Instance

User-friendly container for Google Cloud Bigtable Instance.

class google.cloud.bigtable.instance.Instance(instance_id, client, display_name=None, instance_type=None, labels=None, _state=None)

Bases: object

Representation of a Google Cloud Bigtable Instance.

We can use an Instance to:

reload() itself
create() itself
update() itself
delete() itself

NOTE: For now, we leave out the default_storage_type (an enum) which if not sent will end up as data_v2_pb2.STORAGE_SSD.

Parameters
- instance_id (str) – The ID of the instance.
- client (Client) – The client that owns the instance. Provides authorization and a project ID.
- display_name (str) – (Optional) The display name for the instance in the Cloud Console UI. (Must be between 4 and 30 characters.) If this value is not set in the constructor, will fall back to the instance ID.
- instance_type (int) – (Optional) The type of the instance. Possible values are represented by the following constants: google.cloud.bigtable.enums.Instance.Type.PRODUCTION. google.cloud.bigtable.enums.Instance.Type.DEVELOPMENT, Defaults to google.cloud.bigtable.enums.Instance.Type.UNSPECIFIED.
- labels (dict) – (Optional) Labels are a flexible and lightweight mechanism for organizing cloud resources into groups that reflect a customer’s organizational needs and deployment strategies. They can be used to filter resources and aggregate metrics. Label keys must be between 1 and 63 characters long. Maximum 64 labels can be associated with a given resource. Label values must be between 0 and 63 characters long. Keys and values must both be under 128 bytes.
- _state (int) – (OutputOnly) The current state of the instance. Possible values are represented by the following constants: google.cloud.bigtable.enums.Instance.State.STATE_NOT_KNOWN. google.cloud.bigtable.enums.Instance.State.READY. google.cloud.bigtable.enums.Instance.State.CREATING.

app_profile(app_profile_id, routing_policy_type=None, description=None, cluster_id=None, allow_transactional_writes=None)

Factory to create AppProfile associated with this instance.

For example:

from google.cloud.bigtable import Client
from google.cloud.bigtable import enums

routing_policy_type = enums.RoutingPolicyType.ANY

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)

description = "routing policy-multy"

app_profile = instance.app_profile(
    app_profile_id=APP_PROFILE_ID,
    routing_policy_type=routing_policy_type,
    description=description,
    cluster_id=CLUSTER_ID,
)

app_profile = app_profile.create(ignore_warnings=True)

Parameters

app_profile_id (str) – The ID of the AppProfile. Must be of the form [_a-zA-Z0-9][-_.a-zA-Z0-9]\*.
Type

routing_policy_type: int
Param

routing_policy_type: The type of the routing policy. Possible values are represented by the following constants: google.cloud.bigtable.enums.RoutingPolicyType.ANY google.cloud.bigtable.enums.RoutingPolicyType.SINGLE
Type

description: str
Param

description: (Optional) Long form description of the use case for this AppProfile.
Type

cluster_id: str
Param

cluster_id: (Optional) Unique cluster_id which is only required when routing_policy_type is ROUTING_POLICY_TYPE_SINGLE.
Type

allow_transactional_writes: bool
Param

allow_transactional_writes: (Optional) If true, allow transactional writes for ROUTING_POLICY_TYPE_SINGLE.
Return type

AppProfile>
Returns

AppProfile for this instance.

cluster(cluster_id, location_id=None, serve_nodes=None, default_storage_type=None, kms_key_name=None)

Factory to create a cluster associated with this instance.

For example:

from google.cloud.bigtable import Client
from google.cloud.bigtable import enums

# Assuming that there is an existing instance with `INSTANCE_ID`
# on the server already.
# to create an instance see
# 'https://cloud.google.com/bigtable/docs/creating-instance'

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)

cluster_id = "clus-my-" + UNIQUE_SUFFIX
location_id = "us-central1-a"
serve_nodes = 1
storage_type = enums.StorageType.SSD

cluster = instance.cluster(
    cluster_id,
    location_id=location_id,
    serve_nodes=serve_nodes,
    default_storage_type=storage_type,
)
operation = cluster.create()
# We want to make sure the operation completes.
operation.result(timeout=100)

