BigQueryTableExistencePartitionAsyncSensor
GoogleChecks for the existence of a partition within a table in Google BigQuery.
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_idThe Google cloud project in which to look for the table. The connection supplied to the hook must provide access to the specified project.
dataset_idThe name of the dataset in which to look for the table. storage bucket.
partition_idThe name of the partition to check the existence of.
table_idThe name of the table to check the existence of.
gcp_conn_idThe connection ID used to connect to Google Cloud.
bigquery_conn_id(Deprecated) The connection ID used to connect to Google Cloud. This parameter has been deprecated. You should pass the gcp_conn_id parameter instead.
impersonation_chainOptional 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).
poke_intervalThe interval in seconds to wait between checks table existence.
Documentation
Checks for the existence of a partition within a table in Google BigQuery.