Source code for tests.system.providers.apache.beam.example_python_async

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""
Example Airflow DAG for Apache Beam operators
"""

from __future__ import annotations

from airflow import models
from airflow.providers.apache.beam.operators.beam import BeamRunPythonPipelineOperator
from airflow.providers.google.cloud.operators.dataflow import DataflowConfiguration
from tests.system.providers.apache.beam.utils import (
    DEFAULT_ARGS,
    GCP_PROJECT_ID,
    GCS_OUTPUT,
    GCS_PYTHON,
    GCS_STAGING,
    GCS_TMP,
    START_DATE,
)

with models.DAG(
    dag_id="dataflow_native_python_async",
    start_date=START_DATE,
    schedule=None,  # Override to match your needs
    catchup=False,
    default_args=DEFAULT_ARGS,
    tags=["example"],
) as dag:
    # [START howto_operator_start_python_direct_runner_pipeline_local_file_async]
[docs] start_python_pipeline_local_direct_runner = BeamRunPythonPipelineOperator( task_id="start_python_pipeline_local_direct_runner", py_file="apache_beam.examples.wordcount", py_options=["-m"], py_requirements=["apache-beam[gcp]==2.46.0"], py_interpreter="python3", py_system_site_packages=False, deferrable=True, )
# [END howto_operator_start_python_direct_runner_pipeline_local_file_async] # [START howto_operator_start_python_direct_runner_pipeline_gcs_file_async] start_python_pipeline_direct_runner = BeamRunPythonPipelineOperator( task_id="start_python_pipeline_direct_runner", py_file=GCS_PYTHON, py_options=[], pipeline_options={"output": GCS_OUTPUT}, py_requirements=["apache-beam[gcp]==2.46.0"], py_interpreter="python3", py_system_site_packages=False, deferrable=True, ) # [END howto_operator_start_python_direct_runner_pipeline_gcs_file_async] # [START howto_operator_start_python_dataflow_runner_pipeline_gcs_file_async] start_python_pipeline_dataflow_runner = BeamRunPythonPipelineOperator( task_id="start_python_pipeline_dataflow_runner", runner="DataflowRunner", py_file=GCS_PYTHON, pipeline_options={ "tempLocation": GCS_TMP, "stagingLocation": GCS_STAGING, "output": GCS_OUTPUT, }, py_options=[], py_requirements=["apache-beam[gcp]==2.46.0"], py_interpreter="python3", py_system_site_packages=False, dataflow_config=DataflowConfiguration( job_name="{{task.task_id}}", project_id=GCP_PROJECT_ID, location="us-central1" ), deferrable=True, ) # [END howto_operator_start_python_dataflow_runner_pipeline_gcs_file_async] # [START howto_operator_start_python_pipeline_local_runner_spark_runner_async] start_python_pipeline_local_spark_runner = BeamRunPythonPipelineOperator( task_id="start_python_pipeline_local_spark_runner", py_file="apache_beam.examples.wordcount", runner="SparkRunner", py_options=["-m"], py_requirements=["apache-beam[gcp]==2.46.0"], py_interpreter="python3", py_system_site_packages=False, deferrable=True, ) # [END howto_operator_start_python_pipeline_local_runner_spark_runner_async] # [START howto_operator_start_python_pipeline_local_runner_flink_runner_async] start_python_pipeline_local_flink_runner = BeamRunPythonPipelineOperator( task_id="start_python_pipeline_local_flink_runner", py_file="apache_beam.examples.wordcount", runner="FlinkRunner", py_options=["-m"], pipeline_options={ "output": "/tmp/start_python_pipeline_local_flink_runner", }, py_requirements=["apache-beam[gcp]==2.46.0"], py_interpreter="python3", py_system_site_packages=False, deferrable=True, ) # [END howto_operator_start_python_pipeline_local_runner_flink_runner_async] ( [ start_python_pipeline_local_direct_runner, start_python_pipeline_direct_runner, ] >> start_python_pipeline_dataflow_runner >> start_python_pipeline_local_flink_runner >> start_python_pipeline_local_spark_runner ) from tests.system.utils import get_test_run # Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)

Was this entry helpful?