Integrate with Phoenix Data in SnapLogic

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to and integrate with live Phoenix 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 Phoenix data. This article demonstrates how to connect to Phoenix using Connect AI and integrate with Phoenix data in SnapLogic.

CData Connect AI provides a pure SQL Server interface for Phoenix, allowing you to query data from Phoenix 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 Phoenix, leveraging server-side processing to return the requested Phoenix data quickly.

Configure Phoenix Connectivity for SnapLogic

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "Phoenix" from the Add Connection panel
  4. Selecting a data source
  5. Enter the necessary authentication properties to connect to Phoenix.

    Connect to Apache Phoenix via the Phoenix Query Server. Set the Server and Port (if different from the default port) properties to connect to Apache Phoenix. The Server property will typically be the host name or IP address of the server hosting Apache Phoenix.

    Authenticating to Apache Phoenix

    By default, no authentication will be used (plain). If authentication is configured for your server, set AuthScheme to NEGOTIATE and set the User and Password properties (if necessary) to authenticate through Kerberos. Configuring a connection (Salesforce is shown)

  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Phoenix 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 Phoenix data from SnapLogic.

Connect to Phoenix 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
  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
  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.

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