Run this DAG

1. Install Astronomer CLISkip if you already have the CLI

2. Initate the project:

3. Copy and paste the code below into a file in the

dags
directory.

4. Add the following to your requirements.txt file:

5. Run the DAG:

#
# 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.
This DAG relies on the following environment variables
* GCP_PROJECT_ID - Google Cloud project for the Cloud Spanner instance.
* GCP_SPANNER_INSTANCE_ID - Cloud Spanner instance ID.
* GCP_SPANNER_DATABASE_ID - Cloud Spanner database ID.
* GCP_SPANNER_CONFIG_NAME - The name of the instance's configuration. Values are of the
form ``projects/<gcp_project>/instanceConfigs/<configuration>``. See also:
https://cloud.google.com/spanner/docs/reference/rest/v1/projects.instanceConfigs#InstanceConfig
https://cloud.google.com/spanner/docs/reference/rest/v1/projects.instanceConfigs/list#google.spanner.admin.instance.v1.InstanceAdmin.ListInstanceConfigs
* GCP_SPANNER_NODE_COUNT - Number of nodes allocated to the instance.
* GCP_SPANNER_DISPLAY_NAME - The descriptive name for this instance as it appears in UIs.
Must be unique per project and between 4 and 30 characters in length.
"""
import os
from airflow import models
from airflow.providers.google.cloud.operators.spanner import (
SpannerDeleteDatabaseInstanceOperator,
SpannerDeleteInstanceOperator,
SpannerDeployDatabaseInstanceOperator,
SpannerDeployInstanceOperator,
SpannerQueryDatabaseInstanceOperator,
SpannerUpdateDatabaseInstanceOperator,
)
from airflow.utils.dates import days_ago
GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
GCP_SPANNER_INSTANCE_ID = os.environ.get('GCP_SPANNER_INSTANCE_ID', 'testinstance')
GCP_SPANNER_DATABASE_ID = os.environ.get('GCP_SPANNER_DATABASE_ID', 'testdatabase')
GCP_SPANNER_CONFIG_NAME = os.environ.get(
'GCP_SPANNER_CONFIG_NAME', f'projects/{GCP_PROJECT_ID}/instanceConfigs/regional-europe-west3'
)
GCP_SPANNER_NODE_COUNT = os.environ.get('GCP_SPANNER_NODE_COUNT', '1')
GCP_SPANNER_DISPLAY_NAME = os.environ.get('GCP_SPANNER_DISPLAY_NAME', 'Test Instance')
# OPERATION_ID should be unique per operation
OPERATION_ID = 'unique_operation_id'
with models.DAG(
'example_gcp_spanner',
schedule_interval=None, # Override to match your needs
start_date=days_ago(1),
tags=['example'],
) as dag:
# Create
# [START howto_operator_spanner_deploy]
spanner_instance_create_task = SpannerDeployInstanceOperator(
project_id=GCP_PROJECT_ID,
instance_id=GCP_SPANNER_INSTANCE_ID,
configuration_name=GCP_SPANNER_CONFIG_NAME,
node_count=int(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=int(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(
project_id=GCP_PROJECT_ID,
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',
)
spanner_database_deploy_task2 = 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_task2',
)
# [END howto_operator_spanner_database_deploy]
# [START howto_operator_spanner_database_update]
spanner_database_update_task = SpannerUpdateDatabaseInstanceOperator(
project_id=GCP_PROJECT_ID,
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=GCP_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(
project_id=GCP_PROJECT_ID,
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',
)
spanner_instance_query_task2 = 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_task2',
)
# [END howto_operator_spanner_query]
# [START howto_operator_spanner_database_delete]
spanner_database_delete_task = SpannerDeleteDatabaseInstanceOperator(
project_id=GCP_PROJECT_ID,
instance_id=GCP_SPANNER_INSTANCE_ID,
database_id=GCP_SPANNER_DATABASE_ID,
task_id='spanner_database_delete_task',
)
spanner_database_delete_task2 = SpannerDeleteDatabaseInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID,
database_id=GCP_SPANNER_DATABASE_ID,
task_id='spanner_database_delete_task2',
)
# [END howto_operator_spanner_database_delete]
# [START howto_operator_spanner_delete]
spanner_instance_delete_task = SpannerDeleteInstanceOperator(
project_id=GCP_PROJECT_ID, instance_id=GCP_SPANNER_INSTANCE_ID, task_id='spanner_instance_delete_task'
)
spanner_instance_delete_task2 = SpannerDeleteInstanceOperator(
instance_id=GCP_SPANNER_INSTANCE_ID, task_id='spanner_instance_delete_task2'
)
# [END howto_operator_spanner_delete]
(
spanner_instance_create_task
>> spanner_instance_update_task
>> spanner_database_deploy_task
>> spanner_database_deploy_task2
>> spanner_database_update_task
>> spanner_database_update_idempotent1_task
>> spanner_database_update_idempotent2_task
>> spanner_instance_query_task
>> spanner_instance_query_task2
>> spanner_database_delete_task
>> spanner_database_delete_task2
>> spanner_instance_delete_task
>> spanner_instance_delete_task2
)