BigQueryTablePartitionExistenceSensor
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_idRequiredThe Google cloud project in which to look for the table. The connection supplied to the hook must provide access to the specified project.
dataset_idRequiredThe name of the dataset in which to look for the table. storage bucket.
table_idRequiredThe name of the table to check the existence of.
partition_idRequiredThe name of the partition to check the existence of.
gcp_conn_id(Optional) The connection ID used to connect to Google Cloud.
delegate_toThe account to impersonate, if any. For this to work, the service account making the request must have domain-wide delegation enabled.
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).
Documentation
Checks for the existence of a partition within a table in Google Bigquery.