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from datetime import datetime
from airflow import DAG
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.redshift_sql import RedshiftSQLOperator
with DAG(
dag_id="example_redshift_sql",
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',
)
chain(
setup__task_create_table,
setup__task_insert_data,
[task_select_data, task_select_filtered_data],
teardown__task_drop_table,
)
