john-jac commented on a change in pull request #19137:
URL: https://github.com/apache/airflow/pull/19137#discussion_r741517446



##########
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"""
+        if parameters:
+            response = self.get_conn().execute_statement(
+                ClusterIdentifier=cluster_identifier,
+                Database=database,
+                Sql=sql,
+                DbUser=db_user,
+                WithEvent=with_event,
+                SecretArn=secret_arn,
+                StatementName=statement_name,
+                Parameters=parameters,
+            )
+        else:
+            response = self.get_conn().execute_statement(
+                ClusterIdentifier=cluster_identifier,
+                Database=database,
+                Sql=sql,
+                DbUser=db_user,
+                WithEvent=with_event,
+                SecretArn=secret_arn,
+                StatementName=statement_name,
+            )

Review comment:
       In testing, passing None caused a failure in boto3 as invalid 
parameters.  That's why I had to break it out into two different calls.

##########
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

Review comment:
       For this first release the aim is parity with the Postgres operator, 
which I don't believe returns a full set of results (but I could be mistaken).  
Certainly for a future release we could break this out, and in fact it would be 
good to add a sensor as well so that the SQL statement can be performed 
asynchronously.

##########
File path: airflow/providers/amazon/aws/operators/redshift_data.py
##########
@@ -0,0 +1,127 @@
+#
+# 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 time import sleep
+from typing import Optional
+
+from airflow.exceptions import AirflowException
+from airflow.models import BaseOperator
+from airflow.providers.amazon.aws.hooks.redshift_data import RedshiftDataHook
+
+
+class RedshiftDataOperator(BaseOperator):
+    """
+    Executes SQL Statements against an Amazon Redshift cluster using Redshift 
Data
+
+    .. seealso::
+        For more information on how to use this operator, take a look at the 
guide:
+        :ref:`howto/operator:RedshiftDataOperator`
+
+    :param sql: the sql code to be executed
+    :type sql: Can receive a str representing a sql statement,
+        or an iterable of str (sql statements)
+    :param aws_conn_id: AWS connection id (default: aws_default)
+    :type aws_conn_id: str
+    :param parameters: (optional) the parameters to render the SQL query with.
+    :type parameters: dict or iterable
+    :param autocommit: if True, each command is automatically committed.
+        (default value: False)
+    :type autocommit: bool
+    """
+
+    template_fields = ('sql',)
+    template_ext = ('.sql',)
+
+    def __init__(
+        self,
+        *,
+        aws_conn_id: str = 'aws_default',
+        cluster_identifier: str,
+        database: str,
+        sql: str,

Review comment:
       Multiple SQL statements is a separate boto3 call, which could be added 
in a future release.

##########
File path: airflow/providers/amazon/aws/operators/redshift_data.py
##########
@@ -0,0 +1,127 @@
+#
+# 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 time import sleep
+from typing import Optional
+
+from airflow.exceptions import AirflowException
+from airflow.models import BaseOperator
+from airflow.providers.amazon.aws.hooks.redshift_data import RedshiftDataHook
+
+
+class RedshiftDataOperator(BaseOperator):
+    """
+    Executes SQL Statements against an Amazon Redshift cluster using Redshift 
Data
+
+    .. seealso::
+        For more information on how to use this operator, take a look at the 
guide:
+        :ref:`howto/operator:RedshiftDataOperator`
+
+    :param sql: the sql code to be executed
+    :type sql: Can receive a str representing a sql statement,
+        or an iterable of str (sql statements)
+    :param aws_conn_id: AWS connection id (default: aws_default)
+    :type aws_conn_id: str
+    :param parameters: (optional) the parameters to render the SQL query with.
+    :type parameters: dict or iterable
+    :param autocommit: if True, each command is automatically committed.
+        (default value: False)
+    :type autocommit: bool
+    """
+
+    template_fields = ('sql',)
+    template_ext = ('.sql',)
+
+    def __init__(
+        self,
+        *,
+        aws_conn_id: str = 'aws_default',
+        cluster_identifier: str,
+        database: str,
+        sql: str,

Review comment:
       Multiple SQL statements is a separate boto3 call, 
[batch_execute_statement](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/redshift-data.html#RedshiftDataAPIService.Client.batch_execute_statement),
 which could be added in a future release.




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