Connect to Authorize.Net 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 Authorize.Net data. This article demonstrates how to connect to Authorize.Net using Connect AI and query Authorize.Net data in HeidiSQL.

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

Configure Authorize.Net Connectivity for HeidiSQL

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

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

2. Select "Authorize.Net" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Authorize.Net.

   You can obtain the necessary connection properties on the Security Settings -> General Settings page after logging into your Merchant Account.

   • UseSandbox: The Authorize.Net API to be used to process transactions. If you are using a production account, this property can be left blank. If you are using a developer test account, set this to 'TRUE'.
   • LoginID: The API login Id associated with your payment gateway account. This property is used to authenticate that you are authorized to submit website transactions. Note that this value is not the same as the login Id that you use to log in to the Merchant Interface.
   • TransactionKey: The transaction key associated with your payment gateway account. This property is used to authenticate that you are authorized to submit website transactions.
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Authorize.Net 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 Authorize.Net data from HeidiSQL.

Connect to Authorize.Net 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-Authorize.Net

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 Authorize.Net from HeidiSQL

1. In the database listing on the left, find your connection to Authorize.Net configured earlier.
2. Expand this connection to view individual tables or data objects present within Authorize.Net.
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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