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Connect to Excel Online Data from HeidiSQL



Use CData Connect Cloud to connect to and query live Excel Online 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 Cloud, HediSQL reach extends to include access to live Excel Online data. This article demonstrates how to connect to Excel Online using Connect Cloud and query Excel Online data in HeidiSQL.

CData Connect Cloud provides a pure SQL Server interface for Excel Online, allowing you to query data from Excel Online without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Excel Online, leveraging server-side processing to return the requested Excel Online data quickly.

Configure Excel Online Connectivity for HeidiSQL

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

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "Excel Online" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Excel Online.

    You can connect to a workbook by providing authentication to Excel Online and then setting the following properties:

    • Workbook: Set this to the name or Id of the workbook.

      If you want to view a list of information about the available workbooks, execute a query to the Workbooks view after you authenticate.

    • UseSandbox: Set this to true if you are connecting to a workbook in a sandbox account. Otherwise, leave this blank to connect to a production account.

    You use the OAuth authentication standard to authenticate to Excel Online. See the Getting Started section in the help documentation for a guide. Getting Started also guides you through executing SQL to worksheets and ranges.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Excel Online Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your 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.

Connect to Excel Online from HeidiSQL using Connect Cloud

To establish a connection from HeidiSQL to the CData Connect Cloud 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-Excel Online

Configure a SQL Server Connection to Connect Cloud

  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 Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected]
  5. Set the Password to your PAT created in Connect Cloud in the previous section.
  6. Set the Port to 14333

Query Excel Online from HeidiSQL

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