CloudMemcacheAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport] = 'grpc_asyncio', client_options: 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>)
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
Inheritance
builtins.object > CloudMemcacheAsyncClientProperties
transport
Returns the transport used by the client instance.
Type | Description |
CloudMemcacheTransport | The transport used by the client instance. |
Methods
CloudMemcacheAsyncClient
CloudMemcacheAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.memcache_v1.services.cloud_memcache.transports.base.CloudMemcacheTransport] = 'grpc_asyncio', client_options: 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>)
Instantiates the cloud memcache client.
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 |
Union[str, `.CloudMemcacheTransport`]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
apply_parameters
apply_parameters(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.ApplyParametersRequest, dict]] = None, *, name: Optional[str] = None, node_ids: Optional[Sequence[str]] = None, apply_all: Optional[bool] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
ApplyParameters will restart the set of specified nodes in order to update them to the current set of parameters for the Memcached Instance.
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)
Name | Description |
request |
Union[google.cloud.memcache_v1.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 |
node_ids |
:class:`Sequence[str]`
Nodes to which we should apply the instance-level parameter group. This corresponds to the |
apply_all |
`bool`
Whether to apply instance-level parameter group to all nodes. If set to true, will explicitly restrict users from specifying any nodes, and apply parameter group updates to all nodes within the instance. This corresponds to the |
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. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be Instance |
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
create_instance
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: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a new Instance in a given location.
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)
Name | Description |
request |
Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]
The request object. Request for CreateInstance. |
parent |
`str`
Required. The resource name of the instance location using the form: |
instance |
Instance
Required. A Memcached Instance This corresponds to the |
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, will raise an invalid argument error. This corresponds to the |
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. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be Instance |
delete_instance
delete_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.DeleteInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes a single Instance.
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)
Name | Description |
request |
Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]
The request object. Request for DeleteInstance. |
name |
`str`
Required. Memcached instance resource name in the format: |
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. |
Type | Description |
google.api_core.operation_async.AsyncOperation | 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); } The JSON representation for Empty is empty JSON object {}. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
CloudMemcacheAsyncClient | 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.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
CloudMemcacheAsyncClient | 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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
CloudMemcacheAsyncClient | The constructed client. |
get_instance
get_instance(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.GetInstanceRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets details of a single Instance.
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)
Name | Description |
request |
Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]
The request object. Request for GetInstance. |
name |
`str`
Required. Memcached instance resource name in the format: |
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. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)
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 variabel 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.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
instance_path
instance_path(project: str, location: str, instance: str)
Returns a fully-qualified instance string.
list_instances
list_instances(request: Optional[Union[google.cloud.memcache_v1.types.cloud_memcache.ListInstancesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists Instances in a given location.
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)
Name | Description |
request |
Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]
The request object. Request for ListInstances. |
parent |
`str`
Required. The resource name of the instance location using the form: |
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. |
Type | Description |
google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesAsyncPager | Response for ListInstances. Iterating over this object will yield results and resolve additional pages automatically. |
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
parse_instance_path
parse_instance_path(path: str)
Parses a instance path into its component segments.
update_instance
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: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates an existing Instance in a given project and location.
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)
Name | Description |
request |
Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]
The request object. Request for UpdateInstance. |
instance |
Instance
Required. A Memcached Instance. Only fields specified in update_mask are updated. This corresponds to the |
update_mask |
`google.protobuf.field_mask_pb2.FieldMask`
Required. Mask of fields to update. - |
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. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be Instance |
update_parameters
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: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
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.
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)
Name | Description |
request |
Union[google.cloud.memcache_v1.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 |
update_mask |
`google.protobuf.field_mask_pb2.FieldMask`
Required. Mask of fields to update. This corresponds to the |
parameters |
MemcacheParameters
The parameters to apply to the instance. This corresponds to the |
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. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be Instance |