Dom | Five.Co

Posted on Sep 26 • Originally published at five.co

Google Sheets to MySQL In 3 Steps

#googlesheets #mysql #database

Google Sheets Data into MySQL: A Beginner's Guide

Are you looking to convert your Google Sheets data into a MySQL database? If so, you're in the right place! In this beginner-friendly tutorial, we'll walk you through the process of importing your Google Sheets data into a MySQL database.

Don't worry if you don't have a background in coding - this guide is designed to be accessible to everyone, regardless of technical expertise.

To make things even easier, we'll be using Five's free trial to build our prototype application. Before we dive in, make sure you've signed up and installed Five, which you can do for free.

Ready to get started? Let’s find out how to import Google Sheets data to MySQL.

To follow this tutorial, you'll need to sign up for free access to Five.

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Step by Step: Import Google Sheets to MySQL

Here’s a quick overview of what we'll be doing:

Step 1: Prepare Your Google Sheets Data

The first step is to ensure your Google Sheets data is properly formatted and ready for import. Here are a few tips:

Make sure each column has a clear header that describes the data it contains.
Remove any empty rows or columns.
Ensure data is consistently formatted (e.g., dates are in the same format).
Export your Google Sheets data as a CSV file.

Step 2: Create a MySQL Database

Next, you'll need to create a new MySQL database to house your imported Google Sheets data. Using Five, you can easily create a MySQL database from within the platform.

Step 3: Import CSV Data into MySQL

With your database created, you're ready to import your Google Sheets CSV file. Five provides a simple interface for uploading your CSV and mapping the columns to your MySQL table.

Once the import process is complete, it's a good idea to verify that your data was successfully transferred. You can do this by running a few simple SQL queries to check that your tables are populated with the expected data.

And that’s it! By following these steps, you'll have successfully imported your Google Sheets data into a MySQL database, putting you well on your way to converting your Sheets-based solution into a full-fledged web application.

Detailed Instructions

Before importing your Google Sheets data into MySQL, it’s crucial to ensure that your spreadsheet is properly formatted and cleaned up. Here are some tips:

Ensure your header row only contains descriptive names for the data stored in each column.
Avoid duplicating information in multiple columns. Use separate columns for distinct data points.
Ensure that each cell contains only one piece of data. Don’t mix multiple data points in a single cell.
If you have multiple values for the same item, split them across multiple columns.

For example, let’s say your spreadsheet contains information on Products, Prices, and Quantities. Here’s what your Google Sheets should look like:

Product	Price	Quantity
Product 1	4.99	100
Product 2	5.99	4
Product 3	100.99	58

To clean up your data, consider using these helpful Google Sheets functions:

TRIM: Removes leading, trailing, and extra spaces between words.
CLEAN: Removes all nonprintable characters from text.
PROPER: Converts the first character to uppercase and all other characters to lowercase.

Once you’ve cleaned up your data, export your Google Sheets file as a CSV file.

Create a New Application in Five

Navigate to Applications: Once logged in, click on "Applications" near the top left corner of the screen, just below the hamburger menu icon.
Create New Application: Click on the yellow plus icon. A new window titled “New Applications Record” will appear.
Title Your Application: Give your application a title, such as “Sheets to Web App,” and save it by clicking the tick mark in the top right corner. Your screen should now display your new application.

Create Your Database and Import Data

Access Database Management: Click the blue "Manage" button on the top right of the screen near the Five logo.

Open Table Wizard: Navigate to "Data" and then select "Table Wizard."

Creating Your Database Table

Name Your Table: Name your table "Inventory."
Add Database Fields: Click the plus icon four times to create four database fields:

Field 1: Name it "Product," select "text" as its data type, and set its size to 100.
Field 2: Name it "Price," select "float" as its data type, and set its display type to "float.2."
Field 3: Name it "Quantity," with "integer" for both data and display type.
Field 4: Name it "Total," which will be used for calculations in later steps.

Save the Table: Ensure your table setup matches the specifications and click the tick mark to save.

Importing Data from Google Sheets to MySQL

Prepare Your CSV File: Ensure your Google Sheets data is saved as a CSV file. If you’d like to use the data provided above, download our CSV file here.
Import Data: Go to "Data" > "Tables," then click on the "Import CSV into Table" icon.

Select Table for Import: Choose the "Inventory" table from the dropdown menu.
Upload CSV File: Click "Choose File" and select your CSV file, then upload it.
Map Fields: Five will automatically map the fields if they match the column names in your CSV file.
Set InventoryKey: Select "Generated" for InventoryKey to auto-generate unique keys.
Exclude Total: For the "Total" field, select "Not Imported."
Finalize Import: Click the tick mark to complete the data upload.

Congratulations! You’ve successfully created a MySQL database table and imported data from Google Sheets.

Adding a Form and Previewing Your Application

After setting up your MySQL database and importing data, the next step is to add a form and preview your web application. This step will show you how to import Google Sheets data to MySQL and create an interactive interface for your users.

Adding a Form

Access Form Wizard: Five makes it simple to create a form for end-users. Start by clicking on "Visual" and then selecting "Form Wizard."

Select Main Table: In the Form Wizard, choose "Inventory" as your Main Table.
Save the Form: Click the Tick mark to save your form setup.

Previewing Your Application

Run Your Application: Click the "Run" button at the top right corner. If the Run button is not visible, you need to deploy to development (it might take a couple of minutes for your web app to go live).

Here’s what your application looks like:

Your Application Interface

Five provides a fully auto-generated front-end for your MySQL database, including the form you created. The interface features:

Menu: A menu on the left side for navigation.
Search Bar: A search bar at the top to quickly find records.
Filter Options: A filter next to the search bar to refine your data view.
CRUD Operations: The ability to add, edit, or delete records through the graphical user interface.

By following these steps, you have successfully imported Google Sheets data to MySQL and created an interactive web application interface. Continue with the next steps of this tutorial to further develop your application.

Import Google Sheets to MySQL: Next Steps

Congratulations! You have successfully connected Google Sheets to MySQL, imported data, and created a web interface using Five. Now, let’s explore the next steps to enhance your web app.

This blog post is part 1 of a 5-part series on converting Google Sheets to MySQL. To view the other parts, follow the links here:

There’s a lot more you can develop in Five. For inspiration, check out this screenshot of a finished web interface based on Google Sheets data transferred to a MySQL database. Visit the Five Use Cases page or continue following our tutorial series to discover additional features and capabilities.

By now, you should have a solid understanding of how to import data from Google Sheets to MySQL.

In case you get stuck during the development process, we’re here to help! Continue developing your application by accessing these resources:

Five’s User Community: Visit Five’s Community to ask questions or get inspiration from other users.
Five’s Documentation: Visit help.five.org to access Five’s comprehensive documentation.

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