CloudRedisClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
Configures and manages Cloud Memorystore for Redis instances
Google Cloud Memorystore for Redis v1beta1
The redis.googleapis.com
service implements the Google Cloud
Memorystore for Redis API and defines the following resource model for
managing Redis 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 Redis instances, named:
/instances/*
- As such, Redis instances are resources of the form:
/projects/{project_id}/locations/{location_id}/instances/{instance_id}
Note that location_id must be refering to a GCP region
; for
example:
projects/redpepper-1290/locations/us-central1/instances/my-redis
Inheritance
builtins.object > google.cloud.redis_v1beta1.gapic.cloud_redis_client.CloudRedisClient > CloudRedisClientMethods
CloudRedisClient
CloudRedisClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
Constructor.
Name | Description |
channel |
grpc.Channel
DEPRECATED. A |
credentials |
google.auth.credentials.Credentials
The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to |
client_config |
dict
DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used. |
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 |
client_options |
Union[dict, google.api_core.client_options.ClientOptions]
Client options used to set user options on the client. API Endpoint should be set through client_options. |
create_instance
create_instance(parent, instance_id, instance, retry=<object object>, timeout=<object object>, metadata=None)
Creates a Redis instance based on the specified tier and memory size.
By default, the instance is accessible from the project's default
network <https://cloud.google.com/compute/docs/networks-and-firewalls#networks>
__.
The creation is executed asynchronously and callers may check the returned operation to track its progress. Once the operation is completed the Redis instance will be fully functional. Completed longrunning.Operation will contain the new instance object in the response field.
The returned operation is automatically deleted after a few hours, so there is no need to call DeleteOperation.
.. rubric:: Example
from google.cloud import redis_v1beta1 from google.cloud.redis_v1beta1 import enums
client = redis_v1beta1.CloudRedisClient()
parent = client.location_path('[PROJECT]', '[LOCATION]') instance_id = 'test_instance' tier = enums.Instance.Tier.BASIC memory_size_gb = 1 instance = {'tier': tier, 'memory_size_gb': memory_size_gb}
response = client.create_instance(parent, instance_id, instance)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Name | Description |
parent |
str
Required. The resource name of the instance location using the form: |
instance_id |
str
Required. The logical name of the Redis instance in the customer 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 customer project / location |
instance |
Union[dict, Instance]
Required. A Redis [Instance] resource If a dict is provided, it must be of the same form as the protobuf message Instance |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_instance
delete_instance(name, retry=<object object>, timeout=<object object>, metadata=None)
Deletes a specific Redis instance. Instance stops serving and data is deleted.
.. rubric:: Example
from google.cloud import redis_v1beta1
client = redis_v1beta1.CloudRedisClient()
name = client.instance_path('[PROJECT]', '[LOCATION]', '[INSTANCE]')
response = client.delete_instance(name)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Name | Description |
name |
str
Required. Redis instance resource name using the form: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
export_instance
export_instance(name, output_config, retry=<object object>, timeout=<object object>, metadata=None)
Export Redis instance data into a Redis RDB format file in Cloud Storage.
Redis will continue serving during this operation.
The returned operation is automatically deleted after a few hours, so there is no need to call DeleteOperation.
.. rubric:: Example
from google.cloud import redis_v1beta1
client = redis_v1beta1.CloudRedisClient()
name = client.instance_path('[PROJECT]', '[LOCATION]', '[INSTANCE]')
TODO: Initialize
output_config
:output_config = {}
response = client.export_instance(name, output_config)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Name | Description |
name |
str
Required. Redis instance resource name using the form: |
output_config |
Union[dict, OutputConfig]
Required. Specify data to be exported. If a dict is provided, it must be of the same form as the protobuf message OutputConfig |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
failover_instance
failover_instance(name, data_protection_mode, retry=<object object>, timeout=<object object>, metadata=None)
Initiates a failover of the master node to current replica node for a specific STANDARD tier Cloud Memorystore for Redis instance.
