Source code for airflow.providers.google.cloud.example_dags.example_dataflow_flex_template

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"""
Example Airflow DAG for Google Cloud Dataflow service
"""
import os
from datetime import datetime

from airflow import models
from airflow.providers.google.cloud.operators.dataflow import DataflowStartFlexTemplateOperator

[docs]GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
[docs]DATAFLOW_FLEX_TEMPLATE_JOB_NAME = os.environ.get( 'GCP_DATAFLOW_FLEX_TEMPLATE_JOB_NAME', "dataflow-flex-template"
) # For simplicity we use the same topic name as the subscription name.
[docs]PUBSUB_FLEX_TEMPLATE_TOPIC = os.environ.get( 'GCP_DATAFLOW_PUBSUB_FLEX_TEMPLATE_TOPIC', "dataflow-flex-template"
)
[docs]PUBSUB_FLEX_TEMPLATE_SUBSCRIPTION = PUBSUB_FLEX_TEMPLATE_TOPIC
[docs]GCS_FLEX_TEMPLATE_TEMPLATE_PATH = os.environ.get( 'GCP_DATAFLOW_GCS_FLEX_TEMPLATE_TEMPLATE_PATH', "gs://INVALID BUCKET NAME/samples/dataflow/templates/streaming-beam-sql.json",
)
[docs]BQ_FLEX_TEMPLATE_DATASET = os.environ.get('GCP_DATAFLOW_BQ_FLEX_TEMPLATE_DATASET', 'airflow_dataflow_samples')
[docs]BQ_FLEX_TEMPLATE_LOCATION = os.environ.get('GCP_DATAFLOW_BQ_FLEX_TEMPLATE_LOCATION>', 'us-west1')
with models.DAG( dag_id="example_gcp_dataflow_flex_template_java", start_date=datetime(2021, 1, 1), catchup=False, schedule_interval='@once', # Override to match your needs ) as dag_flex_template: # [START howto_operator_start_template_job]
[docs] start_flex_template = DataflowStartFlexTemplateOperator( task_id="start_flex_template_streaming_beam_sql", body={ "launchParameter": { "containerSpecGcsPath": GCS_FLEX_TEMPLATE_TEMPLATE_PATH, "jobName": DATAFLOW_FLEX_TEMPLATE_JOB_NAME, "parameters": { "inputSubscription": PUBSUB_FLEX_TEMPLATE_SUBSCRIPTION, "outputTable": f"{GCP_PROJECT_ID}:{BQ_FLEX_TEMPLATE_DATASET}.streaming_beam_sql", }, } }, do_xcom_push=True, location=BQ_FLEX_TEMPLATE_LOCATION,
) # [END howto_operator_start_template_job]

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