Class CloudRedisClient (2.16.1)

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

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the cloud redis client.

Releases underlying transport's resources.

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.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

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/vpc/docs/vpc>__.

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.

# 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 redis_v1

def sample_create_instance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    instance = redis_v1.Instance()
    instance.name = "name_value"
    instance.tier = "STANDARD_HA"
    instance.memory_size_gb = 1499

    request = redis_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)

Deletes a specific Redis instance. Instance stops serving and data is deleted.

# 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 redis_v1

def sample_delete_instance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    request = redis_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)

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.

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.

# 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 redis_v1

def sample_export_instance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    output_config = redis_v1.OutputConfig()
    output_config.gcs_destination.uri = "uri_value"

    request = redis_v1.ExportInstanceRequest(
        name="name_value",
        output_config=output_config,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Initiates a failover of the primary node to current replica node for a specific STANDARD tier Cloud Memorystore for Redis 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 redis_v1

def sample_failover_instance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    request = redis_v1.FailoverInstanceRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

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

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

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

Gets the details of a specific Redis 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 redis_v1

def sample_get_instance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    request = redis_v1.GetInstanceRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets the AUTH string for a Redis instance. If AUTH is not enabled for the instance the response will be empty. This information is not included in the details returned to GetInstance.

# 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 redis_v1

def sample_get_instance_auth_string():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    request = redis_v1.GetInstanceAuthStringRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets information about a location.

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.

Gets the latest state of a long-running operation.

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.

# 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 redis_v1

def sample_import_instance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    input_config = redis_v1.InputConfig()
    input_config.gcs_source.uri = "uri_value"

    request = redis_v1.ImportInstanceRequest(
        name="name_value",
        input_config=input_config,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Returns a fully-qualified instance string.

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.

# 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 redis_v1

def sample_list_instances():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    request = redis_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)

Lists information about the supported locations for this service.

Lists operations that match the specified filter in the request.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a instance path into its component segments.

Reschedule maintenance for a given 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 redis_v1

def sample_reschedule_maintenance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    request = redis_v1.RescheduleMaintenanceRequest(
        name="name_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)

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.

# 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 redis_v1

def sample_update_instance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    instance = redis_v1.Instance()
    instance.name = "name_value"
    instance.tier = "STANDARD_HA"
    instance.memory_size_gb = 1499

    request = redis_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)

Upgrades Redis instance to the newer Redis version specified in the request.

# 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 redis_v1

def sample_upgrade_instance():
    # Create a client
    client = redis_v1.CloudRedisClient()

    # Initialize request argument(s)
    request = redis_v1.UpgradeInstanceRequest(
        name="name_value",
        redis_version="redis_version_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)