[GitHub] [airflow] josh-fell commented on a diff in pull request #23881: Generic S3 to SQL

[GitBox <gi...@apache.org>]

josh-fell commented on code in PR #23881:
URL: https://github.com/apache/airflow/pull/23881#discussion_r917129087


##########
tests/providers/amazon/aws/transfers/test_s3_to_sql.py:
##########
@@ -0,0 +1,89 @@
+# 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.
+
+import unittest
+from unittest.mock import patch
+
+from sqlalchemy import or_
+
+from airflow import configuration, models
+from airflow.providers.amazon.aws.transfers.s3_to_sql import S3ToSqlOperator
+from airflow.utils import db
+from airflow.utils.session import create_session
+
+
+class TestS3ToSqlTransfer(unittest.TestCase):

Review Comment:
   For net-new tests, it's preferred to use `pytest` rather than `unittest`.



##########
airflow/providers/amazon/aws/transfers/s3_to_sql.py:
##########
@@ -0,0 +1,111 @@
+# 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.
+
+import os
+from typing import TYPE_CHECKING, List, Optional, Sequence, Union
+
+import pandas
+
+from airflow.exceptions import AirflowException
+from airflow.hooks.base import BaseHook
+from airflow.models import BaseOperator
+from airflow.providers.amazon.aws.hooks.s3 import S3Hook
+from airflow.providers.amazon.aws.utils.s3 import fix_int_dtypes
+
+if TYPE_CHECKING:
+    from airflow.utils.context import Context
+
+
+class S3ToSqlOperator(BaseOperator):
+    """
+    Loads a file from S3 into a SQL table.
+
+    .. seealso::
+        For more information on how to use this operator, take a look at the guide:
+        :ref:`howto/operator:S3ToSqlOperator`
+
+    :param s3_key: path to s3 file. (templated)
+    :param destination_table: target table on sql. (templated)
+    :param file_format: input file format. CSV, JSON or Parquet. (templated)
+    :param file_options: file reader options.
+    :param source_conn_id: source connection.
+    :param destination_conn_id: destination connection.
+    :param preoperator: sql statement or list of statements to be
+        executed prior to loading the data. (templated)
+    :param insert_args: extra params for `insert_rows` method.
+    """
+
+    template_fields: Sequence[str] = ('s3_key', 'destination_table', 'file_format', 'preoperator')
+    template_ext: Sequence[str] = (
+        '.sql',
+        '.hql',
+    )
+    template_fields_renderers = {"preoperator": "sql"}
+    ui_color = '#b0f07c'
+
+    def __init__(
+        self,
+        *,
+        s3_key: str,
+        destination_table: str,
+        file_format: str,
+        file_options: Optional[dict] = None,
+        source_conn_id: str = 'aws_default',
+        destination_conn_id: str = 'sql_default',
+        preoperator: Optional[Union[str, List[str]]] = None,
+        insert_args: Optional[dict] = None,
+        **kwargs,
+    ) -> None:
+        super().__init__(**kwargs)
+        self.s3_key = s3_key
+        self.destination_table = destination_table
+        self.file_format = file_format
+        self.file_options = file_options or {}
+        self.source_conn_id = source_conn_id
+        self.destination_conn_id = destination_conn_id
+        self.preoperator = preoperator
+        self.insert_args = insert_args or {}
+
+    def execute(self, context: "Context"):
+        source_hook = S3Hook(aws_conn_id=self.source_conn_id)
+        destination_hook = BaseHook.get_hook(self.destination_conn_id)
+
+        self.log.info("Extracting data from %s", self.source_conn_id)
+        self.log.info("Download file from: \n %s", self.s3_key)
+        file = source_hook.download_file(key=self.s3_key)
+        if self.file_format == 'csv':
+            df = pandas.read_csv(file, **self.file_options)
+        elif self.file_format == 'parquet':
+            df = pandas.read_parquet(file, **self.file_options)
+        else:

Review Comment:
   Should there be another check for JSON file format or should JSON be removed from the docstring as an acceptable file format?



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