MotorCollection
¶
- class motor.motor_tornado.MotorCollection(database, name, codec_options=None, read_preference=None, write_concern=None, read_concern=None, _delegate=None)¶
- c[name] || c.name
Get the name sub-collection of
MotorCollection
c.Raises
InvalidName
if an invalid collection name is used.
- database¶
The
MotorDatabase
that thisMotorCollection
is a part of.- aggregate(pipeline, *args, **kwargs)¶
Execute an aggregation pipeline on this collection.
The aggregation can be run on a secondary if the client is connected to a replica set and its
read_preference
is notPRIMARY
.- Parameters
pipeline: a single command or list of aggregation commands
session (optional): a
ClientSession
, created withstart_session()
.**kwargs: send arbitrary parameters to the aggregate command
All optional aggregate command parameters should be passed as keyword arguments to this method. Valid options include, but are not limited to:
allowDiskUse (bool): Enables writing to temporary files. When set to True, aggregation stages can write data to the _tmp subdirectory of the –dbpath directory. The default is False.
maxTimeMS (int): The maximum amount of time to allow the operation to run in milliseconds.
batchSize (int): The maximum number of documents to return per batch. Ignored if the connected mongod or mongos does not support returning aggregate results using a cursor.
collation (optional): An instance of
Collation
.let (dict): A dict of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g.
"$$var"
). This option is only supported on MongoDB >= 5.0.
Returns a
MotorCommandCursor
that can be iterated like a cursor fromfind()
:async def f(): pipeline = [{'$project': {'name': {'$toUpper': '$name'}}}] async for doc in collection.aggregate(pipeline): print(doc)
Note that this method returns a
MotorCommandCursor
which lazily runs the aggregate command when first iterated. In order to run an aggregation with$out
or$merge
the application needs to iterate the cursor, for example:cursor = motor_coll.aggregate([{'$out': 'out'}]) # Iterate the cursor to run the $out (or $merge) operation. await cursor.to_list(length=None) # Or more succinctly: await motor_coll.aggregate([{'$out': 'out'}]).to_list(length=None) # Or: async for _ in motor_coll.aggregate([{'$out': 'out'}]): pass
MotorCommandCursor
does not allow theexplain
option. To explain MongoDB’s query plan for the aggregation, useMotorDatabase.command()
:async def f(): plan = await db.command( 'aggregate', 'COLLECTION-NAME', pipeline=[{'$project': {'x': 1}}], explain=True) print(plan)
Changed in version 2.1: This collection’s read concern is now applied to pipelines containing the $out stage when connected to MongoDB >= 4.2.
Changed in version 1.0:
aggregate()
now always returns a cursor.Changed in version 0.5:
aggregate()
now returns a cursor by default, and the cursor is returned immediately without anawait
. See aggregation changes in Motor 0.5.Changed in version 0.2: Added cursor support.
- aggregate_raw_batches(pipeline, **kwargs)¶
Perform an aggregation and retrieve batches of raw BSON.
Similar to the
aggregate()
method but returns each batch as bytes.This example demonstrates how to work with raw batches, but in practice raw batches should be passed to an external library that can decode BSON into another data type, rather than used with PyMongo’s
bson
module.async def get_raw(): cursor = db.test.aggregate_raw_batches() async for batch in cursor: print(bson.decode_all(batch))
Note that
aggregate_raw_batches
does not support sessions.New in version 2.0.
- coroutine bulk_write(requests: Sequence[Union[pymongo.operations.InsertOne[pymongo.typings._DocumentType], pymongo.operations.DeleteOne, pymongo.operations.DeleteMany, pymongo.operations.ReplaceOne[pymongo.typings._DocumentType], pymongo.operations.UpdateOne, pymongo.operations.UpdateMany]], ordered: bool = True, bypass_document_validation: bool = False, session: Optional[ClientSession] = None, comment: Optional[Any] = None, let: Optional[Mapping] = None) pymongo.results.BulkWriteResult ¶
Send a batch of write operations to the server.
Requests are passed as a list of write operation instances imported from
pymongo
:InsertOne
,UpdateOne
,UpdateMany
,ReplaceOne
,DeleteOne
, orDeleteMany
).For example, say we have these documents:
{'x': 1, '_id': ObjectId('54f62e60fba5226811f634ef')} {'x': 1, '_id': ObjectId('54f62e60fba5226811f634f0')}
We can insert a document, delete one, and replace one like so:
# DeleteMany, UpdateOne, and UpdateMany are also available. from pymongo import InsertOne, DeleteOne, ReplaceOne async def modify_data(): requests = [InsertOne({'y': 1}), DeleteOne({'x': 1}), ReplaceOne({'w': 1}, {'z': 1}, upsert=True)] result = await db.test.bulk_write(requests) print("inserted %d, deleted %d, modified %d" % ( result.inserted_count, result.deleted_count, result.modified_count)) print("upserted_ids: %s" % result.upserted_ids) print("collection:") async for doc in db.test.find(): print(doc)
This will print something like:
inserted 1, deleted 1, modified 0 upserted_ids: {2: ObjectId('54f62ee28891e756a6e1abd5')} collection: {'x': 1, '_id': ObjectId('54f62e60fba5226811f634f0')} {'y': 1, '_id': ObjectId('54f62ee2fba5226811f634f1')} {'z': 1, '_id': ObjectId('54f62ee28891e756a6e1abd5')}
- Parameters
requests: A list of write operations (see examples above).
ordered (optional): If
True
(the default) requests will be performed on the server serially, in the order provided. If an error occurs all remaining operations are aborted. IfFalse
requests will be performed on the server in arbitrary order, possibly in parallel, and all operations will be attempted.bypass_document_validation: (optional) If
True
, allows the write to opt-out of document level validation. Default isFalse
.session (optional): a
ClientSession
, created withstart_session()
.comment (optional): A user-provided comment to attach to this command.
