sql_to_sheets


Providers:

Modules:

Last Updated: Nov. 17, 2021

Run this DAG

1. Install the Astronomer CLI:Skip if you already have the CLI

2. Initate the project in a local directory:

3. Copy and paste the code below into a file in the

dags
directory.

4. Add the following to your

requirements.txt
file:

5. Run the DAG from the local directory where the project was initiated:

#
# 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
from airflow import models
from airflow.providers.google.suite.transfers.sql_to_sheets import SQLToGoogleSheetsOperator
SQL = "select 1 as my_col"
NEW_SPREADSHEET_ID = "123"
with models.DAG(
"example_sql_to_sheets",
start_date=datetime(2021, 1, 1),
schedule_interval=None, # Override to match your needs
catchup=False,
tags=["example"],
) as dag:
# [START upload_sql_to_sheets]
upload_gcs_to_sheet = SQLToGoogleSheetsOperator(
task_id="upload_sql_to_sheet",
sql=SQL,
sql_conn_id="database_conn_id",
spreadsheet_id=NEW_SPREADSHEET_ID,
)
# [END upload_sql_to_sheets]