example_bigquery_to_bigquery.py

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"""
Example Airflow DAG for Google BigQuery service.
"""
import os
from datetime import datetime

from airflow import models
from airflow.providers.google.cloud.operators.bigquery import (
    BigQueryCreateEmptyDatasetOperator,
    BigQueryCreateEmptyTableOperator,
    BigQueryDeleteDatasetOperator,
)
from airflow.providers.google.cloud.transfers.bigquery_to_bigquery import BigQueryToBigQueryOperator

PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
DATASET_NAME = os.environ.get("GCP_BIGQUERY_DATASET_NAME", "test_dataset_transfer")
ORIGIN = "origin"
TARGET = "target"

with models.DAG(
    "example_bigquery_to_bigquery",
    schedule_interval='@once',  # Override to match your needs
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example"],
) as dag:
    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}",
    )

    create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create_dataset", dataset_id=DATASET_NAME)

    for table in [ORIGIN, TARGET]:
        create_table = BigQueryCreateEmptyTableOperator(
            task_id=f"create_{table}_table",
            dataset_id=DATASET_NAME,
            table_id=table,
            schema_fields=[
                {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
                {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
            ],
        )
        create_dataset >> create_table >> copy_selected_data

    delete_dataset = BigQueryDeleteDatasetOperator(
        task_id="delete_dataset", dataset_id=DATASET_NAME, delete_contents=True
    )

    copy_selected_data >> delete_dataset