How to integrate MySQL using Python

Learn how to quickly and efficiently connect MySQL with Python for smooth data access.

Read and write MySQL data effortlessly. Query, sync, and manage databases and tables — almost no coding required. You can do it all using the high-performance MySQL ODBC Driver for Python (often referred to as the MySQL Connector). We'll walk you through the entire setup.

Ready to dive in? Download the product to jump right in, or follow the step-by-step guide below to see how it works.

Prerequisites

Before we begin, make sure you meet the following prerequisite: Java Runtime Environment (JRE) or Java Development Kit (JDK) must be installed on your system.

• Minimum required version: Java 8
  • Amazon Corretto 8
  • Oracle JRE 8
• Recommended Java version: Java 21
  • Amazon Corretto 21
  • Oracle JRE 21

If your JDBC Driver targets a different Java version (e.g., 11 / 17 / 21), install the corresponding or newer Java version.

Download MySQL JDBC driver

To connect to MySQL in , you will have to download JDBC driver for it, which we will use in later steps. Let's perform these little steps right away:

1. Visit MySQL website or MVN Repository.
2. Download the JDBC driver, and save it locally, e.g. to D:\Drivers\JDBC\mysql-connector-j.jar.
3. Done! That was easy, wasn't it? Let's proceed to the next step.

Create data source using MySQL ODBC Driver

Step-by-step instructions

To get data from MySQL using Python, we first need to create an ODBC data source. We will later read this data in Python. Perform these steps:

1. Download and install ODBC PowerPack (if you haven't already).

2. Search for odbc and open the ODBC Data Sources (64-bit):

   

3. Create a User data source (User DSN) based on the ZappySys JDBC Bridge Driver driver:

   ZappySys JDBC Bridge Driver

   
   • Create and use a User DSN if the client application runs under a User Account. This is the ideal option at design time (e.g., when developing in Visual Studio). Use it for both types of applications (64-bit and 32-bit).
   • Create and use a System DSN if the client application runs under a System Account (e.g., as a Windows Service). This is usually the required option in a production environment. If your Windows Service is a 32-bit application, you must use the 32-bit ODBC Data Source Administrator to configure this

4. Now, we need to configure the JDBC connection in the new ODBC data source. Simply enter the Connection string, credentials, configure other settings, and then click Test Connection button to test the connection:

   MysqlDSN

   jdbc:mysql://mysql-instance-host-name:3306/MyDatabase

   D:\Drivers\JDBC\mysql-connector-j.jar

   root

   ****************

   []

   

   Use these values when setting parameters:

   • Connection string: jdbc:mysql://mysql-instance-host-name:3306/MyDatabase
   • JDBC driver file(s): D:\Drivers\JDBC\mysql-connector-j.jar
   • User name: root
   • User password: ****************
   • Connection parameters: []

5. You should see a message saying that connection test is successful:

   

   Otherwise, if you are getting an error, check out our Community for troubleshooting tips.

6. We are at the point where we can preview a SQL query. For more SQL query examples visit JDBC Bridge documentation:

   MysqlDSN

   SELECT * FROM `orders`

   

   SELECT * FROM `orders`

   You can also click on the <Select Table> dropdown and select a table from the list.

   The ZappySys JDBC Bridge Driver acts as a transparent intermediary, passing SQL queries directly to the JDBC driver, which then handles the query execution. This means the Bridge Driver simply relays the SQL query without altering it.

   Some JDBC drivers don't support INSERT/UPDATE/DELETE statements, so you may get an error saying "action is not supported" or a similar one. Please, be aware, this is not the limitation of ZappySys JDBC Bridge Driver, but is a limitation of the specific JDBC driver you are using.

7. Click OK to finish creating the data source.

Video Tutorial

Read data in Python

Using ODBC DSN

1. Use this code snippet to read the data using MysqlDSN data source:

   MysqlDSN')

   

2. When you run the code it will make the API call and read the data:

   

3. Here is Python program's code in text format:

   
       import pyodbc
       conn = pyodbc.connect('DSN=MysqlDSN')
   
       cursor = conn.cursor()
   
       #execute query to fetch data from API service
       cursor.execute("SELECT id,title FROM products")
   
       row = cursor.fetchone()
       while row:
           print(row)
           row = cursor.fetchone()
   
       ##For loop example
       #for row in cursor:
       #    print(row)
   

Using a full ODBC connection string

If you want to avoid being dependent on a DSN and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys JDBC Bridge Driver - Configuration [Version: 2.0.1.10418]

   ZappySys JDBC Bridge Driver - MySQL

   Read and write MySQL data effortlessly. Query, sync, and manage databases and tables — almost no coding required.

   MysqlDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:

3. Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys JDBC Bridge Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

How to install `pyodbc` in the Python?

Optional: Centralized data access via ZappySys Data Gateway

In some situations, you may need to provide MySQL data access to multiple users or services. Configuring the data source on a Data Gateway creates a single, centralized connection point for this purpose.

This configuration provides two primary advantages:

• Centralized data access
  The data source is configured once on the gateway, eliminating the need to set it up individually on each user's machine or application. This significantly simplifies the management process.
• Centralized access control
  Since all connections route through the gateway, access can be governed or revoked from a single location for all users.

To achieve this, you must first create a data source in the Data Gateway (server-side) and then create an ODBC data source in Python (client-side) to connect to it.

Let's not wait and get going!