- Returns
An instance of
BulkWriteResult
.
Note
bypass_document_validation requires server version >= 3.2
Changed in version 3.0: Added comment parameter.
Changed in version 1.2: Added session parameter.
- coroutine count_documents(filter: Mapping[str, Any], session: Optional[ClientSession] = None, comment: Optional[Any] = None, **kwargs: Any) int ¶
Count the number of documents in this collection.
Note
For a fast count of the total documents in a collection see
estimated_document_count()
.The
count_documents()
method is supported in a transaction.All optional parameters should be passed as keyword arguments to this method. Valid options include:
skip (int): The number of matching documents to skip before returning results.
limit (int): The maximum number of documents to count. Must be a positive integer. If not provided, no limit is imposed.
maxTimeMS (int): The maximum amount of time to allow this operation to run, in milliseconds.
collation (optional): An instance of
Collation
.hint (string or list of tuples): The index to use. Specify either the index name as a string or the index specification as a list of tuples (e.g. [(‘a’, pymongo.ASCENDING), (‘b’, pymongo.ASCENDING)]).
The
count_documents()
method obeys theread_preference
of thisCollection
.Note
When migrating from
count()
tocount_documents()
the following query operators must be replaced:Operator
Replacement
$where
$near
$geoWithin with $center
$nearSphere
$geoWithin with $centerSphere
- Parameters
filter (required): A query document that selects which documents to count in the collection. Can be an empty document to count all documents.
session (optional): a
ClientSession
.comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): See list of options above.
- coroutine create_index(keys: Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]], session: Optional[ClientSession] = None, comment: Optional[Any] = None, **kwargs: Any) str ¶
Creates an index on this collection.
Takes either a single key or a list of (key, direction) pairs. The key(s) must be an instance of
basestring
(str
in python 3), and the direction(s) must be one of (ASCENDING
,DESCENDING
,GEO2D
,GEOHAYSTACK
,GEOSPHERE
,HASHED
,TEXT
).To create a single key ascending index on the key
'mike'
we just use a string argument:await my_collection.create_index("mike")
For a compound index on
'mike'
descending and'eliot'
ascending we need to use a list of tuples:await my_collection.create_index([("mike", pymongo.DESCENDING), ("eliot", pymongo.ASCENDING)])
All optional index creation parameters should be passed as keyword arguments to this method. For example:
await my_collection.create_index([("mike", pymongo.DESCENDING)], background=True)
Valid options include, but are not limited to:
name: custom name to use for this index - if none is given, a name will be generated.
unique: if
True
creates a uniqueness constraint on the index.background: if
True
this index should be created in the background.sparse: if
True
, omit from the index any documents that lack the indexed field.bucketSize: for use with geoHaystack indexes. Number of documents to group together within a certain proximity to a given longitude and latitude.
min: minimum value for keys in a
GEO2D
index.max: maximum value for keys in a
GEO2D
index.expireAfterSeconds: <int> Used to create an expiring (TTL) collection. MongoDB will automatically delete documents from this collection after <int> seconds. The indexed field must be a UTC datetime or the data will not expire.
partialFilterExpression: A document that specifies a filter for a partial index.
collation (optional): An instance of
Collation
.
See the MongoDB documentation for a full list of supported options by server version.
Warning
dropDups is not supported by MongoDB 3.0 or newer. The option is silently ignored by the server and unique index builds using the option will fail if a duplicate value is detected.
Note
partialFilterExpression requires server version >= 3.2
Note
The
write_concern
of this collection is automatically applied to this operation.- Parameters
keys: a single key or a list of (key, direction) pairs specifying the index to create.
session (optional): a
ClientSession
, created withstart_session()
.comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): any additional index creation options (see the above list) should be passed as keyword arguments
Returns a Future.
- coroutine create_indexes(indexes: Sequence[pymongo.operations.IndexModel], session: Optional[ClientSession] = None, comment: Optional[Any] = None, **kwargs: Any) List[str] ¶
Create one or more indexes on this collection:
from pymongo import IndexModel, ASCENDING, DESCENDING async def create_two_indexes(): index1 = IndexModel([("hello", DESCENDING), ("world", ASCENDING)], name="hello_world") index2 = IndexModel([("goodbye", DESCENDING)]) print(await db.test.create_indexes([index1, index2]))
This prints:
['hello_world', 'goodbye_-1']
- Parameters
indexes: A list of
IndexModel
instances.session (optional): a
ClientSession
, created withstart_session()
.comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): optional arguments to the createIndexes command (like maxTimeMS) can be passed as keyword arguments.
The
write_concern
of this collection is automatically applied to this operation.Changed in version 3.0: Added comment parameter.
Changed in version 1.2: Added session parameter.
- coroutine delete_many(filter: Mapping[str, Any], collation: Optional[Union[Mapping[str, Any], Collation]] = None, hint: Optional[Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]]] = None, session: Optional[ClientSession] = None, let: Optional[Mapping[str, Any]] = None, comment: Optional[Any] = None) pymongo.results.DeleteResult ¶
Delete one or more documents matching the filter.
