Class CloudMemcacheClient (1.10.1) 

CloudMemcacheClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.memcache_v1beta2.services.cloud_memcache.transports.base.CloudMemcacheTransport, typing.Callable[[...], google.cloud.memcache_v1beta2.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>)

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

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type Description
str The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type Description
CloudMemcacheTransport The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type Description
str The universe domain used by the client instance.

Methods

CloudMemcacheClient

CloudMemcacheClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.memcache_v1beta2.services.cloud_memcache.transports.base.CloudMemcacheTransport, typing.Callable[[...], google.cloud.memcache_v1beta2.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>)

Instantiates the cloud memcache client.

Parameters
Name Description
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.
Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

apply_parameters

apply_parameters(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.ApplyParametersRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    node_ids: typing.Optional[typing.MutableSequence[str]] = None,
    apply_all: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

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_v1beta2

def sample_apply_parameters():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1beta2.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
Name Description
request Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]

The request object. Request for 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Instance A Memorystore for Memcached instance

apply_software_update

apply_software_update(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.ApplySoftwareUpdateRequest,
            dict,
        ]
    ] = None,
    *,
    instance: typing.Optional[str] = None,
    node_ids: typing.Optional[typing.MutableSequence[str]] = None,
    apply_all: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates software on the selected nodes of the 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_v1beta2

def sample_apply_software_update():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1beta2.ApplySoftwareUpdateRequest(
        instance="instance_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]

The request object. Request for ApplySoftwareUpdate.
instance str

Required. Resource name of the Memcached instance for which software update should be applied. This corresponds to the instance field on the request instance; if request is provided, this should not be set.
node_ids MutableSequence[str]

Nodes to which we should apply the update to. Note all the selected nodes are updated in parallel. 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 the update to all nodes. If set to true, will explicitly restrict users from specifying any nodes, and apply software update to all nodes (where applicable) 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Instance A Memorystore for Memcached instance

cancel_operation

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

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
Name Description
request .operations_pb2.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.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_instance

create_instance(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.CreateInstanceRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    instance_id: typing.Optional[str] = None,
    resource: typing.Optional[
        google.cloud.memcache_v1beta2.types.cloud_memcache.Instance
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

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_v1beta2

def sample_create_instance():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    resource = memcache_v1beta2.Instance()
    resource.name = "name_value"
    resource.node_count = 1070
    resource.node_config.cpu_count = 976
    resource.node_config.memory_size_mb = 1505

    request = memcache_v1beta2.CreateInstanceRequest(
        parent="parent_value",
        instance_id="instance_id_value",
        resource=resource,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]

The request object. Request for 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_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.
resource google.cloud.memcache_v1beta2.types.Instance

Required. A Memcached [Instance] resource This corresponds to the resource 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Instance A Memorystore for Memcached instance

delete_instance

delete_instance(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.DeleteInstanceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

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_v1beta2

def sample_delete_instance():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1beta2.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
Name Description
request Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]

The request object. Request for 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
Type Description
google.api_core.operation.Operation 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); }

delete_operation

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

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
Name Description
request .operations_pb2.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.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter
Name Description
filename str

The path to the service account private key json file.
Returns
Type Description
CloudMemcacheClient The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

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

Parameter
Name Description
info dict

The service account private key info.
Returns
Type Description
CloudMemcacheClient The constructed client.

from_service_account_json

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

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

Parameter
Name Description
filename str

The path to the service account private key json file.
Returns
Type Description
CloudMemcacheClient The constructed client.

get_instance

get_instance(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.GetInstanceRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.memcache_v1beta2.types.cloud_memcache.Instance

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_v1beta2

def sample_get_instance():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1beta2.GetInstanceRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]

The request object. Request for 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
Type Description
google.cloud.memcache_v1beta2.types.Instance A Memorystore for Memcached instance

get_location

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

Gets information about a location.

Parameters
Name Description
request .location_pb2.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
Type Description
.location_pb2.Location Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

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.

Parameter
Name Description
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.
Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If any errors happen.
Returns
Type Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]] returns the API endpoint and the client cert source to use.

get_operation

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

Gets the latest state of a long-running operation.

Parameters
Name Description
request .operations_pb2.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
Type Description
.operations_pb2.Operation An Operation object.

instance_path

instance_path(project: str, location: str, instance: str) -> str

Returns a fully-qualified instance string.

list_instances

list_instances(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.ListInstancesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesPager

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_v1beta2

def sample_list_instances():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1beta2.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
Name Description
request Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]

The request object. Request for 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
Type Description
google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesPager Response for ListInstances. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

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

Lists information about the supported locations for this service.

Parameters
Name Description
request .location_pb2.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
Type Description
.location_pb2.ListLocationsResponse Response message for ListLocations method.

list_operations

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

Lists operations that match the specified filter in the request.

Parameters
Name Description
request .operations_pb2.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
Type Description
.operations_pb2.ListOperationsResponse Response message for ListOperations method.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_instance_path

parse_instance_path(path: str) -> typing.Dict[str, str]

Parses a instance path into its component segments.

reschedule_maintenance

reschedule_maintenance(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.RescheduleMaintenanceRequest,
            dict,
        ]
    ] = None,
    *,
    instance: typing.Optional[str] = None,
    reschedule_type: typing.Optional[
        google.cloud.memcache_v1beta2.types.cloud_memcache.RescheduleMaintenanceRequest.RescheduleType
    ] = None,
    schedule_time: typing.Optional[google.protobuf.timestamp_pb2.Timestamp] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Performs the apply phase of the RescheduleMaintenance verb.

# 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_v1beta2

def sample_reschedule_maintenance():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1beta2.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
Name Description
request Union[google.cloud.memcache_v1beta2.types.RescheduleMaintenanceRequest, dict]

The request object. Request for 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_v1beta2.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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Instance A Memorystore for Memcached instance

update_instance

update_instance(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.UpdateInstanceRequest,
            dict,
        ]
    ] = None,
    *,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    resource: typing.Optional[
        google.cloud.memcache_v1beta2.types.cloud_memcache.Instance
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

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_v1beta2

def sample_update_instance():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    resource = memcache_v1beta2.Instance()
    resource.name = "name_value"
    resource.node_count = 1070
    resource.node_config.cpu_count = 976
    resource.node_config.memory_size_mb = 1505

    request = memcache_v1beta2.UpdateInstanceRequest(
        resource=resource,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]

The request object. Request for UpdateInstance.
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.
resource google.cloud.memcache_v1beta2.types.Instance

Required. A Memcached [Instance] resource. Only fields specified in update_mask are updated. This corresponds to the resource 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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Instance A Memorystore for Memcached instance

update_parameters

update_parameters(
    request: typing.Optional[
        typing.Union[
            google.cloud.memcache_v1beta2.types.cloud_memcache.UpdateParametersRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    parameters: typing.Optional[
        google.cloud.memcache_v1beta2.types.cloud_memcache.MemcacheParameters
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

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_v1beta2

def sample_update_parameters():
    # Create a client
    client = memcache_v1beta2.CloudMemcacheClient()

    # Initialize request argument(s)
    request = memcache_v1beta2.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
Name Description
request Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]

The request object. Request for 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_v1beta2.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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be Instance A Memorystore for Memcached instance