class_docstr: Executes a job and wait for the operation to be completed. Pushes the executed job to xcom.
  
  :param project_id: Required. The ID of the Google Cloud project that the service belongs to.
  :param region: Required. The ID of the Google Cloud region that the service belongs to.
  :param job_name: Required. The name of the job to update.
  :param job: Required. The job descriptor containing the new configuration of the job to update.
      The name field will be replaced by job_name
  :param overrides: Optional map of override values.
  :param gcp_conn_id: The connection ID used to connect to Google Cloud.
  :param polling_period_seconds: Optional: Control the rate of the poll for the result of deferrable run.
      By default, the trigger will poll every 10 seconds.
  :param timeout: The timeout for this request.
  :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).
  :param deferrable: Run operator in the deferrable mode
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code: def __init__(
      self,
      project_id: str,
      region: str,
      job_name: str,
      overrides: dict[str, Any] | None = None,
      polling_period_seconds: float = 10,
      timeout_seconds: float | None = None,
      gcp_conn_id: str = "google_cloud_default",
      impersonation_chain: str | Sequence[str] | None = None,
      deferrable: bool = conf.getboolean(
          "operators", "default_deferrable", fallback=False
      ),
      **kwargs,
  ):
      super().__init__(**kwargs)
      self.project_id = project_id
      self.region = region
      self.job_name = job_name
      self.overrides = overrides
      self.gcp_conn_id = gcp_conn_id
      self.impersonation_chain = impersonation_chain
      self.polling_period_seconds = polling_period_seconds
      self.timeout_seconds = timeout_seconds
      self.deferrable = deferrable
      self.operation: operation.Operation | None = None
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Any, Sequence
  from google.cloud.run_v2 import Job
  from airflow.configuration import conf
  from airflow.exceptions import AirflowException
  from airflow.providers.google.cloud.hooks.cloud_run import CloudRunHook
  from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
  from airflow.providers.google.cloud.triggers.cloud_run import CloudRunJobFinishedTrigger, RunJobStatus
label_desc: Use image node_id 1 to create a new CloudRunExecuteJobOperator object from inherited base classes: GoogleCloudBaseOperator with example: obj = CloudRunExecuteJobOperator(project_id, region, job_name, overrides, polling_period_seconds, timeout_seconds, gcp_conn_id, impersonation_chain, deferrable)