Class CloudRedisClient (0.3.0)

Version 0.3.0

• 2.16.1 (latest)
• 2.16.0
• 2.15.5
• 2.14.0
• 2.13.1
• 2.12.1
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• 2.3.0
• 2.2.4
• 2.1.1
• 2.0.0
• 1.0.2
• 0.4.0
• 0.3.0

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 v1

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 referring to a GCP region; for example:

• projects/redpepper-1290/locations/us-central1/instances/my-redis

Inheritance

builtins.object > google.cloud.redis_v1.gapic.cloud_redis_client.CloudRedisClient > CloudRedisClient

Methods

CloudRedisClient

CloudRedisClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters

Name	Description
channel	grpc.Channel DEPRECATED. A Channel instance through which to make calls. This argument is mutually exclusive with credentials; providing both will raise an exception.
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 transport; doing so will raise an exception.
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 None, then default info will be used. Generally, you only need to set this if you're developing your own client library.
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_v1 from google.cloud.redis_v1 import enums

client = redis_v1.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()

Parameters

Name	Description
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.
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 None is specified, requests will not be retried.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

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_v1

client = redis_v1.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()

Parameters

Name	Description
name	str Required. Redis instance resource name using the form: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will not be retried.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

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_v1

client = redis_v1.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()

Parameters

Name	Description
name	str Required. Redis instance resource name using the form: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region.
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 None is specified, requests will not be retried.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

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_v1 from google.cloud.redis_v1 import enums

client = redis_v1.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()

Parameters

Name	Description
name	str Required. Redis instance resource name using the form: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region.
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 None is specified, requests will not be retried.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

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.

Parameter

Name	Description
filename	str The path to the service account private key json file.

Returns

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.

Parameter

Name	Description
filename	str The path to the service account private key json file.

Returns

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_v1

client = redis_v1.CloudRedisClient()

name = client.instance_path('[PROJECT]', '[LOCATION]', '[INSTANCE]')

response = client.get_instance(name)

Parameters

Name	Description
name	str Required. Redis instance resource name using the form: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will not be retried.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

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_v1

client = redis_v1.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()

Parameters

Name	Description
name	str Required. Redis instance resource name using the form: projects/{project_id}/locations/{location_id}/instances/{instance_id} where location_id refers to a GCP region.
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 None is specified, requests will not be retried.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

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_v1

client = redis_v1.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

Parameters

Name	Description
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.
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 None is specified, requests will not be retried.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

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_v1

client = redis_v1.CloudRedisClient()

paths_element = 'display_name' paths_element_2 = 'memory_size_gb' paths = [paths_element, paths_element_2] update_mask = {'paths': paths} display_name = ' instance.memory_size_gb=4' instance = {'display_name': display_name}

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()

Parameters

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: - displayName - labels - memorySizeGb - redisConfig If a dict is provided, it must be of the same form as the protobuf message FieldMask
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 None is specified, requests will not be retried.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

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.