Source code for tests.system.providers.google.cloud.bigquery.example_bigquery_dataset

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"""
Example Airflow DAG for Google BigQuery service testing dataset operations.
"""
from __future__ import annotations

import os
from datetime import datetime

from airflow import models
from airflow.operators.bash import BashOperator
from airflow.providers.google.cloud.operators.bigquery import (
    BigQueryCreateEmptyDatasetOperator,
    BigQueryDeleteDatasetOperator,
    BigQueryGetDatasetOperator,
    BigQueryUpdateDatasetOperator,
)
from airflow.utils.trigger_rule import TriggerRule

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "bigquery_dataset"
[docs]DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
with models.DAG( DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "bigquery"], ) as dag: # [START howto_operator_bigquery_create_dataset]
[docs] create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create_dataset", dataset_id=DATASET_NAME)
# [END howto_operator_bigquery_create_dataset] # [START howto_operator_bigquery_update_dataset] update_dataset = BigQueryUpdateDatasetOperator( task_id="update_dataset", dataset_id=DATASET_NAME, dataset_resource={"description": "Updated dataset"}, ) # [END howto_operator_bigquery_update_dataset] # [START howto_operator_bigquery_get_dataset] get_dataset = BigQueryGetDatasetOperator(task_id="get-dataset", dataset_id=DATASET_NAME) # [END howto_operator_bigquery_get_dataset] get_dataset_result = BashOperator( task_id="get_dataset_result", bash_command="echo \"{{ task_instance.xcom_pull('get-dataset')['id'] }}\"", ) # [START howto_operator_bigquery_delete_dataset] delete_dataset = BigQueryDeleteDatasetOperator( task_id="delete_dataset", dataset_id=DATASET_NAME, delete_contents=True ) # [END howto_operator_bigquery_delete_dataset] delete_dataset.trigger_rule = TriggerRule.ALL_DONE ( # TEST BODY create_dataset >> update_dataset >> get_dataset >> get_dataset_result # TEST TEARDOWN >> delete_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)

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