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

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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 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]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]DAG_ID = "gcs_to_bigquery_operator_async"
[docs]DATASET_NAME_STR = f"dataset_{DAG_ID}_{ENV_ID}_STR"
[docs]DATASET_NAME_DATE = f"dataset_{DAG_ID}_{ENV_ID}_DATE"
[docs]DATASET_NAME_JSON = f"dataset_{DAG_ID}_{ENV_ID}_JSON"
[docs]DATASET_NAME_DELIMITER = f"dataset_{DAG_ID}_{ENV_ID}_DELIMITER"
[docs]TABLE_NAME_STR = "test_str"
[docs]TABLE_NAME_DATE = "test_date"
[docs]TABLE_NAME_JSON = "test_json"
[docs]TABLE_NAME_DELIMITER = "test_delimiter"
[docs]MAX_ID_STR = "name"
[docs]MAX_ID_DATE = "date"
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_for_string_fields = BigQueryCreateEmptyDatasetOperator( task_id="create_airflow_test_dataset_str", dataset_id=DATASET_NAME_STR, project_id=PROJECT_ID )
create_test_dataset_for_date_fields = BigQueryCreateEmptyDatasetOperator( task_id="create_airflow_test_dataset_date", dataset_id=DATASET_NAME_DATE, project_id=PROJECT_ID ) create_test_dataset_for_json_fields = BigQueryCreateEmptyDatasetOperator( task_id="create_airflow_test_dataset_json", dataset_id=DATASET_NAME_JSON, project_id=PROJECT_ID ) create_test_dataset_for_delimiter_fields = BigQueryCreateEmptyDatasetOperator( task_id="create_airflow_test_dataset_delimiter", dataset_id=DATASET_NAME_DELIMITER, project_id=PROJECT_ID, ) # [START howto_operator_gcs_to_bigquery_async] load_string_based_csv = GCSToBigQueryOperator( task_id="gcs_to_bigquery_example_str_csv_async", bucket="cloud-samples-data", source_objects=["bigquery/us-states/us-states.csv"], destination_project_dataset_table=f"{DATASET_NAME_STR}.{TABLE_NAME_STR}", write_disposition="WRITE_TRUNCATE", external_table=False, autodetect=True, max_id_key="string_field_0", deferrable=True, ) load_date_based_csv = GCSToBigQueryOperator( task_id="gcs_to_bigquery_example_date_csv_async", bucket="cloud-samples-data", source_objects=["bigquery/us-states/us-states-by-date.csv"], destination_project_dataset_table=f"{DATASET_NAME_DATE}.{TABLE_NAME_DATE}", write_disposition="WRITE_TRUNCATE", external_table=False, autodetect=True, max_id_key=MAX_ID_DATE, deferrable=True, ) load_json = GCSToBigQueryOperator( task_id="gcs_to_bigquery_example_date_json_async", bucket="cloud-samples-data", source_objects=["bigquery/us-states/us-states.json"], source_format="NEWLINE_DELIMITED_JSON", destination_project_dataset_table=f"{DATASET_NAME_JSON}.{TABLE_NAME_JSON}", write_disposition="WRITE_TRUNCATE", external_table=False, autodetect=True, max_id_key=MAX_ID_STR, deferrable=True, ) load_csv_delimiter = GCSToBigQueryOperator( task_id="gcs_to_bigquery_example_delimiter_async", bucket="big-query-samples", source_objects=["employees-tabular.csv"], source_format="csv", destination_project_dataset_table=f"{DATASET_NAME_DELIMITER}.{TABLE_NAME_DELIMITER}", write_disposition="WRITE_TRUNCATE", external_table=False, autodetect=True, field_delimiter="\t", quote_character="", max_id_key=MAX_ID_STR, deferrable=True, ) # [END howto_operator_gcs_to_bigquery_async] delete_test_dataset_str = BigQueryDeleteDatasetOperator( task_id="delete_airflow_test_str_dataset", dataset_id=DATASET_NAME_STR, delete_contents=True, trigger_rule=TriggerRule.ALL_DONE, ) delete_test_dataset_date = BigQueryDeleteDatasetOperator( task_id="delete_airflow_test_date_dataset", dataset_id=DATASET_NAME_DATE, delete_contents=True, trigger_rule=TriggerRule.ALL_DONE, ) delete_test_dataset_json = BigQueryDeleteDatasetOperator( task_id="delete_airflow_test_json_dataset", dataset_id=DATASET_NAME_JSON, delete_contents=True, trigger_rule=TriggerRule.ALL_DONE, ) delete_test_dataset_delimiter = BigQueryDeleteDatasetOperator( task_id="delete_airflow_test_delimiter", dataset_id=DATASET_NAME_JSON, delete_contents=True, trigger_rule=TriggerRule.ALL_DONE, ) ( # TEST SETUP create_test_dataset_for_string_fields >> create_test_dataset_for_date_fields >> create_test_dataset_for_json_fields >> create_test_dataset_for_delimiter_fields # TEST BODY >> load_string_based_csv >> load_date_based_csv >> load_json >> load_csv_delimiter # TEST TEARDOWN >> delete_test_dataset_str >> delete_test_dataset_date >> delete_test_dataset_json >> delete_test_dataset_delimiter ) 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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