Instance#
User-friendly container for Google Cloud Bigtable Instance.
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class
google.cloud.bigtable.instance.Instance(instance_id, client, display_name=None, instance_type=None, labels=None, _state=None)[source]# Bases:
objectRepresentation of a Google Cloud Bigtable Instance.
We can use an
Instanceto:Note
For now, we leave out the
default_storage_type(an enum) which if not sent will end up asdata_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 togoogle.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.
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app_profile(app_profile_id, routing_policy_type=None, description=None, cluster_id=None, allow_transactional_writes=None)[source]# 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.ANYgoogle.cloud.bigtable.enums.RoutingPolicyType.SINGLEType: 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.
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cluster(cluster_id, location_id=None, serve_nodes=None, default_storage_type=None)[source]# 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 = 3 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.
- instance (
Instance) – The instance where the cluster resides. - 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.SHD, Defaults togoogle.cloud.bigtable.enums.StorageType.UNSPECIFIED.
Return type: ClusterReturns: a cluster owned by this instance.
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create(location_id=None, serve_nodes=None, default_storage_type=None, clusters=None)[source]# 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 = 3 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
projectandinstance_idon the currentInstancein addition to thedisplay_name. To change them before creating, reset the values viainstance.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.SHD, Defaults togoogle.cloud.bigtable.enums.StorageType.UNSPECIFIED. - clusters (class:~[~google.cloud.bigtable.cluster.Cluster]) – List of clusters to be created.
Return type: Returns: The long-running operation corresponding to the create operation.
Raises: ValueErrorif bothclustersand one oflocation_id,serve_nodesanddefault_storage_typeare set.
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delete()[source]# Delete this instance.
For example:
from google.cloud.bigtable import Client client = Client(admin=True) instance_id = "inst-my-123" 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_timefield 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.
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exists()[source]# 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.
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classmethod
from_pb(instance_pb, client)[source]# Creates an instance instance from a protobuf.
For example:
from google.cloud.bigtable import Client from google.cloud.bigtable_admin_v2.types import instance_pb2 client = Client(admin=True) instance = client.instance(INSTANCE_ID) name = instance.name instance_pb = instance_pb2.Instance( name=name, display_name=INSTANCE_ID, type=PRODUCTION, labels=LABELS ) instance2 = instance.from_pb(instance_pb, client)
Parameters: - instance_pb (
instance_pb2.Instance) – An instance protobuf object. - client (
Client) – The client that owns the instance.
Return type: Returns: The instance parsed from the protobuf response.
Raises: ValueErrorif the instance name does not matchprojects/{project}/instances/{instance_id}or if the parsed project ID does not match the project ID on the client.- instance_pb (
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get_iam_policy()[source]# 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()
Return type: google.cloud.bigtable.policy.PolicyReturns: The current IAM policy of this instance
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list_app_profiles()[source]# 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 AppProfileinstances.
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list_clusters()[source]# 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.
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list_tables()[source]# 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 TableReturns: The list of tables owned by the instance. Raises: ValueErrorif one of the returned tables has a name that is not of the expected format.
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name# Instance name used in requests.
Note
This property will not change if
instance_iddoes 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.
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reload()[source]# 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()
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set_iam_policy(policy)[source]# 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 instanceReturn type: google.cloud.bigtable.policy.PolicyReturns: The current IAM policy of this instance.
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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
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table(table_id, mutation_timeout=None, app_profile_id=None)[source]# Factory to create a table associated with this instance.
For example:
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) table.create(column_families={"cf1": max_versions_rule})
Parameters: Return type: Returns: The table owned by this instance.
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test_iam_permissions(permissions)[source]# 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
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update()[source]# 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_nametypelabelsTo change a value before updating, assign that values viainstance.display_name = 'New display name'
before calling
update().Return type: OperationReturns: The long-running operation corresponding to the update operation.


