As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

CloudMemcache¶

class google.cloud.memcache_v1.services.cloud_memcache.CloudMemcacheAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport, typing.Callable[[...], google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

Configures and manages Cloud Memorystore for Memcached instances.

The memcache.googleapis.com service implements the Google Cloud Memorystore for Memcached API and defines the following resource model for managing Memorystore Memcached (also called Memcached below) instances:

The service works with a collection of cloud projects, named: /projects/*
Each project has a collection of available locations, named: /locations/*
Each location has a collection of Memcached instances, named: /instances/*
As such, Memcached instances are resources of the form: /projects/{project_id}/locations/{location_id}/instances/{instance_id}

Note that location_id must be a GCP region; for example:

projects/my-memcached-project/locations/us-central1/instances/my-memcached

Instantiates the cloud memcache async client.

Parameters

credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Optional[Union[str,CloudMemcacheTransport,Callable[..., CloudMemcacheTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the CloudMemcacheTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info (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 client library.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

async apply_parameters(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.ApplyParametersRequest, dict]] = None, *, name: Optional[str] = None, node_ids: Optional[MutableSequence[str]] = None, apply_all: Optional[bool] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

ApplyParameters restarts the set of specified nodes in order to update them to the current set of parameters for the Memcached Instance.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

async def sample_apply_parameters():
    # Create a client
    client = memcache_v1.CloudMemcacheAsyncClient()

    # Initialize request argument(s)
    request = memcache_v1.ApplyParametersRequest(
        name="name_value",
    )

    # Make the request
    operation = client.apply_parameters(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]]) – The request object. Request for [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters].
name (str) –
Required. Resource name of the Memcached instance for which parameter group updates should be applied.

This corresponds to the name field on the request instance; if request is provided, this should not be set.
node_ids (MutableSequence[str]) –
Nodes to which the instance-level parameter group is applied.

This corresponds to the node_ids field on the request instance; if request is provided, this should not be set.
apply_all (bool) –
Whether to apply instance-level parameter group to all nodes. If set to true, users are restricted from specifying individual nodes, and ApplyParameters updates all nodes within the instance.

This corresponds to the apply_all field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation_async.AsyncOperation

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

request (CancelOperationRequest) – The request object. Request message for CancelOperation method.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static common_billing_account_path(billing_account: str) → str¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str¶: Returns a fully-qualified project string.

async create_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.CreateInstanceRequest, dict]] = None, *, parent: Optional[str] = None, instance: Optional[google.cloud.memcache_v1.types.cloud_memcache.Instance] = None, instance_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Creates a new Instance in a given location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

async def sample_create_instance():
    # Create a client
    client = memcache_v1.CloudMemcacheAsyncClient()

    # Initialize request argument(s)
    instance = memcache_v1.Instance()
    instance.name = "name_value"
    instance.node_count = 1070
    instance.node_config.cpu_count = 976
    instance.node_config.memory_size_mb = 1505

    request = memcache_v1.CreateInstanceRequest(
        parent="parent_value",
        instance_id="instance_id_value",
        instance=instance,
    )

    # Make the request
    operation = client.create_instance(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]]) – The request object. Request for [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance].
parent (str) –
Required. The resource name of the instance location using the form: projects/{project_id}/locations/{location_id} where location_id refers to a GCP region

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
instance (google.cloud.memcache_v1.types.Instance) – Required. A Memcached Instance This corresponds to the instance field on the request instance; if request is provided, this should not be set.
instance_id (str) –
Required. The logical name of the Memcached instance in the user project with the following restrictions:
- Must contain only lowercase letters, numbers, and hyphens.
- Must start with a letter.
- Must be between 1-40 characters.
- Must end with a number or a letter.
- Must be unique within the user project / location.
If any of the above are not met, the API raises an invalid argument error.