If we have a collection with 3 documents like
{'x': 1}
, then:async def clear_collection(): result = await db.test.delete_many({'x': 1}) print(result.deleted_count)
This deletes all matching documents and prints “3”.
- Parameters
filter: A query that matches the documents to delete.
collation (optional): An instance of
Collation
.hint (optional): An index used to support the query predicate specified either by its string name, or in the same format as passed to
create_index()
(e.g.[('field', ASCENDING)]
). This option is only supported on MongoDB 4.4 and above.session (optional): a
ClientSession
, created withstart_session()
.let (optional): Map of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g. “$$var”).
comment (optional): A user-provided comment to attach to this command.
- Returns
An instance of
DeleteResult
.
Changed in version 3.0: Added
let
andcomment
parameters.Changed in version 2.2: Added
hint
parameter.Changed in version 1.2: Added
session
parameter.
- coroutine delete_one(filter: Mapping[str, Any], collation: Optional[Union[Mapping[str, Any], Collation]] = None, hint: Optional[Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]]] = None, session: Optional[ClientSession] = None, let: Optional[Mapping[str, Any]] = None, comment: Optional[Any] = None) pymongo.results.DeleteResult ¶
Delete a single document matching the filter.
If we have a collection with 3 documents like
{'x': 1}
, then:async def clear_collection(): result = await db.test.delete_one({'x': 1}) print(result.deleted_count)
This deletes one matching document and prints “1”.
- Parameters
filter: A query that matches the document to delete.
collation (optional): An instance of
Collation
.hint (optional): An index used to support the query predicate specified either by its string name, or in the same format as passed to
create_index()
(e.g.[('field', ASCENDING)]
). This option is only supported on MongoDB 4.4 and above.session (optional): a
ClientSession
, created withstart_session()
.let (optional): Map of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g. “$$var”).
comment (optional): A user-provided comment to attach to this command.
- Returns
An instance of
DeleteResult
.
Changed in version 3.0: Added
let
andcomment
parameters.Changed in version 2.2: Added
hint
parameter.Changed in version 1.2: Added
session
parameter.
- coroutine distinct(key: str, filter: Optional[Mapping[str, Any]] = None, session: Optional[ClientSession] = None, comment: Optional[Any] = None, **kwargs: Any) List ¶
Get a list of distinct values for key among all documents in this collection.
Raises
TypeError
if key is not an instance ofbasestring
(str
in python 3).All optional distinct parameters should be passed as keyword arguments to this method. Valid options include:
maxTimeMS (int): The maximum amount of time to allow the count command to run, in milliseconds.
collation (optional): An instance of
Collation
.
The
distinct()
method obeys theread_preference
of thisCollection
.- Parameters
key: name of the field for which we want to get the distinct values
filter (optional): A query document that specifies the documents from which to retrieve the distinct values.
session (optional): a
ClientSession
.comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): See list of options above.
- coroutine drop(session: Optional[ClientSession] = None, comment: Optional[Any] = None, encrypted_fields: Optional[Mapping[str, Any]] = None) None ¶
Alias for
drop_collection
.The following two calls are equivalent:
await db.foo.drop() await db.drop_collection("foo")
- coroutine drop_index(index_or_name: Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]], session: Optional[ClientSession] = None, comment: Optional[Any] = None, **kwargs: Any) None ¶
Drops the specified index on this collection.
Can be used on non-existant collections or collections with no indexes. Raises OperationFailure on an error (e.g. trying to drop an index that does not exist). index_or_name can be either an index name (as returned by create_index), or an index specifier (as passed to create_index). An index specifier should be a list of (key, direction) pairs. Raises TypeError if index is not an instance of (str, unicode, list).
Warning
if a custom name was used on index creation (by passing the name parameter to
create_index()
) the index must be dropped by name.- Parameters
index_or_name: index (or name of index) to drop
session (optional): a
ClientSession
.comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): optional arguments to the createIndexes command (like maxTimeMS) can be passed as keyword arguments.
Note
The
write_concern
of this collection is automatically applied to this operation.
- coroutine drop_indexes(session: Optional[ClientSession] = None, comment: Optional[Any] = None, **kwargs: Any) None ¶
Drops all indexes on this collection.
Can be used on non-existant collections or collections with no indexes. Raises OperationFailure on an error.
- Parameters
session (optional): a
ClientSession
. argumentscomment (optional): A user-provided comment to attach to this command.
**kwargs (optional): optional arguments to the createIndexes command (like maxTimeMS) can be passed as keyword arguments.
Note
The
write_concern
of this collection is automatically applied to this operation.
- coroutine estimated_document_count(comment: Optional[Any] = None, **kwargs: Any) int ¶
Get an estimate of the number of documents in this collection using collection metadata.
The
estimated_document_count()
method is not supported in a transaction.All optional parameters should be passed as keyword arguments to this method. Valid options include:
maxTimeMS (int): The maximum amount of time to allow this operation to run, in milliseconds.
- Parameters
comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): See list of options above.
- find(*args, **kwargs)¶
Create a
MotorCursor
. Same parameters as for PyMongo’sfind()
.Note that
find
does not require anawait
expression, becausefind
merely creates aMotorCursor
without performing any operations on the server.MotorCursor
methods such asto_list()
perform actual operations.