Parameters
- cluster_id (str) – The ID of the cluster.
- location_id (str) – (Creation Only) The location where this cluster’s nodes and storage reside. For best performance, clients should be located as close as possible to this cluster. For list of supported locations refer to https://cloud.google.com/bigtable/docs/locations
- serve_nodes (int) – (Optional) The number of nodes in the cluster.
- default_storage_type (int) – (Optional) The type of storage Possible values are represented by the following constants: google.cloud.bigtable.enums.StorageType.SSD. google.cloud.bigtable.enums.StorageType.HDD, Defaults to google.cloud.bigtable.enums.StorageType.UNSPECIFIED.
- kms_key_name (str) – (Optional, Creation Only) The name of the KMS customer managed encryption key (CMEK) to use for at-rest encryption of data in this cluster. If omitted, Google’s default encryption will be used. If specified, the requirements for this key are:

    1. The Cloud Bigtable service account associated with the
project that contains the cluster must be granted the
`cloudkms.cryptoKeyEncrypterDecrypter` role on the
CMEK.


    2. Only regional keys can be used and the region of the
CMEK key must match the region of the cluster.


    3. All clusters within an instance must use the same CMEK
key.

Return type

Cluster
Returns

a cluster owned by this instance.

create(location_id=None, serve_nodes=None, default_storage_type=None, clusters=None)

Create this instance.

For example:

from google.cloud.bigtable import Client
from google.cloud.bigtable import enums

my_instance_id = "inst-my-" + UNIQUE_SUFFIX
my_cluster_id = "clus-my-" + UNIQUE_SUFFIX
location_id = "us-central1-f"
serve_nodes = 1
storage_type = enums.StorageType.SSD
production = enums.Instance.Type.PRODUCTION
labels = {"prod-label": "prod-label"}

client = Client(admin=True)
instance = client.instance(my_instance_id, instance_type=production, labels=labels)
cluster = instance.cluster(
    my_cluster_id,
    location_id=location_id,
    serve_nodes=serve_nodes,
    default_storage_type=storage_type,
)
operation = instance.create(clusters=[cluster])

# We want to make sure the operation completes.
operation.result(timeout=100)

NOTE: Uses the project and instance_id on the current Instance in addition to the display_name. To change them before creating, reset the values via

instance.display_name = 'New display name'
instance.instance_id = 'i-changed-my-mind'

before calling create().

Parameters
- location_id (str) – (Creation Only) The location where nodes and storage of the cluster owned by this instance reside. For best performance, clients should be located as close as possible to cluster’s location. For list of supported locations refer to https://cloud.google.com/bigtable/docs/locations
- serve_nodes (int) – (Optional) The number of nodes in the instance’s cluster; used to set up the instance’s cluster.
- default_storage_type (int) – (Optional) The storage media type for persisting Bigtable data. Possible values are represented by the following constants: google.cloud.bigtable.enums.StorageType.SSD. google.cloud.bigtable.enums.StorageType.HDD, Defaults to google.cloud.bigtable.enums.StorageType.UNSPECIFIED.
- clusters (class:~[~google.cloud.bigtable.cluster.Cluster]) – List of clusters to be created.
Return type

Operation
Returns

The long-running operation corresponding to the create operation.
Raises

ValueError if both clusters and one of location_id, serve_nodes and default_storage_type are set.

delete()

Delete this instance.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)

instance_to_delete = client.instance(instance_id)
instance_to_delete.delete()

Marks an instance and all of its tables for permanent deletion in 7 days.

Immediately upon completion of the request:

Billing will cease for all of the instance’s reserved resources.
The instance’s delete_time field will be set 7 days in the future.

Soon afterward:

All tables within the instance will become unavailable.

At the instance’s delete_time:

The instance and all of its tables will immediately and irrevocably disappear from the API, and their data will be permanently deleted.

exists()

Check whether the instance already exists.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
instance_exists = instance.exists()

Return type

bool
Returns

True if the table exists, else False.

classmethod from_pb(instance_pb, client)

Creates an instance instance from a protobuf.

