Integrate with MySQL Data in SnapLogic

SnapLogic's iPaaS platform helps organizations automate application, data and cloud integrations. When paired with CData Connect AI, SnapLogic gets access to live MySQL data. This article demonstrates how to connect to MySQL using Connect AI and integrate with MySQL data in SnapLogic.

CData Connect AI provides a pure SQL Server interface for MySQL, allowing you to query data from MySQL without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to MySQL, leveraging server-side processing to return the requested MySQL data quickly.

Configure MySQL Connectivity for SnapLogic

Connectivity to MySQL from SnapLogic is made possible through CData Connect AI. To work with MySQL data from SnapLogic, we start by creating and configuring a MySQL connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "MySQL" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to MySQL.

   The CData Provider supports connecting to on-premises and cloud-hosted versions of MySQL such as Amazon RDS for MySQL, Google Cloud SQL for MySQL, Azure Database for MySQL, or Oracle MySQL HeatWave. The Server and Port properties must be set to a MySQL server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, tables from all databases will be returned.

   SSH Connectivity for MySQL

   You can use SSH (Secure Shell) to authenticate with MySQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

   SSH Connections to MySQL in Password Auth Mode

   To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

   • User: MySQL User name
   • Password: MySQL Password
   • Database: MySQL database name
   • Server: MySQL Server name
   • Port: MySQL port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Password"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHPassword: SSH Password

   SSH Connections to MySQL in Public Key Auth Mode

   To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

   • User: MySQL User name
   • Password: MySQL Password
   • Database: MySQL database name
   • Server: MySQL Server name
   • Port: MySQL port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Public_Key"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHClientCret: the path for the public key certificate file
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add MySQL Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to MySQL data from SnapLogic.

Connect to MySQL from SnapLogic using Connect AI

To establish a connection from SnapLogic to CData Connect AI, you will need to download the CData Connect AI JDBC Driver.

1. Open the Integrations page of CData Connect AI.
2. Search for and select JDBC.
3. Download and run the setup file.
4. When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).

After copying the JDBC CData Connect AI JAR file, you will need to paste it into the SnapLogic installation location and configure the connection to Connect AI.

1. Log into SnapLogic.
2. Click the Managers tab.
3. Select a folder from the Project Spaces to add the JDBC JAR file to. 👁 Selecting the hosting folder for the JAR file.
   
4. Click the Files tab. 👁 Navigating to the 'Files' tab.
   
5. Click the button in the top right to upload the CData Connect AI JDBC JAR file. It appears as a file once uploaded. 👁 Adding the JDBC Driver JAR
   
6. Click the Designer tab.
7. Click JDBC to expand the options for "snaps."
8. Click and drag a Generic JDBC - Select "snap" onto the designer. 👁 Using a 'Select' snap.
   
9. Click Add Account > Continue.
10. Enter the JDBC connection properties.
    • JDBC driver: add the CData Connect AI JAR file
    • JDBC driver Class: enter cdata.jdbc.connect.ConnectDriver
    • JDBC Url: enter a JDBC connection string for the JDBC driver. For example: jdbc:connect:AuthScheme=Basic;User={username};Password={PAT};
    • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
    • Password: enter the PAT you generated previously.
    👁 Configuring the connection to CData Connect AI.
    
11. Click Validate. If the connection succeeds, the "snap" is ready to use.
12. Click Apply.

You can now create reports with the connected data.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from SnapLogic, try CData Connect AI today!