Google Scripts provides an easy way to automate workflows and processes using JavaScript code that integrates with Google products. For databases, Google Scripts can connect with Google Sheets but accessing external data sources requires some configuration.
This guide will walk through 5 simple steps for Google Script connect to MySQL database. By establishing this integration, you can build scripts that interact with your MySQL data tables to automate tasks like backing up data, generating reports, sending alerts based on SQL queries, and more. No need to rely solely on Google Sheets anymore – unlock the full power of JavaScript automation with your MySQL data using these tips!
Apps Script MySQL Steps
The target is to connect Google Apps Script with MySQL, create a table and insert data into the table.
Google Apps Script MySQL Steps
- Step 1: The first step in Google Script Connect to MySQL is the MySQL Server must be hosted and running properly. Host MySQL Server as shown in the below section.
- Step 2: Open Google Apps Script Code Editor Window as described below.
Hevo simplifies the process of connecting Google Apps Script to a MySQL database, allowing users to automate data workflows and streamline data management effortlessly. With Hevo’s no-code platform, you can easily set up a data pipeline to extract data from MySQL and load it into Google Sheets or other applications, enhancing your productivity.
Steps to Connect Google Apps Script to MySQL Using Hevo:
- Real-Time Analytics: Leverage Hevo’s capabilities to transform and load data in real-time, enabling dynamic reporting and analysis directly from your Google Workspace applications.
- No-Code Setup: Use Hevo’s intuitive interface to connect to your MySQL database, selecting it as a source and configuring the necessary connection details without writing any code.
- Automate Data Transfer: Schedule automated data transfers from MySQL to Google Sheets, ensuring that your data is always up-to-date and ready for analysis.
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Google Apps Script MySQL Connection Steps: Set Up JDBC Connection with MYSQL
Step3: The next step in Google Script Connect to MySQL is to add the below code to Apps Script to connect to the MySQL server using a JDBC connection.
var server = "sql6.freemysqlhosting.net";
var port = 3306;
var db = "sql6481535";
var user = "sql6481535";
var pwd = "********";
/**
* Connect to MySQL.
*/
function connectmysql() {
var url = "jdbc:mysql://" + server+":"+port+"/"+db;
console.log(url)
var conn = Jdbc.getConnection(url, user, pwd);
Logger.log(conn);
conn.close();
}
- Defines
server
, port
, db
, user
, and pwd
variables with connection details for the MySQL database.
- Builds the JDBC connection URL using the
server
, port
, and db
variables, formatted as "jdbc:mysql://<server>:<port>/<db>"
.
- This function establishes a connection to the MySQL database using the
Jdbc.getConnection()
method, passing the constructed URL, user
, and pwd
.
- Logs the connection object using
Logger.log()
to confirm a successful connection.
- Closes the database connection using
conn.close()
to free resources.
In the above code:
- Server: is the MySQL server name.
- Port: is the port of MySQL.
- Db: is the database name created.
- User: is the database user name.
- Pwd: is the password for the database user.
- Url: is the URL created to connect to MySQL server via JDBC connection
- connectmysql(): is the function to connect to the MySQL Server using JDBC connection.
Google Script Connect to MySQL Steps: Run Code
Step 4: The next step in Google Script Connect to MySQL is to select the ‘connectmysql()’ function and run the code by clicking the Run button on the Apps Script window.
In a few seconds, it will ask for permission to access data for once. Click on Review Permissions.
Choose your Google account to continue. Google hasn’t verified this app message will appear. Click on Advanced and then click on ‘Go to MySQL Connect(unsafe)’. Click on Allow to give Apps Script the required permission. This will make your script run.
See the execution log for errors or success messages. From the below image you can see the execution is completed successfully. JDBC connection to MySQL server is made successfully.
Google Script Connect to MySQL Steps: Run Script to Create a Table and Add Data
Step 5: Now for the next step in Google Script Connect to MySQL add code in the connectmysql()
function to create a table and insert one row of data.
var server = "sql6.freemysqlhosting.net";
var port = 3306;
var db = "sql6481535";
var user = "sql6481535";
var pwd = "**********";
/**
* Connect to MySQL and write one row of data to a table.
*/
function connectmysql() {
var url = "jdbc:mysql://" + server+":"+port+"/"+db;
console.log(url)
var conn = Jdbc.getConnection(url, user, pwd);
Logger.log(conn);
stmt = conn.createStatement();
stmt.execute('CREATE TABLE emp (id INT(6), name VARCHAR(20), email VARCHAR(40));');
console.log("Table Created successfully")
stmt.execute("INSERT INTO emp (id, name, email) values (1, 'Anthony', 'anthony1456@gmail.com');");
console.log("Data inserted successfully")
conn.close();
}
- The code defines
server
, port
, db
, user
, and pwd
variables for connecting to the MySQL database.