This corresponds to the instance_id field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation_async.AsyncOperation

async delete_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.DeleteInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Deletes a single Instance.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

async def sample_delete_instance():
    # Create a client
    client = memcache_v1.CloudMemcacheAsyncClient()

    # Initialize request argument(s)
    request = memcache_v1.DeleteInstanceRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_instance(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]]) – The request object. Request for [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance].
name (str) –
Required. Memcached instance resource name in the format: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type

google.api_core.operation_async.AsyncOperation

async delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudMemcacheAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: info.

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudMemcacheAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudMemcacheAsyncClient

async get_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.GetInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.memcache_v1.types.cloud_memcache.Instance[source]¶

Gets details of a single Instance.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

async def sample_get_instance():
    # Create a client
    client = memcache_v1.CloudMemcacheAsyncClient()

    # Initialize request argument(s)
    request = memcache_v1.GetInstanceRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_instance(request=request)

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]]) – The request object. Request for [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance].
name (str) –
Required. Memcached instance resource name in the format: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A Memorystore for Memcached instance

Return type

google.cloud.memcache_v1.types.Instance

async get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (GetOperationRequest) – The request object. Request message for GetOperation method.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An Operation object.

Return type

Operation

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

static instance_path(project: str, location: str, instance: str) → str¶: Returns a fully-qualified instance string.

async list_instances(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.ListInstancesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesAsyncPager[source]¶

Lists Instances in a given location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

async def sample_list_instances():
    # Create a client
    client = memcache_v1.CloudMemcacheAsyncClient()

    # Initialize request argument(s)
    request = memcache_v1.ListInstancesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_instances(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters

request (Optional[Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]]) – The request object. Request for [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances].
parent (str) –
Required. The resource name of the instance location using the form: projects/{project_id}/locations/{location_id} where location_id refers to a GCP region

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response for [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesAsyncPager

async list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListLocations method.

Return type

ListLocationsResponse

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (ListOperationsRequest) – The request object. Request message for ListOperations method.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

static parse_instance_path(path: str) → Dict[str, str]¶: Parses a instance path into its component segments.

async reschedule_maintenance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.RescheduleMaintenanceRequest, dict]] = None, *, instance: Optional[str] = None, reschedule_type: Optional[google.cloud.memcache_v1.types.cloud_memcache.RescheduleMaintenanceRequest.RescheduleType] = None, schedule_time: Optional[google.protobuf.timestamp_pb2.Timestamp] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Reschedules upcoming maintenance event.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

async def sample_reschedule_maintenance():
    # Create a client
    client = memcache_v1.CloudMemcacheAsyncClient()

    # Initialize request argument(s)
    request = memcache_v1.RescheduleMaintenanceRequest(
        instance="instance_value",
        reschedule_type="SPECIFIC_TIME",
    )

    # Make the request
    operation = client.reschedule_maintenance(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.memcache_v1.types.RescheduleMaintenanceRequest, dict]]) – The request object. Request for [RescheduleMaintenance][google.cloud.memcache.v1.CloudMemcache.RescheduleMaintenance].
instance (str) –
Required. Memcache instance resource name using the form: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region.

This corresponds to the instance field on the request instance; if request is provided, this should not be set.
reschedule_type (google.cloud.memcache_v1.types.RescheduleMaintenanceRequest.RescheduleType) –
Required. If reschedule type is SPECIFIC_TIME, must set up schedule_time as well.

This corresponds to the reschedule_type field on the request instance; if request is provided, this should not be set.
schedule_time (google.protobuf.timestamp_pb2.Timestamp) –
Timestamp when the maintenance shall be rescheduled to if reschedule_type=SPECIFIC_TIME, in RFC 3339 format, for example 2012-11-15T16:19:00.094Z.

This corresponds to the schedule_time field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation_async.AsyncOperation

property transport: google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: CloudMemcacheTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

async update_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.UpdateInstanceRequest, dict]] = None, *, instance: Optional[google.cloud.memcache_v1.types.cloud_memcache.Instance] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Updates an existing Instance in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

async def sample_update_instance():
    # Create a client
    client = memcache_v1.CloudMemcacheAsyncClient()

    # Initialize request argument(s)
    instance = memcache_v1.Instance()
    instance.name = "name_value"
    instance.node_count = 1070
    instance.node_config.cpu_count = 976
    instance.node_config.memory_size_mb = 1505

    request = memcache_v1.UpdateInstanceRequest(
        instance=instance,
    )

    # Make the request
    operation = client.update_instance(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]]) – The request object. Request for [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance].
instance (google.cloud.memcache_v1.types.Instance) –
Required. A Memcached Instance. Only fields specified in update_mask are updated.

