Connect to Talkdesk Data from HeidiSQL

HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL. When paired with CData Connect AI, HediSQL reach extends to include access to live Talkdesk data. This article demonstrates how to connect to Talkdesk using Connect AI and query Talkdesk data in HeidiSQL.

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

Configure Talkdesk Connectivity for HeidiSQL

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

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

2. Select "Talkdesk" from the Add Connection panel

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

   Talkdesk uses the OAuth 2.0 Client Credentials grant. There is no browser-based authorization step and no callback URL.

   Set the following connection properties:

   • AccountName: The name of your Talkdesk account.
   • Region: The region where your Talkdesk instance is deployed. Supported values are US (default), EU, CA, AU, UK, and FedRamp.
   • OAuthClientId: The Client Id assigned when you registered your custom OAuth application.
   • OAuthClientSecret: The Client Secret assigned to your custom OAuth application.

   Creating a Custom OAuth Application

   1. Log in to your Talkdesk account and select OAuth Clients from the navigation menu.
   2. Click Create OAuth Client and give the client a descriptive name.
   3. Set Grant Type to Client Credentials.
   4. Click Add scopes and select the scopes for the data you want to access.
   5. Click Create and copy the Client Id and Client Secret.

   When you connect, the driver automatically requests an access token from Talkdesk, caches it, and refreshes it when it expires. Make sure the scopes selected for the application match the views you plan to query, or the token request can fail.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Talkdesk Connection page and update the User-based 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.
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 Talkdesk data from HeidiSQL.

Connect to Talkdesk from HeidiSQL using Connect AI

To establish a connection from HeidiSQL to the CData Connect AI Virtual SQL Server API, follow these steps.

Create a new HeidiSQL Session

1. In the Session Manager, select New in the bottom-left
2. Give the new session a descriptive name, e.g. Connect-Cloud-Talkdesk

Configure a SQL Server Connection to Connect AI

1. In the session settings, set the Network type to Microsoft SQL Server (TCP/IP)
2. The Library DLL should automatically update to MSOLEDBSQL
3. Set the Hostname/IP to tds.cdata.com
4. Set the User to your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected]
5. Set the Password to your PAT created in Connect AI in the previous section.
6. Set the Port to 14333

Query Talkdesk from HeidiSQL

1. In the database listing on the left, find your connection to Talkdesk configured earlier.
2. Expand this connection to view individual tables or data objects present within Talkdesk.
3. Write custom SQL queries targeting these tables, treating the data source like any SQL Server database, or visually explore each tabular data set by selecting the relevant tables

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