- Constructs the JDBC connection URL using
server
, port
, and db
to format as "jdbc:mysql://<server>:<port>/<db>"
.
- Establishes a connection to the MySQL database using
Jdbc.getConnection()
with the specified URL, user
, and pwd
.
- Creates a SQL statement object using
conn.createStatement()
.Executes a SQL command to create a table named emp
with columns: id
(integer), name
(string), and email
(string). Logs a success message after creating the table.
- Inserts a row into the
emp
table with values 1
for id
, 'Anthony'
for name
, and 'anthony1456@gmail.com'
for email
.Logs a success message after data insertion.
- Closes the database connection with
conn.close()
to release resources.
See the execution log for errors or success messages. You will see the table was created successfully and data inserted successfully.
Google Script Connect to MySQL Steps: Check MySQL Database for Results
Next to Google Script Connect to MySQL, click ‘Follow this link for phpMyAdmin’ on the freemysqlhosting.net window. Login using MySQL server, and username details are shared on email ID.
Table ‘emp’ with one row of data created in MySQL Server.
Table was created successfully and one row of data was inserted successfully in MySQL via Google Apps Script.
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Google Apps Script Code Editor
- Step 1: Open Google Apps Script from this link.
- Step 2: Click on ‘New Project’ to open the code editor window.
- Step 3: Name your untitled project accordingly. For this demonstration, the project is named ‘MySQL Connect’.
MySQL Server Set-up
- Step 1: Click on the link to open Free MySQL Hosting site. Then, click on ‘Start my Free Account’ and enter login details to register to the site. You will see the below screen after a successful registration.
- Step 2: Click on the Start new database button to create a new database, as shown below.
- Step 3: Check the register email-id for MySQL server details.
- Step 4: MySQL Server hosted successfully.
Limitations of Google Script Connect to MySQL using the manual method
- Knowledge of Coding: Using Google App Script and MySQL requires expertise with knowledge of coding, which can create barriers for people who do not know how to code.
- Time-Consuming: Using the manual method requires a lot of time for writing, debugging, and customizing code.
Use cases for Google Script Connect to MySQL
- Custom Applications: It can be used to design custom applications for specific workflow needs.
- Automation: You can create automated workflows wherein real-time notifications can be sent on the updation of databases
- Connect to External Services: The Google Apps script can bridge your MySQL databases and external services like APIs or other analytics platforms. This helps in expanding the functionality of MySQL.
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Additional Resources on Google Script Connect To MYSQL
Conclusion
- Google Cloud Platform offers versatile services that are compatible with the Google database, Google BigQuery, and provides excellent compatibility with external databases.
- The functionality of Apps Script and super rapport with different databases make it a widely used scripting platform nowadays.
- Follow the step-by-step instructions to Google Script Connect to MySQL and insert data in MySQL via Apps Script easily.
- However, as a Developer, extracting complex data from a diverse set of data sources like Databases, CRMs, Project management Tools, Streaming Services, and Marketing Platforms to your MySQL Database can seem to be quite challenging.
FAQ on Google Script to MySQL
How to connect MySQL to Google Apps script?
To connect MySQL to Google Apps Script:
Use JDBC service in Google Apps Script to establish a connection to MySQL database using connection parameters (URL, username, password).
Execute SQL queries and retrieve data from MySQL, then process or manipulate the data within Google Apps Script for further automation or integration with Google Workspace applications.
What coding language does Google Apps Script use?
Google Apps Script primarily uses JavaScript as its coding language. It is based on JavaScript 1.6 with some additional Google-specific extensions and APIs.
How much does Google Apps Script cost?
Google Apps Script is free to use for all Google account users. There are no additional costs or fees associated with using Google Apps Script.
If you are from non-technical background or are new in the game of data warehouse and analytics, Hevo Data can help!
Nidhi is passionate about conducting in-depth research on data integration and analysis. With a background in engineering, she provides valuable insights through her comprehensive content, helping individuals navigate complex data topics. Nidhi's expertise lies in data analytics, research methodologies, and technical writing, making her a trusted source for data professionals seeking to enhance their understanding of the field.
Rohit Guntuku is a technical expert with deep proficiency in Python, SQL, and various database technologies. His extensive database performance and connectivity knowledge enable him to effectively tackle data integration and optimization challenges. Rohit's technical insights provide practical solutions that enhance data management and operational efficiency, making him a key contributor to advancing data-driven projects.