.. rubric:: Example
from google.cloud import redis_v1beta1 from google.cloud.redis_v1beta1 import enums
client = redis_v1beta1.CloudRedisClient()
name = client.instance_path('[PROJECT]', '[LOCATION]', '[INSTANCE]')
TODO: Initialize
data_protection_mode
:data_protection_mode = enums.FailoverInstanceRequest.DataProtectionMode.DATA_PROTECTION_MODE_UNSPECIFIED
response = client.failover_instance(name, data_protection_mode)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Name | Description |
name |
str
Required. Redis instance resource name using the form: |
data_protection_mode |
DataProtectionMode
Optional. Available data protection modes that the user can choose. If it's unspecified, data protection mode will be LIMITED_DATA_LOSS by default. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
from_service_account_file
from_service_account_file(filename, *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 |
CloudRedisClient | The constructed client. |
from_service_account_json
from_service_account_json(filename, *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 |
CloudRedisClient | The constructed client. |
get_instance
get_instance(name, retry=<object object>, timeout=<object object>, metadata=None)
Gets the details of a specific Redis instance.
.. rubric:: Example
from google.cloud import redis_v1beta1
client = redis_v1beta1.CloudRedisClient()
name = client.instance_path('[PROJECT]', '[LOCATION]', '[INSTANCE]')
response = client.get_instance(name)
Name | Description |
name |
str
Required. Redis instance resource name using the form: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
import_instance
import_instance(name, input_config, retry=<object object>, timeout=<object object>, metadata=None)
Import a Redis RDB snapshot file from Cloud Storage into a Redis instance.
Redis may stop serving during this operation. Instance state will be IMPORTING for entire operation. When complete, the instance will contain only data from the imported file.
The returned operation is automatically deleted after a few hours, so there is no need to call DeleteOperation.
.. rubric:: Example
from google.cloud import redis_v1beta1
client = redis_v1beta1.CloudRedisClient()
name = client.instance_path('[PROJECT]', '[LOCATION]', '[INSTANCE]')
TODO: Initialize
input_config
:input_config = {}
response = client.import_instance(name, input_config)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Name | Description |
name |
str
Required. Redis instance resource name using the form: |
input_config |
Union[dict, InputConfig]
Required. Specify data to be imported. If a dict is provided, it must be of the same form as the protobuf message InputConfig |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
instance_path
instance_path(project, location, instance)
Return a fully-qualified instance string.
list_instances
list_instances(parent, page_size=None, retry=<object object>, timeout=<object object>, metadata=None)
Lists all Redis instances owned by a project in either the specified location (region) or all locations.
The location should have the following format:
projects/{project_id}/locations/{location_id}
If location_id
is specified as -
(wildcard), then all regions
available to the project are queried, and the results are aggregated.
.. rubric:: Example
from google.cloud import redis_v1beta1
client = redis_v1beta1.CloudRedisClient()
parent = client.location_path('[PROJECT]', '[LOCATION]')
Iterate over all results
for element in client.list_instances(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_instances(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
Required. The resource name of the instance location using the form: |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
location_path
location_path(project, location)
Return a fully-qualified location string.
update_instance
update_instance(update_mask, instance, retry=<object object>, timeout=<object object>, metadata=None)
Updates the metadata and configuration of a specific Redis instance.
Completed longrunning.Operation will contain the new instance object in the response field. The returned operation is automatically deleted after a few hours, so there is no need to call DeleteOperation.
.. rubric:: Example
from google.cloud import redis_v1beta1
client = redis_v1beta1.CloudRedisClient()
paths_element = 'display_name' paths_element_2 = 'memory_size_gb' paths = [paths_element, paths_element_2] update_mask = {'paths': paths} display_name = 'UpdatedDisplayName' memory_size_gb = 4 instance = {'display_name': display_name, 'memory_size_gb': memory_size_gb}
response = client.update_instance(update_mask, instance)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Name | Description |
update_mask |
Union[dict, FieldMask]
Required. Mask of fields to update. At least one path must be supplied in this field. The elements of the repeated paths field may only include these fields from |
instance |
Union[dict, Instance]
Required. Update description. Only fields specified in update_mask are updated. If a dict is provided, it must be of the same form as the protobuf message Instance |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |