Using Google Sheets as a SQL Database with Anyquery

Anyquery is a powerful SQL query engine that allows you to query data from various sources, including Google Sheets. In this tutorial, we will cover how to use a Google Sheets spreadsheet as a SQL database.

Prerequisites

Before starting, ensure you have the following:

• A working installation of Anyquery
• A Google account
• A Google Sheets spreadsheet

Step 1: Install the Google Sheets Plugin

First, install the Google Sheets plugin for Anyquery. Run the following command:

anyquery install google_sheets

Step 2: Set Up Google Cloud Console

You need to authenticate with Google to access your Google Sheets. Follow these steps:

1. Go to the Google Cloud Console.
2. Create a new project.
3. Navigate to the APIs & Services Dashboard.
4. Click on Credentials.

Create OAuth Client ID

1. Click on Create Credentials, and select OAuth client ID.
2. Configure the consent screen if prompted:
   • Application type: External
   • Application name: AnyQuery
   • Fill out the required fields and click Save and Continue.
   • Add the authorized redirect URI: https://integration.anyquery.dev/google-result
   • Add authorized JavaScript origins: https://integration.anyquery.dev
   • Click Create.
3. Copy the Client ID and Client Secret.

Enable Google Sheets API

1. Go to the Google Sheets API page.
2. Click Enable.

Step 3: Authenticate with Google

1. Go to Google Sheets integration.
2. Fill in the Client ID and Client Secret, then click Submit.
3. Select your Google account and authorize the application.
4. Copy the token, client ID, and client secret provided.

Step 4: Configure Anyquery

When prompted by Anyquery, provide the token, client ID, client secret, and the spreadsheet ID:

1. Token: Paste the token you copied.
2. Client ID and Client Secret: Paste these values.
3. Spreadsheet ID: Find the spreadsheet ID in the URL of your Google Sheets document. For example, in https://docs.google.com/spreadsheets/d/1D_x7DNwbI9ZOSFjII6BvttPzdLJAymrQwQcOvnHzW9c/edit, the spreadsheet ID is 1D_x7DNwbI9ZOSFjII6BvttPzdLJAymrQwQcOvnHzW9c.

Step 5: Querying Google Sheets

You can now use SQL to query your Google Sheets. Here are some examples:

List All Rows

SELECT * FROM google_sheets_spreadsheet;

Filter Rows by Column Value

SELECT * FROM google_sheets_spreadsheet WHERE column_name = 'value';

Insert a New Row

INSERT INTO google_sheets_spreadsheet (column_name1, column_name2) VALUES ('value1', 'value2');

Update Rows

UPDATE google_sheets_spreadsheet SET column_name1 = 'new_value' WHERE column_name = 'value';

Delete Rows

DELETE FROM google_sheets_spreadsheet WHERE column_name = 'value';

Limitations

• Header Row: The first row of the spreadsheet must be the header row.
• Buffering: Insertions and updates are buffered to avoid excessive API calls.
• Rate Limits: Google Sheets API has rate limits. You can insert or modify up to 6000 rows per minute and delete up to 60000 rows per minute.

Conclusion

You have successfully set up Anyquery to use Google Sheets as a SQL database. Now you can perform various SQL operations on your Google Sheets data efficiently. Happy querying!

For more detailed information, you can refer to the Google Sheets plugin documentation.