Source code for tests.system.providers.google.cloud.gcs.example_gcs_to_bigquery

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"""
Example DAG using GCSToBigQueryOperator.
"""

import os
from datetime import datetime

from airflow import models
from airflow.providers.google.cloud.operators.bigquery import (
    BigQueryCreateEmptyDatasetOperator,
    BigQueryDeleteDatasetOperator,
)
from airflow.providers.google.cloud.transfers.gcs_to_bigquery 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 models.DAG(
    dag_id=DAG_ID,
    schedule_interval='@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/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)