This corresponds to the instance field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) –
Required. Mask of fields to update.
- displayName
This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation_async.AsyncOperation

async update_parameters(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.UpdateParametersRequest, dict]] = None, *, name: Optional[str] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, parameters: Optional[google.cloud.memcache_v1.types.cloud_memcache.MemcacheParameters] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Updates the defined Memcached parameters for an existing instance. This method only stages the parameters, it must be followed by ApplyParameters to apply the parameters to nodes of the Memcached instance.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

async def sample_update_parameters():
    # Create a client
    client = memcache_v1.CloudMemcacheAsyncClient()

    # Initialize request argument(s)
    request = memcache_v1.UpdateParametersRequest(
        name="name_value",
    )

    # Make the request
    operation = client.update_parameters(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]]) – The request object. Request for [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters].
name (str) –
Required. Resource name of the Memcached instance for which the parameters should be updated.

This corresponds to the name field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) – Required. Mask of fields to update. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
parameters (google.cloud.memcache_v1.types.MemcacheParameters) –
The parameters to apply to the instance.

This corresponds to the parameters field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation_async.AsyncOperation

class google.cloud.memcache_v1.services.cloud_memcache.CloudMemcacheClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport, typing.Callable[[...], google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

Configures and manages Cloud Memorystore for Memcached instances.

The memcache.googleapis.com service implements the Google Cloud Memorystore for Memcached API and defines the following resource model for managing Memorystore Memcached (also called Memcached below) instances:

The service works with a collection of cloud projects, named: /projects/*
Each project has a collection of available locations, named: /locations/*
Each location has a collection of Memcached instances, named: /instances/*
As such, Memcached instances are resources of the form: /projects/{project_id}/locations/{location_id}/instances/{instance_id}

Note that location_id must be a GCP region; for example:

projects/my-memcached-project/locations/us-central1/instances/my-memcached

Instantiates the cloud memcache client.

Parameters

credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Optional[Union[str,CloudMemcacheTransport,Callable[..., CloudMemcacheTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the CloudMemcacheTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info (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 client library.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

apply_parameters(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.ApplyParametersRequest, dict]] = None, *, name: Optional[str] = None, node_ids: Optional[MutableSequence[str]] = None, apply_all: Optional[bool] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

ApplyParameters restarts the set of specified nodes in order to update them to the current set of parameters for the Memcached Instance.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

def sample_apply_parameters():
    # Create a client
    client = memcache_v1.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1.ApplyParametersRequest(
        name="name_value",
    )

    # Make the request
    operation = client.apply_parameters(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]) – The request object. Request for [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters].
name (str) –
Required. Resource name of the Memcached instance for which parameter group updates should be applied.

This corresponds to the name field on the request instance; if request is provided, this should not be set.
node_ids (MutableSequence[str]) –
Nodes to which the instance-level parameter group is applied.

This corresponds to the node_ids field on the request instance; if request is provided, this should not be set.
apply_all (bool) –
Whether to apply instance-level parameter group to all nodes. If set to true, users are restricted from specifying individual nodes, and ApplyParameters updates all nodes within the instance.

