Source code for tests.system.providers.amazon.aws.example_redshift_s3_transfers

# 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.
from __future__ import annotations

from datetime import datetime

from airflow import settings
from airflow.decorators import task
from airflow.models import Connection
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.amazon.aws.hooks.redshift_cluster import RedshiftHook
from airflow.providers.amazon.aws.operators.redshift_cluster import (
    RedshiftCreateClusterOperator,
    RedshiftDeleteClusterOperator,
)
from airflow.providers.amazon.aws.operators.redshift_data import RedshiftDataOperator
from airflow.providers.amazon.aws.operators.s3 import (
    S3CreateBucketOperator,
    S3CreateObjectOperator,
    S3DeleteBucketOperator,
)
from airflow.providers.amazon.aws.sensors.redshift_cluster import RedshiftClusterSensor
from airflow.providers.amazon.aws.sensors.s3 import S3KeySensor
from airflow.providers.amazon.aws.transfers.redshift_to_s3 import RedshiftToS3Operator
from airflow.providers.amazon.aws.transfers.s3_to_redshift import S3ToRedshiftOperator
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder

[docs]DAG_ID = "example_redshift_to_s3"
# Externally fetched variables:
[docs]SECURITY_GROUP_KEY = "SECURITY_GROUP"
[docs]CLUSTER_SUBNET_GROUP_KEY = "CLUSTER_SUBNET_GROUP"
[docs]sys_test_context_task = ( SystemTestContextBuilder().add_variable(SECURITY_GROUP_KEY).add_variable(CLUSTER_SUBNET_GROUP_KEY).build() )
[docs]DB_LOGIN = "adminuser"
[docs]DB_PASS = "MyAmazonPassword1"
[docs]DB_NAME = "dev"
[docs]S3_KEY = "s3_output_"
[docs]S3_KEY_2 = "s3_key_2"
[docs]S3_KEY_PREFIX = "s3_k"
[docs]REDSHIFT_TABLE = "test_table"
[docs]SQL_CREATE_TABLE = f""" CREATE TABLE IF NOT EXISTS {REDSHIFT_TABLE} ( fruit_id INTEGER, name VARCHAR NOT NULL, color VARCHAR NOT NULL ); """
[docs]SQL_INSERT_DATA = f"INSERT INTO {REDSHIFT_TABLE} VALUES ( 1, 'Banana', 'Yellow');"
[docs]SQL_DROP_TABLE = f"DROP TABLE IF EXISTS {REDSHIFT_TABLE};"
[docs]DATA = "0, 'Airflow', 'testing'"
@task
[docs]def create_connection(conn_id_name: str, cluster_id: str): redshift_hook = RedshiftHook() cluster_endpoint = redshift_hook.get_conn().describe_clusters(ClusterIdentifier=cluster_id)["Clusters"][0] conn = Connection( conn_id=conn_id_name, conn_type="redshift", host=cluster_endpoint["Endpoint"]["Address"], login=DB_LOGIN, password=DB_PASS, port=cluster_endpoint["Endpoint"]["Port"], schema=cluster_endpoint["DBName"], ) session = settings.Session() session.add(conn) session.commit()
with DAG( dag_id=DAG_ID, start_date=datetime(2021, 1, 1), schedule="@once", catchup=False, tags=["example"], ) as dag:
[docs] test_context = sys_test_context_task()
