As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Cluster

User friendly container for Google Cloud Bigtable Cluster.

class google.cloud.bigtable.cluster.Cluster(cluster_id, instance, location_id=None, serve_nodes=None, default_storage_type=None, kms_key_name=None, _state=None)[source]

Bases: object

Representation of a Google Cloud Bigtable Cluster.

We can use a Cluster to:

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.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.

  • _state (int) – (OutputOnly) The current state of the cluster. Possible values are represented by the following constants: google.cloud.bigtable.enums.Cluster.State.NOT_KNOWN. google.cloud.bigtable.enums.Cluster.State.READY. google.cloud.bigtable.enums.Cluster.State.CREATING. google.cloud.bigtable.enums.Cluster.State.RESIZING. google.cloud.bigtable.enums.Cluster.State.DISABLED.

create()[source]

Create this cluster.

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)

Note

Uses the project, instance and cluster_id on the current Cluster in addition to the serve_nodes. To change them before creating, reset the values via

cluster.serve_nodes = 8
cluster.cluster_id = 'i-changed-my-mind'

before calling create().

Return type

Operation

Returns

The long-running operation corresponding to the create operation.

delete()[source]

Delete this cluster.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
cluster_to_delete = instance.cluster(cluster_id)

cluster_to_delete.delete()

Marks a cluster and all of its tables for permanent deletion in 7 days.

Immediately upon completion of the request:

  • Billing will cease for all of the cluster’s reserved resources.

  • The cluster’s delete_time field will be set 7 days in the future.

Soon afterward:

  • All tables within the cluster will become unavailable.

At the cluster’s delete_time:

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

exists()[source]

Check whether the cluster already exists.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
cluster = instance.cluster(CLUSTER_ID)
cluster_exists = cluster.exists()
Return type

bool

Returns

True if the table exists, else False.

classmethod from_pb(cluster_pb, instance)[source]

Creates an cluster 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)
cluster = instance.cluster(CLUSTER_ID)

name = cluster.name
cluster_state = cluster.state
serve_nodes = 1
cluster_pb = data_v2_pb2.Cluster(
    name=name,
    location=LOCATION_ID,
    state=cluster_state,
    serve_nodes=serve_nodes,
    default_storage_type=STORAGE_TYPE,
)

cluster2 = cluster.from_pb(cluster_pb, instance)
Parameters
Return type

Cluster

Returns

The Cluster parsed from the protobuf response.

Raises

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

property kms_key_name

Customer managed encryption key for the cluster.

Type

str

property name

Cluster name used in requests.

Note

This property will not change if _instance and cluster_id do 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)
cluster = instance.cluster(CLUSTER_ID)
cluster_name = cluster.name

The cluster name is of the form

"projects/{project}/instances/{instance}/clusters/{cluster_id}"

Return type

str

Returns

The cluster name.

reload()[source]

Reload the metadata for this cluster.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
cluster = instance.cluster(CLUSTER_ID)
cluster.reload()
property state

state of cluster.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
cluster = instance.cluster(CLUSTER_ID)
cluster_state = cluster.state
Type

google.cloud.bigtable.enums.Cluster.State

update()[source]

Update this cluster.

For example:

from google.cloud.bigtable import Client

client = Client(admin=True)
instance = client.instance(INSTANCE_ID)
cluster = instance.cluster(CLUSTER_ID)
cluster.serve_nodes = 4
cluster.update()

Note

Updates the serve_nodes. If you’d like to change them before updating, reset the values via

cluster.serve_nodes = 8

before calling update().

Return type

Operation

Returns

The long-running operation corresponding to the update operation.