This corresponds to the apply_all field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation.Operation

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

request (CancelOperationRequest) – The request object. Request message for CancelOperation method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

create_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.CreateInstanceRequest, dict]] = None, *, parent: Optional[str] = None, instance: Optional[google.cloud.memcache_v1.types.cloud_memcache.Instance] = None, instance_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Creates a new Instance in a given location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

def sample_create_instance():
    # Create a client
    client = memcache_v1.CloudMemcacheClient()

    # Initialize request argument(s)
    instance = memcache_v1.Instance()
    instance.name = "name_value"
    instance.node_count = 1070
    instance.node_config.cpu_count = 976
    instance.node_config.memory_size_mb = 1505

    request = memcache_v1.CreateInstanceRequest(
        parent="parent_value",
        instance_id="instance_id_value",
        instance=instance,
    )

    # Make the request
    operation = client.create_instance(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]) – The request object. Request for [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance].
parent (str) –
Required. The resource name of the instance location using the form: projects/{project_id}/locations/{location_id} where location_id refers to a GCP region

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
instance (google.cloud.memcache_v1.types.Instance) – Required. A Memcached Instance This corresponds to the instance field on the request instance; if request is provided, this should not be set.
instance_id (str) –
Required. The logical name of the Memcached instance in the user project with the following restrictions:
- Must contain only lowercase letters, numbers, and hyphens.
- Must start with a letter.
- Must be between 1-40 characters.
- Must end with a number or a letter.
- Must be unique within the user project / location.
If any of the above are not met, the API raises an invalid argument error.

This corresponds to the instance_id field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation.Operation

delete_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.DeleteInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Deletes a single Instance.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

def sample_delete_instance():
    # Create a client
    client = memcache_v1.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1.DeleteInstanceRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_instance(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]) – The request object. Request for [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance].
name (str) –
Required. Memcached instance resource name in the format: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type

google.api_core.operation.Operation

delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudMemcacheClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: info.

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudMemcacheClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudMemcacheClient

get_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.GetInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.memcache_v1.types.cloud_memcache.Instance[source]¶

Gets details of a single Instance.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

def sample_get_instance():
    # Create a client
    client = memcache_v1.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1.GetInstanceRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_instance(request=request)

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]) – The request object. Request for [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance].
name (str) –
Required. Memcached instance resource name in the format: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A Memorystore for Memcached instance

Return type

google.cloud.memcache_v1.types.Instance

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (GetOperationRequest) – The request object. Request message for GetOperation method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An Operation object.

Return type

Operation

static instance_path(project: str, location: str, instance: str) → str[source]¶: Returns a fully-qualified instance string.

list_instances(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.ListInstancesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesPager[source]¶

Lists Instances in a given location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

def sample_list_instances():
    # Create a client
    client = memcache_v1.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1.ListInstancesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_instances(request=request)

    # Handle the response
    for response in page_result:
        print(response)

Parameters

request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]) – The request object. Request for [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances].
parent (str) –
Required. The resource name of the instance location using the form: projects/{project_id}/locations/{location_id} where location_id refers to a GCP region

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response for [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesPager

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListLocations method.

Return type

ListLocationsResponse

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (ListOperationsRequest) – The request object. Request message for ListOperations method.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

static parse_instance_path(path: str) → Dict[str, str][source]¶: Parses a instance path into its component segments.

reschedule_maintenance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.RescheduleMaintenanceRequest, dict]] = None, *, instance: Optional[str] = None, reschedule_type: Optional[google.cloud.memcache_v1.types.cloud_memcache.RescheduleMaintenanceRequest.RescheduleType] = None, schedule_time: Optional[google.protobuf.timestamp_pb2.Timestamp] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Reschedules upcoming maintenance event.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

def sample_reschedule_maintenance():
    # Create a client
    client = memcache_v1.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1.RescheduleMaintenanceRequest(
        instance="instance_value",
        reschedule_type="SPECIFIC_TIME",
    )

    # Make the request
    operation = client.reschedule_maintenance(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.memcache_v1.types.RescheduleMaintenanceRequest, dict]) – The request object. Request for [RescheduleMaintenance][google.cloud.memcache.v1.CloudMemcache.RescheduleMaintenance].
instance (str) –
Required. Memcache instance resource name using the form: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region.

This corresponds to the instance field on the request instance; if request is provided, this should not be set.
reschedule_type (google.cloud.memcache_v1.types.RescheduleMaintenanceRequest.RescheduleType) –
Required. If reschedule type is SPECIFIC_TIME, must set up schedule_time as well.

