Access Lakebase Data from MySQL in Amazon QuickSight

Amazon QuickSight gives you a way to quickly build visualizations, perform analytics, and get insights from AWS data sources, uploaded files, and other databases in the cloud. When paired with the CData SQL Gateway, you get the same functionality with access to hundreds of Big Data, NoSQL, and SaaS sources, both on-premises and in the cloud. In this article, we use the SQL Gateway with the CData ODBC Driver for Lakebase to access Lakebase data through a MySQL connection in Amazon QuickSight, either in real time using direct queries, or by importing the data into SPICE.

Connect to Lakebase Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

To connect to Databricks Lakebase, start by setting the following properties:

• DatabricksInstance: The Databricks instance or server hostname, provided in the format instance-abcdef12-3456-7890-abcd-abcdef123456.database.cloud.databricks.com.
• Server: The host name or IP address of the server hosting the Lakebase database.
• Port (optional): The port of the server hosting the Lakebase database, set to 5432 by default.
• Database (optional): The database to connect to after authenticating to the Lakebase Server, set to the authenticating user's default database by default.

OAuth Client Authentication

To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:

1. Create and configure a new service principal
2. Assign permissions to the service principal
3. Create an OAuth secret for the service principal

For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.

OAuth PKCE Authentication

To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:

• AuthScheme: OAuthPKCE.
• User: The authenticating user's user ID.

For more information, refer to the Help documentation.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Lakebase data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

👁 Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

To connect to the SQL Gateway from QuickSight, you will need to run the SQL Gateway on a web-facing machine. After configuring the SQL Gateway, make note of the following information:

• The IP address or domain name of the machine hosting the SQL Gateway
• The data source name (likely CData Lakebase Sys) of the MySQL service
• The port number of the MySQL service
• The credentials of a SQL Gateway user with access to the service

Configure Remote Access

If your ODBC Driver and the remoting service are installed on-premise (and not accessible from Amazon QuickSight), you can use the reverse SSH tunneling feature to enable remote access. For detailed instructions, read our Knowledge Base article: SQL Gateway SSH Tunneling Capabilities.

Connect to Lakebase in QuickSight

Once you have a MySQL Service configured for the Lakebase ODBC Driver, you are ready to connect to the data in QuickSight. Start by logging in to your QuickSight console. From there, click Manage Data, then click New Data Set and choose MySQL as the data source.

👁 Create a new MySQL data source.

Configure the data set using the values for the MySQL service for Lakebase you configured in SQL Gateway (be sure to use the DSN for the database name). Validate your connection and click Create Data Source.

👁 Configure the connection to SQL Gateway (Salesforce is shown).

Visualize Lakebase Data in QuickSight

For this article, we will use a custom SQL query for our data visualization. To do so, click Edit/Preview Data and in the resulting Data Prep screen follow the steps below:

1. Name your data set (for example, Orders).
2. If you wish to import your data into QuickSight SPICE, click the SPICE option, otherwise QuickSight will query the data directly.
3. Under the Tables menu, click Switch to Custom SQL Tool.
   • Give your SQL query a name.
   • Enter your custom SQL query. For example:
     SELECT ShipName, ShipCity FROM Orders
   • Click Finish.
4. Click Save & Visualize.

👁 Create a custom SQL query (Salesforce is shown).

After you have saved the data set, you can configure the visualization. Select the columns you wish to visualize and choose a visual type. Your visualization can be customized, from its name to the way that data is aggregated.

👁 Visualize data in QuickSight (Salesforce is shown).

With the CData ODBC Driver for Lakebase and SQL Gateway, you are able to easily build data visualizations and perform analytics on Lakebase data in Amazon QuickSight. If you have any questions, such as needing to access your on-premises data from AWS QuickSight, let our Support Team know.