For example:

from google.cloud.bigtable import Client
from google.cloud.bigtable_admin_v2.types import instance as data_v2_pb2

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)

name = instance.name
instance_pb = data_v2_pb2.Instance(
    name=name, display_name=INSTANCE_ID, type=PRODUCTION, labels=LABELS
)

instance2 = instance.from_pb(instance_pb, client)

Parameters
- instance_pb (instance.Instance) – An instance protobuf object.
- client (Client) – The client that owns the instance.
Return type

Instance
Returns

The instance parsed from the protobuf response.
Raises

ValueError if the instance name does not match projects/{project}/instances/{instance_id} or if the parsed project ID does not match the project ID on the client.

get_iam_policy(requested_policy_version=None)

Gets the access control policy for an instance resource.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
policy = instance.get_iam_policy()

Parameters

requested_policy_version (int or NoneType) – Optional. The version of IAM policies to request. If a policy with a condition is requested without setting this, the server will return an error. This must be set to a value of 3 to retrieve IAM policies containing conditions. This is to prevent client code that isn’t aware of IAM conditions from interpreting and modifying policies incorrectly. The service might return a policy with version lower than the one that was requested, based on the feature syntax in the policy fetched.
Return type

google.cloud.bigtable.policy.Policy
Returns

The current IAM policy of this instance

list_app_profiles()

Lists information about AppProfiles in an instance.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)

app_profiles_list = instance.list_app_profiles()

Return type

:list:[~google.cloud.bigtable.app_profile.AppProfile]
Returns

A :list:[~google.cloud.bigtable.app_profile.AppProfile]. By default, this is a list of AppProfile instances.

list_clusters()

List the clusters in this instance.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
(clusters_list, failed_locations_list) = instance.list_clusters()

Return type

tuple
Returns

(clusters, failed_locations), where ‘clusters’ is list of google.cloud.bigtable.instance.Cluster, and ‘failed_locations’ is a list of locations which could not be resolved.

list_tables()

List the tables in this instance.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
tables_list = instance.list_tables()

Return type

list of Table
Returns

The list of tables owned by the instance.
Raises

ValueError if one of the returned tables has a name that is not of the expected format.

property name()

Instance name used in requests.

NOTE: This property will not change if instance_id does not, but the return value is not cached.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
instance_name = instance.name

The instance name is of the form

"projects/{project}/instances/{instance_id}"

Return type

str
Returns

Return a fully-qualified instance string.

reload()

Reload the metadata for this instance.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
instance.reload()

set_iam_policy(policy)

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

For more information about policy, please see documentation of class google.cloud.bigtable.policy.Policy

For example:

from google.cloud.bigtable import Client
from google.cloud.bigtable.policy import Policy
from google.cloud.bigtable.policy import BIGTABLE_ADMIN_ROLE

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
instance.reload()
new_policy = Policy()
new_policy[BIGTABLE_ADMIN_ROLE] = [Policy.service_account(service_account_email)]

policy_latest = instance.set_iam_policy(new_policy)

Parameters

policy (google.cloud.bigtable.policy.Policy) – A new IAM policy to replace the current IAM policy of this instance
Return type

google.cloud.bigtable.policy.Policy
Returns

The current IAM policy of this instance.

property state()

state of Instance.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
instance_state = instance.state

Type

google.cloud.bigtable.enums.Instance.State

table(table_id, mutation_timeout=None, app_profile_id=None)

Factory to create a table associated with this instance.

For example:

from google.api_core import exceptions
from google.api_core import retry
from google.cloud.bigtable import Client
from google.cloud.bigtable import column_family

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
table = instance.table("table_my")
# Define the GC policy to retain only the most recent 2 versions.
max_versions_rule = column_family.MaxVersionsGCRule(2)

# Could include other retriable exception types
# Could configure deadline, etc.
predicate_504 = retry.if_exception_type(exceptions.DeadlineExceeded)
retry_504 = retry.Retry(predicate_504)

retry_504(table.create)(column_families={"cf1": max_versions_rule})

Parameters
- table_id (str) – The ID of the table.
- mutation_timeout (int) – (Optional) The overriding mutation timeout.
- app_profile_id (str) – (Optional) The unique name of the AppProfile.
Return type

Table
Returns

The table owned by this instance.

test_iam_permissions(permissions)

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

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
instance.reload()
permissions = ["bigtable.clusters.create", "bigtable.tables.create"]
permissions_allowed = instance.test_iam_permissions(permissions)

Parameters

permissions (list) – 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. Bigtable Permissions.
Return type

list
Returns

A List(string) of permissions allowed on the instance

update()

Updates an instance within a project.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
display_name = "My new instance"
instance.display_name = display_name
instance.update()

NOTE: Updates any or all of the following values: display_name type labels To change a value before updating, assign that values via

instance.display_name = 'New display name'

before calling update().

Return type

Operation
Returns

The long-running operation corresponding to the update operation.