Introduction

You can connect to your MySQL data in Azure Data Factory (SSIS) using the high-performance MySQL ODBC Driver (powered by ZappySys JDBC-ODBC Bridge Driver). We'll walk you through the entire setup.

Let's not waste time and get started!

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.

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

If you already have a JRE installed, you can try using it too. However, if you experience any issues, we recommend using one of the distributions mentioned above (you can install an additional JRE next to the existing one; just don't forget to configure the default Java in the Windows Environment Variables).

Download MySQL JDBC driver

To connect to MySQL, 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. Select the appropriate JDBC driver version in Latest Versions section in MVN Repository:

    Select JDBC driver version in MVN Repository
  3. Download the JDBC driver, and save it locally, e.g. to D:\Drivers\JDBC\mysql-connector-j.jar.

    Download JDBC driver JAR file in MVN Repository
  4. Done! That was easy, wasn't it? Let's proceed to the next step.

Create SSIS package

First of all, create an SSIS package, which will connect to MySQL in SSIS. Once you do that, you are one step closer to deploying and running it in Azure-SSIS integration runtime in Azure Data Factory (ADF). Then simply proceed to the next step - creating and configuring Azure Blob Storage Container.

Prepare custom setup files for Azure-SSIS runtime

Now it's time to start preparing custom setup files for Azure-SSIS runtime. During Azure-SSIS runtime creation you can instruct ADF to perform a custom setup on a VM (Azure-SSIS node); i.e. to run the custom installer, copy files, execute PowerShell scripts, etc. In that case, your custom setup files are downloaded and run in the Azure-SSIS node (a VM) when you start the runtime. In this section we will prepare custom setup files so that you can run SSIS packages with SSIS PowerPack connectors inside in Azure-SSIS runtime.

Read more on Azure-SSIS runtime custom setup in Microsoft Azure Data Factory reference.

Trial Users

Use the step below if you are a Trial User, when you did not purchase a license key. Proceed with these steps:

  1. Download SSIS PowerPack trial installer.
    Make sure you don't rename the installer and keep it named as SSISPowerPackSetup_64bit_Trial.msi.
  2. Create a text file and name it main.cmd (make it all lowercase, very important).
  3. Copy and paste this script into it and save it:
    set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%
    
    echo Calling Step 1 : %TIME% >> "%DIR%\steps_log.txt"
    dir /s /b > "%DIR%\file_list.txt"
    
    echo Calling Step 2 : %TIME% >> "%DIR%\steps_log.txt"
    
    ::Install SSIS PowerPack
    msiexec /i  "SSISPowerPackSetup_64bit_Trial.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_trial_install_log.txt"
    
    echo Calling Step 3 : %TIME% >> "%DIR%\steps_log.txt"
    dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
    dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
    
    echo DONE : %TIME% >> "%DIR%\steps_log.txt"
    
    echo complete
    This is the entry-point script that is executed when Azure-SSIS runtime is started.
  4. At last! You are ready to upload these two files — main.cmd & SSISPowerPackSetup_64bit_Trial.msi — into your Azure Blob Storage container's folder, which we will do in the Upload custom setup files to Azure Blob Storage container step.

Paid Customers

Use the steps below if you are a Paid Customer, when you purchased a license. Proceed with these steps:

  1. Download SSIS PowerPack paid installer.
    Make sure you don't rename the installer and keep it named as SSISPowerPackSetup_64bit.msi.
  2. Have your SSIS PowerPack license key handy, we will need it in the below script.
  3. Create a text file and name it main.cmd (make it all lowercase, very important).
  4. Copy and paste the below script into it.
  5. Paste your license key by replacing parameter's --register argument with your real license key.
  6. Finally, save main.cmd:
    set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%
    
    echo Calling Step 1 : %TIME% >> "%DIR%\steps_log.txt"
    dir /s /b > "%DIR%\file_list.txt"
    
    echo Calling Step 2 : %TIME% >> "%DIR%\steps_log.txt"
    
    ::Install SSIS PowerPack
    msiexec /i  "SSISPowerPackSetup_64bit.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_install_log.txt"
    
    echo Calling Step 3 : %TIME% >> "%DIR%\steps_log.txt"
    
    ::Activate PowerPack license (Optional)
    "C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -p SSISPowerPack --register "YOUR_LICENSE_KEY_GOES_HERE" --logfile "%DIR%\powerpack_register_log.txt"
    
    ::Show System Info
    echo Calling Step 4 : %TIME% >> "%DIR%\steps_log.txt"
    "C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -i -l "%DIR%\sysinfo_log.txt"
    
    echo Calling Step 5 : %TIME% >> "%DIR%\steps_log.txt"
    dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
    dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
    
    echo DONE : %TIME% >> "%DIR%\steps_log.txt"
    
    echo complete
    This is the entry-point script that is executed when Azure-SSIS runtime is started.
  7. At last! You are ready to upload these two files — main.cmd & SSISPowerPackSetup_64bit.msi — into your Azure Blob Storage container's folder, which we will do in the Upload custom setup files to Azure Blob Storage container step.