- coroutine find_one(filter: Optional[Any] = None, *args: Any, **kwargs: Any) Optional[pymongo.typings._DocumentType] ¶
Get a single document from the database.
All arguments to
find()
are also valid arguments forfind_one()
, although any limit argument will be ignored. Returns a single document, orNone
if no matching document is found.The
find_one()
method obeys theread_preference
of this Motor collection instance.- Parameters
filter (optional): a dictionary specifying the query to be performed OR any other type to be used as the value for a query for
"_id"
.*args (optional): any additional positional arguments are the same as the arguments to
find()
.**kwargs (optional): any additional keyword arguments are the same as the arguments to
find()
.max_time_ms (optional): a value for max_time_ms may be specified as part of **kwargs, e.g.:
await collection.find_one(max_time_ms=100)
Changed in version 1.2: Added session parameter.
- coroutine find_one_and_delete(filter: Mapping[str, Any], projection: Optional[Union[Mapping[str, Any], Iterable[str]]] = None, sort: Optional[Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]] = None, hint: Optional[Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]]] = None, session: Optional[ClientSession] = None, let: Optional[Mapping[str, Any]] = None, comment: Optional[Any] = None, **kwargs: Any) pymongo.typings._DocumentType ¶
Finds a single document and deletes it, returning the document.
If we have a collection with 2 documents like
{'x': 1}
, then this code retrieves and deletes one of them:async def delete_one_document(): print(await db.test.count_documents({'x': 1})) doc = await db.test.find_one_and_delete({'x': 1}) print(doc) print(await db.test.count_documents({'x': 1}))
This outputs something like:
2 {'x': 1, '_id': ObjectId('54f4e12bfba5220aa4d6dee8')} 1
If multiple documents match filter, a sort can be applied. Say we have 3 documents like:
{'x': 1, '_id': 0} {'x': 1, '_id': 1} {'x': 1, '_id': 2}
This code retrieves and deletes the document with the largest
_id
:async def delete_with_largest_id(): doc = await db.test.find_one_and_delete( {'x': 1}, sort=[('_id', pymongo.DESCENDING)])
This deletes one document and prints it:
{'x': 1, '_id': 2}
The projection option can be used to limit the fields returned:
async def delete_and_return_x(): db.test.find_one_and_delete({'x': 1}, projection={'_id': False})
This prints:
{'x': 1}
- Parameters
filter: A query that matches the document to delete.
projection (optional): a list of field names that should be returned in the result document or a mapping specifying the fields to include or exclude. If projection is a list “_id” will always be returned. Use a mapping to exclude fields from the result (e.g. projection={‘_id’: False}).
sort (optional): a list of (key, direction) pairs specifying the sort order for the query. If multiple documents match the query, they are sorted and the first is deleted.
hint (optional): An index used to support the query predicate specified either by its string name, or in the same format as passed to
create_index()
(e.g.[('field', ASCENDING)]
). This option is only supported on MongoDB 4.4 and above.session (optional): a
ClientSession
, created withstart_session()
.let (optional): Map of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g. “$$var”).
comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): additional command arguments can be passed as keyword arguments (for example maxTimeMS can be used with recent server versions).
This command uses the
WriteConcern
of thisCollection
when connected to MongoDB >= 3.2. Note that using an elevated write concern with this command may be slower compared to using the default write concern.Changed in version 3.0: Added
let
andcomment
parameters.Changed in version 2.2: Added
hint
parameter.Changed in version 1.2: Added
session
parameter.
- coroutine find_one_and_replace(filter: Mapping[str, Any], replacement: Mapping[str, Any], projection: Optional[Union[Mapping[str, Any], Iterable[str]]] = None, sort: Optional[Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]] = None, upsert: bool = False, return_document: bool = False, hint: Optional[Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]]] = None, session: Optional[ClientSession] = None, let: Optional[Mapping[str, Any]] = None, comment: Optional[Any] = None, **kwargs: Any) pymongo.typings._DocumentType ¶
Finds a single document and replaces it, returning either the original or the replaced document.
The
find_one_and_replace()
method differs fromfind_one_and_update()
by replacing the document matched by filter, rather than modifying the existing document.Say we have 3 documents like:
{'x': 1, '_id': 0} {'x': 1, '_id': 1} {'x': 1, '_id': 2}
Replace one of them like so:
async def replace_one_doc(): original_doc = await db.test.find_one_and_replace({'x': 1}, {'y': 1}) print("original: %s" % original_doc) print("collection:") async for doc in db.test.find(): print(doc)
This will print:
original: {'x': 1, '_id': 0} collection: {'y': 1, '_id': 0} {'x': 1, '_id': 1} {'x': 1, '_id': 2}
- Parameters
filter: A query that matches the document to replace.
replacement: The replacement document.
projection (optional): A list of field names that should be returned in the result document or a mapping specifying the fields to include or exclude. If projection is a list “_id” will always be returned. Use a mapping to exclude fields from the result (e.g. projection={‘_id’: False}).
sort (optional): a list of (key, direction) pairs specifying the sort order for the query. If multiple documents match the query, they are sorted and the first is replaced.
upsert (optional): When
True
, inserts a new document if no document matches the query. Defaults toFalse
.return_document: If
ReturnDocument.BEFORE
(the default), returns the original document before it was replaced, orNone
if no document matches. IfReturnDocument.AFTER
, returns the replaced or inserted document.hint (optional): An index to use to support the query predicate specified either by its string name, or in the same format as passed to
create_index()
(e.g.[('field', ASCENDING)]
). This option is only supported on MongoDB 4.4 and above.session (optional): a
ClientSession
, created withstart_session()
.let (optional): Map of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g. “$$var”).
comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): additional command arguments can be passed as keyword arguments (for example maxTimeMS can be used with recent server versions).