This corresponds to the reschedule_type field on the request instance; if request is provided, this should not be set.
schedule_time (google.protobuf.timestamp_pb2.Timestamp) –
Timestamp when the maintenance shall be rescheduled to if reschedule_type=SPECIFIC_TIME, in RFC 3339 format, for example 2012-11-15T16:19:00.094Z.

This corresponds to the schedule_time field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation.Operation

property transport: google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

CloudMemcacheTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns: The universe domain used by the client instance.
Return type: str

update_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.UpdateInstanceRequest, dict]] = None, *, instance: Optional[google.cloud.memcache_v1.types.cloud_memcache.Instance] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Updates an existing Instance in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

def sample_update_instance():
    # Create a client
    client = memcache_v1.CloudMemcacheClient()

    # Initialize request argument(s)
    instance = memcache_v1.Instance()
    instance.name = "name_value"
    instance.node_count = 1070
    instance.node_config.cpu_count = 976
    instance.node_config.memory_size_mb = 1505

    request = memcache_v1.UpdateInstanceRequest(
        instance=instance,
    )

    # Make the request
    operation = client.update_instance(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]) – The request object. Request for [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance].
instance (google.cloud.memcache_v1.types.Instance) –
Required. A Memcached Instance. Only fields specified in update_mask are updated.

This corresponds to the instance field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) –
Required. Mask of fields to update.
- displayName
This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation.Operation

update_parameters(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.UpdateParametersRequest, dict]] = None, *, name: Optional[str] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, parameters: Optional[google.cloud.memcache_v1.types.cloud_memcache.MemcacheParameters] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Updates the defined Memcached parameters for an existing instance. This method only stages the parameters, it must be followed by ApplyParameters to apply the parameters to nodes of the Memcached instance.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import memcache_v1

def sample_update_parameters():
    # Create a client
    client = memcache_v1.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1.UpdateParametersRequest(
        name="name_value",
    )

    # Make the request
    operation = client.update_parameters(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]) – The request object. Request for [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters].
name (str) –
Required. Resource name of the Memcached instance for which the parameters should be updated.

This corresponds to the name field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) – Required. Mask of fields to update. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
parameters (google.cloud.memcache_v1.types.MemcacheParameters) –
The parameters to apply to the instance.

This corresponds to the parameters field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.memcache_v1.types.Instance A Memorystore for Memcached instance

Return type

google.api_core.operation.Operation

class google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesAsyncPager(method: Callable[[...], Awaitable[google.cloud.memcache_v1.types.cloud_memcache.ListInstancesResponse]], request: google.cloud.memcache_v1.types.cloud_memcache.ListInstancesRequest, response: google.cloud.memcache_v1.types.cloud_memcache.ListInstancesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_instances requests.

This class thinly wraps an initial google.cloud.memcache_v1.types.ListInstancesResponse object, and provides an __aiter__ method to iterate through its instances field.

If there are more pages, the __aiter__ method will make additional ListInstances requests and continue to iterate through the instances field on the corresponding responses.

All the usual google.cloud.memcache_v1.types.ListInstancesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.memcache_v1.types.ListInstancesRequest) – The initial request object.
response (google.cloud.memcache_v1.types.ListInstancesResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

class google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesPager(method: Callable[[...], google.cloud.memcache_v1.types.cloud_memcache.ListInstancesResponse], request: google.cloud.memcache_v1.types.cloud_memcache.ListInstancesRequest, response: google.cloud.memcache_v1.types.cloud_memcache.ListInstancesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_instances requests.

This class thinly wraps an initial google.cloud.memcache_v1.types.ListInstancesResponse object, and provides an __iter__ method to iterate through its instances field.

If there are more pages, the __iter__ method will make additional ListInstances requests and continue to iterate through the instances field on the corresponding responses.

All the usual google.cloud.memcache_v1.types.ListInstancesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.memcache_v1.types.ListInstancesRequest) – The initial request object.
response (google.cloud.memcache_v1.types.ListInstancesResponse) – The initial response object.
retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

CloudMemcache¶

google-cloud-memcache

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