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Example Airflow DAG for Google BigQuery service local file upload and external table creation.

from __future__ import annotations

import os
from datetime import datetime
from pathlib import Path

from airflow.models.dag import DAG
from import (
from import GCSCreateBucketOperator, GCSDeleteBucketOperator
from import LocalFilesystemToGCSOperator
from airflow.utils.trigger_rule import TriggerRule

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "bigquery_operations"
[docs]DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
[docs]DATA_SAMPLE_GCS_OBJECT_NAME = "bigquery/us-states/us-states.csv"
[docs]CSV_FILE_LOCAL_PATH = str(Path(__file__).parent / "resources" / "us-states.csv")
with DAG( DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "bigquery"], ) as dag:
[docs] create_bucket = GCSCreateBucketOperator(task_id="create_bucket", bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME)
create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create_dataset", dataset_id=DATASET_NAME) upload_file = LocalFilesystemToGCSOperator( task_id="upload_file_to_bucket", src=CSV_FILE_LOCAL_PATH, dst=DATA_SAMPLE_GCS_OBJECT_NAME, bucket=DATA_SAMPLE_GCS_BUCKET_NAME, ) # [START howto_operator_bigquery_create_external_table] create_external_table = BigQueryCreateExternalTableOperator( task_id="create_external_table", destination_project_dataset_table=f"{DATASET_NAME}.external_table", bucket=DATA_SAMPLE_GCS_BUCKET_NAME, source_objects=[DATA_SAMPLE_GCS_OBJECT_NAME], schema_fields=[ {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"}, {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}, ], ) # [END howto_operator_bigquery_create_external_table] delete_dataset = BigQueryDeleteDatasetOperator( task_id="delete_dataset", dataset_id=DATASET_NAME, delete_contents=True, trigger_rule=TriggerRule.ALL_DONE, ) delete_bucket = GCSDeleteBucketOperator( task_id="delete_bucket", bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE ) ( # TEST SETUP [create_bucket, create_dataset] # TEST BODY >> upload_file >> create_external_table # TEST TEARDOWN >> delete_dataset >> delete_bucket ) 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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