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, _state=None)

Bases: object

Representation of a Google Cloud Bigtable Cluster.

We can use a Cluster to:

  • reload() itself

  • create() itself

  • update() itself

  • delete() itself

  • 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 to google.cloud.bigtable.enums.StorageType.UNSPECIFIED.

    • _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()

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 = 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)

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()

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()

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)

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

    name = cluster.name
    cluster_state = cluster.state
    cluster_pb = instance_pb2.Cluster(
        name=name,
        location=LOCATION_ID,
        state=cluster_state,
        serve_nodes=SERVER_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 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()

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()

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.