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Example DAG using GCSToBigQueryOperator.
from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from import (
from import GCSToBigQueryOperator
from airflow.utils.trigger_rule import TriggerRule

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "gcs_to_bigquery_operator"
[docs]DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
[docs]TABLE_NAME = "test"
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
with DAG( dag_id=DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "gcs"], ) as dag:
[docs] create_test_dataset = BigQueryCreateEmptyDatasetOperator( task_id="create_airflow_test_dataset", dataset_id=DATASET_NAME, project_id=PROJECT_ID )
# [START howto_operator_gcs_to_bigquery] load_csv = GCSToBigQueryOperator( task_id="gcs_to_bigquery_example", bucket="cloud-samples-data", source_objects=["bigquery/us-states/us-states.csv"], destination_project_dataset_table=f"{DATASET_NAME}.{TABLE_NAME}", schema_fields=[ {"name": "name", "type": "STRING", "mode": "NULLABLE"}, {"name": "post_abbr", "type": "STRING", "mode": "NULLABLE"}, ], write_disposition="WRITE_TRUNCATE", ) # [END howto_operator_gcs_to_bigquery] delete_test_dataset = BigQueryDeleteDatasetOperator( task_id="delete_airflow_test_dataset", dataset_id=DATASET_NAME, delete_contents=True, trigger_rule=TriggerRule.ALL_DONE, ) ( # TEST SETUP create_test_dataset # TEST BODY >> load_csv # TEST TEARDOWN >> delete_test_dataset ) from tests.system.utils.watcher import watcher # This test needs watcher in order to properly mark success/failure # when "tearDown" task with trigger rule is part of the DAG list(dag.tasks) >> watcher() from tests.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/
[docs]test_run = get_test_run(dag)

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