john-jac commented on a change in pull request #19137: URL: https://github.com/apache/airflow/pull/19137#discussion_r745972830
########## File path: airflow/providers/amazon/aws/hooks/redshift_data.py ########## @@ -0,0 +1,152 @@ +# +# 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. +"""Interact with AWS Redshift clusters.""" + +from typing import Optional + +from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook + + +class RedshiftDataHook(AwsBaseHook): + """ + Interact with AWS Redshift Data, using the boto3 library + + Additional arguments (such as ``aws_conn_id``) may be specified and + are passed down to the underlying AwsBaseHook. + + .. seealso:: + :class:`~airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook` + + :param aws_conn_id: The Airflow connection used for AWS credentials. + :type aws_conn_id: str + """ + + def __init__(self, *args, **kwargs) -> None: + kwargs["client_type"] = "redshift-data" + super().__init__(*args, **kwargs) + + def execute_statement( + self, + cluster_identifier: str, + database: str, + sql: str, + db_user: Optional[str] = "", + parameters: Optional[list] = None, + secret_arn: Optional[str] = "", + statement_name: Optional[str] = "", + with_event: Optional[bool] = False, + ): + """ + Runs an SQL statement, which can be data manipulation language (DML) + or data definition language (DDL) + + :param cluster_identifier: unique identifier of a cluster + :type cluster_identifier: str + :param database: the name of the database + :type database: str + :param sql: the SQL statement text to run + :type sql: str + :param db_user: the database user name + :type db_user: str + :param parameters: the parameters for the SQL statement + :type parameters: list + :param secret_arn: the name or ARN of the secret that enables db access + :type secret_arn: str + :param statement_name: the name of the SQL statement + :type statement_name: str + :param with_event: indicates whether to send an event to EventBridge + :type with_event: bool + + """ + """only provide parameter argument if it is valid""" Review comment: Done ########## File path: airflow/providers/amazon/aws/example_dags/example_redshift_data_execute_sql.py ########## @@ -0,0 +1,83 @@ +# 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, timedelta +from os import getenv + +from airflow.decorators import dag, task +from airflow.providers.amazon.aws.hooks.redshift_data import RedshiftDataHook +from airflow.providers.amazon.aws.operators.redshift_data import RedshiftDataOperator + +# [START howto_operator_redshift_data_env_variables] +REDSHIFT_CLUSTER_IDENTIFIER = getenv("REDSHIFT_CLUSTER_IDENTIFIER", "test-cluster") +REDSHIFT_DATABASE = getenv("REDSHIFT_DATABASE", "test-database") +REDSHIFT_DATABASE_USER = getenv("REDSHIFT_DATABASE_USER", "awsuser") +# [END howto_operator_redshift_data_env_variables] + +REDSHIFT_QUERY = """ +SELECT table_schema, + table_name +FROM information_schema.tables +WHERE table_schema NOT IN ('information_schema', 'pg_catalog') + AND table_type = 'BASE TABLE' +ORDER BY table_schema, + table_name; + """ +POLL_INTERVAL = 10 +TIMEOUT = 600 + + +# [START howto_redshift_data] +@dag( + dag_id='example_redshift_data', + schedule_interval=None, + start_date=datetime(2021, 1, 1), + dagrun_timeout=timedelta(minutes=60), + tags=['example'], + catchup=False, +) +def example_redshift_data(): + @task(task_id="output_results") + def output_results_fn(id): + """This is a python decorator task that returns a Redshift query""" + hook = RedshiftDataHook() + + resp = hook.get_statement_result( + id=id, + ) + print(resp) + return resp + + # Run a SQL statement and wait for completion + redshift_query = RedshiftDataOperator( + task_id='redshift_query', + cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER, + database=REDSHIFT_DATABASE, + db_user=REDSHIFT_DATABASE_USER, + sql=REDSHIFT_QUERY, + timeout=TIMEOUT, + poll_interval=POLL_INTERVAL, + ) + + # Using a task-decorated function to output the list of tables in a Redshift cluster + redshift_output = output_results_fn("{{task_instance.xcom_pull('redshift_query', key='return_value')}}") + + redshift_query >> redshift_output Review comment: Done -- This is an automated message from the Apache Git Service. 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