class_docstr: Updates a Cloud Bigtable cluster.
  
  For more details about updating a Cloud Bigtable cluster,
  have a look at the reference:
  https://googleapis.github.io/google-cloud-python/latest/bigtable/cluster.html#google.cloud.bigtable.cluster.Cluster.update
  
  .. seealso::
      For more information on how to use this operator, take a look at the guide:
      :ref:`howto/operator:BigtableUpdateClusterOperator`
  
  :param instance_id: The ID of the Cloud Bigtable instance.
  :param cluster_id: The ID of the Cloud Bigtable cluster to update.
  :param nodes: The desired number of nodes for the Cloud Bigtable cluster.
  :param project_id: Optional, the ID of the Google Cloud project.
  :param gcp_conn_id: The connection ID to use to connect to Google Cloud.
  :param impersonation_chain: Optional service account to impersonate using short-term
      credentials, or chained list of accounts required to get the access_token
      of the last account in the list, which will be impersonated in the request.
      If set as a string, the account must grant the originating account
      the Service Account Token Creator IAM role.
      If set as a sequence, the identities from the list must grant
      Service Account Token Creator IAM role to the directly preceding identity, with first
      account from the list granting this role to the originating account (templated).
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code: def __init__(
      self,
      *,
      instance_id: str,
      cluster_id: str,
      nodes: int,
      project_id: str | None = None,
      gcp_conn_id: str = "google_cloud_default",
      impersonation_chain: str | Sequence[str] | None = None,
      **kwargs,
  ) -> None:
      self.project_id = project_id
      self.instance_id = instance_id
      self.cluster_id = cluster_id
      self.nodes = nodes
      self._validate_inputs()
      self.gcp_conn_id = gcp_conn_id
      self.impersonation_chain = impersonation_chain
      super().__init__(**kwargs)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Iterable, Sequence
  import google.api_core.exceptions
  from airflow.exceptions import AirflowException
  from airflow.providers.google.cloud.hooks.bigtable import BigtableHook
  from airflow.providers.google.cloud.links.bigtable import BigtableClusterLink, BigtableInstanceLink, BigtableTablesLink
  from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
label_desc: Use image node_id 1 to create a new BigtableUpdateClusterOperator object from inherited base classes: GoogleCloudBaseOperator, BigtableValidationMixin with example: obj = BigtableUpdateClusterOperator()