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Get the Report →Build Smartsheet-Connected ETL Processes in Google Data Fusion
Load the CData JDBC Driver into Google Data Fusion and create ETL processes with access live Smartsheet data.
Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData JDBC Driver for Smartsheet enables users to access live Smartsheet data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Smartsheet data to any data source natively supported in Google Data Fusion, this article walks through piping data from Smartsheet to Google BigQuery,
About Smartsheet Data Integration
CData provides the easiest way to access and integrate live data from Smartsheet. Customers use CData connectivity to:
- Read and write attachments, columns, comments and discussions.
- View the data in individuals cells, report on cell history, and more.
- Perform Smartsheet-specific actions like deleting or downloading attachments, creating, copying, deleting, or moving sheets, and moving or copying rows to another sheet.
Users frequently integrate Smartsheet with analytics tools such as Tableau, Crystal Reports, and Excel. Others leverage our tools to replicate Smartsheet data to databases or data warehouses.
Getting Started
Upload the CData JDBC Driver for Smartsheet to Google Data Fusion
Upload the CData JDBC Driver for Smartsheet to your Google Data Fusion instance to work with live Smartsheet 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: cdatasmartsheet-2020.jar
- Open your Google Data Fusion instance
- Click the to add an entity and upload a driver
- On the "Upload driver" tab, drag or browse to the renamed JAR file.
- On the "Driver configuration" tab:
- Name: Create a name for the driver (cdata.jdbc.smartsheet) and make note of the name
- Class name: Set the JDBC class name: (cdata.jdbc.smartsheet.SmartsheetDriver)
- Click "Finish"
Connect to Smartsheet Data in Google Data Fusion
With the JDBC Driver uploaded, you are ready to work with live Smartsheet data in Google Data Fusion Pipelines.
- Navigate to the Pipeline Studio to create a new Pipeline
- From the "Source" options, click "Database" to add a source for the JDBC Driver
- 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-smartsheet)
- Set Plugin Type to "jdbc"
- Set Connection String to the JDBC URL for Smartsheet. For example:
jdbc:smartsheet:RTK=5246...;OAuthClientId=MyOauthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;Smartsheet uses the OAuth authentication standard. To authenticate using OAuth, you will need to register an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties.
However, for testing purposes you can instead use the Personal Access Token you get when you create an application; set this to the OAuthAccessToken connection property.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Smartsheet JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.smartsheet.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 Smartsheet, i.e.:
SELECT * FROM Sheet_Event_Plan_Budget
- From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
- Click "Properties" on the BigQuery sink to edit the properties
- Set the Label
- Set Reference Name to a value like smartsheet-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 Smartsheet data into
With the Source and Sink configured, you are ready to pipe Smartsheet data into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from Smartsheet and import it into Google BigQuery.
While this is a simple pipeline, you can create more complex Smartsheet pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData JDBC Driver for Smartsheet and start working with your live Smartsheet data in Google Data Fusion today.