Connect to Spark 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 Spark data. This article demonstrates how to connect to Spark using Connect Cloud and query Spark data in HeidiSQL.

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

Configure Spark Connectivity for HeidiSQL

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

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

   Set the Server, Database, User, and Password connection properties to connect to SparkSQL.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Spark 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 Spark 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-Spark

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 Spark from HeidiSQL

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

Get CData Connect Cloud

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect Cloud today!