Class InstanceAdminClient (1.19.2) 

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

Cloud Spanner Instance Admin API

The Cloud Spanner Instance Admin API can be used to create, delete, modify and list instances. Instances are dedicated Cloud Spanner serving and storage resources to be used by Cloud Spanner databases.

Each instance has a "configuration", which dictates where the serving resources for the Cloud Spanner instance are located (e.g., US-central, Europe). Configurations are created by Google based on resource availability.

Cloud Spanner billing is based on the instances that exist and their sizes. After an instance exists, there are no additional per-database or per-operation charges for use of the instance (though there may be additional network bandwidth charges). Instances offer isolation: problems with databases in one instance will not affect other instances. However, within an instance databases can affect each other. For example, if one database in an instance receives a lot of requests and consumes most of the instance resources, fewer resources are available for other databases in that instance, and their performance may suffer.

Inheritance

builtins.object > google.cloud.spanner_admin_instance_v1.gapic.instance_admin_client.InstanceAdminClient > InstanceAdminClient

Methods

InstanceAdminClient

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

Constructor.

Parameters
NameDescription
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=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Creates an instance and begins preparing it to begin serving. The returned long-running operation can be used to track the progress of preparing the new instance. The instance name is assigned by the caller. If the named instance already exists, CreateInstance returns ALREADY_EXISTS.

Immediately upon completion of this request:

  • The instance is readable via the API, with all requested attributes but no allocated resources. Its state is CREATING.

Until completion of the returned operation:

  • Cancelling the operation renders the instance immediately unreadable via the API.
  • The instance can be deleted.
  • All other attempts to modify the instance are rejected.

Upon completion of the returned operation:

  • Billing for all successfully-allocated resources begins (some types may have lower than the requested levels).
  • Databases can be created in the instance.
  • The instance's allocated resource levels are readable via the API.
  • The instance's state becomes READY.

The returned long-running operation will have a name of the format <instance_name>/operations/<operation_id> and can be used to track creation of the instance. The metadata field type is CreateInstanceMetadata. The response field type is Instance, if successful.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

parent = client.project_path('[PROJECT]')

TODO: Initialize instance_id:

instance_id = ''

TODO: Initialize instance:

instance = {}

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
NameDescription
parent str

Required. The name of the project in which to create the instance. Values are of the form projects/<project>.

instance_id str

Required. The ID of the instance to create. Valid identifiers are of the form `a-z][-a-z0-9]`*[a-z0-9] and must be between 2 and 64 characters in length.

instance Union[dict, Instance]

Required. The instance to create. The name may be omitted, but if specified must be <parent>/instances/<instance_id>. 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 be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

delete_instance

delete_instance(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Deletes an instance.

Immediately upon completion of the request:

  • Billing ceases for all of the instance's reserved resources.

Soon afterward:

  • The instance and all of its databases immediately and irrevocably disappear from the API. All data in the databases is permanently deleted.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

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

client.delete_instance(name)

Parameters
NameDescription
name str

Required. The name of the instance to be deleted. Values are of the form projects/<project>/instances/<instance>

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
InstanceAdminClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
InstanceAdminClientThe constructed client.

get_iam_policy

get_iam_policy(resource, options_=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Gets the access control policy for an instance resource. Returns an empty policy if an instance exists but does not have a policy set.

Authorization requires spanner.instances.getIamPolicy on resource.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

TODO: Initialize resource:

resource = ''

response = client.get_iam_policy(resource)

Parameters
NameDescription
resource str

REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.

options_ Union[dict, GetPolicyOptions]

OPTIONAL: A GetPolicyOptions object for specifying options to GetIamPolicy. This field is only used by Cloud IAM. If a dict is provided, it must be of the same form as the protobuf message GetPolicyOptions

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

get_instance

get_instance(name, field_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Gets information about a particular instance.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

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

response = client.get_instance(name)

Parameters
NameDescription
name str

Required. The name of the requested instance. Values are of the form projects/<project>/instances/<instance>.

field_mask Union[dict, FieldMask]

If field_mask is present, specifies the subset of Instance fields that should be returned. If absent, all Instance fields are returned. If a dict is provided, it must be of the same form as the protobuf message FieldMask

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

get_instance_config

get_instance_config(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Gets information about a particular instance configuration.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

name = client.instance_config_path('[PROJECT]', '[INSTANCE_CONFIG]')

response = client.get_instance_config(name)

Parameters
NameDescription
name str

Required. The name of the requested instance configuration. Values are of the form projects/<project>/instanceConfigs/<config>.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

instance_config_path

instance_config_path(project, instance_config)

Return a fully-qualified instance_config string.

instance_path

instance_path(project, instance)

Return a fully-qualified instance string.

list_instance_configs

list_instance_configs(parent, page_size=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Lists the supported instance configurations for a given project.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

parent = client.project_path('[PROJECT]')

Iterate over all results

for element in client.list_instance_configs(parent): ... # process element ... pass

Alternatively:

Iterate over results one page at a time

for page in client.list_instance_configs(parent).pages: ... for element in page: ... # process element ... pass

Parameters
NameDescription
parent str

Required. The name of the project for which a list of supported instance configurations is requested. Values are of the form projects/<project>.

