Client#
Client for interacting with the Google Cloud Firestore API.
This is the base from which all interactions with the API occur.
In the hierarchy of API concepts
- a
Clientowns aCollectionReference - a
Clientowns aDocumentReference
-
class
google.cloud.firestore_v1.client.Client(project=None, credentials=None, database='(default)', client_info=<google.api_core.gapic_v1.client_info.ClientInfo object>)[source]# Bases:
google.cloud.client.ClientWithProjectClient for interacting with Google Cloud Firestore API.
Note
Since the Cloud Firestore API requires the gRPC transport, no
_httpargument is accepted by this class.Parameters: - project (Optional[str]) – The project which the client acts on behalf of. If not passed, falls back to the default inferred from the environment.
- credentials (Optional[Credentials]) – The OAuth2 Credentials to use for this client. If not passed, falls back to the default inferred from the environment.
- database (Optional[str]) – The database name that the client targets.
For now,
DEFAULT_DATABASE(the default value) is the only valid database. - client_info (Optional[google.api_core.gapic_v1.client_info.ClientInfo]) – The client info used to send a user-agent string along with API
requests. If
None, then default info will be used. Generally, you only need to set this if you’re developing your own library or partner tool.
-
SCOPE= ('https://www.googleapis.com/auth/cloud-platform', 'https://www.googleapis.com/auth/datastore')# The scopes required for authenticating with the Firestore service.
-
batch()[source]# Get a batch instance from this client.
Returns: A “write” batch to be used for accumulating document changes and sending the changes all at once. Return type: WriteBatch
-
collection(*collection_path)[source]# Get a reference to a collection.
For a top-level collection:
>>> client.collection('top')
For a sub-collection:
>>> client.collection('mydocs/doc/subcol') >>> # is the same as >>> client.collection('mydocs', 'doc', 'subcol')
Sub-collections can be nested deeper in a similar fashion.
Parameters: collection_path (Tuple[str, ..]) – Can either be
- A single
/-delimited path to a collection - A tuple of collection path segments
Returns: A reference to a collection in the Firestore database. Return type: CollectionReference- A single
-
collection_group(collection_id)[source]# Creates and returns a new Query that includes all documents in the database that are contained in a collection or subcollection with the given collection_id.
>>> query = client.collection_group('mygroup')
@param {string} collectionId Identifies the collections to query over. Every collection or subcollection with this ID as the last segment of its path will be included. Cannot contain a slash. @returns {Query} The created Query.
-
collections()[source]# List top-level collections of the client’s database.
Returns: iterator of subcollections of the current document. Return type: Sequence[ CollectionReference]
-
document(*document_path)[source]# Get a reference to a document in a collection.
For a top-level document:
>>> client.document('collek/shun') >>> # is the same as >>> client.document('collek', 'shun')
For a document in a sub-collection:
>>> client.document('mydocs/doc/subcol/child') >>> # is the same as >>> client.document('mydocs', 'doc', 'subcol', 'child')
Documents in sub-collections can be nested deeper in a similar fashion.
Parameters: document_path (Tuple[str, ..]) – Can either be
- A single
/-delimited path to a document - A tuple of document path segments
Returns: A reference to a document in a collection. Return type: DocumentReference- A single
-
static
field_path(*field_names)[source]# Create a field path from a list of nested field names.
A field path is a
.-delimited concatenation of the field names. It is used to represent a nested field. For example, in the datadata = { 'aa': { 'bb': { 'cc': 10, }, }, }
the field path
'aa.bb.cc'represents the data stored indata['aa']['bb']['cc'].Parameters: field_names (Tuple[str, ..]) – The list of field names. Returns: The .-delimited field path.Return type: str
-
get_all(references, field_paths=None, transaction=None)[source]# Retrieve a batch of documents.
Note
Documents returned by this method are not guaranteed to be returned in the same order that they are given in
references.Note
If multiple
referencesrefer to the same document, the server will only return one result.See
field_path()for more information on field paths.If a
transactionis used and it already has write operations added, this method cannot be used (i.e. read-after-write is not allowed).Parameters: - references (List[DocumentReference, ..]) – Iterable of document references to be retrieved.
- field_paths (Optional[Iterable[str, ..]]) – An iterable of field
paths (
.-delimited list of field names) to use as a projection of document fields in the returned results. If no value is provided, all fields will be returned. - transaction (Optional[
Transaction]) – An existing transaction that thesereferenceswill be retrieved in.
Yields: .DocumentSnapshot – The next document snapshot that fulfills the query, or
Noneif the document does not exist.
-
transaction(**kwargs)[source]# Get a transaction that uses this client.
See
Transactionfor more information on transactions and the constructor arguments.Parameters: kwargs (Dict[str, Any]) – The keyword arguments (other than client) to pass along to theTransactionconstructor.Returns: A transaction attached to this client. Return type: Transaction
-
static
write_option(**kwargs)[source]# Create a write option for write operations.
Write operations include
set(),update()anddelete().One of the following keyword arguments must be provided:
last_update_time(google.protobuf.timestamp_pb2. Timestamp): A timestamp. When set, the target document must- exist and have been last updated at that time. Protobuf
update_timetimestamps are typically returned from methods that perform write operations as part of a “write result” protobuf or directly.
exists(bool): Indicates if the document being modified- should already exist.
Providing no argument would make the option have no effect (so it is not allowed). Providing multiple would be an apparent contradiction, since
last_update_timeassumes that the document was updated (it can’t have been updated if it doesn’t exist) andexistsindicate that it is unknown if the document exists or not.Parameters: kwargs (Dict[str, Any]) – The keyword arguments described above. Raises: TypeError– If anything other than exactly one argument is provided by the caller.Returns: The option to be used to configure a write message. Return type: WriteOption

