Source code for tests.system.google.cloud.bigquery.example_bigquery_to_bigquery

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"""
Airflow System Test DAG that verifies BigQueryToBigQueryOperator.
"""

from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.bigquery import (
    BigQueryCreateEmptyDatasetOperator,
    BigQueryCreateTableOperator,
    BigQueryDeleteDatasetOperator,
)
from airflow.providers.google.cloud.transfers.bigquery_to_bigquery import BigQueryToBigQueryOperator
from airflow.utils.trigger_rule import TriggerRule


[docs]
ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")


[docs]
DAG_ID = "bigquery_to_bigquery"



[docs]
DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"


[docs]
ORIGIN = "origin"


[docs]
TARGET = "target"


[docs]
LOCATION = "US"


[docs]
SCHEMA = [
    {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
    {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
]



with DAG(
    DAG_ID,
    schedule="@once",
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example", "bigquery"],
) as dag:

[docs]
    create_dataset = BigQueryCreateEmptyDatasetOperator(
        task_id="create_dataset",
        dataset_id=DATASET_NAME,
        location=LOCATION,
    )


    create_origin_table = BigQueryCreateTableOperator(
        task_id="create_origin_table",
        dataset_id=DATASET_NAME,
        table_id="origin",
        table_resource={
            "schema": {"fields": SCHEMA},
        },
    )

    create_target_table = BigQueryCreateTableOperator(
        task_id="create_target_table",
        dataset_id=DATASET_NAME,
        table_id="target",
        table_resource={
            "schema": {"fields": SCHEMA},
        },
    )

    # [START howto_operator_bigquery_to_bigquery]
    copy_selected_data = BigQueryToBigQueryOperator(
        task_id="copy_selected_data",
        source_project_dataset_tables=f"{DATASET_NAME}.{ORIGIN}",
        destination_project_dataset_table=f"{DATASET_NAME}.{TARGET}",
    )
    # [END howto_operator_bigquery_to_bigquery]

    delete_dataset = BigQueryDeleteDatasetOperator(
        task_id="delete_dataset",
        dataset_id=DATASET_NAME,
        delete_contents=True,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    (
        # TEST SETUP
        create_dataset
        >> [create_origin_table, create_target_table]
        # TEST BODY
        >> copy_selected_data
        # TEST TEARDOWN
        >> delete_dataset
    )

    from tests_common.test_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_common.test_utils.system_tests 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)