Create MySQL data source in the gateway

In this section we will create a data source for MySQL in the Data Gateway. Let's follow these steps to accomplish that:

1. Search for gateway in the Windows Start Menu and open ZappySys Data Gateway Configuration:

   

2. Go to the Users tab and follow these steps to add a Data Gateway user:

   • Click the Add button
   • In the Login field enter a username, e.g., john
   • Then enter a Password
   • Check the Is Administrator checkbox
   • Click OK to save
   

3. Now we are ready to add a data source:

   • Click the Add button
   • Give the Data source a name (have it handy for later)
   • Then select Native - ZappySys JDBC Bridge Driver
   • Finally, click OK
   MysqlDSN

   ZappySys JDBC Bridge Driver

   

4. When the ZappySys JDBC Bridge Driver configuration window opens, go back to ODBC Data Source Administrator where you already have the MySQL ODBC data source created and configured, and follow these steps on how to Import data source configuration into the Gateway:

   • Open ODBC data source configuration and click Copy settings:
     

     ZappySys JDBC Bridge Driver - Configuration [Version: 2.0.1.10418]

     ZappySys JDBC Bridge Driver - MySQL

     Read and write MySQL data effortlessly. Query, sync, and manage databases and tables — almost no coding required.

     MysqlDSN

     
   • The window opens, telling us the connection string was successfully copied to the clipboard:

   • Then go to Data Gateway configuration and in data source configuration window click Load settings:

     MysqlDSN

     

     ZappySys JDBC Bridge Driver - Configuration [Version: 2.0.1.10418]

     ZappySys JDBC Bridge Driver - MySQL

     Read and write MySQL data effortlessly. Query, sync, and manage databases and tables — almost no coding required.

     MysqlDSN

     
   • Once a window opens, just paste the settings by pressing CTRL+V or by clicking right mouse button and then Paste option.

5. Once done, go to the Network Settings tab and Add a firewall rule for inbound traffic:

   
   • This will initially allow all inbound traffic.
   • Click Edit IP filters to restrict access to specific IP addresses or ranges.

6. Crucial Step: After creating or modifying the data source, you must:

   • Click the Save button to persist your changes.
   • Hit Yes when prompted to restart the Data Gateway service.

   This ensures all changes are properly applied:

   
   Skipping this step may cause the new settings to fail, preventing you from connecting to the data source.

Create ODBC data source to connect to the gateway

In this part we will create an ODBC data source to connect to the ZappySys Data Gateway from Python. To achieve that, let's perform these steps:

1. Search for odbc and open the ODBC Data Sources (64-bit):

   

2. Create a User data source (User DSN) based on the ODBC Driver 17 for SQL Server driver:

   ODBC Driver 17 for SQL Server

   
   If you don't see the ODBC Driver 17 for SQL Server driver in the list, choose a similar version.

3. Then set a Name for the data source (e.g. Gateway) and the address of the Data Gateway:

   ZappySysGatewayDSN

   localhost,5000

   
   Make sure you separate the hostname and port with a comma, e.g. localhost,5000.

4. Proceed with the authentication part:

   • Select SQL Server authentication
   • In the Login ID field enter the user name you created in the Data Gateway, e.g., john
   • Set Password to the one you configured in the Data Gateway
   

5. Then set the default database property to MysqlDSN (the one we used in the Data Gateway):

   MysqlDSN

   MysqlDSN

   
   Make sure to type the data source name manually or copy/paste it directly into the field. Using the dropdown might fail because the Trust server certificate option is not enabled yet (next step).

6. Continue by checking the Trust server certificate option:

   

7. Once you do that, test the connection:

   

8. If the connection is successful, everything is good:

   

9. Done!

We are ready to move to the final step. Let's do it!

Access data in Python via the gateway

Finally, we are ready to read data from MySQL in Python via the Data Gateway. Follow these final steps:

1. Go back to Python.

2. Use this code snippet to read the data using ZappySysGatewayDSN data source:

   ZappySysGatewayDSN')

   

3. Read the data the same way we discussed at the beginning of this article.

4. That's it!

Now you can connect to MySQL data in Python via the Data Gateway.

Troubleshooters & resources (JDBC Bridge Driver)

Below are some useful community articles to help you troubleshoot and configure the ZappySys JDBC Bridge Driver:

• How to combine multiple JAR files
  Learn how to merge multiple .jar dependencies when your JDBC driver requires more than one file.
• How to fix JBR error: “Data lake is not available / Unable to verify trust for server certificate chain”
  Resolve SSL or certificate validation issues encountered during JDBC connections.
• System Exception: “Java is not installed or not accessible”
  Fix Java path or environment issues that prevent the JDBC Bridge from launching Java.
• JDBC Bridge Driver disconnect from Java host error
  Troubleshoot unexpected disconnection problems between SSIS and the Java process.
• Error: Could not open jvm.cfg while using JDBC Bridge Driver
  Resolve JVM configuration path errors during driver initialization.
• How to enable JDBC Bridge Driver logging
  Enable detailed driver logging for better visibility during troubleshooting.
• How to pass JDBC connection parameters (not by URL)
  Learn how to specify connection properties programmatically instead of embedding them in the JDBC URL.
• How to fix JDBC Bridge error: “No connection could be made because the target machine actively refused it”
  Troubleshoot firewall or local port binding issues preventing communication with the Java host.
• How to use JDBC Bridge options (System Property for Java command line, e.g., classpath, proxy)
  Configure custom Java options like classpath and proxy using JDBC Bridge system properties.

Conclusion

In this article we showed you how to connect to MySQL in Python and integrate data without writing complex code — all of this was powered by MySQL ODBC Driver. It's worth noting that ZappySys JDBC Bridge Driver allows you to connect not only to MySQL, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

Download ODBC PowerPack now or ping us via chat if you have any questions or are looking for a specific feature (you can also reach out to us by submitting a ticket):

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