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#
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from __future__ import annotations
from datetime import datetime
import boto3
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.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.providers.common.sql.operators.sql import SQLExecuteQueryOperator
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
from tests.system.providers.amazon.aws.utils.ec2 import get_default_vpc_id
[docs]DAG_ID = "example_redshift_to_s3"
[docs]DB_PASS = "MyAmazonPassword1"
[docs]IP_PERMISSION = {
"FromPort": -1,
"IpProtocol": "All",
"IpRanges": [{"CidrIp": "0.0.0.0/0", "Description": "Test description"}],
}
[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'"
[docs]sys_test_context_task = SystemTestContextBuilder().build()
@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()
@task
[docs]def setup_security_group(sec_group_name: str, ip_permissions: list[dict], vpc_id: str):
client = boto3.client("ec2")
security_group = client.create_security_group(
Description="Redshift-system-test", GroupName=sec_group_name, VpcId=vpc_id
)
client.get_waiter("security_group_exists").wait(
GroupIds=[security_group["GroupId"]],
GroupNames=[sec_group_name],
WaiterConfig={"Delay": 15, "MaxAttempts": 4},
)
client.authorize_security_group_ingress(
GroupId=security_group["GroupId"], GroupName=sec_group_name, IpPermissions=ip_permissions
)
return security_group["GroupId"]
@task(trigger_rule=TriggerRule.ALL_DONE)
[docs]def delete_security_group(sec_group_id: str, sec_group_name: str):
boto3.client("ec2").delete_security_group(GroupId=sec_group_id, GroupName=sec_group_name)
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]
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"
get_vpc_id = get_default_vpc_id()
set_up_sg = setup_security_group(sg_name, [IP_PERMISSION], get_vpc_id)
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=[set_up_sg],
publicly_accessible=True,
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 = SQLExecuteQueryOperator(
task_id="create_table_redshift_data",
conn_id=conn_id_name,
sql=SQL_CREATE_TABLE,
)
insert_data = SQLExecuteQueryOperator(
task_id="insert_data",
conn_id=conn_id_name,
sql=SQL_INSERT_DATA,
)
# [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 = SQLExecuteQueryOperator(
task_id="drop_table",
conn_id=conn_id_name,
sql=SQL_DROP_TABLE,
trigger_rule=TriggerRule.ALL_DONE,
)
delete_cluster = RedshiftDeleteClusterOperator(
task_id="delete_cluster",
cluster_identifier=redshift_cluster_identifier,
trigger_rule=TriggerRule.ALL_DONE,
)
delete_sg = delete_security_group(
sec_group_id=set_up_sg,
sec_group_name=sg_name,
)
delete_bucket = S3DeleteBucketOperator(
task_id="delete_bucket",
bucket_name=bucket_name,
force_delete=True,
trigger_rule=TriggerRule.ALL_DONE,
)
chain(
# TEST SETUP
test_context,
set_up_sg,
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_sg,
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)
