a document, the operation returns an error. If no document matches the | ||||||||||||||||||
| document or array | The update document or an aggregation pipeline.
| ||||||||||||||||||
| document | Optional. A document expressing the write concern. Omit to use the default write concern.
Do not explicitly set the write concern for the operation if run in a transaction. To use write concern with transactions, see Transactions and Write Concern. | ||||||||||||||||||
| document | Optional. A subset of fields to return. To return all fields in the returned document, omit this parameter. If the projection argument is not a document, the operation errors. | ||||||||||||||||||
| document | Optional. Specifies a sorting order for the documents matched by the If the sort argument is not a document, the operation errors. See | ||||||||||||||||||
| number | Optional. Specifies a time limit in milliseconds within which the operation must complete within. Throws an error if the limit is exceeded. | ||||||||||||||||||
| boolean | Optional. When
To avoid multiple upserts, ensure that the
Defaults to | ||||||||||||||||||
| string | Optional. Starting in
| ||||||||||||||||||
| boolean | Optional. When Defaults to | ||||||||||||||||||
| document | Optional. Specifies the collation to use for the operation. Collation allows users to specify language-specific rules for string comparison, such as rules for lettercase and accent marks. The collation option has the following syntax:
When specifying collation, the If the collation is unspecified but the collection has a
default collation (see If no collation is specified for the collection or for the operations, MongoDB uses the simple binary comparison used in prior versions for string comparisons. You cannot specify multiple collations for an operation. For example, you cannot specify different collations per field, or if performing a find with a sort, you cannot use one collation for the find and another for the sort. | ||||||||||||||||||
| array | Optional. An array of filter documents that determine which array elements to modify for an update operation on an array field. In the update document, use the The You can include the same identifier multiple times in the update
document; however, for each distinct identifier (
However, you can specify compound conditions on the same identifier in a single filter document, such as in the following examples:
For examples, see Array Update Operations with
|
Behavior
Performance
Retryable writes require the findOneAndUpdate()
method to copy the entire document into
a special side collection for each node in a replica set before it performs
the update. This can make findOneAndUpdate()
an expensive operation when dealing with
large documents or large replica sets.
New in version 8.0: To update the first document in a user-defined ordering with
better performance, use the db.collection.updateOne()
method with the sort
option.
Document Match
db.collection.findOneAndUpdate()
updates the first matching
document in the collection that matches the filter
. If no document
matches the filter
, no document is updated.
The sort
parameter can be used to influence which document is updated.
Projection
Important
Language Consistency
As part of making find()
and
findAndModify()
projection consistent with
aggregation's $project
stage,
The
find()
andfindAndModify()
projection can accept aggregation expressions and syntax.MongoDB enforces additional restrictions with regards to projections. See Projection Restrictions for details.
The projection
parameter takes a document in the following form:
{ field1 : <value>, field2 : <value> ... }
Projection | Description |
---|---|
| Specifies the inclusion of a field. If you specify a non-zero
integer for the projection value, the operation treats the
value as |
| Specifies the exclusion of a field. |
| |
| Uses the array projection operators ( Not available for views. |
| Specifies the value of the projected field. With the use of aggregation expressions and syntax, including the use of literals and aggregation variables, you can project new fields or project existing fields with new values.
|
Embedded Field Specification
For fields in an embedded documents, you can specify the field using either:
dot notation, for example
"field.nestedfield": <value>
nested form, for example
{ field: { nestedfield: <value> } }
_id
Field Projection
The _id
field is included in the returned documents by default unless
you explicitly specify _id: 0
in the projection to suppress the field.
Inclusion or Exclusion
A projection
cannot contain both include and exclude
specifications, with the exception of the _id
field:
In projections that explicitly include fields, the
_id
field is the only field that you can explicitly exclude.In projections that explicitly excludes fields, the
_id
field is the only field that you can explicitly include; however, the_id
field is included by default.
For more information on projection, see also:
Sharded Collections
Documents in a sharded collection can be
missing the shard key fields. To target a
document that is missing the shard key, you can use the null
equality match in conjunction with another filter condition
(such as on the _id
field). For example:
{ _id: <value>, <shardkeyfield>: null } // _id of the document missing shard key
Shard Key Modification
You can update a document's shard key value unless the shard key field is the
immutable _id
field.
Warning
Documents in sharded collections can be missing the shard key fields. Take precaution to avoid accidentally removing the shard key when changing a document's shard key value.
To modify the existing shard key value with
db.collection.findOneAndUpdate()
:
You must run on a
mongos
. Do not issue the operation directly on the shard.You must run either in a transaction or as a retryable write.
You must include an equality filter on the full shard key.
Missing Shard Key
Documents in a sharded collection can be
missing the shard key fields. To use
db.collection.findOneAndUpdate()
to set the document's
missing shard key,
You must run on a
mongos
. Do not issue the operation directly on the shard.You must run either in a transaction or as a retryable write if the new shard key value is not
null
.You must include an equality filter on the full shard key.
Tip
Since a missing key value is returned as part of a null equality
match, to avoid updating a null-valued key, include additional
query conditions (such as on the _id
field) as appropriate.
See also:
Transactions
db.collection.findOneAndUpdate()
can be used inside distributed transactions.
Important
In most cases, a distributed transaction incurs a greater performance cost over single document writes, and the availability of distributed transactions should not be a replacement for effective schema design. For many scenarios, the denormalized data model (embedded documents and arrays) will continue to be optimal for your data and use cases. That is, for many scenarios, modeling your data appropriately will minimize the need for distributed transactions.
For additional transactions usage considerations (such as runtime limit and oplog size limit), see also Production Considerations.
Upsert within Transactions
You can create collections and indexes inside a distributed transaction if the transaction is not a cross-shard write transaction.
db.collection.findOneAndUpdate()
with upsert: true
can be run on an existing
collection or a non-existing collection. If run on a non-existing
collection, the operation creates the collection.
Write Concerns and Transactions
Do not explicitly set the write concern for the operation if run in a transaction. To use write concern with transactions, see Transactions and Write Concern.
Oplog Entries
If a db.collection.findOneAndUpdate()
operation successfully updates
a document, the operation adds an entry on the oplog (operations
log). If the operation fails or does not find a document to update, the
operation does not add an entry on the oplog.
Examples
Update A Document
The grades
collection contains documents similar to the following:
{ _id: 6305, name : "A. MacDyver", "assignment" : 5, "points" : 24 }, { _id: 6308, name : "B. Batlock", "assignment" : 3, "points" : 22 }, { _id: 6312, name : "M. Tagnum", "assignment" : 5, "points" : 30 }, { _id: 6319, name : "R. Stiles", "assignment" : 2, "points" : 12 }, { _id: 6322, name : "A. MacDyver", "assignment" : 2, "points" : 14 }, { _id: 6234, name : "R. Stiles", "assignment" : 1, "points" : 10 }
The following operation finds the first document where name : R. Stiles
and increments the score by 5
:
db.grades.findOneAndUpdate( { "name" : "R. Stiles" }, { $inc: { "points" : 5 } } )
The operation returns the original document before the update:
{ _id: 6319, name: "R. Stiles", "assignment" : 2, "points" : 12 }
If returnNewDocument
was true, the operation would return the
updated document instead.
Sort And Update A Document
The grades
collection contains documents similar to the following:
{ _id: 6305, name : "A. MacDyver", "assignment" : 5, "points" : 24 }, { _id: 6308, name : "B. Batlock", "assignment" : 3, "points" : 22 }, { _id: 6312, name : "M. Tagnum", "assignment" : 5, "points" : 30 }, { _id: 6319, name : "R. Stiles", "assignment" : 2, "points" : 12 }, { _id: 6322, name : "A. MacDyver", "assignment" : 2, "points" : 14 }, { _id: 6234, name : "R. Stiles", "assignment" : 1, "points" : 10 }
The following operation updates a document where name : "A. MacDyver"
. The
operation sorts the matching documents by points
ascending to update the
matching document with the least points.
db.grades.findOneAndUpdate( { "name" : "A. MacDyver" }, { $inc : { "points" : 5 } }, { sort : { "points" : 1 } } )
The operation returns the original document before the update:
{ _id: 6322, name: "A. MacDyver", "assignment" : 2, "points" : 14 }
Project the Returned Document
The following operation uses projection to only display the _id
,
points
, and assignment
fields in the returned document:
db.grades.findOneAndUpdate( { "name" : "A. MacDyver" }, { $inc : { "points" : 5 } }, { sort : { "points" : 1 }, projection: { "assignment" : 1, "points" : 1 } } )
The operation returns the original document with only the
fields specified in the projection
document and the _id
field as it was not
explicitly suppressed (_id: 0
) in the projection document.
{ "_id" : 6322, "assignment" : 2, "points" : 14 }
Update Document with Time Limit
The following operation sets a 5ms time limit to complete the update:
try { db.grades.findOneAndUpdate( { "name" : "A. MacDyver" }, { $inc : { "points" : 5 } }, { sort: { "points" : 1 }, maxTimeMS : 5 }; ); } catch(e){ print(e); }
If the operation exceeds the time limit, it returns:
Error: findAndModifyFailed failed: { "ok" : 0, "errmsg" : "operation exceeded time limit", "code" : 50 }
Update Document with Upsert
The following operation uses the upsert
field to insert the update
document if nothing matches the filter
:
try { db.grades.findOneAndUpdate( { "name" : "A.B. Abracus" }, { $set: { "name" : "A.B. Abracus", "assignment" : 5}, $inc : { "points" : 5 } }, { sort: { "points" : 1 }, upsert:true, returnNewDocument : true } ); } catch (e){ print(e); }
The operation returns the following:
{ "_id" : ObjectId("5789249f1c49e39a8adc479a"), "name" : "A.B. Abracus", "assignment" : 5, "points" : 5 }
If returnNewDocument
was false, the operation would return null
as
there is no original document to return.
Specify Collation
Collation allows users to specify language-specific rules for string comparison, such as rules for lettercase and accent marks.
