Access Linear Data from MySQL in Amazon QuickSight

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Connect to Linear and build visualizations of Linear data using a MySQL Connection 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 Linear to access Linear data through a MySQL connection in Amazon QuickSight, either in real time using direct queries, or by importing the data into SPICE.

Connect to Linear 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.

You can authenticate to Linear with a personal API key or with OAuth 2.0. The API key is the simplest option for connecting with your own Linear account.

Authenticating with an API Key

Set the following connection properties:

  • AuthScheme: Set this to APIKey.
  • APIKey: A Linear personal API key.

To create a personal API key, log in to Linear, open Settings > Security & access > Personal API keys, select New API key, and create it. Copy the key immediately, because Linear shows it only once.

Authenticating with OAuth

OAuth requires a custom OAuth application registered in Linear (Settings > API > OAuth applications), which provides the OAuthClientId and OAuthClientSecret. Two flows are supported:

  • Authorization code: Set AuthScheme to OAuth, InitiateOAuth to GETANDREFRESH, and provide OAuthClientId, OAuthClientSecret, and the CallbackURL defined in your application (e.g., http://localhost:33333). The driver opens Linear in your browser so you can grant access.
  • Client credentials: Set AuthScheme to OAuthClient and provide OAuthClientId and OAuthClientSecret. This authenticates the application itself, with no browser interaction, and suits machine-to-machine integrations.

By default, the driver requests the read,write scopes. The driver refreshes the access token automatically when it expires.

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 Linear 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 Linear 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 Linear in QuickSight

Once you have a MySQL Service configured for the Linear 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 Linear 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 Linear 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, Team).
  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 id, name FROM Team
    • 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 Linear and SQL Gateway, you are able to easily build data visualizations and perform analytics on Linear 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.

Ready to get started?

Download a free trial of the Linear ODBC Driver to get started:

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Learn more:

Linear Icon Linear ODBC Driver

The Linear ODBC Driver is a powerful tool that allows you to connect with live data from Linear, directly from any applications that support ODBC connectivity.

Access Linear data like you would a database - read Linear AgentSession, Comment, Customer, Cycle, Initiative, Integration, Issue, ProjectStatus, Release, Team, User, etc. through a standard ODBC Driver interface.