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URL: https://www.cdata.com/kb/tech/mysql-jdbc-snaplogic.rst

⇱ Integrate MySQL with External Services using SnapLogic


Integrate MySQL with External Services using SnapLogic

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData JDBC drivers in SnapLogic to integrate MySQL with External Services.

SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including MySQL, in their SnapLogic workflows.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live MySQL data. When platforms issue complex SQL queries to MySQL, the driver pushes supported SQL operations, like filters and aggregations, directly to MySQL and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying lets you work with MySQL data using native data types.

Connect to MySQL in SnapLogic

To connect to MySQL data in SnapLogic, download and install the CData MySQL JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for MySQL/lib by default).

Upload the MySQL JDBC Driver

After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.

πŸ‘ Uploaded JDBC Driver (Salesforce & QuickBooks Online are shown)

Configure the Connection

Once the JDBC Driver is uploaded, we can create the connection to MySQL.

  1. Navigate to the Designer tab
  2. Expand "JDBC" from Snaps and drag a "Generic JDBC - Select" snap onto the designer πŸ‘ Adding a Generic JDBC snap onto the designer
  3. Click Add Account (or select an existing one) and click "Continue"
  4. In the next form, configure the JDBC connection properties:
    • Under JDBC JARs, add the JAR file we previously uploaded
    • Set JDBC Driver Class to cdata.jdbc.mysql.MySQLDriver
    • Set JDBC URL to a JDBC connection string for the MySQL JDBC Driver, for example:

      jdbc:mysql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=3306;RTK=XXXXXX;

      NOTE: RTK is a trial or full key. Contact our Support team for more information. πŸ‘ Configuring a connection (Salesforce is shown)

      Built-In Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the MySQL JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.mysql.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      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
      πŸ‘ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
  5. After entering the connection properties, click "Validate" and "Apply"

Read MySQL Data

In the form that opens after validating and applying the connection, configure your query.

  • Set Schema name to "MySQL"
  • Set Table name to a table for MySQL using the schema name, for example: "MySQL"."Orders" (use the drop-down to see the full list of available tables)
  • Add Output fields for each item you wish to work with from the table
πŸ‘ Configuring a Select snap (Salesforce is shown)

Save the Generic JDBC - Select snap.

With connection and query configured, click the end of the snap to preview the data (highlighted below).

πŸ‘ Click the end of the snap to preview the data.

Once you confirm the results are what you expect, you can add additional snaps to funnel your MySQL data to another endpoint.

πŸ‘ Previewing data (Salesforce is shown).

Piping MySQL Data to External Services

For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.

  1. Start by dropping a "Worksheet Writer" snap onto the end of the "Generic JDBC - Select" snap.
  2. Add an account to connect to Google Sheets πŸ‘ Connecting to Google
  3. Configure the Worksheet Writer snap to write your MySQL data to a Google Spreadsheet πŸ‘ Writing to a Google Spreadsheet

You can now execute the fully configured pipeline to extract data from MySQL and push it into a Google Spreadsheet.

πŸ‘ Data written to Google Spreadsheets (Salesforce is shown)

Piping External Data to MySQL

As mentioned above, you can also use the JDBC Driver for MySQL in SnapLogic to write data to MySQL. Start by adding a Generic JDBC - Insert or Generic JDBC - Update snap to the dashboard.

  1. Select the existing "Account" (connection) or create a new one
  2. Configure the query:
    • Set Schema name to "MySQL"
    • Set Table name to a table for MySQL using the schema name, for example: "MySQL"."Orders" (use the drop-down to see the full list of available tables)
    πŸ‘ Configuring a INSERT snap (Salesforce is shown)
  3. Save the Generic JDBC - Insert/Update snap

At this point, you have configured a snap to write data to MySQL, inserting new records or updating existing ones.

More Information & Free Trial

Using the CData JDBC Driver for MySQL you can create a pipeline in SnapLogic for integrating MySQL data with external services. For more information about connecting to MySQL, check at our CData JDBC Driver for MySQL page. Download a free, 30 day trial of the CData JDBC Driver for MySQL and get started today.

Ready to get started?

Download a free trial of the MySQL Driver to get started:

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