This command uses the
WriteConcern
of thisCollection
when connected to MongoDB >= 3.2. Note that using an elevated write concern with this command may be slower compared to using the default write concern.Changed in version 3.0: Added
let
andcomment
parameters.Changed in version 2.2: Added
hint
parameter.Changed in version 1.2: Added
session
parameter.
- coroutine find_one_and_update(filter: Mapping[str, Any], update: Union[Mapping[str, Any], Sequence[Mapping[str, Any]]], projection: Optional[Union[Mapping[str, Any], Iterable[str]]] = None, sort: Optional[Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]] = None, upsert: bool = False, return_document: bool = False, array_filters: Optional[Sequence[Mapping[str, Any]]] = None, hint: Optional[Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]]] = None, session: Optional[ClientSession] = None, let: Optional[Mapping[str, Any]] = None, comment: Optional[Any] = None, **kwargs: Any) pymongo.typings._DocumentType ¶
Finds a single document and updates it, returning either the original or the updated document. By default
find_one_and_update()
returns the original version of the document before the update was applied:async def set_done(): print(await db.test.find_one_and_update( {'_id': 665}, {'$inc': {'count': 1}, '$set': {'done': True}}))
This outputs:
{'_id': 665, 'done': False, 'count': 25}}
To return the updated version of the document instead, use the return_document option.
from pymongo import ReturnDocument async def increment_by_userid(): print(await db.example.find_one_and_update( {'_id': 'userid'}, {'$inc': {'seq': 1}}, return_document=ReturnDocument.AFTER))
This prints:
{'_id': 'userid', 'seq': 1}
You can limit the fields returned with the projection option.
async def increment_by_userid(): print(await db.example.find_one_and_update( {'_id': 'userid'}, {'$inc': {'seq': 1}}, projection={'seq': True, '_id': False}, return_document=ReturnDocument.AFTER))
This results in:
{'seq': 2}
The upsert option can be used to create the document if it doesn’t already exist.
async def increment_by_userid(): print(await db.example.find_one_and_update( {'_id': 'userid'}, {'$inc': {'seq': 1}}, projection={'seq': True, '_id': False}, upsert=True, return_document=ReturnDocument.AFTER))
The result:
{'seq': 1}
If multiple documents match filter, a sort can be applied. Say we have these two documents:
{'_id': 665, 'done': True, 'result': {'count': 26}} {'_id': 701, 'done': True, 'result': {'count': 17}}
Then to update the one with the great
_id
:async def set_done(): print(await db.test.find_one_and_update( {'done': True}, {'$set': {'final': True}}, sort=[('_id', pymongo.DESCENDING)]))
This would print:
{'_id': 701, 'done': True, 'result': {'count': 17}}
- Parameters
filter: A query that matches the document to update.
update: The update operations to apply.
projection (optional): A list of field names that should be returned in the result document or a mapping specifying the fields to include or exclude. If projection is a list “_id” will always be returned. Use a dict to exclude fields from the result (e.g. projection={‘_id’: False}).
sort (optional): a list of (key, direction) pairs specifying the sort order for the query. If multiple documents match the query, they are sorted and the first is updated.
upsert (optional): When
True
, inserts a new document if no document matches the query. Defaults toFalse
.return_document: If
ReturnDocument.BEFORE
(the default), returns the original document before it was updated, orNone
if no document matches. IfReturnDocument.AFTER
, returns the updated or inserted document.array_filters (optional): A list of filters specifying which array elements an update should apply. Requires MongoDB 3.6+.
hint (optional): An index to use to support the query predicate specified either by its string name, or in the same format as passed to
create_index()
(e.g.[('field', ASCENDING)]
). This option is only supported on MongoDB 4.4 and above.session (optional): a
ClientSession
, created withstart_session()
.let (optional): Map of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g. “$$var”).
comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): additional command arguments can be passed as keyword arguments (for example maxTimeMS can be used with recent server versions).
This command uses the
WriteConcern
of thisCollection
when connected to MongoDB >= 3.2. Note that using an elevated write concern with this command may be slower compared to using the default write concern.Changed in version 3.0: Added
let
andcomment
parameters.Changed in version 2.2: Added
hint
parameter.Changed in version 1.2: Added
array_filters
andsession
parameters.
- find_raw_batches(*args, **kwargs)¶
Query the database and retrieve batches of raw BSON.
Similar to the
find()
method but returns each batch as bytes.This example demonstrates how to work with raw batches, but in practice raw batches should be passed to an external library that can decode BSON into another data type, rather than used with PyMongo’s
bson
module.async def get_raw(): cursor = db.test.find_raw_batches() async for batch in cursor: print(bson.decode_all(batch))
Note that
find_raw_batches
does not support sessions.New in version 2.0.
- coroutine index_information(session: Optional[ClientSession] = None, comment: Optional[Any] = None) MutableMapping[str, Any] ¶
Get information on this collection’s indexes.
