airflow.providers.google.cloud.triggers.bigquery_dts

Module Contents

Classes

BigQueryDataTransferRunTrigger

Triggers class to watch the Transfer Run state to define when the job is done.

class airflow.providers.google.cloud.triggers.bigquery_dts.BigQueryDataTransferRunTrigger(project_id, config_id, run_id, poll_interval=10, gcp_conn_id='google_cloud_default', location=None, impersonation_chain=None)[source]

Bases: airflow.triggers.base.BaseTrigger

Triggers class to watch the Transfer Run state to define when the job is done.

Parameters
  • project_id (str | None) – The BigQuery project id where the transfer configuration should be

  • config_id (str) – ID of the config of the Transfer Run which should be watched.

  • run_id (str) – ID of the Transfer Run which should be watched.

  • poll_interval (int) – Optional. Interval which defines how often triggers check status of the job.

  • gcp_conn_id (str) – The connection ID used to connect to Google Cloud.

  • location (str | None) – BigQuery Transfer Service location for regional transfers.

  • impersonation_chain (str | collections.abc.Sequence[str] | None) – 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).

serialize()[source]

Serialize class arguments and classpath.

async run()[source]

If the Transfer Run is in a terminal state, then yield TriggerEvent object.

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