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from __future__ import annotations
from datetime import datetime
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
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_PASS = "MyAmazonPassword1"
[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'"
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"
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,
)
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_data_api_kwargs={
"database": DB_NAME,
"cluster_identifier": redshift_cluster_identifier,
"db_user": DB_LOGIN,
"wait_for_completion": True,
},
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_data_api_kwargs={
"database": DB_NAME,
"cluster_identifier": redshift_cluster_identifier,
"db_user": DB_LOGIN,
"wait_for_completion": True,
},
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_data_api_kwargs={
"database": DB_NAME,
"cluster_identifier": redshift_cluster_identifier,
"db_user": DB_LOGIN,
"wait_for_completion": True,
},
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,
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)