Returns a dictionary where the keys are index names (as returned by create_index()) and the values are dictionaries containing information about each index. The dictionary is guaranteed to contain at least a single key,
"key"
which is a list of (key, direction) pairs specifying the index (as passed to create_index()). It will also contain any other metadata about the indexes, except for the"ns"
and"name"
keys, which are cleaned. For example:async def create_x_index(): print(await db.test.create_index("x", unique=True)) print(await db.test.index_information())
This prints:
'x_1' {'_id_': {'key': [('_id', 1)]}, 'x_1': {'unique': True, 'key': [('x', 1)]}}
Changed in version 3.0: Added comment parameter.
Changed in version 1.2: Added session parameter.
- coroutine insert_many(documents: Iterable[Union[pymongo.typings._DocumentType, bson.raw_bson.RawBSONDocument]], ordered: bool = True, bypass_document_validation: bool = False, session: Optional[ClientSession] = None, comment: Optional[Any] = None) pymongo.results.InsertManyResult ¶
Insert an iterable of documents.
async def insert_2_docs(): result = db.test.insert_many([{'x': i} for i in range(2)]) result.inserted_ids
This prints something like:
[ObjectId('54f113fffba522406c9cc20e'), ObjectId('54f113fffba522406c9cc20f')]
- Parameters
documents: A iterable of documents to insert.
ordered (optional): If
True
(the default) documents will be inserted on the server serially, in the order provided. If an error occurs all remaining inserts are aborted. IfFalse
, documents will be inserted on the server in arbitrary order, possibly in parallel, and all document inserts will be attempted.bypass_document_validation: (optional) If
True
, allows the write to opt-out of document level validation. Default isFalse
.session (optional): a
ClientSession
, created withstart_session()
.comment (optional): A user-provided comment to attach to this command.
- Returns
An instance of
InsertManyResult
.
Note
bypass_document_validation requires server version >= 3.2
Changed in version 3.0: Added comment parameter.
Changed in version 1.2: Added session parameter.
- coroutine insert_one(document: Union[pymongo.typings._DocumentType, bson.raw_bson.RawBSONDocument], bypass_document_validation: bool = False, session: Optional[ClientSession] = None, comment: Optional[Any] = None) pymongo.results.InsertOneResult ¶
Insert a single document.
async def insert_x(): result = await db.test.insert_one({'x': 1}) print(result.inserted_id)
This code outputs the new document’s
_id
:ObjectId('54f112defba522406c9cc208')
- Parameters
document: The document to insert. Must be a mutable mapping type. If the document does not have an _id field one will be added automatically.
bypass_document_validation: (optional) If
True
, allows the write to opt-out of document level validation. Default isFalse
.session (optional): a
ClientSession
, created withstart_session()
.comment (optional): A user-provided comment to attach to this command.
- Returns
An instance of
InsertOneResult
.
Note
bypass_document_validation requires server version >= 3.2
Changed in version 3.0: Added comment parameter.
Changed in version 1.2: Added session parameter.
- list_indexes(session=None, **kwargs)¶
Get a cursor over the index documents for this collection.
async def print_indexes(): async for index in db.test.list_indexes(): print(index)
If the only index is the default index on
_id
, this might print:SON([('v', 1), ('key', SON([('_id', 1)])), ('name', '_id_')])
- coroutine options(session: Optional[ClientSession] = None, comment: Optional[Any] = None) MutableMapping[str, Any] ¶
Get the options set on this collection.
Returns a dictionary of options and their values - see
create_collection()
for more information on the possible options. Returns an empty dictionary if the collection has not been created yet.- Parameters
session (optional): a
ClientSession
.comment (optional): A user-provided comment to attach to this command.
- coroutine rename(new_name: str, session: Optional[ClientSession] = None, comment: Optional[Any] = None, **kwargs: Any) MutableMapping[str, Any] ¶
Rename this collection.
If operating in auth mode, client must be authorized as an admin to perform this operation. Raises
TypeError
if new_name is not an instance ofbasestring
(str
in python 3). RaisesInvalidName
if new_name is not a valid collection name.- Parameters
new_name: new name for this collection
session (optional): a
ClientSession
.comment (optional): A user-provided comment to attach to this command.
**kwargs (optional): additional arguments to the rename command may be passed as keyword arguments to this helper method (i.e.
dropTarget=True
)
Note
The
write_concern
of this collection is automatically applied to this operation.
- coroutine replace_one(filter: Mapping[str, Any], replacement: Mapping[str, Any], upsert: bool = False, bypass_document_validation: bool = False, collation: Optional[Union[Mapping[str, Any], Collation]] = None, hint: Optional[Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]]] = None, session: Optional[ClientSession] = None, let: Optional[Mapping[str, Any]] = None, comment: Optional[Any] = None) pymongo.results.UpdateResult ¶
Replace a single document matching the filter.
