#
# 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 datetime import datetime
from airflow import DAG
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.redshift_sql import RedshiftSQLOperator
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import set_env_id
[docs]DAG_ID = 'example_redshift_sql'
with DAG(
dag_id=DAG_ID,
start_date=datetime(2021, 1, 1),
schedule_interval=None,
catchup=False,
tags=['example'],
) as dag:
[docs] setup__task_create_table = RedshiftSQLOperator(
task_id='setup__create_table',
sql="""
CREATE TABLE IF NOT EXISTS fruit (
fruit_id INTEGER,
name VARCHAR NOT NULL,
color VARCHAR NOT NULL
);
""",
)
setup__task_insert_data = RedshiftSQLOperator(
task_id='setup__task_insert_data',
sql=[
"INSERT INTO fruit VALUES ( 1, 'Banana', 'Yellow');",
"INSERT INTO fruit VALUES ( 2, 'Apple', 'Red');",
"INSERT INTO fruit VALUES ( 3, 'Lemon', 'Yellow');",
"INSERT INTO fruit VALUES ( 4, 'Grape', 'Purple');",
"INSERT INTO fruit VALUES ( 5, 'Pear', 'Green');",
"INSERT INTO fruit VALUES ( 6, 'Strawberry', 'Red');",
],
)
# [START howto_operator_redshift_sql]
task_select_data = RedshiftSQLOperator(
task_id='task_get_all_table_data', sql="""CREATE TABLE more_fruit AS SELECT * FROM fruit;"""
)
# [END howto_operator_redshift_sql]
# [START howto_operator_redshift_sql_with_params]
task_select_filtered_data = RedshiftSQLOperator(
task_id='task_get_filtered_table_data',
sql="""CREATE TABLE filtered_fruit AS SELECT * FROM fruit WHERE color = '{{ params.color }}';""",
params={'color': 'Red'},
)
# [END howto_operator_redshift_sql_with_params]
teardown__task_drop_table = RedshiftSQLOperator(
task_id='teardown__drop_table',
sql='DROP TABLE IF EXISTS fruit',
trigger_rule=TriggerRule.ALL_DONE,
)
chain(
setup__task_create_table,
setup__task_insert_data,
[task_select_data, task_select_filtered_data],
teardown__task_drop_table,
)
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)