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 be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

list_instances

list_instances(parent, page_size=None, filter_=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Lists all instances in the given project.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

parent = client.project_path('[PROJECT]')

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
NameDescription
parent str

Required. The name of the project for which a list of instances is requested. Values are of the form projects/<project>.

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.

filter_ str

An expression for filtering the results of the request. Filter rules are case insensitive. The fields eligible for filtering are: - name - display_name - labels.key where key is the name of a label Some examples of using filters are: - name:* --> The instance has a name. - name:Howl --> The instance's name contains the string "howl". - name:HOWL --> Equivalent to above. - NAME:howl --> Equivalent to above. - labels.env:* --> The instance has the label "env". - labels.env:dev --> The instance has the label "env" and the value of the label contains the string "dev". - name:howl labels.env:dev --> The instance's name contains "howl" and it has the label "env" with its value containing "dev".

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

project_path

project_path(project)

Return a fully-qualified project string.

set_iam_policy

set_iam_policy(resource, policy, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Sets the access control policy on an instance resource. Replaces any existing policy.

Authorization requires spanner.instances.setIamPolicy on resource.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

TODO: Initialize resource:

resource = ''

TODO: Initialize policy:

policy = {}

response = client.set_iam_policy(resource, policy)

Parameters
NameDescription
resource str

REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.

policy Union[dict, Policy]

REQUIRED: The complete policy to be applied to the resource. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Cloud Platform services (such as Projects) might reject them. If a dict is provided, it must be of the same form as the protobuf message Policy

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

test_iam_permissions

test_iam_permissions(resource, permissions, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Returns permissions that the caller has on the specified instance resource.

Attempting this RPC on a non-existent Cloud Spanner instance resource will result in a NOT_FOUND error if the user has spanner.instances.list permission on the containing Google Cloud Project. Otherwise returns an empty set of permissions.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

TODO: Initialize resource:

resource = ''

TODO: Initialize permissions:

permissions = []

response = client.test_iam_permissions(resource, permissions)

Parameters
NameDescription
resource str

REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.

permissions list[str]

The set of permissions to check for the resource. Permissions with wildcards (such as '' or 'storage.') are not allowed. For more information see IAM Overview <https://cloud.google.com/iam/docs/overview#permissions>__.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

update_instance

update_instance(instance, field_mask, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates an instance, and begins allocating or releasing resources as requested. The returned long-running operation can be used to track the progress of updating the instance. If the named instance does not exist, returns NOT_FOUND.

Immediately upon completion of this request:

  • For resource types for which a decrease in the instance's allocation has been requested, billing is based on the newly-requested level.

Until completion of the returned operation:

  • Cancelling the operation sets its metadata's cancel_time, and begins restoring resources to their pre-request values. The operation is guaranteed to succeed at undoing all resource changes, after which point it terminates with a CANCELLED status.
  • All other attempts to modify the instance are rejected.
  • Reading the instance via the API continues to give the pre-request resource levels.

Upon completion of the returned operation:

  • Billing begins for all successfully-allocated resources (some types may have lower than the requested levels).
  • All newly-reserved resources are available for serving the instance's tables.
  • The instance's new resource levels are readable via the API.

The returned long-running operation will have a name of the format <instance_name>/operations/<operation_id> and can be used to track the instance modification. The metadata field type is UpdateInstanceMetadata. The response field type is Instance, if successful.

Authorization requires spanner.instances.update permission on resource name.

.. rubric:: Example

from google.cloud import spanner_admin_instance_v1

client = spanner_admin_instance_v1.InstanceAdminClient()

TODO: Initialize instance:

instance = {}

TODO: Initialize field_mask:

field_mask = {}

response = client.update_instance(instance, field_mask)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
instance Union[dict, Instance]

Required. The instance to update, which must always include the instance name. Otherwise, only fields mentioned in field_mask need be included. If a dict is provided, it must be of the same form as the protobuf message Instance

field_mask Union[dict, FieldMask]

Required. A mask specifying which fields in Instance should be updated. The field mask must always be specified; this prevents any future fields in Instance from being erased accidentally by clients that do not know about them. If a dict is provided, it must be of the same form as the protobuf message FieldMask

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

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
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.