Source code for tests.system.providers.google.cloud.dataflow.example_dataflow_sql

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"""
Example Airflow DAG for Google Cloud Dataflow service
"""
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,
    BigQueryCreateEmptyTableOperator,
    BigQueryDeleteDatasetOperator,
    BigQueryDeleteTableOperator,
    BigQueryInsertJobOperator,
)
from airflow.providers.google.cloud.operators.dataflow import DataflowStartSqlJobOperator
from airflow.utils.trigger_rule import TriggerRule

[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "example_dataflow_sql"
[docs]LOCATION = "europe-west3"
[docs]DATAFLOW_SQL_JOB_NAME = f"{DAG_ID}_{ENV_ID}".replace("_", "-")
[docs]BQ_SQL_DATASET = f"{DAG_ID}_{ENV_ID}".replace("-", "_")
[docs]BQ_SQL_TABLE_INPUT = f"input_{ENV_ID}".replace("-", "_")
[docs]BQ_SQL_TABLE_OUTPUT = f"output_{ENV_ID}".replace("-", "_")
[docs]INSERT_ROWS_QUERY = ( f"INSERT {BQ_SQL_DATASET}.{BQ_SQL_TABLE_INPUT} VALUES " "('John Doe', 900), " "('Alice Storm', 1200)," "('Bob Max', 1000)," "('Peter Jackson', 800)," "('Mia Smith', 1100);" )
with DAG( dag_id=DAG_ID, start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "dataflow-sql"], ) as dag:
[docs] create_bq_dataset = BigQueryCreateEmptyDatasetOperator( task_id="create_bq_dataset", dataset_id=BQ_SQL_DATASET, location=LOCATION, )
create_bq_table = BigQueryCreateEmptyTableOperator( task_id="create_bq_table", dataset_id=BQ_SQL_DATASET, table_id=BQ_SQL_TABLE_INPUT, schema_fields=[ {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"}, {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}, ], ) insert_query_job = BigQueryInsertJobOperator( task_id="insert_query_job", configuration={ "query": { "query": INSERT_ROWS_QUERY, "useLegacySql": False, "priority": "BATCH", } }, location=LOCATION, ) # [START howto_operator_start_sql_job] start_sql = DataflowStartSqlJobOperator( task_id="start_sql_query", job_name=DATAFLOW_SQL_JOB_NAME, query=f""" SELECT emp_name as employee, salary as employee_salary FROM bigquery.table.`{PROJECT_ID}`.`{BQ_SQL_DATASET}`.`{BQ_SQL_TABLE_INPUT}` WHERE salary >= 1000; """, options={ "bigquery-project": PROJECT_ID, "bigquery-dataset": BQ_SQL_DATASET, "bigquery-table": BQ_SQL_TABLE_OUTPUT, }, location=LOCATION, do_xcom_push=True, ) # [END howto_operator_start_sql_job] delete_bq_table = BigQueryDeleteTableOperator( task_id="delete_bq_table", deletion_dataset_table=f"{PROJECT_ID}.{BQ_SQL_DATASET}.{BQ_SQL_TABLE_INPUT}", trigger_rule=TriggerRule.ALL_DONE, ) delete_bq_dataset = BigQueryDeleteDatasetOperator( task_id="delete_bq_dataset", dataset_id=BQ_SQL_DATASET, delete_contents=True, trigger_rule=TriggerRule.ALL_DONE, ) ( # TEST SETUP create_bq_dataset >> create_bq_table >> insert_query_job # TEST BODY >> start_sql # TEST TEARDOWN >> delete_bq_table >> delete_bq_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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