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"""
Example Airflow DAG that uses Google Cloud Batch Operators.
"""
from __future__ import annotations
import os
from datetime import datetime
from google.cloud import batch_v1
from airflow.models.dag import DAG
from airflow.operators.python import PythonOperator
from airflow.providers.google.cloud.operators.cloud_batch import (
CloudBatchDeleteJobOperator,
CloudBatchListJobsOperator,
CloudBatchListTasksOperator,
CloudBatchSubmitJobOperator,
)
from airflow.utils.trigger_rule import TriggerRule
from providers.tests.system.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
[docs]job_name_prefix = "batch"
[docs]job1_name = f"{job_name_prefix}-{DAG_ID}-{ENV_ID}-1".replace("_", "-")
[docs]job2_name = f"{job_name_prefix}-{DAG_ID}-{ENV_ID}-2".replace("_", "-")
[docs]list_jobs_task_name = "list-jobs"
[docs]list_tasks_task_name = "list-tasks"
def _assert_jobs(ti):
job_names = ti.xcom_pull(task_ids=[list_jobs_task_name], key="return_value")
job_names_str = ""
if job_names and len(job_names) > 0:
for job in job_names[0]:
job_names_str += job["name"].split("/")[-1] + " "
assert job1_name in job_names_str
assert job2_name in job_names_str
def _assert_tasks(ti):
tasks_names = ti.xcom_pull(task_ids=[list_tasks_task_name], key="return_value")
assert len(tasks_names[0]) == 2
assert "tasks/0" in tasks_names[0][0]["name"]
assert "tasks/1" in tasks_names[0][1]["name"]
# [START howto_operator_batch_job_creation]
def _create_job():
runnable = batch_v1.Runnable()
runnable.container = batch_v1.Runnable.Container()
runnable.container.image_uri = "gcr.io/google-containers/busybox"
runnable.container.entrypoint = "/bin/sh"
runnable.container.commands = [
"-c",
"echo Hello world! This is task ${BATCH_TASK_INDEX}.\
This job has a total of ${BATCH_TASK_COUNT} tasks.",
]
task = batch_v1.TaskSpec()
task.runnables = [runnable]
resources = batch_v1.ComputeResource()
resources.cpu_milli = 2000
resources.memory_mib = 16
task.compute_resource = resources
task.max_retry_count = 2
group = batch_v1.TaskGroup()
group.task_count = 2
group.task_spec = task
policy = batch_v1.AllocationPolicy.InstancePolicy()
policy.machine_type = "e2-standard-4"
instances = batch_v1.AllocationPolicy.InstancePolicyOrTemplate()
instances.policy = policy
allocation_policy = batch_v1.AllocationPolicy()
allocation_policy.instances = [instances]
job = batch_v1.Job()
job.task_groups = [group]
job.allocation_policy = allocation_policy
job.labels = {"env": "testing", "type": "container"}
job.logs_policy = batch_v1.LogsPolicy()
job.logs_policy.destination = batch_v1.LogsPolicy.Destination.CLOUD_LOGGING
return job
# [END howto_operator_batch_job_creation]
with DAG(
DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "batch"],
) as dag:
# [START howto_operator_batch_submit_job]
[docs] submit1 = CloudBatchSubmitJobOperator(
task_id="submit-job1",
project_id=PROJECT_ID,
region=REGION,
job_name=job1_name,
job=_create_job(),
dag=dag,
deferrable=False,
)
# [END howto_operator_batch_submit_job]
# [START howto_operator_batch_submit_job_deferrable_mode]
submit2 = CloudBatchSubmitJobOperator(
task_id="submit-job2",
project_id=PROJECT_ID,
region=REGION,
job_name=job2_name,
job=batch_v1.Job.to_dict(_create_job()),
dag=dag,
deferrable=True,
)
# [END howto_operator_batch_submit_job_deferrable_mode]
# [START howto_operator_batch_list_tasks]
list_tasks = CloudBatchListTasksOperator(
task_id=list_tasks_task_name, project_id=PROJECT_ID, region=REGION, job_name=job1_name, dag=dag
)
# [END howto_operator_batch_list_tasks]
assert_tasks = PythonOperator(task_id="assert-tasks", python_callable=_assert_tasks, dag=dag)
# [START howto_operator_batch_list_jobs]
list_jobs = CloudBatchListJobsOperator(
task_id=list_jobs_task_name,
project_id=PROJECT_ID,
region=REGION,
limit=10,
filter=f"name:projects/{PROJECT_ID}/locations/{REGION}/jobs/{job_name_prefix}*",
dag=dag,
)
# [END howto_operator_batch_list_jobs]
get_name = PythonOperator(task_id="assert-jobs", python_callable=_assert_jobs, dag=dag)
# [START howto_operator_delete_job]
delete_job1 = CloudBatchDeleteJobOperator(
task_id="delete-job1",
project_id=PROJECT_ID,
region=REGION,
job_name=job1_name,
dag=dag,
trigger_rule=TriggerRule.ALL_DONE,
)
# [END howto_operator_delete_job]
delete_job2 = CloudBatchDeleteJobOperator(
task_id="delete-job2",
project_id=PROJECT_ID,
region=REGION,
job_name=job2_name,
dag=dag,
trigger_rule=TriggerRule.ALL_DONE,
)
([submit1, submit2] >> list_tasks >> assert_tasks >> list_jobs >> get_name >> [delete_job1, delete_job2])
from dev.tests_common.test_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 dev.tests_common.test_utils.system_tests 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)