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"""
Example Airflow Dag for Apache Beam operators
"""
from __future__ import annotations
from airflow import models
from airflow.providers.apache.beam.operators.beam import BeamRunGoPipelineOperator
from airflow.providers.google.cloud.operators.dataflow import DataflowConfiguration
from system.apache.beam.utils import (
DEFAULT_ARGS,
GCP_PROJECT_ID,
GCS_GO,
GCS_OUTPUT,
GCS_STAGING,
GCS_TMP,
START_DATE,
)
with models.DAG(
"example_beam_native_go",
start_date=START_DATE,
schedule="@once",
catchup=False,
default_args=DEFAULT_ARGS,
tags=["example"],
) as dag:
# [START howto_operator_start_go_direct_runner_pipeline_local_file]
start_go_pipeline_local_direct_runner = BeamRunGoPipelineOperator(
task_id="start_go_pipeline_local_direct_runner",
go_file="files/apache_beam/examples/wordcount.go",
)
# [END howto_operator_start_go_direct_runner_pipeline_local_file]
# [START howto_operator_start_go_direct_runner_pipeline_gcs_file]
start_go_pipeline_direct_runner = BeamRunGoPipelineOperator(
task_id="start_go_pipeline_direct_runner",
go_file=GCS_GO,
pipeline_options={"output": GCS_OUTPUT},
)
# [END howto_operator_start_go_direct_runner_pipeline_gcs_file]
# [START howto_operator_start_go_dataflow_runner_pipeline_gcs_file]
start_go_pipeline_dataflow_runner = BeamRunGoPipelineOperator(
task_id="start_go_pipeline_dataflow_runner",
runner="DataflowRunner",
go_file=GCS_GO,
pipeline_options={
"tempLocation": GCS_TMP,
"stagingLocation": GCS_STAGING,
"output": GCS_OUTPUT,
"WorkerHarnessContainerImage": "apache/beam_go_sdk:latest",
},
dataflow_config=DataflowConfiguration(
job_name="{{task.task_id}}", project_id=GCP_PROJECT_ID, location="us-central1"
),
)
# [END howto_operator_start_go_dataflow_runner_pipeline_gcs_file]
start_go_pipeline_local_spark_runner = BeamRunGoPipelineOperator(
task_id="start_go_pipeline_local_spark_runner",
go_file="/files/apache_beam/examples/wordcount.go",
runner="SparkRunner",
pipeline_options={
"endpoint": "/your/spark/endpoint",
},
)
start_go_pipeline_local_flink_runner = BeamRunGoPipelineOperator(
task_id="start_go_pipeline_local_flink_runner",
go_file="/files/apache_beam/examples/wordcount.go",
runner="FlinkRunner",
pipeline_options={
"output": "/tmp/start_go_pipeline_local_flink_runner",
},
)
(
[
start_go_pipeline_local_direct_runner,
start_go_pipeline_direct_runner,
]
>> start_go_pipeline_local_flink_runner
>> start_go_pipeline_local_spark_runner
)
from tests_common.test_utils.system_tests import get_test_run
# Needed to run the example Dag with pytest (see: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)