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5 changes: 0 additions & 5 deletions airflow-core/tests/unit/always/test_example_dags.py
Original file line number Diff line number Diff line change
Expand Up @@ -51,17 +51,12 @@
# Generally, these should be resolved as soon as a parameter or operator is deprecated.
# If the deprecation is postponed, the item should be added to this tuple,
# and a corresponding Issue should be created on GitHub.
"providers/google/tests/system/google/cloud/bigquery/example_bigquery_operations.py",
"providers/google/tests/system/google/cloud/dataflow/example_dataflow_sql.py",
"providers/google/tests/system/google/cloud/dataproc/example_dataproc_gke.py",
"providers/google/tests/system/google/cloud/datapipelines/example_datapipeline.py",
"providers/google/tests/system/google/cloud/gcs/example_gcs_sensor.py",
"providers/google/tests/system/google/cloud/kubernetes_engine/example_kubernetes_engine.py",
"providers/google/tests/system/google/cloud/kubernetes_engine/example_kubernetes_engine_async.py",
"providers/google/tests/system/google/cloud/kubernetes_engine/example_kubernetes_engine_job.py",
"providers/google/tests/system/google/cloud/kubernetes_engine/example_kubernetes_engine_kueue.py",
"providers/google/tests/system/google/cloud/kubernetes_engine/example_kubernetes_engine_resource.py",
"providers/google/tests/system/google/cloud/life_sciences/example_life_sciences.py",
# Deprecated Operators/Hooks, which replaced by common.sql Operators/Hooks
)

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12 changes: 12 additions & 0 deletions providers/google/docs/operators/cloud/kubernetes_engine.rst
Original file line number Diff line number Diff line change
Expand Up @@ -70,6 +70,18 @@ lot less resources wasted on idle Operators or Sensors:
:start-after: [START howto_operator_gke_create_cluster_async]
:end-before: [END howto_operator_gke_create_cluster_async]

Create GKE cluster with Ray enabled
'''''''''''''''''''''''''''''''''''

`Ray <https://docs.ray.io/en/latest/ray-overview/index.html>`__ is an open source framework to build and scale ML and Python applications.

Here is an example of a cluster definition with Ray enabled:

.. exampleinclude:: /../../google/tests/system/google/cloud/kubernetes_engine/example_kubernetes_engine_ray.py
:language: python
:start-after: [START howto_operator_gcp_gke_create_cluster_definition_with_ray]
:end-before: [END howto_operator_gcp_gke_create_cluster_definition_with_ray]


.. _howto/operator:GKEStartKueueInsideClusterOperator:

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Original file line number Diff line number Diff line change
@@ -0,0 +1,96 @@
#
# 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 creating GKE cluster with Ray enabled.
"""

from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.kubernetes_engine import (
GKECreateClusterOperator,
GKEDeleteClusterOperator,
)
from airflow.utils.trigger_rule import TriggerRule

from system.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
DAG_ID = "kubernetes_engine_ray"
GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID

GCP_LOCATION = "europe-west1"
CLUSTER_NAME_BASE = f"cluster-{DAG_ID}".replace("_", "-")
CLUSTER_NAME_FULL = CLUSTER_NAME_BASE + f"-{ENV_ID}".replace("_", "-")
CLUSTER_NAME = CLUSTER_NAME_BASE if len(CLUSTER_NAME_FULL) >= 33 else CLUSTER_NAME_FULL

# [START howto_operator_gcp_gke_create_cluster_definition_with_ray]
CLUSTER = {
"name": CLUSTER_NAME,
"node_pools": [
{
"name": f"{CLUSTER_NAME}-node",
"initial_node_count": 1,
},
],
"autopilot": {"enabled": True},
"addons_config": {
"ray_operator_config": {"enabled": True},
},
}
# [END howto_operator_gcp_gke_create_cluster_definition_with_ray]


with DAG(
DAG_ID,
schedule="@once", # Override to match your needs
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example"],
) as dag:
create_cluster = GKECreateClusterOperator(
task_id="create_cluster",
project_id=GCP_PROJECT_ID,
location=GCP_LOCATION,
body=CLUSTER,
)

delete_cluster = GKEDeleteClusterOperator(
task_id="delete_cluster",
cluster_name=CLUSTER_NAME,
project_id=GCP_PROJECT_ID,
location=GCP_LOCATION,
)
delete_cluster.trigger_rule = TriggerRule.ALL_DONE

create_cluster >> delete_cluster

from 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 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)
test_run = get_test_run(dag)