Upload custom setup files to Azure Blob Storage container

Within Azure Blob Storage container we will store custom setup files we prepared in the previous step so that Azure-SSIS can use them in custom setup process. Just perform these very simple, but very important steps:

  1. Create Azure Blob Storage container, if you haven't done it already
    Make sure you create and use Azure Blob Storage container instead of Azure Data Lake Storage folder. Azure Data Lake Storage won't allow creating an SAS URI for the container, which is a crucial step in the process.
  2. Find Blob Containers node, right-click on it and hit Create Blob Container option: Create a new blob container in Azure Storage Explorer
  3. Upload the two custom setup files — main.cmd & the MSI installer — into your Azure Blob Storage container's folder: Upload SSIS Custom Setup Files to Azure Data Factory
  4. It was easy, wasn't it? It's time we create an SAS URI in the next step.

Create SAS URI for Azure Blob Container

Once you have custom setup files prepared, it's time we generate an SAS URI. This SAS URI will be used by a new Azure-SSIS runtime to install SSIS PowerPack inside the runtime's node, a VM. Let's proceed together by performing the steps below:

  1. Install and launch Azure Storage Explorer.
  2. Right-click on the Storage Accounts node and then hit Connect to Azure storage... menu item: Add Azure Storage account to Azure Storage Explorer
  3. Proceed by right-clicking on that container node and select Get Shared Access Signature... option.
  4. Next, set the Expiry time field to a date far in the future.
    If you restart Azure-SSIS runtime and your SAS URI is expired by that time, it will not start.
  5. Select Read, Create, Write, and List permissions: Generate SAS URI in Azure Storage Explorer for Azure Data Factory Custom Setup
    We also recommend to add Delete permission too to support future functionality.
  6. Copy SAS URL to the clipboard and save it for the next step: Get container SAS URI for Azure Data Factory SSIS Custom Setup You can also generate and copy SAS URL from within Azure Portal itself: Generate SAS URI in Azure Data Factory Custom Setup via online portal

Create Azure-SSIS integration runtime

Once you have the SAS URL we obtained in the previous step, we are ready to move on to create an Azure-SSIS runtime in Azure Data Factory:

  1. Firstly, perform the steps described in Create an Azure-SSIS integration runtime article in Azure Data Factory reference.
  2. In Advanced settings page section, configure Custom setup container SAS URI you obtained in the previous step: Configure SAS URI in Azure Data Factory custom setup
  3. And you are done! That was quick! You can see your Azure-SSIS runtime up and running: Verify Azure-SSIS runtime status in Azure Data Factory portal

The custom setup script is executed only once — at the time an Azure-SSIS runtime is started.

It is also executed if you stop and start Azure-SSIS runtime again.

Deploy SSIS package in Visual Studio

We are ready to deploy the SSIS package to Azure-SSIS runtime. Once you do that, proceed to the next step for the grand finale! Deploy SSIS package to Azure Data Factory from Visual Studio

Execute SSIS package in SQL Server Management Studio (SSMS)

After all hard work, we are ready to execute SSIS package in SQL Server Management Studio (SSMS):

  1. Connect to the SQL Server which is linked to your Azure-SSIS runtime and contains SSISDB database.
  2. Navigate to Integration Services Catalog » Your Folder » Your Project » Your Package, right-click on it, and hit Execute...: Execute SSIS package using SQL Server Management Studio (SSMS)
  3. To view the status of the past execution, navigate to Integration Services Catalog » Your Folder » Your Project » Your Package, right-click on it, and select Reports » Standard Reports » All Executions menu item: Monitor SSIS package execution using SSMS UI

Transferring SSIS PowerPack license to another machine

As an existing ZappySys customer, you might be using your SSIS PowerPack license in an Azure-SSIS Integration Runtime.

If you decide to move your SSIS package execution to a new machine, you will also need to transfer your license.