A collection myColl
has the following documents:
{ _id: 1, category: "café", status: "A" } { _id: 2, category: "cafe", status: "a" } { _id: 3, category: "cafE", status: "a" }
The following operation includes the collation option:
db.myColl.findOneAndUpdate( { category: "cafe" }, { $set: { status: "Updated" } }, { collation: { locale: "fr", strength: 1 } } );
The operation returns the following document:
{ "_id" : 1, "category" : "café", "status" : "A" }
Array Update Operations with arrayFilters
Note
arrayFilters
is not available for updates that use an
aggregation pipeline.
When updating an array field, you can specify arrayFilters
that
determine which array elements to update.
Update Elements Match arrayFilters
Criteria
Note
arrayFilters
is not available for updates that use an
aggregation pipeline.
Create a collection students
with the following documents:
db.students.insertMany( [ { "_id" : 1, "grades" : [ 95, 92, 90 ] }, { "_id" : 2, "grades" : [ 98, 100, 102 ] }, { "_id" : 3, "grades" : [ 95, 110, 100 ] } ] )
To modify all elements that are greater than or equal to 100
in the
grades
array, use the filtered positional operator
$[<identifier>]
with the arrayFilters
option in the
db.collection.findOneAndUpdate()
method:
db.students.findOneAndUpdate( { grades: { $gte: 100 } }, { $set: { "grades.$[element]" : 100 } }, { arrayFilters: [ { "element": { $gte: 100 } } ] } )
The operation updates the grades
field for a single document, and
after the operation, the collection has the following documents:
{ "_id" : 1, "grades" : [ 95, 92, 90 ] } { "_id" : 2, "grades" : [ 98, 100, 100 ] } { "_id" : 3, "grades" : [ 95, 110, 100 ] }
Update Specific Elements of an Array of Documents
Note
arrayFilters
is not available for updates that use an
aggregation pipeline.
Create a collection students2
with the following documents:
db.students2.insertMany( [ { "_id" : 1, "grades" : [ { "grade" : 80, "mean" : 75, "std" : 6 }, { "grade" : 85, "mean" : 90, "std" : 4 }, { "grade" : 85, "mean" : 85, "std" : 6 } ] }, { "_id" : 2, "grades" : [ { "grade" : 90, "mean" : 75, "std" : 6 }, { "grade" : 87, "mean" : 90, "std" : 3 }, { "grade" : 85, "mean" : 85, "std" : 4 } ] } ] )
The following operation finds a document where the _id
field equals
1
and uses the filtered positional operator $[<identifier>]
with
the arrayFilters
to modify the mean
for all elements in the
grades
array where the grade is greater than or equal to 85
.
db.students2.findOneAndUpdate( { _id : 1 }, { $set: { "grades.$[elem].mean" : 100 } }, { arrayFilters: [ { "elem.grade": { $gte: 85 } } ] } )
The operation updates the grades
field for a single document, and after the
operation, the collection has the following documents:
{ "_id" : 1, "grades" : [ { "grade" : 80, "mean" : 75, "std" : 6 }, { "grade" : 85, "mean" : 100, "std" : 4 }, { "grade" : 85, "mean" : 100, "std" : 6 } ] } { "_id" : 2, "grades" : [ { "grade" : 90, "mean" : 75, "std" : 6 }, { "grade" : 87, "mean" : 90, "std" : 3 }, { "grade" : 85, "mean" : 85, "std" : 4 } ] }
Use an Aggregation Pipeline for Updates
db.collection.findOneAndUpdate()
can accept an aggregation pipeline
for the update. The pipeline can consist of the following stages:
$addFields
and its alias$set
$replaceRoot
and its alias$replaceWith
.
Using the aggregation pipeline allows for a more expressive update statement, such as expressing conditional updates based on current field values or updating one field using the value of another field(s).
For example, create a collection students2
with the following
documents:
db.students2.insertMany( [ { "_id" : 1, "grades" : [ { "grade" : 80, "mean" : 75, "std" : 6 }, { "grade" : 85, "mean" : 90, "std" : 4 }, { "grade" : 85, "mean" : 85, "std" : 6 } ] }, { "_id" : 2, "grades" : [ { "grade" : 90, "mean" : 75, "std" : 6 }, { "grade" : 87, "mean" : 90, "std" : 3 }, { "grade" : 85, "mean" : 85, "std" : 4 } ] } ] )
The following operation finds a document where the _id
field equals
1
and uses an aggregation pipeline to calculate a new field
total
from the grades
field:
db.students2.findOneAndUpdate( { _id : 1 }, [ { $set: { "total" : { $sum: "$grades.grade" } } } ], // The $set stage is an alias for ``$addFields`` stage { returnNewDocument: true } )
Note
The operation returns the updated document :
{ "_id" : 1, "grades" : [ { "grade" : 80, "mean" : 75, "std" : 6 }, { "grade" : 85, "mean" : 90, "std" : 4 }, { "grade" : 85, "mean" :85, "std" : 6 } ], "total" : 250 }