Build Linear-Connected ETL Processes in Google Data Fusion

Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData JDBC Driver for Linear enables users to access live Linear data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Linear data to any data source natively supported in Google Data Fusion, this article explains how to pipe data from Linear to Google BigQuery,

Upload the CData JDBC Driver for Linear to Google Data Fusion

Upload the CData JDBC Driver for Linear to your Google Data Fusion instance to work with live Linear data. Due to the naming restrictions for JDBC drivers in Google Data Fusion, create a copy or rename the JAR file to match the following format driver-version.jar. For example: cdatalinear-2020.jar

1. Open your Google Data Fusion instance
2. Click the to add an entity and upload a driver
3. On the "Upload driver" tab, drag or browse to the renamed JAR file.
4. On the "Driver configuration" tab:
   • Name: Create a name for the driver (cdata.jdbc.linear) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.linear.LinearDriver)
   
5. Click "Finish"

Connect to Linear Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Linear data in Google Data Fusion Pipelines.

1. Navigate to the Pipeline Studio to create a new Pipeline
2. From the "Source" options, click "Database" to add a source for the JDBC Driver
3. Click "Properties" on the Database source to edit the properties

   NOTE: To use the JDBC Driver in Google Data Fusion, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

   • Set the Label
   • Set Reference Name to a value for any future references (i.e.: cdata-linear)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for Linear. For example:
     
     jdbc:linear:RTK=5246...;AuthScheme=APIKey;APIKey=myAPIKey;

     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.

     Built-in Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Linear JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     
           java -jar cdata.jdbc.linear.jar
           

     Fill in the connection properties and copy the connection string to the clipboard.

     
   • Set Import Query to a SQL query that will extract the data you want from Linear, i.e.:
     SELECT * FROM Team
   
4. From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
5. Click "Properties" on the BigQuery sink to edit the properties
   • Set the Label
   • Set Reference Name to a value like linear-bigquery
   • Set Project ID to a specific Google BigQuery Project ID (or leave as the default, "auto-detect")
   • Set Dataset to a specific Google BigQuery dataset
   • Set Table to the name of the table you wish to insert Linear data into
   

With the Source and Sink configured, you are ready to pipe Linear data into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from Linear and import it into Google BigQuery.

While this is a simple pipeline, you can create more complex Linear pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData JDBC Driver for Linear and start working with your live Linear data in Google Data Fusion today.