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"""
Example Airflow DAG for Dataproc batch operators.
"""
from __future__ import annotations
import os
from datetime import datetime
from google.api_core.retry import Retry
from airflow import models
from airflow.providers.google.cloud.operators.dataproc import (
DataprocCreateBatchOperator,
DataprocDeleteBatchOperator,
DataprocGetBatchOperator,
DataprocListBatchesOperator,
)
from airflow.utils.trigger_rule import TriggerRule
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "dataproc_batch"
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
[docs]BATCH_ID = f"test-batch-id-{ENV_ID}"
[docs]BATCH_ID_2 = f"test-batch-id-{ENV_ID}-2"
[docs]BATCH_CONFIG = {
"spark_batch": {
"jar_file_uris": ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
"main_class": "org.apache.spark.examples.SparkPi",
},
}
with models.DAG(
DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "dataproc"],
) as dag:
# [START how_to_cloud_dataproc_create_batch_operator]
[docs] create_batch = DataprocCreateBatchOperator(
task_id="create_batch",
project_id=PROJECT_ID,
region=REGION,
batch=BATCH_CONFIG,
batch_id=BATCH_ID,
)
create_batch_2 = DataprocCreateBatchOperator(
task_id="create_batch_2",
project_id=PROJECT_ID,
region=REGION,
batch=BATCH_CONFIG,
batch_id=BATCH_ID_2,
result_retry=Retry(maximum=10.0, initial=10.0, multiplier=1.0),
)
# [END how_to_cloud_dataproc_create_batch_operator]
# [START how_to_cloud_dataproc_get_batch_operator]
get_batch = DataprocGetBatchOperator(
task_id="get_batch", project_id=PROJECT_ID, region=REGION, batch_id=BATCH_ID
)
get_batch_2 = DataprocGetBatchOperator(
task_id="get_batch_2", project_id=PROJECT_ID, region=REGION, batch_id=BATCH_ID_2
)
# [END how_to_cloud_dataproc_get_batch_operator]
# [START how_to_cloud_dataproc_list_batches_operator]
list_batches = DataprocListBatchesOperator(
task_id="list_batches",
project_id=PROJECT_ID,
region=REGION,
)
# [END how_to_cloud_dataproc_list_batches_operator]
# [START how_to_cloud_dataproc_delete_batch_operator]
delete_batch = DataprocDeleteBatchOperator(
task_id="delete_batch", project_id=PROJECT_ID, region=REGION, batch_id=BATCH_ID
)
delete_batch.trigger_rule = TriggerRule.ALL_DONE
delete_batch_2 = DataprocDeleteBatchOperator(
task_id="delete_batch_2", project_id=PROJECT_ID, region=REGION, batch_id=BATCH_ID_2
)
# [END how_to_cloud_dataproc_delete_batch_operator]
delete_batch.trigger_rule = TriggerRule.ALL_DONE
(
create_batch
>> create_batch_2
>> get_batch
>> get_batch_2
>> list_batches
>> delete_batch
>> delete_batch_2
)
from tests.system.utils.watcher import watcher
# This test needs watcher in order to properly mark success/failure
# when "teardown" task with trigger rule is part of the DAG
list(dag.tasks) >> watcher()
from tests.system.utils import get_test_run # noqa: E402
# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)
