BigQueryTableExistenceSensor

Google

Checks for the existence of a table in Google Bigquery.

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Last Updated: May. 7, 2021

Access Instructions

Install the Google provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.

Parameters

project_idstrThe Google cloud project in which to look for the table. The connection supplied to the hook must provide access to the specified project.
dataset_idstrThe name of the dataset in which to look for the table. storage bucket.
table_idstrThe name of the table to check the existence of.
bigquery_conn_idstrThe connection ID to use when connecting to Google BigQuery.
delegate_tostrThe account to impersonate using domain-wide delegation of authority, if any. For this to work, the service account making the request must have domain-wide delegation enabled.
impersonation_chainUnion[str, Sequence[str]]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).

Documentation

Checks for the existence of a table in Google Bigquery.

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