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

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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 tests.system.providers.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]
[docs]    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.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)