Source code for tests.system.providers.amazon.aws.example_sql_to_s3

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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, S3DeleteBucketOperator
from airflow.providers.amazon.aws.sensors.redshift_cluster import RedshiftClusterSensor
from airflow.providers.amazon.aws.transfers.sql_to_s3 import SqlToS3Operator
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder

[docs]DAG_ID = "example_sql_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]REDSHIFT_TABLE = "test_table"
[docs]SQL_QUERY = f"SELECT * FROM {REDSHIFT_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');"
@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}-s3-bucket" key = f"{env_id}-key" create_bucket = S3CreateBucketOperator( task_id="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=15, timeout=60 * 30, ) set_up_connection = create_connection(conn_id_name, cluster_id=redshift_cluster_identifier) 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_sql_to_s3] sql_to_s3_task = SqlToS3Operator( task_id="sql_to_s3_task", sql_conn_id=conn_id_name, query=SQL_QUERY, s3_bucket=bucket_name, s3_key=key, replace=True, ) # [END howto_transfer_sql_to_s3] # [START howto_transfer_sql_to_s3_with_groupby_param] sql_to_s3_task_with_groupby = SqlToS3Operator( task_id="sql_to_s3_with_groupby_task", sql_conn_id=conn_id_name, query=SQL_QUERY, s3_bucket=bucket_name, s3_key=key, replace=True, groupby_kwargs={"by": "color"}, ) # [END howto_transfer_sql_to_s3_with_groupby_param] delete_bucket = S3DeleteBucketOperator( task_id="delete_bucket", bucket_name=bucket_name, force_delete=True, trigger_rule=TriggerRule.ALL_DONE, ) delete_cluster = RedshiftDeleteClusterOperator( task_id="delete_cluster", cluster_identifier=redshift_cluster_identifier, trigger_rule=TriggerRule.ALL_DONE, ) chain( # TEST SETUP test_context, create_bucket, create_cluster, wait_cluster_available, set_up_connection, create_table_redshift_data, insert_data, # TEST BODY sql_to_s3_task, sql_to_s3_task_with_groupby, # TEST TEARDOWN delete_bucket, delete_cluster, ) 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)

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