Say our collection has one document:
{'x': 1, '_id': ObjectId('54f4c5befba5220aa4d6dee7')}
Then to replace it with another:
async def_replace_x_with_y(): result = await db.test.replace_one({'x': 1}, {'y': 1}) print('matched %d, modified %d' % (result.matched_count, result.modified_count)) print('collection:') async for doc in db.test.find(): print(doc)
This prints:
matched 1, modified 1 collection: {'y': 1, '_id': ObjectId('54f4c5befba5220aa4d6dee7')}
The upsert option can be used to insert a new document if a matching document does not exist:
async def_replace_or_upsert(): result = await db.test.replace_one({'x': 1}, {'x': 1}, True) print('matched %d, modified %d, upserted_id %r' % (result.matched_count, result.modified_count, result.upserted_id)) print('collection:') async for doc in db.test.find(): print(doc)
This prints:
matched 1, modified 1, upserted_id ObjectId('54f11e5c8891e756a6e1abd4') collection: {'y': 1, '_id': ObjectId('54f4c5befba5220aa4d6dee7')}
- Parameters
filter: A query that matches the document to replace.
replacement: The new document.
upsert (optional): If
True
, perform an insert if no documents match the filter.bypass_document_validation: (optional) If
True
, allows the write to opt-out of document level validation. Default isFalse
.collation (optional): An instance of
Collation
.hint (optional): An index to use to support the query predicate specified either by its string name, or in the same format as passed to
create_index()
(e.g.[('field', ASCENDING)]
). This option is only supported on MongoDB 4.2 and above.session (optional): a
ClientSession
, created withstart_session()
.let (optional): Map of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g. “$$var”).
comment (optional): A user-provided comment to attach to this command.
- Returns
An instance of
UpdateResult
.
Note
bypass_document_validation requires server version >= 3.2
Changed in version 3.0: Added
let
andcomment
parameters.Changed in version 2.2: Added
hint
parameter.Changed in version 1.2: Added
session
parameter.
- coroutine update_many(filter: Mapping[str, Any], update: Union[Mapping[str, Any], Sequence[Mapping[str, Any]]], upsert: bool = False, array_filters: Optional[Sequence[Mapping[str, Any]]] = None, bypass_document_validation: Optional[bool] = None, collation: Optional[Union[Mapping[str, Any], Collation]] = None, hint: Optional[Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]]] = None, session: Optional[ClientSession] = None, let: Optional[Mapping[str, Any]] = None, comment: Optional[Any] = None) pymongo.results.UpdateResult ¶
Update one or more documents that match the filter.
Say our collection has 3 documents:
{'x': 1, '_id': 0} {'x': 1, '_id': 1} {'x': 1, '_id': 2}
We can add 3 to each “x” field:
async def add_3_to_x(): result = await db.test.update_many({'x': 1}, {'$inc': {'x': 3}}) print('matched %d, modified %d' % (result.matched_count, result.modified_count)) print('collection:') async for doc in db.test.find(): print(doc)
This prints:
matched 3, modified 3 collection: {'x': 4, '_id': 0} {'x': 4, '_id': 1} {'x': 4, '_id': 2}
- Parameters
filter: A query that matches the documents to update.
update: The modifications to apply.
upsert (optional): If
True
, perform an insert if no documents match the filter.bypass_document_validation (optional): If
True
, allows the write to opt-out of document level validation. Default isFalse
.collation (optional): An instance of
Collation
.array_filters (optional): A list of filters specifying which array elements an update should apply. Requires MongoDB 3.6+.
hint (optional): An index to use to support the query predicate specified either by its string name, or in the same format as passed to
create_index()
(e.g.[('field', ASCENDING)]
). This option is only supported on MongoDB 4.2 and above.session (optional): a
ClientSession
, created withstart_session()
.let (optional): Map of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g. “$$var”).
comment (optional): A user-provided comment to attach to this command.
- Returns
An instance of
UpdateResult
.
Note
bypass_document_validation requires server version >= 3.2
Changed in version 3.0: Added
let
andcomment
parameters.Changed in version 2.2: Added
hint
parameter.Changed in version 1.2: Added
array_filters
andsession
parameters.
- coroutine update_one(filter: Mapping[str, Any], update: Union[Mapping[str, Any], Sequence[Mapping[str, Any]]], upsert: bool = False, bypass_document_validation: bool = False, collation: Optional[Union[Mapping[str, Any], Collation]] = None, array_filters: Optional[Sequence[Mapping[str, Any]]] = None, hint: Optional[Union[str, Sequence[Tuple[str, Union[int, str, Mapping[str, Any]]]]]] = None, session: Optional[ClientSession] = None, let: Optional[Mapping[str, Any]] = None, comment: Optional[Any] = None) pymongo.results.UpdateResult ¶
Update a single document matching the filter.
Say our collection has 3 documents:
{'x': 1, '_id': 0} {'x': 1, '_id': 1} {'x': 1, '_id': 2}
We can add 3 to the “x” field of one of the documents:
async def add_3_to_x(): result = await db.test.update_one({'x': 1}, {'$inc': {'x': 3}}) print('matched %d, modified %d' % (result.matched_count, result.modified_count)) print('collection:') async for doc in db.test.find(): print(doc)
This prints:
matched 1, modified 1 collection: {'x': 4, '_id': 0} {'x': 1, '_id': 1} {'x': 1, '_id': 2}
- Parameters
filter: A query that matches the document to update.
update: The modifications to apply.
upsert (optional): If
True
, perform an insert if no documents match the filter.bypass_document_validation: (optional) If
True
, allows the write to opt-out of document level validation. Default isFalse
.collation (optional): An instance of
Collation
.array_filters (optional): A list of filters specifying which array elements an update should apply. Requires MongoDB 3.6+.
hint (optional): An index to use to support the query predicate specified either by its string name, or in the same format as passed to
create_index()
(e.g.[('field', ASCENDING)]
). This option is only supported on MongoDB 4.2 and above.session (optional): a
ClientSession
, created withstart_session()
.let (optional): Map of parameter names and values. Values must be constant or closed expressions that do not reference document fields. Parameters can then be accessed as variables in an aggregate expression context (e.g. “$$var”).
comment (optional): A user-provided comment to attach to this command.