To accomplish this, perform the following steps:

  1. Copy & paste this script into main.cmd we used in the previous step:

    set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%
    
    ::Listing files
    echo Listing files: %TIME% >> "%DIR%\steps_log.txt"
    dir /s /b > "%DIR%\file_list.txt"
    
    ::Install SSIS PowerPack
    echo Installing SSIS PowerPack: %TIME% >> "%DIR%\steps_log.txt"
    msiexec /i  "SSISPowerPackSetup_64bit.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_install_log.txt"
    
    ::Activate license (needed for deactivation)
    echo Activating license: %TIME% >> "%DIR%\steps_log.txt"
    "C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -p SSISPowerPack --register "YOUR_LICENSE_KEY_GOES_HERE" --logfile "%DIR%\powerpack_register_log.txt"
    
    ::Deactivate license
    echo Deactivating license: %TIME% >> "%DIR%\steps_log.txt"
    "C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -p SSISPowerPack --unregister --logfile "%DIR%\powerpack_un_register_log.txt"
    
    ::Show System Info
    echo Showing system info: %TIME% >> "%DIR%\steps_log.txt"
    "C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -i -l "%DIR%\sysinfo_log.txt"
    
    ::Listing files
    echo Listing files: %TIME% >> "%DIR%\steps_log.txt"
    dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
    dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
    
    ::Done!
    echo DONE: %TIME% >> "%DIR%\steps_log.txt"
    
    Make sure to replace YOUR_LICENSE_KEY_GOES_HERE with your real license key and save the file.
  2. Start the Azure-SSIS runtime.

    This will deactivate your license on the original Azure-SSIS runtime.
  3. Check the powerpack_un_register_log.txt log file in Azure Blob Storage folder to make sure the license was deactivated successfully.

  4. Stop the Azure-SSIS runtime to deallocate resources in Azure.

  5. You can now activate the license on another machine or Azure-SSIS runtime.

Troubleshooting

Validating JDBC connection in DBeaver

If you are experiencing JDBC connection issues, start by testing your JDBC driver in a JDBC client tool like DBeaver. If the JDBC connection fails in DBeaver, it naturally will not work in your ODBC data source either.

Create generic JDBC driver

  1. Download and install DBeaver Community Edition.

  2. Open DBeaver.

  3. Click Database in the top menu and select Driver Manager:

    Open Driver Manager in DBeaver
  4. Click the New button to start adding a custom JDBC driver:

    Start adding new JDBC driver in DBeaver
  5. Configure the connection settings by entering the Driver Name and Class Name (optional for MySQL):

    Configure JDBC driver connection settings
    optional for MySQL
  6. Go to the Libraries tab, click Add File, and select your MySQL driver library file(s), e.g. D:\Drivers\JDBC\mysql-connector-j.jar:

    Add JAR library to JDBC driver
    Make sure to add all the required library dependencies.
  7. Your JDBC driver jar library is now added:

    JAR library added
    D:\Drivers\JDBC\mysql-connector-j.jar
  8. (Optional). If required by your JDBC driver, add additional properties by going to the Default properties tab, Right-clicking on the background, and selecting Add new property:

    Add new property
  9. Click on a value to modify it, then click OK to finish:

    Set property value

We are now ready to test the connection. Let's proceed!

Test connection

  1. Click the New Database Connection icon in the toolbar:

    Create new database connection in DBeaver
  2. Select your newly created JDBC driver from the list and click Next:

    Select custom JDBC driver
  3. Enter your JDBC URL (e.g. jdbc:mysql://mysql-instance-host-name:3306/MyDatabase), click Test Connection to verify it works, and then click Finish:

    Configure and test JDBC connection
    jdbc:mysql://mysql-instance-host-name:3306/MyDatabase
  4. Finally, expand the database and table list to check the connection status:

    Confirm connection success

There are two possible outcomes from the connection test:

SUCCESS
  • Reason:
    The JDBC driver works perfectly, meaning the issue lies within your ODBC data source configuration.
  • Action:
    Double-check your ODBC data source configuration and ensure it matches the settings that successfully connected in DBeaver.
FAILURE
  • Reason:
    There is likely an issue with the JDBC driver configuration or the connection details provided.
  • Action:
    Contact the ZappySys Support Team for assistance.

If you are still experiencing issues or need further help, please contact us:

Chat with an Expert

Frequent issues and solutions

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

Conclusion

In this guide, we demonstrated how to connect to MySQL in Azure Data Factory (SSIS) and integrate your data — all without writing complex code. 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).

Ready to get started? Download ODBC PowerPack now or ping us via chat if you still need help: