Update the DMS Sample DAG and Docs

airflow/providers/amazon/aws/example_dags/example_dms.py

@@ -0,0 +1,347 @@
+#
+# 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.
+"""
+Note:  DMS requires you to configure specific IAM roles/permissions.  For more information, see
+https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Security.html#CHAP_Security.APIRole
+"""
+
+import json
+import os
+from datetime import datetime
+
+import boto3
+from sqlalchemy import Column, MetaData, String, Table, create_engine
+
+from airflow import DAG
+from airflow.decorators import task
+from airflow.models.baseoperator import chain
+from airflow.operators.python import get_current_context
+from airflow.providers.amazon.aws.operators.dms import (
+    DmsCreateTaskOperator,
+    DmsDeleteTaskOperator,
+    DmsDescribeTasksOperator,
+    DmsStartTaskOperator,
+    DmsStopTaskOperator,
+)
+from airflow.providers.amazon.aws.sensors.dms import DmsTaskBaseSensor, DmsTaskCompletedSensor
+
+S3_BUCKET = os.getenv('S3_BUCKET', 's3_bucket_name')
+ROLE_ARN = os.getenv('ROLE_ARN', 'arn:aws:iam::1234567890:role/s3_target_endpoint_role')
+
+# The project name will be used as a prefix for various entity names.
+# Use either PascalCase or camelCase.  While some names require kebab-case
+# and others require snake_case, they all accept mixedCase strings.
+PROJECT_NAME = 'DmsDemo'
+
+# Config values for setting up the "Source" database.
+RDS_ENGINE = 'postgres'
+RDS_PROTOCOL = 'postgresql'
+RDS_USERNAME = 'username'
+# NEVER store your production password in plaintext in a DAG like this.
+# Use Airflow Secrets or a secret manager for this in production.
+RDS_PASSWORD = 'rds_password'
+
+# Config values for RDS.
+RDS_INSTANCE_NAME = f'{PROJECT_NAME}-instance'
+RDS_DB_NAME = f'{PROJECT_NAME}_source_database'
+
+# Config values for DMS.
+DMS_REPLICATION_INSTANCE_NAME = f'{PROJECT_NAME}-replication-instance'
+DMS_REPLICATION_TASK_ID = f'{PROJECT_NAME}-replication-task'
+SOURCE_ENDPOINT_IDENTIFIER = f'{PROJECT_NAME}-source-endpoint'
+TARGET_ENDPOINT_IDENTIFIER = f'{PROJECT_NAME}-target-endpoint'
+
+# Sample data.
+TABLE_NAME = f'{PROJECT_NAME}-table'
+TABLE_HEADERS = ['apache_project', 'release_year']
+SAMPLE_DATA = [
+    ('Airflow', '2015'),
+    ('OpenOffice', '2012'),
+    ('Subversion', '2000'),
+    ('NiFi', '2006'),
+]
+TABLE_DEFINITION = {
+    'TableCount': '1',
+    'Tables': [
+        {
+            'TableName': TABLE_NAME,
+            'TableColumns': [
+                {
+                    'ColumnName': TABLE_HEADERS[0],
+                    'ColumnType': 'STRING',
+                    'ColumnNullable': 'false',
+                    'ColumnIsPk': 'true',
+                },
+                {"ColumnName": TABLE_HEADERS[1], "ColumnType": 'STRING', "ColumnLength": "4"},
+            ],
+            'TableColumnsTotal': '2',
+        }
+    ],
+}
+TABLE_MAPPINGS = {
+    'rules': [
+        {
+            'rule-type': 'selection',
+            'rule-id': '1',
+            'rule-name': '1',
+            'object-locator': {
+                'schema-name': 'public',
+                'table-name': TABLE_NAME,
+            },
+            'rule-action': 'include',
+        }
+    ]
+}
+
+
+def _create_rds_instance():
+    print('Creating RDS Instance.')
+
+    rds_client = boto3.client('rds')
+    rds_client.create_db_instance(
+        DBName=RDS_DB_NAME,
+        DBInstanceIdentifier=RDS_INSTANCE_NAME,
+        AllocatedStorage=20,
+        DBInstanceClass='db.t3.micro',
+        Engine=RDS_ENGINE,
+        MasterUsername=RDS_USERNAME,
+        MasterUserPassword=RDS_PASSWORD,
+    )
+
+    rds_client.get_waiter('db_instance_available').wait(DBInstanceIdentifier=RDS_INSTANCE_NAME)
+
+    response = rds_client.describe_db_instances(DBInstanceIdentifier=RDS_INSTANCE_NAME)
+    return response['DBInstances'][0]['Endpoint']
+
+
+def _create_rds_table(rds_endpoint):
+    print('Creating table.')
+
+    hostname = rds_endpoint['Address']
+    port = rds_endpoint['Port']
+    rds_url = f'{RDS_PROTOCOL}://{RDS_USERNAME}:{RDS_PASSWORD}@{hostname}:{port}/{RDS_DB_NAME}'
+    engine = create_engine(rds_url)
+
+    table = Table(
+        TABLE_NAME,
+        MetaData(engine),
+        Column(TABLE_HEADERS[0], String, primary_key=True),
+        Column(TABLE_HEADERS[1], String),
+    )
+
+    with engine.connect() as connection:
+        # Create the Table.
+        table.create()
+        load_data = table.insert().values(SAMPLE_DATA)
+        connection.execute(load_data)
+
+        # Read the data back to verify everything is working.
+        connection.execute(table.select())
+
+
+def _create_dms_replication_instance(ti, dms_client):
+    print('Creating replication instance.')
+    instance_arn = dms_client.create_replication_instance(
+        ReplicationInstanceIdentifier=DMS_REPLICATION_INSTANCE_NAME,
+        ReplicationInstanceClass='dms.t3.micro',
+    )['ReplicationInstance']['ReplicationInstanceArn']
+
+    ti.xcom_push(key='replication_instance_arn', value=instance_arn)
+    return instance_arn
+
+
+def _create_dms_endpoints(ti, dms_client, rds_instance_endpoint):
+    print('Creating DMS source endpoint.')
+    source_endpoint_arn = dms_client.create_endpoint(
+        EndpointIdentifier=SOURCE_ENDPOINT_IDENTIFIER,
+        EndpointType='source',
+        EngineName=RDS_ENGINE,
+        Username=RDS_USERNAME,
+        Password=RDS_PASSWORD,
+        ServerName=rds_instance_endpoint['Address'],
+        Port=rds_instance_endpoint['Port'],
+        DatabaseName=RDS_DB_NAME,
+    )['Endpoint']['EndpointArn']
+
+    print('Creating DMS target endpoint.')
+    target_endpoint_arn = dms_client.create_endpoint(
+        EndpointIdentifier=TARGET_ENDPOINT_IDENTIFIER,
+        EndpointType='target',
+        EngineName='s3',
+        S3Settings={
+            'BucketName': S3_BUCKET,
+            'BucketFolder': PROJECT_NAME,
+            'ServiceAccessRoleArn': ROLE_ARN,
+            'ExternalTableDefinition': json.dumps(TABLE_DEFINITION),
+        },
+    )['Endpoint']['EndpointArn']
+
+    ti.xcom_push(key='source_endpoint_arn', value=source_endpoint_arn)
+    ti.xcom_push(key='target_endpoint_arn', value=target_endpoint_arn)
+
+
+def _await_setup_assets(dms_client, instance_arn):
+    print("Awaiting asset provisioning.")
+    dms_client.get_waiter('replication_instance_available').wait(
+        Filters=[{'Name': 'replication-instance-arn', 'Values': [instance_arn]}]
+    )
+
+
+def _delete_rds_instance():
+    print('Deleting RDS Instance.')
+
+    rds_client = boto3.client('rds')
+    rds_client.delete_db_instance(
+        DBInstanceIdentifier=RDS_INSTANCE_NAME,
+        SkipFinalSnapshot=True,
+    )
+
+    rds_client.get_waiter('db_instance_deleted').wait(DBInstanceIdentifier=RDS_INSTANCE_NAME)
+
+
+def _delete_dms_assets(dms_client):
+    ti = get_current_context()['ti']
+    replication_instance_arn = ti.xcom_pull(key='replication_instance_arn')
+    source_arn = ti.xcom_pull(key='source_endpoint_arn')
+    target_arn = ti.xcom_pull(key='target_endpoint_arn')
+
+    print('Deleting DMS assets.')