- Returns
An instance of
UpdateResult
.
Note
bypass_document_validation requires server version >= 3.2
Changed in version 3.0: Added
let
andcomment
parameters.Changed in version 2.2: Added
hint
parameter.Changed in version 1.2: Added
array_filters
andsession
parameters.
- watch(pipeline=None, full_document=None, resume_after=None, max_await_time_ms=None, batch_size=None, collation=None, start_at_operation_time=None, session=None, start_after=None, comment=None, full_document_before_change=None)¶
Watch changes on this collection.
Performs an aggregation with an implicit initial
$changeStream
stage and returns aMotorChangeStream
cursor which iterates over changes on this collection.Introduced in MongoDB 3.6.
A change stream continues waiting indefinitely for matching change events. Code like the following allows a program to cancel the change stream and exit.
change_stream = None async def watch_collection(): global change_stream # Using the change stream in an "async with" block # ensures it is canceled promptly if your code breaks # from the loop or throws an exception. async with db.collection.watch() as change_stream: async for change in change_stream: print(change) # Tornado from tornado.ioloop import IOLoop def main(): loop = IOLoop.current() # Start watching collection for changes. try: loop.run_sync(watch_collection) except KeyboardInterrupt: if change_stream: loop.run_sync(change_stream.close) # asyncio try: asyncio.run(watch_collection()) except KeyboardInterrupt: pass
The
MotorChangeStream
async iterable blocks until the next change document is returned or an error is raised. If thenext()
method encounters a network error when retrieving a batch from the server, it will automatically attempt to recreate the cursor such that no change events are missed. Any error encountered during the resume attempt indicates there may be an outage and will be raised.try: pipeline = [{'$match': {'operationType': 'insert'}}] async with db.collection.watch(pipeline) as stream: async for change in stream: print(change) except pymongo.errors.PyMongoError: # The ChangeStream encountered an unrecoverable error or the # resume attempt failed to recreate the cursor. logging.error('...')
For a precise description of the resume process see the change streams specification.
- Parameters
pipeline (optional): A list of aggregation pipeline stages to append to an initial
$changeStream
stage. Not all pipeline stages are valid after a$changeStream
stage, see the MongoDB documentation on change streams for the supported stages.full_document (optional): The fullDocument option to pass to the
$changeStream
stage. Allowed values: ‘updateLookup’. When set to ‘updateLookup’, the change notification for partial updates will include both a delta describing the changes to the document, as well as a copy of the entire document that was changed from some time after the change occurred.resume_after (optional): A resume token. If provided, the change stream will start returning changes that occur directly after the operation specified in the resume token. A resume token is the _id value of a change document.
max_await_time_ms (optional): The maximum time in milliseconds for the server to wait for changes before responding to a getMore operation.
batch_size (optional): The maximum number of documents to return per batch.
collation (optional): The
Collation
to use for the aggregation.session (optional): a
ClientSession
.start_after (optional): The same as resume_after except that start_after can resume notifications after an invalidate event. This option and resume_after are mutually exclusive.
comment (optional): A user-provided comment to attach to this command.
- full_document_before_change: Allowed values: whenAvailable and required. Change events
may now result in a fullDocumentBeforeChange response field.
- Returns
See the Tornado Change Stream Example.
Changed in version 3.1: Added
full_document_before_change
parameter.Changed in version 3.0: Added
comment
parameter.Changed in version 2.1: Added the
start_after
parameter.New in version 1.2.
- with_options(codec_options: Optional[bson.codec_options.CodecOptions] = None, read_preference: Optional[pymongo.read_preferences._ServerMode] = None, write_concern: Optional[pymongo.write_concern.WriteConcern] = None, read_concern: Optional[ReadConcern] = None) Collection[_DocumentType] ¶
Get a clone of this collection changing the specified settings.
>>> coll1.read_preference Primary() >>> from pymongo import ReadPreference >>> coll2 = coll1.with_options(read_preference=ReadPreference.SECONDARY) >>> coll1.read_preference Primary() >>> coll2.read_preference Secondary(tag_sets=None)
- Parameters
codec_options (optional): An instance of
CodecOptions
. IfNone
(the default) thecodec_options
of thisCollection
is used.read_preference (optional): The read preference to use. If
None
(the default) theread_preference
of thisCollection
is used. Seeread_preferences
for options.write_concern (optional): An instance of
WriteConcern
. IfNone
(the default) thewrite_concern
of thisCollection
is used.read_concern (optional): An instance of
ReadConcern
. IfNone
(the default) theread_concern
of thisCollection
is used.
- property codec_options¶
Read only access to the
CodecOptions
of this instance.
- property full_name¶
The full name of this
Collection
.The full name is of the form database_name.collection_name.
- property name¶
The name of this
Collection
.
- property read_concern¶
Read only access to the
ReadConcern
of this instance.New in version 3.2.
- property read_preference¶
Read only access to the read preference of this instance.
Changed in version 3.0: The
read_preference
attribute is now read only.
- property write_concern¶
Read only access to the
WriteConcern
of this instance.Changed in version 3.0: The
write_concern
attribute is now read only.