env_id = test_context[ENV_ID_KEY] security_group_id = test_context[SECURITY_GROUP_KEY] cluster_subnet_group_name = test_context[CLUSTER_SUBNET_GROUP_KEY] redshift_cluster_identifier = f"{env_id}-redshift-cluster" conn_id_name = f"{env_id}-conn-id" sg_name = f"{env_id}-sg" bucket_name = f"{env_id}-bucket" create_bucket = S3CreateBucketOperator( task_id="s3_create_bucket", bucket_name=bucket_name, ) create_cluster = RedshiftCreateClusterOperator( task_id="create_cluster", cluster_identifier=redshift_cluster_identifier, vpc_security_group_ids=[security_group_id], cluster_subnet_group_name=cluster_subnet_group_name, publicly_accessible=False, cluster_type="single-node", node_type="dc2.large", master_username=DB_LOGIN, master_user_password=DB_PASS, ) wait_cluster_available = RedshiftClusterSensor( task_id="wait_cluster_available", cluster_identifier=redshift_cluster_identifier, target_status="available", poke_interval=5, timeout=60 * 30, ) set_up_connection = create_connection(conn_id_name, cluster_id=redshift_cluster_identifier) create_object = S3CreateObjectOperator( task_id="create_object", s3_bucket=bucket_name, s3_key=S3_KEY_2, data=DATA, replace=True, ) create_table_redshift_data = RedshiftDataOperator( task_id="create_table_redshift_data", cluster_identifier=redshift_cluster_identifier, database=DB_NAME, db_user=DB_LOGIN, sql=SQL_CREATE_TABLE, wait_for_completion=True, ) insert_data = RedshiftDataOperator( task_id="insert_data", cluster_identifier=redshift_cluster_identifier, database=DB_NAME, db_user=DB_LOGIN, sql=SQL_INSERT_DATA, wait_for_completion=True, ) # [START howto_transfer_redshift_to_s3] transfer_redshift_to_s3 = RedshiftToS3Operator( task_id="transfer_redshift_to_s3", redshift_conn_id=conn_id_name, s3_bucket=bucket_name, s3_key=S3_KEY, schema="PUBLIC", table=REDSHIFT_TABLE, ) # [END howto_transfer_redshift_to_s3] check_if_key_exists = S3KeySensor( task_id="check_if_key_exists", bucket_name=bucket_name, bucket_key=f"{S3_KEY}/{REDSHIFT_TABLE}_0000_part_00", ) # [START howto_transfer_s3_to_redshift] transfer_s3_to_redshift = S3ToRedshiftOperator( task_id="transfer_s3_to_redshift", redshift_conn_id=conn_id_name, s3_bucket=bucket_name, s3_key=S3_KEY_2, schema="PUBLIC", table=REDSHIFT_TABLE, copy_options=["csv"], ) # [END howto_transfer_s3_to_redshift] # [START howto_transfer_s3_to_redshift_multiple_keys] transfer_s3_to_redshift_multiple = S3ToRedshiftOperator( task_id="transfer_s3_to_redshift_multiple", redshift_conn_id=conn_id_name, s3_bucket=bucket_name, s3_key=S3_KEY_PREFIX, schema="PUBLIC", table=REDSHIFT_TABLE, copy_options=["csv"], ) # [END howto_transfer_s3_to_redshift_multiple_keys] drop_table = RedshiftDataOperator( task_id="drop_table", cluster_identifier=redshift_cluster_identifier, database=DB_NAME, db_user=DB_LOGIN, sql=SQL_DROP_TABLE, wait_for_completion=True, trigger_rule=TriggerRule.ALL_DONE, ) delete_cluster = RedshiftDeleteClusterOperator( task_id="delete_cluster", cluster_identifier=redshift_cluster_identifier, trigger_rule=TriggerRule.ALL_DONE, ) delete_bucket = S3DeleteBucketOperator( task_id="delete_bucket", bucket_name=bucket_name, force_delete=True, trigger_rule=TriggerRule.ALL_DONE, ) chain( # TEST SETUP test_context, create_bucket, create_cluster, wait_cluster_available, set_up_connection, create_object, create_table_redshift_data, insert_data, # TEST BODY transfer_redshift_to_s3, check_if_key_exists, transfer_s3_to_redshift, transfer_s3_to_redshift_multiple, # TEST TEARDOWN drop_table, delete_cluster, delete_bucket, ) 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)

Was this entry helpful?