+    dms_client.delete_replication_instance(ReplicationInstanceArn=replication_instance_arn)
+    dms_client.delete_endpoint(EndpointArn=source_arn)
+    dms_client.delete_endpoint(EndpointArn=target_arn)
+
+
+def _await_all_teardowns(dms_client):
+    print('Awaiting tear-down.')
+    dms_client.get_waiter('replication_instance_deleted').wait(
+        Filters=[{'Name': 'replication-instance-id', 'Values': [DMS_REPLICATION_INSTANCE_NAME]}]
+    )
+
+    dms_client.get_waiter('endpoint_deleted').wait(
+        Filters=[
+            {
+                'Name': 'endpoint-id',
+                'Values': [SOURCE_ENDPOINT_IDENTIFIER, TARGET_ENDPOINT_IDENTIFIER],
+            }
+        ]
+    )
+
+
+@task
+def set_up():
+    ti = get_current_context()['ti']
+    dms_client = boto3.client('dms')
+
+    rds_instance_endpoint = _create_rds_instance()
+    _create_rds_table(rds_instance_endpoint)
+    instance_arn = _create_dms_replication_instance(ti, dms_client)
+    _create_dms_endpoints(ti, dms_client, rds_instance_endpoint)
+    _await_setup_assets(dms_client, instance_arn)
+
+
+@task(trigger_rule='all_done')
+def clean_up():
+    dms_client = boto3.client('dms')
+
+    _delete_rds_instance()
+    _delete_dms_assets(dms_client)
+    _await_all_teardowns(dms_client)
+
+
+with DAG(
+    dag_id='example_dms',
+    schedule_interval=None,
+    start_date=datetime(2021, 1, 1),
+    tags=['example'],
+    catchup=False,
+) as dag:
+
+    # [START howto_operator_dms_create_task]
+    create_task = DmsCreateTaskOperator(
+        task_id='create_task',
+        replication_task_id=DMS_REPLICATION_TASK_ID,
+        source_endpoint_arn='{{ ti.xcom_pull(key="source_endpoint_arn") }}',
+        target_endpoint_arn='{{ ti.xcom_pull(key="target_endpoint_arn") }}',
+        replication_instance_arn='{{ ti.xcom_pull(key="replication_instance_arn") }}',
+        table_mappings=TABLE_MAPPINGS,
+    )
+    # [END howto_operator_dms_create_task]
+
+    # [START howto_operator_dms_start_task]
+    start_task = DmsStartTaskOperator(
+        task_id='start_task',
+        replication_task_arn=create_task.output,
+    )
+    # [END howto_operator_dms_start_task]
+
+    # [START howto_operator_dms_describe_tasks]
+    describe_tasks = DmsDescribeTasksOperator(
+        task_id='describe_tasks',
+        describe_tasks_kwargs={
+            'Filters': [
+                {
+                    'Name': 'replication-instance-arn',
+                    'Values': ['{{ ti.xcom_pull(key="replication_instance_arn") }}'],
+                }
+            ]
+        },
+        do_xcom_push=False,
+    )
+    # [END howto_operator_dms_describe_tasks]
+
+    await_task_start = DmsTaskBaseSensor(
+        task_id='await_task_start',
+        replication_task_arn=create_task.output,
+        target_statuses=['running'],
+        termination_statuses=['stopped', 'deleting', 'failed'],
+    )
+
+    # [START howto_operator_dms_stop_task]
+    stop_task = DmsStopTaskOperator(
+        task_id='stop_task',
+        replication_task_arn=create_task.output,
+    )
+    # [END howto_operator_dms_stop_task]
+
+    # TaskCompletedSensor actually waits until task reaches the "Stopped" state, so it will work here.
+    # [START howto_operator_dms_task_completed_sensor]
+    await_task_stop = DmsTaskCompletedSensor(
+        task_id='await_task_stop',
+        replication_task_arn=create_task.output,
+    )
+    # [END howto_operator_dms_task_completed_sensor]
+
+    # [START howto_operator_dms_delete_task]
+    delete_task = DmsDeleteTaskOperator(
+        task_id='delete_task',
+        replication_task_arn=create_task.output,
+        trigger_rule='all_done',
+    )
+    # [END howto_operator_dms_delete_task]
+
+    chain(
+        set_up()
+        >> create_task
+        >> start_task
+        >> describe_tasks
+        >> await_task_start
+        >> stop_task
+        >> await_task_stop
+        >> delete_task
+        >> clean_up()
+    )