Source code for airflow.providers.amazon.aws.example_dags.example_redshift
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"""
This is an example dag for using `RedshiftSQLOperator` to authenticate with Amazon Redshift
then execute a simple select statement
"""
from datetime import datetime
# [START redshift_operator_howto_guide]
from airflow import DAG
from airflow.providers.amazon.aws.operators.redshift import RedshiftSQLOperator
with DAG(dag_id="redshift", start_date=datetime(2021, 1, 1), schedule_interval=None, tags=['example']) as dag:
# [START howto_operator_redshift_create_table]
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
);
""",
)
# [END howto_operator_redshift_create_table]
# [START howto_operator_redshift_populate_table]
task_insert_data = RedshiftSQLOperator(
task_id='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');",
],
)
# [END howto_operator_redshift_populate_table]
# [START howto_operator_redshift_get_all_rows]
task_get_all_table_data = RedshiftSQLOperator(
task_id='task_get_all_table_data', sql="CREATE TABLE more_fruit AS SELECT * FROM fruit;"
)
# [END howto_operator_redshift_get_all_rows]
# [START howto_operator_redshift_get_with_filter]
task_get_with_filter = RedshiftSQLOperator(
task_id='task_get_with_filter',
sql="CREATE TABLE filtered_fruit AS SELECT * FROM fruit WHERE color = '{{ params.color }}';",
params={'color': 'Red'},
)
# [END howto_operator_redshift_get_with_filter]
setup__task_create_table >> task_insert_data >> task_get_all_table_data >> task_get_with_filter
# [END redshift_operator_howto_guide]