#
# 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 that creates, updates, queries and deletes a Cloud Spanner instance.
"""
from __future__ import annotations
import os
from datetime import datetime
from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.spanner import (
SpannerDeleteDatabaseInstanceOperator,
SpannerDeleteInstanceOperator,
SpannerDeployDatabaseInstanceOperator,
SpannerDeployInstanceOperator,
SpannerQueryDatabaseInstanceOperator,
SpannerUpdateDatabaseInstanceOperator,
)
from airflow.utils.trigger_rule import TriggerRule
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]GCP_SPANNER_INSTANCE_ID = f"instance-{DAG_ID}-{ENV_ID}"
[docs]GCP_SPANNER_DATABASE_ID = f"database-{DAG_ID}-{ENV_ID}"
[docs]GCP_SPANNER_CONFIG_NAME = f"projects/{PROJECT_ID}/instanceConfigs/regional-europe-west3"
[docs]GCP_SPANNER_NODE_COUNT = 1
[docs]GCP_SPANNER_DISPLAY_NAME = "InstanceSpanner"
# OPERATION_ID should be unique per operation
[docs]OPERATION_ID = "unique_operation_id"
with DAG(
DAG_ID,
schedule="@once", # Override to match your needs
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "spanner"],
) as dag:
# Create
# [START howto_operator_spanner_deploy]
[docs] spanner_instance_create_task = SpannerDeployInstanceOperator(
project_id=PROJECT_ID,
instance_id=GCP_SPANNER_INSTANCE_ID,
configuration_name=GCP_SPANNER_CONFIG_NAME,
node_count=GCP_SPANNER_NODE_COUNT,
display_name=GCP_SPANNER_DISPLAY_NAME,
task_id="spanner_instance_create_task",
)
spanner_instance_update_task = SpannerDeployInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID,
configuration_name=GCP_SPANNER_CONFIG_NAME,
node_count=GCP_SPANNER_NODE_COUNT + 1,
display_name=GCP_SPANNER_DISPLAY_NAME + "_updated",
task_id="spanner_instance_update_task",
)
# [END howto_operator_spanner_deploy]
# [START howto_operator_spanner_database_deploy]
spanner_database_deploy_task = SpannerDeployDatabaseInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID,
database_id=GCP_SPANNER_DATABASE_ID,
ddl_statements=[
"CREATE TABLE my_table1 (id INT64, name STRING(MAX)) PRIMARY KEY (id)",
"CREATE TABLE my_table2 (id INT64, name STRING(MAX)) PRIMARY KEY (id)",
],
task_id="spanner_database_deploy_task",
)
# [END howto_operator_spanner_database_deploy]
# [START howto_operator_spanner_database_update]
spanner_database_update_task = SpannerUpdateDatabaseInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID,
database_id=GCP_SPANNER_DATABASE_ID,
ddl_statements=[
"CREATE TABLE my_table3 (id INT64, name STRING(MAX)) PRIMARY KEY (id)",
],
task_id="spanner_database_update_task",
)
# [END howto_operator_spanner_database_update]
# [START howto_operator_spanner_database_update_idempotent]
spanner_database_update_idempotent1_task = SpannerUpdateDatabaseInstanceOperator(
project_id=PROJECT_ID,
instance_id=GCP_SPANNER_INSTANCE_ID,
database_id=GCP_SPANNER_DATABASE_ID,
operation_id=OPERATION_ID,
ddl_statements=[
"CREATE TABLE my_table_unique (id INT64, name STRING(MAX)) PRIMARY KEY (id)",
],
task_id="spanner_database_update_idempotent1_task",
)
spanner_database_update_idempotent2_task = SpannerUpdateDatabaseInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID,
database_id=GCP_SPANNER_DATABASE_ID,
operation_id=OPERATION_ID,
ddl_statements=[
"CREATE TABLE my_table_unique (id INT64, name STRING(MAX)) PRIMARY KEY (id)",
],
task_id="spanner_database_update_idempotent2_task",
)
# [END howto_operator_spanner_database_update_idempotent]
# [START howto_operator_spanner_query]
spanner_instance_query_task = SpannerQueryDatabaseInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID,
database_id=GCP_SPANNER_DATABASE_ID,
query=["DELETE FROM my_table2 WHERE true"],
task_id="spanner_instance_query_task",
)
# [END howto_operator_spanner_query]
# [START howto_operator_spanner_database_delete]
spanner_database_delete_task = SpannerDeleteDatabaseInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID,
database_id=GCP_SPANNER_DATABASE_ID,
task_id="spanner_database_delete_task",
)
# [END howto_operator_spanner_database_delete]
spanner_database_delete_task.trigger_rule = TriggerRule.ALL_DONE
# [START howto_operator_spanner_delete]
spanner_instance_delete_task = SpannerDeleteInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID, task_id="spanner_instance_delete_task"
)
# [END howto_operator_spanner_delete]
spanner_instance_delete_task.trigger_rule = TriggerRule.ALL_DONE
(
spanner_instance_create_task
>> spanner_instance_update_task
>> spanner_database_deploy_task
>> spanner_database_update_task
>> spanner_database_update_idempotent1_task
>> spanner_database_update_idempotent2_task
>> spanner_instance_query_task
>> spanner_database_delete_task
>> spanner_instance_delete_task
)
# ### Everything below this line is not part of example ###
# ### Just for system tests purpose ###
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)