Query, Visualize, and Share live Phoenix Data in Redash

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to live Phoenix data in Redash for querying, visualizing, and sharing.

Redash is a collaboration tool that lets you query, visualize, and share your data. When paired with CData Connect AI, Redash gets access to live Phoenix data. This article demonstrates how to connect to Phoenix using Connect AI and work with live Phoenix data in Redash.

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 Redash

Connectivity to Phoenix from Redash is made possible through CData Connect AI. To work with Phoenix data in Redash, 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 Redash.

Connect to Phoenix from Redash using Connect AI

To establish a connection from Redash to CData Connect AI using the Virtual SQL Server, follow these steps:

  1. Log into Redash.
  2. Click the settings widget on the top right.
  3. Click New Data Source.
  4. Select Microsoft SQL Server as the Data Source Type.
  5. On the configuration tab, set the following properties:
    • Database Name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Salesforce1).
    • Server: enter the virtual SQL Server host name (tds.cdata.com)
    • User: 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 on the Settings page.
    • Port: enter 14333
    Configuring the connection to Connect AI from Redash.
  6. Click Create.
  7. Click Test Connection to ensure that the connection is configured properly.

You can now work with live Phoenix data in Redash.

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